cola Report for recount2:TCGA_testis

Date: 2019-12-26 01:40:28 CET, cola version: 1.3.2

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Summary

All available functions which can be applied to this res_list object:

res_list
#> A 'ConsensusPartitionList' object with 24 methods.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows are extracted by 'SD, CV, MAD, ATC' methods.
#>   Subgroups are detected by 'hclust, kmeans, skmeans, pam, mclust, NMF' method.
#>   Number of partitions are tried for k = 2, 3, 4, 5, 6.
#>   Performed in total 30000 partitions by row resampling.
#> 
#> Following methods can be applied to this 'ConsensusPartitionList' object:
#>  [1] "cola_report"           "collect_classes"       "collect_plots"         "collect_stats"        
#>  [5] "colnames"              "functional_enrichment" "get_anno_col"          "get_anno"             
#>  [9] "get_classes"           "get_matrix"            "get_membership"        "get_stats"            
#> [13] "is_best_k"             "is_stable_k"           "ncol"                  "nrow"                 
#> [17] "rownames"              "show"                  "suggest_best_k"        "test_to_known_factors"
#> [21] "top_rows_heatmap"      "top_rows_overlap"     
#> 
#> You can get result for a single method by, e.g. object["SD", "hclust"] or object["SD:hclust"]
#> or a subset of methods by object[c("SD", "CV")], c("hclust", "kmeans")]

The call of run_all_consensus_partition_methods() was:

#> run_all_consensus_partition_methods(data = mat, mc.cores = 4)

Dimension of the input matrix:

mat = get_matrix(res_list)
dim(mat)
#> [1] 17978   156

Density distribution

The density distribution for each sample is visualized as in one column in the following heatmap. The clustering is based on the distance which is the Kolmogorov-Smirnov statistic between two distributions.

library(ComplexHeatmap)
densityHeatmap(mat, ylab = "value", cluster_columns = TRUE, show_column_names = FALSE,
    mc.cores = 4)

plot of chunk density-heatmap

Suggest the best k

Folowing table shows the best k (number of partitions) for each combination of top-value methods and partition methods. Clicking on the method name in the table goes to the section for a single combination of methods.

The cola vignette explains the definition of the metrics used for determining the best number of partitions.

suggest_best_k(res_list)
The best k 1-PAC Mean silhouette Concordance Optional k
SD:skmeans 3 1.000 0.991 0.997 ** 2
SD:mclust 3 1.000 0.986 0.987 ** 2
CV:skmeans 3 1.000 0.994 0.998 ** 2
CV:mclust 3 1.000 0.978 0.989 ** 2
CV:NMF 3 1.000 0.991 0.996 ** 2
MAD:kmeans 2 1.000 0.994 0.995 **
MAD:skmeans 3 1.000 0.981 0.992 ** 2
MAD:pam 3 1.000 0.987 0.995 ** 2
MAD:mclust 3 1.000 0.982 0.993 ** 2
MAD:NMF 4 1.000 0.973 0.989 ** 2,3
ATC:NMF 3 1.000 0.981 0.993 ** 2
ATC:mclust 4 1.000 0.969 0.985 ** 2,3
SD:NMF 4 1.000 0.957 0.979 ** 2,3
SD:hclust 2 0.999 0.965 0.982 **
ATC:kmeans 3 0.993 0.947 0.980 **
CV:pam 3 0.987 0.975 0.988 ** 2
ATC:pam 3 0.970 0.945 0.978 **
SD:pam 4 0.968 0.945 0.954 ** 2,3
ATC:skmeans 5 0.958 0.912 0.961 ** 2,3,4
CV:hclust 2 0.941 0.965 0.985 *
CV:kmeans 3 0.809 0.970 0.942
MAD:hclust 2 0.787 0.882 0.938
SD:kmeans 3 0.739 0.957 0.891
ATC:hclust 3 0.714 0.788 0.897

**: 1-PAC > 0.95, *: 1-PAC > 0.9

CDF of consensus matrices

Cumulative distribution function curves of consensus matrix for all methods.

collect_plots(res_list, fun = plot_ecdf)

plot of chunk collect-plots

Consensus heatmap

Consensus heatmaps for all methods. (What is a consensus heatmap?)

collect_plots(res_list, k = 2, fun = consensus_heatmap, mc.cores = 4)

plot of chunk tab-collect-consensus-heatmap-1

collect_plots(res_list, k = 3, fun = consensus_heatmap, mc.cores = 4)

plot of chunk tab-collect-consensus-heatmap-2

collect_plots(res_list, k = 4, fun = consensus_heatmap, mc.cores = 4)

plot of chunk tab-collect-consensus-heatmap-3

collect_plots(res_list, k = 5, fun = consensus_heatmap, mc.cores = 4)

plot of chunk tab-collect-consensus-heatmap-4

collect_plots(res_list, k = 6, fun = consensus_heatmap, mc.cores = 4)

plot of chunk tab-collect-consensus-heatmap-5

Membership heatmap

Membership heatmaps for all methods. (What is a membership heatmap?)

collect_plots(res_list, k = 2, fun = membership_heatmap, mc.cores = 4)

plot of chunk tab-collect-membership-heatmap-1

collect_plots(res_list, k = 3, fun = membership_heatmap, mc.cores = 4)

plot of chunk tab-collect-membership-heatmap-2

collect_plots(res_list, k = 4, fun = membership_heatmap, mc.cores = 4)

plot of chunk tab-collect-membership-heatmap-3

collect_plots(res_list, k = 5, fun = membership_heatmap, mc.cores = 4)

plot of chunk tab-collect-membership-heatmap-4

collect_plots(res_list, k = 6, fun = membership_heatmap, mc.cores = 4)

plot of chunk tab-collect-membership-heatmap-5

Signature heatmap

Signature heatmaps for all methods. (What is a signature heatmap?)

Note in following heatmaps, rows are scaled.

collect_plots(res_list, k = 2, fun = get_signatures, mc.cores = 4)

plot of chunk tab-collect-get-signatures-1

collect_plots(res_list, k = 3, fun = get_signatures, mc.cores = 4)

plot of chunk tab-collect-get-signatures-2

collect_plots(res_list, k = 4, fun = get_signatures, mc.cores = 4)

plot of chunk tab-collect-get-signatures-3

collect_plots(res_list, k = 5, fun = get_signatures, mc.cores = 4)

plot of chunk tab-collect-get-signatures-4

collect_plots(res_list, k = 6, fun = get_signatures, mc.cores = 4)

plot of chunk tab-collect-get-signatures-5

Statistics table

The statistics used for measuring the stability of consensus partitioning. (How are they defined?)

get_stats(res_list, k = 2)
#>             k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> SD:NMF      2 1.000           0.987       0.995          0.503 0.497   0.497
#> CV:NMF      2 1.000           0.995       0.998          0.504 0.497   0.497
#> MAD:NMF     2 1.000           0.999       1.000          0.503 0.497   0.497
#> ATC:NMF     2 1.000           0.965       0.986          0.498 0.503   0.503
#> SD:skmeans  2 1.000           1.000       1.000          0.503 0.497   0.497
#> CV:skmeans  2 1.000           0.997       0.999          0.503 0.497   0.497
#> MAD:skmeans 2 1.000           1.000       1.000          0.503 0.497   0.497
#> ATC:skmeans 2 1.000           0.988       0.995          0.503 0.497   0.497
#> SD:mclust   2 1.000           1.000       1.000          0.503 0.497   0.497
#> CV:mclust   2 1.000           0.999       0.999          0.503 0.497   0.497
#> MAD:mclust  2 1.000           0.999       1.000          0.503 0.497   0.497
#> ATC:mclust  2 1.000           1.000       1.000          0.503 0.497   0.497
#> SD:kmeans   2 0.627           0.892       0.923          0.471 0.497   0.497
#> CV:kmeans   2 0.653           0.828       0.910          0.431 0.604   0.604
#> MAD:kmeans  2 1.000           0.994       0.995          0.501 0.497   0.497
#> ATC:kmeans  2 0.607           0.819       0.924          0.469 0.509   0.509
#> SD:pam      2 1.000           1.000       1.000          0.503 0.497   0.497
#> CV:pam      2 1.000           0.999       0.999          0.503 0.497   0.497
#> MAD:pam     2 1.000           0.996       0.998          0.503 0.497   0.497
#> ATC:pam     2 0.798           0.953       0.973          0.498 0.497   0.497
#> SD:hclust   2 0.999           0.965       0.982          0.373 0.616   0.616
#> CV:hclust   2 0.941           0.965       0.985          0.323 0.672   0.672
#> MAD:hclust  2 0.787           0.882       0.938          0.491 0.499   0.499
#> ATC:hclust  2 0.579           0.827       0.924          0.406 0.598   0.598
get_stats(res_list, k = 3)
#>             k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> SD:NMF      3 1.000           0.984       0.994          0.262 0.850   0.704
#> CV:NMF      3 1.000           0.991       0.996          0.262 0.861   0.723
#> MAD:NMF     3 1.000           0.995       0.998          0.262 0.868   0.734
#> ATC:NMF     3 1.000           0.981       0.993          0.284 0.803   0.629
#> SD:skmeans  3 1.000           0.991       0.997          0.262 0.868   0.735
#> CV:skmeans  3 1.000           0.994       0.998          0.262 0.868   0.734
#> MAD:skmeans 3 1.000           0.981       0.992          0.262 0.868   0.734
#> ATC:skmeans 3 1.000           0.980       0.991          0.271 0.849   0.701
#> SD:mclust   3 1.000           0.986       0.987          0.256 0.868   0.735
#> CV:mclust   3 1.000           0.978       0.989          0.262 0.868   0.735
#> MAD:mclust  3 1.000           0.982       0.993          0.260 0.869   0.736
#> ATC:mclust  3 0.948           0.925       0.965          0.255 0.871   0.740
#> SD:kmeans   3 0.739           0.957       0.891          0.338 0.868   0.734
#> CV:kmeans   3 0.809           0.970       0.942          0.460 0.730   0.564
#> MAD:kmeans  3 0.725           0.942       0.860          0.252 0.868   0.735
#> ATC:kmeans  3 0.993           0.947       0.980          0.366 0.755   0.560
#> SD:pam      3 1.000           0.992       0.997          0.262 0.868   0.734
#> CV:pam      3 0.987           0.975       0.988          0.259 0.868   0.734
#> MAD:pam     3 1.000           0.987       0.995          0.262 0.868   0.734
#> ATC:pam     3 0.970           0.945       0.978          0.283 0.859   0.718
#> SD:hclust   3 0.766           0.898       0.940          0.686 0.749   0.592
#> CV:hclust   3 0.818           0.916       0.953          0.277 0.942   0.914
#> MAD:hclust  3 0.621           0.650       0.750          0.288 0.899   0.798
#> ATC:hclust  3 0.714           0.788       0.897          0.581 0.700   0.519
get_stats(res_list, k = 4)
#>             k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> SD:NMF      4 1.000           0.957       0.979         0.1138 0.905   0.747
#> CV:NMF      4 0.863           0.773       0.903         0.0864 0.967   0.910
#> MAD:NMF     4 1.000           0.973       0.989         0.1177 0.913   0.765
#> ATC:NMF     4 0.888           0.903       0.945         0.1067 0.925   0.796
#> SD:skmeans  4 0.887           0.865       0.937         0.1813 0.874   0.659
#> CV:skmeans  4 0.840           0.895       0.925         0.1711 0.881   0.673
#> MAD:skmeans 4 0.854           0.832       0.930         0.1748 0.879   0.672
#> ATC:skmeans 4 0.993           0.944       0.979         0.1183 0.918   0.773
#> SD:mclust   4 0.883           0.887       0.946         0.1046 0.950   0.864
#> CV:mclust   4 0.834           0.853       0.877         0.0755 0.972   0.923
#> MAD:mclust  4 0.850           0.879       0.938         0.1016 0.950   0.864
#> ATC:mclust  4 1.000           0.969       0.985         0.1501 0.897   0.723
#> SD:kmeans   4 0.645           0.551       0.770         0.1270 0.976   0.935
#> CV:kmeans   4 0.787           0.452       0.815         0.1220 0.975   0.933
#> MAD:kmeans  4 0.634           0.746       0.766         0.1238 0.883   0.679
#> ATC:kmeans  4 0.842           0.898       0.914         0.1120 0.903   0.735
#> SD:pam      4 0.968           0.945       0.954         0.1762 0.881   0.675
#> CV:pam      4 0.818           0.787       0.831         0.1143 0.967   0.910
#> MAD:pam     4 0.852           0.872       0.921         0.1756 0.883   0.678
#> ATC:pam     4 0.880           0.900       0.944         0.1312 0.912   0.762
#> SD:hclust   4 0.713           0.768       0.805         0.1268 0.884   0.681
#> CV:hclust   4 0.637           0.830       0.790         0.3086 0.716   0.542
#> MAD:hclust  4 0.693           0.657       0.849         0.1586 0.791   0.512
#> ATC:hclust  4 0.767           0.733       0.849         0.1147 0.904   0.733
get_stats(res_list, k = 5)
#>             k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> SD:NMF      5 0.843           0.838       0.871         0.0678 0.959   0.860
#> CV:NMF      5 0.800           0.814       0.893         0.0684 0.920   0.764
#> MAD:NMF     5 0.822           0.710       0.840         0.0733 0.935   0.777
#> ATC:NMF     5 0.827           0.816       0.897         0.0240 0.985   0.951
#> SD:skmeans  5 0.856           0.787       0.882         0.0494 0.945   0.789
#> CV:skmeans  5 0.839           0.760       0.855         0.0558 0.978   0.913
#> MAD:skmeans 5 0.855           0.834       0.890         0.0550 0.917   0.696
#> ATC:skmeans 5 0.958           0.912       0.961         0.0505 0.955   0.844
#> SD:mclust   5 0.786           0.667       0.847         0.0851 0.929   0.778
#> CV:mclust   5 0.799           0.683       0.844         0.0627 0.949   0.855
#> MAD:mclust  5 0.775           0.739       0.848         0.0940 0.882   0.649
#> ATC:mclust  5 0.884           0.903       0.896         0.0811 0.920   0.717
#> SD:kmeans   5 0.700           0.575       0.761         0.0733 0.880   0.663
#> CV:kmeans   5 0.717           0.710       0.791         0.0765 0.859   0.603
#> MAD:kmeans  5 0.709           0.607       0.732         0.0801 0.898   0.665
#> ATC:kmeans  5 0.752           0.679       0.796         0.0720 0.935   0.778
#> SD:pam      5 0.873           0.840       0.872         0.0557 1.000   1.000
#> CV:pam      5 0.845           0.847       0.919         0.1046 0.867   0.611
#> MAD:pam     5 0.887           0.872       0.894         0.0556 0.960   0.840
#> ATC:pam     5 0.813           0.779       0.857         0.0456 0.965   0.879
#> SD:hclust   5 0.748           0.686       0.797         0.0539 0.936   0.771
#> CV:hclust   5 0.733           0.904       0.930         0.2005 0.976   0.931
#> MAD:hclust  5 0.728           0.663       0.809         0.0567 0.937   0.763
#> ATC:hclust  5 0.779           0.738       0.854         0.0276 0.984   0.944
get_stats(res_list, k = 6)
#>             k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> SD:NMF      6 0.833           0.835       0.887         0.0577 0.900   0.636
#> CV:NMF      6 0.786           0.630       0.793         0.0608 0.938   0.777
#> MAD:NMF     6 0.826           0.788       0.879         0.0500 0.892   0.596
#> ATC:NMF     6 0.780           0.756       0.872         0.0304 0.942   0.821
#> SD:skmeans  6 0.819           0.707       0.831         0.0388 0.962   0.829
#> CV:skmeans  6 0.815           0.769       0.813         0.0372 0.933   0.729
#> MAD:skmeans 6 0.831           0.769       0.873         0.0405 0.964   0.829
#> ATC:skmeans 6 0.856           0.730       0.865         0.0472 0.983   0.932
#> SD:mclust   6 0.777           0.736       0.818         0.0457 0.871   0.554
#> CV:mclust   6 0.716           0.690       0.794         0.0594 0.935   0.794
#> MAD:mclust  6 0.896           0.857       0.920         0.0492 0.928   0.712
#> ATC:mclust  6 0.890           0.883       0.920         0.0457 0.939   0.721
#> SD:kmeans   6 0.708           0.534       0.719         0.0491 0.908   0.662
#> CV:kmeans   6 0.701           0.597       0.765         0.0494 0.960   0.828
#> MAD:kmeans  6 0.715           0.489       0.691         0.0489 0.888   0.616
#> ATC:kmeans  6 0.794           0.690       0.758         0.0464 0.890   0.587
#> SD:pam      6 0.879           0.766       0.865         0.0374 0.926   0.706
#> CV:pam      6 0.792           0.797       0.876         0.0409 0.957   0.805
#> MAD:pam     6 0.897           0.863       0.913         0.0468 0.946   0.757
#> ATC:pam     6 0.811           0.786       0.846         0.0432 0.953   0.824
#> SD:hclust   6 0.775           0.755       0.838         0.0403 0.937   0.759
#> CV:hclust   6 0.725           0.830       0.896         0.0276 0.994   0.980
#> MAD:hclust  6 0.751           0.687       0.814         0.0196 0.976   0.893
#> ATC:hclust  6 0.819           0.774       0.888         0.0399 0.948   0.808

Following heatmap plots the partition for each combination of methods and the lightness correspond to the silhouette scores for samples in each method. On top the consensus subgroup is inferred from all methods by taking the mean silhouette scores as weight.

collect_stats(res_list, k = 2)

plot of chunk tab-collect-stats-from-consensus-partition-list-1

collect_stats(res_list, k = 3)

plot of chunk tab-collect-stats-from-consensus-partition-list-2

collect_stats(res_list, k = 4)

plot of chunk tab-collect-stats-from-consensus-partition-list-3

collect_stats(res_list, k = 5)

plot of chunk tab-collect-stats-from-consensus-partition-list-4

collect_stats(res_list, k = 6)

plot of chunk tab-collect-stats-from-consensus-partition-list-5

Partition from all methods

Collect partitions from all methods:

collect_classes(res_list, k = 2)

plot of chunk tab-collect-classes-from-consensus-partition-list-1

collect_classes(res_list, k = 3)

plot of chunk tab-collect-classes-from-consensus-partition-list-2

collect_classes(res_list, k = 4)

plot of chunk tab-collect-classes-from-consensus-partition-list-3

collect_classes(res_list, k = 5)

plot of chunk tab-collect-classes-from-consensus-partition-list-4

collect_classes(res_list, k = 6)

plot of chunk tab-collect-classes-from-consensus-partition-list-5

Top rows overlap

Overlap of top rows from different top-row methods:

top_rows_overlap(res_list, top_n = 1000, method = "euler")

plot of chunk tab-top-rows-overlap-by-euler-1

top_rows_overlap(res_list, top_n = 2000, method = "euler")

plot of chunk tab-top-rows-overlap-by-euler-2

top_rows_overlap(res_list, top_n = 3000, method = "euler")

plot of chunk tab-top-rows-overlap-by-euler-3

top_rows_overlap(res_list, top_n = 4000, method = "euler")

plot of chunk tab-top-rows-overlap-by-euler-4

top_rows_overlap(res_list, top_n = 5000, method = "euler")

plot of chunk tab-top-rows-overlap-by-euler-5

Also visualize the correspondance of rankings between different top-row methods:

top_rows_overlap(res_list, top_n = 1000, method = "correspondance")

plot of chunk tab-top-rows-overlap-by-correspondance-1

top_rows_overlap(res_list, top_n = 2000, method = "correspondance")

plot of chunk tab-top-rows-overlap-by-correspondance-2

top_rows_overlap(res_list, top_n = 3000, method = "correspondance")

plot of chunk tab-top-rows-overlap-by-correspondance-3

top_rows_overlap(res_list, top_n = 4000, method = "correspondance")

plot of chunk tab-top-rows-overlap-by-correspondance-4

top_rows_overlap(res_list, top_n = 5000, method = "correspondance")

plot of chunk tab-top-rows-overlap-by-correspondance-5

Heatmaps of the top rows:

top_rows_heatmap(res_list, top_n = 1000)

plot of chunk tab-top-rows-heatmap-1

top_rows_heatmap(res_list, top_n = 2000)

plot of chunk tab-top-rows-heatmap-2

top_rows_heatmap(res_list, top_n = 3000)

plot of chunk tab-top-rows-heatmap-3

top_rows_heatmap(res_list, top_n = 4000)

plot of chunk tab-top-rows-heatmap-4

top_rows_heatmap(res_list, top_n = 5000)

plot of chunk tab-top-rows-heatmap-5

Results for each method


SD:hclust**

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["SD", "hclust"]
# you can also extract it by
# res = res_list["SD:hclust"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#>   Subgroups are detected by 'hclust' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 2.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk SD-hclust-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk SD-hclust-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 0.999           0.965       0.982         0.3735 0.616   0.616
#> 3 3 0.766           0.898       0.940         0.6856 0.749   0.592
#> 4 4 0.713           0.768       0.805         0.1268 0.884   0.681
#> 5 5 0.748           0.686       0.797         0.0539 0.936   0.771
#> 6 6 0.775           0.755       0.838         0.0403 0.937   0.759

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 2

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette    p1    p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     2  0.0938      0.989 0.012 0.988
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.993 0.000 1.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1  0.0000      0.946 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     2  0.0938      0.989 0.012 0.988
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     2  0.4431      0.902 0.092 0.908
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.993 0.000 1.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1  0.0000      0.946 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0000      0.993 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1  0.0000      0.946 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     2  0.0938      0.989 0.012 0.988
#> 12078907-435A-46C9-96C1-24E71BF4602D     1  0.8661      0.647 0.712 0.288
#> 8670C657-F6AB-4767-9278-42E64C614370     1  0.0000      0.946 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.993 0.000 1.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     2  0.0938      0.989 0.012 0.988
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.993 0.000 1.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     2  0.0938      0.989 0.012 0.988
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     2  0.0938      0.989 0.012 0.988
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.993 0.000 1.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.993 0.000 1.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.993 0.000 1.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.993 0.000 1.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.993 0.000 1.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.993 0.000 1.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      0.993 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.993 0.000 1.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.6973      0.786 0.812 0.188
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1  0.0000      0.946 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.993 0.000 1.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     2  0.0938      0.989 0.012 0.988
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.993 0.000 1.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1  0.0000      0.946 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1  0.8713      0.641 0.708 0.292
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.0000      0.993 0.000 1.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1  0.0000      0.946 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1  0.8713      0.641 0.708 0.292
#> 04156B26-81B5-4E17-A14A-819800ABFE36     2  0.0938      0.989 0.012 0.988
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1  0.0000      0.946 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.993 0.000 1.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000      0.993 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      0.993 0.000 1.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     2  0.0938      0.989 0.012 0.988
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1  0.0000      0.946 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0000      0.993 0.000 1.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     2  0.0938      0.989 0.012 0.988
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000      0.993 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1  0.0000      0.946 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1  0.0000      0.946 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     2  0.0938      0.989 0.012 0.988
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      0.993 0.000 1.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000      0.993 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1  0.0000      0.946 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.993 0.000 1.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.993 0.000 1.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     2  0.0938      0.989 0.012 0.988
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.993 0.000 1.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      0.993 0.000 1.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1  0.2778      0.916 0.952 0.048
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.993 0.000 1.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      0.993 0.000 1.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.993 0.000 1.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     2  0.0938      0.989 0.012 0.988
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      0.993 0.000 1.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     2  0.0938      0.989 0.012 0.988
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      0.993 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     2  0.0938      0.989 0.012 0.988
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      0.993 0.000 1.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      0.993 0.000 1.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.993 0.000 1.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     1  0.0000      0.946 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1  0.0000      0.946 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     2  0.0938      0.989 0.012 0.988
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     2  0.0938      0.989 0.012 0.988
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     2  0.0938      0.989 0.012 0.988
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000      0.993 0.000 1.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1  0.0000      0.946 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1  0.0000      0.946 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.993 0.000 1.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.993 0.000 1.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     2  0.0938      0.989 0.012 0.988
#> E61A5740-7C26-4730-9610-A3C710098B92     1  0.0000      0.946 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.993 0.000 1.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     2  0.4431      0.902 0.092 0.908
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.993 0.000 1.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1  0.0000      0.946 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     2  0.0938      0.989 0.012 0.988
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     2  0.0938      0.989 0.012 0.988
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000      0.993 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.993 0.000 1.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      0.993 0.000 1.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     2  0.2236      0.967 0.036 0.964
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      0.993 0.000 1.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1  0.0000      0.946 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.993 0.000 1.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.993 0.000 1.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000      0.993 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     2  0.0938      0.989 0.012 0.988
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     2  0.0938      0.989 0.012 0.988
#> 10161FA0-E389-4D98-B854-098AF908C898     1  0.0000      0.946 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.993 0.000 1.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     2  0.0938      0.989 0.012 0.988
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      0.993 0.000 1.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     2  0.0938      0.989 0.012 0.988
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.993 0.000 1.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.6973      0.786 0.812 0.188
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     2  0.0938      0.989 0.012 0.988
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      0.993 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     2  0.0938      0.989 0.012 0.988
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.993 0.000 1.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     2  0.0938      0.989 0.012 0.988
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1  0.2778      0.916 0.952 0.048
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      0.993 0.000 1.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.993 0.000 1.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     2  0.0938      0.989 0.012 0.988
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.993 0.000 1.000
#> 86689648-2C4A-456F-A551-B9731400846C     1  0.0000      0.946 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     2  0.0938      0.989 0.012 0.988
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      0.993 0.000 1.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     1  0.0000      0.946 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1  0.0000      0.946 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     2  0.0938      0.989 0.012 0.988
#> EF68CF6E-F46D-477A-B125-153DDE949C07     2  0.0938      0.989 0.012 0.988
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.8713      0.641 0.708 0.292
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1  0.0000      0.946 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     2  0.0938      0.989 0.012 0.988
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     2  0.0938      0.989 0.012 0.988
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.993 0.000 1.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000      0.993 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     2  0.0938      0.989 0.012 0.988
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      0.993 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      0.993 0.000 1.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     2  0.0938      0.989 0.012 0.988
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.993 0.000 1.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1  0.0000      0.946 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      0.993 0.000 1.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000      0.993 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.5946      0.833 0.856 0.144
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1  0.8713      0.641 0.708 0.292
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      0.993 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.993 0.000 1.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.993 0.000 1.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1  0.0000      0.946 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.993 0.000 1.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.993 0.000 1.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      0.993 0.000 1.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      0.993 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.993 0.000 1.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.993 0.000 1.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1  0.0000      0.946 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      0.993 0.000 1.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      0.993 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      0.993 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     2  0.4431      0.902 0.092 0.908
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1  0.0000      0.946 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.993 0.000 1.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     1  0.0000      0.946 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1  0.0000      0.946 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1    p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0592      0.906 0.988 0.012 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0424      0.947 0.008 0.992 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      0.943 0.000 0.000 1.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0592      0.906 0.988 0.012 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.8179      0.515 0.564 0.352 0.084
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.2711      0.933 0.088 0.912 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.943 0.000 0.000 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0592      0.941 0.012 0.988 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000      0.943 0.000 0.000 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.5882      0.572 0.652 0.348 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.5529      0.649 0.296 0.000 0.704
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      0.943 0.000 0.000 1.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.946 0.000 1.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0592      0.906 0.988 0.012 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.946 0.000 1.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.5058      0.727 0.756 0.244 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0592      0.906 0.988 0.012 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.946 0.000 1.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.946 0.000 1.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.2959      0.926 0.100 0.900 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.946 0.000 1.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.2959      0.926 0.100 0.900 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.946 0.000 1.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0592      0.941 0.012 0.988 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.2959      0.926 0.100 0.900 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     3  0.4504      0.765 0.196 0.000 0.804
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.943 0.000 0.000 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.2959      0.926 0.100 0.900 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0592      0.906 0.988 0.012 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.2878      0.929 0.096 0.904 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      0.943 0.000 0.000 1.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.5560      0.643 0.300 0.000 0.700
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.0592      0.941 0.012 0.988 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.943 0.000 0.000 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.5560      0.643 0.300 0.000 0.700
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0592      0.906 0.988 0.012 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.943 0.000 0.000 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.2959      0.926 0.100 0.900 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0592      0.941 0.012 0.988 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0424      0.947 0.008 0.992 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0592      0.906 0.988 0.012 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      0.943 0.000 0.000 1.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.2959      0.884 0.100 0.900 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0592      0.906 0.988 0.012 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0592      0.941 0.012 0.988 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.943 0.000 0.000 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      0.943 0.000 0.000 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0592      0.906 0.988 0.012 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0237      0.946 0.004 0.996 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0592      0.941 0.012 0.988 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.943 0.000 0.000 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.2711      0.933 0.088 0.912 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.2959      0.926 0.100 0.900 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0747      0.904 0.984 0.016 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.946 0.000 1.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      0.946 0.000 1.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.2050      0.911 0.020 0.028 0.952
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.2537      0.935 0.080 0.920 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.1031      0.946 0.024 0.976 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.2959      0.926 0.100 0.900 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0592      0.906 0.988 0.012 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.3686      0.895 0.140 0.860 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0592      0.906 0.988 0.012 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.3686      0.895 0.140 0.860 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0592      0.906 0.988 0.012 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0424      0.946 0.008 0.992 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0424      0.946 0.008 0.992 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.1411      0.945 0.036 0.964 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.943 0.000 0.000 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.943 0.000 0.000 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0592      0.906 0.988 0.012 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.5882      0.572 0.652 0.348 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0592      0.906 0.988 0.012 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0424      0.946 0.008 0.992 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.943 0.000 0.000 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.943 0.000 0.000 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.2959      0.926 0.100 0.900 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.2959      0.926 0.100 0.900 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0592      0.906 0.988 0.012 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.943 0.000 0.000 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.2959      0.926 0.100 0.900 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.8179      0.515 0.564 0.352 0.084
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.2356      0.938 0.072 0.928 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0424      0.939 0.008 0.000 0.992
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0592      0.906 0.988 0.012 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.5882      0.572 0.652 0.348 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0592      0.941 0.012 0.988 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.2625      0.933 0.084 0.916 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0424      0.946 0.008 0.992 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.1620      0.887 0.964 0.012 0.024
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0424      0.946 0.008 0.992 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.943 0.000 0.000 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.946 0.000 1.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.2959      0.926 0.100 0.900 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0592      0.941 0.012 0.988 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0592      0.906 0.988 0.012 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0592      0.906 0.988 0.012 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.943 0.000 0.000 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.2625      0.934 0.084 0.916 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.5882      0.572 0.652 0.348 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0424      0.943 0.008 0.992 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0592      0.906 0.988 0.012 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.946 0.000 1.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.4504      0.765 0.196 0.000 0.804
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0592      0.906 0.988 0.012 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.3686      0.895 0.140 0.860 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0592      0.906 0.988 0.012 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0424      0.947 0.008 0.992 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0592      0.906 0.988 0.012 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.2050      0.911 0.020 0.028 0.952
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.2711      0.933 0.088 0.912 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.2959      0.926 0.100 0.900 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0592      0.906 0.988 0.012 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.946 0.000 1.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      0.943 0.000 0.000 1.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0592      0.906 0.988 0.012 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0237      0.946 0.004 0.996 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0424      0.939 0.008 0.000 0.992
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      0.943 0.000 0.000 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0592      0.906 0.988 0.012 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.3752      0.800 0.856 0.144 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.5560      0.643 0.300 0.000 0.700
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.943 0.000 0.000 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0592      0.906 0.988 0.012 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0747      0.904 0.984 0.016 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0592      0.947 0.012 0.988 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0592      0.941 0.012 0.988 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.1289      0.882 0.968 0.032 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0424      0.946 0.008 0.992 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0592      0.941 0.012 0.988 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0592      0.906 0.988 0.012 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0592      0.947 0.012 0.988 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      0.943 0.000 0.000 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.2959      0.926 0.100 0.900 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0592      0.941 0.012 0.988 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.3879      0.816 0.152 0.000 0.848
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.5560      0.643 0.300 0.000 0.700
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.3686      0.895 0.140 0.860 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.946 0.000 1.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.3116      0.922 0.108 0.892 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      0.943 0.000 0.000 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.2959      0.926 0.100 0.900 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.2796      0.930 0.092 0.908 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.1031      0.946 0.024 0.976 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0424      0.943 0.008 0.992 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.2959      0.926 0.100 0.900 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.2959      0.926 0.100 0.900 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      0.943 0.000 0.000 1.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.1163      0.946 0.028 0.972 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.3686      0.895 0.140 0.860 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0592      0.941 0.012 0.988 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.8179      0.515 0.564 0.352 0.084
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      0.943 0.000 0.000 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.2959      0.926 0.100 0.900 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0424      0.939 0.008 0.000 0.992
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      0.943 0.000 0.000 1.000

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     4  0.4936      0.634 0.008 0.340 0.000 0.652
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.1557      0.903 0.000 0.056 0.944 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.6971      0.499 0.548 0.028 0.060 0.364
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.6295      0.754 0.072 0.580 0.000 0.348
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.912 0.000 0.000 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.0336      0.610 0.000 0.008 0.000 0.992
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0817      0.911 0.000 0.024 0.976 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.4713      0.580 0.640 0.000 0.000 0.360
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.7782      0.408 0.264 0.312 0.424 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.1302      0.907 0.000 0.044 0.956 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     4  0.4605      0.660 0.000 0.336 0.000 0.664
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     4  0.4543      0.673 0.000 0.324 0.000 0.676
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.3975      0.726 0.760 0.000 0.000 0.240
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     4  0.4543      0.673 0.000 0.324 0.000 0.676
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     4  0.4605      0.660 0.000 0.336 0.000 0.664
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.5757      0.870 0.076 0.684 0.000 0.240
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     4  0.4543      0.673 0.000 0.324 0.000 0.676
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.5900      0.872 0.076 0.664 0.000 0.260
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     4  0.4543      0.673 0.000 0.324 0.000 0.676
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.0469      0.615 0.000 0.012 0.000 0.988
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.5900      0.872 0.076 0.664 0.000 0.260
#> 00B1B6C5-C4C1-4248-8879-F30727137391     3  0.4630      0.735 0.196 0.036 0.768 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.912 0.000 0.000 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.5757      0.870 0.076 0.684 0.000 0.240
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.6275      0.791 0.076 0.596 0.000 0.328
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0336      0.911 0.000 0.008 0.992 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.7790      0.404 0.264 0.316 0.420 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.0000      0.607 0.000 0.000 0.000 1.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.912 0.000 0.000 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.7790      0.404 0.264 0.316 0.420 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.912 0.000 0.000 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.5900      0.872 0.076 0.664 0.000 0.260
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0000      0.607 0.000 0.000 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     4  0.4897      0.649 0.008 0.332 0.000 0.660
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.1302      0.907 0.000 0.044 0.956 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.3667      0.563 0.088 0.056 0.000 0.856
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.0336      0.610 0.000 0.008 0.000 0.992
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.912 0.000 0.000 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0817      0.911 0.000 0.024 0.976 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     4  0.4741      0.662 0.004 0.328 0.000 0.668
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.0336      0.610 0.000 0.008 0.000 0.992
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.912 0.000 0.000 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.6295      0.754 0.072 0.580 0.000 0.348
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.5757      0.870 0.076 0.684 0.000 0.240
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0188      0.910 0.996 0.000 0.000 0.004
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     4  0.4543      0.673 0.000 0.324 0.000 0.676
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     4  0.4477      0.679 0.000 0.312 0.000 0.688
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.1958      0.891 0.020 0.008 0.944 0.028
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.6315      0.631 0.064 0.540 0.000 0.396
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.5244      0.468 0.012 0.388 0.000 0.600
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.5757      0.870 0.076 0.684 0.000 0.240
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.6979      0.674 0.120 0.504 0.000 0.376
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.6979      0.674 0.120 0.504 0.000 0.376
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     4  0.4360      0.688 0.008 0.248 0.000 0.744
#> 1339CB34-B996-470A-9710-0649DD05D18A     4  0.4360      0.688 0.008 0.248 0.000 0.744
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     4  0.5708      0.341 0.028 0.416 0.000 0.556
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.912 0.000 0.000 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.912 0.000 0.000 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.4713      0.580 0.640 0.000 0.000 0.360
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.4011      0.684 0.008 0.208 0.000 0.784
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.912 0.000 0.000 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.912 0.000 0.000 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.5900      0.872 0.076 0.664 0.000 0.260
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.5757      0.870 0.076 0.684 0.000 0.240
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.912 0.000 0.000 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.5873      0.873 0.076 0.668 0.000 0.256
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.6971      0.499 0.548 0.028 0.060 0.364
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.6188      0.624 0.056 0.548 0.000 0.396
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.1209      0.908 0.004 0.032 0.964 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.4713      0.580 0.640 0.000 0.000 0.360
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.0336      0.610 0.000 0.008 0.000 0.992
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.5972      0.839 0.068 0.640 0.000 0.292
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     4  0.4360      0.688 0.008 0.248 0.000 0.744
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0817      0.893 0.976 0.000 0.024 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     4  0.4360      0.688 0.008 0.248 0.000 0.744
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.912 0.000 0.000 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     4  0.4543      0.673 0.000 0.324 0.000 0.676
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.5757      0.870 0.076 0.684 0.000 0.240
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.0336      0.610 0.000 0.008 0.000 0.992
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.912 0.000 0.000 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.6347      0.667 0.068 0.548 0.000 0.384
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.4713      0.580 0.640 0.000 0.000 0.360
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     4  0.1637      0.637 0.000 0.060 0.000 0.940
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     4  0.4543      0.673 0.000 0.324 0.000 0.676
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.4630      0.735 0.196 0.036 0.768 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.6952      0.687 0.120 0.516 0.000 0.364
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     4  0.4897      0.649 0.008 0.332 0.000 0.660
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.1958      0.891 0.020 0.008 0.944 0.028
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.6295      0.754 0.072 0.580 0.000 0.348
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.5927      0.870 0.076 0.660 0.000 0.264
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     4  0.4605      0.660 0.000 0.336 0.000 0.664
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      0.912 0.000 0.000 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.4741      0.662 0.004 0.328 0.000 0.668
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.1209      0.908 0.004 0.032 0.964 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.1557      0.903 0.000 0.056 0.944 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.2814      0.819 0.868 0.000 0.000 0.132
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.7790      0.404 0.264 0.316 0.420 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.912 0.000 0.000 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0188      0.910 0.996 0.000 0.000 0.004
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     4  0.5279      0.444 0.012 0.400 0.000 0.588
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.0469      0.615 0.000 0.012 0.000 0.988
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.1302      0.887 0.956 0.000 0.000 0.044
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.4011      0.684 0.008 0.208 0.000 0.784
#> 16A70057-AF47-4934-992E-3E9CF6E74684     4  0.3074      0.657 0.000 0.152 0.000 0.848
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.912 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     4  0.5300      0.413 0.012 0.408 0.000 0.580
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.1557      0.903 0.000 0.056 0.944 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.5927      0.870 0.076 0.660 0.000 0.264
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0000      0.607 0.000 0.000 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.4514      0.783 0.148 0.056 0.796 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.7790      0.404 0.264 0.316 0.420 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.6979      0.674 0.120 0.504 0.000 0.376
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     4  0.4564      0.670 0.000 0.328 0.000 0.672
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.6022      0.866 0.084 0.656 0.000 0.260
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0817      0.911 0.000 0.024 0.976 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.5927      0.870 0.076 0.660 0.000 0.264
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.5851      0.862 0.068 0.660 0.000 0.272
#> 4022B5D9-8B67-45C3-867B-A72129500F86     4  0.5476      0.465 0.020 0.396 0.000 0.584
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.1637      0.637 0.000 0.060 0.000 0.940
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.5757      0.870 0.076 0.684 0.000 0.240
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.5757      0.870 0.076 0.684 0.000 0.240
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.1637      0.903 0.000 0.060 0.940 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     4  0.5387      0.425 0.016 0.400 0.000 0.584
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.6979      0.674 0.120 0.504 0.000 0.376
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     4  0.0469      0.615 0.000 0.012 0.000 0.988
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.6971      0.499 0.548 0.028 0.060 0.364
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.1389      0.906 0.000 0.048 0.952 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.5757      0.870 0.076 0.684 0.000 0.240
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.1209      0.908 0.004 0.032 0.964 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.1557      0.903 0.000 0.056 0.944 0.000

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0162      0.891 0.996 0.004 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     4  0.1768      0.542 0.000 0.072 0.000 0.924 0.004
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.1410      0.924 0.000 0.000 0.940 0.000 0.060
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.7486      0.430 0.544 0.112 0.036 0.252 0.056
#> 3D71A939-4D61-4178-91C8-9B5004B14064     4  0.4538     -0.701 0.008 0.452 0.000 0.540 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.945 0.000 0.000 1.000 0.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.5595      0.481 0.000 0.356 0.000 0.560 0.084
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.1281      0.937 0.000 0.032 0.956 0.000 0.012
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.5929      0.541 0.640 0.056 0.000 0.248 0.056
#> 12078907-435A-46C9-96C1-24E71BF4602D     5  0.3323      0.995 0.056 0.000 0.100 0.000 0.844
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.1197      0.932 0.000 0.000 0.952 0.000 0.048
#> 1709294C-7194-493D-AF5C-574927F57C0C     4  0.1043      0.579 0.000 0.040 0.000 0.960 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     4  0.0510      0.595 0.000 0.016 0.000 0.984 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.4676      0.673 0.760 0.044 0.000 0.164 0.032
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0162      0.891 0.996 0.004 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     4  0.0510      0.595 0.000 0.016 0.000 0.984 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     4  0.0963      0.583 0.000 0.036 0.000 0.964 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.4242      0.895 0.000 0.572 0.000 0.428 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     4  0.0703      0.590 0.000 0.024 0.000 0.976 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.4278      0.885 0.000 0.548 0.000 0.452 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     4  0.0510      0.595 0.000 0.016 0.000 0.984 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.5233      0.534 0.000 0.288 0.000 0.636 0.076
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.4283      0.882 0.000 0.544 0.000 0.456 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     3  0.4360      0.652 0.192 0.016 0.760 0.000 0.032
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.945 0.000 0.000 1.000 0.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.4242      0.895 0.000 0.572 0.000 0.428 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     4  0.4555     -0.751 0.008 0.472 0.000 0.520 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0794      0.938 0.000 0.028 0.972 0.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     5  0.3269      0.999 0.056 0.000 0.096 0.000 0.848
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.5385      0.524 0.000 0.288 0.000 0.624 0.088
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.945 0.000 0.000 1.000 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     5  0.3269      0.999 0.056 0.000 0.096 0.000 0.848
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.945 0.000 0.000 1.000 0.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.4278      0.885 0.000 0.548 0.000 0.452 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.5385      0.524 0.000 0.288 0.000 0.624 0.088
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     4  0.0703      0.589 0.000 0.024 0.000 0.976 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.1197      0.932 0.000 0.000 0.952 0.000 0.048
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.6795      0.458 0.088 0.308 0.000 0.536 0.068
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0162      0.891 0.996 0.004 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.5595      0.481 0.000 0.356 0.000 0.560 0.084
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.945 0.000 0.000 1.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.1281      0.937 0.000 0.032 0.956 0.000 0.012
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     4  0.1285      0.586 0.004 0.036 0.000 0.956 0.004
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.5595      0.481 0.000 0.356 0.000 0.560 0.084
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.945 0.000 0.000 1.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     4  0.4538     -0.701 0.008 0.452 0.000 0.540 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.4242      0.895 0.000 0.572 0.000 0.428 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0162      0.891 0.996 0.000 0.000 0.000 0.004
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     4  0.0703      0.609 0.000 0.024 0.000 0.976 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     4  0.1121      0.611 0.000 0.044 0.000 0.956 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.2151      0.904 0.016 0.040 0.924 0.020 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     4  0.4517     -0.467 0.008 0.372 0.000 0.616 0.004
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.3170      0.536 0.008 0.160 0.000 0.828 0.004
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.4242      0.895 0.000 0.572 0.000 0.428 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.5554      0.704 0.044 0.624 0.000 0.304 0.028
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.5535      0.685 0.044 0.628 0.000 0.300 0.028
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     4  0.2694      0.614 0.008 0.068 0.000 0.892 0.032
#> 1339CB34-B996-470A-9710-0649DD05D18A     4  0.2694      0.614 0.008 0.068 0.000 0.892 0.032
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     4  0.2732      0.373 0.000 0.160 0.000 0.840 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.945 0.000 0.000 1.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.945 0.000 0.000 1.000 0.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.5929      0.541 0.640 0.056 0.000 0.248 0.056
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.3285      0.608 0.008 0.092 0.000 0.856 0.044
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.945 0.000 0.000 1.000 0.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.945 0.000 0.000 1.000 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.4287      0.878 0.000 0.540 0.000 0.460 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.4242      0.895 0.000 0.572 0.000 0.428 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0162      0.891 0.996 0.004 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.945 0.000 0.000 1.000 0.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.4283      0.880 0.000 0.544 0.000 0.456 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.7486      0.430 0.544 0.112 0.036 0.252 0.056
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     4  0.4478     -0.441 0.008 0.360 0.000 0.628 0.004
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.1502      0.928 0.000 0.056 0.940 0.000 0.004
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0162      0.891 0.996 0.004 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.5929      0.541 0.640 0.056 0.000 0.248 0.056
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.5595      0.481 0.000 0.356 0.000 0.560 0.084
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     4  0.4306     -0.793 0.000 0.492 0.000 0.508 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     4  0.2694      0.614 0.008 0.068 0.000 0.892 0.032
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0703      0.870 0.976 0.000 0.024 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     4  0.2694      0.614 0.008 0.068 0.000 0.892 0.032
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.945 0.000 0.000 1.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     4  0.0703      0.609 0.000 0.024 0.000 0.976 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.4242      0.895 0.000 0.572 0.000 0.428 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.5595      0.481 0.000 0.356 0.000 0.560 0.084
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.945 0.000 0.000 1.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     4  0.4604     -0.572 0.008 0.404 0.000 0.584 0.004
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.5929      0.541 0.640 0.056 0.000 0.248 0.056
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     4  0.4898      0.558 0.000 0.248 0.000 0.684 0.068
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0162      0.891 0.996 0.004 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     4  0.0609      0.593 0.000 0.020 0.000 0.980 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.4360      0.652 0.192 0.016 0.760 0.000 0.032
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.5458      0.713 0.044 0.644 0.000 0.284 0.028
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     4  0.0703      0.589 0.000 0.024 0.000 0.976 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.2151      0.904 0.016 0.040 0.924 0.020 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     4  0.4538     -0.701 0.008 0.452 0.000 0.540 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.4294      0.868 0.000 0.532 0.000 0.468 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     4  0.1043      0.579 0.000 0.040 0.000 0.960 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0609      0.940 0.000 0.020 0.980 0.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.1285      0.586 0.004 0.036 0.000 0.956 0.004
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.1502      0.928 0.000 0.056 0.940 0.000 0.004
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.1410      0.924 0.000 0.000 0.940 0.000 0.060
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.2983      0.781 0.868 0.004 0.000 0.096 0.032
#> B18217F7-303C-4104-848E-A354DADE72BF     5  0.3269      0.999 0.056 0.000 0.096 0.000 0.848
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.945 0.000 0.000 1.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0162      0.891 0.996 0.004 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0162      0.891 0.996 0.000 0.000 0.000 0.004
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     4  0.2806      0.384 0.000 0.152 0.000 0.844 0.004
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.5233      0.534 0.000 0.288 0.000 0.636 0.076
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.1310      0.861 0.956 0.020 0.000 0.024 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.3646      0.604 0.008 0.120 0.000 0.828 0.044
#> 16A70057-AF47-4934-992E-3E9CF6E74684     4  0.3305      0.581 0.000 0.224 0.000 0.776 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.893 1.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     4  0.2890      0.363 0.000 0.160 0.000 0.836 0.004
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.1341      0.927 0.000 0.000 0.944 0.000 0.056
#> 879DC385-8E19-410C-8C04-0B7015FB7289     4  0.4304     -0.787 0.000 0.484 0.000 0.516 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.5385      0.524 0.000 0.288 0.000 0.624 0.088
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.4328      0.721 0.144 0.036 0.788 0.000 0.032
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     5  0.3269      0.999 0.056 0.000 0.096 0.000 0.848
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.5637      0.653 0.044 0.604 0.000 0.324 0.028
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     4  0.0794      0.588 0.000 0.028 0.000 0.972 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.4522      0.879 0.008 0.552 0.000 0.440 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.1281      0.937 0.000 0.032 0.956 0.000 0.012
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.4294      0.868 0.000 0.532 0.000 0.468 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.4300      0.855 0.000 0.524 0.000 0.476 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     4  0.2230      0.475 0.000 0.116 0.000 0.884 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.4898      0.558 0.000 0.248 0.000 0.684 0.068
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.4242      0.895 0.000 0.572 0.000 0.428 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.4242      0.895 0.000 0.572 0.000 0.428 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.1502      0.926 0.000 0.004 0.940 0.000 0.056
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     4  0.3129      0.515 0.008 0.156 0.000 0.832 0.004
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.5637      0.653 0.044 0.604 0.000 0.324 0.028
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     4  0.5233      0.534 0.000 0.288 0.000 0.636 0.076
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.7486      0.430 0.544 0.112 0.036 0.252 0.056
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.1270      0.930 0.000 0.000 0.948 0.000 0.052
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.4242      0.895 0.000 0.572 0.000 0.428 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.1502      0.928 0.000 0.056 0.940 0.000 0.004
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.1410      0.924 0.000 0.000 0.940 0.000 0.060

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.1267     0.9088 0.940 0.000 0.000 0.060 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     5  0.2454     0.5520 0.000 0.160 0.000 0.000 0.840 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.2325     0.9021 0.000 0.000 0.892 0.048 0.000 0.060
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9247 1.000 0.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     4  0.4006     0.7687 0.252 0.000 0.012 0.716 0.020 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.4269     0.7850 0.000 0.568 0.000 0.020 0.412 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0508     0.9284 0.000 0.004 0.984 0.012 0.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     5  0.5373     0.4537 0.000 0.216 0.000 0.196 0.588 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.1625     0.9171 0.000 0.000 0.928 0.060 0.000 0.012
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#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.3482     0.8687 0.000 0.684 0.000 0.000 0.316 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.3482     0.8687 0.000 0.684 0.000 0.000 0.316 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.2263     0.9061 0.000 0.000 0.896 0.048 0.000 0.056
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     5  0.2831     0.5506 0.000 0.136 0.000 0.024 0.840 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.3998     0.5749 0.000 0.712 0.000 0.040 0.248 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     5  0.4613     0.5552 0.000 0.128 0.000 0.180 0.692 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     4  0.4006     0.7687 0.252 0.000 0.012 0.716 0.020 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.2201     0.9069 0.000 0.000 0.900 0.048 0.000 0.052
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.3482     0.8687 0.000 0.684 0.000 0.000 0.316 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.1753     0.9097 0.000 0.000 0.912 0.084 0.000 0.004
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.2325     0.9021 0.000 0.000 0.892 0.048 0.000 0.060

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-SD-hclust-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-SD-hclust-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-SD-hclust-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-SD-hclust-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-SD-hclust-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-SD-hclust-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-SD-hclust-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-SD-hclust-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-SD-hclust-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-SD-hclust-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-SD-hclust-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-SD-hclust-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-SD-hclust-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-SD-hclust-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-SD-hclust-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-SD-hclust-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-SD-hclust-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-SD-hclust-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-SD-hclust-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-SD-hclust-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk SD-hclust-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-SD-hclust-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-SD-hclust-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-SD-hclust-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-SD-hclust-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-SD-hclust-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk SD-hclust-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


SD:kmeans

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["SD", "kmeans"]
# you can also extract it by
# res = res_list["SD:kmeans"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#>   Subgroups are detected by 'kmeans' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 3.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk SD-kmeans-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk SD-kmeans-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 0.627           0.892       0.923         0.4709 0.497   0.497
#> 3 3 0.739           0.957       0.891         0.3379 0.868   0.734
#> 4 4 0.645           0.551       0.770         0.1270 0.976   0.935
#> 5 5 0.700           0.575       0.761         0.0733 0.880   0.663
#> 6 6 0.708           0.534       0.719         0.0491 0.908   0.662

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 3

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette    p1    p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1   0.861      0.759 0.716 0.284
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2   0.000      1.000 0.000 1.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1   0.000      0.832 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1   0.913      0.736 0.672 0.328
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1   0.697      0.791 0.812 0.188
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2   0.000      1.000 0.000 1.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1   0.000      0.832 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2   0.000      1.000 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1   0.000      0.832 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1   0.913      0.736 0.672 0.328
#> 12078907-435A-46C9-96C1-24E71BF4602D     1   0.000      0.832 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     1   0.000      0.832 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2   0.000      1.000 0.000 1.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1   0.913      0.736 0.672 0.328
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2   0.000      1.000 0.000 1.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1   0.913      0.736 0.672 0.328
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1   0.833      0.768 0.736 0.264
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2   0.000      1.000 0.000 1.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2   0.000      1.000 0.000 1.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2   0.000      1.000 0.000 1.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2   0.000      1.000 0.000 1.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2   0.000      1.000 0.000 1.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2   0.000      1.000 0.000 1.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2   0.000      1.000 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2   0.000      1.000 0.000 1.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1   0.000      0.832 1.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1   0.000      0.832 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2   0.000      1.000 0.000 1.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1   0.913      0.736 0.672 0.328
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2   0.000      1.000 0.000 1.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1   0.000      0.832 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1   0.000      0.832 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2   0.000      1.000 0.000 1.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1   0.000      0.832 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1   0.000      0.832 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1   0.913      0.736 0.672 0.328
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1   0.000      0.832 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2   0.000      1.000 0.000 1.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2   0.000      1.000 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2   0.000      1.000 0.000 1.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1   0.913      0.736 0.672 0.328
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1   0.000      0.832 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2   0.000      1.000 0.000 1.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1   0.833      0.768 0.736 0.264
#> C3087790-7575-4662-A7DC-B32808B9A775     2   0.000      1.000 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1   0.000      0.832 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1   0.000      0.832 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1   0.913      0.736 0.672 0.328
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2   0.000      1.000 0.000 1.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2   0.000      1.000 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1   0.000      0.832 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2   0.000      1.000 0.000 1.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2   0.000      1.000 0.000 1.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1   0.913      0.736 0.672 0.328
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2   0.000      1.000 0.000 1.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2   0.000      1.000 0.000 1.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1   0.000      0.832 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2   0.000      1.000 0.000 1.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2   0.000      1.000 0.000 1.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2   0.000      1.000 0.000 1.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1   0.913      0.736 0.672 0.328
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2   0.000      1.000 0.000 1.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1   0.913      0.736 0.672 0.328
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2   0.000      1.000 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1   0.913      0.736 0.672 0.328
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2   0.000      1.000 0.000 1.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2   0.000      1.000 0.000 1.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2   0.000      1.000 0.000 1.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     1   0.000      0.832 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1   0.000      0.832 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1   0.913      0.736 0.672 0.328
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1   0.913      0.736 0.672 0.328
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1   0.913      0.736 0.672 0.328
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2   0.000      1.000 0.000 1.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1   0.000      0.832 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1   0.000      0.832 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2   0.000      1.000 0.000 1.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2   0.000      1.000 0.000 1.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1   0.909      0.739 0.676 0.324
#> E61A5740-7C26-4730-9610-A3C710098B92     1   0.000      0.832 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2   0.000      1.000 0.000 1.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1   0.821      0.771 0.744 0.256
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2   0.000      1.000 0.000 1.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1   0.000      0.832 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1   0.833      0.768 0.736 0.264
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1   0.913      0.736 0.672 0.328
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2   0.000      1.000 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2   0.000      1.000 0.000 1.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2   0.000      1.000 0.000 1.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1   0.311      0.821 0.944 0.056
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2   0.000      1.000 0.000 1.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1   0.000      0.832 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2   0.000      1.000 0.000 1.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2   0.000      1.000 0.000 1.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2   0.000      1.000 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1   0.913      0.736 0.672 0.328
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1   0.913      0.736 0.672 0.328
#> 10161FA0-E389-4D98-B854-098AF908C898     1   0.000      0.832 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2   0.000      1.000 0.000 1.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1   0.913      0.736 0.672 0.328
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2   0.000      1.000 0.000 1.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1   0.913      0.736 0.672 0.328
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2   0.000      1.000 0.000 1.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1   0.000      0.832 1.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1   0.913      0.736 0.672 0.328
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2   0.000      1.000 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1   0.913      0.736 0.672 0.328
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2   0.000      1.000 0.000 1.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1   0.913      0.736 0.672 0.328
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1   0.000      0.832 1.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2   0.000      1.000 0.000 1.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2   0.000      1.000 0.000 1.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1   0.913      0.736 0.672 0.328
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2   0.000      1.000 0.000 1.000
#> 86689648-2C4A-456F-A551-B9731400846C     1   0.000      0.832 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1   0.913      0.736 0.672 0.328
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2   0.000      1.000 0.000 1.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     1   0.000      0.832 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1   0.000      0.832 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1   0.913      0.736 0.672 0.328
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1   0.913      0.736 0.672 0.328
#> B18217F7-303C-4104-848E-A354DADE72BF     1   0.000      0.832 1.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1   0.000      0.832 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1   0.833      0.768 0.736 0.264
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1   0.913      0.736 0.672 0.328
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2   0.000      1.000 0.000 1.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2   0.000      1.000 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1   0.913      0.736 0.672 0.328
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2   0.000      1.000 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2   0.000      1.000 0.000 1.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1   0.913      0.736 0.672 0.328
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2   0.000      1.000 0.000 1.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1   0.000      0.832 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2   0.000      1.000 0.000 1.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2   0.000      1.000 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     1   0.000      0.832 1.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1   0.000      0.832 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2   0.000      1.000 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2   0.000      1.000 0.000 1.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2   0.000      1.000 0.000 1.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1   0.000      0.832 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2   0.000      1.000 0.000 1.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2   0.000      1.000 0.000 1.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2   0.000      1.000 0.000 1.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2   0.000      1.000 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2   0.000      1.000 0.000 1.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2   0.000      1.000 0.000 1.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1   0.000      0.832 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2   0.000      1.000 0.000 1.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2   0.000      1.000 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2   0.000      1.000 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1   0.000      0.832 1.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1   0.000      0.832 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2   0.000      1.000 0.000 1.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     1   0.000      0.832 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1   0.000      0.832 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1    p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.5138      1.000 0.748 0.000 0.252
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.1289      0.925 0.032 0.968 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      1.000 0.000 0.000 1.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.5138      1.000 0.748 0.000 0.252
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.5138      1.000 0.748 0.000 0.252
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.1860      0.923 0.052 0.948 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      1.000 0.000 0.000 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.4555      0.887 0.200 0.800 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000      1.000 0.000 0.000 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.5138      1.000 0.748 0.000 0.252
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000      1.000 0.000 0.000 1.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      1.000 0.000 0.000 1.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0424      0.925 0.008 0.992 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.5138      1.000 0.748 0.000 0.252
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.2796      0.916 0.092 0.908 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.5138      1.000 0.748 0.000 0.252
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.5138      1.000 0.748 0.000 0.252
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.2796      0.916 0.092 0.908 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.1163      0.925 0.028 0.972 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.1860      0.923 0.052 0.948 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.3038      0.915 0.104 0.896 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.1860      0.923 0.052 0.948 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.3116      0.914 0.108 0.892 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.4555      0.887 0.200 0.800 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.1860      0.923 0.052 0.948 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.5138      1.000 0.748 0.000 0.252
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      1.000 0.000 0.000 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.1860      0.923 0.052 0.948 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.5138      1.000 0.748 0.000 0.252
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.1860      0.923 0.052 0.948 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      1.000 0.000 0.000 1.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0000      1.000 0.000 0.000 1.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.4555      0.887 0.200 0.800 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      1.000 0.000 0.000 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0000      1.000 0.000 0.000 1.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.5138      1.000 0.748 0.000 0.252
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      1.000 0.000 0.000 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.1860      0.923 0.052 0.948 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.4555      0.887 0.200 0.800 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.3038      0.915 0.104 0.896 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.5138      1.000 0.748 0.000 0.252
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      1.000 0.000 0.000 1.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.5058      0.892 0.244 0.756 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.5138      1.000 0.748 0.000 0.252
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.4555      0.887 0.200 0.800 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      1.000 0.000 0.000 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      1.000 0.000 0.000 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.5138      1.000 0.748 0.000 0.252
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.1411      0.925 0.036 0.964 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.4555      0.887 0.200 0.800 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      1.000 0.000 0.000 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.1860      0.923 0.052 0.948 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.1860      0.923 0.052 0.948 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.5138      1.000 0.748 0.000 0.252
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.2796      0.916 0.092 0.908 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.3192      0.913 0.112 0.888 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000      1.000 0.000 0.000 1.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.1753      0.923 0.048 0.952 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.1964      0.925 0.056 0.944 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.1860      0.923 0.052 0.948 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.5138      1.000 0.748 0.000 0.252
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.3412      0.914 0.124 0.876 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.5138      1.000 0.748 0.000 0.252
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.3941      0.906 0.156 0.844 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.5138      1.000 0.748 0.000 0.252
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.2959      0.915 0.100 0.900 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.4504      0.888 0.196 0.804 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.1860      0.923 0.052 0.948 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      1.000 0.000 0.000 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      1.000 0.000 0.000 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.5138      1.000 0.748 0.000 0.252
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.5138      1.000 0.748 0.000 0.252
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.5138      1.000 0.748 0.000 0.252
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.4555      0.887 0.200 0.800 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      1.000 0.000 0.000 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      1.000 0.000 0.000 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.1860      0.923 0.052 0.948 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.1860      0.923 0.052 0.948 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.5138      1.000 0.748 0.000 0.252
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      1.000 0.000 0.000 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.1860      0.923 0.052 0.948 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.5138      1.000 0.748 0.000 0.252
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.1860      0.923 0.052 0.948 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000      1.000 0.000 0.000 1.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.5138      1.000 0.748 0.000 0.252
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.5138      1.000 0.748 0.000 0.252
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.4555      0.887 0.200 0.800 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.1860      0.923 0.052 0.948 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.4452      0.890 0.192 0.808 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.5138      1.000 0.748 0.000 0.252
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.4452      0.890 0.192 0.808 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      1.000 0.000 0.000 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.2711      0.917 0.088 0.912 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.1860      0.923 0.052 0.948 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.4555      0.887 0.200 0.800 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.5138      1.000 0.748 0.000 0.252
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.5138      1.000 0.748 0.000 0.252
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      1.000 0.000 0.000 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.1860      0.923 0.052 0.948 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.5138      1.000 0.748 0.000 0.252
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.4452      0.890 0.192 0.808 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.5138      1.000 0.748 0.000 0.252
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.3038      0.915 0.104 0.896 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.5138      1.000 0.748 0.000 0.252
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.5138      1.000 0.748 0.000 0.252
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.2448      0.921 0.076 0.924 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.5138      1.000 0.748 0.000 0.252
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0747      0.925 0.016 0.984 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.5138      1.000 0.748 0.000 0.252
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000      1.000 0.000 0.000 1.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.1860      0.923 0.052 0.948 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.1860      0.923 0.052 0.948 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.5138      1.000 0.748 0.000 0.252
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.1163      0.925 0.028 0.972 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      1.000 0.000 0.000 1.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.5138      1.000 0.748 0.000 0.252
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.1529      0.925 0.040 0.960 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      1.000 0.000 0.000 1.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      1.000 0.000 0.000 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.5138      1.000 0.748 0.000 0.252
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.5138      1.000 0.748 0.000 0.252
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0000      1.000 0.000 0.000 1.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      1.000 0.000 0.000 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.5138      1.000 0.748 0.000 0.252
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.5138      1.000 0.748 0.000 0.252
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.1163      0.925 0.028 0.972 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.4555      0.887 0.200 0.800 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.5138      1.000 0.748 0.000 0.252
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.4555      0.887 0.200 0.800 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.4452      0.890 0.192 0.808 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.5138      1.000 0.748 0.000 0.252
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.1860      0.923 0.052 0.948 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      1.000 0.000 0.000 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.1860      0.923 0.052 0.948 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.4555      0.887 0.200 0.800 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.0000      1.000 0.000 0.000 1.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000      1.000 0.000 0.000 1.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.3941      0.906 0.156 0.844 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.1163      0.925 0.028 0.972 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.1860      0.923 0.052 0.948 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      1.000 0.000 0.000 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.1860      0.923 0.052 0.948 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.1753      0.923 0.048 0.952 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0424      0.925 0.008 0.992 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.4555      0.887 0.200 0.800 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.1860      0.923 0.052 0.948 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.1860      0.923 0.052 0.948 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      1.000 0.000 0.000 1.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.1031      0.925 0.024 0.976 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.4178      0.906 0.172 0.828 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.4555      0.887 0.200 0.800 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.5138      1.000 0.748 0.000 0.252
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      1.000 0.000 0.000 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.1860      0.923 0.052 0.948 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      1.000 0.000 0.000 1.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      1.000 0.000 0.000 1.000

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0469     0.9561 0.988 0.000 0.000 0.012
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0336     0.2653 0.000 0.992 0.000 0.008
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.5522     0.9099 0.120 0.000 0.732 0.148
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9581 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.2345     0.9358 0.900 0.000 0.000 0.100
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.4697     0.3353 0.000 0.696 0.008 0.296
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.2647     0.9303 0.120 0.000 0.880 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.6690    -0.3773 0.000 0.548 0.100 0.352
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.5902     0.9012 0.120 0.000 0.696 0.184
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.2216     0.9389 0.908 0.000 0.000 0.092
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.6118     0.8923 0.120 0.000 0.672 0.208
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.5380     0.9118 0.120 0.000 0.744 0.136
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.2530     0.2943 0.000 0.888 0.000 0.112
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9581 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.2408     0.1899 0.000 0.896 0.000 0.104
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.2011     0.9428 0.920 0.000 0.000 0.080
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.2216     0.9385 0.908 0.000 0.000 0.092
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.2469     0.1852 0.000 0.892 0.000 0.108
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000     0.2694 0.000 1.000 0.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.5085     0.3340 0.000 0.676 0.020 0.304
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.2469     0.1852 0.000 0.892 0.000 0.108
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.5085     0.3340 0.000 0.676 0.020 0.304
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.2647     0.1639 0.000 0.880 0.000 0.120
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.5326    -0.2687 0.000 0.604 0.016 0.380
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.4746     0.3354 0.000 0.688 0.008 0.304
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.2589     0.9250 0.884 0.000 0.000 0.116
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.2647     0.9303 0.120 0.000 0.880 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.5062     0.3353 0.000 0.680 0.020 0.300
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0188     0.9578 0.996 0.000 0.000 0.004
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.4746     0.3354 0.000 0.688 0.008 0.304
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.2831     0.9301 0.120 0.000 0.876 0.004
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.6338     0.8782 0.120 0.000 0.644 0.236
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.5523    -0.2789 0.000 0.596 0.024 0.380
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.2647     0.9303 0.120 0.000 0.880 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.6278     0.8828 0.120 0.000 0.652 0.228
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9581 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.2647     0.9303 0.120 0.000 0.880 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.5085     0.3340 0.000 0.676 0.020 0.304
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.5936    -0.3071 0.000 0.576 0.044 0.380
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.2654     0.1810 0.000 0.888 0.004 0.108
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9581 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.5380     0.9118 0.120 0.000 0.744 0.136
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.6696     0.5934 0.000 0.428 0.088 0.484
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.2216     0.9385 0.908 0.000 0.000 0.092
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.6477    -0.3543 0.000 0.552 0.080 0.368
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.2647     0.9303 0.120 0.000 0.880 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.5902     0.9012 0.120 0.000 0.696 0.184
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9581 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0336     0.2636 0.000 0.992 0.000 0.008
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.6690    -0.3773 0.000 0.548 0.100 0.352
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.2647     0.9303 0.120 0.000 0.880 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.4722     0.3351 0.000 0.692 0.008 0.300
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.5085     0.3340 0.000 0.676 0.020 0.304
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0188     0.9578 0.996 0.000 0.000 0.004
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.2469     0.1852 0.000 0.892 0.000 0.108
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.2704     0.1559 0.000 0.876 0.000 0.124
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.5010     0.8793 0.120 0.000 0.772 0.108
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.4539     0.3206 0.000 0.720 0.008 0.272
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.2081     0.1606 0.000 0.916 0.000 0.084
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.5085     0.3340 0.000 0.676 0.020 0.304
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9581 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.6426    -0.2660 0.000 0.568 0.080 0.352
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0188     0.9578 0.996 0.000 0.000 0.004
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.6755     0.7819 0.000 0.448 0.092 0.460
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000     0.9581 1.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.2888     0.1707 0.000 0.872 0.004 0.124
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.5112    -0.2718 0.000 0.608 0.008 0.384
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.4820     0.3365 0.000 0.692 0.012 0.296
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.2647     0.9303 0.120 0.000 0.880 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.2647     0.9303 0.120 0.000 0.880 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9581 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.2216     0.9389 0.908 0.000 0.000 0.092
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0188     0.9578 0.996 0.000 0.000 0.004
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.5125    -0.2750 0.000 0.604 0.008 0.388
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.2647     0.9303 0.120 0.000 0.880 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.2647     0.9303 0.120 0.000 0.880 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.5085     0.3340 0.000 0.676 0.020 0.304
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.5062     0.3353 0.000 0.680 0.020 0.300
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0469     0.9561 0.988 0.000 0.000 0.012
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.2647     0.9303 0.120 0.000 0.880 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.5085     0.3340 0.000 0.676 0.020 0.304
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.4730     0.6337 0.636 0.000 0.000 0.364
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.3975     0.3193 0.000 0.760 0.000 0.240
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.3638     0.9280 0.120 0.000 0.848 0.032
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.2216     0.9385 0.908 0.000 0.000 0.092
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.2216     0.9389 0.908 0.000 0.000 0.092
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.6690    -0.3773 0.000 0.548 0.100 0.352
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.4746     0.3354 0.000 0.688 0.008 0.304
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.4632    -0.2055 0.000 0.688 0.004 0.308
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.2216     0.9385 0.908 0.000 0.000 0.092
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.4877    -0.2190 0.000 0.664 0.008 0.328
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.2647     0.9303 0.120 0.000 0.880 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.2081     0.2069 0.000 0.916 0.000 0.084
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.5062     0.3353 0.000 0.680 0.020 0.300
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.6690    -0.3773 0.000 0.548 0.100 0.352
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9581 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0188     0.9578 0.996 0.000 0.000 0.004
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.2647     0.9303 0.120 0.000 0.880 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.4697     0.3353 0.000 0.696 0.008 0.296
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.2081     0.9416 0.916 0.000 0.000 0.084
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.4877    -0.2190 0.000 0.664 0.008 0.328
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.1940     0.9448 0.924 0.000 0.000 0.076
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.2469     0.1852 0.000 0.892 0.000 0.108
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.3266     0.8201 0.832 0.000 0.000 0.168
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9581 1.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.6483     0.0767 0.000 0.592 0.096 0.312
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9581 1.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.2469     0.2931 0.000 0.892 0.000 0.108
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0188     0.9578 0.996 0.000 0.000 0.004
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.2647     0.9303 0.120 0.000 0.880 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.4746     0.3354 0.000 0.688 0.008 0.304
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.4914     0.3328 0.000 0.676 0.012 0.312
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9581 1.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000     0.2694 0.000 1.000 0.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.2647     0.9303 0.120 0.000 0.880 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9581 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0336     0.2636 0.000 0.992 0.000 0.008
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.3638     0.9280 0.120 0.000 0.848 0.032
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.5940     0.8999 0.120 0.000 0.692 0.188
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9581 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.1867     0.9451 0.928 0.000 0.000 0.072
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.6338     0.8782 0.120 0.000 0.644 0.236
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.2647     0.9303 0.120 0.000 0.880 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0469     0.9561 0.988 0.000 0.000 0.012
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.1637     0.9482 0.940 0.000 0.000 0.060
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0469     0.2685 0.000 0.988 0.000 0.012
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.5326    -0.2687 0.000 0.604 0.016 0.380
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.1792     0.9462 0.932 0.000 0.000 0.068
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.6574    -0.3918 0.000 0.548 0.088 0.364
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.5069    -0.2171 0.000 0.664 0.016 0.320
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0188     0.9578 0.996 0.000 0.000 0.004
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.4697     0.3353 0.000 0.696 0.008 0.296
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.5902     0.9012 0.120 0.000 0.696 0.184
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.4820     0.3365 0.000 0.692 0.012 0.296
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.5936    -0.3071 0.000 0.576 0.044 0.380
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.6495     0.8603 0.124 0.000 0.624 0.252
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.6184     0.8888 0.120 0.000 0.664 0.216
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.6658     0.7932 0.000 0.444 0.084 0.472
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0188     0.2677 0.000 0.996 0.000 0.004
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.5085     0.3340 0.000 0.676 0.020 0.304
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.3105     0.9300 0.120 0.000 0.868 0.012
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.5085     0.3340 0.000 0.676 0.020 0.304
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.4621     0.3352 0.000 0.708 0.008 0.284
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.2868     0.2979 0.000 0.864 0.000 0.136
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.5326    -0.2687 0.000 0.604 0.016 0.380
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.5085     0.3340 0.000 0.676 0.020 0.304
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.5062     0.3353 0.000 0.680 0.020 0.300
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.5902     0.9012 0.120 0.000 0.696 0.184
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0469     0.2702 0.000 0.988 0.000 0.012
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.6653     0.7980 0.000 0.436 0.084 0.480
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.5326    -0.2687 0.000 0.604 0.016 0.380
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.2814     0.9134 0.868 0.000 0.000 0.132
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.5522     0.9099 0.120 0.000 0.732 0.148
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.5085     0.3340 0.000 0.676 0.020 0.304
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.3542     0.9283 0.120 0.000 0.852 0.028
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.6118     0.8923 0.120 0.000 0.672 0.208

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.1251    0.87640 0.956 0.000 0.000 0.008 0.036
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.6605   -0.00037 0.000 0.452 0.000 0.236 0.312
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.5878    0.41466 0.068 0.000 0.688 0.092 0.152
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0451    0.88089 0.988 0.000 0.000 0.008 0.004
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.4298    0.68671 0.640 0.000 0.000 0.008 0.352
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.2654    0.69401 0.000 0.884 0.032 0.000 0.084
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.2728    0.63190 0.068 0.000 0.888 0.004 0.040
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.4826    0.65335 0.000 0.152 0.032 0.756 0.060
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.6536    0.18368 0.068 0.000 0.584 0.080 0.268
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.3942    0.77418 0.728 0.000 0.000 0.012 0.260
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.6833    0.12212 0.068 0.000 0.568 0.116 0.248
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.5533    0.45412 0.068 0.000 0.720 0.084 0.128
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.5888    0.31273 0.000 0.560 0.000 0.124 0.316
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0162    0.88192 0.996 0.000 0.000 0.004 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     4  0.6802    0.43742 0.000 0.328 0.000 0.372 0.300
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.3690    0.79567 0.764 0.000 0.000 0.012 0.224
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.3196    0.82466 0.804 0.000 0.000 0.004 0.192
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     4  0.6802    0.43742 0.000 0.328 0.000 0.372 0.300
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.6497    0.08010 0.000 0.476 0.000 0.212 0.312
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0290    0.70794 0.000 0.992 0.000 0.000 0.008
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     4  0.6779    0.47755 0.000 0.308 0.000 0.392 0.300
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000    0.70808 0.000 1.000 0.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     4  0.6779    0.47812 0.000 0.308 0.000 0.392 0.300
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.4559    0.72215 0.000 0.152 0.000 0.748 0.100
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.2209    0.70071 0.000 0.912 0.032 0.000 0.056
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.4151    0.70081 0.652 0.000 0.000 0.004 0.344
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.2102    0.64809 0.068 0.000 0.916 0.012 0.004
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0510    0.70771 0.000 0.984 0.000 0.000 0.016
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0290    0.88222 0.992 0.000 0.000 0.008 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.2278    0.69822 0.000 0.908 0.032 0.000 0.060
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.3354    0.59911 0.068 0.000 0.844 0.000 0.088
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.7222   -0.58012 0.068 0.000 0.436 0.116 0.380
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.3794    0.71096 0.000 0.152 0.000 0.800 0.048
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.1544    0.64770 0.068 0.000 0.932 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.7204   -0.51587 0.068 0.000 0.452 0.116 0.364
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0290    0.88160 0.992 0.000 0.000 0.008 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.2484    0.64010 0.068 0.000 0.900 0.004 0.028
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000    0.70808 0.000 1.000 0.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.2648    0.69349 0.000 0.152 0.000 0.848 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     4  0.6695    0.51047 0.000 0.308 0.000 0.428 0.264
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0451    0.88089 0.988 0.000 0.000 0.008 0.004
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.5533    0.45412 0.068 0.000 0.720 0.084 0.128
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.6876    0.44708 0.000 0.248 0.060 0.560 0.132
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.3715    0.77964 0.736 0.000 0.000 0.004 0.260
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.3412    0.68022 0.000 0.152 0.000 0.820 0.028
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.1544    0.64770 0.068 0.000 0.932 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.6530    0.21993 0.068 0.000 0.596 0.088 0.248
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0451    0.88089 0.988 0.000 0.000 0.008 0.004
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.6732    0.01728 0.000 0.448 0.004 0.228 0.320
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.4826    0.65335 0.000 0.152 0.032 0.756 0.060
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.1942    0.64763 0.068 0.000 0.920 0.012 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.2654    0.69401 0.000 0.884 0.032 0.000 0.084
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000    0.70808 0.000 1.000 0.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0579    0.88191 0.984 0.000 0.000 0.008 0.008
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     4  0.6802    0.43742 0.000 0.328 0.000 0.372 0.300
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     4  0.6758    0.49673 0.000 0.296 0.000 0.404 0.300
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.5418   -0.36384 0.068 0.000 0.568 0.000 0.364
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.3441    0.67865 0.000 0.852 0.036 0.020 0.092
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.7280   -0.10135 0.000 0.448 0.036 0.300 0.216
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000    0.70808 0.000 1.000 0.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0566    0.88091 0.984 0.000 0.000 0.012 0.004
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.6315    0.40949 0.000 0.636 0.060 0.196 0.108
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0290    0.88222 0.992 0.000 0.000 0.008 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.6792    0.12992 0.000 0.516 0.048 0.328 0.108
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0290    0.88316 0.992 0.000 0.000 0.000 0.008
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     4  0.7069    0.50031 0.000 0.340 0.032 0.456 0.172
#> 1339CB34-B996-470A-9710-0649DD05D18A     4  0.6106    0.70330 0.000 0.152 0.032 0.644 0.172
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.2929    0.63762 0.000 0.820 0.000 0.000 0.180
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.1942    0.64763 0.068 0.000 0.920 0.012 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.2484    0.64010 0.068 0.000 0.900 0.004 0.028
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0162    0.88192 0.996 0.000 0.000 0.004 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.3942    0.77418 0.728 0.000 0.000 0.012 0.260
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0290    0.88225 0.992 0.000 0.000 0.008 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.6106    0.70330 0.000 0.152 0.032 0.644 0.172
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.1544    0.64770 0.068 0.000 0.932 0.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.1544    0.64770 0.068 0.000 0.932 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0404    0.70784 0.000 0.988 0.000 0.000 0.012
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0510    0.70771 0.000 0.984 0.000 0.000 0.016
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.1124    0.87770 0.960 0.000 0.000 0.004 0.036
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.2102    0.64809 0.068 0.000 0.916 0.012 0.004
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000    0.70808 0.000 1.000 0.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.6557    0.36187 0.440 0.000 0.000 0.208 0.352
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.5145    0.49488 0.000 0.640 0.024 0.024 0.312
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.3924    0.57259 0.068 0.000 0.808 0.004 0.120
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.3766    0.77469 0.728 0.000 0.000 0.004 0.268
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.3942    0.77418 0.728 0.000 0.000 0.012 0.260
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.4697    0.65850 0.000 0.152 0.032 0.764 0.052
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.2344    0.69764 0.000 0.904 0.032 0.000 0.064
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     4  0.6585    0.66671 0.000 0.216 0.032 0.580 0.172
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.3579    0.79690 0.756 0.000 0.000 0.004 0.240
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     4  0.5772    0.70989 0.000 0.184 0.020 0.664 0.132
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.1544    0.64770 0.068 0.000 0.932 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     4  0.6814    0.38674 0.000 0.344 0.000 0.352 0.304
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.1410    0.69633 0.000 0.940 0.000 0.000 0.060
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.4826    0.65335 0.000 0.152 0.032 0.756 0.060
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000    0.88225 1.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0451    0.88190 0.988 0.000 0.000 0.008 0.004
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.2102    0.64809 0.068 0.000 0.916 0.012 0.004
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.2769    0.69107 0.000 0.876 0.032 0.000 0.092
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.3779    0.78870 0.752 0.000 0.000 0.012 0.236
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     4  0.5641    0.71216 0.000 0.184 0.016 0.672 0.128
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.2389    0.85819 0.880 0.000 0.000 0.004 0.116
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     4  0.6790    0.46339 0.000 0.316 0.000 0.384 0.300
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.4550    0.61225 0.688 0.000 0.000 0.036 0.276
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0324    0.88281 0.992 0.000 0.000 0.004 0.004
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.4137    0.58498 0.000 0.816 0.032 0.088 0.064
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0566    0.88091 0.984 0.000 0.000 0.012 0.004
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.5967    0.29468 0.000 0.556 0.000 0.136 0.308
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0290    0.88222 0.992 0.000 0.000 0.008 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.2927    0.61796 0.068 0.000 0.872 0.000 0.060
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.2473    0.69686 0.000 0.896 0.032 0.000 0.072
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0807    0.70790 0.000 0.976 0.012 0.000 0.012
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0566    0.88091 0.984 0.000 0.000 0.012 0.004
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.6536    0.05875 0.000 0.468 0.000 0.220 0.312
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.1830    0.64366 0.068 0.000 0.924 0.000 0.008
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0451    0.88089 0.988 0.000 0.000 0.008 0.004
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.6732    0.01728 0.000 0.448 0.004 0.228 0.320
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.3827    0.57946 0.068 0.000 0.816 0.004 0.112
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.6690    0.22906 0.068 0.000 0.596 0.120 0.216
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0162    0.88192 0.996 0.000 0.000 0.004 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.2723    0.84907 0.864 0.000 0.000 0.012 0.124
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.7228   -0.60342 0.068 0.000 0.428 0.116 0.388
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.2102    0.64809 0.068 0.000 0.916 0.012 0.004
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.1281    0.87665 0.956 0.000 0.000 0.012 0.032
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.2248    0.86228 0.900 0.000 0.000 0.012 0.088
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.6972    0.11968 0.000 0.472 0.024 0.188 0.316
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.4559    0.72215 0.000 0.152 0.000 0.748 0.100
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.2624    0.85229 0.872 0.000 0.000 0.012 0.116
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.5925    0.63685 0.000 0.160 0.048 0.676 0.116
#> 16A70057-AF47-4934-992E-3E9CF6E74684     4  0.5404    0.70530 0.000 0.184 0.000 0.664 0.152
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0290    0.88222 0.992 0.000 0.000 0.008 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.3229    0.67986 0.000 0.840 0.032 0.000 0.128
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.6640    0.23846 0.068 0.000 0.596 0.108 0.228
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.2773    0.64597 0.000 0.836 0.000 0.000 0.164
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.2648    0.69349 0.000 0.152 0.000 0.848 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     5  0.6282    0.00000 0.072 0.000 0.388 0.032 0.508
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.6892    0.05936 0.068 0.000 0.556 0.116 0.260
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.7070    0.11959 0.000 0.492 0.060 0.328 0.120
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.6554    0.04521 0.000 0.464 0.000 0.224 0.312
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000    0.70808 0.000 1.000 0.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.3151    0.62498 0.068 0.000 0.864 0.004 0.064
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0404    0.70784 0.000 0.988 0.000 0.000 0.012
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.3521    0.67235 0.000 0.824 0.024 0.008 0.144
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.5811    0.32950 0.000 0.568 0.000 0.116 0.316
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.4559    0.72215 0.000 0.152 0.000 0.748 0.100
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0404    0.70784 0.000 0.988 0.000 0.000 0.012
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0510    0.70771 0.000 0.984 0.000 0.000 0.016
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.6591    0.25077 0.068 0.000 0.604 0.108 0.220
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.6447    0.11175 0.000 0.472 0.000 0.192 0.336
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.7161    0.02533 0.000 0.460 0.060 0.356 0.124
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     4  0.4559    0.72215 0.000 0.152 0.000 0.748 0.100
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.4235    0.58691 0.576 0.000 0.000 0.000 0.424
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.5827    0.41807 0.068 0.000 0.692 0.088 0.152
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0404    0.70784 0.000 0.988 0.000 0.000 0.012
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.3675    0.58568 0.068 0.000 0.828 0.004 0.100
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.6802    0.18065 0.068 0.000 0.580 0.124 0.228

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.2266    0.81700 0.908 0.000 0.000 0.028 0.024 0.040
#> 11C93F5A-2187-484A-805D-BB696C1B9032     5  0.3802    0.54393 0.000 0.312 0.000 0.000 0.676 0.012
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.4618    0.08129 0.024 0.000 0.640 0.016 0.004 0.316
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.1275    0.82564 0.956 0.000 0.000 0.016 0.012 0.016
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.5890    0.54364 0.448 0.000 0.000 0.372 0.004 0.176
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.4026    0.71175 0.000 0.780 0.000 0.040 0.036 0.144
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.2969    0.68414 0.024 0.000 0.876 0.052 0.036 0.012
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.5939    0.60734 0.000 0.084 0.000 0.484 0.388 0.044
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.5818   -0.42077 0.024 0.000 0.460 0.048 0.024 0.444
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.5320    0.67217 0.576 0.000 0.000 0.280 0.000 0.144
#> 12078907-435A-46C9-96C1-24E71BF4602D     6  0.4715    0.68033 0.024 0.000 0.372 0.004 0.012 0.588
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.4418    0.21363 0.024 0.000 0.684 0.016 0.004 0.272
#> 1709294C-7194-493D-AF5C-574927F57C0C     5  0.4217    0.21347 0.000 0.464 0.000 0.004 0.524 0.008
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0291    0.82984 0.992 0.000 0.000 0.000 0.004 0.004
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     5  0.2762    0.55998 0.000 0.196 0.000 0.000 0.804 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.5011    0.69443 0.620 0.000 0.000 0.264 0.000 0.116
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.5358    0.70680 0.624 0.000 0.000 0.236 0.016 0.124
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     5  0.2762    0.55998 0.000 0.196 0.000 0.000 0.804 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     5  0.3847    0.50133 0.000 0.348 0.000 0.000 0.644 0.008
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0520    0.77087 0.000 0.984 0.008 0.000 0.008 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     5  0.2738    0.55187 0.000 0.176 0.000 0.000 0.820 0.004
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0260    0.77137 0.000 0.992 0.000 0.000 0.008 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     5  0.2562    0.54693 0.000 0.172 0.000 0.000 0.828 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     5  0.5049   -0.03127 0.000 0.084 0.008 0.292 0.616 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.3795    0.72192 0.000 0.796 0.000 0.024 0.044 0.136
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.6313    0.56247 0.468 0.000 0.000 0.304 0.024 0.204
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.1490    0.69574 0.024 0.000 0.948 0.016 0.004 0.008
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0810    0.76945 0.000 0.976 0.008 0.004 0.008 0.004
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000    0.83043 1.000 0.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.3726    0.72029 0.000 0.796 0.000 0.040 0.020 0.144
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.4121    0.63984 0.024 0.000 0.804 0.096 0.036 0.040
#> E6F801F4-9289-4623-B7D9-60CA56C71683     6  0.4245    0.72166 0.024 0.000 0.256 0.004 0.012 0.704
#> B644962A-DEFE-4169-A39E-EF2141F5125A     5  0.5217   -0.17755 0.000 0.084 0.008 0.340 0.568 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.1518    0.70177 0.024 0.000 0.944 0.008 0.024 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     6  0.4372    0.73072 0.024 0.000 0.280 0.004 0.012 0.680
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0508    0.82918 0.984 0.000 0.000 0.000 0.004 0.012
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.2905    0.68605 0.024 0.000 0.880 0.048 0.036 0.012
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0260    0.77137 0.000 0.992 0.000 0.000 0.008 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     5  0.5370   -0.44295 0.000 0.084 0.008 0.428 0.480 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     5  0.4078    0.52026 0.000 0.180 0.000 0.068 0.748 0.004
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.1173    0.82596 0.960 0.000 0.000 0.016 0.008 0.016
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.4418    0.21363 0.024 0.000 0.684 0.016 0.004 0.272
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.7433    0.43153 0.000 0.140 0.008 0.396 0.300 0.156
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.5727    0.67291 0.576 0.000 0.000 0.240 0.016 0.168
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.5370    0.48548 0.000 0.084 0.008 0.480 0.428 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0777    0.70301 0.024 0.000 0.972 0.000 0.004 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.5532   -0.41685 0.024 0.000 0.472 0.032 0.020 0.452
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.1173    0.82596 0.960 0.000 0.000 0.016 0.008 0.016
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     5  0.4060    0.50669 0.000 0.340 0.000 0.008 0.644 0.008
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.6068    0.60770 0.000 0.084 0.004 0.480 0.388 0.044
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.1088    0.69952 0.024 0.000 0.960 0.016 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.4026    0.71175 0.000 0.780 0.000 0.040 0.036 0.144
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0520    0.77087 0.000 0.984 0.008 0.000 0.008 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0146    0.83070 0.996 0.000 0.000 0.004 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     5  0.2762    0.55998 0.000 0.196 0.000 0.000 0.804 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     5  0.2527    0.54365 0.000 0.168 0.000 0.000 0.832 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.6887   -0.07712 0.024 0.000 0.424 0.320 0.024 0.208
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.4712    0.66181 0.000 0.732 0.000 0.040 0.084 0.144
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     5  0.7176    0.29222 0.000 0.352 0.000 0.136 0.368 0.144
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000    0.77102 0.000 1.000 0.000 0.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.1275    0.82564 0.956 0.000 0.000 0.016 0.012 0.016
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.7351    0.22614 0.000 0.436 0.008 0.256 0.136 0.164
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000    0.83043 1.000 0.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.7054    0.06142 0.000 0.456 0.008 0.280 0.172 0.084
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0291    0.83101 0.992 0.000 0.000 0.004 0.000 0.004
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     5  0.7083    0.29474 0.000 0.212 0.000 0.176 0.468 0.144
#> 1339CB34-B996-470A-9710-0649DD05D18A     5  0.6422    0.04048 0.000 0.096 0.000 0.200 0.560 0.144
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.3764    0.46335 0.000 0.700 0.004 0.004 0.288 0.004
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.1232    0.69882 0.024 0.000 0.956 0.016 0.004 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.2905    0.68605 0.024 0.000 0.880 0.048 0.036 0.012
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0405    0.82939 0.988 0.000 0.000 0.000 0.004 0.008
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.5320    0.67217 0.576 0.000 0.000 0.280 0.000 0.144
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0405    0.82939 0.988 0.000 0.000 0.000 0.004 0.008
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     5  0.6382    0.02527 0.000 0.092 0.000 0.200 0.564 0.144
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0777    0.70301 0.024 0.000 0.972 0.000 0.004 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.1138    0.70322 0.024 0.000 0.960 0.004 0.012 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0810    0.76945 0.000 0.976 0.008 0.004 0.008 0.004
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0810    0.76945 0.000 0.976 0.008 0.004 0.008 0.004
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.1780    0.81981 0.932 0.000 0.000 0.028 0.012 0.028
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.1490    0.69574 0.024 0.000 0.948 0.016 0.004 0.008
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000    0.77102 0.000 1.000 0.000 0.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     4  0.5907   -0.39608 0.292 0.000 0.000 0.520 0.012 0.176
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.6048    0.09839 0.000 0.484 0.000 0.032 0.364 0.120
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.4715    0.60473 0.024 0.000 0.764 0.096 0.040 0.076
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.5699    0.67495 0.580 0.000 0.000 0.240 0.016 0.164
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.5320    0.67217 0.576 0.000 0.000 0.280 0.000 0.144
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.6120    0.60671 0.000 0.084 0.004 0.476 0.388 0.048
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.3739    0.71927 0.000 0.796 0.000 0.036 0.024 0.144
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     5  0.6682    0.15039 0.000 0.140 0.000 0.180 0.536 0.144
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.5678    0.68560 0.592 0.000 0.000 0.232 0.020 0.156
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     5  0.5902    0.15008 0.000 0.112 0.000 0.228 0.600 0.060
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0777    0.70301 0.024 0.000 0.972 0.000 0.004 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     5  0.3073    0.56123 0.000 0.204 0.000 0.000 0.788 0.008
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.1338    0.75450 0.000 0.952 0.008 0.004 0.032 0.004
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.5939    0.60734 0.000 0.084 0.000 0.484 0.388 0.044
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000    0.83043 1.000 0.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000    0.83043 1.000 0.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.1232    0.69882 0.024 0.000 0.956 0.016 0.004 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.4215    0.69977 0.000 0.768 0.000 0.036 0.052 0.144
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.5084    0.69059 0.612 0.000 0.000 0.264 0.000 0.124
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     5  0.6083    0.12148 0.000 0.112 0.000 0.244 0.576 0.068
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.3656    0.78936 0.808 0.000 0.000 0.108 0.012 0.072
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     5  0.2631    0.55268 0.000 0.180 0.000 0.000 0.820 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.5588    0.48159 0.580 0.000 0.000 0.088 0.032 0.300
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0146    0.83070 0.996 0.000 0.000 0.004 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.5017    0.53627 0.000 0.700 0.008 0.196 0.044 0.052
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.1275    0.82564 0.956 0.000 0.000 0.016 0.012 0.016
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     5  0.4076    0.25692 0.000 0.452 0.000 0.000 0.540 0.008
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000    0.83043 1.000 0.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.3049    0.67323 0.024 0.000 0.868 0.072 0.016 0.020
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.4026    0.71175 0.000 0.780 0.000 0.040 0.036 0.144
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.1946    0.75684 0.000 0.912 0.000 0.012 0.004 0.072
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.1275    0.82564 0.956 0.000 0.000 0.016 0.012 0.016
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     5  0.3983    0.49750 0.000 0.348 0.000 0.004 0.640 0.008
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.2042    0.69725 0.024 0.000 0.920 0.032 0.024 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.1173    0.82596 0.960 0.000 0.000 0.016 0.008 0.016
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     5  0.4060    0.50669 0.000 0.340 0.000 0.008 0.644 0.008
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.4430    0.62425 0.024 0.000 0.784 0.096 0.036 0.060
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     6  0.4930    0.46015 0.024 0.000 0.472 0.016 0.004 0.484
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0291    0.82984 0.992 0.000 0.000 0.000 0.004 0.004
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.4339    0.73019 0.684 0.000 0.000 0.256 0.000 0.060
#> B18217F7-303C-4104-848E-A354DADE72BF     6  0.4245    0.72166 0.024 0.000 0.256 0.004 0.012 0.704
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.1490    0.69574 0.024 0.000 0.948 0.016 0.004 0.008
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.2486    0.81408 0.896 0.000 0.000 0.040 0.024 0.040
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.3190    0.78828 0.820 0.000 0.000 0.136 0.000 0.044
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     5  0.6081    0.35698 0.000 0.348 0.000 0.032 0.492 0.128
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     5  0.5049   -0.03127 0.000 0.084 0.008 0.292 0.616 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.4085    0.73984 0.704 0.000 0.000 0.252 0.000 0.044
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.6894    0.43621 0.000 0.096 0.000 0.420 0.340 0.144
#> 16A70057-AF47-4934-992E-3E9CF6E74684     5  0.4949    0.20722 0.000 0.112 0.008 0.216 0.664 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000    0.83043 1.000 0.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.4646    0.67369 0.000 0.736 0.000 0.036 0.084 0.144
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.5091   -0.40079 0.024 0.000 0.504 0.020 0.008 0.444
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.3412    0.56936 0.000 0.772 0.008 0.004 0.212 0.004
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     5  0.5370   -0.44295 0.000 0.084 0.008 0.428 0.480 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     6  0.7172    0.34882 0.032 0.000 0.248 0.272 0.032 0.416
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     6  0.4659    0.70365 0.024 0.000 0.352 0.004 0.012 0.608
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.7613    0.00396 0.000 0.368 0.008 0.288 0.176 0.160
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     5  0.3894    0.52958 0.000 0.324 0.000 0.004 0.664 0.008
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0146    0.77041 0.000 0.996 0.000 0.004 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.3777    0.66161 0.024 0.000 0.832 0.048 0.036 0.060
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0810    0.76945 0.000 0.976 0.008 0.004 0.008 0.004
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.4794    0.64264 0.000 0.716 0.000 0.024 0.136 0.124
#> 4022B5D9-8B67-45C3-867B-A72129500F86     5  0.4356    0.15463 0.000 0.480 0.004 0.004 0.504 0.008
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     5  0.5287   -0.04077 0.000 0.084 0.008 0.292 0.608 0.008
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0665    0.77002 0.000 0.980 0.008 0.004 0.008 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0810    0.76945 0.000 0.976 0.008 0.004 0.008 0.004
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.5169   -0.38217 0.024 0.000 0.512 0.020 0.012 0.432
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     5  0.4609    0.46544 0.000 0.352 0.000 0.024 0.608 0.016
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.7690   -0.07779 0.000 0.344 0.008 0.292 0.196 0.160
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     5  0.5049   -0.03127 0.000 0.084 0.008 0.292 0.616 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.6524    0.39288 0.364 0.000 0.000 0.336 0.020 0.280
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.4618    0.08129 0.024 0.000 0.640 0.016 0.004 0.316
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0665    0.77002 0.000 0.980 0.008 0.004 0.008 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.4464    0.61955 0.024 0.000 0.780 0.104 0.036 0.056
#> 5F1797CC-C35C-44D4-867B-9824FE037552     6  0.4891    0.60056 0.024 0.000 0.420 0.016 0.004 0.536

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-SD-kmeans-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-SD-kmeans-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-SD-kmeans-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-SD-kmeans-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-SD-kmeans-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-SD-kmeans-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-SD-kmeans-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-SD-kmeans-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-SD-kmeans-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-SD-kmeans-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-SD-kmeans-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-SD-kmeans-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-SD-kmeans-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-SD-kmeans-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-SD-kmeans-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-SD-kmeans-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-SD-kmeans-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-SD-kmeans-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-SD-kmeans-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-SD-kmeans-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk SD-kmeans-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-SD-kmeans-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-SD-kmeans-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-SD-kmeans-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-SD-kmeans-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-SD-kmeans-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk SD-kmeans-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


SD:skmeans**

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["SD", "skmeans"]
# you can also extract it by
# res = res_list["SD:skmeans"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#>   Subgroups are detected by 'skmeans' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 3.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk SD-skmeans-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk SD-skmeans-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 1.000           1.000       1.000         0.5034 0.497   0.497
#> 3 3 1.000           0.991       0.997         0.2616 0.868   0.735
#> 4 4 0.887           0.865       0.937         0.1813 0.874   0.659
#> 5 5 0.856           0.787       0.882         0.0494 0.945   0.789
#> 6 6 0.819           0.707       0.831         0.0388 0.962   0.829

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2

There is also optional best \(k\) = 2 that is worth to check.

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette p1 p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1       0          1  1  0
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2       0          1  0  1
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1       0          1  1  0
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1       0          1  1  0
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1       0          1  1  0
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2       0          1  0  1
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1       0          1  1  0
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2       0          1  0  1
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1       0          1  1  0
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1       0          1  1  0
#> 12078907-435A-46C9-96C1-24E71BF4602D     1       0          1  1  0
#> 8670C657-F6AB-4767-9278-42E64C614370     1       0          1  1  0
#> 1709294C-7194-493D-AF5C-574927F57C0C     2       0          1  0  1
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1       0          1  1  0
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2       0          1  0  1
#> ABB04648-2D62-4E34-9003-4458BF84318D     1       0          1  1  0
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1       0          1  1  0
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2       0          1  0  1
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2       0          1  0  1
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2       0          1  0  1
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2       0          1  0  1
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2       0          1  0  1
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2       0          1  0  1
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2       0          1  0  1
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2       0          1  0  1
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1       0          1  1  0
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1       0          1  1  0
#> 75565A38-EC23-4052-8D31-903C601F64D5     2       0          1  0  1
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1       0          1  1  0
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2       0          1  0  1
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1       0          1  1  0
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1       0          1  1  0
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2       0          1  0  1
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1       0          1  1  0
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1       0          1  1  0
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1       0          1  1  0
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1       0          1  1  0
#> 589ACA26-273D-491F-836B-A604BE63947B     2       0          1  0  1
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2       0          1  0  1
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2       0          1  0  1
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1       0          1  1  0
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1       0          1  1  0
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2       0          1  0  1
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1       0          1  1  0
#> C3087790-7575-4662-A7DC-B32808B9A775     2       0          1  0  1
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1       0          1  1  0
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1       0          1  1  0
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1       0          1  1  0
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2       0          1  0  1
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2       0          1  0  1
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1       0          1  1  0
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2       0          1  0  1
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2       0          1  0  1
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1       0          1  1  0
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2       0          1  0  1
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2       0          1  0  1
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1       0          1  1  0
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2       0          1  0  1
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2       0          1  0  1
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2       0          1  0  1
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1       0          1  1  0
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2       0          1  0  1
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1       0          1  1  0
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2       0          1  0  1
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1       0          1  1  0
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2       0          1  0  1
#> 1339CB34-B996-470A-9710-0649DD05D18A     2       0          1  0  1
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2       0          1  0  1
#> 7559E197-0527-40D8-A982-C37B35A9A902     1       0          1  1  0
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1       0          1  1  0
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1       0          1  1  0
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1       0          1  1  0
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1       0          1  1  0
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2       0          1  0  1
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1       0          1  1  0
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1       0          1  1  0
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2       0          1  0  1
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2       0          1  0  1
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1       0          1  1  0
#> E61A5740-7C26-4730-9610-A3C710098B92     1       0          1  1  0
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2       0          1  0  1
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1       0          1  1  0
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2       0          1  0  1
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1       0          1  1  0
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1       0          1  1  0
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1       0          1  1  0
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2       0          1  0  1
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2       0          1  0  1
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2       0          1  0  1
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1       0          1  1  0
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2       0          1  0  1
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1       0          1  1  0
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2       0          1  0  1
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2       0          1  0  1
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2       0          1  0  1
#> CF882451-7864-4A14-8893-D9F3D1B79379     1       0          1  1  0
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1       0          1  1  0
#> 10161FA0-E389-4D98-B854-098AF908C898     1       0          1  1  0
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2       0          1  0  1
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1       0          1  1  0
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2       0          1  0  1
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1       0          1  1  0
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2       0          1  0  1
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1       0          1  1  0
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1       0          1  1  0
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2       0          1  0  1
#> C06A7A87-28A2-4851-A743-583F729D07D3     1       0          1  1  0
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2       0          1  0  1
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1       0          1  1  0
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1       0          1  1  0
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2       0          1  0  1
#> 692A3312-2027-472B-A28C-C661A0539EB5     2       0          1  0  1
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1       0          1  1  0
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2       0          1  0  1
#> 86689648-2C4A-456F-A551-B9731400846C     1       0          1  1  0
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1       0          1  1  0
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2       0          1  0  1
#> BFB33809-F185-4835-8329-AE53FDEE847C     1       0          1  1  0
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1       0          1  1  0
#> 852F1EDF-6046-462C-820F-9782410E1845     1       0          1  1  0
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1       0          1  1  0
#> B18217F7-303C-4104-848E-A354DADE72BF     1       0          1  1  0
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1       0          1  1  0
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1       0          1  1  0
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1       0          1  1  0
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2       0          1  0  1
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2       0          1  0  1
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1       0          1  1  0
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2       0          1  0  1
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2       0          1  0  1
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1       0          1  1  0
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2       0          1  0  1
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1       0          1  1  0
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2       0          1  0  1
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2       0          1  0  1
#> 864194B9-3525-439D-84A4-EA257300335C     1       0          1  1  0
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1       0          1  1  0
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2       0          1  0  1
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2       0          1  0  1
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2       0          1  0  1
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1       0          1  1  0
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2       0          1  0  1
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2       0          1  0  1
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2       0          1  0  1
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2       0          1  0  1
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2       0          1  0  1
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2       0          1  0  1
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1       0          1  1  0
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2       0          1  0  1
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2       0          1  0  1
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2       0          1  0  1
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1       0          1  1  0
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1       0          1  1  0
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2       0          1  0  1
#> 6ED5E961-E559-4459-937E-D0F03650620F     1       0          1  1  0
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1       0          1  1  0

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1 p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      1.000 1.000  0 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      1.000 0.000  1 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      0.988 0.000  0 1.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      1.000 1.000  0 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     3  0.6286      0.137 0.464  0 0.536
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      1.000 0.000  1 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.988 0.000  0 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0000      1.000 0.000  1 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000      0.988 0.000  0 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000      1.000 1.000  0 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000      0.988 0.000  0 1.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      0.988 0.000  0 1.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      1.000 0.000  1 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      1.000 1.000  0 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      1.000 0.000  1 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      1.000 1.000  0 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      1.000 1.000  0 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      1.000 0.000  1 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      1.000 0.000  1 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      1.000 0.000  1 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      1.000 0.000  1 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      1.000 0.000  1 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      1.000 0.000  1 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      1.000 0.000  1 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      1.000 0.000  1 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     3  0.0424      0.981 0.008  0 0.992
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.988 0.000  0 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      1.000 0.000  1 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      1.000 1.000  0 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      1.000 0.000  1 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      0.988 0.000  0 1.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0000      0.988 0.000  0 1.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.0000      1.000 0.000  1 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.988 0.000  0 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0000      0.988 0.000  0 1.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      1.000 1.000  0 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.988 0.000  0 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      1.000 0.000  1 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000      1.000 0.000  1 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      1.000 0.000  1 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      1.000 1.000  0 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      0.988 0.000  0 1.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0000      1.000 0.000  1 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      1.000 1.000  0 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000      1.000 0.000  1 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.988 0.000  0 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      0.988 0.000  0 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      1.000 1.000  0 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      1.000 0.000  1 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000      1.000 0.000  1 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.988 0.000  0 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      1.000 0.000  1 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      1.000 0.000  1 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      1.000 1.000  0 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      1.000 0.000  1 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      1.000 0.000  1 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000      0.988 0.000  0 1.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      1.000 0.000  1 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      1.000 0.000  1 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      1.000 0.000  1 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      1.000 1.000  0 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      1.000 0.000  1 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      1.000 1.000  0 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      1.000 0.000  1 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      1.000 1.000  0 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      1.000 0.000  1 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      1.000 0.000  1 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      1.000 0.000  1 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.988 0.000  0 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.988 0.000  0 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      1.000 1.000  0 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000      1.000 1.000  0 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      1.000 1.000  0 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000      1.000 0.000  1 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.988 0.000  0 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.988 0.000  0 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      1.000 0.000  1 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      1.000 0.000  1 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      1.000 1.000  0 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.988 0.000  0 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      1.000 0.000  1 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     3  0.1031      0.965 0.024  0 0.976
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      1.000 0.000  1 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000      0.988 0.000  0 1.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      1.000 1.000  0 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000      1.000 1.000  0 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000      1.000 0.000  1 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      1.000 0.000  1 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      1.000 0.000  1 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      1.000 1.000  0 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      1.000 0.000  1 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.988 0.000  0 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      1.000 0.000  1 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      1.000 0.000  1 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000      1.000 0.000  1 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      1.000 1.000  0 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      1.000 1.000  0 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.988 0.000  0 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      1.000 0.000  1 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      1.000 1.000  0 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      1.000 0.000  1 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      1.000 1.000  0 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      1.000 0.000  1 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.0237      0.985 0.004  0 0.996
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      1.000 1.000  0 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      1.000 0.000  1 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      1.000 1.000  0 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      1.000 0.000  1 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      1.000 1.000  0 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000      0.988 0.000  0 1.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      1.000 0.000  1 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      1.000 0.000  1 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      1.000 1.000  0 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      1.000 0.000  1 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      0.988 0.000  0 1.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      1.000 1.000  0 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      1.000 0.000  1 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      0.988 0.000  0 1.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      0.988 0.000  0 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      1.000 1.000  0 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      1.000 1.000  0 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0000      0.988 0.000  0 1.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.988 0.000  0 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      1.000 1.000  0 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      1.000 1.000  0 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      1.000 0.000  1 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000      1.000 0.000  1 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      1.000 1.000  0 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      1.000 0.000  1 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      1.000 0.000  1 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      1.000 1.000  0 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      1.000 0.000  1 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      0.988 0.000  0 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      1.000 0.000  1 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000      1.000 0.000  1 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.0000      0.988 0.000  0 1.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000      0.988 0.000  0 1.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      1.000 0.000  1 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      1.000 0.000  1 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      1.000 0.000  1 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      0.988 0.000  0 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      1.000 0.000  1 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      1.000 0.000  1 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      1.000 0.000  1 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      1.000 0.000  1 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      1.000 0.000  1 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      1.000 0.000  1 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      0.988 0.000  0 1.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      1.000 0.000  1 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      1.000 0.000  1 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      1.000 0.000  1 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.0000      0.988 0.000  0 1.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      0.988 0.000  0 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      1.000 0.000  1 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      0.988 0.000  0 1.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      0.988 0.000  0 1.000

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     4  0.4992      0.405 0.000 0.476 0.000 0.524
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.4888      0.294 0.588 0.000 0.412 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.0000      0.774 0.000 0.000 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.3610      0.629 0.000 0.800 0.000 0.200
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     4  0.4804      0.557 0.000 0.384 0.000 0.616
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     4  0.4790      0.562 0.000 0.380 0.000 0.620
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     4  0.4992      0.405 0.000 0.476 0.000 0.524
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     4  0.4193      0.673 0.000 0.268 0.000 0.732
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     4  0.4193      0.673 0.000 0.268 0.000 0.732
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.0000      0.774 0.000 0.000 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     3  0.0592      0.979 0.016 0.000 0.984 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.0000      0.774 0.000 0.000 0.000 1.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0000      0.774 0.000 0.000 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     4  0.4134      0.679 0.000 0.260 0.000 0.740
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.3610      0.595 0.000 0.200 0.000 0.800
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.0000      0.774 0.000 0.000 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     4  0.4941      0.479 0.000 0.436 0.000 0.564
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.0000      0.774 0.000 0.000 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     4  0.4761      0.572 0.000 0.372 0.000 0.628
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     4  0.3266      0.723 0.000 0.168 0.000 0.832
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.1389      0.756 0.000 0.048 0.000 0.952
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.4697      0.391 0.000 0.644 0.000 0.356
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.4843      0.312 0.000 0.604 0.000 0.396
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     4  0.4072      0.683 0.000 0.252 0.000 0.748
#> 1339CB34-B996-470A-9710-0649DD05D18A     4  0.0000      0.774 0.000 0.000 0.000 1.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.0000      0.774 0.000 0.000 0.000 1.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     3  0.4050      0.788 0.024 0.000 0.808 0.168
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0188      0.924 0.000 0.996 0.000 0.004
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.0000      0.774 0.000 0.000 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     4  0.0000      0.774 0.000 0.000 0.000 1.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     4  0.0000      0.774 0.000 0.000 0.000 1.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     4  0.4817      0.552 0.000 0.388 0.000 0.612
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.0000      0.774 0.000 0.000 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     4  0.0000      0.774 0.000 0.000 0.000 1.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     4  0.4193      0.673 0.000 0.268 0.000 0.732
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.0336      0.987 0.008 0.000 0.992 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0469      0.916 0.000 0.988 0.000 0.012
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.4164      0.477 0.000 0.736 0.000 0.264
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     4  0.4992      0.405 0.000 0.476 0.000 0.524
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.4941      0.479 0.000 0.436 0.000 0.564
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     4  0.4994      0.395 0.000 0.480 0.000 0.520
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.0000      0.774 0.000 0.000 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.0000      0.774 0.000 0.000 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     4  0.0000      0.774 0.000 0.000 0.000 1.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.988 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0000      0.774 0.000 0.000 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.4843      0.312 0.000 0.604 0.000 0.396
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     4  0.4992      0.405 0.000 0.476 0.000 0.524
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0707      0.907 0.000 0.980 0.000 0.020
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.3610      0.629 0.000 0.800 0.000 0.200
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.0000      0.774 0.000 0.000 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     4  0.4992      0.405 0.000 0.476 0.000 0.524
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.4916      0.159 0.000 0.424 0.000 0.576
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     4  0.0000      0.774 0.000 0.000 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.928 0.000 1.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      0.995 0.000 0.000 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      0.995 0.000 0.000 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.2179     0.8719 0.888 0.000 0.000 0.112 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     5  0.1270     0.7304 0.000 0.052 0.000 0.000 0.948
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.1121     0.9632 0.000 0.000 0.956 0.044 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.6764     0.3286 0.368 0.000 0.268 0.364 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.4182     0.4974 0.000 0.000 0.000 0.600 0.400
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.1121     0.9632 0.000 0.000 0.956 0.044 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.3452     0.8046 0.756 0.000 0.000 0.244 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.1121     0.9632 0.000 0.000 0.956 0.044 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0794     0.9646 0.000 0.000 0.972 0.028 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     5  0.3586     0.4817 0.000 0.264 0.000 0.000 0.736
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     5  0.0963     0.7359 0.000 0.036 0.000 0.000 0.964
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.3452     0.8046 0.756 0.000 0.000 0.244 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.2773     0.8577 0.836 0.000 0.000 0.164 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     5  0.0963     0.7359 0.000 0.036 0.000 0.000 0.964
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     5  0.1671     0.7176 0.000 0.076 0.000 0.000 0.924
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     5  0.0703     0.7356 0.000 0.024 0.000 0.000 0.976
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     5  0.0703     0.7356 0.000 0.024 0.000 0.000 0.976
#> 667C5809-4A62-4344-9854-CE5703C99FDA     5  0.2891     0.6267 0.000 0.000 0.000 0.176 0.824
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     3  0.3455     0.8162 0.008 0.000 0.784 0.208 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.1121     0.9632 0.000 0.000 0.956 0.044 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     5  0.4256    -0.0925 0.000 0.000 0.000 0.436 0.564
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.1121     0.9632 0.000 0.000 0.956 0.044 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     5  0.4302    -0.2449 0.000 0.000 0.000 0.480 0.520
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     5  0.0992     0.7351 0.000 0.024 0.000 0.008 0.968
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0794     0.9646 0.000 0.000 0.972 0.028 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.5928     0.4984 0.000 0.192 0.000 0.596 0.212
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.2966     0.8496 0.816 0.000 0.000 0.184 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.4182     0.4974 0.000 0.000 0.000 0.600 0.400
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.1121     0.9632 0.000 0.000 0.956 0.044 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     5  0.3459     0.6485 0.000 0.052 0.000 0.116 0.832
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.4182     0.4974 0.000 0.000 0.000 0.600 0.400
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     5  0.0963     0.7359 0.000 0.036 0.000 0.000 0.964
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     5  0.0000     0.7245 0.000 0.000 0.000 0.000 1.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.4744     0.2785 0.000 0.016 0.000 0.508 0.476
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.4908     0.2860 0.000 0.608 0.000 0.356 0.036
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.5177     0.0839 0.000 0.472 0.000 0.488 0.040
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.1043     0.9023 0.960 0.000 0.000 0.040 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     5  0.3655     0.6457 0.000 0.036 0.000 0.160 0.804
#> 1339CB34-B996-470A-9710-0649DD05D18A     5  0.2891     0.6267 0.000 0.000 0.000 0.176 0.824
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.3109     0.7174 0.000 0.800 0.000 0.000 0.200
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.3452     0.8046 0.756 0.000 0.000 0.244 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     5  0.4227    -0.0306 0.000 0.000 0.000 0.420 0.580
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.2179     0.8719 0.888 0.000 0.000 0.112 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     4  0.3796     0.1432 0.000 0.000 0.300 0.700 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     5  0.4256     0.1565 0.000 0.436 0.000 0.000 0.564
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0510     0.9666 0.000 0.000 0.984 0.016 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.3003     0.8479 0.812 0.000 0.000 0.188 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.3452     0.8046 0.756 0.000 0.000 0.244 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.4182     0.4974 0.000 0.000 0.000 0.600 0.400
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     5  0.3010     0.6273 0.000 0.004 0.000 0.172 0.824
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.2561     0.8642 0.856 0.000 0.000 0.144 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     5  0.2891     0.6267 0.000 0.000 0.000 0.176 0.824
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     5  0.0963     0.7359 0.000 0.036 0.000 0.000 0.964
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0703     0.9317 0.000 0.976 0.000 0.000 0.024
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.4182     0.4974 0.000 0.000 0.000 0.600 0.400
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.3452     0.8046 0.756 0.000 0.000 0.244 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     5  0.2891     0.6267 0.000 0.000 0.000 0.176 0.824
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.2230     0.8712 0.884 0.000 0.000 0.116 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     5  0.0703     0.7356 0.000 0.024 0.000 0.000 0.976
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.4444     0.7757 0.088 0.000 0.756 0.156 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.3612     0.5889 0.000 0.732 0.000 0.268 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     5  0.3395     0.5308 0.000 0.236 0.000 0.000 0.764
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     5  0.1478     0.7247 0.000 0.064 0.000 0.000 0.936
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     5  0.3459     0.6485 0.000 0.052 0.000 0.116 0.832
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0510     0.9666 0.000 0.000 0.984 0.016 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.1121     0.9632 0.000 0.000 0.956 0.044 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.3395     0.8087 0.764 0.000 0.000 0.236 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.1121     0.9632 0.000 0.000 0.956 0.044 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.2179     0.8719 0.888 0.000 0.000 0.112 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.2690     0.8479 0.844 0.000 0.000 0.156 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     5  0.1908     0.7056 0.000 0.092 0.000 0.000 0.908
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     5  0.2891     0.6267 0.000 0.000 0.000 0.176 0.824
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.3242     0.8190 0.784 0.000 0.000 0.216 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.4182     0.4974 0.000 0.000 0.000 0.600 0.400
#> 16A70057-AF47-4934-992E-3E9CF6E74684     5  0.1270     0.7076 0.000 0.000 0.000 0.052 0.948
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9145 1.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0404     0.9427 0.000 0.988 0.000 0.000 0.012
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.1121     0.9632 0.000 0.000 0.956 0.044 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.2891     0.7522 0.000 0.824 0.000 0.000 0.176
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     5  0.4302    -0.2449 0.000 0.000 0.000 0.480 0.520
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.2690     0.8737 0.000 0.000 0.844 0.156 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.1121     0.9632 0.000 0.000 0.956 0.044 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.5177     0.0839 0.000 0.472 0.000 0.488 0.040
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     5  0.1341     0.7284 0.000 0.056 0.000 0.000 0.944
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0510     0.9666 0.000 0.000 0.984 0.016 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.1478     0.8885 0.000 0.936 0.000 0.000 0.064
#> 4022B5D9-8B67-45C3-867B-A72129500F86     5  0.3949     0.3840 0.000 0.332 0.000 0.000 0.668
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     5  0.2891     0.6267 0.000 0.000 0.000 0.176 0.824
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.1121     0.9632 0.000 0.000 0.956 0.044 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     5  0.2329     0.6771 0.000 0.124 0.000 0.000 0.876
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.5506     0.2711 0.000 0.404 0.000 0.528 0.068
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     5  0.2891     0.6267 0.000 0.000 0.000 0.176 0.824
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.3480     0.7821 0.000 0.000 0.752 0.248 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.1121     0.9632 0.000 0.000 0.956 0.044 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000     0.9528 0.000 1.000 0.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0510     0.9666 0.000 0.000 0.984 0.016 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.1121     0.9632 0.000 0.000 0.956 0.044 0.000

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.2858     0.7433 0.844 0.000 0.000 0.032 0.000 0.124
#> 11C93F5A-2187-484A-805D-BB696C1B9032     5  0.0692     0.7396 0.000 0.020 0.000 0.000 0.976 0.004
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.4500     0.7884 0.000 0.000 0.708 0.144 0.000 0.148
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0146     0.8593 0.996 0.000 0.000 0.000 0.000 0.004
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     6  0.4436     0.5728 0.088 0.000 0.148 0.020 0.000 0.744
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.1176     0.9117 0.000 0.956 0.000 0.020 0.000 0.024
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0260     0.8440 0.000 0.000 0.992 0.000 0.000 0.008
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.2902     0.6549 0.000 0.000 0.000 0.800 0.196 0.004
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.4535     0.7867 0.000 0.000 0.704 0.144 0.000 0.152
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     6  0.3706     0.6025 0.380 0.000 0.000 0.000 0.000 0.620
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.4634     0.7818 0.000 0.000 0.692 0.144 0.000 0.164
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.4074     0.7978 0.000 0.000 0.752 0.108 0.000 0.140
#> 1709294C-7194-493D-AF5C-574927F57C0C     5  0.2558     0.6324 0.000 0.156 0.000 0.000 0.840 0.004
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.8607 1.000 0.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     5  0.0146     0.7441 0.000 0.000 0.000 0.000 0.996 0.004
#> ABB04648-2D62-4E34-9003-4458BF84318D     6  0.3706     0.6025 0.380 0.000 0.000 0.000 0.000 0.620
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.4170     0.4756 0.660 0.000 0.000 0.032 0.000 0.308
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     5  0.0000     0.7446 0.000 0.000 0.000 0.000 1.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     5  0.1152     0.7295 0.000 0.044 0.000 0.000 0.952 0.004
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.9224 0.000 1.000 0.000 0.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     5  0.0000     0.7446 0.000 0.000 0.000 0.000 1.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.9224 0.000 1.000 0.000 0.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     5  0.0000     0.7446 0.000 0.000 0.000 0.000 1.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     5  0.4332     0.5252 0.000 0.000 0.000 0.276 0.672 0.052
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.1092     0.9129 0.000 0.960 0.000 0.020 0.000 0.020
#> 00B1B6C5-C4C1-4248-8879-F30727137391     6  0.5116    -0.0272 0.000 0.000 0.344 0.096 0.000 0.560
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0146     0.8456 0.000 0.000 0.996 0.000 0.000 0.004
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0146     0.9218 0.000 0.996 0.000 0.000 0.000 0.004
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.8607 1.000 0.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.1176     0.9117 0.000 0.956 0.000 0.020 0.000 0.024
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0146     0.8445 0.000 0.000 0.996 0.000 0.000 0.004
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.4634     0.7818 0.000 0.000 0.692 0.144 0.000 0.164
#> B644962A-DEFE-4169-A39E-EF2141F5125A     5  0.4833     0.1292 0.000 0.000 0.000 0.428 0.516 0.056
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0146     0.8445 0.000 0.000 0.996 0.000 0.000 0.004
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.4634     0.7818 0.000 0.000 0.692 0.144 0.000 0.164
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.8607 1.000 0.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0260     0.8440 0.000 0.000 0.992 0.000 0.000 0.008
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.9224 0.000 1.000 0.000 0.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.4707     0.3711 0.000 0.000 0.000 0.584 0.360 0.056
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     5  0.1141     0.7297 0.000 0.000 0.000 0.052 0.948 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.8607 1.000 0.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.4074     0.7978 0.000 0.000 0.752 0.108 0.000 0.140
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.4142     0.6299 0.000 0.160 0.000 0.764 0.052 0.024
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.4513     0.1108 0.528 0.000 0.000 0.032 0.000 0.440
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.3699     0.6256 0.000 0.000 0.000 0.752 0.212 0.036
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0146     0.8445 0.000 0.000 0.996 0.000 0.000 0.004
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.4500     0.7885 0.000 0.000 0.708 0.144 0.000 0.148
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.8607 1.000 0.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     5  0.2851     0.6452 0.000 0.020 0.000 0.132 0.844 0.004
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.3012     0.6554 0.000 0.000 0.000 0.796 0.196 0.008
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0146     0.8456 0.000 0.000 0.996 0.000 0.000 0.004
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.1176     0.9117 0.000 0.956 0.000 0.020 0.000 0.024
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.9224 0.000 1.000 0.000 0.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.8607 1.000 0.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     5  0.0000     0.7446 0.000 0.000 0.000 0.000 1.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     5  0.0000     0.7446 0.000 0.000 0.000 0.000 1.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0146     0.8445 0.000 0.000 0.996 0.000 0.000 0.004
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.1321     0.9098 0.000 0.952 0.000 0.020 0.004 0.024
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.5269     0.3767 0.000 0.032 0.000 0.584 0.332 0.052
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.9224 0.000 1.000 0.000 0.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0458     0.8543 0.984 0.000 0.000 0.000 0.000 0.016
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.4410     0.2471 0.000 0.412 0.000 0.560 0.000 0.028
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.8607 1.000 0.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.4076     0.4049 0.000 0.364 0.000 0.620 0.000 0.016
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.1267     0.8230 0.940 0.000 0.000 0.000 0.000 0.060
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     5  0.4867     0.4989 0.000 0.008 0.000 0.272 0.644 0.076
#> 1339CB34-B996-470A-9710-0649DD05D18A     5  0.4535     0.4984 0.000 0.000 0.000 0.296 0.644 0.060
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.3769     0.4814 0.000 0.640 0.000 0.000 0.356 0.004
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0146     0.8456 0.000 0.000 0.996 0.000 0.000 0.004
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0260     0.8440 0.000 0.000 0.992 0.000 0.000 0.008
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.8607 1.000 0.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     6  0.3706     0.6025 0.380 0.000 0.000 0.000 0.000 0.620
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.8607 1.000 0.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     5  0.4933     0.1228 0.000 0.000 0.000 0.432 0.504 0.064
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0146     0.8445 0.000 0.000 0.996 0.000 0.000 0.004
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0146     0.8445 0.000 0.000 0.996 0.000 0.000 0.004
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0146     0.9218 0.000 0.996 0.000 0.000 0.000 0.004
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0146     0.9218 0.000 0.996 0.000 0.000 0.000 0.004
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.2901     0.7400 0.840 0.000 0.000 0.032 0.000 0.128
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0146     0.8456 0.000 0.000 0.996 0.000 0.000 0.004
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000     0.9224 0.000 1.000 0.000 0.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     6  0.3175     0.4989 0.000 0.000 0.164 0.028 0.000 0.808
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     5  0.4006     0.4511 0.000 0.252 0.000 0.020 0.716 0.012
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.1088     0.8423 0.000 0.000 0.960 0.024 0.000 0.016
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.4531     0.0214 0.504 0.000 0.000 0.032 0.000 0.464
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     6  0.3706     0.6025 0.380 0.000 0.000 0.000 0.000 0.620
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.2902     0.6550 0.000 0.000 0.000 0.800 0.196 0.004
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.1176     0.9117 0.000 0.956 0.000 0.020 0.000 0.024
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     5  0.4781     0.4976 0.000 0.004 0.000 0.276 0.644 0.076
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.4332     0.3715 0.616 0.000 0.000 0.032 0.000 0.352
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     5  0.4388     0.5211 0.000 0.000 0.000 0.276 0.668 0.056
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0146     0.8445 0.000 0.000 0.996 0.000 0.000 0.004
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     5  0.0146     0.7441 0.000 0.000 0.000 0.000 0.996 0.004
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.1219     0.8851 0.000 0.948 0.000 0.000 0.048 0.004
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.2902     0.6549 0.000 0.000 0.000 0.800 0.196 0.004
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.8607 1.000 0.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.8607 1.000 0.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0146     0.8456 0.000 0.000 0.996 0.000 0.000 0.004
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.1176     0.9117 0.000 0.956 0.000 0.020 0.000 0.024
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     6  0.3706     0.6025 0.380 0.000 0.000 0.000 0.000 0.620
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     5  0.4402     0.5270 0.000 0.000 0.000 0.268 0.672 0.060
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.2942     0.7367 0.836 0.000 0.000 0.032 0.000 0.132
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     5  0.0000     0.7446 0.000 0.000 0.000 0.000 1.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.7321     0.0831 0.264 0.000 0.348 0.104 0.000 0.284
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.8607 1.000 0.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.4039     0.1242 0.000 0.568 0.000 0.424 0.000 0.008
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0458     0.8543 0.984 0.000 0.000 0.000 0.000 0.016
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     5  0.2703     0.6156 0.000 0.172 0.000 0.000 0.824 0.004
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.8607 1.000 0.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000     0.8453 0.000 0.000 1.000 0.000 0.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.1176     0.9117 0.000 0.956 0.000 0.020 0.000 0.024
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0405     0.9206 0.000 0.988 0.000 0.008 0.000 0.004
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0458     0.8543 0.984 0.000 0.000 0.000 0.000 0.016
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     5  0.1082     0.7316 0.000 0.040 0.000 0.000 0.956 0.004
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0146     0.8445 0.000 0.000 0.996 0.000 0.000 0.004
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.8607 1.000 0.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     5  0.2851     0.6454 0.000 0.020 0.000 0.132 0.844 0.004
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.1088     0.8423 0.000 0.000 0.960 0.024 0.000 0.016
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.4569     0.7847 0.000 0.000 0.700 0.144 0.000 0.156
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.8607 1.000 0.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     6  0.3782     0.5397 0.412 0.000 0.000 0.000 0.000 0.588
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.4666     0.7790 0.000 0.000 0.688 0.144 0.000 0.168
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0146     0.8456 0.000 0.000 0.996 0.000 0.000 0.004
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.2858     0.7433 0.844 0.000 0.000 0.032 0.000 0.124
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.3101     0.4995 0.756 0.000 0.000 0.000 0.000 0.244
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     5  0.2395     0.7000 0.000 0.076 0.000 0.020 0.892 0.012
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     5  0.4427     0.5084 0.000 0.000 0.000 0.284 0.660 0.056
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.3838    -0.1928 0.552 0.000 0.000 0.000 0.000 0.448
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.3796     0.6480 0.000 0.000 0.000 0.764 0.176 0.060
#> 16A70057-AF47-4934-992E-3E9CF6E74684     5  0.2750     0.6744 0.000 0.000 0.000 0.136 0.844 0.020
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.8607 1.000 0.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.1882     0.8965 0.000 0.928 0.000 0.020 0.028 0.024
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.4535     0.7867 0.000 0.000 0.704 0.144 0.000 0.152
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.3636     0.5332 0.000 0.676 0.000 0.000 0.320 0.004
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.4707     0.3711 0.000 0.000 0.000 0.584 0.360 0.056
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.5074     0.6486 0.000 0.000 0.596 0.108 0.000 0.296
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.4634     0.7818 0.000 0.000 0.692 0.144 0.000 0.164
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.4238     0.4143 0.000 0.344 0.000 0.628 0.000 0.028
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     5  0.0603     0.7407 0.000 0.016 0.000 0.000 0.980 0.004
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     0.9224 0.000 1.000 0.000 0.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.1088     0.8423 0.000 0.000 0.960 0.024 0.000 0.016
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0146     0.9218 0.000 0.996 0.000 0.000 0.000 0.004
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.3402     0.7377 0.000 0.800 0.000 0.020 0.168 0.012
#> 4022B5D9-8B67-45C3-867B-A72129500F86     5  0.3189     0.5304 0.000 0.236 0.000 0.000 0.760 0.004
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     5  0.4371     0.5135 0.000 0.000 0.000 0.284 0.664 0.052
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.9224 0.000 1.000 0.000 0.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0146     0.9218 0.000 0.996 0.000 0.000 0.000 0.004
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.4569     0.7847 0.000 0.000 0.700 0.144 0.000 0.156
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     5  0.2191     0.6722 0.000 0.120 0.000 0.000 0.876 0.004
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.4391     0.4596 0.000 0.320 0.000 0.644 0.008 0.028
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     5  0.4332     0.5252 0.000 0.000 0.000 0.276 0.672 0.052
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     6  0.4727     0.2374 0.000 0.000 0.240 0.100 0.000 0.660
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.4500     0.7884 0.000 0.000 0.708 0.144 0.000 0.148
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000     0.9224 0.000 1.000 0.000 0.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0820     0.8437 0.000 0.000 0.972 0.012 0.000 0.016
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.4569     0.7847 0.000 0.000 0.700 0.144 0.000 0.156

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-SD-skmeans-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-SD-skmeans-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-SD-skmeans-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-SD-skmeans-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-SD-skmeans-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-SD-skmeans-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-SD-skmeans-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-SD-skmeans-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-SD-skmeans-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-SD-skmeans-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-SD-skmeans-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-SD-skmeans-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-SD-skmeans-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-SD-skmeans-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-SD-skmeans-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-SD-skmeans-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-SD-skmeans-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-SD-skmeans-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-SD-skmeans-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-SD-skmeans-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk SD-skmeans-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-SD-skmeans-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-SD-skmeans-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-SD-skmeans-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-SD-skmeans-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-SD-skmeans-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk SD-skmeans-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


SD:pam**

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["SD", "pam"]
# you can also extract it by
# res = res_list["SD:pam"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#>   Subgroups are detected by 'pam' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 4.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk SD-pam-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk SD-pam-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 1.000           1.000       1.000         0.5034 0.497   0.497
#> 3 3 1.000           0.992       0.997         0.2621 0.868   0.734
#> 4 4 0.968           0.945       0.954         0.1762 0.881   0.675
#> 5 5 0.873           0.840       0.872         0.0557 1.000   1.000
#> 6 6 0.879           0.766       0.865         0.0374 0.926   0.706

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 4
#> attr(,"optional")
#> [1] 2 3

There is also optional best \(k\) = 2 3 that is worth to check.

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette p1 p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1       0          1  1  0
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2       0          1  0  1
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1       0          1  1  0
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1       0          1  1  0
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1       0          1  1  0
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2       0          1  0  1
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1       0          1  1  0
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2       0          1  0  1
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1       0          1  1  0
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1       0          1  1  0
#> 12078907-435A-46C9-96C1-24E71BF4602D     1       0          1  1  0
#> 8670C657-F6AB-4767-9278-42E64C614370     1       0          1  1  0
#> 1709294C-7194-493D-AF5C-574927F57C0C     2       0          1  0  1
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1       0          1  1  0
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2       0          1  0  1
#> ABB04648-2D62-4E34-9003-4458BF84318D     1       0          1  1  0
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1       0          1  1  0
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2       0          1  0  1
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2       0          1  0  1
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2       0          1  0  1
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2       0          1  0  1
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2       0          1  0  1
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2       0          1  0  1
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2       0          1  0  1
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2       0          1  0  1
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1       0          1  1  0
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1       0          1  1  0
#> 75565A38-EC23-4052-8D31-903C601F64D5     2       0          1  0  1
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1       0          1  1  0
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2       0          1  0  1
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1       0          1  1  0
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1       0          1  1  0
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2       0          1  0  1
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1       0          1  1  0
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1       0          1  1  0
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1       0          1  1  0
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1       0          1  1  0
#> 589ACA26-273D-491F-836B-A604BE63947B     2       0          1  0  1
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2       0          1  0  1
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2       0          1  0  1
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1       0          1  1  0
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1       0          1  1  0
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2       0          1  0  1
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1       0          1  1  0
#> C3087790-7575-4662-A7DC-B32808B9A775     2       0          1  0  1
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1       0          1  1  0
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1       0          1  1  0
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1       0          1  1  0
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2       0          1  0  1
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2       0          1  0  1
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1       0          1  1  0
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2       0          1  0  1
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2       0          1  0  1
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1       0          1  1  0
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2       0          1  0  1
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2       0          1  0  1
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1       0          1  1  0
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2       0          1  0  1
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2       0          1  0  1
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2       0          1  0  1
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1       0          1  1  0
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2       0          1  0  1
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1       0          1  1  0
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2       0          1  0  1
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1       0          1  1  0
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2       0          1  0  1
#> 1339CB34-B996-470A-9710-0649DD05D18A     2       0          1  0  1
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2       0          1  0  1
#> 7559E197-0527-40D8-A982-C37B35A9A902     1       0          1  1  0
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1       0          1  1  0
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1       0          1  1  0
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1       0          1  1  0
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1       0          1  1  0
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2       0          1  0  1
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1       0          1  1  0
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1       0          1  1  0
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2       0          1  0  1
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2       0          1  0  1
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1       0          1  1  0
#> E61A5740-7C26-4730-9610-A3C710098B92     1       0          1  1  0
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2       0          1  0  1
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1       0          1  1  0
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2       0          1  0  1
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1       0          1  1  0
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1       0          1  1  0
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1       0          1  1  0
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2       0          1  0  1
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2       0          1  0  1
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2       0          1  0  1
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1       0          1  1  0
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2       0          1  0  1
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1       0          1  1  0
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2       0          1  0  1
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2       0          1  0  1
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2       0          1  0  1
#> CF882451-7864-4A14-8893-D9F3D1B79379     1       0          1  1  0
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1       0          1  1  0
#> 10161FA0-E389-4D98-B854-098AF908C898     1       0          1  1  0
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2       0          1  0  1
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1       0          1  1  0
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2       0          1  0  1
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1       0          1  1  0
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2       0          1  0  1
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1       0          1  1  0
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1       0          1  1  0
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2       0          1  0  1
#> C06A7A87-28A2-4851-A743-583F729D07D3     1       0          1  1  0
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2       0          1  0  1
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1       0          1  1  0
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1       0          1  1  0
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2       0          1  0  1
#> 692A3312-2027-472B-A28C-C661A0539EB5     2       0          1  0  1
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1       0          1  1  0
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2       0          1  0  1
#> 86689648-2C4A-456F-A551-B9731400846C     1       0          1  1  0
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1       0          1  1  0
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2       0          1  0  1
#> BFB33809-F185-4835-8329-AE53FDEE847C     1       0          1  1  0
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1       0          1  1  0
#> 852F1EDF-6046-462C-820F-9782410E1845     1       0          1  1  0
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1       0          1  1  0
#> B18217F7-303C-4104-848E-A354DADE72BF     1       0          1  1  0
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1       0          1  1  0
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1       0          1  1  0
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1       0          1  1  0
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2       0          1  0  1
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2       0          1  0  1
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1       0          1  1  0
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2       0          1  0  1
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2       0          1  0  1
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1       0          1  1  0
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2       0          1  0  1
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1       0          1  1  0
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2       0          1  0  1
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2       0          1  0  1
#> 864194B9-3525-439D-84A4-EA257300335C     1       0          1  1  0
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1       0          1  1  0
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2       0          1  0  1
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2       0          1  0  1
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2       0          1  0  1
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1       0          1  1  0
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2       0          1  0  1
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2       0          1  0  1
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2       0          1  0  1
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2       0          1  0  1
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2       0          1  0  1
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2       0          1  0  1
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1       0          1  1  0
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2       0          1  0  1
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2       0          1  0  1
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2       0          1  0  1
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1       0          1  1  0
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1       0          1  1  0
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2       0          1  0  1
#> 6ED5E961-E559-4459-937E-D0F03650620F     1       0          1  1  0
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1       0          1  1  0

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1   p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      1.000 1.000 0.00 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      1.000 0.000 1.00 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      0.988 0.000 0.00 1.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      1.000 1.000 0.00 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.0000      1.000 1.000 0.00 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      1.000 0.000 1.00 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.988 0.000 0.00 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0000      1.000 0.000 1.00 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000      0.988 0.000 0.00 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000      1.000 1.000 0.00 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000      0.988 0.000 0.00 1.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      0.988 0.000 0.00 1.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      1.000 0.000 1.00 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      1.000 1.000 0.00 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      1.000 0.000 1.00 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      1.000 1.000 0.00 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      1.000 1.000 0.00 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      1.000 0.000 1.00 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      1.000 0.000 1.00 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      1.000 0.000 1.00 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      1.000 0.000 1.00 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      1.000 0.000 1.00 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      1.000 0.000 1.00 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      1.000 0.000 1.00 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      1.000 0.000 1.00 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0000      1.000 1.000 0.00 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.988 0.000 0.00 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      1.000 0.000 1.00 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      1.000 1.000 0.00 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      1.000 0.000 1.00 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      0.988 0.000 0.00 1.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0000      0.988 0.000 0.00 1.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.0000      1.000 0.000 1.00 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.988 0.000 0.00 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0000      0.988 0.000 0.00 1.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      1.000 1.000 0.00 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.988 0.000 0.00 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      1.000 0.000 1.00 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000      1.000 0.000 1.00 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      1.000 0.000 1.00 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      1.000 1.000 0.00 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      0.988 0.000 0.00 1.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0000      1.000 0.000 1.00 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      1.000 1.000 0.00 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000      1.000 0.000 1.00 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.988 0.000 0.00 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      0.988 0.000 0.00 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      1.000 1.000 0.00 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      1.000 0.000 1.00 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000      1.000 0.000 1.00 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.988 0.000 0.00 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      1.000 0.000 1.00 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      1.000 0.000 1.00 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      1.000 1.000 0.00 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      1.000 0.000 1.00 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      1.000 0.000 1.00 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.2448      0.912 0.076 0.00 0.924
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      1.000 0.000 1.00 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      1.000 0.000 1.00 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      1.000 0.000 1.00 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      1.000 1.000 0.00 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      1.000 0.000 1.00 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      1.000 1.000 0.00 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      1.000 0.000 1.00 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      1.000 1.000 0.00 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      1.000 0.000 1.00 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      1.000 0.000 1.00 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      1.000 0.000 1.00 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.988 0.000 0.00 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.988 0.000 0.00 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      1.000 1.000 0.00 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000      1.000 1.000 0.00 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      1.000 1.000 0.00 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000      1.000 0.000 1.00 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.988 0.000 0.00 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.988 0.000 0.00 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      1.000 0.000 1.00 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      1.000 0.000 1.00 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      1.000 1.000 0.00 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.988 0.000 0.00 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      1.000 0.000 1.00 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.0000      1.000 1.000 0.00 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      1.000 0.000 1.00 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000      0.988 0.000 0.00 1.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      1.000 1.000 0.00 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000      1.000 1.000 0.00 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000      1.000 0.000 1.00 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      1.000 0.000 1.00 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      1.000 0.000 1.00 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      1.000 1.000 0.00 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      1.000 0.000 1.00 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.988 0.000 0.00 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      1.000 0.000 1.00 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      1.000 0.000 1.00 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000      1.000 0.000 1.00 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      1.000 1.000 0.00 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      1.000 1.000 0.00 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.988 0.000 0.00 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      1.000 0.000 1.00 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      1.000 1.000 0.00 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      1.000 0.000 1.00 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      1.000 1.000 0.00 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      1.000 0.000 1.00 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.0592      0.988 0.988 0.00 0.012
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      1.000 1.000 0.00 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      1.000 0.000 1.00 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      1.000 1.000 0.00 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      1.000 0.000 1.00 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      1.000 1.000 0.00 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0892      0.965 0.000 0.02 0.980
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      1.000 0.000 1.00 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      1.000 0.000 1.00 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      1.000 1.000 0.00 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      1.000 0.000 1.00 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      0.988 0.000 0.00 1.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      1.000 1.000 0.00 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      1.000 0.000 1.00 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      0.988 0.000 0.00 1.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      0.988 0.000 0.00 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      1.000 1.000 0.00 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      1.000 1.000 0.00 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0000      0.988 0.000 0.00 1.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.988 0.000 0.00 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      1.000 1.000 0.00 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      1.000 1.000 0.00 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      1.000 0.000 1.00 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000      1.000 0.000 1.00 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      1.000 1.000 0.00 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      1.000 0.000 1.00 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      1.000 0.000 1.00 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      1.000 1.000 0.00 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      1.000 0.000 1.00 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      0.988 0.000 0.00 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      1.000 0.000 1.00 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000      1.000 0.000 1.00 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.0000      0.988 0.000 0.00 1.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000      0.988 0.000 0.00 1.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      1.000 0.000 1.00 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      1.000 0.000 1.00 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      1.000 0.000 1.00 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      0.988 0.000 0.00 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      1.000 0.000 1.00 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      1.000 0.000 1.00 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      1.000 0.000 1.00 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      1.000 0.000 1.00 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      1.000 0.000 1.00 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      1.000 0.000 1.00 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      0.988 0.000 0.00 1.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      1.000 0.000 1.00 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      1.000 0.000 1.00 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      1.000 0.000 1.00 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.5988      0.422 0.368 0.00 0.632
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      0.988 0.000 0.00 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      1.000 0.000 1.00 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      0.988 0.000 0.00 1.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      0.988 0.000 0.00 1.000

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.1118      0.982 0.964 0.036 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     4  0.1792      0.915 0.000 0.068 0.000 0.932
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0592      0.972 0.000 0.016 0.984 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.1118      0.982 0.964 0.036 0.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.1022      0.973 0.000 0.032 0.968 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.0000      0.966 0.000 0.000 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0336      0.971 0.000 0.008 0.992 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0817      0.985 0.976 0.024 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0188      0.971 0.000 0.004 0.996 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.1022      0.973 0.000 0.032 0.968 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0817      0.985 0.976 0.024 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.1118      0.982 0.964 0.036 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.1305      0.980 0.960 0.036 0.004 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.1022      0.973 0.000 0.032 0.968 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.2589      0.918 0.000 0.884 0.000 0.116
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.1211      0.956 0.000 0.040 0.960 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0336      0.971 0.000 0.008 0.992 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.0000      0.966 0.000 0.000 0.000 1.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.1022      0.973 0.000 0.032 0.968 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0336      0.971 0.000 0.008 0.992 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.1022      0.973 0.000 0.032 0.968 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0000      0.966 0.000 0.000 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.1022      0.973 0.000 0.032 0.968 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.5097      0.390 0.004 0.568 0.000 0.428
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.1118      0.982 0.964 0.036 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.0000      0.966 0.000 0.000 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.1022      0.973 0.000 0.032 0.968 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0188      0.971 0.000 0.004 0.996 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.0000      0.966 0.000 0.000 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.1022      0.973 0.000 0.032 0.968 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.3128      0.887 0.076 0.040 0.884 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.1940      0.911 0.000 0.076 0.000 0.924
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.2011      0.945 0.000 0.920 0.000 0.080
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.3764      0.807 0.000 0.784 0.000 0.216
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.1118      0.982 0.964 0.036 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> 1339CB34-B996-470A-9710-0649DD05D18A     4  0.1716      0.923 0.000 0.064 0.000 0.936
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.4981      0.299 0.000 0.536 0.000 0.464
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.1022      0.973 0.000 0.032 0.968 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.1022      0.973 0.000 0.032 0.968 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0817      0.985 0.976 0.024 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.1474      0.934 0.000 0.052 0.000 0.948
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.1022      0.973 0.000 0.032 0.968 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.1022      0.973 0.000 0.032 0.968 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.1118      0.982 0.964 0.036 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.1022      0.973 0.000 0.032 0.968 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.1118      0.982 0.964 0.036 0.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.1211      0.956 0.000 0.040 0.960 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.1118      0.982 0.964 0.036 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0817      0.985 0.976 0.024 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.0000      0.966 0.000 0.000 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     4  0.4103      0.644 0.000 0.256 0.000 0.744
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.1118      0.982 0.964 0.036 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.1022      0.973 0.000 0.032 0.968 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.2589      0.918 0.000 0.884 0.000 0.116
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.0000      0.966 0.000 0.000 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.1022      0.973 0.000 0.032 0.968 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.1118      0.982 0.964 0.036 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.1584      0.974 0.952 0.036 0.012 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0188      0.989 0.996 0.004 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.2011      0.945 0.000 0.920 0.000 0.080
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     4  0.4072      0.630 0.000 0.252 0.000 0.748
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.1211      0.967 0.000 0.040 0.960 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.1022      0.973 0.000 0.032 0.968 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.0921      0.955 0.000 0.028 0.000 0.972
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0188      0.971 0.000 0.004 0.996 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0188      0.971 0.000 0.004 0.996 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0336      0.971 0.000 0.008 0.992 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.1022      0.973 0.000 0.032 0.968 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0469      0.987 0.988 0.012 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.0000      0.966 0.000 0.000 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.4072      0.635 0.000 0.252 0.000 0.748
#> 16A70057-AF47-4934-992E-3E9CF6E74684     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.989 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0188      0.971 0.000 0.004 0.996 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.2868      0.899 0.000 0.864 0.000 0.136
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0000      0.966 0.000 0.000 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.1211      0.956 0.000 0.040 0.960 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0336      0.971 0.000 0.008 0.992 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.2011      0.945 0.000 0.920 0.000 0.080
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0188      0.971 0.000 0.004 0.996 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.2589      0.918 0.000 0.884 0.000 0.116
#> 4022B5D9-8B67-45C3-867B-A72129500F86     4  0.0336      0.968 0.000 0.008 0.000 0.992
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.0000      0.966 0.000 0.000 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      0.972 0.000 0.000 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     4  0.1022      0.952 0.000 0.032 0.000 0.968
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.4948      0.357 0.000 0.560 0.000 0.440
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     4  0.0000      0.966 0.000 0.000 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.5535      0.514 0.304 0.040 0.656 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0469      0.973 0.000 0.012 0.988 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.1867      0.951 0.000 0.928 0.000 0.072
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.1211      0.956 0.000 0.040 0.960 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0188      0.971 0.000 0.004 0.996 0.000

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4 p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.798 1.000 0.000 0.000 0.000 NA
#> 11C93F5A-2187-484A-805D-BB696C1B9032     4  0.1544      0.861 0.000 0.068 0.000 0.932 NA
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0880      0.838 0.000 0.000 0.968 0.000 NA
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.0000      0.798 1.000 0.000 0.000 0.000 NA
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.3876      0.821 0.000 0.000 0.684 0.000 NA
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.4060      0.685 0.000 0.000 0.000 0.640 NA
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.1270      0.822 0.052 0.000 0.948 0.000 NA
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.2471      0.855 0.864 0.000 0.000 0.000 NA
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0162      0.834 0.004 0.000 0.996 0.000 NA
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.1965      0.840 0.000 0.000 0.904 0.000 NA
#> 1709294C-7194-493D-AF5C-574927F57C0C     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.2813      0.864 0.832 0.000 0.000 0.000 NA
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      0.798 1.000 0.000 0.000 0.000 NA
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.1043      0.767 0.960 0.000 0.040 0.000 NA
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.3366      0.830 0.000 0.000 0.768 0.000 NA
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.4708      0.667 0.292 0.000 0.668 0.000 NA
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.1341      0.820 0.056 0.000 0.944 0.000 NA
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.3913      0.819 0.000 0.000 0.676 0.000 NA
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.1341      0.820 0.056 0.000 0.944 0.000 NA
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.3913      0.819 0.000 0.000 0.676 0.000 NA
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.4060      0.685 0.000 0.000 0.000 0.640 NA
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.1908      0.840 0.000 0.000 0.908 0.000 NA
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.5446      0.607 0.004 0.576 0.000 0.060 NA
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.798 1.000 0.000 0.000 0.000 NA
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.4060      0.685 0.000 0.000 0.000 0.640 NA
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.3913      0.819 0.000 0.000 0.676 0.000 NA
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      0.834 0.000 0.000 1.000 0.000 NA
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.4060      0.685 0.000 0.000 0.000 0.640 NA
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.3913      0.819 0.000 0.000 0.676 0.000 NA
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.6012      0.629 0.332 0.000 0.536 0.000 NA
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.0703      0.899 0.000 0.024 0.000 0.976 NA
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.4060      0.683 0.000 0.640 0.000 0.000 NA
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.4211      0.680 0.000 0.636 0.000 0.004 NA
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0963      0.812 0.964 0.000 0.000 0.000 NA
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> 1339CB34-B996-470A-9710-0649DD05D18A     4  0.0404      0.907 0.000 0.012 0.000 0.988 NA
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.4150      0.386 0.000 0.612 0.000 0.388 NA
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.3913      0.819 0.000 0.000 0.676 0.000 NA
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.3913      0.819 0.000 0.000 0.676 0.000 NA
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.2813      0.864 0.832 0.000 0.000 0.000 NA
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.3913      0.819 0.000 0.000 0.676 0.000 NA
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.3913      0.819 0.000 0.000 0.676 0.000 NA
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.798 1.000 0.000 0.000 0.000 NA
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.3913      0.819 0.000 0.000 0.676 0.000 NA
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.0609      0.782 0.980 0.000 0.020 0.000 NA
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.3816      0.647 0.304 0.000 0.696 0.000 NA
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      0.798 1.000 0.000 0.000 0.000 NA
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.2813      0.864 0.832 0.000 0.000 0.000 NA
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.4060      0.685 0.000 0.000 0.000 0.640 NA
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     4  0.3336      0.676 0.000 0.228 0.000 0.772 NA
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      0.798 1.000 0.000 0.000 0.000 NA
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.3913      0.819 0.000 0.000 0.676 0.000 NA
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.4060      0.685 0.000 0.000 0.000 0.640 NA
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.3913      0.819 0.000 0.000 0.676 0.000 NA
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.798 1.000 0.000 0.000 0.000 NA
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.1410      0.747 0.940 0.000 0.060 0.000 NA
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.3857      0.897 0.688 0.000 0.000 0.000 NA
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.4060      0.683 0.000 0.640 0.000 0.000 NA
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     4  0.3730      0.585 0.000 0.288 0.000 0.712 NA
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.6160      0.747 0.172 0.000 0.544 0.000 NA
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.3913      0.819 0.000 0.000 0.676 0.000 NA
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0703      0.838 0.000 0.000 0.976 0.000 NA
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      0.834 0.000 0.000 1.000 0.000 NA
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.3612      0.888 0.732 0.000 0.000 0.000 NA
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.1341      0.820 0.056 0.000 0.944 0.000 NA
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.3913      0.819 0.000 0.000 0.676 0.000 NA
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.2516      0.846 0.860 0.000 0.000 0.000 NA
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.3774      0.894 0.704 0.000 0.000 0.000 NA
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.6678      0.267 0.000 0.236 0.000 0.404 NA
#> 16A70057-AF47-4934-992E-3E9CF6E74684     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.3876      0.897 0.684 0.000 0.000 0.000 NA
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      0.834 0.000 0.000 1.000 0.000 NA
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0609      0.910 0.000 0.980 0.000 0.020 NA
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.4060      0.685 0.000 0.000 0.000 0.640 NA
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.3876      0.636 0.316 0.000 0.684 0.000 NA
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.1121      0.825 0.044 0.000 0.956 0.000 NA
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.4060      0.683 0.000 0.640 0.000 0.000 NA
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.1121      0.840 0.000 0.000 0.956 0.000 NA
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> 4022B5D9-8B67-45C3-867B-A72129500F86     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0609      0.838 0.000 0.000 0.980 0.000 NA
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.6180      0.464 0.000 0.496 0.000 0.144 NA
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     4  0.0000      0.914 0.000 0.000 0.000 1.000 NA
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.3983      0.618 0.340 0.000 0.660 0.000 NA
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.1197      0.839 0.000 0.000 0.952 0.000 NA
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.926 0.000 1.000 0.000 0.000 NA
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.4984      0.655 0.308 0.000 0.640 0.000 NA
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      0.834 0.000 0.000 1.000 0.000 NA

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     4  0.4609     0.5396 0.420 0.000 0.000 0.540 0.000 0.040
#> 11C93F5A-2187-484A-805D-BB696C1B9032     5  0.1387     0.8304 0.000 0.068 0.000 0.000 0.932 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     6  0.2048     0.9202 0.000 0.000 0.120 0.000 0.000 0.880
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     4  0.4609     0.5396 0.420 0.000 0.000 0.540 0.000 0.040
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0713     0.9432 0.000 0.000 0.972 0.000 0.000 0.028
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     5  0.5034     0.4532 0.000 0.000 0.000 0.460 0.468 0.072
#> 211FD575-40D6-4E44-818F-3A382F4634DA     6  0.1501     0.9139 0.000 0.000 0.076 0.000 0.000 0.924
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.4504     0.0148 0.592 0.000 0.000 0.368 0.000 0.040
#> 12078907-435A-46C9-96C1-24E71BF4602D     6  0.1910     0.9219 0.000 0.000 0.108 0.000 0.000 0.892
#> 8670C657-F6AB-4767-9278-42E64C614370     6  0.3428     0.7181 0.000 0.000 0.304 0.000 0.000 0.696
#> 1709294C-7194-493D-AF5C-574927F57C0C     5  0.0000     0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     5  0.0000     0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.4229     0.3106 0.668 0.000 0.000 0.292 0.000 0.040
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     4  0.4609     0.5396 0.420 0.000 0.000 0.540 0.000 0.040
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     5  0.0000     0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     5  0.0000     0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     5  0.0000     0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     5  0.0000     0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     5  0.0363     0.8846 0.000 0.000 0.000 0.000 0.988 0.012
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     4  0.4756     0.5392 0.408 0.000 0.000 0.540 0.000 0.052
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.3371     0.4565 0.000 0.000 0.708 0.000 0.000 0.292
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0363     0.9015 0.000 0.988 0.000 0.000 0.012 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     6  0.2934     0.9005 0.000 0.000 0.112 0.044 0.000 0.844
#> E6F801F4-9289-4623-B7D9-60CA56C71683     6  0.1444     0.9122 0.000 0.000 0.072 0.000 0.000 0.928
#> B644962A-DEFE-4169-A39E-EF2141F5125A     5  0.0363     0.8846 0.000 0.000 0.000 0.000 0.988 0.012
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     6  0.1444     0.9122 0.000 0.000 0.072 0.000 0.000 0.928
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     5  0.5034     0.4532 0.000 0.000 0.000 0.460 0.468 0.072
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     5  0.0260     0.8851 0.000 0.000 0.000 0.000 0.992 0.008
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     6  0.3330     0.7509 0.000 0.000 0.284 0.000 0.000 0.716
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.5293     0.4047 0.000 0.464 0.000 0.460 0.016 0.060
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     4  0.4609     0.5396 0.420 0.000 0.000 0.540 0.000 0.040
#> C3087790-7575-4662-A7DC-B32808B9A775     5  0.5034     0.4532 0.000 0.000 0.000 0.460 0.468 0.072
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     6  0.1957     0.9218 0.000 0.000 0.112 0.000 0.000 0.888
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     5  0.0000     0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     5  0.5034     0.4532 0.000 0.000 0.000 0.460 0.468 0.072
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     5  0.0363     0.8846 0.000 0.000 0.000 0.000 0.988 0.012
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     5  0.0000     0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     4  0.5559     0.1900 0.000 0.000 0.284 0.540 0.000 0.176
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     5  0.0547     0.8741 0.000 0.020 0.000 0.000 0.980 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.4895     0.4441 0.000 0.496 0.000 0.444 0.000 0.060
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.5031     0.4206 0.000 0.476 0.000 0.460 0.004 0.060
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.3955    -0.1711 0.560 0.000 0.000 0.436 0.000 0.004
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     5  0.0508     0.8797 0.000 0.012 0.000 0.000 0.984 0.004
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.3747     0.3485 0.000 0.604 0.000 0.000 0.396 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.4229     0.3106 0.668 0.000 0.000 0.292 0.000 0.040
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     5  0.0000     0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     4  0.4609     0.5396 0.420 0.000 0.000 0.540 0.000 0.040
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     4  0.4709     0.5402 0.412 0.000 0.000 0.540 0.000 0.048
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     5  0.0000     0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     6  0.2308     0.8955 0.000 0.000 0.068 0.040 0.000 0.892
#> 5D916BB7-6B38-414E-875E-2497C91B209A     4  0.4609     0.5396 0.420 0.000 0.000 0.540 0.000 0.040
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.4229     0.3106 0.668 0.000 0.000 0.292 0.000 0.040
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     5  0.5034     0.4532 0.000 0.000 0.000 0.460 0.468 0.072
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     5  0.2996     0.6526 0.000 0.228 0.000 0.000 0.772 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     4  0.4609     0.5396 0.420 0.000 0.000 0.540 0.000 0.040
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     5  0.0363     0.8846 0.000 0.000 0.000 0.000 0.988 0.012
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     5  0.0363     0.8846 0.000 0.000 0.000 0.000 0.988 0.012
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0363     0.9015 0.000 0.988 0.000 0.000 0.012 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     5  0.5034     0.4532 0.000 0.000 0.000 0.460 0.468 0.072
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0865     0.8459 0.964 0.000 0.000 0.036 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     5  0.0363     0.8846 0.000 0.000 0.000 0.000 0.988 0.012
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     4  0.4609     0.5396 0.420 0.000 0.000 0.540 0.000 0.040
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     5  0.0000     0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     4  0.5029     0.5227 0.400 0.000 0.000 0.524 0.000 0.076
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0146     0.8759 0.996 0.000 0.000 0.004 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.4758     0.5359 0.000 0.580 0.000 0.360 0.000 0.060
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     5  0.3390     0.5508 0.000 0.296 0.000 0.000 0.704 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.1168     0.9279 0.000 0.000 0.956 0.028 0.000 0.016
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     5  0.0000     0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000     0.9673 0.000 0.000 1.000 0.000 0.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     5  0.0000     0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     6  0.2219     0.9140 0.000 0.000 0.136 0.000 0.000 0.864
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     6  0.1957     0.9218 0.000 0.000 0.112 0.000 0.000 0.888
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.2350     0.7547 0.888 0.000 0.000 0.076 0.000 0.036
#> B18217F7-303C-4104-848E-A354DADE72BF     6  0.1682     0.8619 0.000 0.000 0.020 0.052 0.000 0.928
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0790     0.9380 0.000 0.000 0.968 0.000 0.000 0.032
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.3668     0.2640 0.668 0.000 0.000 0.328 0.000 0.004
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0790     0.8481 0.968 0.000 0.000 0.000 0.000 0.032
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     5  0.0000     0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     5  0.0363     0.8846 0.000 0.000 0.000 0.000 0.988 0.012
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.6758    -0.1818 0.000 0.236 0.000 0.460 0.244 0.060
#> 16A70057-AF47-4934-992E-3E9CF6E74684     5  0.0363     0.8846 0.000 0.000 0.000 0.000 0.988 0.012
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.8789 1.000 0.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0363     0.9015 0.000 0.988 0.000 0.000 0.012 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     6  0.1957     0.9218 0.000 0.000 0.112 0.000 0.000 0.888
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0713     0.8874 0.000 0.972 0.000 0.000 0.028 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     5  0.5034     0.4532 0.000 0.000 0.000 0.460 0.468 0.072
#> 864194B9-3525-439D-84A4-EA257300335C     4  0.3860    -0.0563 0.000 0.000 0.000 0.528 0.000 0.472
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     6  0.1444     0.9122 0.000 0.000 0.072 0.000 0.000 0.928
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.4902     0.4254 0.000 0.480 0.000 0.460 0.000 0.060
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     5  0.0000     0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     6  0.2300     0.9089 0.000 0.000 0.144 0.000 0.000 0.856
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     5  0.0000     0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     5  0.0363     0.8846 0.000 0.000 0.000 0.000 0.988 0.012
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0260     0.9041 0.000 0.992 0.000 0.000 0.008 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     6  0.2260     0.9116 0.000 0.000 0.140 0.000 0.000 0.860
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     5  0.0000     0.8860 0.000 0.000 0.000 0.000 1.000 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.6034    -0.3821 0.000 0.408 0.000 0.460 0.072 0.060
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     5  0.0363     0.8846 0.000 0.000 0.000 0.000 0.988 0.012
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     4  0.4238     0.0183 0.016 0.000 0.000 0.540 0.000 0.444
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     6  0.2300     0.9091 0.000 0.000 0.144 0.000 0.000 0.856
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000     0.9090 0.000 1.000 0.000 0.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     6  0.4843     0.5383 0.000 0.000 0.084 0.300 0.000 0.616
#> 5F1797CC-C35C-44D4-867B-9824FE037552     6  0.1957     0.9218 0.000 0.000 0.112 0.000 0.000 0.888

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-SD-pam-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-SD-pam-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-SD-pam-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-SD-pam-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-SD-pam-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-SD-pam-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-SD-pam-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-SD-pam-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-SD-pam-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-SD-pam-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-SD-pam-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-SD-pam-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-SD-pam-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-SD-pam-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-SD-pam-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-SD-pam-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-SD-pam-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-SD-pam-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-SD-pam-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-SD-pam-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk SD-pam-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-SD-pam-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-SD-pam-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-SD-pam-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-SD-pam-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-SD-pam-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk SD-pam-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


SD:mclust**

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["SD", "mclust"]
# you can also extract it by
# res = res_list["SD:mclust"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#>   Subgroups are detected by 'mclust' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 3.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk SD-mclust-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk SD-mclust-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 1.000           1.000       1.000         0.5034 0.497   0.497
#> 3 3 1.000           0.986       0.987         0.2561 0.868   0.735
#> 4 4 0.883           0.887       0.946         0.1046 0.950   0.864
#> 5 5 0.786           0.667       0.847         0.0851 0.929   0.778
#> 6 6 0.777           0.736       0.818         0.0457 0.871   0.554

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2

There is also optional best \(k\) = 2 that is worth to check.

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette    p1    p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1   0.000      1.000 1.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2   0.000      1.000 0.000 1.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1   0.000      1.000 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1   0.000      1.000 1.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1   0.000      1.000 1.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2   0.000      1.000 0.000 1.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1   0.000      1.000 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2   0.000      1.000 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1   0.000      1.000 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1   0.000      1.000 1.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     1   0.000      1.000 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     1   0.000      1.000 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2   0.000      1.000 0.000 1.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1   0.000      1.000 1.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2   0.000      1.000 0.000 1.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1   0.000      1.000 1.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1   0.000      1.000 1.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2   0.000      1.000 0.000 1.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2   0.000      1.000 0.000 1.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2   0.000      1.000 0.000 1.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2   0.000      1.000 0.000 1.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2   0.000      1.000 0.000 1.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2   0.000      1.000 0.000 1.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2   0.000      1.000 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2   0.000      1.000 0.000 1.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1   0.000      1.000 1.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1   0.000      1.000 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2   0.000      1.000 0.000 1.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1   0.000      1.000 1.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2   0.000      1.000 0.000 1.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1   0.000      1.000 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1   0.000      1.000 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2   0.000      1.000 0.000 1.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1   0.000      1.000 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1   0.000      1.000 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1   0.000      1.000 1.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1   0.000      1.000 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2   0.000      1.000 0.000 1.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2   0.000      1.000 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2   0.000      1.000 0.000 1.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1   0.000      1.000 1.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1   0.000      1.000 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2   0.000      1.000 0.000 1.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1   0.000      1.000 1.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2   0.000      1.000 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1   0.000      1.000 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1   0.000      1.000 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1   0.000      1.000 1.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2   0.000      1.000 0.000 1.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2   0.000      1.000 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1   0.000      1.000 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2   0.000      1.000 0.000 1.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2   0.000      1.000 0.000 1.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1   0.000      1.000 1.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2   0.000      1.000 0.000 1.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2   0.000      1.000 0.000 1.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1   0.000      1.000 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2   0.000      1.000 0.000 1.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2   0.000      1.000 0.000 1.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2   0.000      1.000 0.000 1.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1   0.000      1.000 1.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2   0.000      1.000 0.000 1.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1   0.000      1.000 1.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2   0.000      1.000 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1   0.000      1.000 1.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2   0.000      1.000 0.000 1.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2   0.000      1.000 0.000 1.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2   0.000      1.000 0.000 1.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     1   0.000      1.000 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1   0.000      1.000 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1   0.000      1.000 1.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1   0.000      1.000 1.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1   0.000      1.000 1.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2   0.000      1.000 0.000 1.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1   0.000      1.000 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1   0.000      1.000 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2   0.000      1.000 0.000 1.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2   0.000      1.000 0.000 1.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1   0.000      1.000 1.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     1   0.000      1.000 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2   0.000      1.000 0.000 1.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1   0.000      1.000 1.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2   0.000      1.000 0.000 1.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1   0.000      1.000 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1   0.000      1.000 1.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1   0.000      1.000 1.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2   0.000      1.000 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2   0.000      1.000 0.000 1.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2   0.000      1.000 0.000 1.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1   0.000      1.000 1.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2   0.000      1.000 0.000 1.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1   0.000      1.000 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2   0.000      1.000 0.000 1.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2   0.000      1.000 0.000 1.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2   0.000      1.000 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1   0.000      1.000 1.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1   0.000      1.000 1.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     1   0.000      1.000 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2   0.000      1.000 0.000 1.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1   0.000      1.000 1.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2   0.000      1.000 0.000 1.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1   0.000      1.000 1.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2   0.000      1.000 0.000 1.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1   0.000      1.000 1.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1   0.000      1.000 1.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2   0.000      1.000 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1   0.000      1.000 1.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2   0.000      1.000 0.000 1.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1   0.000      1.000 1.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1   0.163      0.975 0.976 0.024
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2   0.000      1.000 0.000 1.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2   0.000      1.000 0.000 1.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1   0.000      1.000 1.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2   0.000      1.000 0.000 1.000
#> 86689648-2C4A-456F-A551-B9731400846C     1   0.000      1.000 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1   0.000      1.000 1.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2   0.000      1.000 0.000 1.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     1   0.000      1.000 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1   0.000      1.000 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1   0.000      1.000 1.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1   0.000      1.000 1.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     1   0.000      1.000 1.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1   0.000      1.000 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1   0.000      1.000 1.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1   0.000      1.000 1.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2   0.000      1.000 0.000 1.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2   0.000      1.000 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1   0.000      1.000 1.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2   0.000      1.000 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2   0.000      1.000 0.000 1.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1   0.000      1.000 1.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2   0.000      1.000 0.000 1.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1   0.000      1.000 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2   0.000      1.000 0.000 1.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2   0.000      1.000 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     1   0.000      1.000 1.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1   0.000      1.000 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2   0.000      1.000 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2   0.000      1.000 0.000 1.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2   0.000      1.000 0.000 1.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1   0.000      1.000 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2   0.000      1.000 0.000 1.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2   0.000      1.000 0.000 1.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2   0.000      1.000 0.000 1.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2   0.000      1.000 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2   0.000      1.000 0.000 1.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2   0.000      1.000 0.000 1.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1   0.000      1.000 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2   0.000      1.000 0.000 1.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2   0.000      1.000 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2   0.000      1.000 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1   0.000      1.000 1.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1   0.000      1.000 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2   0.000      1.000 0.000 1.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     1   0.000      1.000 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1   0.000      1.000 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1    p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.999 1.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.997 0.000 1.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.1163      0.980 0.028 0.000 0.972
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.999 1.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.0000      0.999 1.000 0.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.997 0.000 1.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.1163      0.980 0.028 0.000 0.972
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0000      0.997 0.000 1.000 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.1163      0.980 0.028 0.000 0.972
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000      0.999 1.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.1163      0.980 0.028 0.000 0.972
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.1163      0.980 0.028 0.000 0.972
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.997 0.000 1.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.999 1.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.997 0.000 1.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      0.999 1.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      0.999 1.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.997 0.000 1.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.997 0.000 1.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0747      0.987 0.000 0.984 0.016
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.997 0.000 1.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.1163      0.980 0.000 0.972 0.028
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.997 0.000 1.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      0.997 0.000 1.000 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.997 0.000 1.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0000      0.999 1.000 0.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.1163      0.980 0.028 0.000 0.972
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0237      0.995 0.000 0.996 0.004
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.999 1.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.997 0.000 1.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.1163      0.980 0.028 0.000 0.972
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.1860      0.959 0.052 0.000 0.948
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.0000      0.997 0.000 1.000 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.1163      0.980 0.028 0.000 0.972
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.1163      0.980 0.028 0.000 0.972
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.999 1.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.1163      0.980 0.028 0.000 0.972
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0237      0.995 0.000 0.996 0.004
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000      0.997 0.000 1.000 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      0.997 0.000 1.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.999 1.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.1163      0.980 0.028 0.000 0.972
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0000      0.997 0.000 1.000 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.999 1.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000      0.997 0.000 1.000 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.1163      0.980 0.028 0.000 0.972
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.1163      0.980 0.028 0.000 0.972
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.999 1.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      0.997 0.000 1.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000      0.997 0.000 1.000 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.1163      0.980 0.028 0.000 0.972
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.997 0.000 1.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.1163      0.980 0.000 0.972 0.028
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.999 1.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.997 0.000 1.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      0.997 0.000 1.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.4121      0.831 0.168 0.000 0.832
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.997 0.000 1.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      0.997 0.000 1.000 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.997 0.000 1.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.999 1.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      0.997 0.000 1.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.999 1.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      0.997 0.000 1.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.999 1.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      0.997 0.000 1.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      0.997 0.000 1.000 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.997 0.000 1.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.1163      0.980 0.028 0.000 0.972
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.1163      0.980 0.028 0.000 0.972
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.999 1.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000      0.999 1.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.999 1.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000      0.997 0.000 1.000 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.1163      0.980 0.028 0.000 0.972
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.1163      0.980 0.028 0.000 0.972
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.1163      0.980 0.000 0.972 0.028
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.997 0.000 1.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.999 1.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.1163      0.980 0.028 0.000 0.972
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.997 0.000 1.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.0000      0.999 1.000 0.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.997 0.000 1.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.1163      0.980 0.028 0.000 0.972
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      0.999 1.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000      0.999 1.000 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000      0.997 0.000 1.000 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.997 0.000 1.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      0.997 0.000 1.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      0.999 1.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      0.997 0.000 1.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.1163      0.980 0.028 0.000 0.972
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.997 0.000 1.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.1163      0.980 0.000 0.972 0.028
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000      0.997 0.000 1.000 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.999 1.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.999 1.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.1163      0.980 0.028 0.000 0.972
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.997 0.000 1.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      0.999 1.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      0.997 0.000 1.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.999 1.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.997 0.000 1.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.1964      0.937 0.944 0.000 0.056
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.999 1.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.1163      0.980 0.000 0.972 0.028
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.999 1.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.997 0.000 1.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.999 1.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.1163      0.980 0.028 0.000 0.972
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      0.997 0.000 1.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.1031      0.982 0.000 0.976 0.024
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.999 1.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.997 0.000 1.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.1163      0.980 0.028 0.000 0.972
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.999 1.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      0.997 0.000 1.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.1163      0.980 0.028 0.000 0.972
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.1163      0.980 0.028 0.000 0.972
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.999 1.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      0.999 1.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.6215      0.317 0.428 0.000 0.572
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.1163      0.980 0.028 0.000 0.972
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.999 1.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      0.999 1.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.997 0.000 1.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000      0.997 0.000 1.000 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      0.999 1.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      0.997 0.000 1.000 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      0.997 0.000 1.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.999 1.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.997 0.000 1.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.1163      0.980 0.028 0.000 0.972
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      0.997 0.000 1.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000      0.997 0.000 1.000 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.0000      0.999 1.000 0.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.1163      0.980 0.028 0.000 0.972
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      0.997 0.000 1.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.997 0.000 1.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0237      0.995 0.000 0.996 0.004
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.1163      0.980 0.028 0.000 0.972
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.1163      0.980 0.000 0.972 0.028
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.997 0.000 1.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      0.997 0.000 1.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      0.997 0.000 1.000 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.1163      0.980 0.000 0.972 0.028
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.1163      0.980 0.000 0.972 0.028
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.1163      0.980 0.028 0.000 0.972
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      0.997 0.000 1.000 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      0.997 0.000 1.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      0.997 0.000 1.000 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.0000      0.999 1.000 0.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.1163      0.980 0.028 0.000 0.972
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.997 0.000 1.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.4062      0.834 0.164 0.000 0.836
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.1163      0.980 0.028 0.000 0.972

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.0188      0.994 0.996 0.000 0.000 0.004
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.1474      0.858 0.000 0.948 0.000 0.052
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.3024      0.866 0.000 0.148 0.000 0.852
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0188      0.994 0.996 0.000 0.000 0.004
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0188      0.994 0.996 0.000 0.000 0.004
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0188      0.994 0.996 0.000 0.000 0.004
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0592      0.883 0.000 0.984 0.000 0.016
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0469      0.885 0.000 0.988 0.000 0.012
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.4072      0.587 0.000 0.748 0.000 0.252
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.1118      0.970 0.964 0.000 0.000 0.036
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.2216      0.828 0.000 0.908 0.000 0.092
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.2530      0.800 0.000 0.888 0.000 0.112
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.1118      0.952 0.000 0.000 0.964 0.036
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.2345      0.821 0.000 0.100 0.000 0.900
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.1022      0.955 0.000 0.000 0.968 0.032
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0469      0.885 0.000 0.988 0.000 0.012
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.3024      0.866 0.000 0.148 0.000 0.852
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.3975      0.822 0.000 0.240 0.000 0.760
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0188      0.994 0.996 0.000 0.000 0.004
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.3873      0.624 0.000 0.772 0.000 0.228
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.4967      0.461 0.000 0.452 0.000 0.548
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.4072      0.584 0.000 0.748 0.000 0.252
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.1867      0.846 0.000 0.928 0.000 0.072
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0188      0.994 0.996 0.000 0.000 0.004
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.3688      0.669 0.000 0.792 0.000 0.208
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.2021      0.928 0.024 0.000 0.936 0.040
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.3123      0.867 0.000 0.156 0.000 0.844
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.1211      0.869 0.000 0.960 0.000 0.040
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.2921      0.766 0.000 0.860 0.000 0.140
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.4406      0.513 0.000 0.700 0.000 0.300
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0707      0.881 0.000 0.980 0.000 0.020
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.4730      0.355 0.000 0.636 0.000 0.364
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0188      0.994 0.996 0.000 0.000 0.004
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.4103      0.807 0.000 0.256 0.000 0.744
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0707      0.881 0.000 0.980 0.000 0.020
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.2216      0.828 0.000 0.908 0.000 0.092
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.2868      0.779 0.000 0.864 0.000 0.136
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.0817      0.980 0.976 0.000 0.000 0.024
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0336      0.970 0.008 0.000 0.992 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0188      0.994 0.996 0.000 0.000 0.004
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0336      0.992 0.992 0.000 0.000 0.008
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.3074      0.751 0.000 0.848 0.000 0.152
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.2281      0.825 0.000 0.904 0.000 0.096
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.4713      0.671 0.000 0.360 0.000 0.640
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0188      0.994 0.996 0.000 0.000 0.004
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0188      0.994 0.996 0.000 0.000 0.004
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.2319      0.927 0.924 0.000 0.040 0.036
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.3764      0.721 0.000 0.784 0.000 0.216
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.2868      0.861 0.000 0.000 0.864 0.136
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.3801      0.648 0.000 0.780 0.000 0.220
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0469      0.885 0.000 0.988 0.000 0.012
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.2921      0.766 0.000 0.860 0.000 0.140
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0188      0.994 0.996 0.000 0.000 0.004
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.5713      0.403 0.360 0.000 0.604 0.036
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0336      0.992 0.992 0.000 0.000 0.008
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.3444      0.710 0.000 0.816 0.000 0.184
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0188      0.994 0.996 0.000 0.000 0.004
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.4331      0.494 0.000 0.712 0.000 0.288
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.995 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0469      0.885 0.000 0.988 0.000 0.012
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.3074      0.867 0.000 0.152 0.000 0.848
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.1118      0.970 0.964 0.000 0.000 0.036
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.3172      0.741 0.000 0.840 0.000 0.160
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.4134      0.647 0.000 0.740 0.000 0.260
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0817      0.879 0.000 0.976 0.000 0.024
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.3569      0.688 0.000 0.804 0.000 0.196
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.3123      0.752 0.000 0.844 0.000 0.156
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.2281      0.825 0.000 0.904 0.000 0.096
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.2281      0.825 0.000 0.904 0.000 0.096
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.4994     -0.250 0.000 0.520 0.000 0.480
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.2921      0.766 0.000 0.860 0.000 0.140
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      0.889 0.000 1.000 0.000 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.0469      0.989 0.988 0.000 0.000 0.012
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      0.977 0.000 0.000 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.2281      0.830 0.000 0.904 0.000 0.096
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.1867      0.896 0.072 0.000 0.928 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      0.977 0.000 0.000 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000     0.5837 0.000 1.000 0.000 0.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.2966     0.8292 0.816 0.000 0.000 0.000 0.184
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.6279     0.1248 0.000 0.504 0.000 0.328 0.168
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.0404     0.6024 0.000 0.012 0.000 0.988 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0162     0.9671 0.996 0.000 0.000 0.000 0.004
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000     0.5837 0.000 1.000 0.000 0.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.1251     0.5422 0.000 0.956 0.000 0.036 0.008
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000     0.5837 0.000 1.000 0.000 0.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000     0.5837 0.000 1.000 0.000 0.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.2920     0.4815 0.000 0.852 0.000 0.016 0.132
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000     0.5837 0.000 1.000 0.000 0.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.2583     0.4875 0.000 0.864 0.000 0.004 0.132
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000     0.5837 0.000 1.000 0.000 0.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.6269     0.2803 0.000 0.324 0.000 0.508 0.168
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     0.5837 0.000 1.000 0.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.3521     0.7782 0.764 0.000 0.004 0.000 0.232
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.4420    -0.3991 0.000 0.548 0.000 0.004 0.448
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     4  0.6178     0.3800 0.000 0.296 0.000 0.536 0.168
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.3305     0.7843 0.000 0.000 0.776 0.000 0.224
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.0451     0.5946 0.000 0.004 0.000 0.988 0.008
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.3242     0.7913 0.000 0.000 0.784 0.000 0.216
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.2471     0.4840 0.000 0.864 0.000 0.000 0.136
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0609     0.6057 0.000 0.020 0.000 0.980 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.4808     0.4819 0.000 0.724 0.000 0.108 0.168
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.1341     0.6022 0.000 0.056 0.000 0.944 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.6372     0.0825 0.000 0.456 0.000 0.376 0.168
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.2516     0.5319 0.000 0.860 0.000 0.000 0.140
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.3913     0.3700 0.000 0.324 0.000 0.676 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     4  0.6178     0.3701 0.000 0.296 0.000 0.536 0.168
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.4390    -0.3518 0.000 0.568 0.000 0.004 0.428
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000     0.5837 0.000 1.000 0.000 0.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     4  0.6381     0.1953 0.000 0.384 0.000 0.448 0.168
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.3508     0.7604 0.000 0.000 0.748 0.000 0.252
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.5155     0.4600 0.000 0.692 0.000 0.140 0.168
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.1668     0.5874 0.000 0.032 0.000 0.940 0.028
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     5  0.5692     0.1111 0.000 0.448 0.000 0.080 0.472
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.6191     0.2553 0.000 0.536 0.000 0.292 0.172
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.3461     0.5286 0.000 0.224 0.000 0.772 0.004
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.5575     0.4194 0.000 0.644 0.000 0.188 0.168
#> 1339CB34-B996-470A-9710-0649DD05D18A     4  0.6115     0.3904 0.000 0.280 0.000 0.552 0.168
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.3579     0.2667 0.000 0.756 0.000 0.004 0.240
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0162     0.9671 0.996 0.000 0.000 0.000 0.004
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.0404     0.6014 0.000 0.012 0.000 0.988 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.2629     0.4783 0.000 0.860 0.000 0.004 0.136
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.4403    -0.3708 0.000 0.560 0.000 0.004 0.436
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.6796    -0.2719 0.000 0.376 0.000 0.328 0.296
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.2966     0.8292 0.816 0.000 0.000 0.000 0.184
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000     0.5837 0.000 1.000 0.000 0.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0290     0.9558 0.000 0.000 0.992 0.000 0.008
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0162     0.9671 0.996 0.000 0.000 0.000 0.004
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.6245     0.2287 0.000 0.516 0.000 0.316 0.168
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0162     0.5822 0.000 0.996 0.000 0.000 0.004
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.5271     0.4523 0.000 0.680 0.000 0.152 0.168
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0162     0.9669 0.996 0.000 0.000 0.000 0.004
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.5344     0.4554 0.000 0.672 0.000 0.160 0.168
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000     0.5837 0.000 1.000 0.000 0.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     5  0.4760     0.5455 0.000 0.416 0.000 0.020 0.564
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.3837     0.3879 0.000 0.308 0.000 0.692 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000     0.5837 0.000 1.000 0.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.5002     0.4808 0.000 0.708 0.000 0.132 0.160
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000     0.5837 0.000 1.000 0.000 0.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.5158     0.6684 0.676 0.000 0.100 0.000 0.224
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     5  0.6036     0.2630 0.000 0.212 0.000 0.208 0.580
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.1845     0.5745 0.000 0.928 0.000 0.056 0.016
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.4916     0.7089 0.000 0.000 0.716 0.160 0.124
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     4  0.5962     0.4332 0.000 0.248 0.000 0.584 0.168
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.4498     0.4331 0.000 0.688 0.000 0.032 0.280
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000     0.5837 0.000 1.000 0.000 0.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.6131     0.2729 0.000 0.548 0.000 0.284 0.168
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0290     0.9651 0.992 0.000 0.000 0.000 0.008
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.6026     0.5203 0.192 0.000 0.580 0.000 0.228
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0162     0.9671 0.996 0.000 0.000 0.000 0.004
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000     0.5837 0.000 1.000 0.000 0.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.6372     0.0825 0.000 0.456 0.000 0.376 0.168
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.6232     0.1303 0.000 0.480 0.000 0.372 0.148
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.2377     0.5500 0.000 0.872 0.000 0.128 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9691 1.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.5074     0.4660 0.000 0.700 0.000 0.132 0.168
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.2719     0.4718 0.000 0.852 0.000 0.004 0.144
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0609     0.6057 0.000 0.020 0.000 0.980 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.4793     0.7031 0.700 0.000 0.068 0.000 0.232
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.6147     0.2673 0.000 0.544 0.000 0.288 0.168
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000     0.5837 0.000 1.000 0.000 0.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     5  0.6500     0.1744 0.000 0.236 0.000 0.276 0.488
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.3086     0.4019 0.000 0.816 0.000 0.004 0.180
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000     0.5837 0.000 1.000 0.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.5903    -0.2332 0.000 0.548 0.000 0.332 0.120
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.6327     0.1593 0.000 0.484 0.000 0.348 0.168
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     5  0.4774     0.5434 0.000 0.424 0.000 0.020 0.556
#> 633D24E2-63CE-499F-A448-765AAAEF1977     5  0.4767     0.5462 0.000 0.420 0.000 0.020 0.560
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     4  0.5361     0.4965 0.000 0.144 0.000 0.668 0.188
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.6131     0.2729 0.000 0.548 0.000 0.284 0.168
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.5074     0.4755 0.000 0.700 0.000 0.132 0.168
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.2929     0.8320 0.820 0.000 0.000 0.000 0.180
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.5396    -0.3587 0.000 0.560 0.000 0.064 0.376
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.2573     0.8395 0.104 0.000 0.880 0.000 0.016
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000     0.9606 0.000 0.000 1.000 0.000 0.000

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0458      0.955 0.984 0.000 0.000 0.000 0.000 0.016
#> 11C93F5A-2187-484A-805D-BB696C1B9032     5  0.6014      0.753 0.000 0.280 0.000 0.288 0.432 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      0.936 0.000 0.000 1.000 0.000 0.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0260      0.957 0.992 0.000 0.000 0.000 0.000 0.008
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     6  0.3747      0.166 0.396 0.000 0.000 0.000 0.000 0.604
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0717      0.717 0.000 0.976 0.000 0.008 0.016 0.000
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#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.1814      0.606 0.000 0.900 0.000 0.100 0.000 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     5  0.2066      0.513 0.000 0.040 0.000 0.052 0.908 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     5  0.1863      0.510 0.000 0.036 0.000 0.044 0.920 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0713      0.927 0.000 0.000 0.972 0.000 0.000 0.028
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.3108      0.564 0.000 0.828 0.000 0.128 0.044 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0790      0.713 0.000 0.968 0.000 0.032 0.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.2629      0.654 0.000 0.872 0.000 0.060 0.068 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     6  0.2048      0.559 0.120 0.000 0.000 0.000 0.000 0.880
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      0.936 0.000 0.000 1.000 0.000 0.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     5  0.4032      0.313 0.000 0.420 0.000 0.008 0.572 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     6  0.3782      0.164 0.000 0.000 0.412 0.000 0.000 0.588
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      0.936 0.000 0.000 1.000 0.000 0.000 0.000

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-SD-mclust-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-SD-mclust-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-SD-mclust-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-SD-mclust-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-SD-mclust-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-SD-mclust-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-SD-mclust-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-SD-mclust-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-SD-mclust-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-SD-mclust-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-SD-mclust-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-SD-mclust-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-SD-mclust-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-SD-mclust-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-SD-mclust-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-SD-mclust-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-SD-mclust-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-SD-mclust-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-SD-mclust-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-SD-mclust-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk SD-mclust-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-SD-mclust-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-SD-mclust-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-SD-mclust-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-SD-mclust-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-SD-mclust-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk SD-mclust-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


SD:NMF**

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["SD", "NMF"]
# you can also extract it by
# res = res_list["SD:NMF"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#>   Subgroups are detected by 'NMF' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 4.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk SD-NMF-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk SD-NMF-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 1.000           0.987       0.995         0.5035 0.497   0.497
#> 3 3 1.000           0.984       0.994         0.2622 0.850   0.704
#> 4 4 1.000           0.957       0.979         0.1138 0.905   0.747
#> 5 5 0.843           0.838       0.871         0.0678 0.959   0.860
#> 6 6 0.833           0.835       0.887         0.0577 0.900   0.636

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 4
#> attr(,"optional")
#> [1] 2 3

There is also optional best \(k\) = 2 3 that is worth to check.

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette    p1    p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.992 1.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.997 0.000 1.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1  0.0000      0.992 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.992 1.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.0000      0.992 1.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.997 0.000 1.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1  0.0000      0.992 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0000      0.997 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1  0.0000      0.992 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000      0.992 1.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     1  0.0000      0.992 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     1  0.0000      0.992 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.997 0.000 1.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.992 1.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.997 0.000 1.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      0.992 1.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      0.992 1.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.997 0.000 1.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.997 0.000 1.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.997 0.000 1.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.997 0.000 1.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.997 0.000 1.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.997 0.000 1.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      0.997 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.997 0.000 1.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0000      0.992 1.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1  0.0000      0.992 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.997 0.000 1.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.992 1.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.997 0.000 1.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1  0.0000      0.992 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1  0.0000      0.992 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.0000      0.997 0.000 1.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1  0.0000      0.992 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1  0.0000      0.992 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.992 1.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1  0.0000      0.992 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.997 0.000 1.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000      0.997 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      0.997 0.000 1.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.992 1.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1  0.0000      0.992 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0000      0.997 0.000 1.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.992 1.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000      0.997 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1  0.0000      0.992 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1  0.0000      0.992 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.992 1.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      0.997 0.000 1.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000      0.997 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1  0.0000      0.992 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.997 0.000 1.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.997 0.000 1.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.4690      0.886 0.900 0.100
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.997 0.000 1.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      0.997 0.000 1.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1  0.0000      0.992 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.997 0.000 1.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      0.997 0.000 1.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.997 0.000 1.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.992 1.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      0.997 0.000 1.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.992 1.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      0.997 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.992 1.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      0.997 0.000 1.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      0.997 0.000 1.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.997 0.000 1.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     1  0.0000      0.992 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1  0.0000      0.992 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.2043      0.962 0.968 0.032
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000      0.992 1.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.992 1.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000      0.997 0.000 1.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1  0.0000      0.992 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1  0.0000      0.992 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.997 0.000 1.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.997 0.000 1.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.992 1.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     1  0.0000      0.992 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.997 0.000 1.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.0000      0.992 1.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.997 0.000 1.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1  0.0000      0.992 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      0.992 1.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000      0.992 1.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000      0.997 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.997 0.000 1.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      0.997 0.000 1.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      0.992 1.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      0.997 0.000 1.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1  0.0000      0.992 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.997 0.000 1.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.997 0.000 1.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000      0.997 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.992 1.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     2  0.6048      0.826 0.148 0.852
#> 10161FA0-E389-4D98-B854-098AF908C898     1  0.0000      0.992 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.997 0.000 1.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      0.992 1.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      0.997 0.000 1.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.992 1.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.997 0.000 1.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.0000      0.992 1.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.992 1.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      0.997 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.992 1.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.997 0.000 1.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0938      0.981 0.988 0.012
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1  0.0000      0.992 1.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      0.997 0.000 1.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.997 0.000 1.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.992 1.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.997 0.000 1.000
#> 86689648-2C4A-456F-A551-B9731400846C     1  0.0000      0.992 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.992 1.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      0.997 0.000 1.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     1  0.0000      0.992 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1  0.0000      0.992 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.9833      0.264 0.576 0.424
#> EF68CF6E-F46D-477A-B125-153DDE949C07     2  0.4022      0.912 0.080 0.920
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.0000      0.992 1.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1  0.0000      0.992 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.992 1.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     2  0.0672      0.989 0.008 0.992
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.997 0.000 1.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000      0.997 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      0.992 1.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      0.997 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      0.997 0.000 1.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.1633      0.970 0.976 0.024
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.997 0.000 1.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1  0.0000      0.992 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      0.997 0.000 1.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000      0.997 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.0000      0.992 1.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1  0.0000      0.992 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      0.997 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.997 0.000 1.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.997 0.000 1.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1  0.0000      0.992 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.997 0.000 1.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.997 0.000 1.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      0.997 0.000 1.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      0.997 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.997 0.000 1.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.997 0.000 1.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1  0.0000      0.992 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      0.997 0.000 1.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      0.997 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      0.997 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.0000      0.992 1.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1  0.0000      0.992 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.997 0.000 1.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     1  0.0000      0.992 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1  0.0000      0.992 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1 p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.9913 1.000  0 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000     1.0000 0.000  1 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000     0.9838 0.000  0 1.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9913 1.000  0 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     3  0.6299     0.0921 0.476  0 0.524
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000     1.0000 0.000  1 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000     0.9838 0.000  0 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0000     1.0000 0.000  1 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000     0.9838 0.000  0 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000     0.9913 1.000  0 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000     0.9838 0.000  0 1.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000     0.9838 0.000  0 1.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000     1.0000 0.000  1 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9913 1.000  0 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000     1.0000 0.000  1 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000     0.9913 1.000  0 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000     0.9913 1.000  0 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000     1.0000 0.000  1 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000     1.0000 0.000  1 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     1.0000 0.000  1 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000     1.0000 0.000  1 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     1.0000 0.000  1 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000     1.0000 0.000  1 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000     1.0000 0.000  1 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     1.0000 0.000  1 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.3412     0.8567 0.876  0 0.124
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.9838 0.000  0 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000     1.0000 0.000  1 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9913 1.000  0 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000     1.0000 0.000  1 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000     0.9838 0.000  0 1.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0000     0.9838 0.000  0 1.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.0000     1.0000 0.000  1 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9838 0.000  0 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0000     0.9838 0.000  0 1.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9913 1.000  0 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000     0.9838 0.000  0 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     1.0000 0.000  1 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000     1.0000 0.000  1 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000     1.0000 0.000  1 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9913 1.000  0 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000     0.9838 0.000  0 1.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0000     1.0000 0.000  1 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000     0.9913 1.000  0 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000     1.0000 0.000  1 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9838 0.000  0 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000     0.9838 0.000  0 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9913 1.000  0 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000     1.0000 0.000  1 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000     1.0000 0.000  1 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9838 0.000  0 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000     1.0000 0.000  1 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     1.0000 0.000  1 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9913 1.000  0 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000     1.0000 0.000  1 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000     1.0000 0.000  1 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000     0.9838 0.000  0 1.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000     1.0000 0.000  1 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000     1.0000 0.000  1 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     1.0000 0.000  1 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9913 1.000  0 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000     1.0000 0.000  1 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9913 1.000  0 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000     1.0000 0.000  1 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000     0.9913 1.000  0 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000     1.0000 0.000  1 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000     1.0000 0.000  1 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000     1.0000 0.000  1 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9838 0.000  0 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000     0.9838 0.000  0 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9913 1.000  0 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000     0.9913 1.000  0 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9913 1.000  0 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000     1.0000 0.000  1 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.9838 0.000  0 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.9838 0.000  0 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000     1.0000 0.000  1 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000     1.0000 0.000  1 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000     0.9913 1.000  0 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.9838 0.000  0 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000     1.0000 0.000  1 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     3  0.3879     0.8131 0.152  0 0.848
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000     1.0000 0.000  1 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000     0.9838 0.000  0 1.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000     0.9913 1.000  0 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000     0.9913 1.000  0 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000     1.0000 0.000  1 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000     1.0000 0.000  1 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000     1.0000 0.000  1 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000     0.9913 1.000  0 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000     1.0000 0.000  1 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9838 0.000  0 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000     1.0000 0.000  1 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000     1.0000 0.000  1 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000     1.0000 0.000  1 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9913 1.000  0 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9913 1.000  0 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9838 0.000  0 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000     1.0000 0.000  1 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000     0.9913 1.000  0 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000     1.0000 0.000  1 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000     0.9913 1.000  0 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000     1.0000 0.000  1 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.4555     0.7509 0.800  0 0.200
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9913 1.000  0 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000     1.0000 0.000  1 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9913 1.000  0 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000     1.0000 0.000  1 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9913 1.000  0 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000     0.9838 0.000  0 1.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000     1.0000 0.000  1 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     1.0000 0.000  1 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9913 1.000  0 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000     1.0000 0.000  1 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000     0.9838 0.000  0 1.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9913 1.000  0 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000     1.0000 0.000  1 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000     0.9838 0.000  0 1.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000     0.9838 0.000  0 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9913 1.000  0 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9913 1.000  0 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0000     0.9838 0.000  0 1.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.9838 0.000  0 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000     0.9913 1.000  0 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000     0.9913 1.000  0 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000     1.0000 0.000  1 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000     1.0000 0.000  1 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.9913 1.000  0 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000     1.0000 0.000  1 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000     1.0000 0.000  1 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9913 1.000  0 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000     1.0000 0.000  1 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000     0.9838 0.000  0 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000     1.0000 0.000  1 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000     1.0000 0.000  1 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.0000     0.9838 0.000  0 1.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000     0.9838 0.000  0 1.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000     1.0000 0.000  1 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000     1.0000 0.000  1 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     1.0000 0.000  1 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000     0.9838 0.000  0 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000     1.0000 0.000  1 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000     1.0000 0.000  1 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000     1.0000 0.000  1 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000     1.0000 0.000  1 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     1.0000 0.000  1 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000     1.0000 0.000  1 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000     0.9838 0.000  0 1.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000     1.0000 0.000  1 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000     1.0000 0.000  1 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000     1.0000 0.000  1 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.0592     0.9727 0.012  0 0.988
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000     0.9838 0.000  0 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000     1.0000 0.000  1 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000     0.9838 0.000  0 1.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000     0.9838 0.000  0 1.000

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0817      0.977 0.000 0.000 0.976 0.024
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.4746      0.407 0.632 0.000 0.000 0.368
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.0817      0.928 0.000 0.024 0.000 0.976
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0817      0.977 0.000 0.000 0.976 0.024
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0817      0.977 0.000 0.000 0.976 0.024
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0707      0.977 0.000 0.000 0.980 0.020
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.0817      0.928 0.000 0.024 0.000 0.976
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.1022      0.942 0.968 0.000 0.032 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0817      0.977 0.000 0.000 0.976 0.024
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.0817      0.928 0.000 0.024 0.000 0.976
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0817      0.977 0.000 0.000 0.976 0.024
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0817      0.928 0.000 0.024 0.000 0.976
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0707      0.977 0.000 0.000 0.980 0.020
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.2149      0.908 0.000 0.088 0.000 0.912
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.2149      0.908 0.000 0.088 0.000 0.912
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0817      0.977 0.000 0.000 0.976 0.024
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.0817      0.928 0.000 0.024 0.000 0.976
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.3726      0.703 0.000 0.788 0.000 0.212
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.0817      0.928 0.000 0.024 0.000 0.976
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     4  0.1059      0.899 0.016 0.000 0.012 0.972
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0188      0.979 0.000 0.000 0.996 0.004
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.4804      0.466 0.000 0.384 0.000 0.616
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.0817      0.928 0.000 0.024 0.000 0.976
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0707      0.970 0.000 0.980 0.000 0.020
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.5355      0.418 0.360 0.000 0.620 0.020
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0817      0.977 0.000 0.000 0.976 0.024
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0817      0.977 0.000 0.000 0.976 0.024
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.1867      0.915 0.000 0.072 0.000 0.928
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.3688      0.789 0.000 0.208 0.000 0.792
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.1022      0.957 0.000 0.968 0.000 0.032
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0817      0.977 0.000 0.000 0.976 0.024
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0817      0.928 0.000 0.024 0.000 0.976
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.0817      0.977 0.000 0.000 0.976 0.024
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0817      0.977 0.000 0.000 0.976 0.024
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0592      0.978 0.000 0.000 0.984 0.016
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.2530      0.890 0.000 0.112 0.000 0.888
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0817      0.977 0.000 0.000 0.976 0.024
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.4356      0.544 0.000 0.708 0.000 0.292
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.5386      0.420 0.632 0.000 0.344 0.024
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0817      0.977 0.000 0.000 0.976 0.024
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.990 0.000 1.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      0.979 0.000 0.000 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0817      0.977 0.000 0.000 0.976 0.024

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.3561      0.784 0.000 0.740 0.000 0.000 0.260
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.1792      0.844 0.000 0.000 0.916 0.000 0.084
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.3508      0.667 0.748 0.000 0.000 0.252 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.1792      0.775 0.000 0.916 0.000 0.000 0.084
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0404      0.933 0.000 0.000 0.988 0.000 0.012
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.1732      0.794 0.000 0.000 0.000 0.920 0.080
#> 211FD575-40D6-4E44-818F-3A382F4634DA     5  0.4242      0.929 0.000 0.000 0.428 0.000 0.572
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0162      0.983 0.996 0.000 0.000 0.000 0.004
#> 12078907-435A-46C9-96C1-24E71BF4602D     5  0.4242      0.929 0.000 0.000 0.428 0.000 0.572
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0794      0.923 0.000 0.000 0.972 0.000 0.028
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.3636      0.780 0.000 0.728 0.000 0.000 0.272
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.3636      0.780 0.000 0.728 0.000 0.000 0.272
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.3636      0.780 0.000 0.728 0.000 0.000 0.272
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.3612      0.782 0.000 0.732 0.000 0.000 0.268
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.1197      0.788 0.000 0.952 0.000 0.000 0.048
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.3612      0.782 0.000 0.732 0.000 0.000 0.268
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0963      0.790 0.000 0.964 0.000 0.000 0.036
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.3636      0.780 0.000 0.728 0.000 0.000 0.272
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.3177      0.736 0.000 0.000 0.000 0.792 0.208
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0290      0.800 0.000 0.992 0.000 0.000 0.008
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0609      0.965 0.980 0.000 0.020 0.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0290      0.939 0.000 0.000 0.992 0.000 0.008
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.3586      0.783 0.000 0.736 0.000 0.000 0.264
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.2230      0.759 0.000 0.884 0.000 0.000 0.116
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      0.942 0.000 0.000 1.000 0.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     5  0.4242      0.929 0.000 0.000 0.428 0.000 0.572
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.0290      0.785 0.000 0.000 0.000 0.992 0.008
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0162      0.940 0.000 0.000 0.996 0.000 0.004
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     5  0.4242      0.929 0.000 0.000 0.428 0.000 0.572
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.942 0.000 0.000 1.000 0.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0703      0.794 0.000 0.976 0.000 0.000 0.024
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0162      0.785 0.000 0.000 0.000 0.996 0.004
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.3586      0.783 0.000 0.736 0.000 0.000 0.264
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0794      0.923 0.000 0.000 0.972 0.000 0.028
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.5827      0.583 0.000 0.260 0.000 0.596 0.144
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.3203      0.767 0.000 0.012 0.000 0.820 0.168
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0162      0.940 0.000 0.000 0.996 0.000 0.004
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     5  0.4242      0.929 0.000 0.000 0.428 0.000 0.572
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.3913      0.765 0.000 0.676 0.000 0.000 0.324
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.1732      0.794 0.000 0.000 0.000 0.920 0.080
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.942 0.000 0.000 1.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.2074      0.766 0.000 0.896 0.000 0.000 0.104
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.1792      0.775 0.000 0.916 0.000 0.000 0.084
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.3636      0.780 0.000 0.728 0.000 0.000 0.272
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.3741      0.782 0.000 0.732 0.000 0.004 0.264
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000      0.942 0.000 0.000 1.000 0.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.2516      0.743 0.000 0.860 0.000 0.000 0.140
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.2648      0.735 0.000 0.848 0.000 0.000 0.152
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.2127      0.764 0.000 0.892 0.000 0.000 0.108
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.2561      0.740 0.000 0.856 0.000 0.000 0.144
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.2929      0.752 0.000 0.820 0.000 0.000 0.180
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0510      0.801 0.000 0.984 0.000 0.000 0.016
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.4074      0.369 0.000 0.636 0.000 0.364 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.3636      0.780 0.000 0.728 0.000 0.000 0.272
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0290      0.939 0.000 0.000 0.992 0.000 0.008
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0404      0.933 0.000 0.000 0.988 0.000 0.012
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0290      0.980 0.992 0.000 0.000 0.000 0.008
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.1697      0.781 0.000 0.060 0.000 0.932 0.008
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0290      0.937 0.000 0.000 0.992 0.000 0.008
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0162      0.940 0.000 0.000 0.996 0.000 0.004
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.1965      0.804 0.000 0.904 0.000 0.000 0.096
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.3586      0.783 0.000 0.736 0.000 0.000 0.264
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0290      0.939 0.000 0.000 0.992 0.000 0.008
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.1732      0.777 0.000 0.920 0.000 0.000 0.080
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     4  0.0404      0.781 0.012 0.000 0.000 0.988 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.1732      0.804 0.000 0.920 0.000 0.000 0.080
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0703      0.927 0.000 0.000 0.976 0.000 0.024
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0609      0.971 0.980 0.000 0.000 0.000 0.020
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.6191      0.511 0.000 0.244 0.000 0.552 0.204
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.2127      0.764 0.000 0.892 0.000 0.000 0.108
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.1544      0.781 0.000 0.932 0.000 0.000 0.068
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.3835      0.685 0.000 0.744 0.000 0.244 0.012
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.942 0.000 0.000 1.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.3636      0.780 0.000 0.728 0.000 0.000 0.272
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.3612      0.782 0.000 0.732 0.000 0.000 0.268
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.0703      0.783 0.000 0.000 0.000 0.976 0.024
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.942 0.000 0.000 1.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0880      0.792 0.000 0.968 0.000 0.000 0.032
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.3123      0.740 0.000 0.828 0.000 0.160 0.012
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0510      0.972 0.984 0.000 0.000 0.000 0.016
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.3636      0.780 0.000 0.728 0.000 0.000 0.272
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.3381      0.716 0.808 0.000 0.176 0.000 0.016
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.2561      0.740 0.000 0.856 0.000 0.000 0.144
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.3636      0.780 0.000 0.728 0.000 0.000 0.272
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0290      0.937 0.000 0.000 0.992 0.000 0.008
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.2179      0.762 0.000 0.888 0.000 0.000 0.112
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.2127      0.764 0.000 0.892 0.000 0.000 0.108
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.3612      0.782 0.000 0.732 0.000 0.000 0.268
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0404      0.933 0.000 0.000 0.988 0.000 0.012
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.3932      0.760 0.000 0.672 0.000 0.000 0.328
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.1270      0.894 0.000 0.000 0.948 0.000 0.052
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     5  0.4242      0.929 0.000 0.000 0.428 0.000 0.572
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     5  0.4242      0.929 0.000 0.000 0.428 0.000 0.572
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.942 0.000 0.000 1.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.2690      0.800 0.000 0.844 0.000 0.000 0.156
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.3177      0.736 0.000 0.000 0.000 0.792 0.208
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.6242      0.351 0.000 0.408 0.000 0.448 0.144
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.5282      0.699 0.000 0.644 0.000 0.088 0.268
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.986 1.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.1478      0.783 0.000 0.936 0.000 0.000 0.064
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     5  0.4242      0.929 0.000 0.000 0.428 0.000 0.572
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.3636      0.780 0.000 0.728 0.000 0.000 0.272
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0000      0.783 0.000 0.000 0.000 1.000 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     5  0.4256      0.915 0.000 0.000 0.436 0.000 0.564
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     5  0.4242      0.929 0.000 0.000 0.428 0.000 0.572
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.2561      0.740 0.000 0.856 0.000 0.000 0.144
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.3612      0.782 0.000 0.732 0.000 0.000 0.268
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.2230      0.759 0.000 0.884 0.000 0.000 0.116
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.1965      0.821 0.000 0.000 0.904 0.000 0.096
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.1341      0.804 0.000 0.944 0.000 0.000 0.056
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.1270      0.803 0.000 0.948 0.000 0.000 0.052
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.3636      0.780 0.000 0.728 0.000 0.000 0.272
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.1965      0.796 0.000 0.024 0.000 0.924 0.052
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0963      0.804 0.000 0.964 0.000 0.000 0.036
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.3561      0.785 0.000 0.740 0.000 0.000 0.260
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.4219     -0.528 0.000 0.000 0.584 0.000 0.416
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.3612      0.782 0.000 0.732 0.000 0.000 0.268
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.2719      0.737 0.000 0.852 0.000 0.004 0.144
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     4  0.6710      0.148 0.000 0.316 0.000 0.420 0.264
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     5  0.5940      0.458 0.284 0.000 0.144 0.000 0.572
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.1732      0.851 0.000 0.000 0.920 0.000 0.080
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0404      0.801 0.000 0.988 0.000 0.000 0.012
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0162      0.941 0.000 0.000 0.996 0.000 0.004
#> 5F1797CC-C35C-44D4-867B-9824FE037552     5  0.4242      0.929 0.000 0.000 0.428 0.000 0.572

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     5  0.2513    0.88584 0.000 0.140 0.000 0.000 0.852 0.008
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.2234    0.87385 0.000 0.000 0.872 0.000 0.004 0.124
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.1957    0.87601 0.888 0.000 0.000 0.112 0.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.1863    0.81465 0.000 0.896 0.000 0.000 0.104 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0146    0.96759 0.000 0.000 0.996 0.000 0.004 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.4308    0.69895 0.000 0.024 0.000 0.736 0.196 0.044
#> 211FD575-40D6-4E44-818F-3A382F4634DA     6  0.1501    0.93818 0.000 0.000 0.076 0.000 0.000 0.924
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.1908    0.89973 0.900 0.000 0.004 0.000 0.096 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     6  0.1501    0.93818 0.000 0.000 0.076 0.000 0.000 0.924
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.1152    0.95203 0.000 0.000 0.952 0.000 0.004 0.044
#> 1709294C-7194-493D-AF5C-574927F57C0C     5  0.2219    0.88853 0.000 0.136 0.000 0.000 0.864 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     5  0.2135    0.88881 0.000 0.128 0.000 0.000 0.872 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     5  0.2278    0.88876 0.000 0.128 0.000 0.000 0.868 0.004
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     5  0.2260    0.88708 0.000 0.140 0.000 0.000 0.860 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.2697    0.78730 0.000 0.812 0.000 0.000 0.188 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     5  0.2219    0.88853 0.000 0.136 0.000 0.000 0.864 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.2854    0.77526 0.000 0.792 0.000 0.000 0.208 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     5  0.2278    0.88742 0.000 0.128 0.000 0.004 0.868 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     5  0.3843   -0.00526 0.000 0.000 0.000 0.452 0.548 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.3101    0.74765 0.000 0.756 0.000 0.000 0.244 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0865    0.95119 0.964 0.000 0.036 0.000 0.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0603    0.96753 0.000 0.000 0.980 0.000 0.004 0.016
#> 75565A38-EC23-4052-8D31-903C601F64D5     5  0.2553    0.88233 0.000 0.144 0.000 0.000 0.848 0.008
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.1007    0.80026 0.000 0.956 0.000 0.000 0.044 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0260    0.96992 0.000 0.000 0.992 0.000 0.000 0.008
#> E6F801F4-9289-4623-B7D9-60CA56C71683     6  0.1501    0.93818 0.000 0.000 0.076 0.000 0.000 0.924
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.2053    0.70916 0.000 0.000 0.004 0.888 0.108 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0146    0.96759 0.000 0.000 0.996 0.000 0.004 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     6  0.1501    0.93818 0.000 0.000 0.076 0.000 0.000 0.924
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0291    0.96917 0.000 0.000 0.992 0.000 0.004 0.004
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.2912    0.76912 0.000 0.784 0.000 0.000 0.216 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0146    0.73673 0.000 0.000 0.000 0.996 0.004 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     5  0.2260    0.88708 0.000 0.140 0.000 0.000 0.860 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.1219    0.94914 0.000 0.000 0.948 0.000 0.004 0.048
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.4117    0.45377 0.000 0.752 0.000 0.184 0.016 0.048
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.5617    0.36522 0.000 0.060 0.000 0.516 0.384 0.040
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0146    0.96759 0.000 0.000 0.996 0.000 0.004 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     6  0.1501    0.93818 0.000 0.000 0.076 0.000 0.000 0.924
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     5  0.4326    0.67361 0.000 0.300 0.000 0.000 0.656 0.044
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.3411    0.74472 0.000 0.032 0.000 0.836 0.088 0.044
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0260    0.96992 0.000 0.000 0.992 0.000 0.000 0.008
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.1387    0.80865 0.000 0.932 0.000 0.000 0.068 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.2092    0.81065 0.000 0.876 0.000 0.000 0.124 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     5  0.2135    0.88881 0.000 0.128 0.000 0.000 0.872 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     5  0.0790    0.78082 0.000 0.032 0.000 0.000 0.968 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0405    0.96983 0.000 0.000 0.988 0.000 0.004 0.008
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0858    0.78921 0.000 0.968 0.000 0.000 0.028 0.004
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.3272    0.57156 0.000 0.824 0.004 0.000 0.124 0.048
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.1327    0.80891 0.000 0.936 0.000 0.000 0.064 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.1549    0.76556 0.000 0.936 0.000 0.000 0.020 0.044
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.2860    0.67771 0.000 0.852 0.000 0.000 0.100 0.048
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.3126    0.73976 0.000 0.752 0.000 0.000 0.248 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.4518    0.44208 0.000 0.604 0.000 0.352 0.044 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     5  0.2278    0.88876 0.000 0.128 0.000 0.000 0.868 0.004
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0363    0.96940 0.000 0.000 0.988 0.000 0.000 0.012
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0632    0.95566 0.000 0.000 0.976 0.000 0.024 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.3485    0.82097 0.824 0.032 0.004 0.000 0.120 0.020
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.5083    0.58732 0.000 0.244 0.000 0.632 0.120 0.004
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0146    0.96759 0.000 0.000 0.996 0.000 0.004 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0291    0.96918 0.000 0.000 0.992 0.000 0.004 0.004
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.4348    0.38660 0.000 0.560 0.000 0.000 0.416 0.024
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     5  0.3012    0.81992 0.000 0.196 0.000 0.000 0.796 0.008
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0603    0.96753 0.000 0.000 0.980 0.000 0.004 0.016
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.1957    0.81305 0.000 0.888 0.000 0.000 0.112 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     4  0.0632    0.73098 0.024 0.000 0.000 0.976 0.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.4301    0.45328 0.000 0.584 0.000 0.000 0.392 0.024
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.1007    0.95395 0.000 0.000 0.956 0.000 0.000 0.044
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.3856    0.79626 0.804 0.032 0.004 0.000 0.120 0.040
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.6700    0.43410 0.000 0.344 0.000 0.408 0.200 0.048
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.1327    0.80881 0.000 0.936 0.000 0.000 0.064 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.2703    0.79488 0.000 0.824 0.000 0.004 0.172 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     4  0.5381    0.23967 0.000 0.280 0.000 0.568 0.152 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0260    0.96992 0.000 0.000 0.992 0.000 0.000 0.008
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     5  0.2219    0.88853 0.000 0.136 0.000 0.000 0.864 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     5  0.2513    0.88532 0.000 0.140 0.000 0.000 0.852 0.008
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.1788    0.73692 0.000 0.028 0.000 0.928 0.004 0.040
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0405    0.96951 0.000 0.000 0.988 0.000 0.004 0.008
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.2883    0.77527 0.000 0.788 0.000 0.000 0.212 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0458    0.97131 0.984 0.016 0.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.5689    0.47472 0.000 0.516 0.000 0.288 0.196 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0458    0.97029 0.984 0.000 0.000 0.000 0.000 0.016
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     5  0.2178    0.88892 0.000 0.132 0.000 0.000 0.868 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.1232    0.94468 0.956 0.000 0.024 0.000 0.004 0.016
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.1257    0.77401 0.000 0.952 0.000 0.000 0.020 0.028
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     5  0.2704    0.88088 0.000 0.140 0.000 0.000 0.844 0.016
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0146    0.96793 0.000 0.000 0.996 0.000 0.004 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.1007    0.80026 0.000 0.956 0.000 0.000 0.044 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.1444    0.81088 0.000 0.928 0.000 0.000 0.072 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     5  0.2300    0.88481 0.000 0.144 0.000 0.000 0.856 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0260    0.96763 0.000 0.000 0.992 0.000 0.008 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     5  0.4210    0.69466 0.000 0.288 0.000 0.000 0.672 0.040
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.1556    0.92370 0.000 0.000 0.920 0.000 0.000 0.080
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     6  0.1501    0.93818 0.000 0.000 0.076 0.000 0.000 0.924
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     6  0.1501    0.93818 0.000 0.000 0.076 0.000 0.000 0.924
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0405    0.96951 0.000 0.000 0.988 0.000 0.004 0.008
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     5  0.4310    0.28867 0.000 0.396 0.000 0.000 0.580 0.024
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     5  0.4161   -0.02889 0.000 0.012 0.000 0.448 0.540 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0692    0.96626 0.976 0.004 0.000 0.000 0.020 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.2112    0.65978 0.000 0.896 0.000 0.088 0.000 0.016
#> 16A70057-AF47-4934-992E-3E9CF6E74684     5  0.3013    0.83125 0.000 0.088 0.000 0.068 0.844 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000    0.98193 1.000 0.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.2668    0.79784 0.000 0.828 0.000 0.000 0.168 0.004
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     6  0.1501    0.93818 0.000 0.000 0.076 0.000 0.000 0.924
#> 879DC385-8E19-410C-8C04-0B7015FB7289     5  0.2135    0.88881 0.000 0.128 0.000 0.000 0.872 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0000    0.73508 0.000 0.000 0.000 1.000 0.000 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     6  0.2266    0.90153 0.012 0.000 0.108 0.000 0.000 0.880
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     6  0.1501    0.93818 0.000 0.000 0.076 0.000 0.000 0.924
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.1075    0.74390 0.000 0.952 0.000 0.000 0.000 0.048
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     5  0.2219    0.88853 0.000 0.136 0.000 0.000 0.864 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.1152    0.79957 0.000 0.952 0.000 0.000 0.044 0.004
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.2178    0.86567 0.000 0.000 0.868 0.000 0.000 0.132
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.3938    0.61802 0.000 0.660 0.000 0.000 0.324 0.016
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.3601    0.64972 0.000 0.684 0.000 0.000 0.312 0.004
#> 4022B5D9-8B67-45C3-867B-A72129500F86     5  0.2278    0.88876 0.000 0.128 0.000 0.000 0.868 0.004
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.2748    0.73522 0.000 0.024 0.000 0.848 0.128 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.3244    0.71533 0.000 0.732 0.000 0.000 0.268 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     5  0.2882    0.84192 0.000 0.180 0.000 0.000 0.812 0.008
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     6  0.3866    0.12373 0.000 0.000 0.484 0.000 0.000 0.516
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     5  0.0713    0.76916 0.000 0.028 0.000 0.000 0.972 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.1075    0.74390 0.000 0.952 0.000 0.000 0.000 0.048
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     5  0.3301    0.67233 0.000 0.024 0.000 0.188 0.788 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     6  0.1588    0.81515 0.072 0.000 0.004 0.000 0.000 0.924
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.2191    0.87875 0.000 0.000 0.876 0.000 0.004 0.120
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.3126    0.73976 0.000 0.752 0.000 0.000 0.248 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0405    0.96983 0.000 0.000 0.988 0.000 0.004 0.008
#> 5F1797CC-C35C-44D4-867B-9824FE037552     6  0.1501    0.93818 0.000 0.000 0.076 0.000 0.000 0.924

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-SD-NMF-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-SD-NMF-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-SD-NMF-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-SD-NMF-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-SD-NMF-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-SD-NMF-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-SD-NMF-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-SD-NMF-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-SD-NMF-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-SD-NMF-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-SD-NMF-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-SD-NMF-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-SD-NMF-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-SD-NMF-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-SD-NMF-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-SD-NMF-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-SD-NMF-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-SD-NMF-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-SD-NMF-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-SD-NMF-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk SD-NMF-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-SD-NMF-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-SD-NMF-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-SD-NMF-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-SD-NMF-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-SD-NMF-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk SD-NMF-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


CV:hclust*

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["CV", "hclust"]
# you can also extract it by
# res = res_list["CV:hclust"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#>   Subgroups are detected by 'hclust' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 2.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk CV-hclust-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk CV-hclust-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 0.941           0.965       0.985         0.3225 0.672   0.672
#> 3 3 0.818           0.916       0.953         0.2771 0.942   0.914
#> 4 4 0.637           0.830       0.790         0.3086 0.716   0.542
#> 5 5 0.733           0.904       0.930         0.2005 0.976   0.931
#> 6 6 0.725           0.830       0.896         0.0276 0.994   0.980

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 2

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette    p1    p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     2  0.1414      0.977 0.020 0.980
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.993 0.000 1.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1  0.0000      0.950 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     2  0.0000      0.993 0.000 1.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     2  0.1184      0.981 0.016 0.984
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.993 0.000 1.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1  0.0000      0.950 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0000      0.993 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1  0.9866      0.284 0.568 0.432
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     2  0.0000      0.993 0.000 1.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     2  0.5059      0.875 0.112 0.888
#> 8670C657-F6AB-4767-9278-42E64C614370     1  0.0000      0.950 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.993 0.000 1.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     2  0.0000      0.993 0.000 1.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.993 0.000 1.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     2  0.0000      0.993 0.000 1.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     2  0.1184      0.981 0.016 0.984
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.993 0.000 1.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.993 0.000 1.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.993 0.000 1.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.993 0.000 1.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.993 0.000 1.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.993 0.000 1.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      0.993 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.993 0.000 1.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     2  0.1414      0.977 0.020 0.980
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1  0.0000      0.950 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.993 0.000 1.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     2  0.0000      0.993 0.000 1.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.993 0.000 1.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1  0.0376      0.947 0.996 0.004
#> E6F801F4-9289-4623-B7D9-60CA56C71683     2  0.5059      0.875 0.112 0.888
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.0000      0.993 0.000 1.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1  0.0000      0.950 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     2  0.5059      0.875 0.112 0.888
#> 04156B26-81B5-4E17-A14A-819800ABFE36     2  0.0000      0.993 0.000 1.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1  0.0000      0.950 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.993 0.000 1.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000      0.993 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      0.993 0.000 1.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     2  0.0000      0.993 0.000 1.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1  0.0000      0.950 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0000      0.993 0.000 1.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     2  0.1414      0.977 0.020 0.980
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000      0.993 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1  0.0000      0.950 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1  0.9866      0.284 0.568 0.432
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     2  0.0000      0.993 0.000 1.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      0.993 0.000 1.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000      0.993 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1  0.0000      0.950 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.993 0.000 1.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.993 0.000 1.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     2  0.0000      0.993 0.000 1.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.993 0.000 1.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      0.993 0.000 1.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1  0.4815      0.861 0.896 0.104
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.993 0.000 1.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      0.993 0.000 1.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.993 0.000 1.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     2  0.0000      0.993 0.000 1.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      0.993 0.000 1.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     2  0.0000      0.993 0.000 1.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      0.993 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     2  0.0938      0.984 0.012 0.988
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      0.993 0.000 1.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      0.993 0.000 1.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.993 0.000 1.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     1  0.0000      0.950 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1  0.0000      0.950 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     2  0.0000      0.993 0.000 1.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     2  0.0000      0.993 0.000 1.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     2  0.0000      0.993 0.000 1.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000      0.993 0.000 1.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1  0.0000      0.950 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1  0.0000      0.950 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.993 0.000 1.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.993 0.000 1.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     2  0.1414      0.977 0.020 0.980
#> E61A5740-7C26-4730-9610-A3C710098B92     1  0.0000      0.950 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.993 0.000 1.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     2  0.0000      0.993 0.000 1.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.993 0.000 1.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1  0.0000      0.950 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     2  0.1414      0.977 0.020 0.980
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     2  0.0000      0.993 0.000 1.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000      0.993 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.993 0.000 1.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      0.993 0.000 1.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     2  0.1184      0.981 0.016 0.984
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      0.993 0.000 1.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1  0.0000      0.950 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.993 0.000 1.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.993 0.000 1.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000      0.993 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     2  0.0000      0.993 0.000 1.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     2  0.0000      0.993 0.000 1.000
#> 10161FA0-E389-4D98-B854-098AF908C898     1  0.0000      0.950 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.993 0.000 1.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     2  0.0000      0.993 0.000 1.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      0.993 0.000 1.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     2  0.1414      0.977 0.020 0.980
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.993 0.000 1.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     2  0.1414      0.977 0.020 0.980
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     2  0.0000      0.993 0.000 1.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      0.993 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     2  0.0000      0.993 0.000 1.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.993 0.000 1.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     2  0.0000      0.993 0.000 1.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1  0.4815      0.861 0.896 0.104
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      0.993 0.000 1.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.993 0.000 1.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     2  0.0376      0.990 0.004 0.996
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.993 0.000 1.000
#> 86689648-2C4A-456F-A551-B9731400846C     1  0.0376      0.947 0.996 0.004
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     2  0.0000      0.993 0.000 1.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      0.993 0.000 1.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     1  0.0000      0.950 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1  0.0000      0.950 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     2  0.0000      0.993 0.000 1.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     2  0.0000      0.993 0.000 1.000
#> B18217F7-303C-4104-848E-A354DADE72BF     2  0.5059      0.875 0.112 0.888
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1  0.0000      0.950 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     2  0.1184      0.981 0.016 0.984
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     2  0.0000      0.993 0.000 1.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.993 0.000 1.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000      0.993 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     2  0.0000      0.993 0.000 1.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      0.993 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      0.993 0.000 1.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     2  0.0000      0.993 0.000 1.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.993 0.000 1.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1  0.9866      0.284 0.568 0.432
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      0.993 0.000 1.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000      0.993 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     2  0.2423      0.959 0.040 0.960
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     2  0.5059      0.875 0.112 0.888
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      0.993 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.993 0.000 1.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.993 0.000 1.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1  0.0000      0.950 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.993 0.000 1.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.993 0.000 1.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      0.993 0.000 1.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      0.993 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.993 0.000 1.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.993 0.000 1.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1  0.0000      0.950 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      0.993 0.000 1.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      0.993 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      0.993 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     2  0.1414      0.977 0.020 0.980
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1  0.0000      0.950 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.993 0.000 1.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     1  0.0000      0.950 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1  0.0000      0.950 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1    p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     2  0.4452      0.828 0.192 0.808 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.959 0.000 1.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.3686      0.844 0.140 0.000 0.860
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     2  0.3038      0.908 0.104 0.896 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     2  0.4235      0.844 0.176 0.824 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.959 0.000 1.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.1163      0.945 0.028 0.000 0.972
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0000      0.959 0.000 1.000 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1  0.6617      0.362 0.556 0.008 0.436
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     2  0.1289      0.946 0.032 0.968 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     1  0.1163      0.787 0.972 0.028 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0747      0.942 0.016 0.000 0.984
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.959 0.000 1.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     2  0.2796      0.916 0.092 0.908 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.959 0.000 1.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     2  0.2165      0.931 0.064 0.936 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     2  0.4346      0.837 0.184 0.816 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.959 0.000 1.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.959 0.000 1.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.959 0.000 1.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.959 0.000 1.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.959 0.000 1.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.959 0.000 1.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      0.959 0.000 1.000 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.959 0.000 1.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     2  0.4452      0.828 0.192 0.808 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.947 0.000 0.000 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.959 0.000 1.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     2  0.2796      0.916 0.092 0.908 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.959 0.000 1.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0424      0.945 0.008 0.000 0.992
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1  0.1163      0.787 0.972 0.028 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.0000      0.959 0.000 1.000 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.1163      0.945 0.028 0.000 0.972
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1  0.1163      0.787 0.972 0.028 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     2  0.2796      0.916 0.092 0.908 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.1163      0.945 0.028 0.000 0.972
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.959 0.000 1.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000      0.959 0.000 1.000 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      0.959 0.000 1.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     2  0.2796      0.916 0.092 0.908 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0747      0.942 0.016 0.000 0.984
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0000      0.959 0.000 1.000 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     2  0.4452      0.828 0.192 0.808 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000      0.959 0.000 1.000 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.947 0.000 0.000 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1  0.6617      0.362 0.556 0.008 0.436
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     2  0.3038      0.908 0.104 0.896 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      0.959 0.000 1.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000      0.959 0.000 1.000 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.947 0.000 0.000 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.959 0.000 1.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.959 0.000 1.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     2  0.2796      0.916 0.092 0.908 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.959 0.000 1.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      0.959 0.000 1.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.3038      0.738 0.000 0.104 0.896
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.959 0.000 1.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      0.959 0.000 1.000 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.959 0.000 1.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     2  0.3038      0.908 0.104 0.896 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      0.959 0.000 1.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     2  0.1860      0.937 0.052 0.948 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      0.959 0.000 1.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     2  0.4002      0.861 0.160 0.840 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      0.959 0.000 1.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      0.959 0.000 1.000 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.959 0.000 1.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.947 0.000 0.000 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.1163      0.945 0.028 0.000 0.972
#> 44C04683-DE81-45AB-9695-4BA64CE73155     2  0.2796      0.916 0.092 0.908 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     2  0.0237      0.957 0.004 0.996 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     2  0.1289      0.946 0.032 0.968 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000      0.959 0.000 1.000 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.947 0.000 0.000 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.947 0.000 0.000 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.959 0.000 1.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.959 0.000 1.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     2  0.4452      0.828 0.192 0.808 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.947 0.000 0.000 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.959 0.000 1.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     2  0.2796      0.916 0.092 0.908 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.959 0.000 1.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.1163      0.945 0.028 0.000 0.972
#> 5D916BB7-6B38-414E-875E-2497C91B209A     2  0.4452      0.828 0.192 0.808 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     2  0.0237      0.957 0.004 0.996 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000      0.959 0.000 1.000 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.959 0.000 1.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      0.959 0.000 1.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     2  0.4346      0.837 0.184 0.816 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      0.959 0.000 1.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.947 0.000 0.000 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.959 0.000 1.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.959 0.000 1.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000      0.959 0.000 1.000 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     2  0.2796      0.916 0.092 0.908 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     2  0.2796      0.916 0.092 0.908 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.947 0.000 0.000 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.959 0.000 1.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     2  0.1860      0.937 0.052 0.948 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      0.959 0.000 1.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     2  0.4452      0.828 0.192 0.808 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.959 0.000 1.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     2  0.4452      0.828 0.192 0.808 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     2  0.2878      0.913 0.096 0.904 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      0.959 0.000 1.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     2  0.3038      0.908 0.104 0.896 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.959 0.000 1.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     2  0.2796      0.916 0.092 0.908 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.3038      0.738 0.000 0.104 0.896
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      0.959 0.000 1.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.959 0.000 1.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     2  0.3116      0.905 0.108 0.892 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.959 0.000 1.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0424      0.945 0.008 0.000 0.992
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     2  0.2959      0.911 0.100 0.900 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      0.959 0.000 1.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.1163      0.945 0.028 0.000 0.972
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.3686      0.844 0.140 0.000 0.860
#> 852F1EDF-6046-462C-820F-9782410E1845     2  0.2796      0.916 0.092 0.908 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     2  0.2625      0.921 0.084 0.916 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.1163      0.787 0.972 0.028 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.947 0.000 0.000 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     2  0.4399      0.832 0.188 0.812 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     2  0.1289      0.946 0.032 0.968 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.959 0.000 1.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000      0.959 0.000 1.000 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     2  0.1289      0.946 0.032 0.968 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      0.959 0.000 1.000 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      0.959 0.000 1.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     2  0.2796      0.916 0.092 0.908 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.959 0.000 1.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1  0.6617      0.362 0.556 0.008 0.436
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      0.959 0.000 1.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000      0.959 0.000 1.000 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     2  0.5305      0.805 0.192 0.788 0.020
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1  0.1163      0.787 0.972 0.028 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      0.959 0.000 1.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.959 0.000 1.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.959 0.000 1.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.1163      0.945 0.028 0.000 0.972
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.959 0.000 1.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.959 0.000 1.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      0.959 0.000 1.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      0.959 0.000 1.000 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.959 0.000 1.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.959 0.000 1.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.3412      0.862 0.124 0.000 0.876
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      0.959 0.000 1.000 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      0.959 0.000 1.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      0.959 0.000 1.000 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     2  0.4452      0.828 0.192 0.808 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.2066      0.924 0.060 0.000 0.940
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.959 0.000 1.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.1163      0.945 0.028 0.000 0.972
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.3686      0.844 0.140 0.000 0.860

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.2928      0.819 0.880 0.012 0.000 0.108
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     4  0.6915     -0.160 0.000 0.108 0.416 0.476
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0469      0.874 0.988 0.000 0.000 0.012
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.3778      0.820 0.848 0.052 0.000 0.100
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.4348      0.685 0.000 0.196 0.780 0.024
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     4  0.8910      0.411 0.064 0.248 0.260 0.428
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.1792      0.776 0.932 0.068 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     4  0.6269      0.556 0.096 0.272 0.000 0.632
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.5289      0.435 0.000 0.020 0.636 0.344
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.874 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0921      0.842 0.972 0.028 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.2805      0.825 0.888 0.012 0.000 0.100
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.2928      0.819 0.880 0.012 0.000 0.108
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.4936      0.461 0.000 0.008 0.652 0.340
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.874 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0376      0.743 0.004 0.004 0.992 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     4  0.6269      0.556 0.096 0.272 0.000 0.632
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.5000      0.984 0.496 0.504 0.000 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.4348      0.685 0.000 0.196 0.780 0.024
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     4  0.6269      0.556 0.096 0.272 0.000 0.632
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.874 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.4348      0.685 0.000 0.196 0.780 0.024
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.874 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.5386      0.434 0.000 0.024 0.632 0.344
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.2928      0.819 0.880 0.012 0.000 0.108
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0779      0.745 0.000 0.004 0.980 0.016
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     4  0.8910      0.411 0.064 0.248 0.260 0.428
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0469      0.874 0.988 0.000 0.000 0.012
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0779      0.745 0.000 0.004 0.980 0.016
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.874 1.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.2892      0.635 0.068 0.036 0.896 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     1  0.4830     -0.698 0.608 0.392 0.000 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0469      0.874 0.988 0.000 0.000 0.012
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.1389      0.812 0.952 0.048 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.2271      0.840 0.916 0.008 0.000 0.076
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0779      0.745 0.000 0.004 0.980 0.016
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.4348      0.685 0.000 0.196 0.780 0.024
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.874 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.2281      0.707 0.904 0.096 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.1792      0.776 0.932 0.068 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.5000      0.984 0.496 0.504 0.000 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.744 0.000 0.000 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.744 0.000 0.000 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.2928      0.819 0.880 0.012 0.000 0.108
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.4936      0.461 0.000 0.008 0.652 0.340
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.1677      0.839 0.948 0.040 0.000 0.012
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.4307      0.687 0.000 0.192 0.784 0.024
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.2928      0.819 0.880 0.012 0.000 0.108
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.2281      0.707 0.904 0.096 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.2805      0.825 0.888 0.012 0.000 0.100
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0779      0.745 0.000 0.004 0.980 0.016
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.874 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.874 1.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0779      0.745 0.000 0.004 0.980 0.016
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.1389      0.812 0.952 0.048 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.2928      0.819 0.880 0.012 0.000 0.108
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.2928      0.819 0.880 0.012 0.000 0.108
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0188      0.874 0.996 0.000 0.000 0.004
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0469      0.874 0.988 0.000 0.000 0.012
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.874 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.2892      0.635 0.068 0.036 0.896 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0592      0.873 0.984 0.000 0.000 0.016
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0376      0.743 0.004 0.004 0.992 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0336      0.875 0.992 0.000 0.000 0.008
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.4348      0.685 0.000 0.196 0.780 0.024
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     4  0.6915     -0.160 0.000 0.108 0.416 0.476
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.874 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0336      0.866 0.992 0.008 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     4  0.6269      0.556 0.096 0.272 0.000 0.632
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.4936      0.461 0.000 0.008 0.652 0.340
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.2867      0.822 0.884 0.012 0.000 0.104
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.1792      0.776 0.932 0.068 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.1792      0.776 0.932 0.068 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.874 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     4  0.8910      0.411 0.064 0.248 0.260 0.428
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.3617      0.793 0.860 0.012 0.020 0.108
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     4  0.6269      0.556 0.096 0.272 0.000 0.632
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.4348      0.685 0.000 0.196 0.780 0.024
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     4  0.7003     -0.196 0.000 0.116 0.424 0.460
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.2928      0.819 0.880 0.012 0.000 0.108
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.6698      0.327 0.000 0.096 0.532 0.372
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.4998      1.000 0.488 0.512 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.4307      0.687 0.000 0.192 0.784 0.024
#> 5F1797CC-C35C-44D4-867B-9824FE037552     4  0.6915     -0.160 0.000 0.108 0.416 0.476

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.815 1.000 0.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     5  0.3700      0.753 0.000 0.000 0.008 0.240 0.752
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.2179      0.896 0.888 0.112 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.1197      0.825 0.952 0.048 0.000 0.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0162      0.815 0.000 0.000 0.996 0.000 0.004
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     4  0.6564      0.500 0.040 0.000 0.152 0.592 0.216
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.3242      0.809 0.784 0.216 0.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     4  0.2471      0.786 0.136 0.000 0.000 0.864 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     5  0.1651      0.800 0.012 0.000 0.036 0.008 0.944
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.2329      0.898 0.876 0.124 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.2813      0.862 0.832 0.168 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0290      0.824 0.992 0.008 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0000      0.815 1.000 0.000 0.000 0.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     5  0.0290      0.817 0.000 0.000 0.008 0.000 0.992
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.2329      0.898 0.876 0.124 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.3934      0.818 0.008 0.000 0.716 0.000 0.276
#> E6F801F4-9289-4623-B7D9-60CA56C71683     4  0.2471      0.786 0.136 0.000 0.000 0.864 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.0794      0.965 0.028 0.972 0.000 0.000 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0162      0.815 0.000 0.000 0.996 0.000 0.004
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     4  0.2471      0.786 0.136 0.000 0.000 0.864 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.2329      0.898 0.876 0.124 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0162      0.815 0.000 0.000 0.996 0.000 0.004
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.2329      0.898 0.876 0.124 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     5  0.1569      0.803 0.012 0.000 0.032 0.008 0.948
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.815 1.000 0.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.3534      0.837 0.000 0.000 0.744 0.000 0.256
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     4  0.6564      0.500 0.040 0.000 0.152 0.592 0.216
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.2179      0.896 0.888 0.112 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.3534      0.837 0.000 0.000 0.744 0.000 0.256
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.2329      0.898 0.876 0.124 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.5774      0.741 0.044 0.060 0.652 0.000 0.244
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.2605      0.798 0.148 0.852 0.000 0.000 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.2179      0.896 0.888 0.112 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.3003      0.842 0.812 0.188 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.1043      0.850 0.960 0.040 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.3534      0.837 0.000 0.000 0.744 0.000 0.256
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0162      0.815 0.000 0.000 0.996 0.000 0.004
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.2329      0.898 0.876 0.124 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.3452      0.768 0.756 0.244 0.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.3242      0.809 0.784 0.216 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0794      0.965 0.028 0.972 0.000 0.000 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.3452      0.839 0.000 0.000 0.756 0.000 0.244
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.3452      0.839 0.000 0.000 0.756 0.000 0.244
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.815 1.000 0.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     5  0.0290      0.817 0.000 0.000 0.008 0.000 0.992
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.2648      0.872 0.848 0.152 0.000 0.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0290      0.816 0.000 0.000 0.992 0.000 0.008
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      0.815 1.000 0.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.3452      0.768 0.756 0.244 0.000 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0290      0.824 0.992 0.008 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.3534      0.837 0.000 0.000 0.744 0.000 0.256
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.2329      0.898 0.876 0.124 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.2329      0.898 0.876 0.124 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.3534      0.837 0.000 0.000 0.744 0.000 0.256
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.3003      0.842 0.812 0.188 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.815 1.000 0.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.0000      0.815 1.000 0.000 0.000 0.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.2280      0.897 0.880 0.120 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.2179      0.896 0.888 0.112 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.2329      0.898 0.876 0.124 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.5774      0.741 0.044 0.060 0.652 0.000 0.244
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.2127      0.894 0.892 0.108 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.3934      0.818 0.008 0.000 0.716 0.000 0.276
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.2230      0.897 0.884 0.116 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0162      0.815 0.000 0.000 0.996 0.000 0.004
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     5  0.3700      0.753 0.000 0.000 0.008 0.240 0.752
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.2329      0.898 0.876 0.124 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.2471      0.889 0.864 0.136 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     4  0.2471      0.786 0.136 0.000 0.000 0.864 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     5  0.0290      0.817 0.000 0.000 0.008 0.000 0.992
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0162      0.820 0.996 0.004 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.3242      0.809 0.784 0.216 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.3242      0.809 0.784 0.216 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.2329      0.898 0.876 0.124 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     4  0.6564      0.500 0.040 0.000 0.152 0.592 0.216
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.0671      0.803 0.980 0.000 0.016 0.000 0.004
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     4  0.2471      0.786 0.136 0.000 0.000 0.864 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0162      0.815 0.000 0.000 0.996 0.000 0.004
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     5  0.4024      0.751 0.000 0.000 0.028 0.220 0.752
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0404      0.983 0.012 0.988 0.000 0.000 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.0000      0.815 1.000 0.000 0.000 0.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     5  0.3376      0.807 0.012 0.000 0.032 0.108 0.848
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.997 0.000 1.000 0.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0290      0.816 0.000 0.000 0.992 0.000 0.008
#> 5F1797CC-C35C-44D4-867B-9824FE037552     5  0.3700      0.753 0.000 0.000 0.008 0.240 0.752

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.828 1.000 0.000 0.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.1556      0.953 0.000 0.920 0.000 0.000 0.080 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     4  0.0458      0.778 0.000 0.000 0.000 0.984 0.000 0.016
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.1957      0.901 0.888 0.112 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.1461      0.831 0.940 0.044 0.000 0.000 0.016 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.648 0.000 0.000 1.000 0.000 0.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.1714      0.949 0.000 0.908 0.000 0.000 0.092 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     6  0.6678      0.455 0.012 0.000 0.120 0.364 0.056 0.448
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.3374      0.814 0.772 0.208 0.000 0.000 0.020 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     6  0.0458      0.773 0.016 0.000 0.000 0.000 0.000 0.984
#> 8670C657-F6AB-4767-9278-42E64C614370     4  0.3679      0.793 0.012 0.000 0.000 0.724 0.260 0.004
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.1501      0.954 0.000 0.924 0.000 0.000 0.076 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.2092      0.902 0.876 0.124 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.1610      0.952 0.000 0.916 0.000 0.000 0.084 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.2632      0.869 0.832 0.164 0.000 0.000 0.004 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0260      0.836 0.992 0.008 0.000 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.1610      0.952 0.000 0.916 0.000 0.000 0.084 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.1663      0.951 0.000 0.912 0.000 0.000 0.088 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.1610      0.952 0.000 0.916 0.000 0.000 0.084 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.1610      0.952 0.000 0.916 0.000 0.000 0.084 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.1714      0.949 0.000 0.908 0.000 0.000 0.092 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0000      0.828 1.000 0.000 0.000 0.000 0.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     4  0.3023      0.808 0.000 0.000 0.000 0.768 0.232 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.2092      0.902 0.876 0.124 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     5  0.4591      0.480 0.004 0.000 0.452 0.028 0.516 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     6  0.0458      0.773 0.016 0.000 0.000 0.000 0.000 0.984
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.2404      0.925 0.016 0.872 0.000 0.000 0.112 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.648 0.000 0.000 1.000 0.000 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     6  0.0458      0.773 0.016 0.000 0.000 0.000 0.000 0.984
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.2092      0.902 0.876 0.124 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.648 0.000 0.000 1.000 0.000 0.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.1714      0.949 0.000 0.908 0.000 0.000 0.092 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0713      0.958 0.000 0.972 0.000 0.000 0.028 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.2092      0.902 0.876 0.124 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     4  0.3656      0.796 0.012 0.000 0.000 0.728 0.256 0.004
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.828 1.000 0.000 0.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.1714      0.949 0.000 0.908 0.000 0.000 0.092 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.4310     -0.297 0.000 0.000 0.540 0.020 0.440 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     6  0.6678      0.455 0.012 0.000 0.120 0.364 0.056 0.448
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.1957      0.901 0.888 0.112 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.1714      0.949 0.000 0.908 0.000 0.000 0.092 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.1714      0.949 0.000 0.908 0.000 0.000 0.092 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.4310     -0.297 0.000 0.000 0.540 0.020 0.440 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.2092      0.902 0.876 0.124 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.1714      0.949 0.000 0.908 0.000 0.000 0.092 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.1714      0.949 0.000 0.908 0.000 0.000 0.092 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     5  0.2191      0.562 0.000 0.000 0.120 0.000 0.876 0.004
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.3544      0.784 0.120 0.800 0.000 0.000 0.080 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.1957      0.901 0.888 0.112 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.2805      0.849 0.812 0.184 0.000 0.000 0.004 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0937      0.860 0.960 0.040 0.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.1444      0.954 0.000 0.928 0.000 0.000 0.072 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.1444      0.954 0.000 0.928 0.000 0.000 0.072 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0865      0.958 0.000 0.964 0.000 0.000 0.036 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.4310     -0.297 0.000 0.000 0.540 0.020 0.440 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.648 0.000 0.000 1.000 0.000 0.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.2092      0.902 0.876 0.124 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.4300      0.774 0.712 0.208 0.000 0.000 0.080 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.3374      0.814 0.772 0.208 0.000 0.000 0.020 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.2404      0.925 0.016 0.872 0.000 0.000 0.112 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     5  0.3881      0.603 0.000 0.000 0.396 0.000 0.600 0.004
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     5  0.3881      0.603 0.000 0.000 0.396 0.000 0.600 0.004
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0146      0.959 0.000 0.996 0.000 0.000 0.004 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.828 1.000 0.000 0.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     4  0.3023      0.808 0.000 0.000 0.000 0.768 0.232 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.2783      0.875 0.836 0.148 0.000 0.000 0.016 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.1610      0.952 0.000 0.916 0.000 0.000 0.084 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0547      0.636 0.000 0.000 0.980 0.000 0.020 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      0.828 1.000 0.000 0.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.4300      0.774 0.712 0.208 0.000 0.000 0.080 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.1714      0.949 0.000 0.908 0.000 0.000 0.092 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.1444      0.954 0.000 0.928 0.000 0.000 0.072 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0260      0.836 0.992 0.008 0.000 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.1444      0.954 0.000 0.928 0.000 0.000 0.072 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.4310     -0.297 0.000 0.000 0.540 0.020 0.440 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.1714      0.949 0.000 0.908 0.000 0.000 0.092 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.1714      0.949 0.000 0.908 0.000 0.000 0.092 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.2092      0.902 0.876 0.124 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.2092      0.902 0.876 0.124 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.4310     -0.297 0.000 0.000 0.540 0.020 0.440 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.2915      0.848 0.808 0.184 0.000 0.000 0.008 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.1714      0.949 0.000 0.908 0.000 0.000 0.092 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.828 1.000 0.000 0.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.1610      0.952 0.000 0.916 0.000 0.000 0.084 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.0000      0.828 1.000 0.000 0.000 0.000 0.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.2048      0.902 0.880 0.120 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.1957      0.901 0.888 0.112 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0713      0.958 0.000 0.972 0.000 0.000 0.028 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.2092      0.902 0.876 0.124 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     5  0.2191      0.562 0.000 0.000 0.120 0.000 0.876 0.004
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.1910      0.899 0.892 0.108 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.1610      0.952 0.000 0.916 0.000 0.000 0.084 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     5  0.4591      0.480 0.004 0.000 0.452 0.028 0.516 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.2003      0.902 0.884 0.116 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0146      0.959 0.000 0.996 0.000 0.000 0.004 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      0.648 0.000 0.000 1.000 0.000 0.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     4  0.0458      0.778 0.000 0.000 0.000 0.984 0.000 0.016
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.2092      0.902 0.876 0.124 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.2219      0.894 0.864 0.136 0.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     6  0.0458      0.773 0.016 0.000 0.000 0.000 0.000 0.984
#> B9C99F02-10F1-44A6-B9FE-716955D00521     4  0.3023      0.808 0.000 0.000 0.000 0.768 0.232 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0146      0.832 0.996 0.004 0.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.3103      0.819 0.784 0.208 0.000 0.000 0.008 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.1714      0.949 0.000 0.908 0.000 0.000 0.092 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.3374      0.814 0.772 0.208 0.000 0.000 0.020 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.1714      0.949 0.000 0.908 0.000 0.000 0.092 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.2092      0.902 0.876 0.124 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     6  0.6678      0.455 0.012 0.000 0.120 0.364 0.056 0.448
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0146      0.959 0.000 0.996 0.000 0.000 0.004 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.1714      0.949 0.000 0.908 0.000 0.000 0.092 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.0547      0.818 0.980 0.000 0.000 0.000 0.020 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     6  0.0458      0.773 0.016 0.000 0.000 0.000 0.000 0.984
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.1610      0.952 0.000 0.916 0.000 0.000 0.084 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      0.648 0.000 0.000 1.000 0.000 0.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0260      0.959 0.000 0.992 0.000 0.000 0.008 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.1714      0.949 0.000 0.908 0.000 0.000 0.092 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     4  0.0806      0.775 0.000 0.000 0.020 0.972 0.000 0.008
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.1151      0.955 0.012 0.956 0.000 0.000 0.032 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.1714      0.949 0.000 0.908 0.000 0.000 0.092 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.0146      0.826 0.996 0.000 0.000 0.000 0.004 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     4  0.2909      0.808 0.012 0.000 0.000 0.828 0.156 0.004
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.959 0.000 1.000 0.000 0.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0547      0.636 0.000 0.000 0.980 0.000 0.020 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     4  0.0458      0.778 0.000 0.000 0.000 0.984 0.000 0.016

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-CV-hclust-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-CV-hclust-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-CV-hclust-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-CV-hclust-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-CV-hclust-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-CV-hclust-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-CV-hclust-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-CV-hclust-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-CV-hclust-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-CV-hclust-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-CV-hclust-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-CV-hclust-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-CV-hclust-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-CV-hclust-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-CV-hclust-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-CV-hclust-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-CV-hclust-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-CV-hclust-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-CV-hclust-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-CV-hclust-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk CV-hclust-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-CV-hclust-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-CV-hclust-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-CV-hclust-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-CV-hclust-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-CV-hclust-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk CV-hclust-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


CV:kmeans

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["CV", "kmeans"]
# you can also extract it by
# res = res_list["CV:kmeans"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#>   Subgroups are detected by 'kmeans' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 3.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk CV-kmeans-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk CV-kmeans-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 0.653           0.828       0.910         0.4308 0.604   0.604
#> 3 3 0.809           0.970       0.942         0.4599 0.730   0.564
#> 4 4 0.787           0.452       0.815         0.1220 0.975   0.933
#> 5 5 0.717           0.710       0.791         0.0765 0.859   0.603
#> 6 6 0.701           0.597       0.765         0.0494 0.960   0.828

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 3

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette    p1    p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     2  0.9522      0.588 0.372 0.628
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.865 0.000 1.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1  0.0376      0.980 0.996 0.004
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     2  0.9323      0.627 0.348 0.652
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     2  0.9323      0.627 0.348 0.652
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.865 0.000 1.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1  0.0376      0.980 0.996 0.004
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0000      0.865 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1  0.0376      0.980 0.996 0.004
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     2  0.9323      0.627 0.348 0.652
#> 12078907-435A-46C9-96C1-24E71BF4602D     1  0.0376      0.980 0.996 0.004
#> 8670C657-F6AB-4767-9278-42E64C614370     1  0.0376      0.980 0.996 0.004
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.865 0.000 1.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     2  0.9323      0.627 0.348 0.652
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.865 0.000 1.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     2  0.9323      0.627 0.348 0.652
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     2  0.9775      0.510 0.412 0.588
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.865 0.000 1.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.865 0.000 1.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.865 0.000 1.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.865 0.000 1.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.865 0.000 1.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.865 0.000 1.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      0.865 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.865 0.000 1.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0000      0.976 1.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1  0.0376      0.980 0.996 0.004
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.865 0.000 1.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     2  0.9323      0.627 0.348 0.652
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.865 0.000 1.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1  0.0376      0.980 0.996 0.004
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1  0.0376      0.980 0.996 0.004
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.0000      0.865 0.000 1.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1  0.0376      0.980 0.996 0.004
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1  0.0376      0.980 0.996 0.004
#> 04156B26-81B5-4E17-A14A-819800ABFE36     2  0.9323      0.627 0.348 0.652
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1  0.0376      0.980 0.996 0.004
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.865 0.000 1.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000      0.865 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      0.865 0.000 1.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     2  0.9323      0.627 0.348 0.652
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1  0.0376      0.980 0.996 0.004
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0000      0.865 0.000 1.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     2  0.9710      0.535 0.400 0.600
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000      0.865 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1  0.0376      0.980 0.996 0.004
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1  0.0376      0.980 0.996 0.004
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     2  0.9323      0.627 0.348 0.652
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      0.865 0.000 1.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000      0.865 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1  0.0376      0.980 0.996 0.004
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.865 0.000 1.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.865 0.000 1.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     2  0.9323      0.627 0.348 0.652
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.865 0.000 1.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      0.865 0.000 1.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1  0.0376      0.980 0.996 0.004
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.865 0.000 1.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      0.865 0.000 1.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.865 0.000 1.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     2  0.9323      0.627 0.348 0.652
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      0.865 0.000 1.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     2  0.9323      0.627 0.348 0.652
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      0.865 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     2  0.9323      0.627 0.348 0.652
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      0.865 0.000 1.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      0.865 0.000 1.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.865 0.000 1.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     1  0.0376      0.980 0.996 0.004
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1  0.0376      0.980 0.996 0.004
#> 44C04683-DE81-45AB-9695-4BA64CE73155     2  0.9323      0.627 0.348 0.652
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     2  0.9323      0.627 0.348 0.652
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     2  0.9323      0.627 0.348 0.652
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000      0.865 0.000 1.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1  0.0376      0.980 0.996 0.004
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1  0.0376      0.980 0.996 0.004
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.865 0.000 1.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.865 0.000 1.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     2  0.9460      0.601 0.364 0.636
#> E61A5740-7C26-4730-9610-A3C710098B92     1  0.0376      0.980 0.996 0.004
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.865 0.000 1.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     2  0.9323      0.627 0.348 0.652
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.865 0.000 1.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1  0.0376      0.980 0.996 0.004
#> 5D916BB7-6B38-414E-875E-2497C91B209A     2  0.9522      0.588 0.372 0.628
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     2  0.9323      0.627 0.348 0.652
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000      0.865 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.865 0.000 1.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      0.865 0.000 1.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     2  0.9427      0.608 0.360 0.640
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      0.865 0.000 1.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1  0.0376      0.980 0.996 0.004
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.865 0.000 1.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.865 0.000 1.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000      0.865 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     2  0.9323      0.627 0.348 0.652
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     2  0.9248      0.634 0.340 0.660
#> 10161FA0-E389-4D98-B854-098AF908C898     1  0.0376      0.980 0.996 0.004
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.865 0.000 1.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     2  0.9323      0.627 0.348 0.652
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      0.865 0.000 1.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.9944     -0.149 0.544 0.456
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.865 0.000 1.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.0000      0.976 1.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     2  0.9323      0.627 0.348 0.652
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      0.865 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     2  0.9323      0.627 0.348 0.652
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.865 0.000 1.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     2  0.9323      0.627 0.348 0.652
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1  0.0376      0.980 0.996 0.004
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      0.865 0.000 1.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.865 0.000 1.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     2  0.9323      0.627 0.348 0.652
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.865 0.000 1.000
#> 86689648-2C4A-456F-A551-B9731400846C     1  0.0376      0.980 0.996 0.004
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     2  0.9323      0.627 0.348 0.652
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      0.865 0.000 1.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     1  0.0376      0.980 0.996 0.004
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1  0.0376      0.980 0.996 0.004
#> 852F1EDF-6046-462C-820F-9782410E1845     2  0.9323      0.627 0.348 0.652
#> EF68CF6E-F46D-477A-B125-153DDE949C07     2  0.9323      0.627 0.348 0.652
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.4939      0.846 0.892 0.108
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1  0.0376      0.980 0.996 0.004
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     2  0.9522      0.588 0.372 0.628
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     2  0.7139      0.748 0.196 0.804
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.865 0.000 1.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000      0.865 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     2  0.9323      0.627 0.348 0.652
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      0.865 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      0.865 0.000 1.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     2  0.9323      0.627 0.348 0.652
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.865 0.000 1.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1  0.0376      0.980 0.996 0.004
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      0.865 0.000 1.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000      0.865 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.0000      0.976 1.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1  0.0376      0.980 0.996 0.004
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      0.865 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.865 0.000 1.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.865 0.000 1.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1  0.0376      0.980 0.996 0.004
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.865 0.000 1.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.865 0.000 1.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      0.865 0.000 1.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      0.865 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.865 0.000 1.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.865 0.000 1.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1  0.0376      0.980 0.996 0.004
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      0.865 0.000 1.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      0.865 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      0.865 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.4431      0.864 0.908 0.092
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1  0.0376      0.980 0.996 0.004
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.865 0.000 1.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     1  0.0376      0.980 0.996 0.004
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1  0.0376      0.980 0.996 0.004

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1    p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.3910      0.984 0.876 0.020 0.104
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.1964      0.964 0.056 0.944 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0747      0.987 0.016 0.000 0.984
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.4045      0.986 0.872 0.024 0.104
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.3910      0.984 0.876 0.020 0.104
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.963 0.000 1.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.990 0.000 0.000 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.3038      0.957 0.104 0.896 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0892      0.986 0.020 0.000 0.980
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.4045      0.986 0.872 0.024 0.104
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0892      0.986 0.020 0.000 0.980
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.1031      0.986 0.024 0.000 0.976
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.2066      0.964 0.060 0.940 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.4045      0.986 0.872 0.024 0.104
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.2959      0.958 0.100 0.900 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.4045      0.986 0.872 0.024 0.104
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.3910      0.984 0.876 0.020 0.104
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.2959      0.958 0.100 0.900 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.2356      0.963 0.072 0.928 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.963 0.000 1.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.2959      0.958 0.100 0.900 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.963 0.000 1.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.2959      0.958 0.100 0.900 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.3038      0.957 0.104 0.896 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.963 0.000 1.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.3038      0.960 0.896 0.000 0.104
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0237      0.990 0.004 0.000 0.996
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.963 0.000 1.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.4045      0.986 0.872 0.024 0.104
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.963 0.000 1.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0237      0.990 0.004 0.000 0.996
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.2625      0.919 0.084 0.000 0.916
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.3038      0.957 0.104 0.896 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.990 0.000 0.000 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0892      0.986 0.020 0.000 0.980
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.4045      0.986 0.872 0.024 0.104
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.990 0.000 0.000 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.963 0.000 1.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.3038      0.957 0.104 0.896 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.2711      0.961 0.088 0.912 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.4045      0.986 0.872 0.024 0.104
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0892      0.988 0.020 0.000 0.980
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0237      0.963 0.004 0.996 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.3910      0.984 0.876 0.020 0.104
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.3038      0.957 0.104 0.896 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0237      0.990 0.004 0.000 0.996
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0892      0.986 0.020 0.000 0.980
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.4045      0.986 0.872 0.024 0.104
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.2356      0.963 0.072 0.928 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.3038      0.957 0.104 0.896 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0237      0.990 0.004 0.000 0.996
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.963 0.000 1.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.963 0.000 1.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.4045      0.986 0.872 0.024 0.104
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.2959      0.958 0.100 0.900 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.2959      0.958 0.100 0.900 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0237      0.990 0.004 0.000 0.996
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.963 0.000 1.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      0.963 0.000 1.000 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.963 0.000 1.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.4045      0.986 0.872 0.024 0.104
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      0.963 0.000 1.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.4045      0.986 0.872 0.024 0.104
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      0.963 0.000 1.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.4045      0.986 0.872 0.024 0.104
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.1411      0.964 0.036 0.964 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.2356      0.961 0.072 0.928 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.1529      0.964 0.040 0.960 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0237      0.990 0.004 0.000 0.996
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.990 0.000 0.000 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.4045      0.986 0.872 0.024 0.104
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.4045      0.986 0.872 0.024 0.104
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.4045      0.986 0.872 0.024 0.104
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.2356      0.961 0.072 0.928 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0237      0.990 0.004 0.000 0.996
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0237      0.990 0.004 0.000 0.996
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.963 0.000 1.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.963 0.000 1.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.3910      0.984 0.876 0.020 0.104
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0237      0.990 0.004 0.000 0.996
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.963 0.000 1.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.4045      0.986 0.872 0.024 0.104
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.2537      0.963 0.080 0.920 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000      0.990 0.000 0.000 1.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.3910      0.984 0.876 0.020 0.104
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.4045      0.986 0.872 0.024 0.104
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.3038      0.957 0.104 0.896 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.963 0.000 1.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.2165      0.961 0.064 0.936 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.3910      0.984 0.876 0.020 0.104
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.2959      0.958 0.100 0.900 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0237      0.990 0.004 0.000 0.996
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.2959      0.958 0.100 0.900 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.1411      0.964 0.036 0.964 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.3038      0.957 0.104 0.896 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.4045      0.986 0.872 0.024 0.104
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.4121      0.965 0.876 0.040 0.084
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0237      0.990 0.004 0.000 0.996
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.963 0.000 1.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.4045      0.986 0.872 0.024 0.104
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.3038      0.957 0.104 0.896 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.3987      0.984 0.872 0.020 0.108
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.2959      0.958 0.100 0.900 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.3038      0.960 0.896 0.000 0.104
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.4045      0.986 0.872 0.024 0.104
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      0.963 0.000 1.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.4045      0.986 0.872 0.024 0.104
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.1289      0.964 0.032 0.968 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.4045      0.986 0.872 0.024 0.104
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0237      0.990 0.004 0.000 0.996
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      0.963 0.000 1.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.963 0.000 1.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.4045      0.986 0.872 0.024 0.104
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.2448      0.963 0.076 0.924 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0237      0.990 0.004 0.000 0.996
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.4045      0.986 0.872 0.024 0.104
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.2356      0.963 0.072 0.928 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      0.990 0.000 0.000 1.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0892      0.986 0.020 0.000 0.980
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.4045      0.986 0.872 0.024 0.104
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.3966      0.983 0.876 0.024 0.100
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.6026      0.529 0.624 0.000 0.376
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0237      0.990 0.004 0.000 0.996
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.3910      0.984 0.876 0.020 0.104
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.4194      0.934 0.876 0.064 0.060
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.2261      0.964 0.068 0.932 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.3038      0.957 0.104 0.896 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.4045      0.986 0.872 0.024 0.104
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.2165      0.961 0.064 0.936 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.3038      0.957 0.104 0.896 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.4045      0.986 0.872 0.024 0.104
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.963 0.000 1.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0892      0.986 0.020 0.000 0.980
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.1529      0.964 0.040 0.960 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.3038      0.957 0.104 0.896 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.1753      0.962 0.048 0.000 0.952
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0892      0.986 0.020 0.000 0.980
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      0.963 0.000 1.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.2959      0.958 0.100 0.900 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.963 0.000 1.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      0.990 0.000 0.000 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.963 0.000 1.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.963 0.000 1.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.1529      0.964 0.040 0.960 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.3038      0.957 0.104 0.896 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.963 0.000 1.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.963 0.000 1.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0592      0.988 0.012 0.000 0.988
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.1529      0.964 0.040 0.960 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0237      0.963 0.004 0.996 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.3038      0.957 0.104 0.896 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.3038      0.960 0.896 0.000 0.104
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0892      0.986 0.020 0.000 0.980
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.963 0.000 1.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      0.990 0.000 0.000 1.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0892      0.986 0.020 0.000 0.980

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.1109     0.9697 0.968 0.004 0.000 0.028
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.3649     0.2652 0.000 0.796 0.000 0.204
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.3497     0.8303 0.024 0.000 0.852 0.124
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0188     0.9779 0.996 0.004 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.1305     0.9697 0.960 0.004 0.000 0.036
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0188     0.5263 0.000 0.996 0.004 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.5228     0.8665 0.024 0.000 0.664 0.312
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.5594    -0.8647 0.000 0.520 0.020 0.460
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.1833     0.7949 0.024 0.000 0.944 0.032
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.1576     0.9613 0.948 0.004 0.000 0.048
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.1936     0.7941 0.028 0.000 0.940 0.032
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.3441     0.8236 0.024 0.000 0.856 0.120
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.4746    -0.4080 0.000 0.632 0.000 0.368
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0188     0.9779 0.996 0.004 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.4996    -0.8772 0.000 0.516 0.000 0.484
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0895     0.9729 0.976 0.004 0.000 0.020
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.1109     0.9697 0.968 0.004 0.000 0.028
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.4996    -0.8772 0.000 0.516 0.000 0.484
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.4941    -0.6557 0.000 0.564 0.000 0.436
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.5264 0.000 1.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.4996    -0.8772 0.000 0.516 0.000 0.484
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.5264 0.000 1.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.4996    -0.8772 0.000 0.516 0.000 0.484
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.5597    -0.8792 0.000 0.516 0.020 0.464
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0188     0.5263 0.000 0.996 0.004 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.1109     0.9676 0.968 0.000 0.004 0.028
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.5510     0.8670 0.024 0.000 0.600 0.376
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.2216     0.4600 0.000 0.908 0.000 0.092
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0188     0.9779 0.996 0.004 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0188     0.5263 0.000 0.996 0.004 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.5523     0.8660 0.024 0.000 0.596 0.380
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.3404     0.7301 0.104 0.000 0.864 0.032
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.5607     0.9159 0.000 0.488 0.020 0.492
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.5592     0.8645 0.024 0.000 0.572 0.404
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.1936     0.7941 0.028 0.000 0.940 0.032
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0188     0.9779 0.996 0.004 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.5228     0.8665 0.024 0.000 0.664 0.312
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.5264 0.000 1.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.5594    -0.8647 0.000 0.520 0.020 0.460
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.4961    -0.7747 0.000 0.552 0.000 0.448
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0188     0.9779 0.996 0.004 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.4095     0.8381 0.024 0.000 0.804 0.172
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0188     0.5263 0.000 0.996 0.004 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.1109     0.9697 0.968 0.004 0.000 0.028
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.5607    -0.9427 0.000 0.492 0.020 0.488
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.5602     0.8645 0.024 0.000 0.568 0.408
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.1004     0.8064 0.024 0.000 0.972 0.004
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0188     0.9779 0.996 0.004 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.4941    -0.6557 0.000 0.564 0.000 0.436
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.5594    -0.8647 0.000 0.520 0.020 0.460
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.5602     0.8645 0.024 0.000 0.568 0.408
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0188     0.5263 0.000 0.996 0.004 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0188     0.5251 0.000 0.996 0.000 0.004
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0188     0.9779 0.996 0.004 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.4996    -0.8772 0.000 0.516 0.000 0.484
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     4  0.4996     0.9373 0.000 0.484 0.000 0.516
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.5582     0.8643 0.024 0.000 0.576 0.400
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0188     0.5263 0.000 0.996 0.004 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.1978     0.4809 0.000 0.928 0.004 0.068
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.5264 0.000 1.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0188     0.9779 0.996 0.004 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000     0.5264 0.000 1.000 0.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.1398     0.9651 0.956 0.004 0.000 0.040
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.2081     0.4606 0.000 0.916 0.000 0.084
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0188     0.9779 0.996 0.004 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.2021     0.4772 0.000 0.932 0.012 0.056
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.4609     0.1439 0.000 0.752 0.024 0.224
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.4431    -0.0983 0.000 0.696 0.000 0.304
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.5602     0.8645 0.024 0.000 0.568 0.408
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.5228     0.8665 0.024 0.000 0.664 0.312
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0188     0.9779 0.996 0.004 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.1743     0.9570 0.940 0.004 0.000 0.056
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.1398     0.9651 0.956 0.004 0.000 0.040
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.4927     0.0340 0.000 0.712 0.024 0.264
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.5592     0.8645 0.024 0.000 0.572 0.404
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.5592     0.8645 0.024 0.000 0.572 0.404
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.1389     0.4968 0.000 0.952 0.000 0.048
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.1867     0.4797 0.000 0.928 0.000 0.072
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.1109     0.9697 0.968 0.004 0.000 0.028
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.5523     0.8669 0.024 0.000 0.596 0.380
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000     0.5264 0.000 1.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.1296     0.9721 0.964 0.004 0.004 0.028
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.4781    -0.2714 0.000 0.660 0.004 0.336
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.5228     0.8665 0.024 0.000 0.664 0.312
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.1109     0.9697 0.968 0.004 0.000 0.028
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.2053     0.9465 0.924 0.004 0.000 0.072
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.5594    -0.8647 0.000 0.520 0.020 0.460
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0188     0.5263 0.000 0.996 0.004 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.4139     0.2723 0.000 0.800 0.024 0.176
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0188     0.9779 0.996 0.004 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.5602    -0.9062 0.000 0.508 0.020 0.472
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.5602     0.8645 0.024 0.000 0.568 0.408
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.4996    -0.8772 0.000 0.516 0.000 0.484
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.4331    -0.0256 0.000 0.712 0.000 0.288
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.5594    -0.8647 0.000 0.520 0.020 0.460
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0188     0.9779 0.996 0.004 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0524     0.9742 0.988 0.008 0.004 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.5602     0.8645 0.024 0.000 0.568 0.408
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0188     0.5263 0.000 0.996 0.004 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.1398     0.9651 0.956 0.004 0.000 0.040
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.5108    -0.2255 0.000 0.672 0.020 0.308
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.2486     0.9362 0.920 0.004 0.048 0.028
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     4  0.5000     0.9279 0.000 0.496 0.000 0.504
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.3245     0.8870 0.872 0.000 0.100 0.028
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0188     0.9779 0.996 0.004 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000     0.5264 0.000 1.000 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0188     0.9779 0.996 0.004 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.4164     0.0773 0.000 0.736 0.000 0.264
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0188     0.9779 0.996 0.004 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.5592     0.8645 0.024 0.000 0.572 0.404
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0188     0.5263 0.000 0.996 0.004 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     0.5264 0.000 1.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0188     0.9779 0.996 0.004 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.4961    -0.7115 0.000 0.552 0.000 0.448
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.5582     0.8654 0.024 0.000 0.576 0.400
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0188     0.9779 0.996 0.004 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.4877    -0.5594 0.000 0.592 0.000 0.408
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.5228     0.8665 0.024 0.000 0.664 0.312
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.1833     0.8084 0.024 0.000 0.944 0.032
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0188     0.9779 0.996 0.004 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.1082     0.9719 0.972 0.004 0.004 0.020
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.5784     0.0474 0.412 0.000 0.556 0.032
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.5510     0.8670 0.024 0.000 0.600 0.376
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.1109     0.9697 0.968 0.004 0.000 0.028
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.1822     0.9590 0.944 0.008 0.004 0.044
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.4800    -0.3159 0.000 0.656 0.004 0.340
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.5594    -0.8647 0.000 0.520 0.020 0.460
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.1743     0.9570 0.940 0.004 0.000 0.056
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.4095     0.2805 0.000 0.804 0.024 0.172
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.5597    -0.8730 0.000 0.516 0.020 0.464
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0524     0.9763 0.988 0.004 0.000 0.008
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0188     0.5263 0.000 0.996 0.004 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.1004     0.8064 0.024 0.000 0.972 0.004
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.4431    -0.0983 0.000 0.696 0.000 0.304
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.5558    -0.7921 0.000 0.548 0.020 0.432
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.2984     0.7655 0.084 0.000 0.888 0.028
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.1936     0.7941 0.028 0.000 0.940 0.032
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0188     0.5263 0.000 0.996 0.004 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.4996    -0.8772 0.000 0.516 0.000 0.484
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     0.5264 0.000 1.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.5228     0.8665 0.024 0.000 0.664 0.312
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0188     0.5251 0.000 0.996 0.000 0.004
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000     0.5264 0.000 1.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.4454    -0.1176 0.000 0.692 0.000 0.308
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.5594    -0.8647 0.000 0.520 0.020 0.460
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0188     0.5251 0.000 0.996 0.000 0.004
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0188     0.5251 0.000 0.996 0.000 0.004
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.4464     0.8574 0.024 0.000 0.768 0.208
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.4008     0.1665 0.000 0.756 0.000 0.244
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0188     0.5263 0.000 0.996 0.004 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.5594    -0.8647 0.000 0.520 0.020 0.460
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.3427     0.8747 0.860 0.000 0.112 0.028
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.3143     0.8225 0.024 0.000 0.876 0.100
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0188     0.5251 0.000 0.996 0.000 0.004
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.5228     0.8665 0.024 0.000 0.664 0.312
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.1833     0.8084 0.024 0.000 0.944 0.032

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.2482      0.899 0.892 0.000 0.000 0.084 0.024
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.4949     -0.117 0.000 0.572 0.000 0.396 0.032
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.4804     -0.112 0.000 0.000 0.636 0.036 0.328
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0162      0.930 0.996 0.000 0.000 0.004 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.2927      0.896 0.868 0.000 0.000 0.092 0.040
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0404      0.815 0.000 0.988 0.000 0.000 0.012
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.3741      0.680 0.000 0.000 0.816 0.076 0.108
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.6250      0.751 0.000 0.256 0.000 0.540 0.204
#> 211FD575-40D6-4E44-818F-3A382F4634DA     5  0.4425      0.748 0.000 0.000 0.392 0.008 0.600
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.3477      0.856 0.832 0.000 0.000 0.056 0.112
#> 12078907-435A-46C9-96C1-24E71BF4602D     5  0.4161      0.751 0.000 0.000 0.392 0.000 0.608
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.4836     -0.165 0.000 0.000 0.628 0.036 0.336
#> 1709294C-7194-493D-AF5C-574927F57C0C     4  0.5086      0.609 0.000 0.396 0.000 0.564 0.040
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     4  0.3942      0.788 0.000 0.260 0.000 0.728 0.012
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.1364      0.918 0.952 0.000 0.000 0.012 0.036
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.2482      0.899 0.892 0.000 0.000 0.084 0.024
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     4  0.3942      0.788 0.000 0.260 0.000 0.728 0.012
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     4  0.4679      0.743 0.000 0.316 0.000 0.652 0.032
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0794      0.810 0.000 0.972 0.000 0.000 0.028
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     4  0.3715      0.789 0.000 0.260 0.000 0.736 0.004
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0703      0.811 0.000 0.976 0.000 0.000 0.024
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     4  0.3942      0.788 0.000 0.260 0.000 0.728 0.012
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.6250      0.751 0.000 0.256 0.000 0.540 0.204
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0404      0.815 0.000 0.988 0.000 0.000 0.012
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.2597      0.896 0.884 0.000 0.000 0.092 0.024
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.2221      0.709 0.000 0.000 0.912 0.036 0.052
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.4708      0.336 0.000 0.668 0.000 0.292 0.040
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0404      0.815 0.000 0.988 0.000 0.000 0.012
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.1018      0.764 0.000 0.000 0.968 0.016 0.016
#> E6F801F4-9289-4623-B7D9-60CA56C71683     5  0.5854      0.651 0.092 0.000 0.300 0.012 0.596
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.6345      0.743 0.000 0.252 0.000 0.524 0.224
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.1671      0.748 0.000 0.000 0.924 0.076 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     5  0.4666      0.744 0.004 0.000 0.388 0.012 0.596
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0162      0.930 0.996 0.000 0.000 0.004 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.3741      0.680 0.000 0.000 0.816 0.076 0.108
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0794      0.810 0.000 0.972 0.000 0.000 0.028
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.6286      0.753 0.000 0.264 0.000 0.532 0.204
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     4  0.4109      0.779 0.000 0.288 0.000 0.700 0.012
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0162      0.930 0.996 0.000 0.000 0.004 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.4550      0.124 0.000 0.000 0.688 0.036 0.276
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0404      0.815 0.000 0.988 0.000 0.000 0.012
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.2482      0.899 0.892 0.000 0.000 0.084 0.024
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.5983      0.769 0.000 0.252 0.000 0.580 0.168
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.768 0.000 0.000 1.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     5  0.4481      0.723 0.000 0.000 0.416 0.008 0.576
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0162      0.930 0.996 0.000 0.000 0.004 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     4  0.4679      0.743 0.000 0.316 0.000 0.652 0.032
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.6286      0.753 0.000 0.264 0.000 0.532 0.204
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.768 0.000 0.000 1.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0404      0.815 0.000 0.988 0.000 0.000 0.012
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0865      0.810 0.000 0.972 0.000 0.004 0.024
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     4  0.3561      0.789 0.000 0.260 0.000 0.740 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     4  0.4141      0.784 0.000 0.248 0.000 0.728 0.024
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.2694      0.708 0.000 0.000 0.884 0.040 0.076
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0404      0.815 0.000 0.988 0.000 0.000 0.012
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.3932      0.659 0.000 0.796 0.000 0.064 0.140
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0290      0.815 0.000 0.992 0.000 0.000 0.008
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0290      0.930 0.992 0.000 0.000 0.008 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0566      0.814 0.000 0.984 0.000 0.004 0.012
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.3216      0.862 0.848 0.000 0.000 0.044 0.108
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.2959      0.699 0.000 0.864 0.000 0.100 0.036
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0162      0.931 0.996 0.000 0.000 0.004 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.3558      0.667 0.000 0.828 0.000 0.064 0.108
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.6120     -0.029 0.000 0.560 0.000 0.256 0.184
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     4  0.5109      0.466 0.000 0.460 0.000 0.504 0.036
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.768 0.000 0.000 1.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.3741      0.680 0.000 0.000 0.816 0.076 0.108
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.3477      0.856 0.832 0.000 0.000 0.056 0.112
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.3216      0.862 0.848 0.000 0.000 0.044 0.108
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.6381     -0.174 0.000 0.512 0.000 0.276 0.212
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0162      0.768 0.000 0.000 0.996 0.004 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0162      0.768 0.000 0.000 0.996 0.004 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.3090      0.708 0.000 0.856 0.000 0.104 0.040
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.4096      0.554 0.000 0.760 0.000 0.200 0.040
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.2423      0.899 0.896 0.000 0.000 0.080 0.024
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.2221      0.709 0.000 0.000 0.912 0.036 0.052
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0510      0.816 0.000 0.984 0.000 0.000 0.016
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.3102      0.887 0.860 0.000 0.000 0.056 0.084
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     4  0.5003      0.575 0.000 0.424 0.000 0.544 0.032
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.3741      0.680 0.000 0.000 0.816 0.076 0.108
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.2482      0.899 0.892 0.000 0.000 0.084 0.024
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.3527      0.853 0.828 0.000 0.000 0.056 0.116
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.6286      0.753 0.000 0.264 0.000 0.532 0.204
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0404      0.815 0.000 0.988 0.000 0.000 0.012
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.5222      0.335 0.000 0.680 0.000 0.196 0.124
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.1671      0.913 0.924 0.000 0.000 0.076 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     4  0.5929      0.770 0.000 0.260 0.000 0.584 0.156
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.768 0.000 0.000 1.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     4  0.3835      0.788 0.000 0.260 0.000 0.732 0.008
#> DD36DD53-C576-44EF-A68B-E009B37A2385     4  0.5177      0.431 0.000 0.472 0.000 0.488 0.040
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.6286      0.753 0.000 0.264 0.000 0.532 0.204
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.768 0.000 0.000 1.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0404      0.815 0.000 0.988 0.000 0.000 0.012
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.3289      0.861 0.844 0.000 0.000 0.048 0.108
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.6570     -0.433 0.000 0.440 0.000 0.348 0.212
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.3702      0.843 0.820 0.000 0.000 0.084 0.096
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     4  0.4080      0.786 0.000 0.252 0.000 0.728 0.020
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.4280      0.790 0.772 0.000 0.000 0.088 0.140
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      0.815 0.000 1.000 0.000 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0290      0.930 0.992 0.000 0.000 0.008 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.5114     -0.398 0.000 0.492 0.000 0.472 0.036
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0162      0.767 0.000 0.000 0.996 0.004 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0510      0.814 0.000 0.984 0.000 0.000 0.016
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0671      0.813 0.000 0.980 0.000 0.004 0.016
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0290      0.930 0.992 0.000 0.000 0.008 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     4  0.4584      0.746 0.000 0.312 0.000 0.660 0.028
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0510      0.767 0.000 0.000 0.984 0.016 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0162      0.930 0.996 0.000 0.000 0.004 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.4747      0.726 0.000 0.332 0.000 0.636 0.032
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.3741      0.680 0.000 0.000 0.816 0.076 0.108
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     5  0.5111      0.617 0.000 0.000 0.464 0.036 0.500
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0992      0.924 0.968 0.000 0.000 0.008 0.024
#> B18217F7-303C-4104-848E-A354DADE72BF     5  0.5611      0.358 0.328 0.000 0.064 0.012 0.596
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.2221      0.709 0.000 0.000 0.912 0.036 0.052
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.2482      0.899 0.892 0.000 0.000 0.084 0.024
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.3289      0.861 0.844 0.000 0.000 0.048 0.108
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     4  0.4723      0.563 0.000 0.448 0.000 0.536 0.016
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.6286      0.753 0.000 0.264 0.000 0.532 0.204
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.3409      0.856 0.836 0.000 0.000 0.052 0.112
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.5159      0.352 0.000 0.688 0.000 0.188 0.124
#> 16A70057-AF47-4934-992E-3E9CF6E74684     4  0.6083      0.765 0.000 0.260 0.000 0.564 0.176
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0290      0.929 0.992 0.000 0.000 0.000 0.008
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0671      0.814 0.000 0.980 0.000 0.004 0.016
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     5  0.4481      0.723 0.000 0.000 0.416 0.008 0.576
#> 879DC385-8E19-410C-8C04-0B7015FB7289     4  0.5109      0.466 0.000 0.460 0.000 0.504 0.036
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.6416      0.720 0.000 0.292 0.000 0.500 0.208
#> 864194B9-3525-439D-84A4-EA257300335C     5  0.7500      0.547 0.100 0.000 0.364 0.112 0.424
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     5  0.4161      0.751 0.000 0.000 0.392 0.000 0.608
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0404      0.815 0.000 0.988 0.000 0.000 0.012
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     4  0.4040      0.787 0.000 0.260 0.000 0.724 0.016
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0290      0.815 0.000 0.992 0.000 0.000 0.008
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.3741      0.680 0.000 0.000 0.816 0.076 0.108
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.1251      0.805 0.000 0.956 0.000 0.008 0.036
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.1041      0.809 0.000 0.964 0.000 0.004 0.032
#> 4022B5D9-8B67-45C3-867B-A72129500F86     4  0.5289      0.484 0.000 0.452 0.000 0.500 0.048
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.6286      0.753 0.000 0.264 0.000 0.532 0.204
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.1124      0.805 0.000 0.960 0.000 0.004 0.036
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.2077      0.777 0.000 0.920 0.000 0.040 0.040
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.5010      0.382 0.000 0.000 0.688 0.088 0.224
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.5828     -0.284 0.000 0.520 0.000 0.380 0.100
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0404      0.815 0.000 0.988 0.000 0.000 0.012
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     4  0.6286      0.753 0.000 0.264 0.000 0.532 0.204
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.4238      0.797 0.776 0.000 0.000 0.088 0.136
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.4946     -0.283 0.000 0.000 0.596 0.036 0.368
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.1041      0.807 0.000 0.964 0.000 0.004 0.032
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.3741      0.680 0.000 0.000 0.816 0.076 0.108
#> 5F1797CC-C35C-44D4-867B-9824FE037552     5  0.5111      0.617 0.000 0.000 0.464 0.036 0.500

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.3459    0.80571 0.768 0.004 0.000 0.212 0.000 0.016
#> 11C93F5A-2187-484A-805D-BB696C1B9032     4  0.6238    0.53120 0.000 0.300 0.000 0.356 0.340 0.004
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.5697   -0.27173 0.000 0.024 0.484 0.088 0.000 0.404
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0260    0.88061 0.992 0.008 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.3886    0.78870 0.708 0.000 0.000 0.264 0.000 0.028
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.3355    0.84172 0.000 0.828 0.000 0.016 0.116 0.040
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.4213    0.71275 0.000 0.040 0.780 0.080 0.000 0.100
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     5  0.1065    0.46323 0.000 0.020 0.000 0.008 0.964 0.008
#> 211FD575-40D6-4E44-818F-3A382F4634DA     6  0.3043    0.81540 0.000 0.000 0.200 0.008 0.000 0.792
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.4261    0.79357 0.780 0.036 0.000 0.112 0.004 0.068
#> 12078907-435A-46C9-96C1-24E71BF4602D     6  0.2933    0.81623 0.000 0.004 0.200 0.000 0.000 0.796
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#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.4477    0.72924 0.000 0.740 0.000 0.124 0.120 0.016
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.6160    0.34390 0.000 0.052 0.560 0.148 0.000 0.240
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     5  0.6498   -0.50074 0.000 0.212 0.000 0.316 0.440 0.032
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.4146    0.82519 0.000 0.776 0.000 0.024 0.120 0.080
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     5  0.0951    0.46492 0.000 0.020 0.000 0.004 0.968 0.008
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.4888    0.69663 0.644 0.000 0.000 0.240 0.000 0.116
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     6  0.5704    0.42030 0.000 0.024 0.412 0.088 0.000 0.476
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.2971    0.83684 0.000 0.848 0.000 0.024 0.116 0.012
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.4213    0.71275 0.000 0.040 0.780 0.080 0.000 0.100
#> 5F1797CC-C35C-44D4-867B-9824FE037552     6  0.5147    0.73023 0.000 0.024 0.252 0.080 0.000 0.644

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-CV-kmeans-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-CV-kmeans-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-CV-kmeans-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-CV-kmeans-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-CV-kmeans-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-CV-kmeans-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-CV-kmeans-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-CV-kmeans-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-CV-kmeans-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-CV-kmeans-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-CV-kmeans-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-CV-kmeans-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-CV-kmeans-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-CV-kmeans-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-CV-kmeans-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-CV-kmeans-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-CV-kmeans-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-CV-kmeans-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-CV-kmeans-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-CV-kmeans-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk CV-kmeans-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-CV-kmeans-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-CV-kmeans-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-CV-kmeans-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-CV-kmeans-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-CV-kmeans-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk CV-kmeans-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


CV:skmeans**

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["CV", "skmeans"]
# you can also extract it by
# res = res_list["CV:skmeans"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#>   Subgroups are detected by 'skmeans' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 3.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk CV-skmeans-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk CV-skmeans-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 1.000           0.997       0.999         0.5034 0.497   0.497
#> 3 3 1.000           0.994       0.998         0.2624 0.868   0.734
#> 4 4 0.840           0.895       0.925         0.1711 0.881   0.673
#> 5 5 0.839           0.760       0.855         0.0558 0.978   0.913
#> 6 6 0.815           0.769       0.813         0.0372 0.933   0.729

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2

There is also optional best \(k\) = 2 that is worth to check.

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette    p1    p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1   0.000      0.997 1.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2   0.000      1.000 0.000 1.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1   0.000      0.997 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1   0.000      0.997 1.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1   0.000      0.997 1.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2   0.000      1.000 0.000 1.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1   0.000      0.997 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2   0.000      1.000 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1   0.000      0.997 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1   0.000      0.997 1.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     1   0.000      0.997 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     1   0.000      0.997 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2   0.000      1.000 0.000 1.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1   0.000      0.997 1.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2   0.000      1.000 0.000 1.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1   0.000      0.997 1.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1   0.000      0.997 1.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2   0.000      1.000 0.000 1.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2   0.000      1.000 0.000 1.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2   0.000      1.000 0.000 1.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2   0.000      1.000 0.000 1.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2   0.000      1.000 0.000 1.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2   0.000      1.000 0.000 1.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2   0.000      1.000 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2   0.000      1.000 0.000 1.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1   0.000      0.997 1.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1   0.000      0.997 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2   0.000      1.000 0.000 1.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1   0.000      0.997 1.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2   0.000      1.000 0.000 1.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1   0.000      0.997 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1   0.000      0.997 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2   0.000      1.000 0.000 1.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1   0.000      0.997 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1   0.000      0.997 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1   0.000      0.997 1.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1   0.000      0.997 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2   0.000      1.000 0.000 1.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2   0.000      1.000 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2   0.000      1.000 0.000 1.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1   0.000      0.997 1.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1   0.000      0.997 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2   0.000      1.000 0.000 1.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1   0.000      0.997 1.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2   0.000      1.000 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1   0.000      0.997 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1   0.000      0.997 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1   0.000      0.997 1.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2   0.000      1.000 0.000 1.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2   0.000      1.000 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1   0.000      0.997 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2   0.000      1.000 0.000 1.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2   0.000      1.000 0.000 1.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1   0.000      0.997 1.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2   0.000      1.000 0.000 1.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2   0.000      1.000 0.000 1.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1   0.000      0.997 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2   0.000      1.000 0.000 1.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2   0.000      1.000 0.000 1.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2   0.000      1.000 0.000 1.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1   0.000      0.997 1.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2   0.000      1.000 0.000 1.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1   0.000      0.997 1.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2   0.000      1.000 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1   0.000      0.997 1.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2   0.000      1.000 0.000 1.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2   0.000      1.000 0.000 1.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2   0.000      1.000 0.000 1.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     1   0.000      0.997 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1   0.000      0.997 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1   0.000      0.997 1.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1   0.000      0.997 1.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1   0.000      0.997 1.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2   0.000      1.000 0.000 1.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1   0.000      0.997 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1   0.000      0.997 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2   0.000      1.000 0.000 1.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2   0.000      1.000 0.000 1.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1   0.000      0.997 1.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     1   0.000      0.997 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2   0.000      1.000 0.000 1.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1   0.000      0.997 1.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2   0.000      1.000 0.000 1.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1   0.000      0.997 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1   0.000      0.997 1.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1   0.000      0.997 1.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2   0.000      1.000 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2   0.000      1.000 0.000 1.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2   0.000      1.000 0.000 1.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1   0.000      0.997 1.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2   0.000      1.000 0.000 1.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1   0.000      0.997 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2   0.000      1.000 0.000 1.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2   0.000      1.000 0.000 1.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2   0.000      1.000 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1   0.000      0.997 1.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1   0.000      0.997 1.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     1   0.000      0.997 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2   0.000      1.000 0.000 1.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1   0.000      0.997 1.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2   0.000      1.000 0.000 1.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1   0.000      0.997 1.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2   0.000      1.000 0.000 1.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1   0.000      0.997 1.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1   0.000      0.997 1.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2   0.000      1.000 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1   0.000      0.997 1.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2   0.000      1.000 0.000 1.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1   0.000      0.997 1.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1   0.000      0.997 1.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2   0.000      1.000 0.000 1.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2   0.000      1.000 0.000 1.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1   0.000      0.997 1.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2   0.000      1.000 0.000 1.000
#> 86689648-2C4A-456F-A551-B9731400846C     1   0.000      0.997 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1   0.000      0.997 1.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2   0.000      1.000 0.000 1.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     1   0.000      0.997 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1   0.000      0.997 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1   0.000      0.997 1.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1   0.000      0.997 1.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     1   0.000      0.997 1.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1   0.000      0.997 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1   0.000      0.997 1.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1   0.738      0.737 0.792 0.208
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2   0.000      1.000 0.000 1.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2   0.000      1.000 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1   0.000      0.997 1.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2   0.000      1.000 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2   0.000      1.000 0.000 1.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1   0.000      0.997 1.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2   0.000      1.000 0.000 1.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1   0.000      0.997 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2   0.000      1.000 0.000 1.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2   0.000      1.000 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     1   0.000      0.997 1.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1   0.000      0.997 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2   0.000      1.000 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2   0.000      1.000 0.000 1.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2   0.000      1.000 0.000 1.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1   0.000      0.997 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2   0.000      1.000 0.000 1.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2   0.000      1.000 0.000 1.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2   0.000      1.000 0.000 1.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2   0.000      1.000 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2   0.000      1.000 0.000 1.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2   0.000      1.000 0.000 1.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1   0.000      0.997 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2   0.000      1.000 0.000 1.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2   0.000      1.000 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2   0.000      1.000 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1   0.000      0.997 1.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1   0.000      0.997 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2   0.000      1.000 0.000 1.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     1   0.000      0.997 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1   0.000      0.997 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1 p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.991 1.000  0 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      1.000 0.000  1 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      1.000 0.000  0 1.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.991 1.000  0 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.0000      0.991 1.000  0 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      1.000 0.000  1 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      1.000 0.000  0 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0000      1.000 0.000  1 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000      1.000 0.000  0 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000      0.991 1.000  0 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000      1.000 0.000  0 1.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      1.000 0.000  0 1.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      1.000 0.000  1 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.991 1.000  0 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      1.000 0.000  1 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      0.991 1.000  0 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      0.991 1.000  0 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      1.000 0.000  1 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      1.000 0.000  1 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      1.000 0.000  1 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      1.000 0.000  1 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      1.000 0.000  1 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      1.000 0.000  1 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      1.000 0.000  1 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      1.000 0.000  1 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.5810      0.495 0.664  0 0.336
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      1.000 0.000  0 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      1.000 0.000  1 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.991 1.000  0 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      1.000 0.000  1 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      1.000 0.000  0 1.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0000      1.000 0.000  0 1.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.0000      1.000 0.000  1 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      1.000 0.000  0 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0000      1.000 0.000  0 1.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.991 1.000  0 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      1.000 0.000  0 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      1.000 0.000  1 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000      1.000 0.000  1 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      1.000 0.000  1 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.991 1.000  0 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      1.000 0.000  0 1.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0000      1.000 0.000  1 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.991 1.000  0 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000      1.000 0.000  1 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      1.000 0.000  0 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      1.000 0.000  0 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.991 1.000  0 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      1.000 0.000  1 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000      1.000 0.000  1 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      1.000 0.000  0 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      1.000 0.000  1 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      1.000 0.000  1 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.991 1.000  0 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      1.000 0.000  1 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      1.000 0.000  1 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000      1.000 0.000  0 1.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      1.000 0.000  1 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      1.000 0.000  1 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      1.000 0.000  1 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.991 1.000  0 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      1.000 0.000  1 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.991 1.000  0 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      1.000 0.000  1 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.991 1.000  0 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      1.000 0.000  1 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      1.000 0.000  1 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      1.000 0.000  1 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      1.000 0.000  0 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      1.000 0.000  0 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.991 1.000  0 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000      0.991 1.000  0 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.991 1.000  0 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000      1.000 0.000  1 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      1.000 0.000  0 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      1.000 0.000  0 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      1.000 0.000  1 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      1.000 0.000  1 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.991 1.000  0 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      1.000 0.000  0 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      1.000 0.000  1 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.0000      0.991 1.000  0 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      1.000 0.000  1 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000      1.000 0.000  0 1.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      0.991 1.000  0 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000      0.991 1.000  0 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000      1.000 0.000  1 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      1.000 0.000  1 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      1.000 0.000  1 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      0.991 1.000  0 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      1.000 0.000  1 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      1.000 0.000  0 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      1.000 0.000  1 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      1.000 0.000  1 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000      1.000 0.000  1 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.991 1.000  0 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.991 1.000  0 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      1.000 0.000  0 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      1.000 0.000  1 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      0.991 1.000  0 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      1.000 0.000  1 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0892      0.972 0.980  0 0.020
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      1.000 0.000  1 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.0000      1.000 0.000  0 1.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.991 1.000  0 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      1.000 0.000  1 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.991 1.000  0 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      1.000 0.000  1 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.991 1.000  0 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000      1.000 0.000  0 1.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      1.000 0.000  1 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      1.000 0.000  1 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.991 1.000  0 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      1.000 0.000  1 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      1.000 0.000  0 1.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.991 1.000  0 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      1.000 0.000  1 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      1.000 0.000  0 1.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      1.000 0.000  0 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.991 1.000  0 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      0.991 1.000  0 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0000      1.000 0.000  0 1.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      1.000 0.000  0 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.991 1.000  0 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      0.991 1.000  0 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      1.000 0.000  1 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000      1.000 0.000  1 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      0.991 1.000  0 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      1.000 0.000  1 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      1.000 0.000  1 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.991 1.000  0 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      1.000 0.000  1 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      1.000 0.000  0 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      1.000 0.000  1 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000      1.000 0.000  1 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.0000      1.000 0.000  0 1.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000      1.000 0.000  0 1.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      1.000 0.000  1 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      1.000 0.000  1 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      1.000 0.000  1 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      1.000 0.000  0 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      1.000 0.000  1 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      1.000 0.000  1 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      1.000 0.000  1 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      1.000 0.000  1 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      1.000 0.000  1 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      1.000 0.000  1 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      1.000 0.000  0 1.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      1.000 0.000  1 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      1.000 0.000  1 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      1.000 0.000  1 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.0000      1.000 0.000  0 1.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      1.000 0.000  0 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      1.000 0.000  1 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      1.000 0.000  0 1.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      1.000 0.000  0 1.000

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.2530     0.9287 0.888 0.000 0.000 0.112
#> 11C93F5A-2187-484A-805D-BB696C1B9032     4  0.4304     0.7524 0.000 0.284 0.000 0.716
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.2408     0.9322 0.896 0.000 0.000 0.104
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0921     0.9808 0.000 0.000 0.972 0.028
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0921     0.9808 0.000 0.000 0.972 0.028
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     4  0.2760     0.9223 0.000 0.128 0.000 0.872
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.2530     0.9287 0.888 0.000 0.000 0.112
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.6370     0.5569 0.620 0.000 0.280 0.100
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.2149     0.8338 0.000 0.912 0.000 0.088
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0921     0.9808 0.000 0.000 0.972 0.028
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0921     0.9808 0.000 0.000 0.972 0.028
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.2530     0.9287 0.888 0.000 0.000 0.112
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0921     0.9808 0.000 0.000 0.972 0.028
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.2760     0.7861 0.000 0.872 0.000 0.128
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.2704     0.7906 0.000 0.876 0.000 0.124
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.2081     0.9402 0.916 0.000 0.000 0.084
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.4406     0.4446 0.000 0.700 0.000 0.300
#> 1339CB34-B996-470A-9710-0649DD05D18A     4  0.4907     0.4698 0.000 0.420 0.000 0.580
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     4  0.4994     0.2702 0.000 0.480 0.000 0.520
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.4679     0.6269 0.000 0.352 0.000 0.648
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.1792     0.8545 0.000 0.932 0.000 0.068
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.1867     0.8506 0.000 0.928 0.000 0.072
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.2530     0.9287 0.888 0.000 0.000 0.112
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.2216     0.9370 0.908 0.000 0.000 0.092
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     4  0.3444     0.8701 0.000 0.184 0.000 0.816
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.2530     0.9287 0.888 0.000 0.000 0.112
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.4843     0.1606 0.000 0.604 0.000 0.396
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.2216     0.9370 0.908 0.000 0.000 0.092
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.4989    -0.1354 0.000 0.528 0.000 0.472
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     4  0.4193     0.7693 0.000 0.268 0.000 0.732
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.2976     0.9191 0.872 0.000 0.008 0.120
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.2647     0.9105 0.000 0.000 0.880 0.120
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0707     0.9624 0.980 0.000 0.000 0.020
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.4972    -0.0713 0.000 0.544 0.000 0.456
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.2814     0.9188 0.000 0.132 0.000 0.868
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0921     0.9808 0.000 0.000 0.972 0.028
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0921     0.9808 0.000 0.000 0.972 0.028
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.2530     0.9287 0.888 0.000 0.000 0.112
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     4  0.2704     0.9252 0.000 0.124 0.000 0.876
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.4830     0.1749 0.000 0.608 0.000 0.392
#> 16A70057-AF47-4934-992E-3E9CF6E74684     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9685 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0921     0.9808 0.000 0.000 0.972 0.028
#> 879DC385-8E19-410C-8C04-0B7015FB7289     4  0.4996     0.2567 0.000 0.484 0.000 0.516
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.2704     0.9251 0.000 0.124 0.000 0.876
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.1022     0.9788 0.000 0.000 0.968 0.032
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0921     0.9808 0.000 0.000 0.972 0.028
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     4  0.4643     0.6253 0.000 0.344 0.000 0.656
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     4  0.4605     0.6485 0.000 0.336 0.000 0.664
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     4  0.2647     0.9279 0.000 0.120 0.000 0.880
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.2647     0.9105 0.000 0.000 0.880 0.120
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0336     0.9870 0.000 0.000 0.992 0.008
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000     0.9112 0.000 1.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000     0.9892 0.000 0.000 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0707     0.9835 0.000 0.000 0.980 0.020

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.4249     0.3571 0.568 0.000 0.000 0.000 0.432
#> 11C93F5A-2187-484A-805D-BB696C1B9032     4  0.6687     0.5989 0.000 0.264 0.000 0.432 0.304
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.1830     0.8571 0.000 0.000 0.924 0.008 0.068
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.8246 1.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.4235     0.3848 0.576 0.000 0.000 0.000 0.424
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0162     0.8852 0.000 0.000 0.996 0.000 0.004
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.0794     0.7697 0.000 0.028 0.000 0.972 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.3849     0.7366 0.000 0.000 0.752 0.016 0.232
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.1740     0.7996 0.932 0.000 0.000 0.012 0.056
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.3849     0.7366 0.000 0.000 0.752 0.016 0.232
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.1628     0.8631 0.000 0.000 0.936 0.008 0.056
#> 1709294C-7194-493D-AF5C-574927F57C0C     4  0.4623     0.8219 0.000 0.032 0.000 0.664 0.304
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.8246 1.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     4  0.4546     0.8231 0.000 0.028 0.000 0.668 0.304
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0290     0.8225 0.992 0.000 0.000 0.000 0.008
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.4249     0.3571 0.568 0.000 0.000 0.000 0.432
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     4  0.4546     0.8231 0.000 0.028 0.000 0.668 0.304
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     4  0.4546     0.8231 0.000 0.028 0.000 0.668 0.304
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     4  0.4546     0.8231 0.000 0.028 0.000 0.668 0.304
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     4  0.4546     0.8231 0.000 0.028 0.000 0.668 0.304
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.0794     0.7697 0.000 0.028 0.000 0.972 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.5919     0.1303 0.480 0.000 0.104 0.000 0.416
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.8857 0.000 0.000 1.000 0.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.6071     0.2380 0.000 0.548 0.000 0.152 0.300
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.8246 1.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000     0.8857 0.000 0.000 1.000 0.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.3934     0.7213 0.000 0.000 0.740 0.016 0.244
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.0703     0.7674 0.000 0.024 0.000 0.976 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.8857 0.000 0.000 1.000 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.3906     0.7267 0.000 0.000 0.744 0.016 0.240
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.8246 1.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0162     0.8852 0.000 0.000 0.996 0.000 0.004
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0794     0.7697 0.000 0.028 0.000 0.972 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     4  0.4546     0.8231 0.000 0.028 0.000 0.668 0.304
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.8246 1.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.1197     0.8693 0.000 0.000 0.952 0.000 0.048
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0404     0.9141 0.000 0.988 0.000 0.012 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.4249     0.3571 0.568 0.000 0.000 0.000 0.432
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.0955     0.7709 0.000 0.028 0.000 0.968 0.004
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.8857 0.000 0.000 1.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.3849     0.7366 0.000 0.000 0.752 0.016 0.232
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.8246 1.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     4  0.4465     0.8211 0.000 0.024 0.000 0.672 0.304
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.0794     0.7697 0.000 0.028 0.000 0.972 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.8857 0.000 0.000 1.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.8246 1.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     4  0.4546     0.8231 0.000 0.028 0.000 0.668 0.304
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     4  0.4465     0.8211 0.000 0.024 0.000 0.672 0.304
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000     0.8857 0.000 0.000 1.000 0.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.4263     0.6974 0.000 0.760 0.000 0.180 0.060
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.1671     0.7881 0.924 0.000 0.000 0.000 0.076
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.1484     0.8038 0.944 0.000 0.000 0.008 0.048
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.3421     0.6859 0.000 0.788 0.000 0.204 0.008
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.3109     0.6767 0.800 0.000 0.000 0.000 0.200
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.3983     0.5542 0.000 0.660 0.000 0.340 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     4  0.4192     0.1256 0.000 0.404 0.000 0.596 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     4  0.5765     0.7732 0.000 0.116 0.000 0.580 0.304
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.8857 0.000 0.000 1.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0162     0.8852 0.000 0.000 0.996 0.000 0.004
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.8246 1.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.1740     0.7996 0.932 0.000 0.000 0.012 0.056
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.1484     0.8038 0.944 0.000 0.000 0.008 0.048
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.3932     0.3350 0.000 0.328 0.000 0.672 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.8857 0.000 0.000 1.000 0.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.8857 0.000 0.000 1.000 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.3115     0.7867 0.000 0.852 0.000 0.112 0.036
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.3791     0.7450 0.000 0.812 0.000 0.112 0.076
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.4249     0.3571 0.568 0.000 0.000 0.000 0.432
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.8857 0.000 0.000 1.000 0.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.6478     0.0967 0.420 0.000 0.000 0.184 0.396
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     4  0.5683     0.7874 0.000 0.108 0.000 0.588 0.304
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0162     0.8852 0.000 0.000 0.996 0.000 0.004
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.4249     0.3571 0.568 0.000 0.000 0.000 0.432
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.1740     0.7996 0.932 0.000 0.000 0.012 0.056
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.0794     0.7697 0.000 0.028 0.000 0.972 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.4171     0.4430 0.000 0.604 0.000 0.396 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.4201     0.4041 0.592 0.000 0.000 0.000 0.408
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     4  0.1195     0.7730 0.000 0.028 0.000 0.960 0.012
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.8857 0.000 0.000 1.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     4  0.4546     0.8231 0.000 0.028 0.000 0.668 0.304
#> DD36DD53-C576-44EF-A68B-E009B37A2385     4  0.6314     0.7002 0.000 0.184 0.000 0.512 0.304
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.0794     0.7697 0.000 0.028 0.000 0.972 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.8246 1.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.8246 1.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.8857 0.000 0.000 1.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.1628     0.8008 0.936 0.000 0.000 0.008 0.056
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     4  0.3561     0.4942 0.000 0.260 0.000 0.740 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     5  0.4307    -0.4321 0.496 0.000 0.000 0.000 0.504
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     4  0.4546     0.8231 0.000 0.028 0.000 0.668 0.304
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     5  0.4126     0.3635 0.000 0.000 0.380 0.000 0.620
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.8246 1.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.2074     0.7695 0.896 0.000 0.000 0.000 0.104
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     4  0.6363     0.6916 0.000 0.192 0.000 0.504 0.304
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.8246 1.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000     0.8857 0.000 0.000 1.000 0.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.1671     0.7881 0.924 0.000 0.000 0.000 0.076
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     4  0.4546     0.8231 0.000 0.028 0.000 0.668 0.304
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000     0.8857 0.000 0.000 1.000 0.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.8246 1.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.4623     0.8219 0.000 0.032 0.000 0.664 0.304
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0162     0.8852 0.000 0.000 0.996 0.000 0.004
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.3759     0.7449 0.000 0.000 0.764 0.016 0.220
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.8246 1.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0290     0.8225 0.992 0.000 0.000 0.000 0.008
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.3934     0.7213 0.000 0.000 0.740 0.016 0.244
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.8857 0.000 0.000 1.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.4249     0.3571 0.568 0.000 0.000 0.000 0.432
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.1628     0.8008 0.936 0.000 0.000 0.008 0.056
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     4  0.4546     0.8231 0.000 0.028 0.000 0.668 0.304
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.0794     0.7697 0.000 0.028 0.000 0.972 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.1740     0.7996 0.932 0.000 0.000 0.012 0.056
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.4138     0.4696 0.000 0.616 0.000 0.384 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     4  0.1195     0.7734 0.000 0.028 0.000 0.960 0.012
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.8246 1.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.3819     0.7401 0.000 0.000 0.756 0.016 0.228
#> 879DC385-8E19-410C-8C04-0B7015FB7289     4  0.5804     0.7696 0.000 0.120 0.000 0.576 0.304
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0963     0.7651 0.000 0.036 0.000 0.964 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.4473     0.2798 0.000 0.000 0.580 0.008 0.412
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.3878     0.7319 0.000 0.000 0.748 0.016 0.236
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     4  0.4546     0.8231 0.000 0.028 0.000 0.668 0.304
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0162     0.8852 0.000 0.000 0.996 0.000 0.004
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     4  0.5308     0.8006 0.000 0.076 0.000 0.620 0.304
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.0794     0.7697 0.000 0.028 0.000 0.972 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.1121     0.8915 0.000 0.956 0.000 0.000 0.044
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.1544     0.8610 0.000 0.000 0.932 0.000 0.068
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     4  0.5470     0.7969 0.000 0.092 0.000 0.612 0.296
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     4  0.0794     0.7697 0.000 0.028 0.000 0.972 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     5  0.4060     0.3795 0.000 0.000 0.360 0.000 0.640
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.3183     0.7960 0.000 0.000 0.828 0.016 0.156
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000     0.9216 0.000 1.000 0.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0162     0.8852 0.000 0.000 0.996 0.000 0.004
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.3789     0.7417 0.000 0.000 0.760 0.016 0.224

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     4  0.4131     0.8488 0.356 0.000 0.000 0.624 0.000 0.020
#> 11C93F5A-2187-484A-805D-BB696C1B9032     5  0.3448     0.5110 0.000 0.280 0.004 0.000 0.716 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     6  0.3833    -0.4130 0.000 0.000 0.444 0.000 0.000 0.556
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.8790 1.000 0.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     4  0.3741     0.8229 0.320 0.000 0.000 0.672 0.000 0.008
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0622     0.8945 0.000 0.980 0.008 0.012 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.3699     0.9364 0.000 0.000 0.660 0.004 0.000 0.336
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     5  0.5108     0.7094 0.000 0.000 0.164 0.208 0.628 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     6  0.0260     0.7982 0.000 0.000 0.008 0.000 0.000 0.992
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.4451     0.7064 0.724 0.000 0.124 0.148 0.000 0.004
#> 12078907-435A-46C9-96C1-24E71BF4602D     6  0.0260     0.7982 0.000 0.000 0.008 0.000 0.000 0.992
#> 8670C657-F6AB-4767-9278-42E64C614370     6  0.3862    -0.5065 0.000 0.000 0.476 0.000 0.000 0.524
#> 1709294C-7194-493D-AF5C-574927F57C0C     5  0.0937     0.7776 0.000 0.040 0.000 0.000 0.960 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.8790 1.000 0.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     5  0.0000     0.7889 0.000 0.000 0.000 0.000 1.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.1297     0.8573 0.948 0.000 0.012 0.040 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     4  0.4118     0.8505 0.352 0.000 0.000 0.628 0.000 0.020
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     5  0.0000     0.7889 0.000 0.000 0.000 0.000 1.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     5  0.0146     0.7884 0.000 0.004 0.000 0.000 0.996 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.8967 0.000 1.000 0.000 0.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     5  0.0000     0.7889 0.000 0.000 0.000 0.000 1.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.8967 0.000 1.000 0.000 0.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     5  0.0000     0.7889 0.000 0.000 0.000 0.000 1.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     5  0.5108     0.7094 0.000 0.000 0.164 0.208 0.628 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0622     0.8945 0.000 0.980 0.008 0.012 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     4  0.4910     0.8168 0.312 0.000 0.052 0.620 0.000 0.016
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.3428     0.9570 0.000 0.000 0.696 0.000 0.000 0.304
#> 75565A38-EC23-4052-8D31-903C601F64D5     5  0.3993    -0.0565 0.000 0.476 0.004 0.000 0.520 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.8790 1.000 0.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0622     0.8945 0.000 0.980 0.008 0.012 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.3428     0.9570 0.000 0.000 0.696 0.000 0.000 0.304
#> E6F801F4-9289-4623-B7D9-60CA56C71683     6  0.0547     0.7865 0.000 0.000 0.000 0.020 0.000 0.980
#> B644962A-DEFE-4169-A39E-EF2141F5125A     5  0.5296     0.6939 0.000 0.000 0.184 0.216 0.600 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.3565     0.9551 0.000 0.000 0.692 0.004 0.000 0.304
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     6  0.0260     0.7950 0.000 0.000 0.000 0.008 0.000 0.992
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.8790 1.000 0.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.3699     0.9364 0.000 0.000 0.660 0.004 0.000 0.336
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.8967 0.000 1.000 0.000 0.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     5  0.5108     0.7094 0.000 0.000 0.164 0.208 0.628 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     5  0.0000     0.7889 0.000 0.000 0.000 0.000 1.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.8790 1.000 0.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.3843     0.6811 0.000 0.000 0.548 0.000 0.000 0.452
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.1176     0.8834 0.000 0.956 0.024 0.020 0.000 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     4  0.4118     0.8505 0.352 0.000 0.000 0.628 0.000 0.020
#> C3087790-7575-4662-A7DC-B32808B9A775     5  0.4957     0.7163 0.000 0.000 0.148 0.204 0.648 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.3428     0.9570 0.000 0.000 0.696 0.000 0.000 0.304
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     6  0.0260     0.7982 0.000 0.000 0.008 0.000 0.000 0.992
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.8790 1.000 0.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     5  0.0146     0.7884 0.000 0.004 0.000 0.000 0.996 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     5  0.5078     0.7111 0.000 0.000 0.160 0.208 0.632 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.3428     0.9570 0.000 0.000 0.696 0.000 0.000 0.304
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0622     0.8945 0.000 0.980 0.008 0.012 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.8967 0.000 1.000 0.000 0.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.8790 1.000 0.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     5  0.0146     0.7889 0.000 0.000 0.004 0.000 0.996 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     5  0.0891     0.7816 0.000 0.000 0.024 0.008 0.968 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.3428     0.9570 0.000 0.000 0.696 0.000 0.000 0.304
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0622     0.8945 0.000 0.980 0.008 0.012 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.6598     0.4831 0.000 0.560 0.140 0.120 0.176 0.004
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.8967 0.000 1.000 0.000 0.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.1958     0.7652 0.896 0.000 0.004 0.100 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0146     0.8961 0.000 0.996 0.004 0.000 0.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.2979     0.8021 0.852 0.000 0.056 0.088 0.000 0.004
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.3265     0.6091 0.000 0.748 0.004 0.000 0.248 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.2664     0.6021 0.816 0.000 0.000 0.184 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.5768     0.5496 0.000 0.632 0.124 0.180 0.064 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.7457    -0.0260 0.000 0.384 0.164 0.220 0.232 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     5  0.2003     0.7328 0.000 0.116 0.000 0.000 0.884 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.3428     0.9570 0.000 0.000 0.696 0.000 0.000 0.304
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.3699     0.9364 0.000 0.000 0.660 0.004 0.000 0.336
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.8790 1.000 0.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.4451     0.7064 0.724 0.000 0.124 0.148 0.000 0.004
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.3799     0.7575 0.788 0.000 0.104 0.104 0.000 0.004
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     5  0.7635     0.2574 0.000 0.284 0.184 0.228 0.304 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.3428     0.9570 0.000 0.000 0.696 0.000 0.000 0.304
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.3428     0.9570 0.000 0.000 0.696 0.000 0.000 0.304
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.2933     0.7046 0.000 0.796 0.004 0.000 0.200 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.3337     0.6247 0.000 0.736 0.004 0.000 0.260 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     4  0.4131     0.8488 0.356 0.000 0.000 0.624 0.000 0.020
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.3428     0.9570 0.000 0.000 0.696 0.000 0.000 0.304
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0146     0.8961 0.000 0.996 0.004 0.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     4  0.3695     0.7105 0.272 0.000 0.016 0.712 0.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     5  0.2159     0.7552 0.000 0.072 0.012 0.012 0.904 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.3714     0.9323 0.000 0.000 0.656 0.004 0.000 0.340
#> 5D916BB7-6B38-414E-875E-2497C91B209A     4  0.4118     0.8505 0.352 0.000 0.000 0.628 0.000 0.020
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.4451     0.7064 0.724 0.000 0.124 0.148 0.000 0.004
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     5  0.5078     0.7111 0.000 0.000 0.160 0.208 0.632 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0622     0.8945 0.000 0.980 0.008 0.012 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.6382     0.4472 0.000 0.572 0.132 0.184 0.112 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     4  0.3695     0.8226 0.376 0.000 0.000 0.624 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     5  0.4898     0.7195 0.000 0.000 0.144 0.200 0.656 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.3428     0.9570 0.000 0.000 0.696 0.000 0.000 0.304
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     5  0.0146     0.7889 0.000 0.000 0.004 0.000 0.996 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     5  0.2378     0.6993 0.000 0.152 0.000 0.000 0.848 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     5  0.5078     0.7111 0.000 0.000 0.160 0.208 0.632 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.8790 1.000 0.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.8790 1.000 0.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.3428     0.9570 0.000 0.000 0.696 0.000 0.000 0.304
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0622     0.8945 0.000 0.980 0.008 0.012 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.3511     0.7747 0.808 0.000 0.064 0.124 0.000 0.004
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     5  0.7442     0.4187 0.000 0.236 0.164 0.212 0.388 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     4  0.4524     0.8375 0.320 0.000 0.000 0.628 0.000 0.052
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     5  0.0000     0.7889 0.000 0.000 0.000 0.000 1.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     4  0.4251     0.3375 0.000 0.000 0.028 0.624 0.000 0.348
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.8790 1.000 0.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0146     0.8961 0.000 0.996 0.004 0.000 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.2234     0.7259 0.872 0.000 0.004 0.124 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     5  0.2454     0.6915 0.000 0.160 0.000 0.000 0.840 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.8790 1.000 0.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.3428     0.9570 0.000 0.000 0.696 0.000 0.000 0.304
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0725     0.8942 0.000 0.976 0.012 0.012 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     0.8967 0.000 1.000 0.000 0.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.1958     0.7652 0.896 0.000 0.004 0.100 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     5  0.0000     0.7889 0.000 0.000 0.000 0.000 1.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.3428     0.9570 0.000 0.000 0.696 0.000 0.000 0.304
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.8790 1.000 0.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     5  0.0458     0.7857 0.000 0.016 0.000 0.000 0.984 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.3714     0.9323 0.000 0.000 0.656 0.004 0.000 0.340
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     6  0.0937     0.7799 0.000 0.000 0.040 0.000 0.000 0.960
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.8790 1.000 0.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0937     0.8617 0.960 0.000 0.000 0.040 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     6  0.0713     0.7787 0.000 0.000 0.000 0.028 0.000 0.972
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.3428     0.9570 0.000 0.000 0.696 0.000 0.000 0.304
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     4  0.4131     0.8488 0.356 0.000 0.000 0.624 0.000 0.020
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.3946     0.7476 0.772 0.000 0.088 0.136 0.000 0.004
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     5  0.1053     0.7824 0.000 0.020 0.012 0.004 0.964 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     5  0.5078     0.7111 0.000 0.000 0.160 0.208 0.632 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.4451     0.7064 0.724 0.000 0.124 0.148 0.000 0.004
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.6349     0.4534 0.000 0.576 0.128 0.184 0.112 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     5  0.4657     0.7291 0.000 0.000 0.136 0.176 0.688 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.8790 1.000 0.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0291     0.8966 0.000 0.992 0.004 0.004 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     6  0.0865     0.7833 0.000 0.000 0.036 0.000 0.000 0.964
#> 879DC385-8E19-410C-8C04-0B7015FB7289     5  0.2100     0.7363 0.000 0.112 0.004 0.000 0.884 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     5  0.5440     0.7026 0.000 0.012 0.164 0.208 0.616 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     6  0.4589     0.0524 0.000 0.000 0.036 0.460 0.000 0.504
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     6  0.0146     0.7967 0.000 0.000 0.000 0.004 0.000 0.996
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0622     0.8945 0.000 0.980 0.008 0.012 0.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     5  0.0000     0.7889 0.000 0.000 0.000 0.000 1.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     0.8967 0.000 1.000 0.000 0.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.3714     0.9323 0.000 0.000 0.656 0.004 0.000 0.340
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0291     0.8950 0.000 0.992 0.004 0.000 0.004 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0146     0.8959 0.000 0.996 0.000 0.000 0.004 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     5  0.1757     0.7608 0.000 0.076 0.008 0.000 0.916 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     5  0.5078     0.7111 0.000 0.000 0.160 0.208 0.632 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0146     0.8961 0.000 0.996 0.004 0.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.1531     0.8509 0.000 0.928 0.004 0.000 0.068 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.3996     0.6336 0.000 0.000 0.512 0.004 0.000 0.484
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     5  0.2939     0.7430 0.000 0.100 0.032 0.012 0.856 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0767     0.8930 0.000 0.976 0.008 0.012 0.004 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     5  0.5078     0.7111 0.000 0.000 0.160 0.208 0.632 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     4  0.3684     0.3466 0.000 0.000 0.000 0.628 0.000 0.372
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     6  0.2969     0.4726 0.000 0.000 0.224 0.000 0.000 0.776
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000     0.8967 0.000 1.000 0.000 0.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.3684     0.9392 0.000 0.000 0.664 0.004 0.000 0.332
#> 5F1797CC-C35C-44D4-867B-9824FE037552     6  0.0632     0.7915 0.000 0.000 0.024 0.000 0.000 0.976

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-CV-skmeans-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-CV-skmeans-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-CV-skmeans-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-CV-skmeans-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-CV-skmeans-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-CV-skmeans-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-CV-skmeans-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-CV-skmeans-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-CV-skmeans-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-CV-skmeans-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-CV-skmeans-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-CV-skmeans-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-CV-skmeans-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-CV-skmeans-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-CV-skmeans-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-CV-skmeans-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-CV-skmeans-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-CV-skmeans-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-CV-skmeans-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-CV-skmeans-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk CV-skmeans-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-CV-skmeans-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-CV-skmeans-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-CV-skmeans-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-CV-skmeans-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-CV-skmeans-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk CV-skmeans-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


CV:pam**

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["CV", "pam"]
# you can also extract it by
# res = res_list["CV:pam"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#>   Subgroups are detected by 'pam' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 3.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk CV-pam-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk CV-pam-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 1.000           0.999       0.999         0.5034 0.497   0.497
#> 3 3 0.987           0.975       0.988         0.2589 0.868   0.734
#> 4 4 0.818           0.787       0.831         0.1143 0.967   0.910
#> 5 5 0.845           0.847       0.919         0.1046 0.867   0.611
#> 6 6 0.792           0.797       0.876         0.0409 0.957   0.805

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2

There is also optional best \(k\) = 2 that is worth to check.

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette    p1    p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.999 1.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      1.000 0.000 1.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1  0.0000      0.999 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.999 1.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.0000      0.999 1.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      1.000 0.000 1.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1  0.0000      0.999 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0000      1.000 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1  0.0000      0.999 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000      0.999 1.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     1  0.0000      0.999 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     1  0.0000      0.999 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      1.000 0.000 1.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.999 1.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      1.000 0.000 1.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      0.999 1.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      0.999 1.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      1.000 0.000 1.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      1.000 0.000 1.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      1.000 0.000 1.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      1.000 0.000 1.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      1.000 0.000 1.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      1.000 0.000 1.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      1.000 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      1.000 0.000 1.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0000      0.999 1.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1  0.0000      0.999 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      1.000 0.000 1.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.999 1.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      1.000 0.000 1.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1  0.0000      0.999 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1  0.0000      0.999 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.0000      1.000 0.000 1.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1  0.0000      0.999 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1  0.0000      0.999 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.999 1.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1  0.0000      0.999 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      1.000 0.000 1.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000      1.000 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      1.000 0.000 1.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.999 1.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1  0.0000      0.999 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0000      1.000 0.000 1.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.999 1.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000      1.000 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1  0.0000      0.999 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1  0.0000      0.999 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.999 1.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      1.000 0.000 1.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000      1.000 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1  0.0000      0.999 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      1.000 0.000 1.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      1.000 0.000 1.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.999 1.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      1.000 0.000 1.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      1.000 0.000 1.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1  0.0000      0.999 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      1.000 0.000 1.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      1.000 0.000 1.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      1.000 0.000 1.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.999 1.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      1.000 0.000 1.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.999 1.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      1.000 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.999 1.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      1.000 0.000 1.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      1.000 0.000 1.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      1.000 0.000 1.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     1  0.0000      0.999 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1  0.0000      0.999 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.999 1.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000      0.999 1.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.999 1.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000      1.000 0.000 1.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1  0.0000      0.999 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1  0.0000      0.999 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      1.000 0.000 1.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      1.000 0.000 1.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.999 1.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     1  0.0000      0.999 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      1.000 0.000 1.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.0000      0.999 1.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      1.000 0.000 1.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1  0.0000      0.999 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      0.999 1.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000      0.999 1.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000      1.000 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      1.000 0.000 1.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      1.000 0.000 1.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      0.999 1.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      1.000 0.000 1.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1  0.0000      0.999 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      1.000 0.000 1.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      1.000 0.000 1.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000      1.000 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.999 1.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.999 1.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     1  0.0000      0.999 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      1.000 0.000 1.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      0.999 1.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      1.000 0.000 1.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.999 1.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      1.000 0.000 1.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.0000      0.999 1.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.999 1.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      1.000 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.999 1.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      1.000 0.000 1.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.999 1.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1  0.0672      0.991 0.992 0.008
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      1.000 0.000 1.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      1.000 0.000 1.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.999 1.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      1.000 0.000 1.000
#> 86689648-2C4A-456F-A551-B9731400846C     1  0.0000      0.999 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.999 1.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      1.000 0.000 1.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     1  0.0000      0.999 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1  0.0000      0.999 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.999 1.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      0.999 1.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.0000      0.999 1.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1  0.0000      0.999 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.999 1.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.4690      0.889 0.900 0.100
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      1.000 0.000 1.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000      1.000 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      0.999 1.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      1.000 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      1.000 0.000 1.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.999 1.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      1.000 0.000 1.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1  0.0000      0.999 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      1.000 0.000 1.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000      1.000 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.0000      0.999 1.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1  0.0000      0.999 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      1.000 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      1.000 0.000 1.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      1.000 0.000 1.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1  0.0000      0.999 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      1.000 0.000 1.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      1.000 0.000 1.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      1.000 0.000 1.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      1.000 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      1.000 0.000 1.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      1.000 0.000 1.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1  0.0000      0.999 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      1.000 0.000 1.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      1.000 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      1.000 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.0000      0.999 1.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1  0.0000      0.999 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      1.000 0.000 1.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     1  0.0000      0.999 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1  0.0000      0.999 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1    p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1   0.000      0.992 1.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2   0.000      1.000 0.000 1.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3   0.000      0.957 0.000 0.000 1.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1   0.000      0.992 1.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1   0.000      0.992 1.000 0.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2   0.000      1.000 0.000 1.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3   0.000      0.957 0.000 0.000 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2   0.000      1.000 0.000 1.000 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3   0.000      0.957 0.000 0.000 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1   0.000      0.992 1.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3   0.296      0.881 0.100 0.000 0.900
#> 8670C657-F6AB-4767-9278-42E64C614370     3   0.217      0.920 0.048 0.008 0.944
#> 1709294C-7194-493D-AF5C-574927F57C0C     2   0.000      1.000 0.000 1.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1   0.000      0.992 1.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2   0.000      1.000 0.000 1.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1   0.000      0.992 1.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1   0.000      0.992 1.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2   0.000      1.000 0.000 1.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2   0.000      1.000 0.000 1.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2   0.000      1.000 0.000 1.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2   0.000      1.000 0.000 1.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2   0.000      1.000 0.000 1.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2   0.000      1.000 0.000 1.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2   0.000      1.000 0.000 1.000 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2   0.000      1.000 0.000 1.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1   0.000      0.992 1.000 0.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3   0.000      0.957 0.000 0.000 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2   0.000      1.000 0.000 1.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1   0.000      0.992 1.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2   0.000      1.000 0.000 1.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3   0.000      0.957 0.000 0.000 1.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3   0.562      0.703 0.244 0.012 0.744
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2   0.000      1.000 0.000 1.000 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3   0.000      0.957 0.000 0.000 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3   0.440      0.789 0.188 0.000 0.812
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1   0.000      0.992 1.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3   0.000      0.957 0.000 0.000 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2   0.000      1.000 0.000 1.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2   0.000      1.000 0.000 1.000 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2   0.000      1.000 0.000 1.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1   0.000      0.992 1.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3   0.000      0.957 0.000 0.000 1.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2   0.000      1.000 0.000 1.000 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1   0.000      0.992 1.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2   0.000      1.000 0.000 1.000 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3   0.000      0.957 0.000 0.000 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3   0.000      0.957 0.000 0.000 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1   0.000      0.992 1.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2   0.000      1.000 0.000 1.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2   0.000      1.000 0.000 1.000 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3   0.000      0.957 0.000 0.000 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2   0.000      1.000 0.000 1.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2   0.000      1.000 0.000 1.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1   0.000      0.992 1.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2   0.000      1.000 0.000 1.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2   0.000      1.000 0.000 1.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3   0.499      0.828 0.112 0.052 0.836
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2   0.000      1.000 0.000 1.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2   0.000      1.000 0.000 1.000 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2   0.000      1.000 0.000 1.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1   0.000      0.992 1.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2   0.000      1.000 0.000 1.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1   0.000      0.992 1.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2   0.000      1.000 0.000 1.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1   0.000      0.992 1.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2   0.000      1.000 0.000 1.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2   0.000      1.000 0.000 1.000 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2   0.000      1.000 0.000 1.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3   0.000      0.957 0.000 0.000 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3   0.000      0.957 0.000 0.000 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1   0.000      0.992 1.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1   0.000      0.992 1.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1   0.000      0.992 1.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2   0.000      1.000 0.000 1.000 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3   0.000      0.957 0.000 0.000 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3   0.000      0.957 0.000 0.000 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2   0.000      1.000 0.000 1.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2   0.000      1.000 0.000 1.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1   0.000      0.992 1.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3   0.000      0.957 0.000 0.000 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2   0.000      1.000 0.000 1.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1   0.000      0.992 1.000 0.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2   0.000      1.000 0.000 1.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3   0.000      0.957 0.000 0.000 1.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1   0.000      0.992 1.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1   0.000      0.992 1.000 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2   0.000      1.000 0.000 1.000 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2   0.000      1.000 0.000 1.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2   0.000      1.000 0.000 1.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1   0.000      0.992 1.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2   0.000      1.000 0.000 1.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3   0.000      0.957 0.000 0.000 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2   0.000      1.000 0.000 1.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2   0.000      1.000 0.000 1.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2   0.000      1.000 0.000 1.000 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1   0.000      0.992 1.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1   0.000      0.992 1.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3   0.000      0.957 0.000 0.000 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2   0.000      1.000 0.000 1.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1   0.000      0.992 1.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2   0.000      1.000 0.000 1.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1   0.000      0.992 1.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2   0.000      1.000 0.000 1.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1   0.369      0.830 0.860 0.000 0.140
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1   0.000      0.992 1.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2   0.000      1.000 0.000 1.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1   0.000      0.992 1.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2   0.000      1.000 0.000 1.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1   0.000      0.992 1.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3   0.348      0.822 0.000 0.128 0.872
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2   0.000      1.000 0.000 1.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2   0.000      1.000 0.000 1.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1   0.000      0.992 1.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2   0.000      1.000 0.000 1.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3   0.000      0.957 0.000 0.000 1.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1   0.000      0.992 1.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2   0.000      1.000 0.000 1.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3   0.000      0.957 0.000 0.000 1.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3   0.000      0.957 0.000 0.000 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1   0.000      0.992 1.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1   0.000      0.992 1.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3   0.550      0.632 0.292 0.000 0.708
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3   0.000      0.957 0.000 0.000 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1   0.000      0.992 1.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1   0.000      0.992 1.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2   0.000      1.000 0.000 1.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2   0.000      1.000 0.000 1.000 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1   0.000      0.992 1.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2   0.000      1.000 0.000 1.000 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2   0.000      1.000 0.000 1.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1   0.000      0.992 1.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2   0.000      1.000 0.000 1.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3   0.000      0.957 0.000 0.000 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2   0.000      1.000 0.000 1.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2   0.000      1.000 0.000 1.000 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     3   0.440      0.789 0.188 0.000 0.812
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3   0.440      0.789 0.188 0.000 0.812
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2   0.000      1.000 0.000 1.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2   0.000      1.000 0.000 1.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2   0.000      1.000 0.000 1.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3   0.000      0.957 0.000 0.000 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2   0.000      1.000 0.000 1.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2   0.000      1.000 0.000 1.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2   0.000      1.000 0.000 1.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2   0.000      1.000 0.000 1.000 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2   0.000      1.000 0.000 1.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2   0.000      1.000 0.000 1.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3   0.000      0.957 0.000 0.000 1.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2   0.000      1.000 0.000 1.000 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2   0.000      1.000 0.000 1.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2   0.000      1.000 0.000 1.000 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1   0.435      0.766 0.816 0.000 0.184
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3   0.000      0.957 0.000 0.000 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2   0.000      1.000 0.000 1.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3   0.000      0.957 0.000 0.000 1.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3   0.000      0.957 0.000 0.000 1.000

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0817     0.8088 0.000 0.976 0.000 0.024
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.2011     0.6397 0.000 0.000 0.920 0.080
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     4  0.4998     0.9199 0.000 0.000 0.488 0.512
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.4967     0.7598 0.000 0.548 0.000 0.452
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000     0.7114 0.000 0.000 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000     0.7114 0.000 0.000 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.1211     0.6867 0.000 0.000 0.960 0.040
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.4730     0.7807 0.000 0.636 0.000 0.364
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.4967     0.7598 0.000 0.548 0.000 0.452
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.4967     0.7598 0.000 0.548 0.000 0.452
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.4925     0.7679 0.000 0.572 0.000 0.428
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.4967     0.7598 0.000 0.548 0.000 0.452
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.4967     0.7598 0.000 0.548 0.000 0.452
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.4967     0.7598 0.000 0.548 0.000 0.452
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     4  0.4989     0.9482 0.000 0.000 0.472 0.528
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0817     0.8088 0.000 0.976 0.000 0.024
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.1474     0.6711 0.000 0.000 0.948 0.052
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0188     0.7101 0.004 0.000 0.996 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.4967     0.7598 0.000 0.548 0.000 0.452
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     4  0.4967     0.9887 0.000 0.000 0.452 0.548
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0188     0.7101 0.004 0.000 0.996 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.4999    -0.8626 0.000 0.000 0.508 0.492
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.4925     0.7634 0.000 0.572 0.000 0.428
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.4761     0.7796 0.000 0.628 0.000 0.372
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.4994    -0.8236 0.000 0.000 0.520 0.480
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.2149     0.8033 0.000 0.912 0.000 0.088
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.4967     0.7598 0.000 0.548 0.000 0.452
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     4  0.4967     0.9887 0.000 0.000 0.452 0.548
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000     0.7114 0.000 0.000 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.4967     0.7598 0.000 0.548 0.000 0.452
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.4804     0.7751 0.000 0.616 0.000 0.384
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     4  0.4967     0.9887 0.000 0.000 0.452 0.548
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.4967     0.7598 0.000 0.548 0.000 0.452
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.4967     0.7598 0.000 0.548 0.000 0.452
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.4998     0.3522 0.052 0.000 0.748 0.200
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.1211     0.8112 0.000 0.960 0.000 0.040
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0817     0.8088 0.000 0.976 0.000 0.024
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.3024     0.8034 0.000 0.852 0.000 0.148
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.4103     0.7971 0.000 0.744 0.000 0.256
#> 7559E197-0527-40D8-A982-C37B35A9A902     4  0.4967     0.9887 0.000 0.000 0.452 0.548
#> 4C120336-16A5-42B4-B069-48E11F1F746D     4  0.4967     0.9887 0.000 0.000 0.452 0.548
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.4790     0.7761 0.000 0.620 0.000 0.380
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     4  0.4967     0.9887 0.000 0.000 0.452 0.548
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     4  0.4967     0.9887 0.000 0.000 0.452 0.548
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0817     0.8088 0.000 0.976 0.000 0.024
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0817     0.8088 0.000 0.976 0.000 0.024
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     4  0.4967     0.9887 0.000 0.000 0.452 0.548
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.4730     0.7807 0.000 0.636 0.000 0.364
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.1637     0.6638 0.000 0.000 0.940 0.060
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.4907     0.7705 0.000 0.580 0.000 0.420
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.1637     0.8130 0.000 0.940 0.000 0.060
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.4746     0.7800 0.000 0.632 0.000 0.368
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     4  0.4967     0.9887 0.000 0.000 0.452 0.548
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.4967     0.7598 0.000 0.548 0.000 0.452
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.2011     0.8057 0.000 0.920 0.000 0.080
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.4804     0.7751 0.000 0.616 0.000 0.384
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     4  0.4967     0.9887 0.000 0.000 0.452 0.548
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.4406     0.7910 0.000 0.700 0.000 0.300
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.4967     0.7598 0.000 0.548 0.000 0.452
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.4697     0.4820 0.644 0.000 0.356 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.1867     0.8057 0.000 0.928 0.000 0.072
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     4  0.4977     0.9756 0.000 0.000 0.460 0.540
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.4955     0.7628 0.000 0.556 0.000 0.444
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.4999    -0.8670 0.000 0.000 0.508 0.492
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.4877     0.7734 0.000 0.592 0.000 0.408
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.4679    -0.3940 0.000 0.000 0.648 0.352
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000     0.7114 0.000 0.000 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0921     0.6792 0.028 0.000 0.972 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     4  0.4967     0.9887 0.000 0.000 0.452 0.548
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.4331     0.7939 0.000 0.712 0.000 0.288
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.4967     0.7598 0.000 0.548 0.000 0.452
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.2149     0.8033 0.000 0.912 0.000 0.088
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.4967     0.7598 0.000 0.548 0.000 0.452
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9911 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000     0.7114 0.000 0.000 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.1118     0.8089 0.000 0.964 0.000 0.036
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.4888     0.7687 0.000 0.588 0.000 0.412
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.0336     0.7073 0.008 0.000 0.992 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0188     0.7101 0.004 0.000 0.996 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.4967     0.7598 0.000 0.548 0.000 0.452
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.1637     0.6598 0.000 0.000 0.940 0.060
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.4522     0.7904 0.000 0.680 0.000 0.320
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.4925     0.7634 0.000 0.572 0.000 0.428
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0817     0.8088 0.000 0.976 0.000 0.024
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.3942     0.2162 0.000 0.000 0.764 0.236
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.4431     0.7939 0.000 0.696 0.000 0.304
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000     0.8084 0.000 1.000 0.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.4967     0.7598 0.000 0.548 0.000 0.452
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.4933     0.0553 0.432 0.000 0.568 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000     0.7114 0.000 0.000 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0188     0.8086 0.000 0.996 0.000 0.004
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.4855    -0.5632 0.000 0.000 0.600 0.400
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000     0.7114 0.000 0.000 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.1270     0.9572 0.948 0.000 0.000 0.052 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.2891     0.7721 0.000 0.824 0.000 0.176 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.2280     0.8372 0.000 0.000 0.880 0.000 0.120
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.1270     0.9572 0.948 0.000 0.000 0.052 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000     0.8979 0.000 1.000 0.000 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     5  0.4219     0.3273 0.000 0.000 0.416 0.000 0.584
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.1270     0.8997 0.000 0.052 0.000 0.948 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000     0.9141 0.000 0.000 1.000 0.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000     0.9141 0.000 0.000 1.000 0.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.2329     0.8255 0.000 0.000 0.876 0.000 0.124
#> 1709294C-7194-493D-AF5C-574927F57C0C     4  0.3177     0.7925 0.000 0.208 0.000 0.792 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     4  0.1270     0.8997 0.000 0.052 0.000 0.948 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.1270     0.9572 0.948 0.000 0.000 0.052 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     4  0.1270     0.8997 0.000 0.052 0.000 0.948 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     4  0.1671     0.8898 0.000 0.076 0.000 0.924 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.8979 0.000 1.000 0.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     4  0.1270     0.8997 0.000 0.052 0.000 0.948 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.8979 0.000 1.000 0.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     4  0.1270     0.8997 0.000 0.052 0.000 0.948 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.1270     0.8997 0.000 0.052 0.000 0.948 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     0.8979 0.000 1.000 0.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.1043     0.9628 0.960 0.000 0.000 0.040 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     5  0.0609     0.8621 0.000 0.000 0.020 0.000 0.980
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.3707     0.6131 0.000 0.716 0.000 0.284 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000     0.8979 0.000 1.000 0.000 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.1981     0.8814 0.000 0.000 0.924 0.028 0.048
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0000     0.9141 0.000 0.000 1.000 0.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.1270     0.8997 0.000 0.052 0.000 0.948 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     5  0.0000     0.8715 0.000 0.000 0.000 0.000 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0000     0.9141 0.000 0.000 1.000 0.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     5  0.1270     0.8417 0.000 0.000 0.052 0.000 0.948
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.8979 0.000 1.000 0.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.1792     0.8874 0.000 0.084 0.000 0.916 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     4  0.2732     0.8358 0.000 0.160 0.000 0.840 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     5  0.2648     0.7653 0.000 0.000 0.152 0.000 0.848
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.1965     0.8324 0.000 0.904 0.000 0.096 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.1270     0.9572 0.948 0.000 0.000 0.052 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.1270     0.8997 0.000 0.052 0.000 0.948 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     5  0.0000     0.8715 0.000 0.000 0.000 0.000 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000     0.9141 0.000 0.000 1.000 0.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     4  0.1270     0.8997 0.000 0.052 0.000 0.948 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.2852     0.8261 0.000 0.172 0.000 0.828 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     5  0.0000     0.8715 0.000 0.000 0.000 0.000 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000     0.8979 0.000 1.000 0.000 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.8979 0.000 1.000 0.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     4  0.1270     0.8997 0.000 0.052 0.000 0.948 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     4  0.1270     0.8997 0.000 0.052 0.000 0.948 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.4587     0.6850 0.012 0.000 0.744 0.048 0.196
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0290     0.8959 0.000 0.992 0.000 0.008 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.3395     0.6824 0.000 0.764 0.000 0.236 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.8979 0.000 1.000 0.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000     0.8979 0.000 1.000 0.000 0.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.2648     0.7979 0.000 0.848 0.000 0.152 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0609     0.9713 0.980 0.000 0.000 0.020 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0290     0.8959 0.000 0.992 0.000 0.008 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.2732     0.7650 0.000 0.840 0.000 0.160 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     4  0.3612     0.6953 0.000 0.268 0.000 0.732 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     5  0.0000     0.8715 0.000 0.000 0.000 0.000 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     5  0.0000     0.8715 0.000 0.000 0.000 0.000 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.4182     0.4775 0.000 0.400 0.000 0.600 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     5  0.0000     0.8715 0.000 0.000 0.000 0.000 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     5  0.0000     0.8715 0.000 0.000 0.000 0.000 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.3143     0.7395 0.000 0.796 0.000 0.204 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.3395     0.6931 0.000 0.764 0.000 0.236 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.1270     0.9572 0.948 0.000 0.000 0.052 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     5  0.0000     0.8715 0.000 0.000 0.000 0.000 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000     0.8979 0.000 1.000 0.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.0794     0.9680 0.972 0.000 0.000 0.028 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     4  0.3534     0.7376 0.000 0.256 0.000 0.744 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.1478     0.8815 0.000 0.000 0.936 0.000 0.064
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.1270     0.9572 0.948 0.000 0.000 0.052 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.1851     0.8862 0.000 0.088 0.000 0.912 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000     0.8979 0.000 1.000 0.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.1544     0.8587 0.000 0.932 0.000 0.068 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.1270     0.9572 0.948 0.000 0.000 0.052 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     4  0.3895     0.6419 0.000 0.320 0.000 0.680 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     5  0.0000     0.8715 0.000 0.000 0.000 0.000 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     4  0.1270     0.8997 0.000 0.052 0.000 0.948 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.4304     0.0287 0.000 0.516 0.000 0.484 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.2852     0.8254 0.000 0.172 0.000 0.828 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     5  0.0000     0.8715 0.000 0.000 0.000 0.000 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0290     0.8959 0.000 0.992 0.000 0.008 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.3876     0.4644 0.000 0.684 0.000 0.316 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.1270     0.9572 0.948 0.000 0.000 0.052 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     4  0.1270     0.8997 0.000 0.052 0.000 0.948 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.5053     0.4653 0.624 0.000 0.324 0.052 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000     0.8979 0.000 1.000 0.000 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.3395     0.6968 0.000 0.764 0.000 0.236 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     5  0.2127     0.8008 0.000 0.000 0.108 0.000 0.892
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0290     0.8959 0.000 0.992 0.000 0.008 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     0.8979 0.000 1.000 0.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     4  0.1410     0.8971 0.000 0.060 0.000 0.940 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     5  0.4718     0.2112 0.000 0.000 0.444 0.016 0.540
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.1965     0.8809 0.000 0.096 0.000 0.904 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     5  0.4268     0.2899 0.000 0.000 0.444 0.000 0.556
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000     0.9141 0.000 0.000 1.000 0.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0000     0.9141 0.000 0.000 1.000 0.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     5  0.0000     0.8715 0.000 0.000 0.000 0.000 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.1270     0.9572 0.948 0.000 0.000 0.052 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     4  0.4101     0.5733 0.000 0.372 0.000 0.628 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.1270     0.8997 0.000 0.052 0.000 0.948 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.1965     0.8324 0.000 0.904 0.000 0.096 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     4  0.1270     0.8997 0.000 0.052 0.000 0.948 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9787 1.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.2230     0.8261 0.000 0.884 0.000 0.116 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000     0.9141 0.000 0.000 1.000 0.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.3999     0.4929 0.000 0.656 0.000 0.344 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.4192     0.4512 0.000 0.404 0.000 0.596 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.2054     0.8654 0.028 0.000 0.920 0.052 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000     0.9141 0.000 0.000 1.000 0.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000     0.8979 0.000 1.000 0.000 0.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     4  0.1270     0.8997 0.000 0.052 0.000 0.948 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     0.8979 0.000 1.000 0.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.1410     0.8819 0.000 0.000 0.940 0.000 0.060
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0794     0.8858 0.000 0.972 0.000 0.028 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000     0.8979 0.000 1.000 0.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     4  0.3480     0.7340 0.000 0.248 0.000 0.752 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.1732     0.8895 0.000 0.080 0.000 0.920 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.8979 0.000 1.000 0.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.2424     0.8126 0.000 0.868 0.000 0.132 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     5  0.4294     0.1839 0.000 0.000 0.468 0.000 0.532
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     4  0.4101     0.5411 0.000 0.372 0.000 0.628 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0290     0.8959 0.000 0.992 0.000 0.008 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     4  0.1270     0.8997 0.000 0.052 0.000 0.948 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.3983     0.6775 0.164 0.000 0.784 0.052 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000     0.9141 0.000 0.000 1.000 0.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0162     0.8968 0.000 0.996 0.000 0.004 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.4201     0.2432 0.000 0.000 0.592 0.000 0.408
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000     0.9141 0.000 0.000 1.000 0.000 0.000

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     4  0.3464     0.8730 0.312 0.000 0.000 0.688 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.4486     0.6441 0.000 0.704 0.000 0.112 0.184 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     6  0.2762     0.7204 0.000 0.000 0.196 0.000 0.000 0.804
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0363     0.9472 0.988 0.000 0.000 0.012 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     4  0.3464     0.8730 0.312 0.000 0.000 0.688 0.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000     0.8923 0.000 1.000 0.000 0.000 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.5729     0.3386 0.000 0.000 0.520 0.148 0.008 0.324
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     5  0.1398     0.8420 0.000 0.008 0.000 0.052 0.940 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     6  0.0000     0.8531 0.000 0.000 0.000 0.000 0.000 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.1327     0.8831 0.936 0.000 0.000 0.064 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     6  0.0000     0.8531 0.000 0.000 0.000 0.000 0.000 1.000
#> 8670C657-F6AB-4767-9278-42E64C614370     6  0.2350     0.8100 0.000 0.000 0.076 0.036 0.000 0.888
#> 1709294C-7194-493D-AF5C-574927F57C0C     5  0.3961     0.7859 0.000 0.124 0.000 0.112 0.764 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     5  0.2212     0.8417 0.000 0.008 0.000 0.112 0.880 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0260     0.9514 0.992 0.000 0.000 0.008 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     4  0.3464     0.8730 0.312 0.000 0.000 0.688 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     5  0.2212     0.8417 0.000 0.008 0.000 0.112 0.880 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     5  0.2491     0.8381 0.000 0.020 0.000 0.112 0.868 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.8923 0.000 1.000 0.000 0.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     5  0.2212     0.8417 0.000 0.008 0.000 0.112 0.880 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.8923 0.000 1.000 0.000 0.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     5  0.2212     0.8417 0.000 0.008 0.000 0.112 0.880 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     5  0.1265     0.8434 0.000 0.008 0.000 0.044 0.948 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     0.8923 0.000 1.000 0.000 0.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     4  0.3647     0.8040 0.360 0.000 0.000 0.640 0.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0146     0.8680 0.000 0.000 0.996 0.000 0.000 0.004
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.5063     0.4435 0.000 0.604 0.000 0.112 0.284 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000     0.8923 0.000 1.000 0.000 0.000 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     6  0.4032     0.6897 0.000 0.000 0.068 0.192 0.000 0.740
#> E6F801F4-9289-4623-B7D9-60CA56C71683     6  0.2378     0.7462 0.000 0.000 0.000 0.152 0.000 0.848
#> B644962A-DEFE-4169-A39E-EF2141F5125A     5  0.1398     0.8420 0.000 0.008 0.000 0.052 0.940 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.2513     0.8040 0.000 0.000 0.852 0.140 0.008 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     6  0.0000     0.8531 0.000 0.000 0.000 0.000 0.000 1.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.2593     0.8009 0.000 0.000 0.844 0.148 0.008 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.8923 0.000 1.000 0.000 0.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     5  0.1682     0.8404 0.000 0.020 0.000 0.052 0.928 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     5  0.2165     0.8268 0.000 0.108 0.000 0.008 0.884 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.2969     0.6520 0.000 0.000 0.776 0.000 0.000 0.224
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.2762     0.8080 0.000 0.860 0.000 0.048 0.092 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     4  0.3464     0.8730 0.312 0.000 0.000 0.688 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     5  0.0520     0.8456 0.000 0.008 0.000 0.008 0.984 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.8697 0.000 0.000 1.000 0.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     6  0.0000     0.8531 0.000 0.000 0.000 0.000 0.000 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     5  0.2212     0.8417 0.000 0.008 0.000 0.112 0.880 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     5  0.2448     0.8197 0.000 0.064 0.000 0.052 0.884 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.8697 0.000 0.000 1.000 0.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000     0.8923 0.000 1.000 0.000 0.000 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.8923 0.000 1.000 0.000 0.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     5  0.0405     0.8457 0.000 0.008 0.000 0.004 0.988 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     5  0.2212     0.8417 0.000 0.008 0.000 0.112 0.880 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     4  0.5218     0.3997 0.008 0.000 0.164 0.640 0.000 0.188
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0146     0.8914 0.000 0.996 0.000 0.000 0.004 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.4405     0.5838 0.000 0.688 0.000 0.072 0.240 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.8923 0.000 1.000 0.000 0.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000     0.8923 0.000 1.000 0.000 0.000 0.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.3641     0.7445 0.000 0.788 0.000 0.072 0.140 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.2048     0.7909 0.880 0.000 0.000 0.120 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0146     0.8914 0.000 0.996 0.000 0.000 0.004 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.3293     0.7567 0.000 0.812 0.000 0.048 0.140 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     5  0.4393     0.7276 0.000 0.172 0.000 0.112 0.716 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.8697 0.000 0.000 1.000 0.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.2593     0.8009 0.000 0.000 0.844 0.148 0.008 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     5  0.4911     0.4010 0.000 0.384 0.000 0.068 0.548 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.8697 0.000 0.000 1.000 0.000 0.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.8697 0.000 0.000 1.000 0.000 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.3916     0.6966 0.000 0.752 0.000 0.064 0.184 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.4406     0.6118 0.000 0.696 0.000 0.080 0.224 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     4  0.3464     0.8730 0.312 0.000 0.000 0.688 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.8697 0.000 0.000 1.000 0.000 0.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000     0.8923 0.000 1.000 0.000 0.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.3851    -0.3378 0.540 0.000 0.000 0.460 0.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     5  0.4425     0.7364 0.000 0.176 0.000 0.112 0.712 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     6  0.4082     0.7206 0.000 0.000 0.084 0.144 0.008 0.764
#> 5D916BB7-6B38-414E-875E-2497C91B209A     4  0.3464     0.8730 0.312 0.000 0.000 0.688 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0363     0.9471 0.988 0.000 0.000 0.012 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     5  0.1594     0.8422 0.000 0.016 0.000 0.052 0.932 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000     0.8923 0.000 1.000 0.000 0.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.2325     0.8351 0.000 0.892 0.000 0.048 0.060 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     4  0.3464     0.8730 0.312 0.000 0.000 0.688 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     5  0.4002     0.6336 0.000 0.260 0.000 0.036 0.704 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.8697 0.000 0.000 1.000 0.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     5  0.0717     0.8477 0.000 0.008 0.000 0.016 0.976 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     5  0.5358     0.2305 0.000 0.392 0.000 0.112 0.496 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     5  0.2448     0.8186 0.000 0.064 0.000 0.052 0.884 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.8697 0.000 0.000 1.000 0.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0146     0.8914 0.000 0.996 0.000 0.000 0.004 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.3371     0.5768 0.000 0.708 0.000 0.000 0.292 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     4  0.3464     0.8730 0.312 0.000 0.000 0.688 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     5  0.2212     0.8417 0.000 0.008 0.000 0.112 0.880 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     4  0.4431     0.8231 0.236 0.000 0.000 0.688 0.000 0.076
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000     0.8923 0.000 1.000 0.000 0.000 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.2631     0.6667 0.820 0.000 0.000 0.180 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.4166     0.6683 0.000 0.728 0.000 0.076 0.196 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.1462     0.8361 0.000 0.000 0.936 0.008 0.000 0.056
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0363     0.8886 0.000 0.988 0.000 0.000 0.012 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     0.8923 0.000 1.000 0.000 0.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     5  0.2312     0.8408 0.000 0.012 0.000 0.112 0.876 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.5355    -0.0124 0.000 0.000 0.468 0.108 0.000 0.424
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     5  0.1682     0.8414 0.000 0.020 0.000 0.052 0.928 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.5318     0.5578 0.000 0.000 0.620 0.148 0.008 0.224
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     6  0.0000     0.8531 0.000 0.000 0.000 0.000 0.000 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     6  0.2416     0.7421 0.000 0.000 0.000 0.156 0.000 0.844
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.8697 0.000 0.000 1.000 0.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     4  0.3531     0.8543 0.328 0.000 0.000 0.672 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     5  0.4384     0.5432 0.000 0.348 0.000 0.036 0.616 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     5  0.1398     0.8420 0.000 0.008 0.000 0.052 0.940 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.2660     0.8132 0.000 0.868 0.000 0.048 0.084 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     5  0.0622     0.8453 0.000 0.008 0.000 0.012 0.980 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9589 1.000 0.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.2048     0.8176 0.000 0.880 0.000 0.000 0.120 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     6  0.0000     0.8531 0.000 0.000 0.000 0.000 0.000 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.5266     0.2871 0.000 0.544 0.000 0.112 0.344 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     5  0.4631     0.4130 0.000 0.352 0.000 0.052 0.596 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     4  0.3253     0.4908 0.020 0.000 0.000 0.788 0.000 0.192
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     6  0.0000     0.8531 0.000 0.000 0.000 0.000 0.000 1.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0260     0.8900 0.000 0.992 0.000 0.008 0.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     5  0.2212     0.8417 0.000 0.008 0.000 0.112 0.880 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     0.8923 0.000 1.000 0.000 0.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     6  0.3966     0.7259 0.000 0.000 0.072 0.148 0.008 0.772
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0790     0.8786 0.000 0.968 0.000 0.000 0.032 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000     0.8923 0.000 1.000 0.000 0.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     5  0.4361     0.7352 0.000 0.168 0.000 0.112 0.720 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     5  0.1461     0.8440 0.000 0.016 0.000 0.044 0.940 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.8923 0.000 1.000 0.000 0.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.3602     0.7502 0.000 0.796 0.000 0.088 0.116 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     6  0.5803     0.0948 0.000 0.000 0.376 0.144 0.008 0.472
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     5  0.5112     0.5710 0.000 0.296 0.000 0.112 0.592 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.1219     0.8692 0.000 0.948 0.000 0.048 0.004 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     5  0.1398     0.8420 0.000 0.008 0.000 0.052 0.940 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     4  0.4556     0.6350 0.100 0.000 0.000 0.688 0.000 0.212
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     6  0.0000     0.8531 0.000 0.000 0.000 0.000 0.000 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0291     0.8900 0.000 0.992 0.000 0.004 0.004 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     6  0.5994     0.1028 0.000 0.000 0.360 0.180 0.008 0.452
#> 5F1797CC-C35C-44D4-867B-9824FE037552     6  0.0000     0.8531 0.000 0.000 0.000 0.000 0.000 1.000

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-CV-pam-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-CV-pam-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-CV-pam-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-CV-pam-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-CV-pam-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-CV-pam-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-CV-pam-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-CV-pam-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-CV-pam-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-CV-pam-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-CV-pam-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-CV-pam-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-CV-pam-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-CV-pam-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-CV-pam-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-CV-pam-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-CV-pam-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-CV-pam-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-CV-pam-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-CV-pam-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk CV-pam-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-CV-pam-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-CV-pam-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-CV-pam-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-CV-pam-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-CV-pam-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk CV-pam-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


CV:mclust**

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["CV", "mclust"]
# you can also extract it by
# res = res_list["CV:mclust"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#>   Subgroups are detected by 'mclust' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 3.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk CV-mclust-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk CV-mclust-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 1.000           0.999       0.999         0.5033 0.497   0.497
#> 3 3 1.000           0.978       0.989         0.2623 0.868   0.735
#> 4 4 0.834           0.853       0.877         0.0755 0.972   0.923
#> 5 5 0.799           0.683       0.844         0.0627 0.949   0.855
#> 6 6 0.716           0.690       0.794         0.0594 0.935   0.794

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2

There is also optional best \(k\) = 2 that is worth to check.

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette    p1    p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1   0.000      1.000 1.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2   0.000      0.999 0.000 1.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1   0.000      1.000 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1   0.000      1.000 1.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1   0.000      1.000 1.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2   0.000      0.999 0.000 1.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1   0.000      1.000 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2   0.482      0.884 0.104 0.896
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1   0.000      1.000 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1   0.000      1.000 1.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     1   0.000      1.000 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     1   0.000      1.000 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2   0.000      0.999 0.000 1.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1   0.000      1.000 1.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2   0.000      0.999 0.000 1.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1   0.000      1.000 1.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1   0.000      1.000 1.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2   0.000      0.999 0.000 1.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2   0.000      0.999 0.000 1.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2   0.000      0.999 0.000 1.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2   0.000      0.999 0.000 1.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2   0.000      0.999 0.000 1.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2   0.000      0.999 0.000 1.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2   0.000      0.999 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2   0.000      0.999 0.000 1.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1   0.000      1.000 1.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1   0.000      1.000 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2   0.000      0.999 0.000 1.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1   0.000      1.000 1.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2   0.000      0.999 0.000 1.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1   0.000      1.000 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1   0.000      1.000 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2   0.000      0.999 0.000 1.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1   0.000      1.000 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1   0.000      1.000 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1   0.000      1.000 1.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1   0.000      1.000 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2   0.000      0.999 0.000 1.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2   0.000      0.999 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2   0.000      0.999 0.000 1.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1   0.000      1.000 1.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1   0.000      1.000 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2   0.000      0.999 0.000 1.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1   0.000      1.000 1.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2   0.000      0.999 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1   0.000      1.000 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1   0.000      1.000 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1   0.000      1.000 1.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2   0.000      0.999 0.000 1.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2   0.000      0.999 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1   0.000      1.000 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2   0.000      0.999 0.000 1.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2   0.000      0.999 0.000 1.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1   0.000      1.000 1.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2   0.000      0.999 0.000 1.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2   0.000      0.999 0.000 1.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1   0.000      1.000 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2   0.000      0.999 0.000 1.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2   0.000      0.999 0.000 1.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2   0.000      0.999 0.000 1.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1   0.000      1.000 1.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2   0.000      0.999 0.000 1.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1   0.000      1.000 1.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2   0.000      0.999 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1   0.000      1.000 1.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2   0.000      0.999 0.000 1.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2   0.000      0.999 0.000 1.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2   0.000      0.999 0.000 1.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     1   0.000      1.000 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1   0.000      1.000 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1   0.000      1.000 1.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1   0.000      1.000 1.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1   0.000      1.000 1.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2   0.000      0.999 0.000 1.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1   0.000      1.000 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1   0.000      1.000 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2   0.000      0.999 0.000 1.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2   0.000      0.999 0.000 1.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1   0.000      1.000 1.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     1   0.000      1.000 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2   0.000      0.999 0.000 1.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1   0.000      1.000 1.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2   0.000      0.999 0.000 1.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1   0.000      1.000 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1   0.000      1.000 1.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1   0.000      1.000 1.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2   0.000      0.999 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2   0.000      0.999 0.000 1.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2   0.000      0.999 0.000 1.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1   0.000      1.000 1.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2   0.000      0.999 0.000 1.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1   0.000      1.000 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2   0.000      0.999 0.000 1.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2   0.000      0.999 0.000 1.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2   0.000      0.999 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1   0.000      1.000 1.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1   0.000      1.000 1.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     1   0.000      1.000 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2   0.000      0.999 0.000 1.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1   0.000      1.000 1.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2   0.000      0.999 0.000 1.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1   0.000      1.000 1.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2   0.000      0.999 0.000 1.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1   0.000      1.000 1.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1   0.000      1.000 1.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2   0.000      0.999 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1   0.000      1.000 1.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2   0.000      0.999 0.000 1.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1   0.000      1.000 1.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1   0.000      1.000 1.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2   0.000      0.999 0.000 1.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2   0.000      0.999 0.000 1.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1   0.000      1.000 1.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2   0.000      0.999 0.000 1.000
#> 86689648-2C4A-456F-A551-B9731400846C     1   0.000      1.000 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1   0.000      1.000 1.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2   0.000      0.999 0.000 1.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     1   0.000      1.000 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1   0.000      1.000 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1   0.000      1.000 1.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1   0.000      1.000 1.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     1   0.000      1.000 1.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1   0.000      1.000 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1   0.000      1.000 1.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1   0.000      1.000 1.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2   0.000      0.999 0.000 1.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2   0.000      0.999 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1   0.000      1.000 1.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2   0.000      0.999 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2   0.000      0.999 0.000 1.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1   0.000      1.000 1.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2   0.000      0.999 0.000 1.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1   0.000      1.000 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2   0.000      0.999 0.000 1.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2   0.000      0.999 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     1   0.000      1.000 1.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1   0.000      1.000 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2   0.000      0.999 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2   0.000      0.999 0.000 1.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2   0.000      0.999 0.000 1.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1   0.000      1.000 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2   0.000      0.999 0.000 1.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2   0.000      0.999 0.000 1.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2   0.000      0.999 0.000 1.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2   0.000      0.999 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2   0.000      0.999 0.000 1.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2   0.000      0.999 0.000 1.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1   0.000      1.000 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2   0.000      0.999 0.000 1.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2   0.000      0.999 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2   0.000      0.999 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1   0.000      1.000 1.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1   0.000      1.000 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2   0.000      0.999 0.000 1.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     1   0.000      1.000 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1   0.000      1.000 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1    p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.964 1.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.998 0.000 1.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      1.000 0.000 0.000 1.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.964 1.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.1289      0.946 0.968 0.000 0.032
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.998 0.000 1.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      1.000 0.000 0.000 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.3816      0.826 0.000 0.852 0.148
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000      1.000 0.000 0.000 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.1289      0.946 0.968 0.000 0.032
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000      1.000 0.000 0.000 1.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      1.000 0.000 0.000 1.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.998 0.000 1.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.964 1.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.998 0.000 1.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      0.964 1.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      0.964 1.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.998 0.000 1.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.998 0.000 1.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.998 0.000 1.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.998 0.000 1.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.998 0.000 1.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.998 0.000 1.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      0.998 0.000 1.000 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.998 0.000 1.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.5431      0.647 0.716 0.000 0.284
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      1.000 0.000 0.000 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.998 0.000 1.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.964 1.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.998 0.000 1.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      1.000 0.000 0.000 1.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0000      1.000 0.000 0.000 1.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.0000      0.998 0.000 1.000 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      1.000 0.000 0.000 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0000      1.000 0.000 0.000 1.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.964 1.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      1.000 0.000 0.000 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.998 0.000 1.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000      0.998 0.000 1.000 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      0.998 0.000 1.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.964 1.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      1.000 0.000 0.000 1.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0000      0.998 0.000 1.000 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.964 1.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000      0.998 0.000 1.000 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      1.000 0.000 0.000 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      1.000 0.000 0.000 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.964 1.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      0.998 0.000 1.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000      0.998 0.000 1.000 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      1.000 0.000 0.000 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.998 0.000 1.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.998 0.000 1.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.964 1.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.998 0.000 1.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      0.998 0.000 1.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000      1.000 0.000 0.000 1.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.998 0.000 1.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      0.998 0.000 1.000 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.998 0.000 1.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.964 1.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      0.998 0.000 1.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.964 1.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      0.998 0.000 1.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.964 1.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      0.998 0.000 1.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      0.998 0.000 1.000 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.998 0.000 1.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      1.000 0.000 0.000 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      1.000 0.000 0.000 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.964 1.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.1289      0.946 0.968 0.000 0.032
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.964 1.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000      0.998 0.000 1.000 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      1.000 0.000 0.000 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      1.000 0.000 0.000 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.998 0.000 1.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.998 0.000 1.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.964 1.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      1.000 0.000 0.000 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.998 0.000 1.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.3192      0.876 0.888 0.000 0.112
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.998 0.000 1.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000      1.000 0.000 0.000 1.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      0.964 1.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.1964      0.928 0.944 0.000 0.056
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000      0.998 0.000 1.000 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.998 0.000 1.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      0.998 0.000 1.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      0.964 1.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      0.998 0.000 1.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      1.000 0.000 0.000 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.998 0.000 1.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.998 0.000 1.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000      0.998 0.000 1.000 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.964 1.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.964 1.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      1.000 0.000 0.000 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.998 0.000 1.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      0.964 1.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      0.998 0.000 1.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.2796      0.891 0.908 0.000 0.092
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.998 0.000 1.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.4750      0.749 0.784 0.000 0.216
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.964 1.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      0.998 0.000 1.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.964 1.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.998 0.000 1.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.964 1.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000      1.000 0.000 0.000 1.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      0.998 0.000 1.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.998 0.000 1.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.964 1.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.998 0.000 1.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      1.000 0.000 0.000 1.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.964 1.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      0.998 0.000 1.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      1.000 0.000 0.000 1.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      1.000 0.000 0.000 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.964 1.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0892      0.953 0.980 0.000 0.020
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0000      1.000 0.000 0.000 1.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      1.000 0.000 0.000 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.964 1.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.1289      0.946 0.968 0.000 0.032
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.998 0.000 1.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000      0.998 0.000 1.000 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      0.964 1.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      0.998 0.000 1.000 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      0.998 0.000 1.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.964 1.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.998 0.000 1.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      1.000 0.000 0.000 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      0.998 0.000 1.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000      0.998 0.000 1.000 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.5560      0.619 0.700 0.000 0.300
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000      1.000 0.000 0.000 1.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      0.998 0.000 1.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.998 0.000 1.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.998 0.000 1.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      1.000 0.000 0.000 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.998 0.000 1.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.998 0.000 1.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      0.998 0.000 1.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      0.998 0.000 1.000 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.998 0.000 1.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.998 0.000 1.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      1.000 0.000 0.000 1.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      0.998 0.000 1.000 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      0.998 0.000 1.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      0.998 0.000 1.000 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.5621      0.606 0.692 0.000 0.308
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      1.000 0.000 0.000 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.998 0.000 1.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      1.000 0.000 0.000 1.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      1.000 0.000 0.000 1.000

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0707      0.917 0.980 0.000 0.000 0.020
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0336      0.929 0.000 0.992 0.008 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     4  0.1637      0.765 0.000 0.000 0.060 0.940
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.2011      0.870 0.920 0.000 0.000 0.080
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.2281      0.918 0.000 0.904 0.096 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.4907      0.990 0.000 0.000 0.580 0.420
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.4907      0.655 0.000 0.580 0.420 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     4  0.0000      0.811 0.000 0.000 0.000 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.2011      0.870 0.920 0.000 0.000 0.080
#> 12078907-435A-46C9-96C1-24E71BF4602D     4  0.0188      0.810 0.000 0.000 0.004 0.996
#> 8670C657-F6AB-4767-9278-42E64C614370     4  0.4804     -0.396 0.000 0.000 0.384 0.616
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0336      0.930 0.000 0.992 0.008 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.4008      0.790 0.000 0.756 0.244 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0188      0.924 0.996 0.000 0.000 0.004
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0188      0.924 0.996 0.000 0.000 0.004
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0336      0.930 0.000 0.992 0.008 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0336      0.930 0.000 0.992 0.008 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.1637      0.926 0.000 0.940 0.060 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0336      0.930 0.000 0.992 0.008 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0592      0.929 0.000 0.984 0.016 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0336      0.930 0.000 0.992 0.008 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.4477      0.754 0.000 0.688 0.312 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0469      0.929 0.000 0.988 0.012 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.4967      0.326 0.548 0.000 0.000 0.452
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.4907      0.990 0.000 0.000 0.580 0.420
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0592      0.929 0.000 0.984 0.016 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.2469      0.913 0.000 0.892 0.108 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.4907      0.990 0.000 0.000 0.580 0.420
#> E6F801F4-9289-4623-B7D9-60CA56C71683     4  0.0188      0.810 0.000 0.000 0.004 0.996
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.4907      0.657 0.000 0.580 0.420 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.4907      0.990 0.000 0.000 0.580 0.420
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     4  0.0188      0.810 0.000 0.000 0.004 0.996
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.4907      0.990 0.000 0.000 0.580 0.420
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0592      0.929 0.000 0.984 0.016 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.4855      0.682 0.000 0.600 0.400 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0188      0.930 0.000 0.996 0.004 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     4  0.4830     -0.429 0.000 0.000 0.392 0.608
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.2647      0.910 0.000 0.880 0.120 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0707      0.917 0.980 0.000 0.000 0.020
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.1474      0.917 0.000 0.948 0.052 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.4907      0.990 0.000 0.000 0.580 0.420
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     4  0.0000      0.811 0.000 0.000 0.000 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0336      0.930 0.000 0.992 0.008 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.2814      0.897 0.000 0.868 0.132 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.4907      0.990 0.000 0.000 0.580 0.420
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.3649      0.858 0.000 0.796 0.204 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0592      0.929 0.000 0.984 0.016 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0336      0.930 0.000 0.992 0.008 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.4040      0.790 0.000 0.752 0.248 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.4907      0.990 0.000 0.000 0.580 0.420
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.1389      0.927 0.000 0.952 0.048 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.4624      0.736 0.000 0.660 0.340 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.2011      0.924 0.000 0.920 0.080 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.1557      0.926 0.000 0.944 0.056 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.2469      0.913 0.000 0.892 0.108 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.1474      0.926 0.000 0.948 0.052 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.1716      0.925 0.000 0.936 0.064 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0469      0.929 0.000 0.988 0.012 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.4907      0.990 0.000 0.000 0.580 0.420
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.4907      0.990 0.000 0.000 0.580 0.420
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.2011      0.870 0.920 0.000 0.000 0.080
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.4624      0.738 0.000 0.660 0.340 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.4907      0.990 0.000 0.000 0.580 0.420
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.4907      0.990 0.000 0.000 0.580 0.420
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.1637      0.926 0.000 0.940 0.060 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0592      0.929 0.000 0.984 0.016 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0707      0.917 0.980 0.000 0.000 0.020
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.4907      0.990 0.000 0.000 0.580 0.420
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.2973      0.897 0.000 0.856 0.144 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.4193      0.600 0.732 0.000 0.000 0.268
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0336      0.930 0.000 0.992 0.008 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     4  0.4134      0.321 0.000 0.000 0.260 0.740
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0817      0.917 0.976 0.000 0.000 0.024
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.2704      0.825 0.876 0.000 0.000 0.124
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.1792      0.918 0.000 0.932 0.068 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0469      0.929 0.000 0.988 0.012 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.1474      0.926 0.000 0.948 0.052 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0336      0.930 0.000 0.992 0.008 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.4907      0.990 0.000 0.000 0.580 0.420
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0336      0.930 0.000 0.992 0.008 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.1716      0.921 0.000 0.936 0.064 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.2868      0.895 0.000 0.864 0.136 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0188      0.924 0.996 0.000 0.000 0.004
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.4907      0.990 0.000 0.000 0.580 0.420
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0469      0.929 0.000 0.988 0.012 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0188      0.924 0.996 0.000 0.000 0.004
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0592      0.929 0.000 0.984 0.016 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.4250      0.657 0.724 0.000 0.000 0.276
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0336      0.930 0.000 0.992 0.008 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.4981      0.294 0.536 0.000 0.000 0.464
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.1637      0.926 0.000 0.940 0.060 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0336      0.922 0.992 0.000 0.000 0.008
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0469      0.929 0.000 0.988 0.012 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.4866      0.957 0.000 0.000 0.596 0.404
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.2469      0.913 0.000 0.892 0.108 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.1637      0.926 0.000 0.940 0.060 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0336      0.930 0.000 0.992 0.008 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.4907      0.990 0.000 0.000 0.580 0.420
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.1474      0.926 0.000 0.948 0.052 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     4  0.4866     -0.449 0.000 0.000 0.404 0.596
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     4  0.0592      0.805 0.000 0.000 0.016 0.984
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.1211      0.902 0.960 0.000 0.000 0.040
#> B18217F7-303C-4104-848E-A354DADE72BF     4  0.0188      0.810 0.000 0.000 0.004 0.996
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.4907      0.990 0.000 0.000 0.580 0.420
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0707      0.917 0.980 0.000 0.000 0.020
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.2149      0.863 0.912 0.000 0.000 0.088
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0336      0.930 0.000 0.992 0.008 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.2345      0.913 0.000 0.900 0.100 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0188      0.924 0.996 0.000 0.000 0.004
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.2530      0.908 0.000 0.888 0.112 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0707      0.928 0.000 0.980 0.020 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.924 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.1557      0.926 0.000 0.944 0.056 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     4  0.0000      0.811 0.000 0.000 0.000 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0592      0.929 0.000 0.984 0.016 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.4406      0.788 0.000 0.700 0.300 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.4981      0.294 0.536 0.000 0.000 0.464
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     4  0.0188      0.810 0.000 0.000 0.004 0.996
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.1557      0.926 0.000 0.944 0.056 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0336      0.930 0.000 0.992 0.008 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.2530      0.912 0.000 0.888 0.112 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     4  0.3610      0.510 0.000 0.000 0.200 0.800
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0592      0.929 0.000 0.984 0.016 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0469      0.930 0.000 0.988 0.012 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.4331      0.782 0.000 0.712 0.288 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.2345      0.913 0.000 0.900 0.100 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.1716      0.921 0.000 0.936 0.064 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.1474      0.925 0.000 0.948 0.052 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     4  0.1389      0.778 0.000 0.000 0.048 0.952
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.4431      0.770 0.000 0.696 0.304 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.1474      0.926 0.000 0.948 0.052 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.1557      0.916 0.000 0.944 0.056 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.4981      0.294 0.536 0.000 0.000 0.464
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     4  0.0707      0.802 0.000 0.000 0.020 0.980
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.2408      0.915 0.000 0.896 0.104 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.4994      0.842 0.000 0.000 0.520 0.480
#> 5F1797CC-C35C-44D4-867B-9824FE037552     4  0.0000      0.811 0.000 0.000 0.000 1.000

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.3171     0.8450 0.816 0.000 0.000 0.176 0.008
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0162     0.8059 0.000 0.996 0.000 0.004 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     5  0.4533     0.5774 0.000 0.000 0.448 0.008 0.544
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.1341     0.9067 0.944 0.000 0.000 0.056 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.0693     0.9206 0.980 0.000 0.008 0.012 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.1894     0.7975 0.000 0.920 0.000 0.072 0.008
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000     0.8407 0.000 0.000 1.000 0.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.7125     0.9412 0.000 0.220 0.020 0.384 0.376
#> 211FD575-40D6-4E44-818F-3A382F4634DA     5  0.4161     0.6677 0.000 0.000 0.392 0.000 0.608
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0290     0.9217 0.992 0.000 0.008 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     5  0.4310     0.6669 0.000 0.000 0.392 0.004 0.604
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.3561     0.4129 0.000 0.000 0.740 0.000 0.260
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000     0.8052 0.000 1.000 0.000 0.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.3890     0.4155 0.000 0.736 0.000 0.252 0.012
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.2891     0.8494 0.824 0.000 0.000 0.176 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000     0.8052 0.000 1.000 0.000 0.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000     0.8052 0.000 1.000 0.000 0.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.1478     0.8007 0.000 0.936 0.000 0.064 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000     0.8052 0.000 1.000 0.000 0.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.2690     0.7431 0.000 0.844 0.000 0.156 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000     0.8052 0.000 1.000 0.000 0.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     5  0.6790    -0.9178 0.000 0.292 0.000 0.328 0.380
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.1270     0.8031 0.000 0.948 0.000 0.052 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.5877     0.6892 0.668 0.000 0.112 0.184 0.036
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0162     0.8391 0.000 0.000 0.996 0.000 0.004
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.4219     0.3842 0.000 0.584 0.000 0.416 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.1894     0.7975 0.000 0.920 0.000 0.072 0.008
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0162     0.8390 0.000 0.000 0.996 0.000 0.004
#> E6F801F4-9289-4623-B7D9-60CA56C71683     5  0.4299     0.6654 0.000 0.000 0.388 0.004 0.608
#> B644962A-DEFE-4169-A39E-EF2141F5125A     5  0.6823    -0.9684 0.000 0.236 0.004 0.372 0.388
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.8407 0.000 0.000 1.000 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     5  0.4299     0.6654 0.000 0.000 0.388 0.004 0.608
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000     0.8407 0.000 0.000 1.000 0.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.1792     0.7945 0.000 0.916 0.000 0.084 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.6360    -0.5045 0.000 0.448 0.000 0.164 0.388
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0290     0.8063 0.000 0.992 0.000 0.008 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.3895     0.2224 0.000 0.000 0.680 0.000 0.320
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.5865     0.1136 0.000 0.532 0.000 0.108 0.360
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.3171     0.8450 0.816 0.000 0.000 0.176 0.008
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.3210     0.5804 0.000 0.788 0.000 0.000 0.212
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.8407 0.000 0.000 1.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     5  0.4161     0.6677 0.000 0.000 0.392 0.000 0.608
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0404     0.8003 0.000 0.988 0.000 0.012 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.4088     0.2211 0.000 0.632 0.000 0.000 0.368
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.8407 0.000 0.000 1.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.2513     0.7685 0.000 0.876 0.000 0.116 0.008
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.4235     0.3689 0.000 0.576 0.000 0.424 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000     0.8052 0.000 1.000 0.000 0.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.4356     0.1455 0.000 0.648 0.000 0.340 0.012
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0451     0.8326 0.000 0.000 0.988 0.004 0.008
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000     0.8052 0.000 1.000 0.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.6718     0.9670 0.000 0.248 0.000 0.384 0.368
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.1792     0.7965 0.000 0.916 0.000 0.084 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.1270     0.8031 0.000 0.948 0.000 0.052 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.2462     0.7718 0.000 0.880 0.000 0.112 0.008
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.1732     0.8964 0.920 0.000 0.000 0.080 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000     0.8052 0.000 1.000 0.000 0.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.4613     0.1771 0.000 0.620 0.000 0.020 0.360
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.4192     0.3964 0.000 0.596 0.000 0.404 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.8407 0.000 0.000 1.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000     0.8407 0.000 0.000 1.000 0.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0290     0.9217 0.992 0.000 0.008 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.6738     0.9607 0.000 0.256 0.000 0.376 0.368
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0162     0.8390 0.000 0.000 0.996 0.000 0.004
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.8407 0.000 0.000 1.000 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.1478     0.8007 0.000 0.936 0.000 0.064 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.4219     0.3842 0.000 0.584 0.000 0.416 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.3171     0.8450 0.816 0.000 0.000 0.176 0.008
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0162     0.8391 0.000 0.000 0.996 0.000 0.004
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.2077     0.7921 0.000 0.908 0.000 0.084 0.008
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.0290     0.9217 0.992 0.000 0.008 0.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000     0.8052 0.000 1.000 0.000 0.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.4183     0.1577 0.000 0.000 0.668 0.008 0.324
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.3171     0.8450 0.816 0.000 0.000 0.176 0.008
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0703     0.9114 0.976 0.000 0.024 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0404     0.8018 0.000 0.988 0.000 0.000 0.012
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.1270     0.8031 0.000 0.948 0.000 0.052 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0290     0.8063 0.000 0.992 0.000 0.008 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.2891     0.8494 0.824 0.000 0.000 0.176 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0290     0.8031 0.000 0.992 0.000 0.000 0.008
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.8407 0.000 0.000 1.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000     0.8052 0.000 1.000 0.000 0.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.4256     0.3555 0.000 0.564 0.000 0.436 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.4101     0.2097 0.000 0.628 0.000 0.000 0.372
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.8407 0.000 0.000 1.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.1270     0.8031 0.000 0.948 0.000 0.052 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0290     0.8031 0.000 0.992 0.000 0.000 0.008
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.5673     0.6509 0.632 0.000 0.000 0.184 0.184
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000     0.8052 0.000 1.000 0.000 0.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.7181    -0.0177 0.400 0.000 0.384 0.184 0.032
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.1544     0.8001 0.000 0.932 0.000 0.068 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.2891     0.8494 0.824 0.000 0.000 0.176 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.1270     0.8031 0.000 0.948 0.000 0.052 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0566     0.8320 0.000 0.000 0.984 0.004 0.012
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.2962     0.7723 0.000 0.868 0.000 0.084 0.048
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.1478     0.8007 0.000 0.936 0.000 0.064 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0510     0.9211 0.984 0.000 0.000 0.016 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000     0.8052 0.000 1.000 0.000 0.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0162     0.8390 0.000 0.000 0.996 0.000 0.004
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000     0.8052 0.000 1.000 0.000 0.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.4298     0.0422 0.000 0.000 0.640 0.008 0.352
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     5  0.4455     0.6556 0.000 0.000 0.404 0.008 0.588
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     5  0.5924     0.4313 0.156 0.000 0.232 0.004 0.608
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0162     0.8391 0.000 0.000 0.996 0.000 0.004
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.3171     0.8450 0.816 0.000 0.000 0.176 0.008
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0290     0.9217 0.992 0.000 0.008 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000     0.8052 0.000 1.000 0.000 0.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.4060     0.2443 0.000 0.640 0.000 0.000 0.360
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.4074     0.2322 0.000 0.636 0.000 0.000 0.364
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0404     0.8018 0.000 0.988 0.000 0.000 0.012
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9249 1.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.1270     0.8031 0.000 0.948 0.000 0.052 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     5  0.4321     0.6656 0.000 0.000 0.396 0.004 0.600
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.1478     0.8007 0.000 0.936 0.000 0.064 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.5255    -0.0455 0.000 0.560 0.000 0.052 0.388
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.8296    -0.1215 0.260 0.000 0.380 0.184 0.176
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     5  0.4310     0.6669 0.000 0.000 0.392 0.004 0.604
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.1270     0.8031 0.000 0.948 0.000 0.052 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000     0.8052 0.000 1.000 0.000 0.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.2017     0.7938 0.000 0.912 0.000 0.080 0.008
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.4549    -0.4094 0.000 0.000 0.528 0.008 0.464
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.1410     0.8016 0.000 0.940 0.000 0.060 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.1270     0.8031 0.000 0.948 0.000 0.052 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.4341     0.0871 0.000 0.628 0.000 0.364 0.008
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.4015     0.2779 0.000 0.652 0.000 0.000 0.348
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.4256     0.3555 0.000 0.564 0.000 0.436 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.4256     0.3555 0.000 0.564 0.000 0.436 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     5  0.4533     0.5774 0.000 0.000 0.448 0.008 0.544
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.4494     0.0098 0.000 0.608 0.000 0.380 0.012
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000     0.8052 0.000 1.000 0.000 0.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0404     0.8018 0.000 0.988 0.000 0.000 0.012
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.6459     0.6023 0.600 0.000 0.032 0.184 0.184
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     5  0.4481     0.6387 0.000 0.000 0.416 0.008 0.576
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.1792     0.7968 0.000 0.916 0.000 0.084 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.1041     0.8063 0.000 0.000 0.964 0.004 0.032
#> 5F1797CC-C35C-44D4-867B-9824FE037552     5  0.4321     0.6656 0.000 0.000 0.396 0.004 0.600

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     5  0.3647     0.7736 0.360 0.000 0.000 0.000 0.640 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.1340     0.7818 0.000 0.948 0.000 0.008 0.004 0.040
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     6  0.4568     0.7455 0.000 0.000 0.344 0.040 0.004 0.612
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.2378     0.7170 0.848 0.000 0.000 0.000 0.152 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.4088     0.3491 0.616 0.000 0.000 0.000 0.368 0.016
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.2730     0.6976 0.000 0.836 0.000 0.152 0.012 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.1663     0.7930 0.000 0.000 0.912 0.000 0.000 0.088
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.1010     0.6772 0.000 0.036 0.004 0.960 0.000 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     6  0.2996     0.8362 0.000 0.000 0.228 0.000 0.000 0.772
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.3695     0.5763 0.712 0.000 0.000 0.000 0.272 0.016
#> 12078907-435A-46C9-96C1-24E71BF4602D     6  0.3081     0.8368 0.000 0.000 0.220 0.000 0.004 0.776
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.4047     0.3813 0.000 0.000 0.604 0.012 0.000 0.384
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.1340     0.7818 0.000 0.948 0.000 0.008 0.004 0.040
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.8655 1.000 0.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.3190     0.5808 0.000 0.772 0.000 0.220 0.008 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.1895     0.8162 0.912 0.000 0.000 0.000 0.072 0.016
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     5  0.3126     0.8005 0.248 0.000 0.000 0.000 0.752 0.000
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#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     6  0.4138     0.7825 0.000 0.000 0.320 0.020 0.004 0.656
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.4128     0.6799 0.000 0.768 0.000 0.124 0.096 0.012
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.2772     0.7772 0.000 0.000 0.864 0.040 0.004 0.092
#> 5F1797CC-C35C-44D4-867B-9824FE037552     6  0.3464     0.7918 0.000 0.000 0.312 0.000 0.000 0.688

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-CV-mclust-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-CV-mclust-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-CV-mclust-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-CV-mclust-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-CV-mclust-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-CV-mclust-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-CV-mclust-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-CV-mclust-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-CV-mclust-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-CV-mclust-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-CV-mclust-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-CV-mclust-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-CV-mclust-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-CV-mclust-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-CV-mclust-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-CV-mclust-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-CV-mclust-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-CV-mclust-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-CV-mclust-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-CV-mclust-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk CV-mclust-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-CV-mclust-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-CV-mclust-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-CV-mclust-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-CV-mclust-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-CV-mclust-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk CV-mclust-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


CV:NMF**

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["CV", "NMF"]
# you can also extract it by
# res = res_list["CV:NMF"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#>   Subgroups are detected by 'NMF' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 3.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk CV-NMF-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk CV-NMF-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 1.000           0.995       0.998         0.5036 0.497   0.497
#> 3 3 1.000           0.991       0.996         0.2619 0.861   0.723
#> 4 4 0.863           0.773       0.903         0.0864 0.967   0.910
#> 5 5 0.800           0.814       0.893         0.0684 0.920   0.764
#> 6 6 0.786           0.630       0.793         0.0608 0.938   0.777

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2

There is also optional best \(k\) = 2 that is worth to check.

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette    p1    p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1   0.000      0.996 1.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2   0.000      1.000 0.000 1.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1   0.000      0.996 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1   0.000      0.996 1.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1   0.000      0.996 1.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2   0.000      1.000 0.000 1.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1   0.000      0.996 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2   0.000      1.000 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1   0.000      0.996 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1   0.000      0.996 1.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     1   0.000      0.996 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     1   0.000      0.996 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2   0.000      1.000 0.000 1.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1   0.000      0.996 1.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2   0.000      1.000 0.000 1.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1   0.000      0.996 1.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1   0.000      0.996 1.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2   0.000      1.000 0.000 1.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2   0.000      1.000 0.000 1.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2   0.000      1.000 0.000 1.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2   0.000      1.000 0.000 1.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2   0.000      1.000 0.000 1.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2   0.000      1.000 0.000 1.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2   0.000      1.000 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2   0.000      1.000 0.000 1.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1   0.000      0.996 1.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1   0.000      0.996 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2   0.000      1.000 0.000 1.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1   0.000      0.996 1.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2   0.000      1.000 0.000 1.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1   0.000      0.996 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1   0.000      0.996 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2   0.000      1.000 0.000 1.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1   0.000      0.996 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1   0.000      0.996 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1   0.000      0.996 1.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1   0.000      0.996 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2   0.000      1.000 0.000 1.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2   0.000      1.000 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2   0.000      1.000 0.000 1.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1   0.000      0.996 1.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1   0.000      0.996 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2   0.000      1.000 0.000 1.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1   0.000      0.996 1.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2   0.000      1.000 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1   0.000      0.996 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1   0.000      0.996 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1   0.000      0.996 1.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2   0.000      1.000 0.000 1.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2   0.000      1.000 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1   0.000      0.996 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2   0.000      1.000 0.000 1.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2   0.000      1.000 0.000 1.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1   0.000      0.996 1.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2   0.000      1.000 0.000 1.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2   0.000      1.000 0.000 1.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1   0.000      0.996 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2   0.000      1.000 0.000 1.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2   0.000      1.000 0.000 1.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2   0.000      1.000 0.000 1.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1   0.000      0.996 1.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2   0.000      1.000 0.000 1.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1   0.000      0.996 1.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2   0.000      1.000 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1   0.000      0.996 1.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2   0.000      1.000 0.000 1.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2   0.000      1.000 0.000 1.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2   0.000      1.000 0.000 1.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     1   0.000      0.996 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1   0.000      0.996 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1   0.000      0.996 1.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1   0.373      0.922 0.928 0.072
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1   0.000      0.996 1.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2   0.000      1.000 0.000 1.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1   0.000      0.996 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1   0.000      0.996 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2   0.000      1.000 0.000 1.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2   0.000      1.000 0.000 1.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1   0.000      0.996 1.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     1   0.000      0.996 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2   0.000      1.000 0.000 1.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1   0.000      0.996 1.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2   0.000      1.000 0.000 1.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1   0.000      0.996 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1   0.000      0.996 1.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1   0.722      0.753 0.800 0.200
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2   0.000      1.000 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2   0.000      1.000 0.000 1.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2   0.000      1.000 0.000 1.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1   0.000      0.996 1.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2   0.000      1.000 0.000 1.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1   0.000      0.996 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2   0.000      1.000 0.000 1.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2   0.000      1.000 0.000 1.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2   0.000      1.000 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1   0.000      0.996 1.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1   0.000      0.996 1.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     1   0.000      0.996 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2   0.000      1.000 0.000 1.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1   0.000      0.996 1.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2   0.000      1.000 0.000 1.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1   0.000      0.996 1.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2   0.000      1.000 0.000 1.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1   0.000      0.996 1.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1   0.000      0.996 1.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2   0.000      1.000 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1   0.000      0.996 1.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2   0.000      1.000 0.000 1.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1   0.000      0.996 1.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1   0.000      0.996 1.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2   0.000      1.000 0.000 1.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2   0.000      1.000 0.000 1.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1   0.000      0.996 1.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2   0.000      1.000 0.000 1.000
#> 86689648-2C4A-456F-A551-B9731400846C     1   0.000      0.996 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1   0.000      0.996 1.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2   0.000      1.000 0.000 1.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     1   0.000      0.996 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1   0.000      0.996 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1   0.000      0.996 1.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1   0.260      0.953 0.956 0.044
#> B18217F7-303C-4104-848E-A354DADE72BF     1   0.000      0.996 1.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1   0.000      0.996 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1   0.000      0.996 1.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     2   0.000      1.000 0.000 1.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2   0.000      1.000 0.000 1.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2   0.000      1.000 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1   0.141      0.977 0.980 0.020
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2   0.000      1.000 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2   0.000      1.000 0.000 1.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1   0.000      0.996 1.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2   0.000      1.000 0.000 1.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1   0.000      0.996 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2   0.000      1.000 0.000 1.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2   0.000      1.000 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     1   0.000      0.996 1.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1   0.000      0.996 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2   0.000      1.000 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2   0.000      1.000 0.000 1.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2   0.000      1.000 0.000 1.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1   0.000      0.996 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2   0.000      1.000 0.000 1.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2   0.000      1.000 0.000 1.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2   0.000      1.000 0.000 1.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2   0.000      1.000 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2   0.000      1.000 0.000 1.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2   0.000      1.000 0.000 1.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1   0.000      0.996 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2   0.000      1.000 0.000 1.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2   0.000      1.000 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2   0.000      1.000 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1   0.000      0.996 1.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1   0.000      0.996 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2   0.000      1.000 0.000 1.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     1   0.000      0.996 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1   0.000      0.996 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1 p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1   0.000      1.000 1.000  0 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2   0.000      1.000 0.000  1 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3   0.000      0.986 0.000  0 1.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1   0.000      1.000 1.000  0 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1   0.000      1.000 1.000  0 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2   0.000      1.000 0.000  1 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3   0.000      0.986 0.000  0 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2   0.000      1.000 0.000  1 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3   0.000      0.986 0.000  0 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1   0.000      1.000 1.000  0 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3   0.000      0.986 0.000  0 1.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3   0.000      0.986 0.000  0 1.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2   0.000      1.000 0.000  1 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1   0.000      1.000 1.000  0 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2   0.000      1.000 0.000  1 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1   0.000      1.000 1.000  0 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1   0.000      1.000 1.000  0 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2   0.000      1.000 0.000  1 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2   0.000      1.000 0.000  1 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2   0.000      1.000 0.000  1 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2   0.000      1.000 0.000  1 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2   0.000      1.000 0.000  1 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2   0.000      1.000 0.000  1 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2   0.000      1.000 0.000  1 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2   0.000      1.000 0.000  1 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1   0.000      1.000 1.000  0 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3   0.000      0.986 0.000  0 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2   0.000      1.000 0.000  1 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1   0.000      1.000 1.000  0 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2   0.000      1.000 0.000  1 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3   0.000      0.986 0.000  0 1.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3   0.000      0.986 0.000  0 1.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2   0.000      1.000 0.000  1 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3   0.000      0.986 0.000  0 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3   0.000      0.986 0.000  0 1.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1   0.000      1.000 1.000  0 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3   0.000      0.986 0.000  0 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2   0.000      1.000 0.000  1 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2   0.000      1.000 0.000  1 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2   0.000      1.000 0.000  1 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1   0.000      1.000 1.000  0 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3   0.000      0.986 0.000  0 1.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2   0.000      1.000 0.000  1 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1   0.000      1.000 1.000  0 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2   0.000      1.000 0.000  1 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3   0.000      0.986 0.000  0 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3   0.000      0.986 0.000  0 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1   0.000      1.000 1.000  0 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2   0.000      1.000 0.000  1 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2   0.000      1.000 0.000  1 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3   0.000      0.986 0.000  0 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2   0.000      1.000 0.000  1 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2   0.000      1.000 0.000  1 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1   0.000      1.000 1.000  0 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2   0.000      1.000 0.000  1 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2   0.000      1.000 0.000  1 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3   0.000      0.986 0.000  0 1.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2   0.000      1.000 0.000  1 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2   0.000      1.000 0.000  1 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2   0.000      1.000 0.000  1 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1   0.000      1.000 1.000  0 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2   0.000      1.000 0.000  1 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1   0.000      1.000 1.000  0 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2   0.000      1.000 0.000  1 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1   0.000      1.000 1.000  0 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2   0.000      1.000 0.000  1 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2   0.000      1.000 0.000  1 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2   0.000      1.000 0.000  1 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3   0.000      0.986 0.000  0 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3   0.000      0.986 0.000  0 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1   0.000      1.000 1.000  0 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1   0.000      1.000 1.000  0 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1   0.000      1.000 1.000  0 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2   0.000      1.000 0.000  1 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3   0.000      0.986 0.000  0 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3   0.000      0.986 0.000  0 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2   0.000      1.000 0.000  1 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2   0.000      1.000 0.000  1 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1   0.000      1.000 1.000  0 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3   0.000      0.986 0.000  0 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2   0.000      1.000 0.000  1 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1   0.000      1.000 1.000  0 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2   0.000      1.000 0.000  1 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3   0.000      0.986 0.000  0 1.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1   0.000      1.000 1.000  0 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1   0.000      1.000 1.000  0 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2   0.000      1.000 0.000  1 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2   0.000      1.000 0.000  1 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2   0.000      1.000 0.000  1 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1   0.000      1.000 1.000  0 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2   0.000      1.000 0.000  1 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3   0.000      0.986 0.000  0 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2   0.000      1.000 0.000  1 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2   0.000      1.000 0.000  1 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2   0.000      1.000 0.000  1 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1   0.000      1.000 1.000  0 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1   0.000      1.000 1.000  0 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3   0.000      0.986 0.000  0 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2   0.000      1.000 0.000  1 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1   0.000      1.000 1.000  0 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2   0.000      1.000 0.000  1 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1   0.000      1.000 1.000  0 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2   0.000      1.000 0.000  1 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3   0.369      0.832 0.140  0 0.860
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1   0.000      1.000 1.000  0 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2   0.000      1.000 0.000  1 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1   0.000      1.000 1.000  0 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2   0.000      1.000 0.000  1 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1   0.000      1.000 1.000  0 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3   0.000      0.986 0.000  0 1.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2   0.000      1.000 0.000  1 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2   0.000      1.000 0.000  1 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1   0.000      1.000 1.000  0 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2   0.000      1.000 0.000  1 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3   0.000      0.986 0.000  0 1.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1   0.000      1.000 1.000  0 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2   0.000      1.000 0.000  1 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3   0.000      0.986 0.000  0 1.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3   0.000      0.986 0.000  0 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1   0.000      1.000 1.000  0 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1   0.000      1.000 1.000  0 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3   0.000      0.986 0.000  0 1.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3   0.000      0.986 0.000  0 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1   0.000      1.000 1.000  0 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1   0.000      1.000 1.000  0 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2   0.000      1.000 0.000  1 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2   0.000      1.000 0.000  1 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1   0.000      1.000 1.000  0 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2   0.000      1.000 0.000  1 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2   0.000      1.000 0.000  1 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1   0.000      1.000 1.000  0 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2   0.000      1.000 0.000  1 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3   0.000      0.986 0.000  0 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2   0.000      1.000 0.000  1 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2   0.000      1.000 0.000  1 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     3   0.000      0.986 0.000  0 1.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3   0.000      0.986 0.000  0 1.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2   0.000      1.000 0.000  1 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2   0.000      1.000 0.000  1 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2   0.000      1.000 0.000  1 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3   0.000      0.986 0.000  0 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2   0.000      1.000 0.000  1 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2   0.000      1.000 0.000  1 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2   0.000      1.000 0.000  1 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2   0.000      1.000 0.000  1 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2   0.000      1.000 0.000  1 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2   0.000      1.000 0.000  1 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3   0.000      0.986 0.000  0 1.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2   0.000      1.000 0.000  1 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2   0.000      1.000 0.000  1 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2   0.000      1.000 0.000  1 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3   0.618      0.297 0.416  0 0.584
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3   0.000      0.986 0.000  0 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2   0.000      1.000 0.000  1 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3   0.000      0.986 0.000  0 1.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3   0.000      0.986 0.000  0 1.000

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0188     0.8709 0.000 0.000 0.996 0.004
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.2704     0.8497 0.876 0.000 0.000 0.124
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000     0.8710 0.000 0.000 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.4933    -0.3692 0.000 0.568 0.000 0.432
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.4907     0.7014 0.000 0.000 0.580 0.420
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.3764     0.7864 0.784 0.000 0.000 0.216
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.4907     0.7014 0.000 0.000 0.580 0.420
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0188     0.8709 0.000 0.000 0.996 0.004
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.4996     0.5844 0.000 0.484 0.000 0.516
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0188     0.8709 0.000 0.000 0.996 0.004
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000     0.8710 0.000 0.000 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.4907     0.7014 0.000 0.000 0.580 0.420
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.4907     0.6178 0.000 0.420 0.000 0.580
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.8710 0.000 0.000 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.4907     0.7014 0.000 0.000 0.580 0.420
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000     0.8710 0.000 0.000 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.4996     0.5844 0.000 0.484 0.000 0.516
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0188     0.8709 0.000 0.000 0.996 0.004
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.4382     0.2402 0.000 0.704 0.000 0.296
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.4925    -0.3535 0.000 0.572 0.000 0.428
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.8710 0.000 0.000 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.4907     0.7014 0.000 0.000 0.580 0.420
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0817     0.8477 0.000 0.976 0.000 0.024
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.4916    -0.3378 0.000 0.576 0.000 0.424
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.8710 0.000 0.000 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.4643     0.0748 0.000 0.656 0.000 0.344
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000     0.8710 0.000 0.000 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.4250     0.3276 0.000 0.724 0.000 0.276
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.4543     0.1245 0.000 0.676 0.000 0.324
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.8710 0.000 0.000 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000     0.8710 0.000 0.000 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.3266     0.8333 0.832 0.000 0.000 0.168
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0921     0.9414 0.972 0.000 0.000 0.028
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.4907     0.6178 0.000 0.420 0.000 0.580
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.8710 0.000 0.000 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.8710 0.000 0.000 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0188     0.8709 0.000 0.000 0.996 0.004
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.5151     0.3615 0.532 0.000 0.004 0.464
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0188     0.8708 0.000 0.000 0.996 0.004
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.4008     0.7558 0.756 0.000 0.000 0.244
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.1637     0.8014 0.000 0.940 0.000 0.060
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.8710 0.000 0.000 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.4925    -0.3535 0.000 0.572 0.000 0.428
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.8710 0.000 0.000 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.3726     0.5058 0.000 0.788 0.000 0.212
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.4679     0.5836 0.648 0.000 0.000 0.352
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.7082     0.3574 0.368 0.000 0.500 0.132
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000     0.8710 0.000 0.000 1.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.1302     0.8442 0.000 0.000 0.956 0.044
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0188     0.8708 0.000 0.000 0.996 0.004
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.4907     0.7014 0.000 0.000 0.580 0.420
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.4907     0.7014 0.000 0.000 0.580 0.420
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0188     0.8709 0.000 0.000 0.996 0.004
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.4888    -0.2903 0.000 0.588 0.000 0.412
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.2408     0.8873 0.896 0.000 0.000 0.104
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.4406     0.2251 0.000 0.700 0.000 0.300
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.3942     0.4393 0.000 0.764 0.000 0.236
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9591 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.4907     0.7014 0.000 0.000 0.580 0.420
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.4996     0.5844 0.000 0.484 0.000 0.516
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.5649     0.6956 0.028 0.000 0.580 0.392
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.4907     0.7014 0.000 0.000 0.580 0.420
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.1637     0.8557 0.000 0.000 0.940 0.060
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.4877    -0.2744 0.000 0.592 0.000 0.408
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.3311     0.8139 0.000 0.000 0.828 0.172
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.3400     0.5805 0.000 0.820 0.000 0.180
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.4454     0.1937 0.000 0.692 0.000 0.308
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     4  0.7817    -0.4200 0.296 0.000 0.288 0.416
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.2011     0.8494 0.000 0.000 0.920 0.080
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000     0.8790 0.000 1.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000     0.8710 0.000 0.000 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.4907     0.7014 0.000 0.000 0.580 0.420

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0771     0.8427 0.000 0.976 0.000 0.020 0.004
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.1364     0.9549 0.000 0.000 0.952 0.036 0.012
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.2674     0.8123 0.856 0.000 0.000 0.140 0.004
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0880     0.9585 0.000 0.000 0.968 0.032 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.5289     0.6968 0.000 0.256 0.048 0.672 0.024
#> 211FD575-40D6-4E44-818F-3A382F4634DA     5  0.2648     0.9344 0.000 0.000 0.152 0.000 0.848
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.5124     0.5963 0.644 0.000 0.000 0.288 0.068
#> 12078907-435A-46C9-96C1-24E71BF4602D     5  0.2648     0.9344 0.000 0.000 0.152 0.000 0.848
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.1251     0.9565 0.000 0.000 0.956 0.036 0.008
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.3181     0.8183 0.000 0.856 0.000 0.072 0.072
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.3242     0.8161 0.000 0.852 0.000 0.076 0.072
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.3301     0.8137 0.000 0.848 0.000 0.080 0.072
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.3301     0.8137 0.000 0.848 0.000 0.080 0.072
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.3242     0.8161 0.000 0.852 0.000 0.076 0.072
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.3301     0.8142 0.000 0.848 0.000 0.080 0.072
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.3143     0.7324 0.000 0.204 0.000 0.796 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0771     0.9338 0.976 0.000 0.004 0.020 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.1124     0.9574 0.000 0.000 0.960 0.036 0.004
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.2853     0.8253 0.000 0.876 0.000 0.052 0.072
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.1124     0.9574 0.000 0.000 0.960 0.036 0.004
#> E6F801F4-9289-4623-B7D9-60CA56C71683     5  0.2648     0.9344 0.000 0.000 0.152 0.000 0.848
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.2782     0.5010 0.000 0.048 0.000 0.880 0.072
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0880     0.9585 0.000 0.000 0.968 0.032 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     5  0.2648     0.9344 0.000 0.000 0.152 0.000 0.848
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0880     0.9585 0.000 0.000 0.968 0.032 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.3897     0.7246 0.000 0.204 0.000 0.768 0.028
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.3242     0.8161 0.000 0.852 0.000 0.076 0.072
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.1251     0.9565 0.000 0.000 0.956 0.036 0.008
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.3684     0.3221 0.000 0.720 0.000 0.280 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.5237     0.6622 0.000 0.300 0.000 0.628 0.072
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0404     0.9625 0.000 0.000 0.988 0.012 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     5  0.2648     0.9344 0.000 0.000 0.152 0.000 0.848
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.4707     0.6477 0.000 0.716 0.000 0.212 0.072
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.4387     0.6436 0.000 0.348 0.000 0.640 0.012
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9630 0.000 0.000 1.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.3301     0.8137 0.000 0.848 0.000 0.080 0.072
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     4  0.5822     0.3489 0.000 0.344 0.000 0.548 0.108
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0162     0.9629 0.000 0.000 0.996 0.004 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.5401    -0.0862 0.000 0.536 0.000 0.404 0.060
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0404     0.8430 0.000 0.988 0.000 0.012 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.2928     0.8247 0.000 0.872 0.000 0.064 0.064
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.4287    -0.2922 0.000 0.540 0.000 0.460 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.3119     0.8197 0.000 0.860 0.000 0.068 0.072
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0162     0.9630 0.000 0.000 0.996 0.000 0.004
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0880     0.9585 0.000 0.000 0.968 0.032 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.5067     0.6007 0.648 0.000 0.000 0.288 0.064
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.1282     0.9174 0.952 0.000 0.000 0.044 0.004
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.3239     0.5281 0.000 0.068 0.000 0.852 0.080
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0404     0.9627 0.000 0.000 0.988 0.012 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0880     0.9585 0.000 0.000 0.968 0.032 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.2569     0.8294 0.000 0.892 0.000 0.040 0.068
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.2645     0.8287 0.000 0.888 0.000 0.044 0.068
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.1124     0.9574 0.000 0.000 0.960 0.036 0.004
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     4  0.4835     0.1705 0.380 0.000 0.000 0.592 0.028
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0162     0.8423 0.000 0.996 0.000 0.004 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.1168     0.9583 0.000 0.000 0.960 0.032 0.008
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.5162     0.5723 0.628 0.000 0.000 0.308 0.064
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.4159     0.7333 0.000 0.776 0.000 0.156 0.068
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0880     0.8401 0.000 0.968 0.000 0.032 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.2873     0.8089 0.000 0.856 0.000 0.128 0.016
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9630 0.000 0.000 1.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.3301     0.8137 0.000 0.848 0.000 0.080 0.072
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.3055     0.8213 0.000 0.864 0.000 0.064 0.072
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.4356     0.6663 0.000 0.340 0.000 0.648 0.012
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0963     0.9575 0.000 0.000 0.964 0.036 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.3636     0.3812 0.000 0.728 0.000 0.272 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     5  0.3983     0.4637 0.340 0.000 0.000 0.000 0.660
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.3301     0.8137 0.000 0.848 0.000 0.080 0.072
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.4844     0.6485 0.752 0.000 0.152 0.024 0.072
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.2922     0.8241 0.000 0.872 0.000 0.056 0.072
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0963     0.9575 0.000 0.000 0.964 0.036 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0162     0.8427 0.000 0.996 0.000 0.004 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.3301     0.8137 0.000 0.848 0.000 0.080 0.072
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.2438     0.9247 0.000 0.000 0.900 0.060 0.040
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.3301     0.8137 0.000 0.848 0.000 0.080 0.072
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.1168     0.9583 0.000 0.000 0.960 0.032 0.008
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     5  0.2852     0.9187 0.000 0.000 0.172 0.000 0.828
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     5  0.2648     0.9344 0.000 0.000 0.152 0.000 0.848
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.1124     0.9574 0.000 0.000 0.960 0.036 0.004
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.3180     0.8183 0.000 0.856 0.000 0.076 0.068
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.5395     0.5687 0.000 0.356 0.000 0.576 0.068
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.4100     0.7405 0.764 0.000 0.000 0.192 0.044
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.3999     0.0946 0.000 0.656 0.000 0.344 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.5518     0.0971 0.000 0.544 0.000 0.384 0.072
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9526 1.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     5  0.2648     0.9344 0.000 0.000 0.152 0.000 0.848
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.3242     0.8161 0.000 0.852 0.000 0.076 0.072
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.3897     0.7246 0.000 0.204 0.000 0.768 0.028
#> 864194B9-3525-439D-84A4-EA257300335C     5  0.4457     0.8495 0.092 0.000 0.152 0.000 0.756
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     5  0.2648     0.9344 0.000 0.000 0.152 0.000 0.848
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.3242     0.8161 0.000 0.852 0.000 0.076 0.072
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.2712     0.8817 0.000 0.000 0.880 0.032 0.088
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0162     0.8427 0.000 0.996 0.000 0.004 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.3242     0.8161 0.000 0.852 0.000 0.076 0.072
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.4182     0.6425 0.000 0.352 0.000 0.644 0.004
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0609     0.8428 0.000 0.980 0.000 0.000 0.020
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.1282     0.9460 0.000 0.000 0.952 0.004 0.044
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.6030     0.1943 0.000 0.544 0.000 0.316 0.140
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.5604    -0.2344 0.000 0.472 0.000 0.456 0.072
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     5  0.3297     0.8412 0.084 0.000 0.068 0.000 0.848
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.2491     0.9043 0.000 0.000 0.896 0.036 0.068
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000     0.8425 0.000 1.000 0.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0880     0.9585 0.000 0.000 0.968 0.032 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     5  0.2648     0.9344 0.000 0.000 0.152 0.000 0.848

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0993     0.9234 0.964 0.000 0.000 0.024 0.012 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.2300     0.5771 0.000 0.856 0.000 0.144 0.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.5144     0.8012 0.000 0.000 0.656 0.140 0.192 0.012
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0146     0.9355 0.996 0.000 0.000 0.000 0.004 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.2837     0.7932 0.856 0.000 0.000 0.056 0.088 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0260     0.8511 0.000 0.000 0.992 0.008 0.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.4933     0.4219 0.000 0.020 0.156 0.712 0.104 0.008
#> 211FD575-40D6-4E44-818F-3A382F4634DA     6  0.0363     0.9153 0.000 0.000 0.012 0.000 0.000 0.988
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     5  0.4123     0.3962 0.420 0.000 0.000 0.012 0.568 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     6  0.0363     0.9153 0.000 0.000 0.012 0.000 0.000 0.988
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.5051     0.8034 0.000 0.000 0.660 0.140 0.192 0.008
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.3867     0.1365 0.000 0.512 0.000 0.488 0.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0260     0.9342 0.992 0.000 0.000 0.000 0.008 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.3868     0.1244 0.000 0.508 0.000 0.492 0.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0260     0.9342 0.992 0.000 0.000 0.000 0.008 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0993     0.9234 0.964 0.000 0.000 0.024 0.012 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.3868     0.1244 0.000 0.508 0.000 0.492 0.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.3868     0.1248 0.000 0.508 0.000 0.492 0.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.3867     0.1365 0.000 0.512 0.000 0.488 0.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     4  0.3868    -0.1569 0.000 0.496 0.000 0.504 0.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.4721     0.5898 0.000 0.116 0.000 0.672 0.212 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.2239     0.8442 0.900 0.000 0.008 0.072 0.020 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.4945     0.8054 0.000 0.000 0.664 0.140 0.192 0.004
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.3797     0.2615 0.000 0.580 0.000 0.420 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0146     0.9352 0.996 0.000 0.000 0.000 0.004 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.5140     0.7913 0.000 0.000 0.640 0.164 0.192 0.004
#> E6F801F4-9289-4623-B7D9-60CA56C71683     6  0.0363     0.9153 0.000 0.000 0.012 0.000 0.000 0.988
#> B644962A-DEFE-4169-A39E-EF2141F5125A     5  0.3725     0.2839 0.000 0.000 0.000 0.316 0.676 0.008
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0260     0.8511 0.000 0.000 0.992 0.008 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     6  0.0363     0.9153 0.000 0.000 0.012 0.000 0.000 0.988
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0146     0.9355 0.996 0.000 0.000 0.000 0.004 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0260     0.8511 0.000 0.000 0.992 0.008 0.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.5531     0.4536 0.000 0.116 0.000 0.560 0.312 0.012
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.3867     0.1365 0.000 0.512 0.000 0.488 0.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9358 1.000 0.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.4945     0.8054 0.000 0.000 0.664 0.140 0.192 0.004
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.2664     0.4272 0.000 0.816 0.000 0.184 0.000 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0993     0.9234 0.964 0.000 0.000 0.024 0.012 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.2668     0.6605 0.000 0.168 0.000 0.828 0.004 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0260     0.8511 0.000 0.000 0.992 0.008 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     6  0.0363     0.9153 0.000 0.000 0.012 0.000 0.000 0.988
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9358 1.000 0.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     4  0.5801     0.3802 0.000 0.224 0.000 0.496 0.280 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.5134     0.6498 0.000 0.172 0.000 0.660 0.156 0.012
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.1151     0.8571 0.000 0.000 0.956 0.012 0.032 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9358 1.000 0.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.3868     0.1104 0.000 0.504 0.000 0.496 0.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     5  0.5029     0.0282 0.000 0.072 0.000 0.444 0.484 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0865     0.8565 0.000 0.000 0.964 0.036 0.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     5  0.5244     0.2664 0.000 0.336 0.000 0.112 0.552 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0363     0.9337 0.988 0.000 0.000 0.000 0.012 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0146     0.6627 0.000 0.996 0.000 0.004 0.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0547     0.9273 0.980 0.000 0.000 0.000 0.020 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.3804     0.2528 0.000 0.576 0.000 0.424 0.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0363     0.9337 0.988 0.000 0.000 0.000 0.012 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.5818    -0.1897 0.000 0.488 0.000 0.364 0.136 0.012
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.3862     0.1630 0.000 0.524 0.000 0.476 0.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.1320     0.8565 0.000 0.000 0.948 0.016 0.036 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0260     0.8511 0.000 0.000 0.992 0.008 0.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0260     0.9342 0.992 0.000 0.000 0.000 0.008 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     5  0.4229     0.3705 0.436 0.000 0.000 0.016 0.548 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.1910     0.8241 0.892 0.000 0.000 0.000 0.108 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     5  0.3183     0.3878 0.004 0.008 0.000 0.200 0.788 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0713     0.8563 0.000 0.000 0.972 0.028 0.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0260     0.8511 0.000 0.000 0.992 0.008 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.3592     0.3686 0.000 0.656 0.000 0.344 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.3515     0.3940 0.000 0.676 0.000 0.324 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0993     0.9234 0.964 0.000 0.000 0.024 0.012 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.4945     0.8054 0.000 0.000 0.664 0.140 0.192 0.004
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.6394    -0.2519 0.356 0.000 0.000 0.348 0.284 0.012
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0632     0.6526 0.000 0.976 0.000 0.024 0.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0508     0.8503 0.000 0.000 0.984 0.012 0.000 0.004
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0993     0.9234 0.964 0.000 0.000 0.024 0.012 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     5  0.4597     0.4114 0.412 0.000 0.000 0.040 0.548 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.3807     0.2945 0.000 0.368 0.000 0.628 0.004 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.2738     0.5416 0.000 0.820 0.000 0.176 0.000 0.004
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0909     0.9255 0.968 0.000 0.000 0.020 0.012 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.5491     0.0698 0.000 0.528 0.000 0.356 0.108 0.008
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.1176     0.8576 0.000 0.000 0.956 0.020 0.024 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.3868     0.1248 0.000 0.508 0.000 0.492 0.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.3857     0.1787 0.000 0.532 0.000 0.468 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.5315     0.6323 0.000 0.172 0.000 0.636 0.180 0.012
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9358 1.000 0.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9358 1.000 0.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.4662     0.8129 0.000 0.000 0.688 0.140 0.172 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0547     0.9273 0.980 0.000 0.000 0.000 0.020 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.4009     0.2312 0.000 0.684 0.000 0.288 0.028 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     6  0.3245     0.6165 0.228 0.000 0.000 0.000 0.008 0.764
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     4  0.3868    -0.1560 0.000 0.496 0.000 0.504 0.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.5960     0.3266 0.596 0.000 0.028 0.164 0.204 0.008
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0260     0.9342 0.992 0.000 0.000 0.000 0.008 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0146     0.6627 0.000 0.996 0.000 0.004 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0363     0.9337 0.988 0.000 0.000 0.000 0.012 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.3828     0.2293 0.000 0.560 0.000 0.440 0.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0260     0.9342 0.992 0.000 0.000 0.000 0.008 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.4809     0.8062 0.000 0.000 0.668 0.140 0.192 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0260     0.6609 0.000 0.992 0.000 0.008 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0146     0.6627 0.000 0.996 0.000 0.004 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0363     0.9337 0.988 0.000 0.000 0.000 0.012 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.3868     0.1248 0.000 0.508 0.000 0.492 0.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.4464     0.8159 0.000 0.000 0.712 0.140 0.148 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0260     0.9348 0.992 0.000 0.000 0.000 0.008 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.3868     0.1248 0.000 0.508 0.000 0.492 0.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0405     0.8511 0.000 0.000 0.988 0.008 0.000 0.004
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     6  0.3261     0.7798 0.000 0.000 0.012 0.024 0.144 0.820
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9358 1.000 0.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0260     0.9342 0.992 0.000 0.000 0.000 0.008 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     6  0.0363     0.9153 0.000 0.000 0.012 0.000 0.000 0.988
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.4945     0.8054 0.000 0.000 0.664 0.140 0.192 0.004
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0993     0.9234 0.964 0.000 0.000 0.024 0.012 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0547     0.9273 0.980 0.000 0.000 0.000 0.020 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.3860     0.1668 0.000 0.528 0.000 0.472 0.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.2703     0.6604 0.000 0.172 0.000 0.824 0.004 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     5  0.3864     0.2586 0.480 0.000 0.000 0.000 0.520 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.4093     0.1913 0.000 0.680 0.000 0.292 0.024 0.004
#> 16A70057-AF47-4934-992E-3E9CF6E74684     4  0.2883     0.6156 0.000 0.212 0.000 0.788 0.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0260     0.9342 0.992 0.000 0.000 0.000 0.008 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     6  0.0508     0.9138 0.000 0.000 0.012 0.000 0.004 0.984
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.3867     0.1365 0.000 0.512 0.000 0.488 0.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.5553     0.4623 0.000 0.120 0.000 0.560 0.308 0.012
#> 864194B9-3525-439D-84A4-EA257300335C     6  0.5616     0.5050 0.236 0.000 0.116 0.016 0.012 0.620
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     6  0.0363     0.9153 0.000 0.000 0.012 0.000 0.000 0.988
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.3868     0.1248 0.000 0.508 0.000 0.492 0.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0972     0.8381 0.000 0.000 0.964 0.008 0.000 0.028
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0260     0.6615 0.000 0.992 0.000 0.008 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.3867     0.1365 0.000 0.512 0.000 0.488 0.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.5164     0.6517 0.000 0.176 0.000 0.656 0.156 0.012
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0790     0.6507 0.000 0.968 0.000 0.032 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.4135     0.7672 0.000 0.000 0.760 0.012 0.072 0.156
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     5  0.5369     0.0959 0.000 0.128 0.000 0.332 0.540 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     4  0.2805     0.6513 0.000 0.184 0.000 0.812 0.004 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     6  0.1680     0.8807 0.020 0.000 0.004 0.024 0.012 0.940
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.5386     0.7928 0.000 0.000 0.644 0.140 0.192 0.024
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000     0.6635 0.000 1.000 0.000 0.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0260     0.8511 0.000 0.000 0.992 0.008 0.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     6  0.0622     0.9117 0.000 0.000 0.012 0.000 0.008 0.980

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-CV-NMF-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-CV-NMF-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-CV-NMF-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-CV-NMF-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-CV-NMF-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-CV-NMF-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-CV-NMF-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-CV-NMF-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-CV-NMF-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-CV-NMF-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-CV-NMF-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-CV-NMF-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-CV-NMF-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-CV-NMF-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-CV-NMF-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-CV-NMF-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-CV-NMF-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-CV-NMF-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-CV-NMF-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-CV-NMF-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk CV-NMF-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-CV-NMF-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-CV-NMF-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-CV-NMF-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-CV-NMF-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-CV-NMF-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk CV-NMF-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


MAD:hclust

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["MAD", "hclust"]
# you can also extract it by
# res = res_list["MAD:hclust"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#>   Subgroups are detected by 'hclust' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 2.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk MAD-hclust-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk MAD-hclust-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 0.787           0.882       0.938         0.4915 0.499   0.499
#> 3 3 0.621           0.650       0.750         0.2881 0.899   0.798
#> 4 4 0.693           0.657       0.849         0.1586 0.791   0.512
#> 5 5 0.728           0.663       0.809         0.0567 0.937   0.763
#> 6 6 0.751           0.687       0.814         0.0196 0.976   0.893

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 2

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette    p1    p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.2778     0.9479 0.952 0.048
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0672     0.9264 0.008 0.992
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1  0.1633     0.9501 0.976 0.024
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.2778     0.9479 0.952 0.048
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     2  0.9988     0.0861 0.480 0.520
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.1414     0.9264 0.020 0.980
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1  0.1633     0.9501 0.976 0.024
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.4815     0.8673 0.104 0.896
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1  0.1633     0.9501 0.976 0.024
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     2  0.9996     0.0782 0.488 0.512
#> 12078907-435A-46C9-96C1-24E71BF4602D     1  0.1633     0.9510 0.976 0.024
#> 8670C657-F6AB-4767-9278-42E64C614370     1  0.1633     0.9501 0.976 0.024
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0672     0.9264 0.008 0.992
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.2778     0.9479 0.952 0.048
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0672     0.9250 0.008 0.992
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.9775     0.2911 0.588 0.412
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.2948     0.9455 0.948 0.052
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0672     0.9250 0.008 0.992
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0672     0.9264 0.008 0.992
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.1633     0.9219 0.024 0.976
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0672     0.9250 0.008 0.992
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.1414     0.9233 0.020 0.980
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0672     0.9250 0.008 0.992
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.4161     0.8838 0.084 0.916
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.1414     0.9233 0.020 0.980
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.2423     0.9510 0.960 0.040
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1  0.1633     0.9501 0.976 0.024
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.1633     0.9219 0.024 0.976
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.2778     0.9479 0.952 0.048
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.1414     0.9255 0.020 0.980
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1  0.1633     0.9501 0.976 0.024
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1  0.1633     0.9510 0.976 0.024
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.4815     0.8673 0.104 0.896
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1  0.1633     0.9501 0.976 0.024
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1  0.1633     0.9510 0.976 0.024
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.2778     0.9479 0.952 0.048
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1  0.1633     0.9501 0.976 0.024
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.1414     0.9233 0.020 0.980
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.4815     0.8673 0.104 0.896
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0376     0.9259 0.004 0.996
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.2778     0.9479 0.952 0.048
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1  0.1633     0.9501 0.976 0.024
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.5408     0.8464 0.124 0.876
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.2948     0.9455 0.948 0.052
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.4815     0.8673 0.104 0.896
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1  0.1633     0.9501 0.976 0.024
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1  0.1633     0.9501 0.976 0.024
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.2778     0.9479 0.952 0.048
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0672     0.9250 0.008 0.992
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.4815     0.8673 0.104 0.896
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1  0.1633     0.9501 0.976 0.024
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.1414     0.9264 0.020 0.980
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.1633     0.9219 0.024 0.976
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.5059     0.8941 0.888 0.112
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0672     0.9250 0.008 0.992
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0672     0.9250 0.008 0.992
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1  0.5059     0.8953 0.888 0.112
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.1184     0.9261 0.016 0.984
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.5178     0.8433 0.116 0.884
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.1633     0.9219 0.024 0.976
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.2778     0.9479 0.952 0.048
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0938     0.9265 0.012 0.988
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.2778     0.9479 0.952 0.048
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0938     0.9265 0.012 0.988
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.2778     0.9479 0.952 0.048
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.1633     0.9209 0.024 0.976
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.1633     0.9209 0.024 0.976
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.1184     0.9243 0.016 0.984
#> 7559E197-0527-40D8-A982-C37B35A9A902     1  0.1633     0.9501 0.976 0.024
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1  0.1633     0.9501 0.976 0.024
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.2778     0.9479 0.952 0.048
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     2  0.9996     0.0782 0.488 0.512
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.2778     0.9479 0.952 0.048
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.2236     0.9157 0.036 0.964
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1  0.1633     0.9501 0.976 0.024
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1  0.1633     0.9501 0.976 0.024
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.1633     0.9219 0.024 0.976
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.1633     0.9219 0.024 0.976
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.2778     0.9479 0.952 0.048
#> E61A5740-7C26-4730-9610-A3C710098B92     1  0.1633     0.9501 0.976 0.024
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.1414     0.9233 0.020 0.980
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     2  0.9988     0.0861 0.480 0.520
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0938     0.9265 0.012 0.988
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1  0.1633     0.9501 0.976 0.024
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.2948     0.9455 0.948 0.052
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     2  0.9996     0.0782 0.488 0.512
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.4815     0.8673 0.104 0.896
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.1184     0.9243 0.016 0.984
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.1633     0.9209 0.024 0.976
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.2778     0.9479 0.952 0.048
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.1633     0.9209 0.024 0.976
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1  0.1633     0.9501 0.976 0.024
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0376     0.9259 0.004 0.996
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.1633     0.9219 0.024 0.976
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.4815     0.8673 0.104 0.896
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.2778     0.9479 0.952 0.048
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.5059     0.8941 0.888 0.112
#> 10161FA0-E389-4D98-B854-098AF908C898     1  0.1633     0.9501 0.976 0.024
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0938     0.9265 0.012 0.988
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     2  0.9996     0.0782 0.488 0.512
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.3274     0.9011 0.060 0.940
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.2948     0.9455 0.948 0.052
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0672     0.9250 0.008 0.992
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.2423     0.9510 0.960 0.040
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.2778     0.9479 0.952 0.048
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.1843     0.9223 0.028 0.972
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.2778     0.9479 0.952 0.048
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0376     0.9259 0.004 0.996
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.2778     0.9479 0.952 0.048
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1  0.5629     0.8737 0.868 0.132
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.1414     0.9264 0.020 0.980
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.1414     0.9233 0.020 0.980
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.2778     0.9479 0.952 0.048
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0672     0.9264 0.008 0.992
#> 86689648-2C4A-456F-A551-B9731400846C     1  0.1633     0.9501 0.976 0.024
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.2778     0.9479 0.952 0.048
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0672     0.9250 0.008 0.992
#> BFB33809-F185-4835-8329-AE53FDEE847C     1  0.1633     0.9501 0.976 0.024
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1  0.1633     0.9501 0.976 0.024
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.2778     0.9479 0.952 0.048
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.9661     0.3536 0.608 0.392
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.1633     0.9510 0.976 0.024
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1  0.1633     0.9501 0.976 0.024
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.2778     0.9479 0.952 0.048
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.5059     0.8941 0.888 0.112
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0672     0.9264 0.008 0.992
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.4161     0.8838 0.084 0.916
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.7528     0.7609 0.784 0.216
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.2423     0.9137 0.040 0.960
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0672     0.9250 0.008 0.992
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.2778     0.9479 0.952 0.048
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0376     0.9256 0.004 0.996
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1  0.1633     0.9501 0.976 0.024
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.1633     0.9219 0.024 0.976
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.4815     0.8673 0.104 0.896
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.2423     0.9510 0.960 0.040
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1  0.1633     0.9510 0.976 0.024
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0938     0.9265 0.012 0.988
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0672     0.9250 0.008 0.992
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.1633     0.9219 0.024 0.976
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1  0.1633     0.9501 0.976 0.024
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.1414     0.9233 0.020 0.980
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.1184     0.9245 0.016 0.984
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000     0.9253 0.000 1.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.3274     0.9011 0.060 0.940
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.1633     0.9219 0.024 0.976
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.1633     0.9219 0.024 0.976
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1  0.1633     0.9501 0.976 0.024
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0376     0.9245 0.004 0.996
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0938     0.9265 0.012 0.988
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.4161     0.8838 0.084 0.916
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     2  0.9988     0.0861 0.480 0.520
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1  0.1633     0.9501 0.976 0.024
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.1633     0.9219 0.024 0.976
#> 6ED5E961-E559-4459-937E-D0F03650620F     1  0.1633     0.9501 0.976 0.024
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1  0.1633     0.9501 0.976 0.024

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1    p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     3  0.0424      0.718 0.000 0.008 0.992
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.5115      0.676 0.228 0.768 0.004
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.6252      0.752 0.444 0.000 0.556
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     3  0.0424      0.718 0.000 0.008 0.992
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.7084      0.527 0.652 0.044 0.304
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.4174      0.734 0.092 0.872 0.036
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.6252      0.752 0.444 0.000 0.556
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     1  0.7102      0.488 0.556 0.420 0.024
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.6252      0.752 0.444 0.000 0.556
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.7591      0.524 0.544 0.044 0.412
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.5988      0.753 0.368 0.000 0.632
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.6252      0.752 0.444 0.000 0.556
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.3918      0.725 0.140 0.856 0.004
#> B23B6B92-29DA-4349-9FBC-32399C44C058     3  0.0424      0.718 0.000 0.008 0.992
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.5465      0.600 0.288 0.712 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     3  0.7299     -0.245 0.412 0.032 0.556
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     3  0.0661      0.715 0.004 0.008 0.988
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.5465      0.600 0.288 0.712 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.3918      0.725 0.140 0.856 0.004
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.1964      0.704 0.000 0.944 0.056
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.5254      0.634 0.264 0.736 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.1643      0.713 0.000 0.956 0.044
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.5465      0.600 0.288 0.712 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     1  0.7178      0.351 0.512 0.464 0.024
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.2063      0.717 0.008 0.948 0.044
#> 00B1B6C5-C4C1-4248-8879-F30727137391     3  0.2711      0.731 0.088 0.000 0.912
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.6252      0.752 0.444 0.000 0.556
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.1964      0.704 0.000 0.944 0.056
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     3  0.0424      0.718 0.000 0.008 0.992
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.5159      0.725 0.140 0.820 0.040
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.6252      0.752 0.444 0.000 0.556
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.5988      0.753 0.368 0.000 0.632
#> B644962A-DEFE-4169-A39E-EF2141F5125A     1  0.7102      0.488 0.556 0.420 0.024
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.6252      0.752 0.444 0.000 0.556
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.5988      0.753 0.368 0.000 0.632
#> 04156B26-81B5-4E17-A14A-819800ABFE36     3  0.0424      0.718 0.000 0.008 0.992
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.6252      0.752 0.444 0.000 0.556
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.1643      0.713 0.000 0.956 0.044
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     1  0.7102      0.488 0.556 0.420 0.024
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.5058      0.657 0.244 0.756 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     3  0.0424      0.718 0.000 0.008 0.992
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.6252      0.752 0.444 0.000 0.556
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     1  0.7558      0.495 0.556 0.400 0.044
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     3  0.0661      0.715 0.004 0.008 0.988
#> C3087790-7575-4662-A7DC-B32808B9A775     1  0.7102      0.488 0.556 0.420 0.024
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.6252      0.752 0.444 0.000 0.556
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.6252      0.752 0.444 0.000 0.556
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     3  0.0424      0.718 0.000 0.008 0.992
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.5244      0.659 0.240 0.756 0.004
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     1  0.7102      0.488 0.556 0.420 0.024
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.6252      0.752 0.444 0.000 0.556
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.4174      0.734 0.092 0.872 0.036
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.1964      0.704 0.000 0.944 0.056
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     3  0.2651      0.655 0.060 0.012 0.928
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.5465      0.600 0.288 0.712 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.5397      0.612 0.280 0.720 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.7248      0.681 0.436 0.028 0.536
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.5455      0.713 0.184 0.788 0.028
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.7400      0.485 0.264 0.664 0.072
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.1964      0.704 0.000 0.944 0.056
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     3  0.0424      0.718 0.000 0.008 0.992
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.4964      0.703 0.116 0.836 0.048
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     3  0.0424      0.718 0.000 0.008 0.992
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.4964      0.700 0.116 0.836 0.048
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     3  0.0424      0.718 0.000 0.008 0.992
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.5882      0.473 0.348 0.652 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.5882      0.473 0.348 0.652 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.3572      0.731 0.060 0.900 0.040
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.6252      0.752 0.444 0.000 0.556
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.6252      0.752 0.444 0.000 0.556
#> 44C04683-DE81-45AB-9695-4BA64CE73155     3  0.0424      0.718 0.000 0.008 0.992
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.7591      0.524 0.544 0.044 0.412
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     3  0.0424      0.718 0.000 0.008 0.992
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.6081      0.473 0.344 0.652 0.004
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.6252      0.752 0.444 0.000 0.556
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.6252      0.752 0.444 0.000 0.556
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.2550      0.712 0.012 0.932 0.056
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.1964      0.704 0.000 0.944 0.056
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     3  0.0424      0.718 0.000 0.008 0.992
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.6252      0.752 0.444 0.000 0.556
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.1878      0.715 0.004 0.952 0.044
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.7084      0.527 0.652 0.044 0.304
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.5536      0.705 0.200 0.776 0.024
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.6252      0.752 0.444 0.000 0.556
#> 5D916BB7-6B38-414E-875E-2497C91B209A     3  0.0661      0.715 0.004 0.008 0.988
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.7591      0.524 0.544 0.044 0.412
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     1  0.7102      0.488 0.556 0.420 0.024
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.2434      0.725 0.024 0.940 0.036
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.5882      0.473 0.348 0.652 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     3  0.0661      0.719 0.004 0.008 0.988
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.5882      0.473 0.348 0.652 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.6252      0.752 0.444 0.000 0.556
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.5216      0.639 0.260 0.740 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.1964      0.704 0.000 0.944 0.056
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     1  0.7102      0.488 0.556 0.420 0.024
#> CF882451-7864-4A14-8893-D9F3D1B79379     3  0.0424      0.718 0.000 0.008 0.992
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     3  0.2651      0.655 0.060 0.012 0.928
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.6252      0.752 0.444 0.000 0.556
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.5486      0.707 0.196 0.780 0.024
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.7591      0.524 0.544 0.044 0.412
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.6669     -0.104 0.468 0.524 0.008
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     3  0.0661      0.715 0.004 0.008 0.988
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.5397      0.610 0.280 0.720 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.2711      0.731 0.088 0.000 0.912
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     3  0.0424      0.718 0.000 0.008 0.992
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.3764      0.691 0.040 0.892 0.068
#> C06A7A87-28A2-4851-A743-583F729D07D3     3  0.0424      0.718 0.000 0.008 0.992
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.5058      0.657 0.244 0.756 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     3  0.0424      0.718 0.000 0.008 0.992
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.7860      0.664 0.416 0.056 0.528
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.4335      0.734 0.100 0.864 0.036
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.2063      0.717 0.008 0.948 0.044
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     3  0.0424      0.718 0.000 0.008 0.992
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.3918      0.725 0.140 0.856 0.004
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.6252      0.752 0.444 0.000 0.556
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     3  0.0424      0.718 0.000 0.008 0.992
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.5244      0.659 0.240 0.756 0.004
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.6252      0.752 0.444 0.000 0.556
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.6252      0.752 0.444 0.000 0.556
#> 852F1EDF-6046-462C-820F-9782410E1845     3  0.0424      0.718 0.000 0.008 0.992
#> EF68CF6E-F46D-477A-B125-153DDE949C07     3  0.7325     -0.175 0.388 0.036 0.576
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.5988      0.753 0.368 0.000 0.632
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.6252      0.752 0.444 0.000 0.556
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     3  0.0424      0.718 0.000 0.008 0.992
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     3  0.2651      0.655 0.060 0.012 0.928
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.5461      0.666 0.244 0.748 0.008
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     1  0.7178      0.351 0.512 0.464 0.024
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     3  0.5524      0.458 0.164 0.040 0.796
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.6404      0.450 0.344 0.644 0.012
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.5650      0.559 0.312 0.688 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     3  0.0424      0.718 0.000 0.008 0.992
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.4413      0.724 0.160 0.832 0.008
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.6252      0.752 0.444 0.000 0.556
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.3112      0.718 0.028 0.916 0.056
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     1  0.7102      0.488 0.556 0.420 0.024
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.2711      0.731 0.088 0.000 0.912
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.5988      0.753 0.368 0.000 0.632
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.4964      0.700 0.116 0.836 0.048
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.5291      0.630 0.268 0.732 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.2301      0.702 0.004 0.936 0.060
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.6252      0.752 0.444 0.000 0.556
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.2063      0.717 0.008 0.948 0.044
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.2689      0.728 0.032 0.932 0.036
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.3784      0.727 0.132 0.864 0.004
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.6669     -0.104 0.468 0.524 0.008
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.1964      0.704 0.000 0.944 0.056
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.1964      0.704 0.000 0.944 0.056
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.6252      0.752 0.444 0.000 0.556
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.5012      0.692 0.204 0.788 0.008
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.4964      0.700 0.116 0.836 0.048
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     1  0.7178      0.351 0.512 0.464 0.024
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.7084      0.527 0.652 0.044 0.304
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.6252      0.752 0.444 0.000 0.556
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.1964      0.704 0.000 0.944 0.056
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.6252      0.752 0.444 0.000 0.556
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.6252      0.752 0.444 0.000 0.556

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.4985   0.210163 0.000 0.532 0.000 0.468
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     4  0.6450   0.330468 0.276 0.000 0.108 0.616
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.4008   0.656941 0.000 0.756 0.000 0.244
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.0336   0.603889 0.000 0.008 0.000 0.992
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     4  0.4817   0.230482 0.388 0.000 0.000 0.612
#> 12078907-435A-46C9-96C1-24E71BF4602D     1  0.4967   0.247770 0.548 0.000 0.452 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.4643   0.508328 0.000 0.656 0.000 0.344
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     4  0.4855   0.237695 0.000 0.400 0.000 0.600
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.4967   0.202605 0.548 0.000 0.000 0.452
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0188   0.881436 0.996 0.000 0.000 0.004
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     4  0.4855   0.237695 0.000 0.400 0.000 0.600
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.4643   0.508328 0.000 0.656 0.000 0.344
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000   0.713480 0.000 1.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     4  0.4999  -0.086297 0.000 0.492 0.000 0.508
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0707   0.721109 0.000 0.980 0.000 0.020
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     4  0.4855   0.237695 0.000 0.400 0.000 0.600
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.1474   0.599540 0.000 0.052 0.000 0.948
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.1118   0.723915 0.000 0.964 0.000 0.036
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.3610   0.729769 0.800 0.000 0.200 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000   0.713480 0.000 1.000 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.4164   0.625842 0.000 0.736 0.000 0.264
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1  0.4967   0.247770 0.548 0.000 0.452 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.0336   0.603889 0.000 0.008 0.000 0.992
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1  0.4967   0.247770 0.548 0.000 0.452 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0707   0.721109 0.000 0.980 0.000 0.020
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0336   0.603889 0.000 0.008 0.000 0.992
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.4996   0.148115 0.000 0.516 0.000 0.484
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.0469   0.595080 0.012 0.000 0.000 0.988
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0188   0.881436 0.996 0.000 0.000 0.004
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.0336   0.603889 0.000 0.008 0.000 0.992
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.5000   0.140440 0.000 0.504 0.000 0.496
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.0336   0.603889 0.000 0.008 0.000 0.992
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.4008   0.656941 0.000 0.756 0.000 0.244
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0336   0.716572 0.000 0.992 0.000 0.008
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.1792   0.835944 0.932 0.000 0.000 0.068
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     4  0.4855   0.237695 0.000 0.400 0.000 0.600
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     4  0.4877   0.213293 0.000 0.408 0.000 0.592
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.4130   0.804297 0.064 0.000 0.828 0.108
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.4746   0.498040 0.000 0.632 0.000 0.368
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.7399  -0.000862 0.056 0.428 0.048 0.468
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000   0.713480 0.000 1.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.4624   0.513723 0.000 0.660 0.000 0.340
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.4585   0.518888 0.000 0.668 0.000 0.332
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     4  0.4477   0.415428 0.000 0.312 0.000 0.688
#> 1339CB34-B996-470A-9710-0649DD05D18A     4  0.4477   0.415428 0.000 0.312 0.000 0.688
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.3356   0.681713 0.000 0.824 0.000 0.176
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     4  0.4817   0.230482 0.388 0.000 0.000 0.612
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.4331   0.425317 0.000 0.288 0.000 0.712
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0817   0.722023 0.000 0.976 0.000 0.024
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000   0.713480 0.000 1.000 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.1118   0.723756 0.000 0.964 0.000 0.036
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     4  0.6450   0.330468 0.276 0.000 0.108 0.616
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.4679   0.499142 0.000 0.648 0.000 0.352
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0188   0.881436 0.996 0.000 0.000 0.004
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     4  0.4817   0.230482 0.388 0.000 0.000 0.612
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.0336   0.603889 0.000 0.008 0.000 0.992
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.2011   0.720162 0.000 0.920 0.000 0.080
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     4  0.4477   0.415428 0.000 0.312 0.000 0.688
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0188   0.881164 0.996 0.000 0.004 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     4  0.4477   0.415428 0.000 0.312 0.000 0.688
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     4  0.4941   0.123297 0.000 0.436 0.000 0.564
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000   0.713480 0.000 1.000 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.0336   0.603889 0.000 0.008 0.000 0.992
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.1792   0.835944 0.932 0.000 0.000 0.068
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.4643   0.511921 0.000 0.656 0.000 0.344
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     4  0.4817   0.230482 0.388 0.000 0.000 0.612
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     4  0.2868   0.568657 0.000 0.136 0.000 0.864
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0188   0.881436 0.996 0.000 0.000 0.004
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     4  0.4948   0.114733 0.000 0.440 0.000 0.560
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.3610   0.729769 0.800 0.000 0.200 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.2589   0.670145 0.000 0.884 0.000 0.116
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.4996   0.148115 0.000 0.516 0.000 0.484
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.4490   0.794256 0.056 0.012 0.820 0.112
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.4103   0.647932 0.000 0.744 0.000 0.256
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0921   0.722862 0.000 0.972 0.000 0.028
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.4643   0.508328 0.000 0.656 0.000 0.344
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.5000   0.140440 0.000 0.504 0.000 0.496
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.4925   0.269069 0.572 0.000 0.000 0.428
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.4967   0.247770 0.548 0.000 0.452 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.1792   0.835944 0.932 0.000 0.000 0.068
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.4977   0.231682 0.000 0.540 0.000 0.460
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.1474   0.599540 0.000 0.052 0.000 0.948
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.3649   0.676090 0.796 0.000 0.000 0.204
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.4382   0.414557 0.000 0.296 0.000 0.704
#> 16A70057-AF47-4934-992E-3E9CF6E74684     4  0.4543   0.380688 0.000 0.324 0.000 0.676
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000   0.883112 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.4679   0.512631 0.000 0.648 0.000 0.352
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.1792   0.719693 0.000 0.932 0.000 0.068
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0336   0.603889 0.000 0.008 0.000 0.992
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.3610   0.729769 0.800 0.000 0.200 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1  0.4967   0.247770 0.548 0.000 0.452 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.4643   0.506592 0.000 0.656 0.000 0.344
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     4  0.4961   0.082323 0.000 0.448 0.000 0.552
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.1022   0.716173 0.000 0.968 0.000 0.032
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0817   0.722170 0.000 0.976 0.000 0.024
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.2408   0.714940 0.000 0.896 0.000 0.104
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.4605   0.522836 0.000 0.664 0.000 0.336
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.2868   0.568657 0.000 0.136 0.000 0.864
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000   0.713480 0.000 1.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000   0.713480 0.000 1.000 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.4967   0.285518 0.000 0.548 0.000 0.452
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.4643   0.506592 0.000 0.656 0.000 0.344
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     4  0.1474   0.599540 0.000 0.052 0.000 0.948
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     4  0.6450   0.330468 0.276 0.000 0.108 0.616
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000   0.713480 0.000 1.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000   0.988246 0.000 0.000 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000   0.988246 0.000 0.000 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.8517 1.000 0.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     4  0.4219     0.3373 0.000 0.416 0.000 0.584 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000     0.9680 0.000 0.000 1.000 0.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.8517 1.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     5  0.3412     0.8100 0.096 0.000 0.008 0.048 0.848
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.4491     0.5250 0.000 0.652 0.000 0.328 0.020
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0162     0.9671 0.000 0.000 0.996 0.000 0.004
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.4227     0.2997 0.000 0.000 0.000 0.580 0.420
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.2020     0.9124 0.000 0.000 0.900 0.000 0.100
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     5  0.4302     0.8338 0.208 0.000 0.000 0.048 0.744
#> 12078907-435A-46C9-96C1-24E71BF4602D     1  0.4528     0.2987 0.548 0.000 0.444 0.000 0.008
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000     0.9680 0.000 0.000 1.000 0.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.4278     0.0954 0.000 0.548 0.000 0.452 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0162     0.8507 0.996 0.000 0.000 0.000 0.004
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     4  0.3561     0.5887 0.000 0.260 0.000 0.740 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     5  0.5167     0.4897 0.404 0.000 0.000 0.044 0.552
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0290     0.8487 0.992 0.000 0.000 0.000 0.008
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     4  0.3561     0.5887 0.000 0.260 0.000 0.740 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.4278     0.0954 0.000 0.548 0.000 0.452 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0880     0.7143 0.000 0.968 0.000 0.032 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     4  0.4101     0.4407 0.000 0.372 0.000 0.628 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0703     0.7206 0.000 0.976 0.000 0.024 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     4  0.3561     0.5887 0.000 0.260 0.000 0.740 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.3003     0.5597 0.000 0.000 0.000 0.812 0.188
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.1043     0.7211 0.000 0.960 0.000 0.040 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.3109     0.6489 0.800 0.000 0.200 0.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.9680 0.000 0.000 1.000 0.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0880     0.7143 0.000 0.968 0.000 0.032 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0404     0.8466 0.988 0.000 0.000 0.000 0.012
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.4824     0.4252 0.000 0.596 0.000 0.376 0.028
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.1792     0.9235 0.000 0.000 0.916 0.000 0.084
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1  0.4528     0.2987 0.548 0.000 0.444 0.000 0.008
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.3452     0.5132 0.000 0.000 0.000 0.756 0.244
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9680 0.000 0.000 1.000 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1  0.4528     0.2987 0.548 0.000 0.444 0.000 0.008
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.8517 1.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0162     0.9671 0.000 0.000 0.996 0.000 0.004
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0703     0.7206 0.000 0.976 0.000 0.024 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.3452     0.5132 0.000 0.000 0.000 0.756 0.244
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     4  0.4171     0.3866 0.000 0.396 0.000 0.604 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.8517 1.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000     0.9680 0.000 0.000 1.000 0.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     5  0.4227     0.1061 0.000 0.000 0.000 0.420 0.580
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0290     0.8487 0.992 0.000 0.000 0.000 0.008
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.4210     0.3235 0.000 0.000 0.000 0.588 0.412
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9680 0.000 0.000 1.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.2020     0.9124 0.000 0.000 0.900 0.000 0.100
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.8517 1.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     4  0.4613     0.3720 0.000 0.360 0.000 0.620 0.020
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.4227     0.2997 0.000 0.000 0.000 0.580 0.420
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9680 0.000 0.000 1.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.4491     0.5250 0.000 0.652 0.000 0.328 0.020
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0290     0.7164 0.000 0.992 0.000 0.008 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.1965     0.7760 0.904 0.000 0.000 0.000 0.096
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     4  0.3561     0.5887 0.000 0.260 0.000 0.740 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     4  0.3636     0.5803 0.000 0.272 0.000 0.728 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.3982     0.7613 0.012 0.000 0.772 0.016 0.200
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.4979     0.1399 0.000 0.492 0.000 0.480 0.028
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.6702     0.2602 0.004 0.300 0.008 0.504 0.184
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0162     0.7142 0.000 0.996 0.000 0.004 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.8517 1.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.5925     0.4063 0.000 0.556 0.000 0.316 0.128
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.8517 1.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.5896     0.4127 0.000 0.564 0.000 0.308 0.128
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0162     0.8505 0.996 0.000 0.000 0.000 0.004
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     4  0.3639     0.6267 0.000 0.184 0.000 0.792 0.024
#> 1339CB34-B996-470A-9710-0649DD05D18A     4  0.3639     0.6267 0.000 0.184 0.000 0.792 0.024
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.3684     0.5201 0.000 0.720 0.000 0.280 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9680 0.000 0.000 1.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0162     0.9671 0.000 0.000 0.996 0.000 0.004
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.8517 1.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     5  0.4302     0.8338 0.208 0.000 0.000 0.048 0.744
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.8517 1.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.3779     0.5912 0.000 0.144 0.000 0.804 0.052
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.9680 0.000 0.000 1.000 0.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.9680 0.000 0.000 1.000 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.1043     0.7213 0.000 0.960 0.000 0.040 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0880     0.7143 0.000 0.968 0.000 0.032 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0162     0.8505 0.996 0.000 0.000 0.000 0.004
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.9680 0.000 0.000 1.000 0.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0963     0.7205 0.000 0.964 0.000 0.036 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     5  0.3412     0.8100 0.096 0.000 0.008 0.048 0.848
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.4760     0.2134 0.000 0.564 0.000 0.416 0.020
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.2020     0.9124 0.000 0.000 0.900 0.000 0.100
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0290     0.8487 0.992 0.000 0.000 0.000 0.008
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     5  0.4302     0.8338 0.208 0.000 0.000 0.048 0.744
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.4210     0.3235 0.000 0.000 0.000 0.588 0.412
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.1732     0.7051 0.000 0.920 0.000 0.080 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     4  0.3639     0.6267 0.000 0.184 0.000 0.792 0.024
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0162     0.8497 0.996 0.000 0.004 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     4  0.3639     0.6267 0.000 0.184 0.000 0.792 0.024
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9680 0.000 0.000 1.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     4  0.3837     0.5423 0.000 0.308 0.000 0.692 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0880     0.7143 0.000 0.968 0.000 0.032 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.4227     0.2997 0.000 0.000 0.000 0.580 0.420
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0162     0.8507 0.996 0.000 0.000 0.000 0.004
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.1965     0.7760 0.904 0.000 0.000 0.000 0.096
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9680 0.000 0.000 1.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.4744     0.2391 0.000 0.572 0.000 0.408 0.020
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     5  0.4302     0.8338 0.208 0.000 0.000 0.048 0.744
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     4  0.3767     0.6307 0.000 0.068 0.000 0.812 0.120
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0290     0.8487 0.992 0.000 0.000 0.000 0.008
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     4  0.3796     0.5465 0.000 0.300 0.000 0.700 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.3109     0.6489 0.800 0.000 0.200 0.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.8517 1.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.4216     0.5824 0.000 0.780 0.000 0.100 0.120
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.8517 1.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     4  0.4171     0.3866 0.000 0.396 0.000 0.604 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0162     0.8507 0.996 0.000 0.000 0.000 0.004
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.4281     0.7566 0.004 0.000 0.768 0.056 0.172
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.4540     0.5076 0.000 0.640 0.000 0.340 0.020
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0963     0.7211 0.000 0.964 0.000 0.036 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.8517 1.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.4278     0.0954 0.000 0.548 0.000 0.452 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0162     0.9671 0.000 0.000 0.996 0.000 0.004
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.8517 1.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.4613     0.3720 0.000 0.360 0.000 0.620 0.020
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.1544     0.9335 0.000 0.000 0.932 0.000 0.068
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000     0.9680 0.000 0.000 1.000 0.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.8517 1.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.5230    -0.3078 0.504 0.000 0.000 0.044 0.452
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.4528     0.2987 0.548 0.000 0.444 0.000 0.008
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.9680 0.000 0.000 1.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000     0.8517 1.000 0.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.2074     0.7682 0.896 0.000 0.000 0.000 0.104
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     4  0.4774     0.2819 0.000 0.424 0.000 0.556 0.020
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.3003     0.5597 0.000 0.000 0.000 0.812 0.188
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.4030     0.3257 0.648 0.000 0.000 0.000 0.352
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.4119     0.5852 0.000 0.152 0.000 0.780 0.068
#> 16A70057-AF47-4934-992E-3E9CF6E74684     4  0.2966     0.6202 0.000 0.184 0.000 0.816 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0162     0.8507 0.996 0.000 0.000 0.000 0.004
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.4793     0.1747 0.000 0.544 0.000 0.436 0.020
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0510     0.9621 0.000 0.000 0.984 0.000 0.016
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.2852     0.6495 0.000 0.828 0.000 0.172 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.3452     0.5132 0.000 0.000 0.000 0.756 0.244
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.3109     0.6489 0.800 0.000 0.200 0.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1  0.4528     0.2987 0.548 0.000 0.444 0.000 0.008
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.5938     0.3988 0.000 0.552 0.000 0.320 0.128
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     4  0.3857     0.5337 0.000 0.312 0.000 0.688 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.2624     0.6771 0.000 0.872 0.000 0.116 0.012
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0510     0.9621 0.000 0.000 0.984 0.000 0.016
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0880     0.7216 0.000 0.968 0.000 0.032 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.2179     0.6867 0.000 0.888 0.000 0.112 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.4268     0.1236 0.000 0.556 0.000 0.444 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.3767     0.6307 0.000 0.068 0.000 0.812 0.120
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0880     0.7143 0.000 0.968 0.000 0.032 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0880     0.7143 0.000 0.968 0.000 0.032 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000     0.9680 0.000 0.000 1.000 0.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     4  0.4752     0.2112 0.000 0.412 0.000 0.568 0.020
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.5938     0.3988 0.000 0.552 0.000 0.320 0.128
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     4  0.3003     0.5597 0.000 0.000 0.000 0.812 0.188
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     5  0.3412     0.8100 0.096 0.000 0.008 0.048 0.848
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000     0.9680 0.000 0.000 1.000 0.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0880     0.7143 0.000 0.968 0.000 0.032 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.2020     0.9124 0.000 0.000 0.900 0.000 0.100
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000     0.9680 0.000 0.000 1.000 0.000 0.000

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.9319 1.000 0.000 0.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     5  0.4168     0.3393 0.000 0.400 0.000 0.000 0.584 0.016
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0458     0.9581 0.000 0.000 0.984 0.000 0.000 0.016
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9319 1.000 0.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     4  0.1531     0.6997 0.068 0.000 0.004 0.928 0.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.4105     0.5088 0.000 0.648 0.000 0.004 0.332 0.016
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0146     0.9622 0.000 0.000 0.996 0.004 0.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     5  0.5927     0.2518 0.000 0.000 0.000 0.316 0.452 0.232
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.1863     0.9079 0.000 0.000 0.896 0.104 0.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     4  0.2631     0.7446 0.180 0.000 0.000 0.820 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     6  0.4631     1.0000 0.320 0.000 0.060 0.000 0.000 0.620
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0458     0.9581 0.000 0.000 0.984 0.000 0.000 0.016
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.4246     0.0464 0.000 0.532 0.000 0.000 0.452 0.016
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0146     0.9306 0.996 0.000 0.000 0.004 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     5  0.3534     0.5713 0.000 0.244 0.000 0.000 0.740 0.016
#> ABB04648-2D62-4E34-9003-4458BF84318D     4  0.3717     0.4648 0.384 0.000 0.000 0.616 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0260     0.9280 0.992 0.000 0.000 0.008 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     5  0.3534     0.5713 0.000 0.244 0.000 0.000 0.740 0.016
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.4246     0.0464 0.000 0.532 0.000 0.000 0.452 0.016
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0790     0.7138 0.000 0.968 0.000 0.000 0.032 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     5  0.4052     0.4341 0.000 0.356 0.000 0.000 0.628 0.016
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0713     0.7201 0.000 0.972 0.000 0.000 0.028 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     5  0.3534     0.5713 0.000 0.244 0.000 0.000 0.740 0.016
#> 667C5809-4A62-4344-9854-CE5703C99FDA     5  0.3287     0.5619 0.000 0.000 0.000 0.012 0.768 0.220
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.1007     0.7199 0.000 0.956 0.000 0.000 0.044 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.2793     0.5654 0.800 0.000 0.200 0.000 0.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.9626 0.000 0.000 1.000 0.000 0.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0790     0.7138 0.000 0.968 0.000 0.000 0.032 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0363     0.9243 0.988 0.000 0.000 0.012 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.4368     0.4105 0.000 0.592 0.000 0.008 0.384 0.016
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.1663     0.9184 0.000 0.000 0.912 0.088 0.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     6  0.4631     1.0000 0.320 0.000 0.060 0.000 0.000 0.620
#> B644962A-DEFE-4169-A39E-EF2141F5125A     5  0.4181     0.5187 0.000 0.000 0.000 0.052 0.700 0.248
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9626 0.000 0.000 1.000 0.000 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     6  0.4631     1.0000 0.320 0.000 0.060 0.000 0.000 0.620
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9319 1.000 0.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0146     0.9622 0.000 0.000 0.996 0.004 0.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0713     0.7201 0.000 0.972 0.000 0.000 0.028 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     5  0.4181     0.5187 0.000 0.000 0.000 0.052 0.700 0.248
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     5  0.4121     0.3838 0.000 0.380 0.000 0.000 0.604 0.016
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9319 1.000 0.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0458     0.9581 0.000 0.000 0.984 0.000 0.000 0.016
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.5347     0.1315 0.000 0.000 0.000 0.540 0.336 0.124
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0260     0.9280 0.992 0.000 0.000 0.008 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     5  0.5862     0.2709 0.000 0.000 0.000 0.316 0.468 0.216
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9626 0.000 0.000 1.000 0.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.1863     0.9079 0.000 0.000 0.896 0.104 0.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9319 1.000 0.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     5  0.4118     0.3585 0.000 0.352 0.000 0.000 0.628 0.020
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     5  0.5927     0.2518 0.000 0.000 0.000 0.316 0.452 0.232
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9626 0.000 0.000 1.000 0.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.4105     0.5088 0.000 0.648 0.000 0.004 0.332 0.016
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0260     0.7155 0.000 0.992 0.000 0.000 0.008 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.1765     0.8256 0.904 0.000 0.000 0.096 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     5  0.3534     0.5713 0.000 0.244 0.000 0.000 0.740 0.016
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     5  0.3606     0.5637 0.000 0.256 0.000 0.000 0.728 0.016
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.3539     0.7587 0.008 0.000 0.768 0.208 0.016 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     5  0.4493    -0.1632 0.000 0.488 0.000 0.008 0.488 0.016
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     5  0.6181     0.2414 0.000 0.296 0.008 0.168 0.512 0.016
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0146     0.7134 0.000 0.996 0.000 0.000 0.004 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9319 1.000 0.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.5947     0.3855 0.000 0.556 0.000 0.064 0.300 0.080
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9319 1.000 0.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.5918     0.3923 0.000 0.564 0.000 0.064 0.292 0.080
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0146     0.9304 0.996 0.000 0.000 0.004 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     5  0.3312     0.5958 0.000 0.180 0.000 0.000 0.792 0.028
#> 1339CB34-B996-470A-9710-0649DD05D18A     5  0.3312     0.5958 0.000 0.180 0.000 0.000 0.792 0.028
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.3738     0.4896 0.000 0.704 0.000 0.000 0.280 0.016
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9626 0.000 0.000 1.000 0.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0146     0.9622 0.000 0.000 0.996 0.004 0.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9319 1.000 0.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     4  0.2631     0.7446 0.180 0.000 0.000 0.820 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9319 1.000 0.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     5  0.3620     0.5620 0.000 0.140 0.000 0.020 0.804 0.036
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.9626 0.000 0.000 1.000 0.000 0.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.9626 0.000 0.000 1.000 0.000 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.1007     0.7206 0.000 0.956 0.000 0.000 0.044 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0790     0.7138 0.000 0.968 0.000 0.000 0.032 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0146     0.9304 0.996 0.000 0.000 0.004 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0260     0.9609 0.000 0.000 0.992 0.000 0.000 0.008
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0937     0.7194 0.000 0.960 0.000 0.000 0.040 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     4  0.1531     0.6997 0.068 0.000 0.004 0.928 0.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.4212     0.2043 0.000 0.560 0.000 0.000 0.424 0.016
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.1863     0.9079 0.000 0.000 0.896 0.104 0.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0260     0.9280 0.992 0.000 0.000 0.008 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     4  0.2631     0.7446 0.180 0.000 0.000 0.820 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     5  0.5862     0.2709 0.000 0.000 0.000 0.316 0.468 0.216
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.1610     0.7012 0.000 0.916 0.000 0.000 0.084 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     5  0.3312     0.5958 0.000 0.180 0.000 0.000 0.792 0.028
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0146     0.9279 0.996 0.000 0.004 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     5  0.3312     0.5958 0.000 0.180 0.000 0.000 0.792 0.028
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9626 0.000 0.000 1.000 0.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     5  0.3797     0.5298 0.000 0.292 0.000 0.000 0.692 0.016
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0790     0.7138 0.000 0.968 0.000 0.000 0.032 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     5  0.5927     0.2518 0.000 0.000 0.000 0.316 0.452 0.232
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0146     0.9306 0.996 0.000 0.000 0.004 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.1765     0.8256 0.904 0.000 0.000 0.096 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9626 0.000 0.000 1.000 0.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.4199     0.2296 0.000 0.568 0.000 0.000 0.416 0.016
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     4  0.2631     0.7446 0.180 0.000 0.000 0.820 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     5  0.3426     0.5923 0.000 0.068 0.000 0.000 0.808 0.124
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0260     0.9280 0.992 0.000 0.000 0.008 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     5  0.3758     0.5325 0.000 0.284 0.000 0.000 0.700 0.016
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.2793     0.5654 0.800 0.000 0.200 0.000 0.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9319 1.000 0.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.4271     0.5733 0.000 0.780 0.000 0.056 0.084 0.080
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9319 1.000 0.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     5  0.4121     0.3838 0.000 0.380 0.000 0.000 0.604 0.016
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0146     0.9306 0.996 0.000 0.000 0.004 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.3771     0.7540 0.000 0.000 0.764 0.180 0.056 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.4148     0.4915 0.000 0.636 0.000 0.004 0.344 0.016
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0937     0.7201 0.000 0.960 0.000 0.000 0.040 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9319 1.000 0.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.4246     0.0464 0.000 0.532 0.000 0.000 0.452 0.016
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0146     0.9622 0.000 0.000 0.996 0.004 0.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9319 1.000 0.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     5  0.4118     0.3585 0.000 0.352 0.000 0.000 0.628 0.020
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.1387     0.9312 0.000 0.000 0.932 0.068 0.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0363     0.9597 0.000 0.000 0.988 0.000 0.000 0.012
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9319 1.000 0.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     4  0.3867     0.2733 0.488 0.000 0.000 0.512 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     6  0.4631     1.0000 0.320 0.000 0.060 0.000 0.000 0.620
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.9626 0.000 0.000 1.000 0.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000     0.9319 1.000 0.000 0.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.1863     0.8145 0.896 0.000 0.000 0.104 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     5  0.4205     0.2638 0.000 0.420 0.000 0.000 0.564 0.016
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     5  0.3287     0.5619 0.000 0.000 0.000 0.012 0.768 0.220
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.3634     0.2945 0.644 0.000 0.000 0.356 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     5  0.3926     0.5560 0.000 0.148 0.000 0.032 0.784 0.036
#> 16A70057-AF47-4934-992E-3E9CF6E74684     5  0.3088     0.5993 0.000 0.172 0.000 0.000 0.808 0.020
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0146     0.9306 0.996 0.000 0.000 0.004 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.4238     0.1547 0.000 0.540 0.000 0.000 0.444 0.016
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0458     0.9584 0.000 0.000 0.984 0.016 0.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.3003     0.6313 0.000 0.812 0.000 0.000 0.172 0.016
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     5  0.4181     0.5187 0.000 0.000 0.000 0.052 0.700 0.248
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.2793     0.5654 0.800 0.000 0.200 0.000 0.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     6  0.4631     1.0000 0.320 0.000 0.060 0.000 0.000 0.620
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.5960     0.3777 0.000 0.552 0.000 0.064 0.304 0.080
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     5  0.3816     0.5207 0.000 0.296 0.000 0.000 0.688 0.016
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.2404     0.6712 0.000 0.872 0.000 0.000 0.112 0.016
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0458     0.9584 0.000 0.000 0.984 0.016 0.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0865     0.7207 0.000 0.964 0.000 0.000 0.036 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.2003     0.6802 0.000 0.884 0.000 0.000 0.116 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.4238     0.0750 0.000 0.540 0.000 0.000 0.444 0.016
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     5  0.3508     0.5905 0.000 0.068 0.000 0.000 0.800 0.132
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0790     0.7138 0.000 0.968 0.000 0.000 0.032 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0790     0.7138 0.000 0.968 0.000 0.000 0.032 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0363     0.9597 0.000 0.000 0.988 0.000 0.000 0.012
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     5  0.4184     0.2063 0.000 0.408 0.000 0.000 0.576 0.016
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.5960     0.3777 0.000 0.552 0.000 0.064 0.304 0.080
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     5  0.3287     0.5619 0.000 0.000 0.000 0.012 0.768 0.220
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     4  0.1531     0.6997 0.068 0.000 0.004 0.928 0.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0458     0.9581 0.000 0.000 0.984 0.000 0.000 0.016
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0790     0.7138 0.000 0.968 0.000 0.000 0.032 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.1863     0.9079 0.000 0.000 0.896 0.104 0.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0458     0.9581 0.000 0.000 0.984 0.000 0.000 0.016

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-MAD-hclust-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-MAD-hclust-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-MAD-hclust-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-MAD-hclust-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-MAD-hclust-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-MAD-hclust-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-MAD-hclust-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-MAD-hclust-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-MAD-hclust-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-MAD-hclust-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-MAD-hclust-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-MAD-hclust-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-MAD-hclust-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-MAD-hclust-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-MAD-hclust-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-MAD-hclust-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-MAD-hclust-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-MAD-hclust-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-MAD-hclust-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-MAD-hclust-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk MAD-hclust-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-MAD-hclust-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-MAD-hclust-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-MAD-hclust-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-MAD-hclust-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-MAD-hclust-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk MAD-hclust-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


MAD:kmeans**

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["MAD", "kmeans"]
# you can also extract it by
# res = res_list["MAD:kmeans"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#>   Subgroups are detected by 'kmeans' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 2.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk MAD-kmeans-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk MAD-kmeans-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 1.000           0.994       0.995         0.5013 0.497   0.497
#> 3 3 0.725           0.942       0.860         0.2519 0.868   0.735
#> 4 4 0.634           0.746       0.766         0.1238 0.883   0.679
#> 5 5 0.709           0.607       0.732         0.0801 0.898   0.665
#> 6 6 0.715           0.489       0.691         0.0489 0.888   0.616

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 2

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette    p1    p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1   0.163      0.986 0.976 0.024
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2   0.000      1.000 0.000 1.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1   0.000      0.989 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1   0.163      0.986 0.976 0.024
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1   0.000      0.989 1.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2   0.000      1.000 0.000 1.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1   0.000      0.989 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2   0.000      1.000 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1   0.000      0.989 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1   0.163      0.986 0.976 0.024
#> 12078907-435A-46C9-96C1-24E71BF4602D     1   0.000      0.989 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     1   0.000      0.989 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2   0.000      1.000 0.000 1.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1   0.163      0.986 0.976 0.024
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2   0.000      1.000 0.000 1.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1   0.163      0.986 0.976 0.024
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1   0.163      0.986 0.976 0.024
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2   0.000      1.000 0.000 1.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2   0.000      1.000 0.000 1.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2   0.000      1.000 0.000 1.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2   0.000      1.000 0.000 1.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2   0.000      1.000 0.000 1.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2   0.000      1.000 0.000 1.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2   0.000      1.000 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2   0.000      1.000 0.000 1.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1   0.000      0.989 1.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1   0.000      0.989 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2   0.000      1.000 0.000 1.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1   0.163      0.986 0.976 0.024
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2   0.000      1.000 0.000 1.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1   0.000      0.989 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1   0.000      0.989 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2   0.000      1.000 0.000 1.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1   0.000      0.989 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1   0.000      0.989 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1   0.163      0.986 0.976 0.024
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1   0.000      0.989 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2   0.000      1.000 0.000 1.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2   0.000      1.000 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2   0.000      1.000 0.000 1.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1   0.163      0.986 0.976 0.024
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1   0.000      0.989 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2   0.000      1.000 0.000 1.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1   0.163      0.986 0.976 0.024
#> C3087790-7575-4662-A7DC-B32808B9A775     2   0.000      1.000 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1   0.000      0.989 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1   0.000      0.989 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1   0.163      0.986 0.976 0.024
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2   0.000      1.000 0.000 1.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2   0.000      1.000 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1   0.000      0.989 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2   0.000      1.000 0.000 1.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2   0.000      1.000 0.000 1.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1   0.163      0.986 0.976 0.024
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2   0.000      1.000 0.000 1.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2   0.000      1.000 0.000 1.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1   0.000      0.989 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2   0.000      1.000 0.000 1.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2   0.000      1.000 0.000 1.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2   0.000      1.000 0.000 1.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1   0.163      0.986 0.976 0.024
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2   0.000      1.000 0.000 1.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1   0.163      0.986 0.976 0.024
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2   0.000      1.000 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1   0.163      0.986 0.976 0.024
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2   0.000      1.000 0.000 1.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2   0.000      1.000 0.000 1.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2   0.000      1.000 0.000 1.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     1   0.000      0.989 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1   0.000      0.989 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1   0.163      0.986 0.976 0.024
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1   0.163      0.986 0.976 0.024
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1   0.163      0.986 0.976 0.024
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2   0.000      1.000 0.000 1.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1   0.000      0.989 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1   0.000      0.989 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2   0.000      1.000 0.000 1.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2   0.000      1.000 0.000 1.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1   0.163      0.986 0.976 0.024
#> E61A5740-7C26-4730-9610-A3C710098B92     1   0.000      0.989 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2   0.000      1.000 0.000 1.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1   0.000      0.989 1.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2   0.000      1.000 0.000 1.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1   0.000      0.989 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1   0.163      0.986 0.976 0.024
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1   0.163      0.986 0.976 0.024
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2   0.000      1.000 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2   0.000      1.000 0.000 1.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2   0.000      1.000 0.000 1.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1   0.000      0.989 1.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2   0.000      1.000 0.000 1.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1   0.000      0.989 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2   0.000      1.000 0.000 1.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2   0.000      1.000 0.000 1.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2   0.000      1.000 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1   0.163      0.986 0.976 0.024
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1   0.163      0.986 0.976 0.024
#> 10161FA0-E389-4D98-B854-098AF908C898     1   0.000      0.989 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2   0.000      1.000 0.000 1.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1   0.163      0.986 0.976 0.024
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2   0.000      1.000 0.000 1.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1   0.163      0.986 0.976 0.024
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2   0.000      1.000 0.000 1.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1   0.000      0.989 1.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1   0.163      0.986 0.976 0.024
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2   0.000      1.000 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1   0.163      0.986 0.976 0.024
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2   0.000      1.000 0.000 1.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1   0.163      0.986 0.976 0.024
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1   0.000      0.989 1.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2   0.000      1.000 0.000 1.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2   0.000      1.000 0.000 1.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1   0.163      0.986 0.976 0.024
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2   0.000      1.000 0.000 1.000
#> 86689648-2C4A-456F-A551-B9731400846C     1   0.000      0.989 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1   0.163      0.986 0.976 0.024
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2   0.000      1.000 0.000 1.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     1   0.000      0.989 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1   0.000      0.989 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1   0.163      0.986 0.976 0.024
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1   0.163      0.986 0.976 0.024
#> B18217F7-303C-4104-848E-A354DADE72BF     1   0.000      0.989 1.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1   0.000      0.989 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1   0.000      0.989 1.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1   0.163      0.986 0.976 0.024
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2   0.000      1.000 0.000 1.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2   0.000      1.000 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1   0.163      0.986 0.976 0.024
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2   0.000      1.000 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2   0.000      1.000 0.000 1.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1   0.163      0.986 0.976 0.024
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2   0.000      1.000 0.000 1.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1   0.000      0.989 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2   0.000      1.000 0.000 1.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2   0.000      1.000 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     1   0.000      0.989 1.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1   0.000      0.989 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2   0.000      1.000 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2   0.000      1.000 0.000 1.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2   0.000      1.000 0.000 1.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1   0.000      0.989 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2   0.000      1.000 0.000 1.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2   0.000      1.000 0.000 1.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2   0.000      1.000 0.000 1.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2   0.000      1.000 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2   0.000      1.000 0.000 1.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2   0.000      1.000 0.000 1.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1   0.000      0.989 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2   0.000      1.000 0.000 1.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2   0.000      1.000 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2   0.000      1.000 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1   0.000      0.989 1.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1   0.000      0.989 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2   0.000      1.000 0.000 1.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     1   0.000      0.989 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1   0.000      0.989 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1    p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.5785      0.996 0.668 0.000 0.332
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.2356      0.905 0.072 0.928 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      1.000 0.000 0.000 1.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.5785      0.996 0.668 0.000 0.332
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.5785      0.996 0.668 0.000 0.332
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.902 0.000 1.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      1.000 0.000 0.000 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.5678      0.849 0.316 0.684 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000      1.000 0.000 0.000 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.5785      0.996 0.668 0.000 0.332
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000      1.000 0.000 0.000 1.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      1.000 0.000 0.000 1.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.902 0.000 1.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.5785      0.996 0.668 0.000 0.332
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.3816      0.896 0.148 0.852 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.5785      0.996 0.668 0.000 0.332
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.5785      0.996 0.668 0.000 0.332
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.3941      0.895 0.156 0.844 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.2356      0.905 0.072 0.928 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0747      0.900 0.016 0.984 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.4605      0.887 0.204 0.796 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0747      0.900 0.016 0.984 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.4121      0.893 0.168 0.832 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.5465      0.861 0.288 0.712 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0747      0.900 0.016 0.984 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.5785      0.996 0.668 0.000 0.332
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      1.000 0.000 0.000 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0747      0.900 0.016 0.984 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.5785      0.996 0.668 0.000 0.332
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0747      0.900 0.016 0.984 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      1.000 0.000 0.000 1.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0000      1.000 0.000 0.000 1.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.5678      0.849 0.316 0.684 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      1.000 0.000 0.000 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0000      1.000 0.000 0.000 1.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.5785      0.996 0.668 0.000 0.332
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      1.000 0.000 0.000 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0747      0.900 0.016 0.984 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.5678      0.849 0.316 0.684 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.4555      0.887 0.200 0.800 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.5785      0.996 0.668 0.000 0.332
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      1.000 0.000 0.000 1.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.5678      0.849 0.316 0.684 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.5785      0.996 0.668 0.000 0.332
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.5678      0.849 0.316 0.684 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      1.000 0.000 0.000 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      1.000 0.000 0.000 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.5785      0.996 0.668 0.000 0.332
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.2537      0.905 0.080 0.920 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.5678      0.849 0.316 0.684 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      1.000 0.000 0.000 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.902 0.000 1.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0747      0.900 0.016 0.984 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.5785      0.996 0.668 0.000 0.332
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.3941      0.895 0.156 0.844 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.4887      0.881 0.228 0.772 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000      1.000 0.000 0.000 1.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0892      0.904 0.020 0.980 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.4654      0.884 0.208 0.792 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0747      0.900 0.016 0.984 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.5785      0.996 0.668 0.000 0.332
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.3686      0.889 0.140 0.860 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.5785      0.996 0.668 0.000 0.332
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.4452      0.878 0.192 0.808 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.5785      0.996 0.668 0.000 0.332
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.4121      0.893 0.168 0.832 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.5465      0.861 0.288 0.712 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0747      0.900 0.016 0.984 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      1.000 0.000 0.000 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      1.000 0.000 0.000 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.5785      0.996 0.668 0.000 0.332
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.5785      0.996 0.668 0.000 0.332
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.5785      0.996 0.668 0.000 0.332
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.5678      0.849 0.316 0.684 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      1.000 0.000 0.000 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      1.000 0.000 0.000 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0747      0.900 0.016 0.984 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0747      0.900 0.016 0.984 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.5785      0.996 0.668 0.000 0.332
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      1.000 0.000 0.000 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0747      0.900 0.016 0.984 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.5785      0.996 0.668 0.000 0.332
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0237      0.903 0.004 0.996 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000      1.000 0.000 0.000 1.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.5785      0.996 0.668 0.000 0.332
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.5785      0.996 0.668 0.000 0.332
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.5678      0.849 0.316 0.684 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0747      0.900 0.016 0.984 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.5327      0.867 0.272 0.728 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.5785      0.996 0.668 0.000 0.332
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.5327      0.867 0.272 0.728 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      1.000 0.000 0.000 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.3686      0.897 0.140 0.860 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0747      0.900 0.016 0.984 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.5678      0.849 0.316 0.684 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.5785      0.996 0.668 0.000 0.332
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.5785      0.996 0.668 0.000 0.332
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      1.000 0.000 0.000 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.902 0.000 1.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.5785      0.996 0.668 0.000 0.332
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.5138      0.873 0.252 0.748 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.5785      0.996 0.668 0.000 0.332
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.4062      0.894 0.164 0.836 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.5785      0.996 0.668 0.000 0.332
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.5785      0.996 0.668 0.000 0.332
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.2796      0.892 0.092 0.908 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.5785      0.996 0.668 0.000 0.332
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0892      0.904 0.020 0.980 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.5785      0.996 0.668 0.000 0.332
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000      1.000 0.000 0.000 1.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0747      0.900 0.016 0.984 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0747      0.900 0.016 0.984 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.5785      0.996 0.668 0.000 0.332
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.2356      0.905 0.072 0.928 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      1.000 0.000 0.000 1.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.5785      0.996 0.668 0.000 0.332
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.4291      0.894 0.180 0.820 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      1.000 0.000 0.000 1.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      1.000 0.000 0.000 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.5785      0.996 0.668 0.000 0.332
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.5785      0.996 0.668 0.000 0.332
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0000      1.000 0.000 0.000 1.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      1.000 0.000 0.000 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.5785      0.996 0.668 0.000 0.332
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.5785      0.996 0.668 0.000 0.332
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.2356      0.905 0.072 0.928 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.5678      0.849 0.316 0.684 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.5785      0.996 0.668 0.000 0.332
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.5678      0.849 0.316 0.684 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.5178      0.872 0.256 0.744 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.5785      0.996 0.668 0.000 0.332
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.902 0.000 1.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      1.000 0.000 0.000 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0747      0.900 0.016 0.984 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.5678      0.849 0.316 0.684 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.6252      0.799 0.556 0.000 0.444
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000      1.000 0.000 0.000 1.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.4452      0.878 0.192 0.808 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.2356      0.905 0.072 0.928 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0747      0.900 0.016 0.984 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      1.000 0.000 0.000 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0747      0.900 0.016 0.984 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.902 0.000 1.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0237      0.903 0.004 0.996 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.5678      0.849 0.316 0.684 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0747      0.900 0.016 0.984 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0747      0.900 0.016 0.984 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      1.000 0.000 0.000 1.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.2356      0.905 0.072 0.928 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.4931      0.875 0.232 0.768 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.5327      0.867 0.272 0.728 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.5785      0.996 0.668 0.000 0.332
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      1.000 0.000 0.000 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0747      0.900 0.016 0.984 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      1.000 0.000 0.000 1.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      1.000 0.000 0.000 1.000

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0188      0.947 0.996 0.004 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     4  0.5950     -0.156 0.000 0.416 0.040 0.544
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.4907      0.940 0.176 0.060 0.764 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0188      0.947 0.996 0.004 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.3444      0.849 0.816 0.184 0.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.5237      0.836 0.000 0.628 0.016 0.356
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.4595      0.945 0.176 0.044 0.780 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.2647      0.571 0.000 0.000 0.120 0.880
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.5665      0.940 0.176 0.108 0.716 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.2530      0.908 0.888 0.112 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.5972      0.918 0.176 0.132 0.692 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.4979      0.939 0.176 0.064 0.760 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.5957      0.659 0.000 0.540 0.040 0.420
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.947 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     4  0.5569      0.331 0.000 0.296 0.044 0.660
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.2216      0.919 0.908 0.092 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.1637      0.932 0.940 0.060 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     4  0.5569      0.331 0.000 0.296 0.044 0.660
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     4  0.5957     -0.173 0.000 0.420 0.040 0.540
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.4331      0.892 0.000 0.712 0.000 0.288
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     4  0.5466      0.335 0.000 0.292 0.040 0.668
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.4331      0.892 0.000 0.712 0.000 0.288
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     4  0.5546      0.338 0.000 0.292 0.044 0.664
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.1733      0.595 0.000 0.024 0.028 0.948
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.4936      0.878 0.000 0.672 0.012 0.316
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.3123      0.879 0.844 0.156 0.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.3539      0.948 0.176 0.004 0.820 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.4331      0.892 0.000 0.712 0.000 0.288
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.947 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.5047      0.877 0.000 0.668 0.016 0.316
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.5050      0.942 0.176 0.068 0.756 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.6240      0.908 0.176 0.156 0.668 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.1474      0.589 0.000 0.000 0.052 0.948
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.4238      0.947 0.176 0.028 0.796 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.6240      0.908 0.176 0.156 0.668 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.947 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.4423      0.947 0.176 0.036 0.788 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.4331      0.892 0.000 0.712 0.000 0.288
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.2281      0.578 0.000 0.000 0.096 0.904
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     4  0.5466      0.335 0.000 0.292 0.040 0.668
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0188      0.947 0.996 0.004 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.4979      0.939 0.176 0.064 0.760 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.3934      0.535 0.000 0.048 0.116 0.836
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.2216      0.919 0.908 0.092 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.2345      0.577 0.000 0.000 0.100 0.900
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.4238      0.947 0.176 0.028 0.796 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.5495      0.943 0.176 0.096 0.728 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0188      0.947 0.996 0.004 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     4  0.6094     -0.176 0.000 0.416 0.048 0.536
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.2647      0.571 0.000 0.000 0.120 0.880
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.3539      0.948 0.176 0.004 0.820 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.5237      0.836 0.000 0.628 0.016 0.356
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.4331      0.892 0.000 0.712 0.000 0.288
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0707      0.944 0.980 0.020 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     4  0.5569      0.331 0.000 0.296 0.044 0.660
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     4  0.5497      0.354 0.000 0.284 0.044 0.672
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.6476      0.861 0.176 0.180 0.644 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.5408      0.739 0.000 0.576 0.016 0.408
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.4163      0.439 0.000 0.188 0.020 0.792
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.4331      0.892 0.000 0.712 0.000 0.288
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0188      0.947 0.996 0.004 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.6677     -0.110 0.000 0.364 0.096 0.540
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.947 1.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.6245      0.256 0.000 0.244 0.108 0.648
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.947 1.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     4  0.4908      0.352 0.000 0.292 0.016 0.692
#> 1339CB34-B996-470A-9710-0649DD05D18A     4  0.1284      0.594 0.000 0.024 0.012 0.964
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.5442      0.862 0.000 0.672 0.040 0.288
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.3539      0.948 0.176 0.004 0.820 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.4423      0.947 0.176 0.036 0.788 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0188      0.947 0.996 0.004 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.2530      0.908 0.888 0.112 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0188      0.947 0.996 0.004 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.0592      0.594 0.000 0.000 0.016 0.984
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.4139      0.948 0.176 0.024 0.800 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.4238      0.947 0.176 0.028 0.796 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.4331      0.892 0.000 0.712 0.000 0.288
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.4331      0.892 0.000 0.712 0.000 0.288
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.947 1.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.3539      0.948 0.176 0.004 0.820 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.4331      0.892 0.000 0.712 0.000 0.288
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.7283      0.445 0.524 0.184 0.000 0.292
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.5950      0.680 0.000 0.544 0.040 0.416
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.5118      0.942 0.176 0.072 0.752 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.2216      0.919 0.908 0.092 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.2530      0.908 0.888 0.112 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.2647      0.571 0.000 0.000 0.120 0.880
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.4936      0.878 0.000 0.672 0.012 0.316
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     4  0.3161      0.562 0.000 0.124 0.012 0.864
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0817      0.944 0.976 0.024 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     4  0.2773      0.568 0.000 0.116 0.004 0.880
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.4238      0.947 0.176 0.028 0.796 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     4  0.5717      0.246 0.000 0.324 0.044 0.632
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.4331      0.892 0.000 0.712 0.000 0.288
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.2647      0.571 0.000 0.000 0.120 0.880
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.947 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0188      0.947 0.996 0.004 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.3539      0.948 0.176 0.004 0.820 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.5127      0.838 0.000 0.632 0.012 0.356
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.2469      0.910 0.892 0.108 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     4  0.3196      0.554 0.000 0.136 0.008 0.856
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0817      0.943 0.976 0.024 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     4  0.5546      0.338 0.000 0.292 0.044 0.664
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.1302      0.926 0.956 0.044 0.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.947 1.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.6491      0.401 0.000 0.496 0.072 0.432
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0188      0.947 0.996 0.004 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.6071      0.544 0.000 0.504 0.044 0.452
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.947 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.4907      0.945 0.176 0.060 0.764 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.5047      0.877 0.000 0.668 0.016 0.316
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.4673      0.889 0.000 0.700 0.008 0.292
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0188      0.947 0.996 0.004 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     4  0.5957     -0.173 0.000 0.420 0.040 0.540
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.4423      0.947 0.176 0.036 0.788 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0188      0.947 0.996 0.004 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.5733      0.165 0.000 0.312 0.048 0.640
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.5118      0.942 0.176 0.072 0.752 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.5314      0.935 0.176 0.084 0.740 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.947 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.2216      0.919 0.908 0.092 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.6548      0.883 0.176 0.188 0.636 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.3539      0.948 0.176 0.004 0.820 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0188      0.947 0.996 0.004 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.1211      0.938 0.960 0.040 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     4  0.6170     -0.201 0.000 0.420 0.052 0.528
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.0921      0.592 0.000 0.000 0.028 0.972
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.1637      0.932 0.940 0.060 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.2469      0.571 0.000 0.000 0.108 0.892
#> 16A70057-AF47-4934-992E-3E9CF6E74684     4  0.4514      0.549 0.000 0.136 0.064 0.800
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.947 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.5237      0.835 0.000 0.628 0.016 0.356
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.5314      0.937 0.176 0.084 0.740 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.5442      0.862 0.000 0.672 0.040 0.288
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.2281      0.578 0.000 0.000 0.096 0.904
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.5857      0.665 0.696 0.196 0.108 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.5972      0.918 0.176 0.132 0.692 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.6245      0.256 0.000 0.244 0.108 0.648
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     4  0.5950     -0.156 0.000 0.416 0.040 0.544
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.4509      0.889 0.000 0.708 0.004 0.288
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.4423      0.947 0.176 0.036 0.788 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.4331      0.892 0.000 0.712 0.000 0.288
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.5929      0.798 0.000 0.596 0.048 0.356
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.5883      0.738 0.000 0.572 0.040 0.388
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.0921      0.592 0.000 0.000 0.028 0.972
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.4331      0.892 0.000 0.712 0.000 0.288
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.4331      0.892 0.000 0.712 0.000 0.288
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.5376      0.935 0.176 0.088 0.736 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     4  0.6038     -0.202 0.000 0.424 0.044 0.532
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.5452      0.434 0.000 0.156 0.108 0.736
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     4  0.2915      0.585 0.000 0.080 0.028 0.892
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.3444      0.849 0.816 0.184 0.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.4979      0.939 0.176 0.064 0.760 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.4331      0.892 0.000 0.712 0.000 0.288
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.5874      0.909 0.176 0.124 0.700 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.5772      0.922 0.176 0.116 0.708 0.000

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.2388     0.8080 0.900 0.000 0.072 0.028 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.2605     0.4135 0.000 0.852 0.000 0.148 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.2754     0.8490 0.000 0.000 0.880 0.040 0.080
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.2554     0.8064 0.892 0.000 0.072 0.036 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.5594    -0.2175 0.492 0.000 0.072 0.000 0.436
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.4481     0.6042 0.016 0.732 0.000 0.024 0.228
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.2488     0.8420 0.000 0.000 0.872 0.004 0.124
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.4245     0.7117 0.028 0.124 0.000 0.800 0.048
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.4284     0.8154 0.000 0.000 0.736 0.040 0.224
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.5199     0.4410 0.636 0.000 0.072 0.000 0.292
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.4700     0.7964 0.000 0.000 0.728 0.088 0.184
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.2813     0.8460 0.000 0.000 0.876 0.040 0.084
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.1568     0.5243 0.000 0.944 0.000 0.036 0.020
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.2208     0.8091 0.908 0.000 0.072 0.020 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.3774     0.1435 0.000 0.704 0.000 0.296 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.5051     0.5086 0.664 0.000 0.072 0.000 0.264
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.4096     0.6955 0.784 0.000 0.072 0.000 0.144
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.3796     0.1347 0.000 0.700 0.000 0.300 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.2516     0.4228 0.000 0.860 0.000 0.140 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.4327     0.6163 0.008 0.632 0.000 0.000 0.360
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.3913     0.0499 0.000 0.676 0.000 0.324 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.4060     0.6160 0.000 0.640 0.000 0.000 0.360
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.3857     0.0983 0.000 0.688 0.000 0.312 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.4288     0.6237 0.000 0.384 0.000 0.612 0.004
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.4114     0.6181 0.016 0.712 0.000 0.000 0.272
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.5697     0.1959 0.568 0.000 0.072 0.008 0.352
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.8656 0.000 0.000 1.000 0.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.4327     0.6163 0.008 0.632 0.000 0.000 0.360
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.1768     0.8100 0.924 0.000 0.072 0.000 0.004
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.4348     0.6127 0.016 0.668 0.000 0.000 0.316
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.2929     0.8312 0.000 0.000 0.840 0.008 0.152
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.4982     0.7696 0.000 0.000 0.692 0.088 0.220
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.3628     0.7079 0.000 0.216 0.000 0.772 0.012
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0703     0.8634 0.000 0.000 0.976 0.000 0.024
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.4982     0.7696 0.000 0.000 0.692 0.088 0.220
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.2208     0.8091 0.908 0.000 0.072 0.020 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.1892     0.8578 0.000 0.000 0.916 0.004 0.080
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.4060     0.6160 0.000 0.640 0.000 0.000 0.360
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.2753     0.7213 0.000 0.136 0.000 0.856 0.008
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.3857     0.0760 0.000 0.688 0.000 0.312 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.2473     0.8068 0.896 0.000 0.072 0.032 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.2813     0.8460 0.000 0.000 0.876 0.040 0.084
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.5591     0.6612 0.064 0.120 0.000 0.716 0.100
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.4930     0.5440 0.684 0.000 0.072 0.000 0.244
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.2969     0.7203 0.000 0.128 0.000 0.852 0.020
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0609     0.8639 0.000 0.000 0.980 0.000 0.020
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.4134     0.8309 0.000 0.000 0.760 0.044 0.196
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.2473     0.8068 0.896 0.000 0.072 0.032 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.2953     0.4083 0.000 0.844 0.000 0.144 0.012
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.4405     0.7097 0.036 0.124 0.000 0.792 0.048
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.8656 0.000 0.000 1.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.4481     0.6042 0.016 0.732 0.000 0.024 0.228
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.4327     0.6163 0.008 0.632 0.000 0.000 0.360
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.2473     0.7977 0.896 0.000 0.072 0.000 0.032
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.3796     0.1347 0.000 0.700 0.000 0.300 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.4088    -0.1137 0.000 0.632 0.000 0.368 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.4510     0.3935 0.000 0.000 0.560 0.008 0.432
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.4011     0.5607 0.016 0.804 0.000 0.040 0.140
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.5815    -0.2975 0.024 0.560 0.000 0.364 0.052
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.4060     0.6160 0.000 0.640 0.000 0.000 0.360
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.2554     0.8064 0.892 0.000 0.072 0.036 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.7664    -0.0569 0.064 0.396 0.000 0.336 0.204
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.1608     0.8107 0.928 0.000 0.072 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.6933     0.3964 0.064 0.328 0.000 0.508 0.100
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.1608     0.8107 0.928 0.000 0.072 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.4586     0.0109 0.016 0.644 0.000 0.336 0.004
#> 1339CB34-B996-470A-9710-0649DD05D18A     4  0.4950     0.6025 0.016 0.424 0.000 0.552 0.008
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.3838     0.6158 0.004 0.716 0.000 0.000 0.280
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.8656 0.000 0.000 1.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.2011     0.8574 0.000 0.000 0.908 0.004 0.088
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.2388     0.8080 0.900 0.000 0.072 0.028 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.5199     0.4410 0.636 0.000 0.072 0.000 0.292
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.2388     0.8080 0.900 0.000 0.072 0.028 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.4919     0.6547 0.016 0.368 0.000 0.604 0.012
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0404     0.8645 0.000 0.000 0.988 0.000 0.012
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0609     0.8639 0.000 0.000 0.980 0.000 0.020
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.4327     0.6163 0.008 0.632 0.000 0.000 0.360
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.4327     0.6163 0.008 0.632 0.000 0.000 0.360
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.1608     0.8107 0.928 0.000 0.072 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.8656 0.000 0.000 1.000 0.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.4060     0.6160 0.000 0.640 0.000 0.000 0.360
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     5  0.7580     0.4700 0.192 0.000 0.064 0.316 0.428
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.1885     0.5191 0.012 0.936 0.000 0.032 0.020
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.3053     0.8280 0.000 0.000 0.828 0.008 0.164
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.4955     0.5359 0.680 0.000 0.072 0.000 0.248
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.5199     0.4410 0.636 0.000 0.072 0.000 0.292
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.4624     0.7080 0.048 0.124 0.000 0.780 0.048
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.4329     0.6139 0.016 0.672 0.000 0.000 0.312
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     4  0.4892     0.5019 0.016 0.484 0.000 0.496 0.004
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.3888     0.7241 0.812 0.000 0.072 0.004 0.112
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     4  0.4522     0.5423 0.008 0.440 0.000 0.552 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0609     0.8639 0.000 0.000 0.980 0.000 0.020
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.3636     0.1944 0.000 0.728 0.000 0.272 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.4327     0.6163 0.008 0.632 0.000 0.000 0.360
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.4245     0.7117 0.028 0.124 0.000 0.800 0.048
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.1608     0.8107 0.928 0.000 0.072 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.1768     0.8100 0.924 0.000 0.072 0.000 0.004
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.8656 0.000 0.000 1.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.4421     0.6045 0.016 0.740 0.000 0.024 0.220
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.5117     0.4830 0.652 0.000 0.072 0.000 0.276
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     4  0.4557     0.4577 0.008 0.476 0.000 0.516 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.2554     0.7952 0.892 0.000 0.072 0.000 0.036
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.3837     0.1110 0.000 0.692 0.000 0.308 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.3720     0.7504 0.844 0.000 0.072 0.040 0.044
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.1608     0.8107 0.928 0.000 0.072 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.7369     0.2159 0.044 0.460 0.000 0.240 0.256
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.2554     0.8064 0.892 0.000 0.072 0.036 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.2130     0.4952 0.000 0.908 0.000 0.080 0.012
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.1608     0.8107 0.928 0.000 0.072 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.2488     0.8427 0.000 0.000 0.872 0.004 0.124
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.4269     0.6143 0.016 0.684 0.000 0.000 0.300
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.4235     0.6145 0.008 0.656 0.000 0.000 0.336
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.2554     0.8064 0.892 0.000 0.072 0.036 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.2516     0.4228 0.000 0.860 0.000 0.140 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.1608     0.8558 0.000 0.000 0.928 0.000 0.072
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.2473     0.8068 0.896 0.000 0.072 0.032 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.4363     0.1180 0.008 0.708 0.000 0.268 0.016
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.3053     0.8280 0.000 0.000 0.828 0.008 0.164
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.3669     0.8290 0.000 0.000 0.816 0.056 0.128
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.2208     0.8091 0.908 0.000 0.072 0.020 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.4823     0.5733 0.700 0.000 0.072 0.000 0.228
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.5365     0.6949 0.000 0.000 0.628 0.088 0.284
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.8656 0.000 0.000 1.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.2554     0.8064 0.892 0.000 0.072 0.036 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.3828     0.7229 0.808 0.000 0.072 0.000 0.120
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.2694     0.4253 0.004 0.864 0.000 0.128 0.004
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.4166     0.6572 0.000 0.348 0.000 0.648 0.004
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.4479     0.6445 0.744 0.000 0.072 0.000 0.184
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.4903     0.6935 0.036 0.152 0.000 0.752 0.060
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.4306    -0.4465 0.000 0.508 0.000 0.492 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.1608     0.8107 0.928 0.000 0.072 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.4391     0.6041 0.016 0.744 0.000 0.024 0.216
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.3714     0.8364 0.000 0.000 0.812 0.056 0.132
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.4046     0.6153 0.008 0.696 0.000 0.000 0.296
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.2753     0.7213 0.000 0.136 0.000 0.856 0.008
#> 864194B9-3525-439D-84A4-EA257300335C     5  0.6585     0.1920 0.408 0.000 0.144 0.012 0.436
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.4666     0.7972 0.000 0.000 0.732 0.088 0.180
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.6933     0.3964 0.064 0.328 0.000 0.508 0.100
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.2605     0.4134 0.000 0.852 0.000 0.148 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.4101     0.6129 0.000 0.628 0.000 0.000 0.372
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.1952     0.8577 0.000 0.000 0.912 0.004 0.084
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.4327     0.6163 0.008 0.632 0.000 0.000 0.360
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.3577     0.5978 0.000 0.808 0.000 0.032 0.160
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.2238     0.5611 0.004 0.912 0.000 0.020 0.064
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.4196     0.6515 0.000 0.356 0.000 0.640 0.004
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.4327     0.6163 0.008 0.632 0.000 0.000 0.360
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.4327     0.6163 0.008 0.632 0.000 0.000 0.360
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.3669     0.8290 0.000 0.000 0.816 0.056 0.128
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.2629     0.4251 0.000 0.860 0.000 0.136 0.004
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.6679     0.5008 0.064 0.280 0.000 0.564 0.092
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     4  0.4201     0.5943 0.000 0.408 0.000 0.592 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.5591    -0.1966 0.496 0.000 0.072 0.000 0.432
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.2813     0.8460 0.000 0.000 0.876 0.040 0.084
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.4327     0.6163 0.008 0.632 0.000 0.000 0.360
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.3910     0.7025 0.000 0.000 0.720 0.008 0.272
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.4017     0.8156 0.000 0.000 0.788 0.064 0.148

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.1693    0.81782 0.936 0.000 0.000 0.020 0.032 0.012
#> 11C93F5A-2187-484A-805D-BB696C1B9032     5  0.6244    0.40336 0.000 0.320 0.000 0.008 0.412 0.260
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.4314    0.26601 0.040 0.000 0.724 0.008 0.008 0.220
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.1933    0.81399 0.924 0.000 0.000 0.032 0.032 0.012
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#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.2932    0.60237 0.040 0.000 0.876 0.056 0.012 0.016
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0603    0.75272 0.000 0.980 0.004 0.000 0.000 0.016
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.5961    0.49211 0.000 0.636 0.024 0.036 0.136 0.168
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.6214    0.04016 0.000 0.472 0.004 0.008 0.244 0.272
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     5  0.2224    0.46033 0.000 0.064 0.000 0.020 0.904 0.012
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0622    0.75291 0.000 0.980 0.008 0.000 0.000 0.012
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0909    0.75144 0.000 0.968 0.012 0.000 0.000 0.020
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.5046   -0.06323 0.040 0.000 0.636 0.024 0.008 0.292
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     5  0.6345    0.35734 0.000 0.336 0.000 0.012 0.392 0.260
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.5588    0.12543 0.000 0.132 0.000 0.544 0.316 0.008
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     5  0.2816    0.48982 0.000 0.088 0.000 0.020 0.868 0.024
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     4  0.6349   -0.24608 0.364 0.000 0.012 0.368 0.000 0.256
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.4606    0.21515 0.040 0.000 0.708 0.020 0.008 0.224
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0622    0.75291 0.000 0.980 0.008 0.000 0.000 0.012
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.5805    0.25009 0.040 0.000 0.632 0.184 0.008 0.136
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.5358   -0.44826 0.040 0.000 0.560 0.028 0.008 0.364

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-MAD-kmeans-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-MAD-kmeans-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-MAD-kmeans-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-MAD-kmeans-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-MAD-kmeans-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-MAD-kmeans-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-MAD-kmeans-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-MAD-kmeans-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-MAD-kmeans-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-MAD-kmeans-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-MAD-kmeans-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-MAD-kmeans-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-MAD-kmeans-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-MAD-kmeans-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-MAD-kmeans-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-MAD-kmeans-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-MAD-kmeans-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-MAD-kmeans-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-MAD-kmeans-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-MAD-kmeans-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk MAD-kmeans-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-MAD-kmeans-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-MAD-kmeans-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-MAD-kmeans-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-MAD-kmeans-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-MAD-kmeans-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk MAD-kmeans-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


MAD:skmeans**

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["MAD", "skmeans"]
# you can also extract it by
# res = res_list["MAD:skmeans"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#>   Subgroups are detected by 'skmeans' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 3.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk MAD-skmeans-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk MAD-skmeans-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 1.000           1.000       1.000         0.5034 0.497   0.497
#> 3 3 1.000           0.981       0.992         0.2623 0.868   0.734
#> 4 4 0.854           0.832       0.930         0.1748 0.879   0.672
#> 5 5 0.855           0.834       0.890         0.0550 0.917   0.696
#> 6 6 0.831           0.769       0.873         0.0405 0.964   0.829

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2

There is also optional best \(k\) = 2 that is worth to check.

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette p1 p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1       0          1  1  0
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2       0          1  0  1
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1       0          1  1  0
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1       0          1  1  0
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1       0          1  1  0
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2       0          1  0  1
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1       0          1  1  0
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2       0          1  0  1
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1       0          1  1  0
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1       0          1  1  0
#> 12078907-435A-46C9-96C1-24E71BF4602D     1       0          1  1  0
#> 8670C657-F6AB-4767-9278-42E64C614370     1       0          1  1  0
#> 1709294C-7194-493D-AF5C-574927F57C0C     2       0          1  0  1
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1       0          1  1  0
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2       0          1  0  1
#> ABB04648-2D62-4E34-9003-4458BF84318D     1       0          1  1  0
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1       0          1  1  0
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2       0          1  0  1
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2       0          1  0  1
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2       0          1  0  1
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2       0          1  0  1
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2       0          1  0  1
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2       0          1  0  1
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2       0          1  0  1
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2       0          1  0  1
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1       0          1  1  0
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1       0          1  1  0
#> 75565A38-EC23-4052-8D31-903C601F64D5     2       0          1  0  1
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1       0          1  1  0
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2       0          1  0  1
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1       0          1  1  0
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1       0          1  1  0
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2       0          1  0  1
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1       0          1  1  0
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1       0          1  1  0
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1       0          1  1  0
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1       0          1  1  0
#> 589ACA26-273D-491F-836B-A604BE63947B     2       0          1  0  1
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2       0          1  0  1
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2       0          1  0  1
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1       0          1  1  0
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1       0          1  1  0
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2       0          1  0  1
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1       0          1  1  0
#> C3087790-7575-4662-A7DC-B32808B9A775     2       0          1  0  1
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1       0          1  1  0
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1       0          1  1  0
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1       0          1  1  0
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2       0          1  0  1
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2       0          1  0  1
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1       0          1  1  0
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2       0          1  0  1
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2       0          1  0  1
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1       0          1  1  0
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2       0          1  0  1
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2       0          1  0  1
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1       0          1  1  0
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2       0          1  0  1
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2       0          1  0  1
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2       0          1  0  1
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1       0          1  1  0
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2       0          1  0  1
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1       0          1  1  0
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2       0          1  0  1
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1       0          1  1  0
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2       0          1  0  1
#> 1339CB34-B996-470A-9710-0649DD05D18A     2       0          1  0  1
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2       0          1  0  1
#> 7559E197-0527-40D8-A982-C37B35A9A902     1       0          1  1  0
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1       0          1  1  0
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1       0          1  1  0
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1       0          1  1  0
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1       0          1  1  0
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2       0          1  0  1
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1       0          1  1  0
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1       0          1  1  0
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2       0          1  0  1
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2       0          1  0  1
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1       0          1  1  0
#> E61A5740-7C26-4730-9610-A3C710098B92     1       0          1  1  0
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2       0          1  0  1
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1       0          1  1  0
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2       0          1  0  1
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1       0          1  1  0
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1       0          1  1  0
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1       0          1  1  0
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2       0          1  0  1
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2       0          1  0  1
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2       0          1  0  1
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1       0          1  1  0
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2       0          1  0  1
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1       0          1  1  0
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2       0          1  0  1
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2       0          1  0  1
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2       0          1  0  1
#> CF882451-7864-4A14-8893-D9F3D1B79379     1       0          1  1  0
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1       0          1  1  0
#> 10161FA0-E389-4D98-B854-098AF908C898     1       0          1  1  0
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2       0          1  0  1
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1       0          1  1  0
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2       0          1  0  1
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1       0          1  1  0
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2       0          1  0  1
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1       0          1  1  0
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1       0          1  1  0
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2       0          1  0  1
#> C06A7A87-28A2-4851-A743-583F729D07D3     1       0          1  1  0
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2       0          1  0  1
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1       0          1  1  0
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1       0          1  1  0
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2       0          1  0  1
#> 692A3312-2027-472B-A28C-C661A0539EB5     2       0          1  0  1
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1       0          1  1  0
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2       0          1  0  1
#> 86689648-2C4A-456F-A551-B9731400846C     1       0          1  1  0
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1       0          1  1  0
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2       0          1  0  1
#> BFB33809-F185-4835-8329-AE53FDEE847C     1       0          1  1  0
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1       0          1  1  0
#> 852F1EDF-6046-462C-820F-9782410E1845     1       0          1  1  0
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1       0          1  1  0
#> B18217F7-303C-4104-848E-A354DADE72BF     1       0          1  1  0
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1       0          1  1  0
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1       0          1  1  0
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1       0          1  1  0
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2       0          1  0  1
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2       0          1  0  1
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1       0          1  1  0
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2       0          1  0  1
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2       0          1  0  1
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1       0          1  1  0
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2       0          1  0  1
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1       0          1  1  0
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2       0          1  0  1
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2       0          1  0  1
#> 864194B9-3525-439D-84A4-EA257300335C     1       0          1  1  0
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1       0          1  1  0
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2       0          1  0  1
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2       0          1  0  1
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2       0          1  0  1
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1       0          1  1  0
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2       0          1  0  1
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2       0          1  0  1
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2       0          1  0  1
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2       0          1  0  1
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2       0          1  0  1
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2       0          1  0  1
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1       0          1  1  0
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2       0          1  0  1
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2       0          1  0  1
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2       0          1  0  1
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1       0          1  1  0
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1       0          1  1  0
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2       0          1  0  1
#> 6ED5E961-E559-4459-937E-D0F03650620F     1       0          1  1  0
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1       0          1  1  0

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1 p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1   0.000      0.990 1.000  0 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2   0.000      1.000 0.000  1 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3   0.000      0.978 0.000  0 1.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1   0.000      0.990 1.000  0 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     3   0.628      0.158 0.460  0 0.540
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2   0.000      1.000 0.000  1 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3   0.000      0.978 0.000  0 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2   0.000      1.000 0.000  1 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3   0.000      0.978 0.000  0 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1   0.000      0.990 1.000  0 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3   0.000      0.978 0.000  0 1.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3   0.000      0.978 0.000  0 1.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2   0.000      1.000 0.000  1 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1   0.000      0.990 1.000  0 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2   0.000      1.000 0.000  1 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1   0.000      0.990 1.000  0 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1   0.000      0.990 1.000  0 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2   0.000      1.000 0.000  1 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2   0.000      1.000 0.000  1 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2   0.000      1.000 0.000  1 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2   0.000      1.000 0.000  1 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2   0.000      1.000 0.000  1 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2   0.000      1.000 0.000  1 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2   0.000      1.000 0.000  1 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2   0.000      1.000 0.000  1 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1   0.382      0.821 0.852  0 0.148
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3   0.000      0.978 0.000  0 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2   0.000      1.000 0.000  1 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1   0.000      0.990 1.000  0 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2   0.000      1.000 0.000  1 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3   0.000      0.978 0.000  0 1.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3   0.000      0.978 0.000  0 1.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2   0.000      1.000 0.000  1 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3   0.000      0.978 0.000  0 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3   0.000      0.978 0.000  0 1.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1   0.000      0.990 1.000  0 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3   0.000      0.978 0.000  0 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2   0.000      1.000 0.000  1 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2   0.000      1.000 0.000  1 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2   0.000      1.000 0.000  1 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1   0.000      0.990 1.000  0 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3   0.000      0.978 0.000  0 1.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2   0.000      1.000 0.000  1 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1   0.000      0.990 1.000  0 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2   0.000      1.000 0.000  1 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3   0.000      0.978 0.000  0 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3   0.000      0.978 0.000  0 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1   0.000      0.990 1.000  0 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2   0.000      1.000 0.000  1 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2   0.000      1.000 0.000  1 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3   0.000      0.978 0.000  0 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2   0.000      1.000 0.000  1 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2   0.000      1.000 0.000  1 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1   0.000      0.990 1.000  0 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2   0.000      1.000 0.000  1 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2   0.000      1.000 0.000  1 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3   0.000      0.978 0.000  0 1.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2   0.000      1.000 0.000  1 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2   0.000      1.000 0.000  1 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2   0.000      1.000 0.000  1 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1   0.000      0.990 1.000  0 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2   0.000      1.000 0.000  1 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1   0.000      0.990 1.000  0 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2   0.000      1.000 0.000  1 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1   0.000      0.990 1.000  0 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2   0.000      1.000 0.000  1 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2   0.000      1.000 0.000  1 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2   0.000      1.000 0.000  1 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3   0.000      0.978 0.000  0 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3   0.000      0.978 0.000  0 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1   0.000      0.990 1.000  0 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1   0.000      0.990 1.000  0 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1   0.000      0.990 1.000  0 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2   0.000      1.000 0.000  1 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3   0.000      0.978 0.000  0 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3   0.000      0.978 0.000  0 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2   0.000      1.000 0.000  1 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2   0.000      1.000 0.000  1 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1   0.000      0.990 1.000  0 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3   0.000      0.978 0.000  0 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2   0.000      1.000 0.000  1 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     3   0.460      0.744 0.204  0 0.796
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2   0.000      1.000 0.000  1 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3   0.000      0.978 0.000  0 1.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1   0.000      0.990 1.000  0 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1   0.000      0.990 1.000  0 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2   0.000      1.000 0.000  1 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2   0.000      1.000 0.000  1 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2   0.000      1.000 0.000  1 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1   0.000      0.990 1.000  0 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2   0.000      1.000 0.000  1 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3   0.000      0.978 0.000  0 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2   0.000      1.000 0.000  1 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2   0.000      1.000 0.000  1 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2   0.000      1.000 0.000  1 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1   0.000      0.990 1.000  0 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1   0.000      0.990 1.000  0 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3   0.000      0.978 0.000  0 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2   0.000      1.000 0.000  1 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1   0.000      0.990 1.000  0 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2   0.000      1.000 0.000  1 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1   0.000      0.990 1.000  0 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2   0.000      1.000 0.000  1 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1   0.484      0.712 0.776  0 0.224
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1   0.000      0.990 1.000  0 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2   0.000      1.000 0.000  1 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1   0.000      0.990 1.000  0 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2   0.000      1.000 0.000  1 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1   0.000      0.990 1.000  0 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3   0.000      0.978 0.000  0 1.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2   0.000      1.000 0.000  1 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2   0.000      1.000 0.000  1 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1   0.000      0.990 1.000  0 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2   0.000      1.000 0.000  1 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3   0.000      0.978 0.000  0 1.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1   0.000      0.990 1.000  0 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2   0.000      1.000 0.000  1 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3   0.000      0.978 0.000  0 1.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3   0.000      0.978 0.000  0 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1   0.000      0.990 1.000  0 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1   0.000      0.990 1.000  0 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3   0.000      0.978 0.000  0 1.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3   0.000      0.978 0.000  0 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1   0.000      0.990 1.000  0 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1   0.000      0.990 1.000  0 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2   0.000      1.000 0.000  1 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2   0.000      1.000 0.000  1 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1   0.000      0.990 1.000  0 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2   0.000      1.000 0.000  1 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2   0.000      1.000 0.000  1 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1   0.000      0.990 1.000  0 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2   0.000      1.000 0.000  1 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3   0.000      0.978 0.000  0 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2   0.000      1.000 0.000  1 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2   0.000      1.000 0.000  1 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     3   0.000      0.978 0.000  0 1.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3   0.000      0.978 0.000  0 1.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2   0.000      1.000 0.000  1 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2   0.000      1.000 0.000  1 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2   0.000      1.000 0.000  1 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3   0.000      0.978 0.000  0 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2   0.000      1.000 0.000  1 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2   0.000      1.000 0.000  1 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2   0.000      1.000 0.000  1 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2   0.000      1.000 0.000  1 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2   0.000      1.000 0.000  1 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2   0.000      1.000 0.000  1 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3   0.000      0.978 0.000  0 1.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2   0.000      1.000 0.000  1 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2   0.000      1.000 0.000  1 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2   0.000      1.000 0.000  1 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3   0.460      0.744 0.204  0 0.796
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3   0.000      0.978 0.000  0 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2   0.000      1.000 0.000  1 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3   0.000      0.978 0.000  0 1.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3   0.000      0.978 0.000  0 1.000

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.4250     0.5919 0.000 0.724 0.000 0.276
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.5158     0.0929 0.524 0.000 0.472 0.004
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.0188     0.8124 0.000 0.004 0.000 0.996
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0188     0.9727 0.996 0.000 0.000 0.004
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0817     0.8458 0.000 0.976 0.000 0.024
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.4888     0.2911 0.000 0.588 0.000 0.412
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0188     0.9727 0.996 0.000 0.000 0.004
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.4888     0.2911 0.000 0.588 0.000 0.412
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.4250     0.5919 0.000 0.724 0.000 0.276
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     4  0.4855     0.3585 0.000 0.400 0.000 0.600
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     4  0.4907     0.3045 0.000 0.420 0.000 0.580
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.0188     0.8124 0.000 0.004 0.000 0.996
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.3219     0.7958 0.836 0.000 0.164 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.0188     0.8124 0.000 0.004 0.000 0.996
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0188     0.8124 0.000 0.004 0.000 0.996
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     4  0.4817     0.3876 0.000 0.388 0.000 0.612
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.0336     0.8105 0.000 0.008 0.000 0.992
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.0188     0.8124 0.000 0.004 0.000 0.996
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.4250     0.5919 0.000 0.724 0.000 0.276
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.0188     0.8124 0.000 0.004 0.000 0.996
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.4888     0.2911 0.000 0.588 0.000 0.412
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     4  0.4134     0.6257 0.000 0.260 0.000 0.740
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.2704     0.7310 0.000 0.124 0.000 0.876
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.4843     0.2083 0.000 0.604 0.000 0.396
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.4877     0.3128 0.000 0.408 0.000 0.592
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     4  0.4907     0.3051 0.000 0.420 0.000 0.580
#> 1339CB34-B996-470A-9710-0649DD05D18A     4  0.0188     0.8124 0.000 0.004 0.000 0.996
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0188     0.9727 0.996 0.000 0.000 0.004
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.0188     0.8124 0.000 0.004 0.000 0.996
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     3  0.7159     0.4321 0.200 0.000 0.556 0.244
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0188     0.9727 0.996 0.000 0.000 0.004
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.0188     0.8124 0.000 0.004 0.000 0.996
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     4  0.3486     0.7110 0.000 0.188 0.000 0.812
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     4  0.3486     0.7110 0.000 0.188 0.000 0.812
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.4855     0.3240 0.000 0.600 0.000 0.400
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.0188     0.8124 0.000 0.004 0.000 0.996
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0188     0.9727 0.996 0.000 0.000 0.004
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     4  0.3649     0.6956 0.000 0.204 0.000 0.796
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     4  0.4907     0.3045 0.000 0.420 0.000 0.580
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.3907     0.6997 0.768 0.000 0.232 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.3610     0.6177 0.000 0.800 0.000 0.200
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.2868     0.7548 0.000 0.864 0.000 0.136
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.4250     0.5919 0.000 0.724 0.000 0.276
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.4955     0.2532 0.000 0.556 0.000 0.444
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0188     0.9727 0.996 0.000 0.000 0.004
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0188     0.9727 0.996 0.000 0.000 0.004
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.4250     0.5919 0.000 0.724 0.000 0.276
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.0188     0.8124 0.000 0.004 0.000 0.996
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0188     0.9727 0.996 0.000 0.000 0.004
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.0188     0.8124 0.000 0.004 0.000 0.996
#> 16A70057-AF47-4934-992E-3E9CF6E74684     4  0.3649     0.6956 0.000 0.204 0.000 0.796
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9744 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0188     0.8124 0.000 0.004 0.000 0.996
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.4888     0.3043 0.000 0.412 0.000 0.588
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.4250     0.5919 0.000 0.724 0.000 0.276
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0336     0.8554 0.000 0.992 0.000 0.008
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.1022     0.8406 0.000 0.968 0.000 0.032
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.0188     0.8124 0.000 0.004 0.000 0.996
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.4250     0.5919 0.000 0.724 0.000 0.276
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.4040     0.5942 0.000 0.248 0.000 0.752
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     4  0.1474     0.7951 0.000 0.052 0.000 0.948
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.4283     0.6403 0.256 0.000 0.740 0.004
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000     0.8596 0.000 1.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000     0.9821 0.000 0.000 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000     0.9821 0.000 0.000 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     5  0.3109      0.705 0.000 0.200 0.000 0.000 0.800
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.6526      0.465 0.464 0.000 0.212 0.324 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0324      0.952 0.000 0.992 0.000 0.004 0.004
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0404      0.979 0.000 0.000 0.988 0.012 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.3932      0.767 0.000 0.000 0.000 0.672 0.328
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0404      0.979 0.000 0.000 0.988 0.012 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.3857      0.764 0.688 0.000 0.000 0.312 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     5  0.4192      0.429 0.000 0.404 0.000 0.000 0.596
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     5  0.1544      0.752 0.000 0.068 0.000 0.000 0.932
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.3857      0.764 0.688 0.000 0.000 0.312 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.1965      0.886 0.904 0.000 0.000 0.096 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     5  0.1544      0.752 0.000 0.068 0.000 0.000 0.932
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     5  0.3242      0.695 0.000 0.216 0.000 0.000 0.784
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.955 0.000 1.000 0.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     5  0.0963      0.744 0.000 0.036 0.000 0.000 0.964
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.955 0.000 1.000 0.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     5  0.1043      0.746 0.000 0.040 0.000 0.000 0.960
#> 667C5809-4A62-4344-9854-CE5703C99FDA     5  0.2329      0.615 0.000 0.000 0.000 0.124 0.876
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0324      0.952 0.000 0.992 0.000 0.004 0.004
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.4852      0.752 0.716 0.000 0.100 0.184 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.955 0.000 1.000 0.000 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0162      0.954 0.000 0.996 0.000 0.004 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0404      0.979 0.000 0.000 0.988 0.012 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.4294      0.641 0.000 0.000 0.000 0.532 0.468
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0290      0.980 0.000 0.000 0.992 0.008 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0290      0.980 0.000 0.000 0.992 0.008 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.955 0.000 1.000 0.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.4262      0.682 0.000 0.000 0.000 0.560 0.440
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     5  0.0963      0.744 0.000 0.036 0.000 0.000 0.964
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.3913      0.767 0.000 0.000 0.000 0.676 0.324
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.2929      0.847 0.820 0.000 0.000 0.180 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.4030      0.755 0.000 0.000 0.000 0.648 0.352
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0290      0.980 0.000 0.000 0.992 0.008 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     5  0.4334      0.684 0.000 0.140 0.000 0.092 0.768
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.3932      0.767 0.000 0.000 0.000 0.672 0.328
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0324      0.952 0.000 0.992 0.000 0.004 0.004
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.955 0.000 1.000 0.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.1270      0.902 0.948 0.000 0.000 0.052 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     5  0.1544      0.752 0.000 0.068 0.000 0.000 0.932
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     5  0.0609      0.733 0.000 0.020 0.000 0.000 0.980
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0880      0.965 0.000 0.000 0.968 0.032 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0451      0.950 0.000 0.988 0.000 0.004 0.008
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.5353      0.688 0.000 0.072 0.000 0.600 0.328
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.955 0.000 1.000 0.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.5066      0.351 0.000 0.608 0.000 0.344 0.048
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.5329      0.405 0.000 0.336 0.000 0.596 0.068
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     5  0.3386      0.663 0.000 0.040 0.000 0.128 0.832
#> 1339CB34-B996-470A-9710-0649DD05D18A     5  0.2424      0.607 0.000 0.000 0.000 0.132 0.868
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.2648      0.796 0.000 0.848 0.000 0.000 0.152
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0290      0.980 0.000 0.000 0.992 0.008 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.3857      0.764 0.688 0.000 0.000 0.312 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.4307      0.584 0.000 0.000 0.000 0.504 0.496
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0290      0.980 0.000 0.000 0.992 0.008 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.955 0.000 1.000 0.000 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.955 0.000 1.000 0.000 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.955 0.000 1.000 0.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     4  0.4477      0.285 0.040 0.000 0.252 0.708 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     5  0.4425      0.305 0.000 0.452 0.000 0.004 0.544
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0404      0.979 0.000 0.000 0.988 0.012 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.3177      0.831 0.792 0.000 0.000 0.208 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.3857      0.764 0.688 0.000 0.000 0.312 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.3932      0.767 0.000 0.000 0.000 0.672 0.328
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0162      0.954 0.000 0.996 0.000 0.004 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     5  0.2536      0.620 0.000 0.004 0.000 0.128 0.868
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.1043      0.905 0.960 0.000 0.000 0.040 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     5  0.2488      0.622 0.000 0.004 0.000 0.124 0.872
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0290      0.980 0.000 0.000 0.992 0.008 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     5  0.1671      0.752 0.000 0.076 0.000 0.000 0.924
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.955 0.000 1.000 0.000 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.3932      0.767 0.000 0.000 0.000 0.672 0.328
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0324      0.952 0.000 0.992 0.000 0.004 0.004
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.3857      0.764 0.688 0.000 0.000 0.312 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     5  0.2825      0.638 0.000 0.016 0.000 0.124 0.860
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.1197      0.903 0.952 0.000 0.000 0.048 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     5  0.1197      0.749 0.000 0.048 0.000 0.000 0.952
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.1965      0.839 0.904 0.000 0.096 0.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.4249      0.533 0.000 0.688 0.000 0.296 0.016
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     5  0.3913      0.574 0.000 0.324 0.000 0.000 0.676
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0162      0.981 0.000 0.000 0.996 0.004 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0162      0.954 0.000 0.996 0.000 0.004 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0162      0.954 0.000 0.996 0.000 0.004 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     5  0.3242      0.695 0.000 0.216 0.000 0.000 0.784
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0290      0.980 0.000 0.000 0.992 0.008 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     5  0.4020      0.666 0.000 0.096 0.000 0.108 0.796
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0404      0.979 0.000 0.000 0.988 0.012 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.3796      0.772 0.700 0.000 0.000 0.300 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0510      0.972 0.000 0.000 0.984 0.016 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.2732      0.855 0.840 0.000 0.000 0.160 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     5  0.3242      0.695 0.000 0.216 0.000 0.000 0.784
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     5  0.2424      0.603 0.000 0.000 0.000 0.132 0.868
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.2891      0.848 0.824 0.000 0.000 0.176 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.3913      0.767 0.000 0.000 0.000 0.676 0.324
#> 16A70057-AF47-4934-992E-3E9CF6E74684     5  0.0671      0.728 0.000 0.016 0.000 0.004 0.980
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.916 1.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0671      0.944 0.000 0.980 0.000 0.004 0.016
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.2424      0.823 0.000 0.868 0.000 0.000 0.132
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.4256      0.687 0.000 0.000 0.000 0.564 0.436
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.2280      0.880 0.000 0.000 0.880 0.120 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.5315      0.408 0.000 0.332 0.000 0.600 0.068
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     5  0.2773      0.723 0.000 0.164 0.000 0.000 0.836
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.955 0.000 1.000 0.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0290      0.980 0.000 0.000 0.992 0.008 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.955 0.000 1.000 0.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.2338      0.847 0.000 0.884 0.000 0.004 0.112
#> 4022B5D9-8B67-45C3-867B-A72129500F86     5  0.4227      0.398 0.000 0.420 0.000 0.000 0.580
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     5  0.2424      0.603 0.000 0.000 0.000 0.132 0.868
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.955 0.000 1.000 0.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.955 0.000 1.000 0.000 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     5  0.3242      0.695 0.000 0.216 0.000 0.000 0.784
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.5541      0.618 0.000 0.188 0.000 0.648 0.164
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     5  0.2329      0.615 0.000 0.000 0.000 0.124 0.876
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.5490      0.492 0.084 0.000 0.592 0.324 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.955 0.000 1.000 0.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.1270      0.947 0.000 0.000 0.948 0.052 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      0.982 0.000 0.000 1.000 0.000 0.000

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     5  0.1556     0.7247 0.000 0.080 0.000 0.000 0.920 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.1844     0.9172 0.000 0.000 0.924 0.024 0.004 0.048
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     6  0.3367     0.7264 0.104 0.000 0.080 0.000 0.000 0.816
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.1806     0.8890 0.000 0.928 0.000 0.044 0.008 0.020
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.1327     0.9194 0.000 0.000 0.936 0.000 0.000 0.064
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.1663     0.7531 0.000 0.000 0.000 0.912 0.088 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.1555     0.9307 0.000 0.000 0.932 0.004 0.004 0.060
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     6  0.3050     0.7720 0.236 0.000 0.000 0.000 0.000 0.764
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.2461     0.9025 0.000 0.000 0.888 0.044 0.004 0.064
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.2263     0.9082 0.000 0.000 0.900 0.036 0.004 0.060
#> 1709294C-7194-493D-AF5C-574927F57C0C     5  0.2941     0.6348 0.000 0.220 0.000 0.000 0.780 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     5  0.0146     0.7386 0.000 0.004 0.000 0.000 0.996 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     6  0.3151     0.7594 0.252 0.000 0.000 0.000 0.000 0.748
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.2454     0.7475 0.840 0.000 0.000 0.000 0.000 0.160
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     5  0.0146     0.7386 0.000 0.004 0.000 0.000 0.996 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     5  0.2416     0.6887 0.000 0.156 0.000 0.000 0.844 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.9079 0.000 1.000 0.000 0.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     5  0.0405     0.7381 0.000 0.004 0.000 0.000 0.988 0.008
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.9079 0.000 1.000 0.000 0.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     5  0.0405     0.7381 0.000 0.004 0.000 0.000 0.988 0.008
#> 667C5809-4A62-4344-9854-CE5703C99FDA     5  0.4873     0.4216 0.000 0.000 0.000 0.268 0.632 0.100
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.1737     0.8905 0.000 0.932 0.000 0.040 0.008 0.020
#> 00B1B6C5-C4C1-4248-8879-F30727137391     6  0.4243     0.7047 0.272 0.000 0.032 0.008 0.000 0.688
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.9340 0.000 0.000 1.000 0.000 0.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0260     0.9065 0.000 0.992 0.000 0.000 0.008 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.1461     0.8924 0.000 0.940 0.000 0.044 0.000 0.016
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.1141     0.9249 0.000 0.000 0.948 0.000 0.000 0.052
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.2461     0.9025 0.000 0.000 0.888 0.044 0.004 0.064
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.5193     0.4101 0.000 0.000 0.000 0.552 0.344 0.104
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0713     0.9319 0.000 0.000 0.972 0.000 0.000 0.028
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.2461     0.9025 0.000 0.000 0.888 0.044 0.004 0.064
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.1007     0.9279 0.000 0.000 0.956 0.000 0.000 0.044
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.9079 0.000 1.000 0.000 0.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.4813     0.5910 0.000 0.000 0.000 0.648 0.248 0.104
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     5  0.0405     0.7381 0.000 0.004 0.000 0.000 0.988 0.008
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.2128     0.9113 0.000 0.000 0.908 0.032 0.004 0.056
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.1265     0.7468 0.000 0.000 0.000 0.948 0.044 0.008
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     6  0.3817     0.4846 0.432 0.000 0.000 0.000 0.000 0.568
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.3645     0.7042 0.000 0.000 0.000 0.784 0.152 0.064
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0547     0.9333 0.000 0.000 0.980 0.000 0.000 0.020
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.1429     0.9321 0.000 0.000 0.940 0.004 0.004 0.052
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     5  0.3092     0.6768 0.000 0.060 0.000 0.104 0.836 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.1663     0.7531 0.000 0.000 0.000 0.912 0.088 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9340 0.000 0.000 1.000 0.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.1806     0.8890 0.000 0.928 0.000 0.044 0.008 0.020
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.9079 0.000 1.000 0.000 0.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.1141     0.8869 0.948 0.000 0.000 0.000 0.000 0.052
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     5  0.0146     0.7386 0.000 0.004 0.000 0.000 0.996 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     5  0.0405     0.7381 0.000 0.004 0.000 0.000 0.988 0.008
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.3126     0.7021 0.000 0.000 0.752 0.000 0.000 0.248
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.2089     0.8825 0.000 0.916 0.000 0.044 0.020 0.020
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.3583     0.7150 0.000 0.032 0.000 0.820 0.108 0.040
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.9079 0.000 1.000 0.000 0.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.4209     0.2342 0.000 0.396 0.000 0.588 0.004 0.012
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.3426     0.5276 0.000 0.276 0.000 0.720 0.000 0.004
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     5  0.5357     0.4003 0.000 0.008 0.000 0.280 0.592 0.120
#> 1339CB34-B996-470A-9710-0649DD05D18A     5  0.5148     0.3749 0.000 0.000 0.000 0.296 0.588 0.116
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.3727     0.3796 0.000 0.612 0.000 0.000 0.388 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9340 0.000 0.000 1.000 0.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.1141     0.9258 0.000 0.000 0.948 0.000 0.000 0.052
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     6  0.3050     0.7720 0.236 0.000 0.000 0.000 0.000 0.764
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.5300     0.3676 0.000 0.000 0.000 0.540 0.344 0.116
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.9340 0.000 0.000 1.000 0.000 0.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0547     0.9333 0.000 0.000 0.980 0.000 0.000 0.020
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0146     0.9073 0.000 0.996 0.000 0.000 0.004 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0260     0.9065 0.000 0.992 0.000 0.000 0.008 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.9340 0.000 0.000 1.000 0.000 0.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000     0.9079 0.000 1.000 0.000 0.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     6  0.2426     0.6259 0.012 0.000 0.092 0.012 0.000 0.884
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     5  0.4675     0.5258 0.000 0.280 0.000 0.040 0.660 0.020
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.1141     0.9249 0.000 0.000 0.948 0.000 0.000 0.052
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.3868    -0.3288 0.504 0.000 0.000 0.000 0.000 0.496
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     6  0.3050     0.7720 0.236 0.000 0.000 0.000 0.000 0.764
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.1663     0.7531 0.000 0.000 0.000 0.912 0.088 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.1391     0.8939 0.000 0.944 0.000 0.040 0.000 0.016
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     5  0.5169     0.3835 0.000 0.000 0.000 0.292 0.588 0.120
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.3198     0.5040 0.740 0.000 0.000 0.000 0.000 0.260
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     5  0.4952     0.4272 0.000 0.000 0.000 0.252 0.632 0.116
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0713     0.9319 0.000 0.000 0.972 0.000 0.000 0.028
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     5  0.0363     0.7387 0.000 0.012 0.000 0.000 0.988 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0713     0.8962 0.000 0.972 0.000 0.000 0.028 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.1663     0.7531 0.000 0.000 0.000 0.912 0.088 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9340 0.000 0.000 1.000 0.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.2020     0.8842 0.000 0.920 0.000 0.040 0.020 0.020
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     6  0.3076     0.7696 0.240 0.000 0.000 0.000 0.000 0.760
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     5  0.4952     0.4313 0.000 0.000 0.000 0.252 0.632 0.116
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.1075     0.8902 0.952 0.000 0.000 0.000 0.000 0.048
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     5  0.0405     0.7381 0.000 0.004 0.000 0.000 0.988 0.008
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.3405     0.7228 0.844 0.000 0.060 0.028 0.004 0.064
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.3868    -0.0642 0.000 0.504 0.000 0.496 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     5  0.2823     0.6486 0.000 0.204 0.000 0.000 0.796 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0632     0.9327 0.000 0.000 0.976 0.000 0.000 0.024
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.1461     0.8924 0.000 0.940 0.000 0.044 0.000 0.016
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0891     0.9017 0.000 0.968 0.000 0.024 0.000 0.008
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     5  0.2416     0.6887 0.000 0.156 0.000 0.000 0.844 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.1007     0.9279 0.000 0.000 0.956 0.000 0.000 0.044
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     5  0.3817     0.5231 0.000 0.028 0.000 0.252 0.720 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.1141     0.9248 0.000 0.000 0.948 0.000 0.000 0.052
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.2322     0.9062 0.000 0.000 0.896 0.036 0.004 0.064
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     6  0.3817     0.4473 0.432 0.000 0.000 0.000 0.000 0.568
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.4245     0.6887 0.000 0.000 0.696 0.044 0.004 0.256
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.9340 0.000 0.000 1.000 0.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.2378     0.7672 0.848 0.000 0.000 0.000 0.000 0.152
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     5  0.3176     0.6731 0.000 0.156 0.000 0.032 0.812 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     5  0.4963     0.3836 0.000 0.000 0.000 0.288 0.612 0.100
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.2854     0.6748 0.792 0.000 0.000 0.000 0.000 0.208
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.2608     0.7442 0.000 0.000 0.000 0.872 0.048 0.080
#> 16A70057-AF47-4934-992E-3E9CF6E74684     5  0.1092     0.7252 0.000 0.000 0.000 0.020 0.960 0.020
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9322 1.000 0.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.2450     0.8696 0.000 0.896 0.000 0.040 0.048 0.016
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.1844     0.9172 0.000 0.000 0.924 0.024 0.004 0.048
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.3620     0.4565 0.000 0.648 0.000 0.000 0.352 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.4813     0.5910 0.000 0.000 0.000 0.648 0.248 0.104
#> 864194B9-3525-439D-84A4-EA257300335C     6  0.4419     0.0742 0.000 0.000 0.384 0.032 0.000 0.584
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.2461     0.9025 0.000 0.000 0.888 0.044 0.004 0.064
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.3534     0.5427 0.000 0.244 0.000 0.740 0.000 0.016
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     5  0.1267     0.7308 0.000 0.060 0.000 0.000 0.940 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     0.9079 0.000 1.000 0.000 0.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0937     0.9286 0.000 0.000 0.960 0.000 0.000 0.040
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0260     0.9065 0.000 0.992 0.000 0.000 0.008 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.3993     0.6002 0.000 0.700 0.000 0.024 0.272 0.004
#> 4022B5D9-8B67-45C3-867B-A72129500F86     5  0.3288     0.5737 0.000 0.276 0.000 0.000 0.724 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     5  0.5003     0.3787 0.000 0.000 0.000 0.288 0.608 0.104
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.9079 0.000 1.000 0.000 0.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0260     0.9065 0.000 0.992 0.000 0.000 0.008 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.2189     0.9098 0.000 0.000 0.904 0.032 0.004 0.060
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     5  0.2416     0.6887 0.000 0.156 0.000 0.000 0.844 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.2925     0.7008 0.000 0.104 0.000 0.856 0.024 0.016
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     5  0.4873     0.4216 0.000 0.000 0.000 0.268 0.632 0.100
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     6  0.3023     0.6493 0.032 0.000 0.140 0.000 0.000 0.828
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.2128     0.9113 0.000 0.000 0.908 0.032 0.004 0.056
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000     0.9079 0.000 1.000 0.000 0.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.2048     0.8724 0.000 0.000 0.880 0.000 0.000 0.120
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.2461     0.9025 0.000 0.000 0.888 0.044 0.004 0.064

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-MAD-skmeans-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-MAD-skmeans-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-MAD-skmeans-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-MAD-skmeans-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-MAD-skmeans-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-MAD-skmeans-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-MAD-skmeans-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-MAD-skmeans-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-MAD-skmeans-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-MAD-skmeans-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-MAD-skmeans-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-MAD-skmeans-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-MAD-skmeans-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-MAD-skmeans-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-MAD-skmeans-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-MAD-skmeans-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-MAD-skmeans-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-MAD-skmeans-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-MAD-skmeans-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-MAD-skmeans-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk MAD-skmeans-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-MAD-skmeans-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-MAD-skmeans-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-MAD-skmeans-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-MAD-skmeans-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-MAD-skmeans-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk MAD-skmeans-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


MAD:pam**

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["MAD", "pam"]
# you can also extract it by
# res = res_list["MAD:pam"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#>   Subgroups are detected by 'pam' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 3.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk MAD-pam-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk MAD-pam-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 1.000           0.996       0.998         0.5034 0.497   0.497
#> 3 3 1.000           0.987       0.995         0.2617 0.868   0.734
#> 4 4 0.852           0.872       0.921         0.1756 0.883   0.678
#> 5 5 0.887           0.872       0.894         0.0556 0.960   0.840
#> 6 6 0.897           0.863       0.913         0.0468 0.946   0.757

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2

There is also optional best \(k\) = 2 that is worth to check.

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette    p1    p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.998 1.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.999 0.000 1.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1  0.0000      0.998 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.998 1.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.0000      0.998 1.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.999 0.000 1.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1  0.0000      0.998 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0000      0.999 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1  0.0000      0.998 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000      0.998 1.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     1  0.0000      0.998 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     1  0.0000      0.998 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.999 0.000 1.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.998 1.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.999 0.000 1.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      0.998 1.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      0.998 1.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.999 0.000 1.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.999 0.000 1.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.999 0.000 1.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.999 0.000 1.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.999 0.000 1.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.999 0.000 1.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      0.999 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.999 0.000 1.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0000      0.998 1.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1  0.0000      0.998 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.999 0.000 1.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.998 1.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.999 0.000 1.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1  0.0000      0.998 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1  0.0000      0.998 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.0000      0.999 0.000 1.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1  0.0000      0.998 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1  0.0000      0.998 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.998 1.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1  0.0000      0.998 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.999 0.000 1.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000      0.999 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      0.999 0.000 1.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.998 1.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1  0.0000      0.998 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.4690      0.889 0.100 0.900
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.998 1.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000      0.999 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1  0.0000      0.998 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1  0.0000      0.998 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.998 1.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      0.999 0.000 1.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0938      0.987 0.012 0.988
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1  0.0000      0.998 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.999 0.000 1.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.999 0.000 1.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.998 1.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.999 0.000 1.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      0.999 0.000 1.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1  0.0000      0.998 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.999 0.000 1.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      0.999 0.000 1.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.999 0.000 1.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.998 1.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      0.999 0.000 1.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.998 1.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      0.999 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.998 1.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      0.999 0.000 1.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      0.999 0.000 1.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.999 0.000 1.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     1  0.0000      0.998 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1  0.0000      0.998 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.998 1.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000      0.998 1.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.998 1.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000      0.999 0.000 1.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1  0.0000      0.998 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1  0.0000      0.998 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.999 0.000 1.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.999 0.000 1.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.998 1.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     1  0.0000      0.998 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.999 0.000 1.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.0000      0.998 1.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.999 0.000 1.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1  0.0000      0.998 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      0.998 1.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000      0.998 1.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000      0.999 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.999 0.000 1.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      0.999 0.000 1.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      0.998 1.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      0.999 0.000 1.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1  0.0000      0.998 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.999 0.000 1.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.999 0.000 1.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000      0.999 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.998 1.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.998 1.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     1  0.0000      0.998 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.999 0.000 1.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      0.998 1.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      0.999 0.000 1.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.998 1.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.999 0.000 1.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.0000      0.998 1.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.998 1.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      0.999 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.998 1.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.999 0.000 1.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.998 1.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1  0.6048      0.826 0.852 0.148
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      0.999 0.000 1.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.999 0.000 1.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.998 1.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.999 0.000 1.000
#> 86689648-2C4A-456F-A551-B9731400846C     1  0.0000      0.998 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.998 1.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      0.999 0.000 1.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     1  0.0000      0.998 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1  0.0000      0.998 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.998 1.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      0.998 1.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.0000      0.998 1.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1  0.0000      0.998 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.998 1.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      0.998 1.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.999 0.000 1.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000      0.999 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      0.998 1.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      0.999 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      0.999 0.000 1.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.998 1.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.999 0.000 1.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1  0.0000      0.998 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      0.999 0.000 1.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000      0.999 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.0000      0.998 1.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1  0.0000      0.998 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      0.999 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.999 0.000 1.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.999 0.000 1.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1  0.0000      0.998 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.999 0.000 1.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.999 0.000 1.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      0.999 0.000 1.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      0.999 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.999 0.000 1.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.999 0.000 1.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1  0.0000      0.998 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      0.999 0.000 1.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      0.999 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      0.999 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.0000      0.998 1.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1  0.0000      0.998 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.999 0.000 1.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     1  0.0000      0.998 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1  0.0000      0.998 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1    p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      1.000 1.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      1.000 0.000 1.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      0.978 0.000 0.000 1.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      1.000 1.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.0000      1.000 1.000 0.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      1.000 0.000 1.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.978 0.000 0.000 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0000      1.000 0.000 1.000 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000      0.978 0.000 0.000 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000      1.000 1.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000      0.978 0.000 0.000 1.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      0.978 0.000 0.000 1.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      1.000 0.000 1.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      1.000 1.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      1.000 0.000 1.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      1.000 1.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      1.000 1.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      1.000 0.000 1.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      1.000 0.000 1.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      1.000 0.000 1.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      1.000 0.000 1.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      1.000 0.000 1.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      1.000 0.000 1.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      1.000 0.000 1.000 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      1.000 0.000 1.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0000      1.000 1.000 0.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.978 0.000 0.000 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      1.000 0.000 1.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      1.000 1.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      1.000 0.000 1.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      0.978 0.000 0.000 1.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0000      0.978 0.000 0.000 1.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.0000      1.000 0.000 1.000 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.978 0.000 0.000 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0000      0.978 0.000 0.000 1.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      1.000 1.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.978 0.000 0.000 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      1.000 0.000 1.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000      1.000 0.000 1.000 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      1.000 0.000 1.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      1.000 1.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      0.978 0.000 0.000 1.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0424      0.992 0.008 0.992 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      1.000 1.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000      1.000 0.000 1.000 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.978 0.000 0.000 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      0.978 0.000 0.000 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      1.000 1.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      1.000 0.000 1.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000      1.000 0.000 1.000 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.978 0.000 0.000 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      1.000 0.000 1.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      1.000 0.000 1.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      1.000 1.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      1.000 0.000 1.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      1.000 0.000 1.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000      0.978 0.000 0.000 1.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      1.000 0.000 1.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      1.000 0.000 1.000 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      1.000 0.000 1.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      1.000 1.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      1.000 0.000 1.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      1.000 1.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      1.000 0.000 1.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      1.000 1.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      1.000 0.000 1.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      1.000 0.000 1.000 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      1.000 0.000 1.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.978 0.000 0.000 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.978 0.000 0.000 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      1.000 1.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000      1.000 1.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      1.000 1.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000      1.000 0.000 1.000 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.978 0.000 0.000 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.978 0.000 0.000 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      1.000 0.000 1.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      1.000 0.000 1.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      1.000 1.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.978 0.000 0.000 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      1.000 0.000 1.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     3  0.5905      0.476 0.352 0.000 0.648
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      1.000 0.000 1.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000      0.978 0.000 0.000 1.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      1.000 1.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000      1.000 1.000 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000      1.000 0.000 1.000 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      1.000 0.000 1.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      1.000 0.000 1.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      1.000 1.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      1.000 0.000 1.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.978 0.000 0.000 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      1.000 0.000 1.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      1.000 0.000 1.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000      1.000 0.000 1.000 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      1.000 1.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      1.000 1.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.978 0.000 0.000 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      1.000 0.000 1.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      1.000 1.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      1.000 0.000 1.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      1.000 1.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      1.000 0.000 1.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.0000      1.000 1.000 0.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      1.000 1.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      1.000 0.000 1.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      1.000 1.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      1.000 0.000 1.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      1.000 1.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.3482      0.828 0.000 0.128 0.872
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      1.000 0.000 1.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      1.000 0.000 1.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      1.000 1.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      1.000 0.000 1.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      0.978 0.000 0.000 1.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      1.000 1.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      1.000 0.000 1.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      0.978 0.000 0.000 1.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      0.978 0.000 0.000 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      1.000 1.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      1.000 1.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0000      0.978 0.000 0.000 1.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.978 0.000 0.000 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      1.000 1.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      1.000 1.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      1.000 0.000 1.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000      1.000 0.000 1.000 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      1.000 1.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      1.000 0.000 1.000 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      1.000 0.000 1.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      1.000 1.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      1.000 0.000 1.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      0.978 0.000 0.000 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      1.000 0.000 1.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000      1.000 0.000 1.000 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.3116      0.871 0.108 0.000 0.892
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000      0.978 0.000 0.000 1.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      1.000 0.000 1.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      1.000 0.000 1.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      1.000 0.000 1.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      0.978 0.000 0.000 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      1.000 0.000 1.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      1.000 0.000 1.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      1.000 0.000 1.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      1.000 0.000 1.000 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      1.000 0.000 1.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      1.000 0.000 1.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      0.978 0.000 0.000 1.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      1.000 0.000 1.000 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      1.000 0.000 1.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      1.000 0.000 1.000 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.5098      0.679 0.248 0.000 0.752
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      0.978 0.000 0.000 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      1.000 0.000 1.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      0.978 0.000 0.000 1.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      0.978 0.000 0.000 1.000

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     4  0.3873      0.820 0.000 0.228 0.000 0.772
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0921      0.883 0.000 0.972 0.000 0.028
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.0000      0.735 0.000 0.000 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     4  0.3873      0.820 0.000 0.228 0.000 0.772
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     4  0.3873      0.820 0.000 0.228 0.000 0.772
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     4  0.3873      0.820 0.000 0.228 0.000 0.772
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     4  0.3873      0.820 0.000 0.228 0.000 0.772
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.895 0.000 1.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     4  0.3688      0.819 0.000 0.208 0.000 0.792
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.895 0.000 1.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     4  0.3873      0.820 0.000 0.228 0.000 0.772
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.3444      0.818 0.000 0.184 0.000 0.816
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0921      0.883 0.000 0.972 0.000 0.028
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.3726      0.629 0.000 0.788 0.000 0.212
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.895 0.000 1.000 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.0000      0.735 0.000 0.000 0.000 1.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0921      0.883 0.000 0.972 0.000 0.028
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0000      0.735 0.000 0.000 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     4  0.3610      0.818 0.000 0.200 0.000 0.800
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.5465      0.141 0.020 0.392 0.000 0.588
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.0000      0.735 0.000 0.000 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     4  0.3873      0.820 0.000 0.228 0.000 0.772
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.0000      0.735 0.000 0.000 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0921      0.883 0.000 0.972 0.000 0.028
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.895 0.000 1.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     4  0.3873      0.820 0.000 0.228 0.000 0.772
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     4  0.3837      0.820 0.000 0.224 0.000 0.776
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0469      0.891 0.000 0.988 0.000 0.012
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.4888      0.599 0.000 0.412 0.000 0.588
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.895 0.000 1.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.3873      0.689 0.000 0.772 0.000 0.228
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.3801      0.697 0.000 0.780 0.000 0.220
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.3219      0.706 0.000 0.836 0.000 0.164
#> 1339CB34-B996-470A-9710-0649DD05D18A     4  0.4888      0.599 0.000 0.412 0.000 0.588
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.4250      0.491 0.000 0.724 0.000 0.276
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.4888      0.599 0.000 0.412 0.000 0.588
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.895 0.000 1.000 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.895 0.000 1.000 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.895 0.000 1.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     3  0.4661      0.486 0.348 0.000 0.652 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     4  0.4008      0.812 0.000 0.244 0.000 0.756
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.0000      0.735 0.000 0.000 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.895 0.000 1.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     4  0.4866      0.603 0.000 0.404 0.000 0.596
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     4  0.3444      0.818 0.000 0.184 0.000 0.816
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     4  0.3873      0.820 0.000 0.228 0.000 0.772
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.3726      0.629 0.000 0.788 0.000 0.212
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.0000      0.735 0.000 0.000 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0921      0.883 0.000 0.972 0.000 0.028
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     4  0.3444      0.818 0.000 0.184 0.000 0.816
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     4  0.3873      0.820 0.000 0.228 0.000 0.772
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.3610      0.707 0.000 0.800 0.000 0.200
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     4  0.4985      0.371 0.000 0.468 0.000 0.532
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.1118      0.944 0.000 0.036 0.964 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0707      0.887 0.000 0.980 0.000 0.020
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.895 0.000 1.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     4  0.3873      0.820 0.000 0.228 0.000 0.772
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.4948      0.586 0.000 0.440 0.000 0.560
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     4  0.3873      0.820 0.000 0.228 0.000 0.772
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.1118      0.755 0.000 0.036 0.000 0.964
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.4761      0.237 0.000 0.372 0.000 0.628
#> 16A70057-AF47-4934-992E-3E9CF6E74684     4  0.3610      0.818 0.000 0.200 0.000 0.800
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      1.000 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.895 0.000 1.000 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.3726      0.629 0.000 0.788 0.000 0.212
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0000      0.735 0.000 0.000 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.2469      0.872 0.108 0.000 0.892 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.3873      0.689 0.000 0.772 0.000 0.228
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     4  0.3873      0.820 0.000 0.228 0.000 0.772
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.895 0.000 1.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.895 0.000 1.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.3726      0.629 0.000 0.788 0.000 0.212
#> 4022B5D9-8B67-45C3-867B-A72129500F86     4  0.3873      0.820 0.000 0.228 0.000 0.772
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.0469      0.742 0.000 0.012 0.000 0.988
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.895 0.000 1.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.895 0.000 1.000 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     4  0.4941      0.593 0.000 0.436 0.000 0.564
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.4843      0.164 0.000 0.396 0.000 0.604
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     4  0.3444      0.818 0.000 0.184 0.000 0.816
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.4040      0.680 0.248 0.000 0.752 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.895 0.000 1.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      0.980 0.000 0.000 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      0.980 0.000 0.000 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.2852     0.8837 0.828 0.000 0.000 0.172 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     5  0.0963     0.9267 0.000 0.036 0.000 0.000 0.964
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0880     0.9411 0.000 0.000 0.968 0.032 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.8833 1.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.3561     0.8659 0.740 0.000 0.000 0.260 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0671     0.9374 0.000 0.980 0.000 0.004 0.016
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0290     0.9411 0.000 0.000 0.992 0.008 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.3774     0.7528 0.000 0.000 0.000 0.704 0.296
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0880     0.9306 0.000 0.000 0.968 0.032 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.3508     0.8705 0.748 0.000 0.000 0.252 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0703     0.9427 0.000 0.000 0.976 0.024 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0880     0.9411 0.000 0.000 0.968 0.032 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     5  0.0963     0.9267 0.000 0.036 0.000 0.000 0.964
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.8833 1.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     5  0.0963     0.9267 0.000 0.036 0.000 0.000 0.964
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.3508     0.8705 0.748 0.000 0.000 0.252 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.3508     0.8705 0.748 0.000 0.000 0.252 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     5  0.0963     0.9267 0.000 0.036 0.000 0.000 0.964
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     5  0.0963     0.9267 0.000 0.036 0.000 0.000 0.964
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0290     0.9455 0.000 0.992 0.000 0.000 0.008
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     5  0.0865     0.9235 0.000 0.024 0.000 0.004 0.972
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.9472 0.000 1.000 0.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     5  0.0963     0.9267 0.000 0.036 0.000 0.000 0.964
#> 667C5809-4A62-4344-9854-CE5703C99FDA     5  0.1638     0.8915 0.000 0.004 0.000 0.064 0.932
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0671     0.9374 0.000 0.980 0.000 0.004 0.016
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.3534     0.8683 0.744 0.000 0.000 0.256 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0794     0.9418 0.000 0.000 0.972 0.028 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.1197     0.9189 0.000 0.952 0.000 0.000 0.048
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.8833 1.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0162     0.9471 0.000 0.996 0.000 0.004 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.1544     0.9065 0.000 0.000 0.932 0.068 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.1043     0.9407 0.000 0.000 0.960 0.040 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     5  0.1671     0.8771 0.000 0.000 0.000 0.076 0.924
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9421 0.000 0.000 1.000 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0794     0.9423 0.000 0.000 0.972 0.028 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.8833 1.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0290     0.9411 0.000 0.000 0.992 0.008 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0671     0.9374 0.000 0.980 0.000 0.004 0.016
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.3774     0.7528 0.000 0.000 0.000 0.704 0.296
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     5  0.1648     0.9138 0.000 0.020 0.000 0.040 0.940
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.8833 1.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0880     0.9411 0.000 0.000 0.968 0.032 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.4848     0.7729 0.000 0.132 0.000 0.724 0.144
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.3508     0.8705 0.748 0.000 0.000 0.252 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.3837     0.7466 0.000 0.000 0.000 0.692 0.308
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9421 0.000 0.000 1.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0290     0.9411 0.000 0.000 0.992 0.008 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.8833 1.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     5  0.0963     0.9267 0.000 0.036 0.000 0.000 0.964
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.3774     0.7528 0.000 0.000 0.000 0.704 0.296
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0162     0.9423 0.000 0.000 0.996 0.004 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0671     0.9374 0.000 0.980 0.000 0.004 0.016
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.9472 0.000 1.000 0.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.2605     0.8833 0.852 0.000 0.000 0.148 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     5  0.1836     0.9203 0.000 0.036 0.000 0.032 0.932
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     5  0.1041     0.9258 0.000 0.032 0.000 0.004 0.964
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.3561     0.7121 0.000 0.000 0.740 0.260 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0324     0.9457 0.000 0.992 0.000 0.004 0.004
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     5  0.2653     0.8812 0.028 0.052 0.000 0.020 0.900
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0162     0.9471 0.000 0.996 0.000 0.004 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.8833 1.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.4770     0.5957 0.000 0.320 0.000 0.644 0.036
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0609     0.8844 0.980 0.000 0.000 0.020 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.4592     0.5852 0.000 0.332 0.000 0.644 0.024
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.2732     0.8823 0.840 0.000 0.000 0.160 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.3513     0.6995 0.000 0.800 0.000 0.020 0.180
#> 1339CB34-B996-470A-9710-0649DD05D18A     5  0.2067     0.9067 0.000 0.032 0.000 0.048 0.920
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.4302     0.0587 0.000 0.520 0.000 0.000 0.480
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0162     0.9423 0.000 0.000 0.996 0.004 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0162     0.9417 0.000 0.000 0.996 0.004 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.8833 1.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.3508     0.8705 0.748 0.000 0.000 0.252 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.8833 1.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     5  0.1836     0.9106 0.000 0.036 0.000 0.032 0.932
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0162     0.9423 0.000 0.000 0.996 0.004 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.9421 0.000 0.000 1.000 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000     0.9472 0.000 1.000 0.000 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0510     0.9417 0.000 0.984 0.000 0.000 0.016
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.3508     0.8705 0.748 0.000 0.000 0.252 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0880     0.9411 0.000 0.000 0.968 0.032 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0162     0.9471 0.000 0.996 0.000 0.004 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     3  0.6244     0.3777 0.200 0.000 0.540 0.260 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     5  0.0963     0.9267 0.000 0.036 0.000 0.000 0.964
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.1544     0.9065 0.000 0.000 0.932 0.068 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.3508     0.8705 0.748 0.000 0.000 0.252 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.3508     0.8705 0.748 0.000 0.000 0.252 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.3816     0.7491 0.000 0.000 0.000 0.696 0.304
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0162     0.9471 0.000 0.996 0.000 0.004 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     5  0.2233     0.8767 0.000 0.080 0.000 0.016 0.904
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.3508     0.8705 0.748 0.000 0.000 0.252 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     5  0.2012     0.8872 0.000 0.020 0.000 0.060 0.920
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9421 0.000 0.000 1.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     5  0.0963     0.9267 0.000 0.036 0.000 0.000 0.964
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.1197     0.9189 0.000 0.952 0.000 0.000 0.048
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.3774     0.7528 0.000 0.000 0.000 0.704 0.296
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.8833 1.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.8833 1.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0880     0.9411 0.000 0.000 0.968 0.032 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0671     0.9374 0.000 0.980 0.000 0.004 0.016
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.3452     0.8726 0.756 0.000 0.000 0.244 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     5  0.1638     0.8915 0.000 0.004 0.000 0.064 0.932
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.3508     0.8705 0.748 0.000 0.000 0.252 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     5  0.0963     0.9267 0.000 0.036 0.000 0.000 0.964
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.3730     0.8485 0.712 0.000 0.000 0.288 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.3143     0.8796 0.796 0.000 0.000 0.204 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     4  0.4663     0.5107 0.000 0.376 0.000 0.604 0.020
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.8833 1.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     5  0.4249     0.4961 0.000 0.296 0.000 0.016 0.688
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.8833 1.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.2502     0.8901 0.000 0.012 0.904 0.060 0.024
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0451     0.9434 0.000 0.988 0.000 0.004 0.008
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     0.9472 0.000 1.000 0.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.8833 1.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     5  0.0963     0.9267 0.000 0.036 0.000 0.000 0.964
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0162     0.9417 0.000 0.000 0.996 0.004 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.8833 1.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     5  0.5165     0.1296 0.000 0.048 0.000 0.376 0.576
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0290     0.9411 0.000 0.000 0.992 0.008 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0880     0.9411 0.000 0.000 0.968 0.032 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.8833 1.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.3508     0.8705 0.748 0.000 0.000 0.252 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0963     0.9414 0.000 0.000 0.964 0.036 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0880     0.9411 0.000 0.000 0.968 0.032 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.1908     0.8817 0.908 0.000 0.000 0.092 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.3395     0.8741 0.764 0.000 0.000 0.236 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     5  0.0963     0.9267 0.000 0.036 0.000 0.000 0.964
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     5  0.1671     0.8771 0.000 0.000 0.000 0.076 0.924
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.8833 1.000 0.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.5127     0.7745 0.000 0.124 0.000 0.692 0.184
#> 16A70057-AF47-4934-992E-3E9CF6E74684     5  0.2079     0.9030 0.000 0.020 0.000 0.064 0.916
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.8833 1.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.1041     0.9309 0.000 0.964 0.000 0.004 0.032
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0162     0.9417 0.000 0.000 0.996 0.004 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.1608     0.8937 0.000 0.928 0.000 0.000 0.072
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.3774     0.7528 0.000 0.000 0.000 0.704 0.296
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.4616     0.6654 0.036 0.000 0.676 0.288 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0880     0.9411 0.000 0.000 0.968 0.032 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.4770     0.5957 0.000 0.320 0.000 0.644 0.036
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     5  0.0963     0.9267 0.000 0.036 0.000 0.000 0.964
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0162     0.9471 0.000 0.996 0.000 0.004 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0162     0.9417 0.000 0.000 0.996 0.004 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0510     0.9417 0.000 0.984 0.000 0.000 0.016
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0609     0.9409 0.000 0.980 0.000 0.000 0.020
#> 4022B5D9-8B67-45C3-867B-A72129500F86     5  0.0963     0.9267 0.000 0.036 0.000 0.000 0.964
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     5  0.1877     0.8821 0.000 0.012 0.000 0.064 0.924
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.9472 0.000 1.000 0.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0880     0.9326 0.000 0.968 0.000 0.000 0.032
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0963     0.9412 0.000 0.000 0.964 0.036 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     5  0.0963     0.9267 0.000 0.036 0.000 0.000 0.964
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.5577     0.7571 0.000 0.184 0.000 0.644 0.172
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     5  0.1638     0.8915 0.000 0.004 0.000 0.064 0.932
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.5557     0.5687 0.116 0.000 0.624 0.260 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0880     0.9411 0.000 0.000 0.968 0.032 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0404     0.9436 0.000 0.988 0.000 0.000 0.012
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.1908     0.8874 0.000 0.000 0.908 0.092 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0880     0.9411 0.000 0.000 0.968 0.032 0.000

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.3862     0.0533 0.524 0.000 0.000 0.000 0.000 0.476
#> 11C93F5A-2187-484A-805D-BB696C1B9032     5  0.0000     0.9101 0.000 0.000 0.000 0.000 1.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.1141     0.9455 0.000 0.000 0.948 0.052 0.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.2996     0.6380 0.772 0.000 0.000 0.000 0.000 0.228
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     6  0.1204     0.9165 0.056 0.000 0.000 0.000 0.000 0.944
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0363     0.9667 0.000 0.988 0.000 0.012 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.1007     0.9453 0.000 0.000 0.956 0.000 0.000 0.044
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.1327     0.8779 0.000 0.000 0.000 0.936 0.064 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0790     0.9366 0.000 0.000 0.968 0.000 0.000 0.032
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     6  0.1267     0.9180 0.060 0.000 0.000 0.000 0.000 0.940
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0603     0.9474 0.000 0.000 0.980 0.016 0.000 0.004
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.1500     0.9454 0.000 0.000 0.936 0.052 0.000 0.012
#> 1709294C-7194-493D-AF5C-574927F57C0C     5  0.0000     0.9101 0.000 0.000 0.000 0.000 1.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.8690 1.000 0.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     5  0.0000     0.9101 0.000 0.000 0.000 0.000 1.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     6  0.1267     0.9180 0.060 0.000 0.000 0.000 0.000 0.940
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     6  0.1663     0.9085 0.088 0.000 0.000 0.000 0.000 0.912
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     5  0.0000     0.9101 0.000 0.000 0.000 0.000 1.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     5  0.0000     0.9101 0.000 0.000 0.000 0.000 1.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0405     0.9633 0.000 0.988 0.000 0.000 0.008 0.004
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     5  0.0146     0.9098 0.000 0.000 0.000 0.004 0.996 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0146     0.9655 0.000 0.996 0.000 0.000 0.000 0.004
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     5  0.0000     0.9101 0.000 0.000 0.000 0.000 1.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     5  0.2048     0.8770 0.000 0.000 0.000 0.120 0.880 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0363     0.9667 0.000 0.988 0.000 0.012 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     6  0.1267     0.9180 0.060 0.000 0.000 0.000 0.000 0.940
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.1616     0.9470 0.000 0.000 0.932 0.048 0.000 0.020
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.1531     0.9161 0.000 0.928 0.000 0.000 0.068 0.004
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.8690 1.000 0.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0363     0.9667 0.000 0.988 0.000 0.012 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.1957     0.8690 0.000 0.000 0.888 0.000 0.000 0.112
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.1594     0.9420 0.000 0.000 0.932 0.052 0.000 0.016
#> B644962A-DEFE-4169-A39E-EF2141F5125A     5  0.2135     0.8722 0.000 0.000 0.000 0.128 0.872 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.1141     0.9432 0.000 0.000 0.948 0.000 0.000 0.052
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0692     0.9472 0.000 0.000 0.976 0.020 0.000 0.004
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.8690 1.000 0.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.1204     0.9430 0.000 0.000 0.944 0.000 0.000 0.056
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0363     0.9667 0.000 0.988 0.000 0.012 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.1327     0.8779 0.000 0.000 0.000 0.936 0.064 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     5  0.1444     0.8968 0.000 0.000 0.000 0.072 0.928 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.8690 1.000 0.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.1141     0.9455 0.000 0.000 0.948 0.052 0.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.1204     0.8698 0.000 0.056 0.000 0.944 0.000 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     6  0.1610     0.9107 0.084 0.000 0.000 0.000 0.000 0.916
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.1556     0.8729 0.000 0.000 0.000 0.920 0.080 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.1141     0.9432 0.000 0.000 0.948 0.000 0.000 0.052
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0146     0.9464 0.000 0.000 0.996 0.000 0.000 0.004
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0865     0.8516 0.964 0.000 0.000 0.000 0.000 0.036
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     5  0.0000     0.9101 0.000 0.000 0.000 0.000 1.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.1327     0.8779 0.000 0.000 0.000 0.936 0.064 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.1765     0.9436 0.000 0.000 0.924 0.024 0.000 0.052
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0363     0.9667 0.000 0.988 0.000 0.012 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0146     0.9655 0.000 0.996 0.000 0.000 0.000 0.004
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.3126     0.6319 0.752 0.000 0.000 0.000 0.000 0.248
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     5  0.1501     0.8942 0.000 0.000 0.000 0.076 0.924 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     5  0.0260     0.9096 0.000 0.000 0.000 0.008 0.992 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     6  0.1141     0.8743 0.000 0.000 0.052 0.000 0.000 0.948
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0363     0.9667 0.000 0.988 0.000 0.012 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     5  0.2341     0.8714 0.004 0.032 0.000 0.032 0.908 0.024
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0363     0.9667 0.000 0.988 0.000 0.012 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.8690 1.000 0.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.2912     0.7727 0.000 0.216 0.000 0.784 0.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.1204     0.8366 0.944 0.000 0.000 0.000 0.000 0.056
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.2805     0.8241 0.000 0.160 0.000 0.828 0.012 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.3221     0.6078 0.736 0.000 0.000 0.000 0.000 0.264
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.3345     0.7204 0.000 0.788 0.000 0.028 0.184 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     5  0.1858     0.8894 0.000 0.004 0.000 0.092 0.904 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     5  0.3997     0.0199 0.000 0.488 0.000 0.000 0.508 0.004
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.1765     0.9436 0.000 0.000 0.924 0.024 0.000 0.052
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.1007     0.9453 0.000 0.000 0.956 0.000 0.000 0.044
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.8690 1.000 0.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     6  0.1267     0.9180 0.060 0.000 0.000 0.000 0.000 0.940
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.8690 1.000 0.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     5  0.1802     0.8939 0.000 0.012 0.000 0.072 0.916 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.1594     0.9440 0.000 0.000 0.932 0.016 0.000 0.052
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.1141     0.9432 0.000 0.000 0.948 0.000 0.000 0.052
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0146     0.9655 0.000 0.996 0.000 0.000 0.000 0.004
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0405     0.9633 0.000 0.988 0.000 0.000 0.008 0.004
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     6  0.2048     0.8832 0.120 0.000 0.000 0.000 0.000 0.880
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.2066     0.9440 0.000 0.000 0.908 0.052 0.000 0.040
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0363     0.9667 0.000 0.988 0.000 0.012 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     6  0.1442     0.8865 0.012 0.000 0.040 0.004 0.000 0.944
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     5  0.0000     0.9101 0.000 0.000 0.000 0.000 1.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.1957     0.8690 0.000 0.000 0.888 0.000 0.000 0.112
#> 5D916BB7-6B38-414E-875E-2497C91B209A     6  0.1610     0.9107 0.084 0.000 0.000 0.000 0.000 0.916
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     6  0.1267     0.9180 0.060 0.000 0.000 0.000 0.000 0.940
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.1501     0.8750 0.000 0.000 0.000 0.924 0.076 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0363     0.9667 0.000 0.988 0.000 0.012 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     5  0.2491     0.8361 0.000 0.112 0.000 0.020 0.868 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     6  0.1267     0.9180 0.060 0.000 0.000 0.000 0.000 0.940
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     5  0.2257     0.8763 0.000 0.008 0.000 0.116 0.876 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.1141     0.9432 0.000 0.000 0.948 0.000 0.000 0.052
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     5  0.0260     0.9096 0.000 0.000 0.000 0.008 0.992 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.1531     0.9161 0.000 0.928 0.000 0.000 0.068 0.004
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.1327     0.8779 0.000 0.000 0.000 0.936 0.064 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0458     0.8617 0.984 0.000 0.000 0.000 0.000 0.016
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.8690 1.000 0.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.2265     0.9410 0.000 0.000 0.896 0.052 0.000 0.052
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0363     0.9667 0.000 0.988 0.000 0.012 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     6  0.1501     0.9125 0.076 0.000 0.000 0.000 0.000 0.924
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     5  0.2003     0.8792 0.000 0.000 0.000 0.116 0.884 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     6  0.1610     0.9107 0.084 0.000 0.000 0.000 0.000 0.916
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     5  0.0000     0.9101 0.000 0.000 0.000 0.000 1.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     6  0.2923     0.8744 0.100 0.000 0.000 0.052 0.000 0.848
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.3765     0.3078 0.596 0.000 0.000 0.000 0.000 0.404
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     4  0.3727     0.4707 0.000 0.388 0.000 0.612 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.3428     0.4895 0.696 0.000 0.000 0.000 0.000 0.304
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     5  0.3969     0.5470 0.000 0.312 0.000 0.020 0.668 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.8690 1.000 0.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.2680     0.8895 0.000 0.004 0.856 0.000 0.016 0.124
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0363     0.9667 0.000 0.988 0.000 0.012 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0146     0.9655 0.000 0.996 0.000 0.000 0.000 0.004
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.8690 1.000 0.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     5  0.0000     0.9101 0.000 0.000 0.000 0.000 1.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.1007     0.9453 0.000 0.000 0.956 0.000 0.000 0.044
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.8690 1.000 0.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     5  0.3937     0.2303 0.000 0.004 0.000 0.424 0.572 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0146     0.9464 0.000 0.000 0.996 0.000 0.000 0.004
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.1141     0.9455 0.000 0.000 0.948 0.052 0.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.8690 1.000 0.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     6  0.3857     0.0508 0.468 0.000 0.000 0.000 0.000 0.532
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.2868     0.8398 0.000 0.000 0.840 0.028 0.000 0.132
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.2265     0.9410 0.000 0.000 0.896 0.052 0.000 0.052
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     6  0.3592     0.5075 0.344 0.000 0.000 0.000 0.000 0.656
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.3833     0.1849 0.556 0.000 0.000 0.000 0.000 0.444
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     5  0.0000     0.9101 0.000 0.000 0.000 0.000 1.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     5  0.2092     0.8745 0.000 0.000 0.000 0.124 0.876 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0937     0.8484 0.960 0.000 0.000 0.000 0.000 0.040
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.1500     0.8736 0.000 0.052 0.000 0.936 0.012 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     5  0.2048     0.8770 0.000 0.000 0.000 0.120 0.880 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.8690 1.000 0.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.1625     0.9252 0.000 0.928 0.000 0.012 0.060 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0146     0.9464 0.000 0.000 0.996 0.000 0.000 0.004
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.2100     0.8668 0.000 0.884 0.000 0.000 0.112 0.004
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.1327     0.8779 0.000 0.000 0.000 0.936 0.064 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     6  0.1657     0.8630 0.000 0.000 0.056 0.016 0.000 0.928
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.1141     0.9455 0.000 0.000 0.948 0.052 0.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.2597     0.8139 0.000 0.176 0.000 0.824 0.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     5  0.0000     0.9101 0.000 0.000 0.000 0.000 1.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0363     0.9667 0.000 0.988 0.000 0.012 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0146     0.9464 0.000 0.000 0.996 0.000 0.000 0.004
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0405     0.9633 0.000 0.988 0.000 0.000 0.008 0.004
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0632     0.9572 0.000 0.976 0.000 0.000 0.024 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     5  0.0000     0.9101 0.000 0.000 0.000 0.000 1.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     5  0.2191     0.8754 0.000 0.004 0.000 0.120 0.876 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0146     0.9655 0.000 0.996 0.000 0.000 0.000 0.004
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0858     0.9518 0.000 0.968 0.000 0.000 0.028 0.004
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.1141     0.9455 0.000 0.000 0.948 0.052 0.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     5  0.0000     0.9101 0.000 0.000 0.000 0.000 1.000 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.2945     0.8294 0.000 0.156 0.000 0.824 0.020 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     5  0.2048     0.8770 0.000 0.000 0.000 0.120 0.880 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     6  0.1333     0.8816 0.008 0.000 0.048 0.000 0.000 0.944
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.1141     0.9455 0.000 0.000 0.948 0.052 0.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0405     0.9641 0.000 0.988 0.000 0.000 0.008 0.004
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.2300     0.8313 0.000 0.000 0.856 0.000 0.000 0.144
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.1141     0.9455 0.000 0.000 0.948 0.052 0.000 0.000

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-MAD-pam-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-MAD-pam-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-MAD-pam-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-MAD-pam-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-MAD-pam-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-MAD-pam-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-MAD-pam-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-MAD-pam-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-MAD-pam-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-MAD-pam-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-MAD-pam-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-MAD-pam-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-MAD-pam-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-MAD-pam-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-MAD-pam-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-MAD-pam-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-MAD-pam-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-MAD-pam-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-MAD-pam-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-MAD-pam-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk MAD-pam-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-MAD-pam-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-MAD-pam-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-MAD-pam-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-MAD-pam-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-MAD-pam-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk MAD-pam-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


MAD:mclust**

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["MAD", "mclust"]
# you can also extract it by
# res = res_list["MAD:mclust"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#>   Subgroups are detected by 'mclust' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 3.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk MAD-mclust-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk MAD-mclust-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 1.000           0.999       1.000         0.5034 0.497   0.497
#> 3 3 1.000           0.982       0.993         0.2595 0.869   0.736
#> 4 4 0.850           0.879       0.938         0.1016 0.950   0.864
#> 5 5 0.775           0.739       0.848         0.0940 0.882   0.649
#> 6 6 0.896           0.857       0.920         0.0492 0.928   0.712

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2

There is also optional best \(k\) = 2 that is worth to check.

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette   p1   p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1   0.000      0.999 1.00 0.00
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2   0.000      1.000 0.00 1.00
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1   0.000      0.999 1.00 0.00
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1   0.000      0.999 1.00 0.00
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1   0.000      0.999 1.00 0.00
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2   0.000      1.000 0.00 1.00
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1   0.000      0.999 1.00 0.00
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2   0.000      1.000 0.00 1.00
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1   0.000      0.999 1.00 0.00
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1   0.000      0.999 1.00 0.00
#> 12078907-435A-46C9-96C1-24E71BF4602D     1   0.000      0.999 1.00 0.00
#> 8670C657-F6AB-4767-9278-42E64C614370     1   0.000      0.999 1.00 0.00
#> 1709294C-7194-493D-AF5C-574927F57C0C     2   0.000      1.000 0.00 1.00
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1   0.000      0.999 1.00 0.00
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2   0.000      1.000 0.00 1.00
#> ABB04648-2D62-4E34-9003-4458BF84318D     1   0.000      0.999 1.00 0.00
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1   0.000      0.999 1.00 0.00
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2   0.000      1.000 0.00 1.00
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2   0.000      1.000 0.00 1.00
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2   0.000      1.000 0.00 1.00
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2   0.000      1.000 0.00 1.00
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2   0.000      1.000 0.00 1.00
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2   0.000      1.000 0.00 1.00
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2   0.000      1.000 0.00 1.00
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2   0.000      1.000 0.00 1.00
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1   0.000      0.999 1.00 0.00
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1   0.000      0.999 1.00 0.00
#> 75565A38-EC23-4052-8D31-903C601F64D5     2   0.000      1.000 0.00 1.00
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1   0.000      0.999 1.00 0.00
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2   0.000      1.000 0.00 1.00
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1   0.000      0.999 1.00 0.00
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1   0.000      0.999 1.00 0.00
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2   0.000      1.000 0.00 1.00
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1   0.000      0.999 1.00 0.00
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1   0.000      0.999 1.00 0.00
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1   0.000      0.999 1.00 0.00
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1   0.000      0.999 1.00 0.00
#> 589ACA26-273D-491F-836B-A604BE63947B     2   0.000      1.000 0.00 1.00
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2   0.000      1.000 0.00 1.00
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2   0.000      1.000 0.00 1.00
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1   0.000      0.999 1.00 0.00
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1   0.000      0.999 1.00 0.00
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2   0.000      1.000 0.00 1.00
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1   0.000      0.999 1.00 0.00
#> C3087790-7575-4662-A7DC-B32808B9A775     2   0.000      1.000 0.00 1.00
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1   0.000      0.999 1.00 0.00
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1   0.000      0.999 1.00 0.00
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1   0.000      0.999 1.00 0.00
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2   0.000      1.000 0.00 1.00
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2   0.000      1.000 0.00 1.00
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1   0.000      0.999 1.00 0.00
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2   0.000      1.000 0.00 1.00
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2   0.000      1.000 0.00 1.00
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1   0.000      0.999 1.00 0.00
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2   0.000      1.000 0.00 1.00
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2   0.000      1.000 0.00 1.00
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1   0.000      0.999 1.00 0.00
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2   0.000      1.000 0.00 1.00
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2   0.000      1.000 0.00 1.00
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2   0.000      1.000 0.00 1.00
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1   0.000      0.999 1.00 0.00
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2   0.000      1.000 0.00 1.00
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1   0.000      0.999 1.00 0.00
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2   0.000      1.000 0.00 1.00
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1   0.000      0.999 1.00 0.00
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2   0.000      1.000 0.00 1.00
#> 1339CB34-B996-470A-9710-0649DD05D18A     2   0.000      1.000 0.00 1.00
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2   0.000      1.000 0.00 1.00
#> 7559E197-0527-40D8-A982-C37B35A9A902     1   0.000      0.999 1.00 0.00
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1   0.000      0.999 1.00 0.00
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1   0.000      0.999 1.00 0.00
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1   0.000      0.999 1.00 0.00
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1   0.000      0.999 1.00 0.00
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2   0.000      1.000 0.00 1.00
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1   0.000      0.999 1.00 0.00
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1   0.000      0.999 1.00 0.00
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2   0.000      1.000 0.00 1.00
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2   0.000      1.000 0.00 1.00
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1   0.000      0.999 1.00 0.00
#> E61A5740-7C26-4730-9610-A3C710098B92     1   0.000      0.999 1.00 0.00
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2   0.000      1.000 0.00 1.00
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1   0.000      0.999 1.00 0.00
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2   0.000      1.000 0.00 1.00
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1   0.000      0.999 1.00 0.00
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1   0.000      0.999 1.00 0.00
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1   0.000      0.999 1.00 0.00
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2   0.000      1.000 0.00 1.00
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2   0.000      1.000 0.00 1.00
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2   0.000      1.000 0.00 1.00
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1   0.000      0.999 1.00 0.00
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2   0.000      1.000 0.00 1.00
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1   0.000      0.999 1.00 0.00
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2   0.000      1.000 0.00 1.00
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2   0.000      1.000 0.00 1.00
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2   0.000      1.000 0.00 1.00
#> CF882451-7864-4A14-8893-D9F3D1B79379     1   0.000      0.999 1.00 0.00
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1   0.000      0.999 1.00 0.00
#> 10161FA0-E389-4D98-B854-098AF908C898     1   0.000      0.999 1.00 0.00
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2   0.000      1.000 0.00 1.00
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1   0.000      0.999 1.00 0.00
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2   0.000      1.000 0.00 1.00
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1   0.000      0.999 1.00 0.00
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2   0.000      1.000 0.00 1.00
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1   0.000      0.999 1.00 0.00
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1   0.000      0.999 1.00 0.00
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2   0.000      1.000 0.00 1.00
#> C06A7A87-28A2-4851-A743-583F729D07D3     1   0.000      0.999 1.00 0.00
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2   0.000      1.000 0.00 1.00
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1   0.000      0.999 1.00 0.00
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1   0.242      0.958 0.96 0.04
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2   0.000      1.000 0.00 1.00
#> 692A3312-2027-472B-A28C-C661A0539EB5     2   0.000      1.000 0.00 1.00
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1   0.000      0.999 1.00 0.00
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2   0.000      1.000 0.00 1.00
#> 86689648-2C4A-456F-A551-B9731400846C     1   0.000      0.999 1.00 0.00
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1   0.000      0.999 1.00 0.00
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2   0.000      1.000 0.00 1.00
#> BFB33809-F185-4835-8329-AE53FDEE847C     1   0.000      0.999 1.00 0.00
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1   0.000      0.999 1.00 0.00
#> 852F1EDF-6046-462C-820F-9782410E1845     1   0.000      0.999 1.00 0.00
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1   0.000      0.999 1.00 0.00
#> B18217F7-303C-4104-848E-A354DADE72BF     1   0.000      0.999 1.00 0.00
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1   0.000      0.999 1.00 0.00
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1   0.000      0.999 1.00 0.00
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1   0.000      0.999 1.00 0.00
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2   0.000      1.000 0.00 1.00
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2   0.000      1.000 0.00 1.00
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1   0.000      0.999 1.00 0.00
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2   0.000      1.000 0.00 1.00
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2   0.000      1.000 0.00 1.00
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1   0.000      0.999 1.00 0.00
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2   0.000      1.000 0.00 1.00
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1   0.000      0.999 1.00 0.00
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2   0.000      1.000 0.00 1.00
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2   0.000      1.000 0.00 1.00
#> 864194B9-3525-439D-84A4-EA257300335C     1   0.000      0.999 1.00 0.00
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1   0.000      0.999 1.00 0.00
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2   0.000      1.000 0.00 1.00
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2   0.000      1.000 0.00 1.00
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2   0.000      1.000 0.00 1.00
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1   0.000      0.999 1.00 0.00
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2   0.000      1.000 0.00 1.00
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2   0.000      1.000 0.00 1.00
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2   0.000      1.000 0.00 1.00
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2   0.000      1.000 0.00 1.00
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2   0.000      1.000 0.00 1.00
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2   0.000      1.000 0.00 1.00
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1   0.000      0.999 1.00 0.00
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2   0.000      1.000 0.00 1.00
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2   0.000      1.000 0.00 1.00
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2   0.000      1.000 0.00 1.00
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1   0.000      0.999 1.00 0.00
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1   0.000      0.999 1.00 0.00
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2   0.000      1.000 0.00 1.00
#> 6ED5E961-E559-4459-937E-D0F03650620F     1   0.000      0.999 1.00 0.00
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1   0.000      0.999 1.00 0.00

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1 p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1   0.000      0.989 1.000  0 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2   0.000      1.000 0.000  1 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3   0.000      0.980 0.000  0 1.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1   0.000      0.989 1.000  0 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1   0.000      0.989 1.000  0 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2   0.000      1.000 0.000  1 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3   0.000      0.980 0.000  0 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2   0.000      1.000 0.000  1 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3   0.000      0.980 0.000  0 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1   0.000      0.989 1.000  0 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3   0.000      0.980 0.000  0 1.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3   0.000      0.980 0.000  0 1.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2   0.000      1.000 0.000  1 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1   0.000      0.989 1.000  0 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2   0.000      1.000 0.000  1 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1   0.000      0.989 1.000  0 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1   0.000      0.989 1.000  0 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2   0.000      1.000 0.000  1 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2   0.000      1.000 0.000  1 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2   0.000      1.000 0.000  1 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2   0.000      1.000 0.000  1 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2   0.000      1.000 0.000  1 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2   0.000      1.000 0.000  1 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2   0.000      1.000 0.000  1 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2   0.000      1.000 0.000  1 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1   0.000      0.989 1.000  0 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3   0.000      0.980 0.000  0 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2   0.000      1.000 0.000  1 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1   0.000      0.989 1.000  0 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2   0.000      1.000 0.000  1 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3   0.000      0.980 0.000  0 1.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3   0.460      0.747 0.204  0 0.796
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2   0.000      1.000 0.000  1 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3   0.000      0.980 0.000  0 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3   0.000      0.980 0.000  0 1.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1   0.000      0.989 1.000  0 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3   0.000      0.980 0.000  0 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2   0.000      1.000 0.000  1 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2   0.000      1.000 0.000  1 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2   0.000      1.000 0.000  1 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1   0.000      0.989 1.000  0 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3   0.000      0.980 0.000  0 1.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2   0.000      1.000 0.000  1 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1   0.000      0.989 1.000  0 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2   0.000      1.000 0.000  1 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3   0.000      0.980 0.000  0 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3   0.000      0.980 0.000  0 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1   0.000      0.989 1.000  0 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2   0.000      1.000 0.000  1 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2   0.000      1.000 0.000  1 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3   0.000      0.980 0.000  0 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2   0.000      1.000 0.000  1 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2   0.000      1.000 0.000  1 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1   0.000      0.989 1.000  0 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2   0.000      1.000 0.000  1 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2   0.000      1.000 0.000  1 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3   0.525      0.648 0.264  0 0.736
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2   0.000      1.000 0.000  1 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2   0.000      1.000 0.000  1 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2   0.000      1.000 0.000  1 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1   0.000      0.989 1.000  0 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2   0.000      1.000 0.000  1 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1   0.000      0.989 1.000  0 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2   0.000      1.000 0.000  1 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1   0.000      0.989 1.000  0 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2   0.000      1.000 0.000  1 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2   0.000      1.000 0.000  1 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2   0.000      1.000 0.000  1 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3   0.000      0.980 0.000  0 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3   0.000      0.980 0.000  0 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1   0.000      0.989 1.000  0 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1   0.000      0.989 1.000  0 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1   0.000      0.989 1.000  0 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2   0.000      1.000 0.000  1 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3   0.000      0.980 0.000  0 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3   0.000      0.980 0.000  0 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2   0.000      1.000 0.000  1 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2   0.000      1.000 0.000  1 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1   0.000      0.989 1.000  0 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3   0.000      0.980 0.000  0 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2   0.000      1.000 0.000  1 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1   0.000      0.989 1.000  0 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2   0.000      1.000 0.000  1 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3   0.000      0.980 0.000  0 1.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1   0.000      0.989 1.000  0 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1   0.000      0.989 1.000  0 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2   0.000      1.000 0.000  1 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2   0.000      1.000 0.000  1 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2   0.000      1.000 0.000  1 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1   0.000      0.989 1.000  0 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2   0.000      1.000 0.000  1 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3   0.000      0.980 0.000  0 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2   0.000      1.000 0.000  1 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2   0.000      1.000 0.000  1 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2   0.000      1.000 0.000  1 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1   0.000      0.989 1.000  0 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1   0.000      0.989 1.000  0 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3   0.000      0.980 0.000  0 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2   0.000      1.000 0.000  1 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1   0.000      0.989 1.000  0 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2   0.000      1.000 0.000  1 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1   0.000      0.989 1.000  0 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2   0.000      1.000 0.000  1 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1   0.000      0.989 1.000  0 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1   0.000      0.989 1.000  0 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2   0.000      1.000 0.000  1 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1   0.000      0.989 1.000  0 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2   0.000      1.000 0.000  1 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1   0.000      0.989 1.000  0 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3   0.000      0.980 0.000  0 1.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2   0.000      1.000 0.000  1 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2   0.000      1.000 0.000  1 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1   0.000      0.989 1.000  0 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2   0.000      1.000 0.000  1 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3   0.000      0.980 0.000  0 1.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1   0.000      0.989 1.000  0 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2   0.000      1.000 0.000  1 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3   0.000      0.980 0.000  0 1.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3   0.000      0.980 0.000  0 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1   0.000      0.989 1.000  0 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1   0.000      0.989 1.000  0 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     1   0.625      0.170 0.556  0 0.444
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3   0.000      0.980 0.000  0 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1   0.000      0.989 1.000  0 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1   0.000      0.989 1.000  0 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2   0.000      1.000 0.000  1 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2   0.000      1.000 0.000  1 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1   0.000      0.989 1.000  0 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2   0.000      1.000 0.000  1 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2   0.000      1.000 0.000  1 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1   0.000      0.989 1.000  0 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2   0.000      1.000 0.000  1 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3   0.000      0.980 0.000  0 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2   0.000      1.000 0.000  1 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2   0.000      1.000 0.000  1 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     1   0.000      0.989 1.000  0 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3   0.000      0.980 0.000  0 1.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2   0.000      1.000 0.000  1 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2   0.000      1.000 0.000  1 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2   0.000      1.000 0.000  1 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3   0.000      0.980 0.000  0 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2   0.000      1.000 0.000  1 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2   0.000      1.000 0.000  1 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2   0.000      1.000 0.000  1 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2   0.000      1.000 0.000  1 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2   0.000      1.000 0.000  1 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2   0.000      1.000 0.000  1 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3   0.000      0.980 0.000  0 1.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2   0.000      1.000 0.000  1 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2   0.000      1.000 0.000  1 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2   0.000      1.000 0.000  1 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1   0.000      0.989 1.000  0 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3   0.000      0.980 0.000  0 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2   0.000      1.000 0.000  1 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3   0.450      0.756 0.196  0 0.804
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3   0.000      0.980 0.000  0 1.000

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.0188      0.977 0.996 0.000 0.000 0.004
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0469      0.880 0.000 0.988 0.000 0.012
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.3801      0.940 0.000 0.220 0.000 0.780
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0188      0.977 0.996 0.000 0.000 0.004
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0188      0.977 0.996 0.000 0.000 0.004
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0188      0.977 0.996 0.000 0.000 0.004
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.1557      0.857 0.000 0.944 0.000 0.056
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.4331      0.417 0.000 0.712 0.000 0.288
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.1637      0.932 0.940 0.000 0.000 0.060
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.2704      0.805 0.000 0.876 0.000 0.124
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0921      0.873 0.000 0.972 0.000 0.028
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.3885      0.822 0.092 0.000 0.844 0.064
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.3074      0.864 0.000 0.152 0.000 0.848
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.1716      0.921 0.000 0.000 0.936 0.064
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.3801      0.940 0.000 0.220 0.000 0.780
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.3764      0.938 0.000 0.216 0.000 0.784
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0188      0.977 0.996 0.000 0.000 0.004
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.4331      0.507 0.000 0.712 0.000 0.288
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.4040      0.924 0.000 0.248 0.000 0.752
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.1867      0.845 0.000 0.928 0.000 0.072
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.2704      0.805 0.000 0.876 0.000 0.124
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0188      0.884 0.000 0.996 0.000 0.004
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.5901      0.542 0.280 0.000 0.652 0.068
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.3942      0.934 0.000 0.236 0.000 0.764
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.1474      0.860 0.000 0.948 0.000 0.052
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.3486      0.701 0.000 0.812 0.000 0.188
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.4008      0.610 0.000 0.756 0.000 0.244
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.1211      0.866 0.000 0.960 0.000 0.040
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.4072      0.597 0.000 0.748 0.000 0.252
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.2647      0.809 0.000 0.880 0.000 0.120
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0188      0.977 0.996 0.000 0.000 0.004
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.4830      0.649 0.000 0.392 0.000 0.608
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0817      0.875 0.000 0.976 0.000 0.024
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.2704      0.805 0.000 0.876 0.000 0.124
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.2704      0.805 0.000 0.876 0.000 0.124
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.0336      0.975 0.992 0.000 0.000 0.008
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0188      0.977 0.996 0.000 0.000 0.004
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0188      0.977 0.996 0.000 0.000 0.004
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.3649      0.678 0.000 0.796 0.000 0.204
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.1022      0.870 0.000 0.968 0.000 0.032
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0707      0.876 0.000 0.980 0.000 0.020
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.2973      0.785 0.000 0.856 0.000 0.144
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.3975      0.932 0.000 0.240 0.000 0.760
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0188      0.977 0.996 0.000 0.000 0.004
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.4893      0.719 0.768 0.000 0.168 0.064
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.4522      0.600 0.000 0.680 0.000 0.320
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.4040      0.730 0.000 0.000 0.752 0.248
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.2814      0.786 0.000 0.868 0.000 0.132
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.3486      0.701 0.000 0.812 0.000 0.188
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0188      0.976 0.996 0.000 0.000 0.004
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0188      0.977 0.996 0.000 0.000 0.004
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.6252      0.110 0.512 0.000 0.432 0.056
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0469      0.972 0.988 0.000 0.000 0.012
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.4250      0.540 0.000 0.724 0.000 0.276
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.4967     -0.159 0.000 0.548 0.000 0.452
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.978 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.1637      0.855 0.000 0.940 0.000 0.060
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.3764      0.938 0.000 0.216 0.000 0.784
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.1716      0.928 0.936 0.000 0.000 0.064
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.3649      0.678 0.000 0.796 0.000 0.204
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.3726      0.745 0.000 0.788 0.000 0.212
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.2345      0.825 0.000 0.900 0.000 0.100
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0469      0.881 0.000 0.988 0.000 0.012
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.3801      0.655 0.000 0.780 0.000 0.220
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.2973      0.785 0.000 0.856 0.000 0.144
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.2973      0.785 0.000 0.856 0.000 0.144
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.4072      0.527 0.000 0.748 0.000 0.252
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.3569      0.689 0.000 0.804 0.000 0.196
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      0.885 0.000 1.000 0.000 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.0188      0.977 0.996 0.000 0.000 0.004
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      0.970 0.000 0.000 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.2760      0.801 0.000 0.872 0.000 0.128
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.3311      0.758 0.172 0.000 0.828 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      0.970 0.000 0.000 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0771     0.8438 0.000 0.976 0.000 0.020 0.004
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.2605     0.8247 0.852 0.000 0.000 0.000 0.148
#> 3D71A939-4D61-4178-91C8-9B5004B14064     4  0.4171     0.4677 0.000 0.396 0.000 0.604 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.2074     0.8572 0.000 0.000 0.896 0.000 0.104
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.4990     0.1713 0.000 0.040 0.000 0.600 0.360
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.2074     0.8568 0.000 0.000 0.896 0.000 0.104
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.1478     0.8851 0.000 0.000 0.936 0.000 0.064
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0566     0.8396 0.000 0.984 0.000 0.012 0.004
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0955     0.8434 0.000 0.968 0.000 0.028 0.004
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0865     0.8430 0.000 0.972 0.000 0.024 0.004
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0324     0.8440 0.000 0.992 0.000 0.004 0.004
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.3181     0.8172 0.000 0.856 0.000 0.072 0.072
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.1041     0.8425 0.000 0.964 0.000 0.032 0.004
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.2707     0.8308 0.000 0.876 0.000 0.024 0.100
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0865     0.8430 0.000 0.972 0.000 0.024 0.004
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.2966     0.6251 0.000 0.184 0.000 0.816 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0865     0.8430 0.000 0.972 0.000 0.024 0.004
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.3636     0.6575 0.728 0.000 0.000 0.000 0.272
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.2900     0.8134 0.000 0.864 0.000 0.028 0.108
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     4  0.3857     0.5882 0.000 0.312 0.000 0.688 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.2127     0.8535 0.000 0.000 0.892 0.000 0.108
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.4374     0.5574 0.028 0.000 0.700 0.000 0.272
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.5014     0.1570 0.000 0.040 0.000 0.592 0.368
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.3612     0.6237 0.000 0.000 0.732 0.000 0.268
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.2707     0.8308 0.000 0.876 0.000 0.024 0.100
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.4990     0.1713 0.000 0.040 0.000 0.600 0.360
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     4  0.4283     0.3142 0.000 0.456 0.000 0.544 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.4812     0.1287 0.000 0.028 0.000 0.600 0.372
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.2011     0.5876 0.000 0.088 0.000 0.908 0.004
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0162     0.9185 0.000 0.000 0.996 0.000 0.004
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.2690     0.6996 0.000 0.844 0.000 0.156 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.5284     0.2649 0.000 0.068 0.000 0.608 0.324
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     4  0.3741     0.6252 0.000 0.264 0.000 0.732 0.004
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.3141     0.8049 0.000 0.852 0.000 0.040 0.108
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0865     0.8430 0.000 0.972 0.000 0.024 0.004
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     4  0.4242     0.3425 0.000 0.428 0.000 0.572 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     5  0.6401     0.1841 0.184 0.000 0.336 0.000 0.480
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     4  0.4283     0.3142 0.000 0.456 0.000 0.544 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     5  0.4235    -0.1841 0.000 0.000 0.000 0.424 0.576
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.4420     0.0305 0.000 0.548 0.000 0.448 0.004
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.3561     0.6466 0.000 0.260 0.000 0.740 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.6248     0.3805 0.000 0.172 0.000 0.520 0.308
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     4  0.3999     0.5511 0.000 0.344 0.000 0.656 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     4  0.2020     0.6042 0.000 0.100 0.000 0.900 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.2900     0.8134 0.000 0.864 0.000 0.028 0.108
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.1851     0.8689 0.000 0.000 0.912 0.000 0.088
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.4990     0.1675 0.000 0.040 0.000 0.600 0.360
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.2616     0.8284 0.000 0.880 0.000 0.020 0.100
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.2900     0.8134 0.000 0.864 0.000 0.028 0.108
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.4989     0.1983 0.000 0.552 0.000 0.416 0.032
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.2605     0.8247 0.852 0.000 0.000 0.000 0.148
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0324     0.8440 0.000 0.992 0.000 0.004 0.004
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.2127     0.8535 0.000 0.000 0.892 0.000 0.108
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.3395     0.6666 0.000 0.236 0.000 0.764 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0609     0.8451 0.000 0.980 0.000 0.020 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     4  0.4138     0.4899 0.000 0.384 0.000 0.616 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     4  0.4114     0.5121 0.000 0.376 0.000 0.624 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0771     0.8438 0.000 0.976 0.000 0.020 0.004
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.3565     0.7757 0.000 0.816 0.000 0.040 0.144
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.5302     0.2311 0.000 0.064 0.000 0.592 0.344
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0794     0.8437 0.000 0.972 0.000 0.028 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.3969     0.4462 0.000 0.692 0.000 0.304 0.004
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0865     0.8430 0.000 0.972 0.000 0.024 0.004
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.6569    -0.0390 0.472 0.000 0.256 0.000 0.272
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     4  0.5392     0.5535 0.000 0.192 0.000 0.664 0.144
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.3274     0.6496 0.000 0.780 0.000 0.220 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     5  0.3949     0.3638 0.004 0.000 0.300 0.000 0.696
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     4  0.3596     0.6423 0.000 0.212 0.000 0.776 0.012
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.4350     0.1826 0.000 0.588 0.000 0.408 0.004
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0324     0.8440 0.000 0.992 0.000 0.004 0.004
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0162     0.9186 0.000 0.000 0.996 0.000 0.004
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.3612     0.6407 0.000 0.268 0.000 0.732 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.2127     0.8535 0.000 0.000 0.892 0.000 0.108
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.6744    -0.2366 0.324 0.000 0.404 0.000 0.272
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0955     0.8435 0.000 0.968 0.000 0.028 0.004
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.1732     0.5806 0.000 0.080 0.000 0.920 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.3112     0.5679 0.000 0.100 0.000 0.856 0.044
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.2674     0.7644 0.000 0.856 0.000 0.140 0.004
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9614 1.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     4  0.4287     0.3071 0.000 0.460 0.000 0.540 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.2669     0.8199 0.000 0.876 0.000 0.020 0.104
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.4990     0.1713 0.000 0.040 0.000 0.600 0.360
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.3636     0.6575 0.728 0.000 0.000 0.000 0.272
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.1608     0.8800 0.000 0.000 0.928 0.000 0.072
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.4058     0.6650 0.000 0.236 0.000 0.740 0.024
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0451     0.8432 0.000 0.988 0.000 0.008 0.004
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     4  0.4681     0.6131 0.000 0.252 0.000 0.696 0.052
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.3037     0.8172 0.000 0.860 0.000 0.040 0.100
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0963     0.8416 0.000 0.964 0.000 0.036 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.4272     0.7017 0.000 0.752 0.000 0.196 0.052
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.2605     0.6368 0.000 0.148 0.000 0.852 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.3779     0.7761 0.000 0.804 0.000 0.052 0.144
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.3565     0.7757 0.000 0.816 0.000 0.040 0.144
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0162     0.9185 0.000 0.000 0.996 0.000 0.004
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     4  0.4994     0.5061 0.000 0.096 0.000 0.696 0.208
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.3671     0.6628 0.000 0.236 0.000 0.756 0.008
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.4375     0.1282 0.000 0.576 0.000 0.420 0.004
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.2605     0.8247 0.852 0.000 0.000 0.000 0.148
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.4104     0.7702 0.000 0.788 0.000 0.124 0.088
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.3555     0.7681 0.052 0.000 0.824 0.000 0.124
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000     0.9201 0.000 0.000 1.000 0.000 0.000

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.2488     0.9137 0.000 0.880 0.000 0.044 0.076 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     6  0.3672     0.4761 0.368 0.000 0.000 0.000 0.000 0.632
#> 3D71A939-4D61-4178-91C8-9B5004B14064     5  0.0458     0.8963 0.000 0.016 0.000 0.000 0.984 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.3499     0.5854 0.000 0.000 0.680 0.000 0.000 0.320
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.2631     0.7840 0.000 0.000 0.000 0.820 0.180 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.2996     0.6991 0.000 0.000 0.772 0.000 0.000 0.228
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0713     0.9761 0.972 0.000 0.000 0.000 0.000 0.028
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0146     0.9405 0.000 0.000 0.996 0.000 0.000 0.004
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.2318     0.9123 0.000 0.892 0.000 0.044 0.064 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.2190     0.9120 0.000 0.900 0.000 0.040 0.060 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0458     0.9846 0.984 0.000 0.000 0.000 0.000 0.016
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0458     0.9846 0.984 0.000 0.000 0.000 0.000 0.016
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.2488     0.9137 0.000 0.880 0.000 0.044 0.076 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.2488     0.9137 0.000 0.880 0.000 0.044 0.076 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.2070     0.9017 0.000 0.892 0.000 0.008 0.100 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.2542     0.9124 0.000 0.876 0.000 0.044 0.080 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.1682     0.9032 0.000 0.928 0.000 0.020 0.052 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.2488     0.9137 0.000 0.880 0.000 0.044 0.076 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     5  0.0508     0.8914 0.000 0.004 0.000 0.012 0.984 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.1858     0.9133 0.000 0.912 0.000 0.012 0.076 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     6  0.0790     0.6404 0.032 0.000 0.000 0.000 0.000 0.968
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0713     0.8704 0.000 0.972 0.000 0.028 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     5  0.0146     0.8997 0.000 0.004 0.000 0.000 0.996 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.2996     0.6992 0.000 0.000 0.772 0.000 0.000 0.228
#> E6F801F4-9289-4623-B7D9-60CA56C71683     6  0.2730     0.6657 0.000 0.000 0.192 0.000 0.000 0.808
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.1444     0.7944 0.000 0.000 0.000 0.928 0.072 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     6  0.2762     0.6628 0.000 0.000 0.196 0.000 0.000 0.804
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.1926     0.9073 0.000 0.912 0.000 0.020 0.068 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.2003     0.8044 0.000 0.000 0.000 0.884 0.116 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     5  0.0260     0.9005 0.000 0.008 0.000 0.000 0.992 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.1444     0.7944 0.000 0.000 0.000 0.928 0.072 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0260     0.9889 0.992 0.000 0.000 0.000 0.000 0.008
#> C3087790-7575-4662-A7DC-B32808B9A775     5  0.0405     0.8957 0.000 0.004 0.000 0.008 0.988 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.3711     0.7187 0.000 0.720 0.000 0.020 0.260 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.3563     0.6448 0.000 0.000 0.000 0.664 0.336 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     5  0.0363     0.8895 0.000 0.000 0.000 0.012 0.988 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0713     0.8704 0.000 0.972 0.000 0.028 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.2488     0.9137 0.000 0.880 0.000 0.044 0.076 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     5  0.0363     0.8991 0.000 0.012 0.000 0.000 0.988 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     6  0.2631     0.6694 0.000 0.000 0.180 0.000 0.000 0.820
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     5  0.0260     0.9005 0.000 0.008 0.000 0.000 0.992 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.1444     0.7944 0.000 0.000 0.000 0.928 0.072 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     5  0.3717     0.3216 0.000 0.384 0.000 0.000 0.616 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0260     0.9889 0.992 0.000 0.000 0.000 0.000 0.008
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     5  0.0260     0.9005 0.000 0.008 0.000 0.000 0.992 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.4051     0.4105 0.000 0.008 0.000 0.560 0.432 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     5  0.0363     0.8965 0.000 0.012 0.000 0.000 0.988 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     5  0.1327     0.8200 0.000 0.000 0.000 0.064 0.936 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0632     0.8730 0.000 0.976 0.000 0.024 0.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0146     0.9405 0.000 0.000 0.996 0.000 0.000 0.004
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0632     0.9795 0.976 0.000 0.000 0.000 0.000 0.024
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.1863     0.7962 0.000 0.000 0.000 0.896 0.104 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.2039     0.9084 0.000 0.904 0.000 0.020 0.076 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0713     0.8704 0.000 0.972 0.000 0.028 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     5  0.3647     0.3906 0.000 0.360 0.000 0.000 0.640 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     6  0.3659     0.4845 0.364 0.000 0.000 0.000 0.000 0.636
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.2474     0.9131 0.000 0.880 0.000 0.040 0.080 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.3782     0.4085 0.000 0.000 0.588 0.000 0.000 0.412
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0458     0.9846 0.984 0.000 0.000 0.000 0.000 0.016
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0632     0.9795 0.976 0.000 0.000 0.000 0.000 0.024
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     5  0.1267     0.8545 0.000 0.060 0.000 0.000 0.940 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.1556     0.9111 0.000 0.920 0.000 0.000 0.080 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     5  0.0260     0.9005 0.000 0.008 0.000 0.000 0.992 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.1556     0.9130 0.920 0.000 0.000 0.000 0.000 0.080
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     5  0.0146     0.8996 0.000 0.004 0.000 0.000 0.996 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.2488     0.9137 0.000 0.880 0.000 0.044 0.076 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0713     0.8704 0.000 0.972 0.000 0.028 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.3371     0.7047 0.000 0.000 0.000 0.708 0.292 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.2006     0.9133 0.000 0.904 0.000 0.016 0.080 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0458     0.9846 0.984 0.000 0.000 0.000 0.000 0.016
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     5  0.4312     0.2770 0.000 0.368 0.000 0.028 0.604 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.2488     0.9137 0.000 0.880 0.000 0.044 0.076 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     6  0.0260     0.6380 0.000 0.000 0.008 0.000 0.000 0.992
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     5  0.2821     0.7163 0.000 0.152 0.000 0.016 0.832 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.3563     0.5937 0.000 0.664 0.000 0.000 0.336 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     4  0.5277     0.0878 0.000 0.000 0.108 0.528 0.000 0.364
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     5  0.1204     0.8504 0.000 0.000 0.000 0.056 0.944 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.3756     0.4324 0.000 0.600 0.000 0.000 0.400 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.2488     0.9137 0.000 0.880 0.000 0.044 0.076 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0146     0.9405 0.000 0.000 0.996 0.000 0.000 0.004
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     5  0.0260     0.9005 0.000 0.008 0.000 0.000 0.992 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.3684     0.4931 0.000 0.000 0.628 0.000 0.000 0.372
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0458     0.9846 0.984 0.000 0.000 0.000 0.000 0.016
#> B18217F7-303C-4104-848E-A354DADE72BF     6  0.2664     0.6690 0.000 0.000 0.184 0.000 0.000 0.816
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0146     0.9906 0.996 0.000 0.000 0.000 0.000 0.004
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0458     0.9846 0.984 0.000 0.000 0.000 0.000 0.016
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.2488     0.9137 0.000 0.880 0.000 0.044 0.076 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     5  0.0363     0.8895 0.000 0.000 0.000 0.012 0.988 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     5  0.1327     0.8192 0.000 0.000 0.000 0.064 0.936 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.3720     0.7727 0.000 0.736 0.000 0.028 0.236 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9922 1.000 0.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     5  0.0713     0.8889 0.000 0.028 0.000 0.000 0.972 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0632     0.8730 0.000 0.976 0.000 0.024 0.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.1765     0.8039 0.000 0.000 0.000 0.904 0.096 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     6  0.0291     0.6376 0.004 0.000 0.004 0.000 0.000 0.992
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     5  0.0260     0.9005 0.000 0.008 0.000 0.000 0.992 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.2376     0.9133 0.000 0.888 0.000 0.044 0.068 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     5  0.0363     0.8996 0.000 0.012 0.000 0.000 0.988 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.1616     0.9017 0.000 0.932 0.000 0.020 0.048 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.1812     0.9126 0.000 0.912 0.000 0.008 0.080 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.2996     0.7835 0.000 0.772 0.000 0.000 0.228 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     5  0.0260     0.8926 0.000 0.000 0.000 0.008 0.992 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0713     0.8704 0.000 0.972 0.000 0.028 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0713     0.8704 0.000 0.972 0.000 0.028 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     5  0.0405     0.8998 0.000 0.008 0.000 0.004 0.988 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     5  0.0260     0.9005 0.000 0.008 0.000 0.000 0.992 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     5  0.2176     0.8121 0.000 0.080 0.000 0.024 0.896 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     6  0.3659     0.4845 0.364 0.000 0.000 0.000 0.000 0.636
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.3133     0.7993 0.000 0.780 0.000 0.008 0.212 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     6  0.3409     0.4103 0.000 0.000 0.300 0.000 0.000 0.700
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000     0.9432 0.000 0.000 1.000 0.000 0.000 0.000

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-MAD-mclust-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-MAD-mclust-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-MAD-mclust-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-MAD-mclust-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-MAD-mclust-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-MAD-mclust-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-MAD-mclust-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-MAD-mclust-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-MAD-mclust-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-MAD-mclust-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-MAD-mclust-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-MAD-mclust-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-MAD-mclust-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-MAD-mclust-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-MAD-mclust-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-MAD-mclust-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-MAD-mclust-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-MAD-mclust-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-MAD-mclust-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-MAD-mclust-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk MAD-mclust-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-MAD-mclust-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-MAD-mclust-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-MAD-mclust-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-MAD-mclust-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-MAD-mclust-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk MAD-mclust-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


MAD:NMF**

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["MAD", "NMF"]
# you can also extract it by
# res = res_list["MAD:NMF"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#>   Subgroups are detected by 'NMF' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 4.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk MAD-NMF-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk MAD-NMF-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 1.000           0.999       1.000         0.5034 0.497   0.497
#> 3 3 1.000           0.995       0.998         0.2625 0.868   0.734
#> 4 4 1.000           0.973       0.989         0.1177 0.913   0.765
#> 5 5 0.822           0.710       0.840         0.0733 0.935   0.777
#> 6 6 0.826           0.788       0.879         0.0500 0.892   0.596

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 4
#> attr(,"optional")
#> [1] 2 3

There is also optional best \(k\) = 2 3 that is worth to check.

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette    p1    p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1   0.000      0.999 1.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2   0.000      1.000 0.000 1.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1   0.000      0.999 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1   0.000      0.999 1.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1   0.000      0.999 1.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2   0.000      1.000 0.000 1.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1   0.000      0.999 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2   0.000      1.000 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1   0.000      0.999 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1   0.000      0.999 1.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     1   0.000      0.999 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     1   0.000      0.999 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2   0.000      1.000 0.000 1.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1   0.000      0.999 1.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2   0.000      1.000 0.000 1.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1   0.000      0.999 1.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1   0.000      0.999 1.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2   0.000      1.000 0.000 1.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2   0.000      1.000 0.000 1.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2   0.000      1.000 0.000 1.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2   0.000      1.000 0.000 1.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2   0.000      1.000 0.000 1.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2   0.000      1.000 0.000 1.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2   0.000      1.000 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2   0.000      1.000 0.000 1.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1   0.000      0.999 1.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1   0.000      0.999 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2   0.000      1.000 0.000 1.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1   0.000      0.999 1.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2   0.000      1.000 0.000 1.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1   0.000      0.999 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1   0.000      0.999 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2   0.000      1.000 0.000 1.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1   0.000      0.999 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1   0.000      0.999 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1   0.000      0.999 1.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1   0.000      0.999 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2   0.000      1.000 0.000 1.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2   0.000      1.000 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2   0.000      1.000 0.000 1.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1   0.000      0.999 1.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1   0.000      0.999 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2   0.000      1.000 0.000 1.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1   0.000      0.999 1.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2   0.000      1.000 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1   0.000      0.999 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1   0.000      0.999 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1   0.000      0.999 1.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2   0.000      1.000 0.000 1.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2   0.000      1.000 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1   0.000      0.999 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2   0.000      1.000 0.000 1.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2   0.000      1.000 0.000 1.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1   0.000      0.999 1.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2   0.000      1.000 0.000 1.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2   0.000      1.000 0.000 1.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1   0.000      0.999 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2   0.000      1.000 0.000 1.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2   0.000      1.000 0.000 1.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2   0.000      1.000 0.000 1.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1   0.000      0.999 1.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2   0.000      1.000 0.000 1.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1   0.000      0.999 1.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2   0.000      1.000 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1   0.000      0.999 1.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2   0.000      1.000 0.000 1.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2   0.000      1.000 0.000 1.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2   0.000      1.000 0.000 1.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     1   0.000      0.999 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1   0.000      0.999 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1   0.000      0.999 1.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1   0.000      0.999 1.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1   0.000      0.999 1.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2   0.000      1.000 0.000 1.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1   0.000      0.999 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1   0.000      0.999 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2   0.000      1.000 0.000 1.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2   0.000      1.000 0.000 1.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1   0.000      0.999 1.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     1   0.000      0.999 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2   0.000      1.000 0.000 1.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1   0.000      0.999 1.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2   0.000      1.000 0.000 1.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1   0.000      0.999 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1   0.000      0.999 1.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1   0.000      0.999 1.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2   0.000      1.000 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2   0.000      1.000 0.000 1.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2   0.000      1.000 0.000 1.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1   0.000      0.999 1.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2   0.000      1.000 0.000 1.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1   0.000      0.999 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2   0.000      1.000 0.000 1.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2   0.000      1.000 0.000 1.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2   0.000      1.000 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1   0.000      0.999 1.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1   0.000      0.999 1.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     1   0.000      0.999 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2   0.000      1.000 0.000 1.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1   0.000      0.999 1.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2   0.000      1.000 0.000 1.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1   0.000      0.999 1.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2   0.000      1.000 0.000 1.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1   0.000      0.999 1.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1   0.000      0.999 1.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2   0.000      1.000 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1   0.000      0.999 1.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2   0.000      1.000 0.000 1.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1   0.000      0.999 1.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1   0.000      0.999 1.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2   0.000      1.000 0.000 1.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2   0.000      1.000 0.000 1.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1   0.000      0.999 1.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2   0.000      1.000 0.000 1.000
#> 86689648-2C4A-456F-A551-B9731400846C     1   0.000      0.999 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1   0.000      0.999 1.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2   0.000      1.000 0.000 1.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     1   0.000      0.999 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1   0.000      0.999 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1   0.000      0.999 1.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1   0.000      0.999 1.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     1   0.000      0.999 1.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1   0.000      0.999 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1   0.000      0.999 1.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1   0.388      0.918 0.924 0.076
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2   0.000      1.000 0.000 1.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2   0.000      1.000 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1   0.000      0.999 1.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2   0.000      1.000 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2   0.000      1.000 0.000 1.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1   0.000      0.999 1.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2   0.000      1.000 0.000 1.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1   0.000      0.999 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2   0.000      1.000 0.000 1.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2   0.000      1.000 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     1   0.000      0.999 1.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1   0.000      0.999 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2   0.000      1.000 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2   0.000      1.000 0.000 1.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2   0.000      1.000 0.000 1.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1   0.000      0.999 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2   0.000      1.000 0.000 1.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2   0.000      1.000 0.000 1.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2   0.000      1.000 0.000 1.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2   0.000      1.000 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2   0.000      1.000 0.000 1.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2   0.000      1.000 0.000 1.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1   0.000      0.999 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2   0.000      1.000 0.000 1.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2   0.000      1.000 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2   0.000      1.000 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1   0.000      0.999 1.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1   0.000      0.999 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2   0.000      1.000 0.000 1.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     1   0.000      0.999 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1   0.000      0.999 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1    p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.999 1.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      1.000 0.000 1.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      0.991 0.000 0.000 1.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.999 1.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     3  0.3192      0.879 0.112 0.000 0.888
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      1.000 0.000 1.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.991 0.000 0.000 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0000      1.000 0.000 1.000 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000      0.991 0.000 0.000 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000      0.999 1.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000      0.991 0.000 0.000 1.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      0.991 0.000 0.000 1.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      1.000 0.000 1.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.999 1.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      1.000 0.000 1.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      0.999 1.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      0.999 1.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      1.000 0.000 1.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      1.000 0.000 1.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      1.000 0.000 1.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      1.000 0.000 1.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      1.000 0.000 1.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      1.000 0.000 1.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      1.000 0.000 1.000 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      1.000 0.000 1.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.1289      0.967 0.968 0.000 0.032
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.991 0.000 0.000 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      1.000 0.000 1.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.999 1.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      1.000 0.000 1.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      0.991 0.000 0.000 1.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0237      0.988 0.004 0.000 0.996
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.0424      0.992 0.000 0.992 0.008
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.991 0.000 0.000 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0000      0.991 0.000 0.000 1.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.999 1.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.991 0.000 0.000 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      1.000 0.000 1.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000      1.000 0.000 1.000 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      1.000 0.000 1.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.999 1.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      0.991 0.000 0.000 1.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0000      1.000 0.000 1.000 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.999 1.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000      1.000 0.000 1.000 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.991 0.000 0.000 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      0.991 0.000 0.000 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.999 1.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      1.000 0.000 1.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000      1.000 0.000 1.000 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.991 0.000 0.000 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      1.000 0.000 1.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      1.000 0.000 1.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.999 1.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      1.000 0.000 1.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      1.000 0.000 1.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000      0.991 0.000 0.000 1.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      1.000 0.000 1.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      1.000 0.000 1.000 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      1.000 0.000 1.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.999 1.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      1.000 0.000 1.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.999 1.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      1.000 0.000 1.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.999 1.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      1.000 0.000 1.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      1.000 0.000 1.000 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      1.000 0.000 1.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.991 0.000 0.000 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.991 0.000 0.000 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.999 1.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000      0.999 1.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.999 1.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000      1.000 0.000 1.000 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.991 0.000 0.000 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.991 0.000 0.000 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      1.000 0.000 1.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      1.000 0.000 1.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.999 1.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.991 0.000 0.000 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      1.000 0.000 1.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     3  0.0000      0.991 0.000 0.000 1.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      1.000 0.000 1.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000      0.991 0.000 0.000 1.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      0.999 1.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000      0.999 1.000 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000      1.000 0.000 1.000 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      1.000 0.000 1.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      1.000 0.000 1.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      0.999 1.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      1.000 0.000 1.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.991 0.000 0.000 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      1.000 0.000 1.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      1.000 0.000 1.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000      1.000 0.000 1.000 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.999 1.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.999 1.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.991 0.000 0.000 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      1.000 0.000 1.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      0.999 1.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      1.000 0.000 1.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.999 1.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      1.000 0.000 1.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.0424      0.991 0.992 0.000 0.008
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.999 1.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      1.000 0.000 1.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.999 1.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      1.000 0.000 1.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.999 1.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000      0.991 0.000 0.000 1.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      1.000 0.000 1.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      1.000 0.000 1.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.999 1.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      1.000 0.000 1.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      0.991 0.000 0.000 1.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.999 1.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      1.000 0.000 1.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      0.991 0.000 0.000 1.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      0.991 0.000 0.000 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.999 1.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      0.999 1.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0000      0.991 0.000 0.000 1.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.991 0.000 0.000 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.999 1.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      0.999 1.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      1.000 0.000 1.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000      1.000 0.000 1.000 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      0.999 1.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      1.000 0.000 1.000 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      1.000 0.000 1.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.999 1.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      1.000 0.000 1.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      0.991 0.000 0.000 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      1.000 0.000 1.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000      1.000 0.000 1.000 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.3412      0.863 0.124 0.000 0.876
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000      0.991 0.000 0.000 1.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      1.000 0.000 1.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      1.000 0.000 1.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      1.000 0.000 1.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      0.991 0.000 0.000 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      1.000 0.000 1.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      1.000 0.000 1.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      1.000 0.000 1.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      1.000 0.000 1.000 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      1.000 0.000 1.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      1.000 0.000 1.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      0.991 0.000 0.000 1.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      1.000 0.000 1.000 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      1.000 0.000 1.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      1.000 0.000 1.000 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.2959      0.893 0.100 0.000 0.900
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      0.991 0.000 0.000 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      1.000 0.000 1.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      0.991 0.000 0.000 1.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      0.991 0.000 0.000 1.000

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     4  0.3942      0.675 0.236 0.000 0.000 0.764
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.0000      0.938 0.000 0.000 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     4  0.0000      0.938 0.000 0.000 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.0000      0.938 0.000 0.000 0.000 1.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0000      0.938 0.000 0.000 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.0000      0.938 0.000 0.000 0.000 1.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.0000      0.938 0.000 0.000 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.0000      0.938 0.000 0.000 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.1637      0.930 0.000 0.940 0.000 0.060
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.3942      0.680 0.000 0.764 0.000 0.236
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.0817      0.924 0.000 0.024 0.000 0.976
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     4  0.0000      0.938 0.000 0.000 0.000 1.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.4776      0.412 0.000 0.376 0.000 0.624
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.0000      0.938 0.000 0.000 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.4477      0.542 0.688 0.000 0.312 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.0000      0.938 0.000 0.000 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.2973      0.815 0.000 0.144 0.000 0.856
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0000      0.938 0.000 0.000 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.2760      0.830 0.128 0.000 0.872 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0188      0.988 0.000 0.996 0.000 0.004
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.1022      0.918 0.000 0.032 0.000 0.968
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.1118      0.956 0.000 0.964 0.000 0.036
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.3219      0.797 0.000 0.836 0.000 0.164
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.0000      0.990 1.000 0.000 0.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.991 0.000 1.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      0.996 0.000 0.000 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      0.996 0.000 0.000 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.9944 1.000 0.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000     0.7028 0.000 1.000 0.000 0.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.2605     0.8459 0.000 0.000 0.852 0.000 0.148
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#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.2424     0.8527 0.000 0.000 0.868 0.000 0.132
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.1121     0.6878 0.000 0.956 0.000 0.000 0.044
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     5  0.4238     0.7792 0.000 0.368 0.000 0.004 0.628
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.3395     0.4126 0.000 0.764 0.000 0.236 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.2763     0.8274 0.848 0.000 0.004 0.000 0.148
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.2179     0.8584 0.000 0.000 0.888 0.000 0.112
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.3895     0.2308 0.000 0.680 0.000 0.000 0.320
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0162     0.8828 0.000 0.000 0.996 0.000 0.004
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.4030     0.7484 0.000 0.000 0.648 0.000 0.352

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     5  0.0790     0.8415 0.000 0.032 0.000 0.000 0.968 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.3309     0.5189 0.000 0.000 0.720 0.000 0.000 0.280
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.3684     0.4331 0.628 0.000 0.000 0.372 0.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.2949     0.7854 0.000 0.832 0.000 0.000 0.140 0.028
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0820     0.8947 0.000 0.016 0.972 0.000 0.000 0.012
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.4904     0.7136 0.000 0.040 0.000 0.716 0.140 0.104
#> 211FD575-40D6-4E44-818F-3A382F4634DA     6  0.3175     0.9896 0.000 0.000 0.256 0.000 0.000 0.744
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     6  0.3175     0.9896 0.000 0.000 0.256 0.000 0.000 0.744
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.2996     0.6351 0.000 0.000 0.772 0.000 0.000 0.228
#> 1709294C-7194-493D-AF5C-574927F57C0C     5  0.0405     0.8427 0.000 0.008 0.000 0.000 0.988 0.004
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     5  0.0146     0.8417 0.000 0.000 0.000 0.000 0.996 0.004
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     5  0.0146     0.8417 0.000 0.000 0.000 0.000 0.996 0.004
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     5  0.0777     0.8421 0.000 0.024 0.000 0.000 0.972 0.004
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.3512     0.7067 0.000 0.720 0.000 0.000 0.272 0.008
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     5  0.0909     0.8415 0.000 0.020 0.000 0.000 0.968 0.012
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.3907     0.7089 0.000 0.704 0.000 0.000 0.268 0.028
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     5  0.0000     0.8419 0.000 0.000 0.000 0.000 1.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     5  0.3782     0.1582 0.000 0.000 0.000 0.412 0.588 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.4377     0.6427 0.000 0.644 0.000 0.000 0.312 0.044
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0790     0.8962 0.000 0.000 0.968 0.000 0.000 0.032
#> 75565A38-EC23-4052-8D31-903C601F64D5     5  0.1082     0.8352 0.000 0.040 0.000 0.000 0.956 0.004
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.1701     0.7797 0.000 0.920 0.000 0.000 0.072 0.008
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0363     0.9049 0.000 0.000 0.988 0.000 0.000 0.012
#> E6F801F4-9289-4623-B7D9-60CA56C71683     6  0.3290     0.9839 0.004 0.000 0.252 0.000 0.000 0.744
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.0725     0.7441 0.000 0.000 0.000 0.976 0.012 0.012
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0520     0.9005 0.000 0.008 0.984 0.000 0.000 0.008
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     6  0.3175     0.9896 0.000 0.000 0.256 0.000 0.000 0.744
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0725     0.8966 0.000 0.012 0.976 0.000 0.000 0.012
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.4002     0.7126 0.000 0.704 0.000 0.000 0.260 0.036
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0260     0.7436 0.000 0.000 0.000 0.992 0.008 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     5  0.1075     0.8353 0.000 0.048 0.000 0.000 0.952 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.3101     0.6031 0.000 0.000 0.756 0.000 0.000 0.244
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.3468     0.6059 0.000 0.804 0.000 0.068 0.000 0.128
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.6023     0.5320 0.000 0.052 0.000 0.548 0.296 0.104
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0146     0.9041 0.000 0.004 0.996 0.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     6  0.3175     0.9896 0.000 0.000 0.256 0.000 0.000 0.744
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     5  0.3453     0.6902 0.000 0.164 0.000 0.000 0.792 0.044
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.3907     0.7293 0.000 0.056 0.000 0.800 0.036 0.108
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0363     0.9049 0.000 0.000 0.988 0.000 0.000 0.012
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.2740     0.7879 0.000 0.852 0.000 0.000 0.120 0.028
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.2632     0.7853 0.000 0.832 0.000 0.000 0.164 0.004
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     5  0.0000     0.8419 0.000 0.000 0.000 0.000 1.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     5  0.1074     0.8394 0.000 0.028 0.000 0.000 0.960 0.012
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.1480     0.8657 0.000 0.040 0.940 0.000 0.000 0.020
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.1498     0.7524 0.000 0.940 0.000 0.000 0.032 0.028
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.2404     0.6941 0.000 0.872 0.000 0.000 0.016 0.112
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.2311     0.7890 0.000 0.880 0.000 0.000 0.104 0.016
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.2934     0.7006 0.000 0.844 0.000 0.000 0.044 0.112
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.3066     0.6840 0.000 0.832 0.000 0.000 0.044 0.124
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.4477     0.5906 0.000 0.620 0.000 0.008 0.344 0.028
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.4946     0.2669 0.000 0.528 0.000 0.404 0.068 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     5  0.0146     0.8417 0.000 0.000 0.000 0.000 0.996 0.004
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0547     0.9023 0.000 0.000 0.980 0.000 0.000 0.020
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0909     0.8924 0.000 0.020 0.968 0.000 0.000 0.012
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.1995     0.9021 0.912 0.036 0.000 0.000 0.000 0.052
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.4427     0.5238 0.000 0.256 0.000 0.692 0.028 0.024
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0405     0.9027 0.000 0.008 0.988 0.000 0.000 0.004
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0260     0.9038 0.000 0.008 0.992 0.000 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     5  0.3970     0.4790 0.000 0.280 0.000 0.000 0.692 0.028
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     5  0.1858     0.8042 0.000 0.092 0.000 0.000 0.904 0.004
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.1141     0.8822 0.000 0.000 0.948 0.000 0.000 0.052
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.2821     0.7866 0.000 0.832 0.000 0.000 0.152 0.016
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     4  0.0000     0.7411 0.000 0.000 0.000 1.000 0.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     5  0.4550    -0.0116 0.000 0.420 0.000 0.000 0.544 0.036
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0363     0.9049 0.000 0.000 0.988 0.000 0.000 0.012
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.2294     0.8809 0.892 0.036 0.000 0.000 0.000 0.072
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.6960    -0.2037 0.000 0.424 0.000 0.328 0.128 0.120
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.2212     0.7914 0.000 0.880 0.000 0.000 0.112 0.008
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.3447     0.7791 0.000 0.800 0.000 0.024 0.164 0.012
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     4  0.5283     0.4283 0.000 0.196 0.000 0.620 0.180 0.004
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0260     0.9050 0.000 0.000 0.992 0.000 0.000 0.008
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     5  0.0146     0.8422 0.000 0.004 0.000 0.000 0.996 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     5  0.0603     0.8406 0.000 0.016 0.000 0.000 0.980 0.004
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.3174     0.7242 0.000 0.056 0.000 0.836 0.004 0.104
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0363     0.9049 0.000 0.000 0.988 0.000 0.000 0.012
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.4045     0.7064 0.000 0.696 0.000 0.000 0.268 0.036
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0820     0.9532 0.972 0.016 0.000 0.000 0.000 0.012
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     4  0.6214    -0.0818 0.000 0.304 0.000 0.388 0.304 0.004
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     5  0.0146     0.8422 0.000 0.004 0.000 0.000 0.996 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.1088     0.9391 0.960 0.000 0.024 0.000 0.000 0.016
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.1934     0.7518 0.000 0.916 0.000 0.000 0.040 0.044
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     5  0.0909     0.8413 0.000 0.020 0.000 0.000 0.968 0.012
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0405     0.9017 0.000 0.004 0.988 0.000 0.000 0.008
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.1866     0.7841 0.000 0.908 0.000 0.000 0.084 0.008
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.2003     0.7917 0.000 0.884 0.000 0.000 0.116 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     5  0.0993     0.8406 0.000 0.024 0.000 0.000 0.964 0.012
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0622     0.8983 0.000 0.008 0.980 0.000 0.000 0.012
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     5  0.4874     0.4603 0.000 0.252 0.000 0.000 0.640 0.108
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.1333     0.8896 0.000 0.008 0.944 0.000 0.000 0.048
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     6  0.3266     0.9731 0.000 0.000 0.272 0.000 0.000 0.728
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     6  0.3109     0.9437 0.004 0.000 0.224 0.000 0.000 0.772
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0363     0.9049 0.000 0.000 0.988 0.000 0.000 0.012
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     5  0.2593     0.7422 0.000 0.148 0.000 0.000 0.844 0.008
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     5  0.4396    -0.0807 0.000 0.000 0.000 0.456 0.520 0.024
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.2822     0.6847 0.000 0.864 0.000 0.056 0.004 0.076
#> 16A70057-AF47-4934-992E-3E9CF6E74684     5  0.1327     0.7911 0.000 0.000 0.000 0.064 0.936 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9736 1.000 0.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.2814     0.7850 0.000 0.820 0.000 0.000 0.172 0.008
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     6  0.3198     0.9856 0.000 0.000 0.260 0.000 0.000 0.740
#> 879DC385-8E19-410C-8C04-0B7015FB7289     5  0.0146     0.8417 0.000 0.000 0.000 0.000 0.996 0.004
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0000     0.7411 0.000 0.000 0.000 1.000 0.000 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.3702     0.7070 0.784 0.008 0.164 0.000 0.000 0.044
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     6  0.3175     0.9896 0.000 0.000 0.256 0.000 0.000 0.744
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.2527     0.7020 0.000 0.868 0.000 0.000 0.024 0.108
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     5  0.0260     0.8424 0.000 0.008 0.000 0.000 0.992 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.1983     0.7770 0.000 0.908 0.000 0.000 0.072 0.020
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.1411     0.8789 0.000 0.004 0.936 0.000 0.000 0.060
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     5  0.4632    -0.1112 0.000 0.440 0.000 0.000 0.520 0.040
#> 4C96C968-6B8F-4B81-B141-4081F338F333     5  0.4331    -0.1452 0.000 0.464 0.000 0.000 0.516 0.020
#> 4022B5D9-8B67-45C3-867B-A72129500F86     5  0.0146     0.8417 0.000 0.000 0.000 0.000 0.996 0.004
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     4  0.2562     0.7039 0.000 0.000 0.000 0.828 0.172 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.4246     0.4673 0.000 0.580 0.000 0.000 0.400 0.020
#> 633D24E2-63CE-499F-A448-765AAAEF1977     5  0.2191     0.7774 0.000 0.120 0.000 0.000 0.876 0.004
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.3634     0.2545 0.000 0.000 0.644 0.000 0.000 0.356
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     5  0.1367     0.8335 0.000 0.044 0.000 0.000 0.944 0.012
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.2793     0.7013 0.000 0.856 0.000 0.004 0.028 0.112
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     5  0.2135     0.7395 0.000 0.000 0.000 0.128 0.872 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.2980     0.7641 0.800 0.000 0.008 0.000 0.000 0.192
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.3126     0.5936 0.000 0.000 0.752 0.000 0.000 0.248
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.3883     0.6269 0.000 0.656 0.000 0.000 0.332 0.012
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0260     0.9038 0.000 0.008 0.992 0.000 0.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     6  0.3175     0.9896 0.000 0.000 0.256 0.000 0.000 0.744

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-MAD-NMF-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-MAD-NMF-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-MAD-NMF-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-MAD-NMF-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-MAD-NMF-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-MAD-NMF-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-MAD-NMF-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-MAD-NMF-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-MAD-NMF-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-MAD-NMF-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-MAD-NMF-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-MAD-NMF-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-MAD-NMF-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-MAD-NMF-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-MAD-NMF-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-MAD-NMF-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-MAD-NMF-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-MAD-NMF-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-MAD-NMF-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-MAD-NMF-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk MAD-NMF-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-MAD-NMF-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-MAD-NMF-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-MAD-NMF-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-MAD-NMF-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-MAD-NMF-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk MAD-NMF-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


ATC:hclust

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["ATC", "hclust"]
# you can also extract it by
# res = res_list["ATC:hclust"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#>   Subgroups are detected by 'hclust' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 3.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk ATC-hclust-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk ATC-hclust-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 0.579           0.827       0.924         0.4063 0.598   0.598
#> 3 3 0.714           0.788       0.897         0.5813 0.700   0.519
#> 4 4 0.767           0.733       0.849         0.1147 0.904   0.733
#> 5 5 0.779           0.738       0.854         0.0276 0.984   0.944
#> 6 6 0.819           0.774       0.888         0.0399 0.948   0.808

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 3

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette    p1    p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     2  0.7376     0.7801 0.208 0.792
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000     0.9135 0.000 1.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1  0.0000     0.9008 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     2  0.6438     0.8267 0.164 0.836
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  1.0000    -0.0584 0.504 0.496
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000     0.9135 0.000 1.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1  0.0000     0.9008 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0376     0.9120 0.004 0.996
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1  0.0000     0.9008 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     2  0.9998     0.0795 0.492 0.508
#> 12078907-435A-46C9-96C1-24E71BF4602D     1  0.3584     0.8557 0.932 0.068
#> 8670C657-F6AB-4767-9278-42E64C614370     1  0.0000     0.9008 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000     0.9135 0.000 1.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     2  0.6438     0.8267 0.164 0.836
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000     0.9135 0.000 1.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     2  0.6973     0.8022 0.188 0.812
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     2  0.7376     0.7801 0.208 0.792
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000     0.9135 0.000 1.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000     0.9135 0.000 1.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.9135 0.000 1.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000     0.9135 0.000 1.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.9135 0.000 1.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000     0.9135 0.000 1.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000     0.9135 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     0.9135 0.000 1.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.9815     0.2332 0.580 0.420
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1  0.0000     0.9008 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000     0.9135 0.000 1.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     2  0.6438     0.8267 0.164 0.836
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000     0.9135 0.000 1.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1  0.0000     0.9008 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1  0.3584     0.8557 0.932 0.068
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.5059     0.8601 0.112 0.888
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1  0.0000     0.9008 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1  0.3584     0.8557 0.932 0.068
#> 04156B26-81B5-4E17-A14A-819800ABFE36     2  0.6438     0.8267 0.164 0.836
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1  0.0000     0.9008 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.9135 0.000 1.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.5059     0.8601 0.112 0.888
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000     0.9135 0.000 1.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     2  0.6438     0.8267 0.164 0.836
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1  0.0000     0.9008 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0000     0.9135 0.000 1.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     2  0.9909     0.2532 0.444 0.556
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000     0.9135 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1  0.0000     0.9008 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1  0.0000     0.9008 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     2  0.6438     0.8267 0.164 0.836
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000     0.9135 0.000 1.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000     0.9135 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1  0.0000     0.9008 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000     0.9135 0.000 1.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.9135 0.000 1.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     2  0.6438     0.8267 0.164 0.836
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000     0.9135 0.000 1.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000     0.9135 0.000 1.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1  0.9954     0.0910 0.540 0.460
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000     0.9135 0.000 1.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0376     0.9120 0.004 0.996
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.9135 0.000 1.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     2  0.6438     0.8267 0.164 0.836
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000     0.9135 0.000 1.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     2  0.6973     0.8022 0.188 0.812
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000     0.9135 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     2  0.7299     0.7849 0.204 0.796
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000     0.9135 0.000 1.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000     0.9135 0.000 1.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000     0.9135 0.000 1.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     1  0.0000     0.9008 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1  0.0000     0.9008 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     2  0.6438     0.8267 0.164 0.836
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     2  0.9998     0.0795 0.492 0.508
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     2  0.6438     0.8267 0.164 0.836
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0376     0.9120 0.004 0.996
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1  0.0000     0.9008 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1  0.0000     0.9008 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000     0.9135 0.000 1.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000     0.9135 0.000 1.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     2  0.7376     0.7801 0.208 0.792
#> E61A5740-7C26-4730-9610-A3C710098B92     1  0.0000     0.9008 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000     0.9135 0.000 1.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  1.0000    -0.0584 0.504 0.496
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000     0.9135 0.000 1.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1  0.0000     0.9008 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     2  0.7376     0.7801 0.208 0.792
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     2  0.9998     0.0795 0.492 0.508
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000     0.9135 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000     0.9135 0.000 1.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000     0.9135 0.000 1.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     2  0.9909     0.2532 0.444 0.556
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000     0.9135 0.000 1.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1  0.0000     0.9008 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000     0.9135 0.000 1.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000     0.9135 0.000 1.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000     0.9135 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     2  0.6438     0.8267 0.164 0.836
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     2  0.6438     0.8267 0.164 0.836
#> 10161FA0-E389-4D98-B854-098AF908C898     1  0.0000     0.9008 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000     0.9135 0.000 1.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     2  0.6438     0.8267 0.164 0.836
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000     0.9135 0.000 1.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     2  0.7376     0.7801 0.208 0.792
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000     0.9135 0.000 1.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.4161     0.8398 0.916 0.084
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     2  0.6973     0.8022 0.188 0.812
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000     0.9135 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     2  0.6438     0.8267 0.164 0.836
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000     0.9135 0.000 1.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     2  0.6438     0.8267 0.164 0.836
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1  0.2423     0.8758 0.960 0.040
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000     0.9135 0.000 1.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     0.9135 0.000 1.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     2  0.7376     0.7801 0.208 0.792
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000     0.9135 0.000 1.000
#> 86689648-2C4A-456F-A551-B9731400846C     1  0.0000     0.9008 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     2  0.6438     0.8267 0.164 0.836
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000     0.9135 0.000 1.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     1  0.0000     0.9008 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1  0.0000     0.9008 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     2  0.6438     0.8267 0.164 0.836
#> EF68CF6E-F46D-477A-B125-153DDE949C07     2  0.6438     0.8267 0.164 0.836
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.9881     0.1814 0.564 0.436
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1  0.0000     0.9008 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     2  0.6438     0.8267 0.164 0.836
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     2  0.6438     0.8267 0.164 0.836
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000     0.9135 0.000 1.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000     0.9135 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     2  0.6438     0.8267 0.164 0.836
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000     0.9135 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000     0.9135 0.000 1.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     2  0.6438     0.8267 0.164 0.836
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000     0.9135 0.000 1.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1  0.0000     0.9008 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000     0.9135 0.000 1.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.5059     0.8601 0.112 0.888
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.9815     0.2332 0.580 0.420
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1  0.3584     0.8557 0.932 0.068
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000     0.9135 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000     0.9135 0.000 1.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     0.9135 0.000 1.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1  0.0000     0.9008 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000     0.9135 0.000 1.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000     0.9135 0.000 1.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000     0.9135 0.000 1.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000     0.9135 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.9135 0.000 1.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000     0.9135 0.000 1.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1  0.0000     0.9008 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000     0.9135 0.000 1.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000     0.9135 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000     0.9135 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.9815     0.2332 0.580 0.420
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1  0.0000     0.9008 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000     0.9135 0.000 1.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     1  0.0000     0.9008 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1  0.0000     0.9008 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1    p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.2187      0.842 0.948 0.024 0.028
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.872 0.000 1.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      0.969 0.000 0.000 1.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.1529      0.850 0.960 0.040 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.5560      0.553 0.700 0.000 0.300
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.5560      0.618 0.300 0.700 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.969 0.000 0.000 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     1  0.6062      0.254 0.616 0.384 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000      0.969 0.000 0.000 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.5465      0.571 0.712 0.000 0.288
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.4702      0.764 0.212 0.000 0.788
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      0.969 0.000 0.000 1.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.872 0.000 1.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.1529      0.850 0.960 0.040 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.872 0.000 1.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.2550      0.847 0.936 0.040 0.024
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.2187      0.842 0.948 0.024 0.028
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.872 0.000 1.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.872 0.000 1.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.872 0.000 1.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.872 0.000 1.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.872 0.000 1.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.872 0.000 1.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      0.872 0.000 1.000 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.872 0.000 1.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.6180      0.326 0.584 0.000 0.416
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.969 0.000 0.000 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.872 0.000 1.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.1529      0.850 0.960 0.040 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.5397      0.644 0.280 0.720 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      0.969 0.000 0.000 1.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.4702      0.764 0.212 0.000 0.788
#> B644962A-DEFE-4169-A39E-EF2141F5125A     1  0.3752      0.737 0.856 0.144 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.969 0.000 0.000 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.4702      0.764 0.212 0.000 0.788
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.1529      0.850 0.960 0.040 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.969 0.000 0.000 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.872 0.000 1.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     1  0.3752      0.737 0.856 0.144 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      0.872 0.000 1.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.1529      0.850 0.960 0.040 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      0.969 0.000 0.000 1.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     1  0.5733      0.426 0.676 0.324 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.6803      0.620 0.680 0.040 0.280
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.6260      0.310 0.448 0.552 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.969 0.000 0.000 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      0.969 0.000 0.000 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.1529      0.850 0.960 0.040 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      0.872 0.000 1.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     1  0.5733      0.426 0.676 0.324 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.969 0.000 0.000 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.5560      0.618 0.300 0.700 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.872 0.000 1.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.1529      0.850 0.960 0.040 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.872 0.000 1.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      0.872 0.000 1.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1  0.5835      0.483 0.660 0.000 0.340
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.5397      0.644 0.280 0.720 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.6045      0.486 0.380 0.620 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.872 0.000 1.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.1529      0.850 0.960 0.040 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.6286      0.270 0.464 0.536 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.2550      0.847 0.936 0.040 0.024
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     1  0.5733      0.426 0.676 0.324 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.2318      0.844 0.944 0.028 0.028
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.1964      0.847 0.056 0.944 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.1964      0.847 0.056 0.944 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.872 0.000 1.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.969 0.000 0.000 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.969 0.000 0.000 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.1529      0.850 0.960 0.040 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.5465      0.571 0.712 0.000 0.288
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.1529      0.850 0.960 0.040 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.6045      0.486 0.380 0.620 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.969 0.000 0.000 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.969 0.000 0.000 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.872 0.000 1.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.872 0.000 1.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.2187      0.842 0.948 0.024 0.028
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.969 0.000 0.000 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.1860      0.849 0.052 0.948 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.5560      0.553 0.700 0.000 0.300
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.872 0.000 1.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000      0.969 0.000 0.000 1.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.2187      0.842 0.948 0.024 0.028
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.5465      0.571 0.712 0.000 0.288
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.6280      0.282 0.460 0.540 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.1860      0.849 0.052 0.948 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.1964      0.847 0.056 0.944 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.6803      0.620 0.680 0.040 0.280
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.1964      0.847 0.056 0.944 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.969 0.000 0.000 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.872 0.000 1.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.872 0.000 1.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     1  0.5733      0.426 0.676 0.324 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.1529      0.850 0.960 0.040 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.1529      0.850 0.960 0.040 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.969 0.000 0.000 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.1860      0.849 0.052 0.948 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.1529      0.850 0.960 0.040 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      0.872 0.000 1.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.2187      0.842 0.948 0.024 0.028
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.872 0.000 1.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.3686      0.847 0.140 0.000 0.860
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.2550      0.847 0.936 0.040 0.024
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.6286      0.270 0.464 0.536 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.1529      0.850 0.960 0.040 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.872 0.000 1.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.1529      0.850 0.960 0.040 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.2866      0.907 0.076 0.008 0.916
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.5650      0.601 0.312 0.688 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.872 0.000 1.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.2187      0.842 0.948 0.024 0.028
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.872 0.000 1.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      0.969 0.000 0.000 1.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.1529      0.850 0.960 0.040 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.5926      0.529 0.356 0.644 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      0.969 0.000 0.000 1.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      0.969 0.000 0.000 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.1529      0.850 0.960 0.040 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.1529      0.850 0.960 0.040 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.5948      0.438 0.640 0.000 0.360
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.969 0.000 0.000 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.1529      0.850 0.960 0.040 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.1529      0.850 0.960 0.040 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0424      0.869 0.008 0.992 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.5926      0.529 0.356 0.644 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.1529      0.850 0.960 0.040 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.5948      0.522 0.360 0.640 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      0.872 0.000 1.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.1529      0.850 0.960 0.040 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.4178      0.753 0.172 0.828 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      0.969 0.000 0.000 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      0.872 0.000 1.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     1  0.3752      0.737 0.856 0.144 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.6180      0.326 0.584 0.000 0.416
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.4702      0.764 0.212 0.000 0.788
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.6286      0.270 0.464 0.536 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.872 0.000 1.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.5678      0.595 0.316 0.684 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      0.969 0.000 0.000 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.872 0.000 1.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.872 0.000 1.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      0.872 0.000 1.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.1163      0.861 0.028 0.972 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.872 0.000 1.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.872 0.000 1.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      0.969 0.000 0.000 1.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.5926      0.531 0.356 0.644 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.6286      0.270 0.464 0.536 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      0.872 0.000 1.000 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.6180      0.326 0.584 0.000 0.416
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      0.969 0.000 0.000 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.872 0.000 1.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      0.969 0.000 0.000 1.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      0.969 0.000 0.000 1.000

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.1474     0.8225 0.948 0.000 0.000 0.052
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.4661     0.6234 0.652 0.000 0.000 0.348
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.7393    -0.1850 0.180 0.488 0.000 0.332
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.6454     0.4722 0.380 0.076 0.000 0.544
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.1389     0.9372 0.000 0.000 0.952 0.048
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.4605     0.6336 0.664 0.000 0.000 0.336
#> 12078907-435A-46C9-96C1-24E71BF4602D     4  0.7310    -0.2476 0.152 0.000 0.408 0.440
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0921     0.8282 0.972 0.000 0.000 0.028
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.1474     0.8225 0.948 0.000 0.000 0.052
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0336     0.8937 0.000 0.992 0.000 0.008
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0817     0.8858 0.000 0.976 0.000 0.024
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.6894     0.4988 0.536 0.000 0.120 0.344
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.7225    -0.0912 0.160 0.512 0.000 0.328
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.1389     0.9372 0.000 0.000 0.952 0.048
#> E6F801F4-9289-4623-B7D9-60CA56C71683     4  0.7310    -0.2476 0.152 0.000 0.408 0.440
#> B644962A-DEFE-4169-A39E-EF2141F5125A     1  0.5436     0.2001 0.620 0.024 0.000 0.356
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     4  0.7310    -0.2476 0.152 0.000 0.408 0.440
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     1  0.5436     0.2001 0.620 0.024 0.000 0.356
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0336     0.8937 0.000 0.992 0.000 0.008
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.5244     0.3663 0.436 0.008 0.000 0.556
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.4304     0.6668 0.716 0.000 0.000 0.284
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.7289     0.6024 0.212 0.252 0.000 0.536
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0921     0.9532 0.000 0.000 0.972 0.028
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0707     0.8877 0.000 0.980 0.000 0.020
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.5244     0.3663 0.436 0.008 0.000 0.556
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.7393    -0.1850 0.180 0.488 0.000 0.332
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0707     0.8877 0.000 0.980 0.000 0.020
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1  0.5746     0.5855 0.612 0.000 0.040 0.348
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.7212    -0.0867 0.160 0.516 0.000 0.324
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.7684     0.4835 0.220 0.360 0.000 0.420
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.7227     0.6203 0.224 0.228 0.000 0.548
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0921     0.8282 0.972 0.000 0.000 0.028
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.5244     0.3663 0.436 0.008 0.000 0.556
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.1302     0.8248 0.956 0.000 0.000 0.044
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.3552     0.7605 0.024 0.848 0.000 0.128
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.3552     0.7605 0.024 0.848 0.000 0.128
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.4605     0.6336 0.664 0.000 0.000 0.336
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.7679     0.4875 0.220 0.356 0.000 0.424
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.1474     0.8225 0.948 0.000 0.000 0.052
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.2401     0.8249 0.004 0.904 0.000 0.092
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.4661     0.6234 0.652 0.000 0.000 0.348
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0188     0.9695 0.000 0.000 0.996 0.004
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.1474     0.8225 0.948 0.000 0.000 0.052
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.4605     0.6336 0.664 0.000 0.000 0.336
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.7252     0.6181 0.224 0.232 0.000 0.544
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.2053     0.8418 0.004 0.924 0.000 0.072
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.3552     0.7605 0.024 0.848 0.000 0.128
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.4304     0.6668 0.716 0.000 0.000 0.284
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.3552     0.7605 0.024 0.848 0.000 0.128
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.5244     0.3663 0.436 0.008 0.000 0.556
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.2125     0.8386 0.004 0.920 0.000 0.076
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0188     0.8953 0.000 0.996 0.000 0.004
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.1474     0.8225 0.948 0.000 0.000 0.052
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0188     0.8953 0.000 0.996 0.000 0.004
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.6464     0.4953 0.096 0.000 0.596 0.308
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0921     0.8282 0.972 0.000 0.000 0.028
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     4  0.7227     0.6203 0.224 0.228 0.000 0.548
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0336     0.8937 0.000 0.992 0.000 0.008
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.5587     0.5900 0.032 0.004 0.652 0.312
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.7423    -0.2204 0.180 0.476 0.000 0.344
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.1474     0.8225 0.948 0.000 0.000 0.052
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0188     0.8953 0.000 0.996 0.000 0.004
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.7583     0.4385 0.196 0.384 0.000 0.420
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.4907     0.5539 0.580 0.000 0.000 0.420
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.1489     0.8664 0.004 0.952 0.000 0.044
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.7583     0.4385 0.196 0.384 0.000 0.420
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.7602     0.4470 0.200 0.380 0.000 0.420
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.8324 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.5532     0.4995 0.068 0.704 0.000 0.228
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     1  0.5436     0.2001 0.620 0.024 0.000 0.356
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.6894     0.4988 0.536 0.000 0.120 0.344
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     4  0.7310    -0.2476 0.152 0.000 0.408 0.440
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.7227     0.6203 0.224 0.228 0.000 0.548
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.7512    -0.2761 0.192 0.460 0.000 0.348
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.1824     0.8567 0.004 0.936 0.000 0.060
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000     0.8966 0.000 1.000 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0188     0.9695 0.000 0.000 0.996 0.004
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     4  0.7647     0.4334 0.208 0.388 0.000 0.404
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.7227     0.6203 0.224 0.228 0.000 0.548
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0817     0.8858 0.000 0.976 0.000 0.024
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.6894     0.4988 0.536 0.000 0.120 0.344
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0188     0.8953 0.000 0.996 0.000 0.004
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000     0.9717 0.000 0.000 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000     0.9717 0.000 0.000 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.1484     0.8220 0.944 0.000 0.000 0.048 0.008
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.5740     0.4758 0.600 0.000 0.000 0.272 0.128
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.6094    -0.3972 0.128 0.488 0.000 0.384 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.5308     0.6390 0.304 0.076 0.000 0.620 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.4731     0.4715 0.000 0.000 0.640 0.032 0.328
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.5600     0.4982 0.616 0.000 0.000 0.268 0.116
#> 12078907-435A-46C9-96C1-24E71BF4602D     5  0.0162     0.7575 0.004 0.000 0.000 0.000 0.996
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0794     0.8308 0.972 0.000 0.000 0.028 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.1484     0.8220 0.944 0.000 0.000 0.048 0.008
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0290     0.8870 0.000 0.992 0.000 0.008 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0771     0.8781 0.000 0.976 0.000 0.020 0.004
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.7567     0.2473 0.484 0.000 0.112 0.272 0.132
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.5938    -0.3089 0.112 0.512 0.000 0.376 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.4731     0.4715 0.000 0.000 0.640 0.032 0.328
#> E6F801F4-9289-4623-B7D9-60CA56C71683     5  0.0162     0.7575 0.004 0.000 0.000 0.000 0.996
#> B644962A-DEFE-4169-A39E-EF2141F5125A     1  0.5372     0.1472 0.576 0.024 0.000 0.376 0.024
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     5  0.0162     0.7575 0.004 0.000 0.000 0.000 0.996
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     1  0.5372     0.1472 0.576 0.024 0.000 0.376 0.024
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0290     0.8870 0.000 0.992 0.000 0.008 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.3774     0.5611 0.296 0.000 0.000 0.704 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.4639     0.6038 0.708 0.000 0.000 0.236 0.056
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.5854     0.7810 0.152 0.252 0.000 0.596 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.4306     0.5096 0.000 0.000 0.660 0.012 0.328
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0609     0.8803 0.000 0.980 0.000 0.020 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.3774     0.5611 0.296 0.000 0.000 0.704 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.6094    -0.3972 0.128 0.488 0.000 0.384 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0609     0.8803 0.000 0.980 0.000 0.020 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1  0.6588     0.4084 0.560 0.000 0.032 0.272 0.136
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.5930    -0.3043 0.112 0.516 0.000 0.372 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.6323     0.6902 0.164 0.360 0.000 0.476 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.5792     0.7865 0.164 0.224 0.000 0.612 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0794     0.8308 0.972 0.000 0.000 0.028 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.3774     0.5611 0.296 0.000 0.000 0.704 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.1331     0.8247 0.952 0.000 0.000 0.040 0.008
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.2966     0.7366 0.016 0.848 0.000 0.136 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.2966     0.7366 0.016 0.848 0.000 0.136 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.5600     0.4982 0.616 0.000 0.000 0.268 0.116
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.6460     0.6936 0.164 0.356 0.000 0.476 0.004
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.1484     0.8220 0.944 0.000 0.000 0.048 0.008
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.2068     0.8097 0.004 0.904 0.000 0.092 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.5740     0.4758 0.600 0.000 0.000 0.272 0.128
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.2020     0.8634 0.000 0.000 0.900 0.000 0.100
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.1484     0.8220 0.944 0.000 0.000 0.048 0.008
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.5600     0.4982 0.616 0.000 0.000 0.268 0.116
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.5840     0.7870 0.164 0.232 0.000 0.604 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.1768     0.8290 0.004 0.924 0.000 0.072 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.2966     0.7366 0.016 0.848 0.000 0.136 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.4639     0.6038 0.708 0.000 0.000 0.236 0.056
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.2966     0.7366 0.016 0.848 0.000 0.136 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.3774     0.5611 0.296 0.000 0.000 0.704 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0162     0.8366 0.996 0.000 0.000 0.004 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.1831     0.8253 0.004 0.920 0.000 0.076 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0162     0.8366 0.996 0.000 0.000 0.004 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0162     0.8887 0.000 0.996 0.000 0.004 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.1484     0.8220 0.944 0.000 0.000 0.048 0.008
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0162     0.8887 0.000 0.996 0.000 0.004 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     5  0.7831     0.5198 0.084 0.000 0.212 0.288 0.416
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0794     0.8308 0.972 0.000 0.000 0.028 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     4  0.5792     0.7865 0.164 0.224 0.000 0.612 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0290     0.8870 0.000 0.992 0.000 0.008 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     5  0.7050     0.4431 0.008 0.004 0.268 0.288 0.432
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.6110    -0.4321 0.128 0.476 0.000 0.396 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.1484     0.8220 0.944 0.000 0.000 0.048 0.008
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0162     0.8887 0.000 0.996 0.000 0.004 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.6189     0.6517 0.140 0.384 0.000 0.476 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     5  0.4533    -0.0562 0.448 0.000 0.000 0.008 0.544
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.1282     0.8566 0.004 0.952 0.000 0.044 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.6189     0.6517 0.140 0.384 0.000 0.476 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.6214     0.6593 0.144 0.380 0.000 0.476 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.8374 1.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.4629     0.4185 0.052 0.704 0.000 0.244 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     1  0.5372     0.1472 0.576 0.024 0.000 0.376 0.024
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.7567     0.2473 0.484 0.000 0.112 0.272 0.132
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     5  0.0162     0.7575 0.004 0.000 0.000 0.000 0.996
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.5792     0.7865 0.164 0.224 0.000 0.612 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.6180    -0.4838 0.136 0.460 0.000 0.404 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.1662     0.8455 0.004 0.936 0.000 0.056 0.004
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000     0.8903 0.000 1.000 0.000 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.1608     0.8904 0.000 0.000 0.928 0.000 0.072
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     4  0.6281     0.6455 0.152 0.388 0.000 0.460 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.5792     0.7865 0.164 0.224 0.000 0.612 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0771     0.8781 0.000 0.976 0.000 0.020 0.004
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.7567     0.2473 0.484 0.000 0.112 0.272 0.132
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0162     0.8887 0.000 0.996 0.000 0.004 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0794     0.9303 0.000 0.000 0.972 0.000 0.028
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000     0.9522 0.000 0.000 1.000 0.000 0.000

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.1367      0.855 0.944 0.000 0.000 0.000 0.044 0.012
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.880 1.000 0.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     5  0.2969      0.843 0.224 0.000 0.000 0.000 0.776 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     4  0.3864      0.509 0.000 0.480 0.000 0.520 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.3112      0.536 0.096 0.068 0.000 0.836 0.000 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.5617      0.103 0.000 0.000 0.464 0.000 0.148 0.388
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     5  0.3076      0.835 0.240 0.000 0.000 0.000 0.760 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     6  0.1814      0.783 0.000 0.000 0.000 0.000 0.100 0.900
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.880 1.000 0.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0713      0.868 0.972 0.000 0.000 0.000 0.028 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.1367      0.855 0.944 0.000 0.000 0.000 0.044 0.012
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0260      0.928 0.000 0.992 0.000 0.008 0.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0692      0.917 0.000 0.976 0.000 0.020 0.004 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     5  0.2357      0.768 0.116 0.000 0.000 0.000 0.872 0.012
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.880 1.000 0.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.3868     -0.465 0.000 0.504 0.000 0.496 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.5617      0.103 0.000 0.000 0.464 0.000 0.148 0.388
#> E6F801F4-9289-4623-B7D9-60CA56C71683     6  0.1814      0.783 0.000 0.000 0.000 0.000 0.100 0.900
#> B644962A-DEFE-4169-A39E-EF2141F5125A     1  0.5437      0.197 0.492 0.012 0.000 0.436 0.028 0.032
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     6  0.1814      0.783 0.000 0.000 0.000 0.000 0.100 0.900
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.880 1.000 0.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     1  0.5437      0.197 0.492 0.012 0.000 0.436 0.028 0.032
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0260      0.928 0.000 0.992 0.000 0.008 0.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.880 1.000 0.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.1655      0.401 0.008 0.000 0.000 0.932 0.052 0.008
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.3862     -0.215 0.524 0.000 0.000 0.000 0.476 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.3101      0.744 0.000 0.244 0.000 0.756 0.000 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.4838      0.336 0.000 0.000 0.564 0.000 0.064 0.372
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0790      0.859 0.968 0.000 0.000 0.000 0.032 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0547      0.920 0.000 0.980 0.000 0.020 0.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.1655      0.401 0.008 0.000 0.000 0.932 0.052 0.008
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     4  0.3864      0.509 0.000 0.480 0.000 0.520 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.880 1.000 0.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0547      0.920 0.000 0.980 0.000 0.020 0.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     5  0.2980      0.833 0.192 0.000 0.000 0.000 0.800 0.008
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.3868     -0.460 0.000 0.508 0.000 0.492 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.3861      0.722 0.008 0.352 0.000 0.640 0.000 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.880 1.000 0.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.2912      0.739 0.000 0.216 0.000 0.784 0.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0713      0.868 0.972 0.000 0.000 0.000 0.028 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.1655      0.401 0.008 0.000 0.000 0.932 0.052 0.008
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.1225      0.860 0.952 0.000 0.000 0.000 0.036 0.012
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.2416      0.739 0.000 0.844 0.000 0.156 0.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.2416      0.739 0.000 0.844 0.000 0.156 0.000 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.880 1.000 0.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     5  0.3076      0.835 0.240 0.000 0.000 0.000 0.760 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.880 1.000 0.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.3983      0.724 0.008 0.348 0.000 0.640 0.004 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.1367      0.855 0.944 0.000 0.000 0.000 0.044 0.012
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.1814      0.831 0.000 0.900 0.000 0.100 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     5  0.2969      0.843 0.224 0.000 0.000 0.000 0.776 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.4295      0.666 0.000 0.000 0.728 0.000 0.112 0.160
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.1367      0.855 0.944 0.000 0.000 0.000 0.044 0.012
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     5  0.3076      0.835 0.240 0.000 0.000 0.000 0.760 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.2969      0.742 0.000 0.224 0.000 0.776 0.000 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.1556      0.854 0.000 0.920 0.000 0.080 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.2416      0.739 0.000 0.844 0.000 0.156 0.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.3862     -0.215 0.524 0.000 0.000 0.000 0.476 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.2416      0.739 0.000 0.844 0.000 0.156 0.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.1655      0.401 0.008 0.000 0.000 0.932 0.052 0.008
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.2631      0.666 0.820 0.000 0.000 0.000 0.180 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.880 1.000 0.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.1610      0.850 0.000 0.916 0.000 0.084 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.2664      0.659 0.816 0.000 0.000 0.000 0.184 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0146      0.930 0.000 0.996 0.000 0.004 0.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.1367      0.855 0.944 0.000 0.000 0.000 0.044 0.012
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0146      0.930 0.000 0.996 0.000 0.004 0.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     6  0.5229      0.359 0.080 0.000 0.004 0.000 0.424 0.492
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0713      0.868 0.972 0.000 0.000 0.000 0.028 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     4  0.2912      0.739 0.000 0.216 0.000 0.784 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.880 1.000 0.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0260      0.928 0.000 0.992 0.000 0.008 0.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.880 1.000 0.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     6  0.4892      0.441 0.000 0.000 0.060 0.000 0.440 0.500
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     4  0.3857      0.538 0.000 0.468 0.000 0.532 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.1367      0.855 0.944 0.000 0.000 0.000 0.044 0.012
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0146      0.930 0.000 0.996 0.000 0.004 0.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.880 1.000 0.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.3695      0.704 0.000 0.376 0.000 0.624 0.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.2389      0.837 0.000 0.000 0.888 0.000 0.060 0.052
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.880 1.000 0.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      0.880 1.000 0.000 0.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     5  0.5050      0.158 0.076 0.000 0.000 0.000 0.508 0.416
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.880 1.000 0.000 0.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      0.880 1.000 0.000 0.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.1141      0.886 0.000 0.948 0.000 0.052 0.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.3695      0.704 0.000 0.376 0.000 0.624 0.000 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      0.880 1.000 0.000 0.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.3684      0.707 0.000 0.372 0.000 0.628 0.000 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.880 1.000 0.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.3428      0.330 0.000 0.696 0.000 0.304 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     1  0.5437      0.197 0.492 0.012 0.000 0.436 0.028 0.032
#> 864194B9-3525-439D-84A4-EA257300335C     5  0.2357      0.768 0.116 0.000 0.000 0.000 0.872 0.012
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     6  0.1814      0.783 0.000 0.000 0.000 0.000 0.100 0.900
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.2912      0.739 0.000 0.216 0.000 0.784 0.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     4  0.3843      0.574 0.000 0.452 0.000 0.548 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.1411      0.878 0.000 0.936 0.000 0.060 0.004 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.932 0.000 1.000 0.000 0.000 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.3953      0.709 0.000 0.000 0.764 0.000 0.104 0.132
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     4  0.3706      0.699 0.000 0.380 0.000 0.620 0.000 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.2912      0.739 0.000 0.216 0.000 0.784 0.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0692      0.917 0.000 0.976 0.000 0.020 0.004 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     5  0.2357      0.768 0.116 0.000 0.000 0.000 0.872 0.012
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0146      0.930 0.000 0.996 0.000 0.004 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0972      0.897 0.000 0.000 0.964 0.000 0.008 0.028
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      0.924 0.000 0.000 1.000 0.000 0.000 0.000

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-ATC-hclust-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-ATC-hclust-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-ATC-hclust-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-ATC-hclust-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-ATC-hclust-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-ATC-hclust-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-ATC-hclust-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-ATC-hclust-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-ATC-hclust-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-ATC-hclust-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-ATC-hclust-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-ATC-hclust-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-ATC-hclust-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-ATC-hclust-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-ATC-hclust-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-ATC-hclust-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-ATC-hclust-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-ATC-hclust-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-ATC-hclust-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-ATC-hclust-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk ATC-hclust-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-ATC-hclust-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-ATC-hclust-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-ATC-hclust-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-ATC-hclust-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-ATC-hclust-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk ATC-hclust-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


ATC:kmeans**

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["ATC", "kmeans"]
# you can also extract it by
# res = res_list["ATC:kmeans"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#>   Subgroups are detected by 'kmeans' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 3.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk ATC-kmeans-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk ATC-kmeans-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 0.607           0.819       0.924         0.4691 0.509   0.509
#> 3 3 0.993           0.947       0.980         0.3663 0.755   0.560
#> 4 4 0.842           0.898       0.914         0.1120 0.903   0.735
#> 5 5 0.752           0.679       0.796         0.0720 0.935   0.778
#> 6 6 0.794           0.690       0.758         0.0464 0.890   0.587

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 3

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette    p1    p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1   0.975      0.427 0.592 0.408
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2   0.000      0.941 0.000 1.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1   0.000      0.866 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1   0.981      0.402 0.580 0.420
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1   0.000      0.866 1.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2   0.000      0.941 0.000 1.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1   0.000      0.866 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2   0.000      0.941 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1   0.000      0.866 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1   0.574      0.786 0.864 0.136
#> 12078907-435A-46C9-96C1-24E71BF4602D     1   0.000      0.866 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     1   0.000      0.866 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2   0.000      0.941 0.000 1.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     2   0.921      0.442 0.336 0.664
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2   0.000      0.941 0.000 1.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1   0.980      0.411 0.584 0.416
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1   0.574      0.786 0.864 0.136
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2   0.000      0.941 0.000 1.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2   0.000      0.941 0.000 1.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2   0.000      0.941 0.000 1.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2   0.000      0.941 0.000 1.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2   0.000      0.941 0.000 1.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2   0.000      0.941 0.000 1.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2   0.000      0.941 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2   0.000      0.941 0.000 1.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1   0.000      0.866 1.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1   0.000      0.866 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2   0.000      0.941 0.000 1.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     2   0.952      0.340 0.372 0.628
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2   0.000      0.941 0.000 1.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1   0.000      0.866 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1   0.000      0.866 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2   0.469      0.842 0.100 0.900
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1   0.000      0.866 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1   0.000      0.866 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     2   0.921      0.442 0.336 0.664
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1   0.000      0.866 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2   0.000      0.941 0.000 1.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2   0.000      0.941 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2   0.000      0.941 0.000 1.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     2   0.921      0.442 0.336 0.664
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1   0.000      0.866 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2   0.327      0.884 0.060 0.940
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1   0.574      0.786 0.864 0.136
#> C3087790-7575-4662-A7DC-B32808B9A775     2   0.000      0.941 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1   0.000      0.866 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1   0.000      0.866 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1   0.981      0.402 0.580 0.420
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2   0.000      0.941 0.000 1.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2   0.000      0.941 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1   0.000      0.866 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2   0.000      0.941 0.000 1.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2   0.000      0.941 0.000 1.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     2   0.929      0.420 0.344 0.656
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2   0.000      0.941 0.000 1.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2   0.000      0.941 0.000 1.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1   0.000      0.866 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2   0.000      0.941 0.000 1.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2   0.000      0.941 0.000 1.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2   0.000      0.941 0.000 1.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1   0.980      0.411 0.584 0.416
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2   0.000      0.941 0.000 1.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1   0.981      0.402 0.580 0.420
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2   0.000      0.941 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1   0.981      0.402 0.580 0.420
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2   0.000      0.941 0.000 1.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2   0.000      0.941 0.000 1.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2   0.000      0.941 0.000 1.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     1   0.000      0.866 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1   0.000      0.866 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     2   0.552      0.808 0.128 0.872
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1   0.955      0.485 0.624 0.376
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     2   0.955      0.327 0.376 0.624
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2   0.000      0.941 0.000 1.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1   0.000      0.866 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1   0.000      0.866 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2   0.000      0.941 0.000 1.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2   0.000      0.941 0.000 1.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1   0.980      0.411 0.584 0.416
#> E61A5740-7C26-4730-9610-A3C710098B92     1   0.000      0.866 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2   0.000      0.941 0.000 1.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1   0.000      0.866 1.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2   0.000      0.941 0.000 1.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1   0.000      0.866 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1   0.563      0.789 0.868 0.132
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1   0.574      0.786 0.864 0.136
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2   0.000      0.941 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2   0.000      0.941 0.000 1.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2   0.000      0.941 0.000 1.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1   0.506      0.803 0.888 0.112
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2   0.000      0.941 0.000 1.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1   0.000      0.866 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2   0.000      0.941 0.000 1.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2   0.000      0.941 0.000 1.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2   0.000      0.941 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1   0.981      0.402 0.580 0.420
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     2   0.689      0.732 0.184 0.816
#> 10161FA0-E389-4D98-B854-098AF908C898     1   0.000      0.866 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2   0.000      0.941 0.000 1.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1   0.981      0.402 0.580 0.420
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2   0.000      0.941 0.000 1.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1   0.980      0.411 0.584 0.416
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2   0.000      0.941 0.000 1.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1   0.000      0.866 1.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1   0.980      0.411 0.584 0.416
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2   0.000      0.941 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1   0.981      0.402 0.580 0.420
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2   0.000      0.941 0.000 1.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     2   0.921      0.442 0.336 0.664
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1   0.000      0.866 1.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2   0.000      0.941 0.000 1.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2   0.000      0.941 0.000 1.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1   0.981      0.402 0.580 0.420
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2   0.000      0.941 0.000 1.000
#> 86689648-2C4A-456F-A551-B9731400846C     1   0.000      0.866 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     2   0.921      0.442 0.336 0.664
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2   0.000      0.941 0.000 1.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     1   0.000      0.866 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1   0.000      0.866 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     2   0.706      0.720 0.192 0.808
#> EF68CF6E-F46D-477A-B125-153DDE949C07     2   0.921      0.442 0.336 0.664
#> B18217F7-303C-4104-848E-A354DADE72BF     1   0.000      0.866 1.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1   0.000      0.866 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1   0.574      0.786 0.864 0.136
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     2   0.689      0.732 0.184 0.816
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2   0.000      0.941 0.000 1.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2   0.000      0.941 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1   0.995      0.283 0.540 0.460
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2   0.000      0.941 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2   0.000      0.941 0.000 1.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     2   0.921      0.442 0.336 0.664
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2   0.000      0.941 0.000 1.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1   0.000      0.866 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2   0.000      0.941 0.000 1.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2   0.000      0.941 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     1   0.000      0.866 1.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1   0.000      0.866 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2   0.000      0.941 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2   0.000      0.941 0.000 1.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2   0.000      0.941 0.000 1.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1   0.000      0.866 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2   0.000      0.941 0.000 1.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2   0.000      0.941 0.000 1.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2   0.000      0.941 0.000 1.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2   0.000      0.941 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2   0.000      0.941 0.000 1.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2   0.000      0.941 0.000 1.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1   0.000      0.866 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2   0.000      0.941 0.000 1.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2   0.000      0.941 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2   0.000      0.941 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1   0.000      0.866 1.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1   0.000      0.866 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2   0.000      0.941 0.000 1.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     1   0.000      0.866 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1   0.000      0.866 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1    p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.9721 1.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000     0.9782 0.000 1.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000     0.9821 0.000 0.000 1.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9721 1.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.0000     0.9721 1.000 0.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000     0.9782 0.000 1.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000     0.9821 0.000 0.000 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.5397     0.6061 0.280 0.720 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000     0.9821 0.000 0.000 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000     0.9721 1.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000     0.9821 0.000 0.000 1.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000     0.9821 0.000 0.000 1.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000     0.9782 0.000 1.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9721 1.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000     0.9782 0.000 1.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000     0.9721 1.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000     0.9721 1.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000     0.9782 0.000 1.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000     0.9782 0.000 1.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.9782 0.000 1.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000     0.9782 0.000 1.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.9782 0.000 1.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000     0.9782 0.000 1.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000     0.9782 0.000 1.000 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     0.9782 0.000 1.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.1753     0.9273 0.952 0.000 0.048
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.9821 0.000 0.000 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000     0.9782 0.000 1.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9721 1.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000     0.9782 0.000 1.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000     0.9821 0.000 0.000 1.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1  0.0000     0.9721 1.000 0.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     1  0.5968     0.4221 0.636 0.364 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9821 0.000 0.000 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1  0.1643     0.9313 0.956 0.000 0.044
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9721 1.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000     0.9821 0.000 0.000 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.9782 0.000 1.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     1  0.5882     0.4591 0.652 0.348 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000     0.9782 0.000 1.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9721 1.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000     0.9821 0.000 0.000 1.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     1  0.0000     0.9721 1.000 0.000 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000     0.9721 1.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000     0.9782 0.000 1.000 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9821 0.000 0.000 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000     0.9821 0.000 0.000 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9721 1.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000     0.9782 0.000 1.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     1  0.5291     0.6279 0.732 0.268 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9821 0.000 0.000 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000     0.9782 0.000 1.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.9782 0.000 1.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9721 1.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000     0.9782 0.000 1.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000     0.9782 0.000 1.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1  0.0000     0.9721 1.000 0.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000     0.9782 0.000 1.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.5216     0.6426 0.260 0.740 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.9782 0.000 1.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9721 1.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000     0.9782 0.000 1.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9721 1.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0747     0.9625 0.016 0.984 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000     0.9721 1.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000     0.9782 0.000 1.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000     0.9782 0.000 1.000 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000     0.9782 0.000 1.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9821 0.000 0.000 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000     0.9821 0.000 0.000 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9721 1.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000     0.9721 1.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9721 1.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000     0.9782 0.000 1.000 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.9821 0.000 0.000 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.9821 0.000 0.000 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000     0.9782 0.000 1.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000     0.9782 0.000 1.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000     0.9721 1.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.9821 0.000 0.000 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000     0.9782 0.000 1.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.0000     0.9721 1.000 0.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000     0.9782 0.000 1.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000     0.9821 0.000 0.000 1.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000     0.9721 1.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000     0.9721 1.000 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000     0.9782 0.000 1.000 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000     0.9782 0.000 1.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000     0.9782 0.000 1.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000     0.9721 1.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000     0.9782 0.000 1.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9821 0.000 0.000 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000     0.9782 0.000 1.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000     0.9782 0.000 1.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.6126     0.3295 0.400 0.600 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9721 1.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9721 1.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9821 0.000 0.000 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000     0.9782 0.000 1.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000     0.9721 1.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000     0.9782 0.000 1.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000     0.9721 1.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000     0.9782 0.000 1.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.1753     0.9273 0.952 0.000 0.048
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9721 1.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000     0.9782 0.000 1.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9721 1.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000     0.9782 0.000 1.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9721 1.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.3879     0.8124 0.152 0.000 0.848
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000     0.9782 0.000 1.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     0.9782 0.000 1.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9721 1.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000     0.9782 0.000 1.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000     0.9821 0.000 0.000 1.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9721 1.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000     0.9782 0.000 1.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000     0.9821 0.000 0.000 1.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000     0.9821 0.000 0.000 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9721 1.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9721 1.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.0000     0.9721 1.000 0.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.9821 0.000 0.000 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000     0.9721 1.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000     0.9721 1.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000     0.9782 0.000 1.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000     0.9782 0.000 1.000 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.9721 1.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000     0.9782 0.000 1.000 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000     0.9782 0.000 1.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9721 1.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000     0.9782 0.000 1.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000     0.9821 0.000 0.000 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000     0.9782 0.000 1.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.6299     0.0856 0.476 0.524 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.6215     0.2593 0.428 0.000 0.572
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000     0.9821 0.000 0.000 1.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000     0.9782 0.000 1.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000     0.9782 0.000 1.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     0.9782 0.000 1.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000     0.9821 0.000 0.000 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000     0.9782 0.000 1.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000     0.9782 0.000 1.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000     0.9782 0.000 1.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000     0.9782 0.000 1.000 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.9782 0.000 1.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000     0.9782 0.000 1.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000     0.9821 0.000 0.000 1.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000     0.9782 0.000 1.000 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000     0.9782 0.000 1.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000     0.9782 0.000 1.000 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.0000     0.9721 1.000 0.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000     0.9821 0.000 0.000 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000     0.9782 0.000 1.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000     0.9821 0.000 0.000 1.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000     0.9821 0.000 0.000 1.000

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.1118      0.901 0.964 0.000 0.000 0.036
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0188      0.959 0.000 0.000 0.996 0.004
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.4304      0.788 0.716 0.000 0.000 0.284
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0469      0.959 0.000 0.000 0.988 0.012
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.5940      0.762 0.188 0.120 0.000 0.692
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.3219      0.863 0.000 0.000 0.836 0.164
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.3074      0.867 0.848 0.000 0.000 0.152
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.3942      0.797 0.000 0.000 0.764 0.236
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.1022      0.954 0.000 0.000 0.968 0.032
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.1118      0.901 0.964 0.000 0.000 0.036
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.2921      0.868 0.860 0.000 0.000 0.140
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.2216      0.859 0.000 0.908 0.000 0.092
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.4277      0.788 0.720 0.000 0.000 0.280
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.959 0.000 0.000 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.1118      0.954 0.000 0.000 0.964 0.036
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1  0.4605      0.745 0.664 0.000 0.000 0.336
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.5143      0.716 0.172 0.076 0.000 0.752
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0336      0.958 0.000 0.000 0.992 0.008
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1  0.4605      0.745 0.664 0.000 0.000 0.336
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0336      0.958 0.000 0.000 0.992 0.008
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.5744      0.752 0.184 0.108 0.000 0.708
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.1022      0.954 0.000 0.000 0.968 0.032
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.4454      0.537 0.308 0.000 0.000 0.692
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.2868      0.869 0.864 0.000 0.000 0.136
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.4679      0.776 0.000 0.352 0.000 0.648
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0336      0.958 0.000 0.000 0.992 0.008
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.1211      0.952 0.000 0.000 0.960 0.040
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.5463      0.650 0.256 0.052 0.000 0.692
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.959 0.000 0.000 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1  0.4522      0.759 0.680 0.000 0.000 0.320
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.5952      0.765 0.184 0.124 0.000 0.692
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.903 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.4790      0.735 0.000 0.380 0.000 0.620
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.5759      0.795 0.080 0.232 0.000 0.688
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.1118      0.901 0.964 0.000 0.000 0.036
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.3942      0.562 0.000 0.764 0.000 0.236
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.959 0.000 0.000 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0469      0.959 0.000 0.000 0.988 0.012
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.2469      0.883 0.892 0.000 0.000 0.108
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.4819      0.779 0.004 0.344 0.000 0.652
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0336      0.958 0.000 0.000 0.992 0.008
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0336      0.958 0.000 0.000 0.992 0.008
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.1118      0.901 0.964 0.000 0.000 0.036
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.959 0.000 0.000 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.4304      0.788 0.716 0.000 0.000 0.284
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.1211      0.952 0.000 0.000 0.960 0.040
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.2921      0.868 0.860 0.000 0.000 0.140
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.2704      0.878 0.876 0.000 0.000 0.124
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.4679      0.776 0.000 0.352 0.000 0.648
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.2973      0.866 0.856 0.000 0.000 0.144
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.959 0.000 0.000 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.5926      0.757 0.192 0.116 0.000 0.692
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.959 0.000 0.000 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.1118      0.901 0.964 0.000 0.000 0.036
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.4431      0.766 0.696 0.000 0.000 0.304
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.1118      0.901 0.964 0.000 0.000 0.036
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     4  0.4679      0.776 0.000 0.352 0.000 0.648
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.903 1.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.6436      0.606 0.100 0.000 0.608 0.292
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.1211      0.933 0.000 0.960 0.000 0.040
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.1118      0.901 0.964 0.000 0.000 0.036
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0336      0.958 0.000 0.000 0.992 0.008
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.4713      0.766 0.000 0.360 0.000 0.640
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0592      0.959 0.000 0.000 0.984 0.016
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.1211      0.952 0.000 0.000 0.960 0.040
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.4382      0.779 0.704 0.000 0.000 0.296
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.959 0.000 0.000 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.2647      0.875 0.880 0.000 0.000 0.120
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.4713      0.766 0.000 0.360 0.000 0.640
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.4679      0.776 0.000 0.352 0.000 0.648
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0336      0.903 0.992 0.000 0.000 0.008
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.1118      0.954 0.000 0.000 0.964 0.036
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.5940      0.762 0.188 0.120 0.000 0.692
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.7878      0.239 0.384 0.000 0.292 0.324
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.4304      0.747 0.000 0.000 0.716 0.284
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.4679      0.776 0.000 0.352 0.000 0.648
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0336      0.958 0.000 0.000 0.992 0.008
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.3942      0.562 0.000 0.764 0.000 0.236
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.1211      0.952 0.000 0.000 0.960 0.040
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.2281      0.853 0.000 0.904 0.000 0.096
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.4679      0.776 0.000 0.352 0.000 0.648
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.4382      0.779 0.704 0.000 0.000 0.296
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.1022      0.954 0.000 0.000 0.968 0.032
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.983 0.000 1.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0592      0.959 0.000 0.000 0.984 0.016
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.1211      0.952 0.000 0.000 0.960 0.040

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.4294     0.5690 0.532 0.000 0.000 0.000 0.468
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.3242     0.7891 0.000 0.784 0.000 0.216 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0609     0.9353 0.000 0.000 0.980 0.020 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.4242     0.6388 0.572 0.000 0.000 0.000 0.428
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     5  0.1121     0.6474 0.044 0.000 0.000 0.000 0.956
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.2813     0.7431 0.000 0.832 0.000 0.168 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.1800     0.9278 0.000 0.000 0.932 0.048 0.020
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     1  0.4971    -0.7723 0.512 0.028 0.000 0.460 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.4243     0.7369 0.000 0.000 0.712 0.024 0.264
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     5  0.3774     0.3516 0.296 0.000 0.000 0.000 0.704
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.5375     0.5557 0.000 0.000 0.568 0.064 0.368
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.1661     0.9296 0.000 0.000 0.940 0.036 0.024
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.3430     0.7876 0.004 0.776 0.000 0.220 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.4242     0.6388 0.572 0.000 0.000 0.000 0.428
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.3274     0.7882 0.000 0.780 0.000 0.220 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.4291     0.5799 0.536 0.000 0.000 0.000 0.464
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     5  0.4101     0.0514 0.372 0.000 0.000 0.000 0.628
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.3274     0.7882 0.000 0.780 0.000 0.220 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.3398     0.7884 0.004 0.780 0.000 0.216 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0404     0.8118 0.012 0.988 0.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.3876     0.7464 0.000 0.684 0.000 0.316 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0404     0.8118 0.012 0.988 0.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.3274     0.7882 0.000 0.780 0.000 0.220 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.4650     0.5789 0.012 0.520 0.000 0.468 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0404     0.8118 0.012 0.988 0.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     5  0.0963     0.6493 0.036 0.000 0.000 0.000 0.964
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0404     0.9353 0.000 0.000 0.988 0.012 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.3596     0.7880 0.012 0.776 0.000 0.212 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.4242     0.6388 0.572 0.000 0.000 0.000 0.428
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.2813     0.7431 0.000 0.832 0.000 0.168 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.1568     0.9302 0.000 0.000 0.944 0.020 0.036
#> E6F801F4-9289-4623-B7D9-60CA56C71683     5  0.1043     0.6300 0.000 0.000 0.000 0.040 0.960
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.5703     0.7660 0.316 0.004 0.000 0.588 0.092
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.1270     0.9292 0.000 0.000 0.948 0.052 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     5  0.1043     0.6300 0.000 0.000 0.000 0.040 0.960
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.4242     0.6388 0.572 0.000 0.000 0.000 0.428
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.1197     0.9294 0.000 0.000 0.952 0.048 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0404     0.8118 0.012 0.988 0.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.5002     0.7475 0.484 0.016 0.000 0.492 0.008
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.2929     0.7361 0.000 0.820 0.000 0.180 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.4242     0.6388 0.572 0.000 0.000 0.000 0.428
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.1579     0.9304 0.000 0.000 0.944 0.032 0.024
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     1  0.4287    -0.7316 0.540 0.000 0.000 0.460 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     5  0.3774     0.3526 0.296 0.000 0.000 0.000 0.704
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.5500     0.8513 0.236 0.124 0.000 0.640 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.1270     0.9292 0.000 0.000 0.948 0.052 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.1836     0.9275 0.000 0.000 0.932 0.032 0.036
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.4242     0.6388 0.572 0.000 0.000 0.000 0.428
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.4138     0.7260 0.000 0.616 0.000 0.384 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     1  0.4735    -0.7558 0.524 0.016 0.000 0.460 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0162     0.9356 0.000 0.000 0.996 0.004 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.2813     0.7431 0.000 0.832 0.000 0.168 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0404     0.8118 0.012 0.988 0.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.4242     0.6388 0.572 0.000 0.000 0.000 0.428
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.3430     0.7876 0.004 0.776 0.000 0.220 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.4219     0.6997 0.000 0.584 0.000 0.416 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     5  0.0162     0.6433 0.004 0.000 0.000 0.000 0.996
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.2813     0.7431 0.000 0.832 0.000 0.168 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.4697     0.8196 0.320 0.032 0.000 0.648 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0693     0.8114 0.012 0.980 0.000 0.008 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.4256     0.6286 0.564 0.000 0.000 0.000 0.436
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.5866     0.7281 0.156 0.248 0.000 0.596 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.4249     0.6341 0.568 0.000 0.000 0.000 0.432
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     1  0.5350    -0.7998 0.488 0.052 0.000 0.460 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.4291     0.5799 0.536 0.000 0.000 0.000 0.464
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.2813     0.7431 0.000 0.832 0.000 0.168 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.4384     0.5044 0.016 0.660 0.000 0.324 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.3628     0.7865 0.012 0.772 0.000 0.216 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0162     0.9356 0.000 0.000 0.996 0.004 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.1800     0.9278 0.000 0.000 0.932 0.048 0.020
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.4242     0.6388 0.572 0.000 0.000 0.000 0.428
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     5  0.3857     0.3023 0.312 0.000 0.000 0.000 0.688
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.4242     0.6388 0.572 0.000 0.000 0.000 0.428
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.5434     0.8504 0.232 0.120 0.000 0.648 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.1270     0.9292 0.000 0.000 0.948 0.052 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.1270     0.9292 0.000 0.000 0.948 0.052 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0807     0.8126 0.012 0.976 0.000 0.012 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.3596     0.7880 0.012 0.776 0.000 0.212 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.4291     0.5799 0.536 0.000 0.000 0.000 0.464
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0404     0.9353 0.000 0.000 0.988 0.012 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0703     0.8100 0.000 0.976 0.000 0.024 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     5  0.1121     0.6474 0.044 0.000 0.000 0.000 0.956
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.3242     0.7891 0.000 0.784 0.000 0.216 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.1568     0.9302 0.000 0.000 0.944 0.020 0.036
#> 5D916BB7-6B38-414E-875E-2497C91B209A     5  0.3612     0.4116 0.268 0.000 0.000 0.000 0.732
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     5  0.3837     0.3163 0.308 0.000 0.000 0.000 0.692
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.6085     0.8463 0.404 0.124 0.000 0.472 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0912     0.8108 0.012 0.972 0.000 0.016 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.2891     0.7369 0.000 0.824 0.000 0.176 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     5  0.3561     0.4256 0.260 0.000 0.000 0.000 0.740
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.2929     0.7361 0.000 0.820 0.000 0.180 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0162     0.9356 0.000 0.000 0.996 0.004 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.3628     0.7865 0.012 0.772 0.000 0.216 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.3628     0.7865 0.012 0.772 0.000 0.216 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     1  0.4897    -0.7669 0.516 0.024 0.000 0.460 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.4242     0.6388 0.572 0.000 0.000 0.000 0.428
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.4242     0.6388 0.572 0.000 0.000 0.000 0.428
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0162     0.9356 0.000 0.000 0.996 0.004 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0510     0.8114 0.000 0.984 0.000 0.016 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.4256     0.6255 0.564 0.000 0.000 0.000 0.436
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.1043     0.8074 0.000 0.960 0.000 0.040 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.4291     0.5799 0.536 0.000 0.000 0.000 0.464
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.3274     0.7882 0.000 0.780 0.000 0.220 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     5  0.0000     0.6411 0.000 0.000 0.000 0.000 1.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.4291     0.5799 0.536 0.000 0.000 0.000 0.464
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     4  0.6085     0.8463 0.404 0.124 0.000 0.472 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.4256     0.6286 0.564 0.000 0.000 0.000 0.436
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0290     0.8125 0.000 0.992 0.000 0.008 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.4242     0.6388 0.572 0.000 0.000 0.000 0.428
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     5  0.4644    -0.3187 0.000 0.000 0.460 0.012 0.528
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.3274     0.6903 0.000 0.780 0.000 0.220 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.1012     0.8105 0.012 0.968 0.000 0.020 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.4291     0.5799 0.536 0.000 0.000 0.000 0.464
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.3274     0.7882 0.000 0.780 0.000 0.220 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.1197     0.9294 0.000 0.000 0.952 0.048 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.4242     0.6388 0.572 0.000 0.000 0.000 0.428
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.5725     0.7473 0.156 0.224 0.000 0.620 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.1809     0.9303 0.000 0.000 0.928 0.060 0.012
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.1836     0.9275 0.000 0.000 0.932 0.032 0.036
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.4242     0.6388 0.572 0.000 0.000 0.000 0.428
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.4242     0.6388 0.572 0.000 0.000 0.000 0.428
#> B18217F7-303C-4104-848E-A354DADE72BF     5  0.1997     0.6418 0.036 0.000 0.000 0.040 0.924
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0404     0.9353 0.000 0.000 0.988 0.012 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     5  0.4138    -0.0236 0.384 0.000 0.000 0.000 0.616
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.4242     0.6388 0.572 0.000 0.000 0.000 0.428
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0404     0.8121 0.000 0.988 0.000 0.012 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.5728     0.7964 0.200 0.176 0.000 0.624 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.4242     0.6388 0.572 0.000 0.000 0.000 0.428
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.5475     0.8488 0.232 0.124 0.000 0.644 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.3274     0.7882 0.000 0.780 0.000 0.220 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.4242     0.6388 0.572 0.000 0.000 0.000 0.428
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.2813     0.7431 0.000 0.832 0.000 0.168 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.1836     0.9275 0.000 0.000 0.932 0.032 0.036
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.3596     0.7880 0.012 0.776 0.000 0.212 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.4907     0.7555 0.484 0.024 0.000 0.492 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     5  0.3210     0.4304 0.000 0.000 0.212 0.000 0.788
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.5447     0.5009 0.000 0.000 0.536 0.064 0.400
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.6072     0.8497 0.392 0.124 0.000 0.484 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.3274     0.7882 0.000 0.780 0.000 0.220 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.2813     0.7431 0.000 0.832 0.000 0.168 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.1197     0.9294 0.000 0.000 0.952 0.048 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0693     0.8114 0.012 0.980 0.000 0.008 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0912     0.8108 0.012 0.972 0.000 0.016 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.3274     0.7882 0.000 0.780 0.000 0.220 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.4384     0.5044 0.016 0.660 0.000 0.324 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0404     0.8118 0.012 0.988 0.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.3596     0.7880 0.012 0.776 0.000 0.212 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.1836     0.9275 0.000 0.000 0.932 0.032 0.036
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.4109     0.5906 0.012 0.700 0.000 0.288 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.5915     0.8587 0.324 0.124 0.000 0.552 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.4126     0.7197 0.000 0.620 0.000 0.380 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     5  0.0880     0.6497 0.032 0.000 0.000 0.000 0.968
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.1579     0.9304 0.000 0.000 0.944 0.032 0.024
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0404     0.8118 0.012 0.988 0.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.1809     0.9303 0.000 0.000 0.928 0.060 0.012
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.1836     0.9275 0.000 0.000 0.932 0.032 0.036

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0520     0.8742 0.984 0.000 0.000 0.000 0.008 0.008
#> 11C93F5A-2187-484A-805D-BB696C1B9032     5  0.3804     0.9326 0.000 0.424 0.000 0.000 0.576 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.1074     0.9284 0.000 0.000 0.960 0.012 0.028 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0363     0.8747 0.988 0.000 0.000 0.000 0.012 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     6  0.3633     0.7009 0.252 0.000 0.000 0.004 0.012 0.732
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0146     0.5711 0.000 0.996 0.000 0.000 0.000 0.004
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.2002     0.9193 0.000 0.000 0.908 0.004 0.076 0.012
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.0717     0.7848 0.016 0.000 0.000 0.976 0.000 0.008
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.5245     0.5517 0.000 0.000 0.616 0.012 0.104 0.268
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.4393    -0.1263 0.500 0.000 0.000 0.004 0.016 0.480
#> 12078907-435A-46C9-96C1-24E71BF4602D     6  0.6083     0.0466 0.000 0.000 0.364 0.000 0.272 0.364
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.1942     0.9145 0.000 0.000 0.916 0.008 0.064 0.012
#> 1709294C-7194-493D-AF5C-574927F57C0C     5  0.3797     0.9342 0.000 0.420 0.000 0.000 0.580 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0146     0.8771 0.996 0.000 0.000 0.000 0.004 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     5  0.3797     0.9342 0.000 0.420 0.000 0.000 0.580 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0520     0.8742 0.984 0.000 0.000 0.000 0.008 0.008
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.3653     0.4305 0.692 0.000 0.000 0.000 0.008 0.300
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     5  0.3797     0.9342 0.000 0.420 0.000 0.000 0.580 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     5  0.3797     0.9310 0.000 0.420 0.000 0.000 0.580 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.4468     0.4093 0.000 0.696 0.000 0.000 0.212 0.092
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.3615    -0.0703 0.000 0.700 0.000 0.000 0.292 0.008
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.4468     0.4093 0.000 0.696 0.000 0.000 0.212 0.092
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     5  0.3797     0.9342 0.000 0.420 0.000 0.000 0.580 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.6289     0.0389 0.000 0.520 0.000 0.072 0.304 0.104
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.4468     0.4093 0.000 0.696 0.000 0.000 0.212 0.092
#> 00B1B6C5-C4C1-4248-8879-F30727137391     6  0.3126     0.7103 0.248 0.000 0.000 0.000 0.000 0.752
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0508     0.9286 0.000 0.000 0.984 0.012 0.004 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     5  0.5216     0.7805 0.000 0.424 0.000 0.000 0.484 0.092
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.8776 1.000 0.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0146     0.5711 0.000 0.996 0.000 0.000 0.000 0.004
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.2554     0.9085 0.000 0.000 0.880 0.012 0.088 0.020
#> E6F801F4-9289-4623-B7D9-60CA56C71683     6  0.5437     0.6882 0.228 0.000 0.000 0.000 0.196 0.576
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.5993     0.7528 0.024 0.156 0.000 0.640 0.044 0.136
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.1429     0.9209 0.000 0.000 0.940 0.004 0.052 0.004
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     6  0.5461     0.6867 0.228 0.000 0.000 0.000 0.200 0.572
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0146     0.8772 0.996 0.000 0.000 0.000 0.004 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.1901     0.9194 0.000 0.000 0.912 0.004 0.076 0.008
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.4468     0.4093 0.000 0.696 0.000 0.000 0.212 0.092
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.3616     0.7866 0.016 0.012 0.000 0.824 0.040 0.108
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.1003     0.5561 0.000 0.964 0.000 0.000 0.020 0.016
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0260     0.8761 0.992 0.000 0.000 0.000 0.008 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.1882     0.9161 0.000 0.000 0.920 0.008 0.060 0.012
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.0717     0.7848 0.016 0.000 0.000 0.976 0.000 0.008
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.4175    -0.0439 0.524 0.000 0.000 0.000 0.012 0.464
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.5564     0.7702 0.000 0.228 0.000 0.628 0.044 0.100
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.1364     0.9220 0.000 0.000 0.944 0.004 0.048 0.004
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.2605     0.9045 0.000 0.000 0.876 0.012 0.092 0.020
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0458     0.8729 0.984 0.000 0.000 0.000 0.016 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.3945    -0.3665 0.000 0.612 0.000 0.000 0.380 0.008
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.0717     0.7848 0.016 0.000 0.000 0.976 0.000 0.008
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0405     0.9290 0.000 0.000 0.988 0.004 0.008 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0146     0.5711 0.000 0.996 0.000 0.000 0.000 0.004
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.4468     0.4093 0.000 0.696 0.000 0.000 0.212 0.092
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.8776 1.000 0.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     5  0.3797     0.9342 0.000 0.420 0.000 0.000 0.580 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.4531    -0.2432 0.000 0.556 0.000 0.000 0.408 0.036
#> 54DCC779-B458-4805-8912-4501C7A7E95C     6  0.3437     0.7149 0.236 0.000 0.000 0.004 0.008 0.752
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0291     0.5690 0.000 0.992 0.000 0.000 0.004 0.004
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.6180     0.7516 0.016 0.252 0.000 0.580 0.044 0.108
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.4156     0.4613 0.000 0.732 0.000 0.000 0.188 0.080
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0458     0.8729 0.984 0.000 0.000 0.000 0.016 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.4234     0.6117 0.000 0.408 0.000 0.576 0.004 0.012
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0260     0.8764 0.992 0.000 0.000 0.000 0.008 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.1129     0.7905 0.008 0.012 0.000 0.964 0.004 0.012
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0520     0.8742 0.984 0.000 0.000 0.000 0.008 0.008
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0405     0.5676 0.000 0.988 0.000 0.000 0.008 0.004
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.4918     0.3502 0.000 0.720 0.000 0.136 0.052 0.092
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     5  0.4276     0.9030 0.000 0.416 0.000 0.000 0.564 0.020
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0146     0.9291 0.000 0.000 0.996 0.004 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.2002     0.9193 0.000 0.000 0.908 0.004 0.076 0.012
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.8776 1.000 0.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.4386    -0.0675 0.516 0.000 0.000 0.004 0.016 0.464
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0146     0.8771 0.996 0.000 0.000 0.000 0.004 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.5841     0.7494 0.000 0.268 0.000 0.580 0.044 0.108
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.1584     0.9195 0.000 0.000 0.928 0.000 0.064 0.008
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.1584     0.9195 0.000 0.000 0.928 0.000 0.064 0.008
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.4545     0.3763 0.000 0.684 0.000 0.000 0.224 0.092
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     5  0.5216     0.7805 0.000 0.424 0.000 0.000 0.484 0.092
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0520     0.8742 0.984 0.000 0.000 0.000 0.008 0.008
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0508     0.9286 0.000 0.000 0.984 0.012 0.004 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.3530     0.4970 0.000 0.792 0.000 0.000 0.152 0.056
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     6  0.3633     0.7009 0.252 0.000 0.000 0.004 0.012 0.732
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     5  0.3804     0.9326 0.000 0.424 0.000 0.000 0.576 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.2554     0.9085 0.000 0.000 0.880 0.012 0.088 0.020
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.4179    -0.0884 0.516 0.000 0.000 0.000 0.012 0.472
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.4393    -0.1263 0.500 0.000 0.000 0.004 0.016 0.480
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.1578     0.8016 0.000 0.048 0.000 0.936 0.004 0.012
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.4062     0.4768 0.000 0.744 0.000 0.000 0.176 0.080
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0520     0.5657 0.000 0.984 0.000 0.000 0.008 0.008
#> A5613D6C-B394-4619-AA09-022348BD0B7C     6  0.4184     0.0912 0.488 0.000 0.000 0.000 0.012 0.500
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0909     0.5586 0.000 0.968 0.000 0.000 0.020 0.012
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0405     0.9290 0.000 0.000 0.988 0.004 0.008 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     5  0.3915     0.9209 0.000 0.412 0.000 0.000 0.584 0.004
#> DD36DD53-C576-44EF-A68B-E009B37A2385     5  0.4276     0.9030 0.000 0.416 0.000 0.000 0.564 0.020
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.0717     0.7848 0.016 0.000 0.000 0.976 0.000 0.008
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0458     0.8729 0.984 0.000 0.000 0.000 0.016 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0146     0.8772 0.996 0.000 0.000 0.000 0.004 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0405     0.9290 0.000 0.000 0.988 0.004 0.008 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.4030     0.4690 0.000 0.748 0.000 0.000 0.172 0.080
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.1657     0.8231 0.928 0.000 0.000 0.000 0.016 0.056
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.2838     0.4622 0.000 0.808 0.000 0.000 0.188 0.004
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0520     0.8742 0.984 0.000 0.000 0.000 0.008 0.008
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     5  0.3797     0.9342 0.000 0.420 0.000 0.000 0.580 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     6  0.4050     0.7147 0.236 0.000 0.000 0.000 0.048 0.716
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0520     0.8742 0.984 0.000 0.000 0.000 0.008 0.008
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     4  0.1578     0.8016 0.000 0.048 0.000 0.936 0.004 0.012
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0146     0.8771 0.996 0.000 0.000 0.000 0.004 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.4186     0.4438 0.000 0.728 0.000 0.000 0.192 0.080
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.8776 1.000 0.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     6  0.5840     0.3255 0.052 0.000 0.328 0.000 0.076 0.544
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.1605     0.5387 0.000 0.940 0.000 0.016 0.032 0.012
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.3996     0.4847 0.000 0.752 0.000 0.000 0.168 0.080
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0405     0.8755 0.988 0.000 0.000 0.000 0.008 0.004
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     5  0.3797     0.9342 0.000 0.420 0.000 0.000 0.580 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.1643     0.9194 0.000 0.000 0.924 0.000 0.068 0.008
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.8776 1.000 0.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.5642     0.6418 0.000 0.388 0.000 0.508 0.032 0.072
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.2313     0.9176 0.000 0.000 0.884 0.004 0.100 0.012
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.2502     0.9049 0.000 0.000 0.884 0.012 0.084 0.020
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.8776 1.000 0.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.8776 1.000 0.000 0.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     6  0.5450     0.6887 0.240 0.000 0.000 0.004 0.168 0.588
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0508     0.9286 0.000 0.000 0.984 0.012 0.004 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.3534     0.5519 0.740 0.000 0.000 0.000 0.016 0.244
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0146     0.8772 0.996 0.000 0.000 0.000 0.004 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.3342     0.4122 0.000 0.760 0.000 0.000 0.228 0.012
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.6210     0.7058 0.000 0.308 0.000 0.524 0.064 0.104
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0363     0.8746 0.988 0.000 0.000 0.000 0.012 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.5734     0.7494 0.000 0.280 0.000 0.584 0.044 0.092
#> 16A70057-AF47-4934-992E-3E9CF6E74684     5  0.3930     0.9286 0.000 0.420 0.000 0.000 0.576 0.004
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.8776 1.000 0.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0291     0.5707 0.000 0.992 0.000 0.000 0.004 0.004
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.2195     0.9127 0.000 0.000 0.904 0.012 0.068 0.016
#> 879DC385-8E19-410C-8C04-0B7015FB7289     5  0.5178     0.7872 0.000 0.424 0.000 0.000 0.488 0.088
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.3616     0.7866 0.016 0.012 0.000 0.824 0.040 0.108
#> 864194B9-3525-439D-84A4-EA257300335C     6  0.4022     0.7007 0.144 0.000 0.088 0.000 0.004 0.764
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     6  0.6071     0.1374 0.000 0.000 0.336 0.000 0.272 0.392
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.1707     0.8025 0.000 0.056 0.000 0.928 0.004 0.012
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     5  0.3797     0.9342 0.000 0.420 0.000 0.000 0.580 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0146     0.5711 0.000 0.996 0.000 0.000 0.000 0.004
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.1674     0.9208 0.000 0.000 0.924 0.004 0.068 0.004
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.4215     0.4494 0.000 0.724 0.000 0.000 0.196 0.080
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.4094     0.4722 0.000 0.740 0.000 0.000 0.180 0.080
#> 4022B5D9-8B67-45C3-867B-A72129500F86     5  0.3797     0.9342 0.000 0.420 0.000 0.000 0.580 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.5007     0.3443 0.000 0.712 0.000 0.136 0.052 0.100
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.4468     0.4093 0.000 0.696 0.000 0.000 0.212 0.092
#> 633D24E2-63CE-499F-A448-765AAAEF1977     5  0.5216     0.7805 0.000 0.424 0.000 0.000 0.484 0.092
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.2502     0.9049 0.000 0.000 0.884 0.012 0.084 0.020
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.4500     0.4050 0.000 0.760 0.000 0.076 0.056 0.108
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.2755     0.8011 0.000 0.140 0.000 0.844 0.004 0.012
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.4814    -0.0492 0.000 0.616 0.000 0.000 0.304 0.080
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     6  0.3126     0.7103 0.248 0.000 0.000 0.000 0.000 0.752
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.1882     0.9161 0.000 0.000 0.920 0.008 0.060 0.012
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.4414     0.4229 0.000 0.704 0.000 0.000 0.204 0.092
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.2313     0.9176 0.000 0.000 0.884 0.004 0.100 0.012
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.2282     0.9109 0.000 0.000 0.900 0.012 0.068 0.020

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-ATC-kmeans-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-ATC-kmeans-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-ATC-kmeans-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-ATC-kmeans-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-ATC-kmeans-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-ATC-kmeans-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-ATC-kmeans-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-ATC-kmeans-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-ATC-kmeans-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-ATC-kmeans-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-ATC-kmeans-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-ATC-kmeans-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-ATC-kmeans-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-ATC-kmeans-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-ATC-kmeans-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-ATC-kmeans-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-ATC-kmeans-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-ATC-kmeans-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-ATC-kmeans-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-ATC-kmeans-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk ATC-kmeans-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-ATC-kmeans-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-ATC-kmeans-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-ATC-kmeans-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-ATC-kmeans-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-ATC-kmeans-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk ATC-kmeans-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


ATC:skmeans**

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["ATC", "skmeans"]
# you can also extract it by
# res = res_list["ATC:skmeans"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#>   Subgroups are detected by 'skmeans' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 5.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk ATC-skmeans-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk ATC-skmeans-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 1.000           0.988       0.995         0.5033 0.497   0.497
#> 3 3 1.000           0.980       0.991         0.2710 0.849   0.701
#> 4 4 0.993           0.944       0.979         0.1183 0.918   0.773
#> 5 5 0.958           0.912       0.961         0.0505 0.955   0.844
#> 6 6 0.856           0.730       0.865         0.0472 0.983   0.932

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 5
#> attr(,"optional")
#> [1] 2 3 4

There is also optional best \(k\) = 2 3 4 that is worth to check.

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette    p1    p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.991 1.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.997 0.000 1.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1  0.0000      0.991 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.991 1.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.0000      0.991 1.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.997 0.000 1.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1  0.0000      0.991 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0000      0.997 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1  0.0000      0.991 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000      0.991 1.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     1  0.0000      0.991 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     1  0.0000      0.991 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.997 0.000 1.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.991 1.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.997 0.000 1.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      0.991 1.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      0.991 1.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.997 0.000 1.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.997 0.000 1.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.997 0.000 1.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.997 0.000 1.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.997 0.000 1.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.997 0.000 1.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      0.997 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.997 0.000 1.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0000      0.991 1.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1  0.0000      0.991 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.997 0.000 1.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.991 1.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.997 0.000 1.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1  0.0000      0.991 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1  0.0000      0.991 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.0376      0.994 0.004 0.996
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1  0.0000      0.991 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1  0.0000      0.991 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.991 1.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1  0.0000      0.991 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.997 0.000 1.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000      0.997 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      0.997 0.000 1.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.991 1.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1  0.0000      0.991 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.6887      0.770 0.184 0.816
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.991 1.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000      0.997 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1  0.0000      0.991 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1  0.0000      0.991 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.991 1.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      0.997 0.000 1.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000      0.997 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1  0.0000      0.991 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.997 0.000 1.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.997 0.000 1.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.991 1.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.997 0.000 1.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      0.997 0.000 1.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1  0.0000      0.991 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.997 0.000 1.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      0.997 0.000 1.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.997 0.000 1.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.991 1.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      0.997 0.000 1.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.991 1.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      0.997 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.991 1.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      0.997 0.000 1.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      0.997 0.000 1.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.997 0.000 1.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     1  0.0000      0.991 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1  0.0000      0.991 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.7299      0.751 0.796 0.204
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000      0.991 1.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.991 1.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000      0.997 0.000 1.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1  0.0000      0.991 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1  0.0000      0.991 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.997 0.000 1.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.997 0.000 1.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.991 1.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     1  0.0000      0.991 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.997 0.000 1.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.0000      0.991 1.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.997 0.000 1.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1  0.0000      0.991 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      0.991 1.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000      0.991 1.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000      0.997 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.997 0.000 1.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      0.997 0.000 1.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      0.991 1.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      0.997 0.000 1.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1  0.0000      0.991 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.997 0.000 1.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.997 0.000 1.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000      0.997 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.991 1.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.6973      0.775 0.812 0.188
#> 10161FA0-E389-4D98-B854-098AF908C898     1  0.0000      0.991 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.997 0.000 1.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      0.991 1.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      0.997 0.000 1.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.991 1.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.997 0.000 1.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.0000      0.991 1.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.991 1.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      0.997 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.991 1.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.997 0.000 1.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.991 1.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1  0.0000      0.991 1.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      0.997 0.000 1.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.997 0.000 1.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.991 1.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.997 0.000 1.000
#> 86689648-2C4A-456F-A551-B9731400846C     1  0.0000      0.991 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.991 1.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      0.997 0.000 1.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     1  0.0000      0.991 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1  0.0000      0.991 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.4298      0.902 0.912 0.088
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      0.991 1.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.0000      0.991 1.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1  0.0000      0.991 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.991 1.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.6973      0.775 0.812 0.188
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.997 0.000 1.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000      0.997 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      0.991 1.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      0.997 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      0.997 0.000 1.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.991 1.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.997 0.000 1.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1  0.0000      0.991 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      0.997 0.000 1.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000      0.997 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.0000      0.991 1.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1  0.0000      0.991 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      0.997 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.997 0.000 1.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.997 0.000 1.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1  0.0000      0.991 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.997 0.000 1.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.997 0.000 1.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      0.997 0.000 1.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      0.997 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.997 0.000 1.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.997 0.000 1.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1  0.0000      0.991 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      0.997 0.000 1.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      0.997 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      0.997 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.0000      0.991 1.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1  0.0000      0.991 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.997 0.000 1.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     1  0.0000      0.991 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1  0.0000      0.991 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1    p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.976 1.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      1.000 0.000 1.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      0.988 0.000 0.000 1.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.976 1.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     3  0.5016      0.681 0.240 0.000 0.760
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      1.000 0.000 1.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.988 0.000 0.000 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0000      1.000 0.000 1.000 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000      0.988 0.000 0.000 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0592      0.967 0.988 0.000 0.012
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000      0.988 0.000 0.000 1.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      0.988 0.000 0.000 1.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      1.000 0.000 1.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.976 1.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      1.000 0.000 1.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      0.976 1.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.6126      0.334 0.600 0.000 0.400
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      1.000 0.000 1.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      1.000 0.000 1.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      1.000 0.000 1.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      1.000 0.000 1.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      1.000 0.000 1.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      1.000 0.000 1.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      1.000 0.000 1.000 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      1.000 0.000 1.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     3  0.0000      0.988 0.000 0.000 1.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.988 0.000 0.000 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      1.000 0.000 1.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.976 1.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      1.000 0.000 1.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      0.988 0.000 0.000 1.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0000      0.988 0.000 0.000 1.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     3  0.0237      0.983 0.000 0.004 0.996
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.988 0.000 0.000 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0000      0.988 0.000 0.000 1.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.976 1.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.988 0.000 0.000 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      1.000 0.000 1.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000      1.000 0.000 1.000 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      1.000 0.000 1.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.976 1.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      0.988 0.000 0.000 1.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     1  0.4062      0.787 0.836 0.164 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.976 1.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000      1.000 0.000 1.000 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.988 0.000 0.000 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      0.988 0.000 0.000 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.976 1.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      1.000 0.000 1.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000      1.000 0.000 1.000 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.988 0.000 0.000 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      1.000 0.000 1.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      1.000 0.000 1.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.976 1.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      1.000 0.000 1.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      1.000 0.000 1.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000      0.988 0.000 0.000 1.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      1.000 0.000 1.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      1.000 0.000 1.000 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      1.000 0.000 1.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.976 1.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      1.000 0.000 1.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.976 1.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      1.000 0.000 1.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.976 1.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      1.000 0.000 1.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      1.000 0.000 1.000 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      1.000 0.000 1.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.988 0.000 0.000 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.988 0.000 0.000 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.976 1.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000      0.976 1.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.976 1.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000      1.000 0.000 1.000 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.988 0.000 0.000 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.988 0.000 0.000 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      1.000 0.000 1.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      1.000 0.000 1.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.976 1.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.988 0.000 0.000 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      1.000 0.000 1.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     3  0.1031      0.965 0.024 0.000 0.976
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      1.000 0.000 1.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000      0.988 0.000 0.000 1.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.4605      0.741 0.796 0.000 0.204
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0592      0.967 0.988 0.000 0.012
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000      1.000 0.000 1.000 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      1.000 0.000 1.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      1.000 0.000 1.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.1289      0.949 0.968 0.000 0.032
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      1.000 0.000 1.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.988 0.000 0.000 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      1.000 0.000 1.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      1.000 0.000 1.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000      1.000 0.000 1.000 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.976 1.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.976 1.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.988 0.000 0.000 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      1.000 0.000 1.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      0.976 1.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      1.000 0.000 1.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.976 1.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      1.000 0.000 1.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.0000      0.988 0.000 0.000 1.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.976 1.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      1.000 0.000 1.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.976 1.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      1.000 0.000 1.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.976 1.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000      0.988 0.000 0.000 1.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      1.000 0.000 1.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      1.000 0.000 1.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.976 1.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      1.000 0.000 1.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      0.988 0.000 0.000 1.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.976 1.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      1.000 0.000 1.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      0.988 0.000 0.000 1.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      0.988 0.000 0.000 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.976 1.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      0.976 1.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.4974      0.688 0.236 0.000 0.764
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.988 0.000 0.000 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.976 1.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      0.976 1.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      1.000 0.000 1.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000      1.000 0.000 1.000 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      0.976 1.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      1.000 0.000 1.000 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      1.000 0.000 1.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.976 1.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      1.000 0.000 1.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      0.988 0.000 0.000 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      1.000 0.000 1.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000      1.000 0.000 1.000 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.0000      0.988 0.000 0.000 1.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000      0.988 0.000 0.000 1.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      1.000 0.000 1.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      1.000 0.000 1.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      1.000 0.000 1.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      0.988 0.000 0.000 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      1.000 0.000 1.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      1.000 0.000 1.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      1.000 0.000 1.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      1.000 0.000 1.000 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      1.000 0.000 1.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      1.000 0.000 1.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      0.988 0.000 0.000 1.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      1.000 0.000 1.000 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      1.000 0.000 1.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      1.000 0.000 1.000 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.0000      0.988 0.000 0.000 1.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      0.988 0.000 0.000 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      1.000 0.000 1.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      0.988 0.000 0.000 1.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      0.988 0.000 0.000 1.000

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     3  0.3649     0.7339 0.204 0.000 0.796 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.0000     0.8990 0.000 0.000 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0469     0.9656 0.988 0.000 0.012 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.4855     0.3383 0.600 0.000 0.400 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.1557     0.8555 0.000 0.000 0.056 0.944
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0000     0.8990 0.000 0.000 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.0000     0.8990 0.000 0.000 0.000 1.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.0000     0.8990 0.000 0.000 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.0000     0.8990 0.000 0.000 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.4830     0.4206 0.000 0.392 0.000 0.608
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.4866     0.3914 0.000 0.404 0.000 0.596
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.0000     0.8990 0.000 0.000 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0188     0.9732 0.996 0.000 0.004 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.4898     0.3624 0.000 0.416 0.000 0.584
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     3  0.0188     0.9869 0.004 0.000 0.996 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.3649     0.7217 0.796 0.000 0.204 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0469     0.9656 0.988 0.000 0.012 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.0000     0.8990 0.000 0.000 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.1302     0.9303 0.956 0.000 0.044 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.0000     0.8990 0.000 0.000 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     4  0.0000     0.8990 0.000 0.000 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.4961     0.0608 0.000 0.552 0.000 0.448
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.2530     0.8596 0.112 0.000 0.888 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.4916     0.1490 0.000 0.576 0.000 0.424
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.1716     0.8560 0.000 0.064 0.000 0.936
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9768 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0000     0.8990 0.000 0.000 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.0000     0.8990 0.000 0.000 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.0000     0.8990 0.000 0.000 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000     0.9832 0.000 1.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000     0.9911 0.000 0.000 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000     0.9911 0.000 0.000 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.2471     0.8625 0.864 0.000 0.000 0.000 0.136
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9431 1.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     5  0.0807     0.9009 0.012 0.000 0.012 0.000 0.976
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.0162     0.8497 0.000 0.000 0.000 0.996 0.004
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     5  0.0703     0.9019 0.024 0.000 0.000 0.000 0.976
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9431 1.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.2813     0.8352 0.832 0.000 0.000 0.000 0.168
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.5650     0.0253 0.464 0.000 0.076 0.000 0.460
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 00B1B6C5-C4C1-4248-8879-F30727137391     5  0.3039     0.7741 0.000 0.000 0.192 0.000 0.808
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9431 1.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.2732     0.7985 0.000 0.000 0.840 0.000 0.160
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.4016     0.5333 0.000 0.000 0.272 0.716 0.012
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.2732     0.7985 0.000 0.000 0.840 0.000 0.160
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9431 1.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0162     0.8497 0.000 0.000 0.000 0.996 0.004
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000     0.9754 0.000 1.000 0.000 0.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9431 1.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.0162     0.8497 0.000 0.000 0.000 0.996 0.004
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     5  0.0703     0.9019 0.024 0.000 0.000 0.000 0.976
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.0162     0.8478 0.000 0.004 0.000 0.996 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9431 1.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.0162     0.8497 0.000 0.000 0.000 0.996 0.004
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9431 1.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> 54DCC779-B458-4805-8912-4501C7A7E95C     5  0.3143     0.7615 0.000 0.000 0.204 0.000 0.796
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.4264     0.4450 0.000 0.376 0.000 0.620 0.004
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0162     0.9411 0.996 0.000 0.000 0.000 0.004
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.3966     0.5205 0.000 0.336 0.000 0.664 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0290     0.9399 0.992 0.000 0.000 0.000 0.008
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.0000     0.8497 0.000 0.000 0.000 1.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.2471     0.8625 0.864 0.000 0.000 0.000 0.136
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9431 1.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     5  0.0703     0.9019 0.024 0.000 0.000 0.000 0.976
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9431 1.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.4410     0.2767 0.000 0.440 0.000 0.556 0.004
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.2471     0.8625 0.864 0.000 0.000 0.000 0.136
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     5  0.0703     0.8964 0.000 0.000 0.024 0.000 0.976
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     5  0.1168     0.8978 0.032 0.000 0.008 0.000 0.960
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     5  0.0703     0.9019 0.024 0.000 0.000 0.000 0.976
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.0000     0.8497 0.000 0.000 0.000 1.000 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> A5613D6C-B394-4619-AA09-022348BD0B7C     5  0.0703     0.9019 0.024 0.000 0.000 0.000 0.976
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.0162     0.8497 0.000 0.000 0.000 0.996 0.004
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9431 1.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9431 1.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     5  0.3796     0.5899 0.300 0.000 0.000 0.000 0.700
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.2471     0.8625 0.864 0.000 0.000 0.000 0.136
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.2813     0.8352 0.832 0.000 0.000 0.000 0.168
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     4  0.0000     0.8497 0.000 0.000 0.000 1.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9431 1.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000     0.9754 0.000 1.000 0.000 0.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9431 1.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.2127     0.8819 0.892 0.000 0.000 0.000 0.108
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9431 1.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.4305    -0.0872 0.000 0.512 0.000 0.488 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9431 1.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9431 1.000 0.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     5  0.1168     0.8956 0.008 0.000 0.032 0.000 0.960
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     5  0.0794     0.9003 0.028 0.000 0.000 0.000 0.972
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000     0.9431 1.000 0.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000     0.9754 0.000 1.000 0.000 0.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.4341     0.2077 0.000 0.592 0.000 0.404 0.004
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0794     0.9274 0.972 0.000 0.000 0.000 0.028
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.1792     0.7774 0.000 0.084 0.000 0.916 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9431 1.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0162     0.8497 0.000 0.000 0.000 0.996 0.004
#> 864194B9-3525-439D-84A4-EA257300335C     5  0.3109     0.7660 0.000 0.000 0.200 0.000 0.800
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.0000     0.8497 0.000 0.000 0.000 1.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.0000     0.8497 0.000 0.000 0.000 1.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0162     0.9752 0.000 0.996 0.000 0.000 0.004
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     5  0.1908     0.8587 0.000 0.000 0.092 0.000 0.908
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0404     0.9753 0.000 0.988 0.000 0.000 0.012
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000     0.9900 0.000 0.000 1.000 0.000 0.000

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.3370      0.853 0.812 0.000 0.000 0.000 0.124 0.064
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.3717      0.457 0.000 0.616 0.000 0.000 0.384 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0291      0.930 0.992 0.000 0.000 0.000 0.004 0.004
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     6  0.0000      0.897 0.000 0.000 0.000 0.000 0.000 1.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0713      0.648 0.000 0.972 0.000 0.000 0.028 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.1663      0.777 0.000 0.000 0.000 0.912 0.088 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     6  0.0000      0.897 0.000 0.000 0.000 0.000 0.000 1.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.2135      0.871 0.000 0.000 0.872 0.000 0.128 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.3717      0.457 0.000 0.616 0.000 0.000 0.384 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.3717      0.457 0.000 0.616 0.000 0.000 0.384 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.3878      0.818 0.772 0.000 0.000 0.000 0.112 0.116
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.6325      0.192 0.460 0.000 0.052 0.000 0.120 0.368
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.3717      0.457 0.000 0.616 0.000 0.000 0.384 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.3717      0.457 0.000 0.616 0.000 0.000 0.384 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.661 0.000 1.000 0.000 0.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.3706      0.461 0.000 0.620 0.000 0.000 0.380 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.661 0.000 1.000 0.000 0.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.3717      0.457 0.000 0.616 0.000 0.000 0.384 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     5  0.3862     -0.263 0.000 0.476 0.000 0.000 0.524 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.661 0.000 1.000 0.000 0.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     6  0.2378      0.806 0.000 0.000 0.152 0.000 0.000 0.848
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.3515      0.505 0.000 0.676 0.000 0.000 0.324 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0865      0.643 0.000 0.964 0.000 0.000 0.036 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.4279      0.692 0.000 0.000 0.732 0.000 0.128 0.140
#> B644962A-DEFE-4169-A39E-EF2141F5125A     5  0.6068     -0.529 0.000 0.000 0.216 0.380 0.400 0.004
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.4279      0.692 0.000 0.000 0.732 0.000 0.128 0.140
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.661 0.000 1.000 0.000 0.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.3390      0.678 0.000 0.000 0.000 0.704 0.296 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.3076      0.561 0.000 0.760 0.000 0.000 0.240 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.1327      0.782 0.000 0.000 0.000 0.936 0.064 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     6  0.0260      0.895 0.000 0.000 0.000 0.000 0.008 0.992
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.1327      0.776 0.000 0.000 0.000 0.936 0.064 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0935      0.922 0.964 0.000 0.000 0.000 0.004 0.032
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.3747      0.439 0.000 0.604 0.000 0.000 0.396 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.1663      0.777 0.000 0.000 0.000 0.912 0.088 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0713      0.648 0.000 0.972 0.000 0.000 0.028 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.661 0.000 1.000 0.000 0.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.3717      0.457 0.000 0.616 0.000 0.000 0.384 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.3737      0.440 0.000 0.608 0.000 0.000 0.392 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     6  0.2597      0.782 0.000 0.000 0.176 0.000 0.000 0.824
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0937      0.640 0.000 0.960 0.000 0.000 0.040 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.5016      0.383 0.000 0.324 0.000 0.584 0.092 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0713      0.648 0.000 0.972 0.000 0.000 0.028 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.1261      0.920 0.952 0.000 0.000 0.000 0.024 0.024
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.4420      0.428 0.000 0.340 0.000 0.620 0.040 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.2019      0.898 0.900 0.000 0.000 0.000 0.088 0.012
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.0000      0.788 0.000 0.000 0.000 1.000 0.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.3370      0.853 0.812 0.000 0.000 0.000 0.124 0.064
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0790      0.646 0.000 0.968 0.000 0.000 0.032 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.1780      0.597 0.000 0.924 0.000 0.028 0.048 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.3717      0.457 0.000 0.616 0.000 0.000 0.384 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     6  0.0000      0.897 0.000 0.000 0.000 0.000 0.000 1.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0146      0.930 0.996 0.000 0.000 0.000 0.004 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.6054      0.167 0.000 0.348 0.000 0.392 0.260 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0146      0.661 0.000 0.996 0.000 0.000 0.004 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0865      0.654 0.000 0.964 0.000 0.000 0.036 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.3370      0.853 0.812 0.000 0.000 0.000 0.124 0.064
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.661 0.000 1.000 0.000 0.000 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     6  0.0000      0.897 0.000 0.000 0.000 0.000 0.000 1.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.3717      0.457 0.000 0.616 0.000 0.000 0.384 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     6  0.2752      0.817 0.036 0.000 0.000 0.000 0.108 0.856
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     6  0.0000      0.897 0.000 0.000 0.000 0.000 0.000 1.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.0000      0.788 0.000 0.000 0.000 1.000 0.000 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0713      0.648 0.000 0.972 0.000 0.000 0.028 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0865      0.643 0.000 0.964 0.000 0.000 0.036 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     6  0.0146      0.896 0.000 0.000 0.000 0.000 0.004 0.996
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0632      0.660 0.000 0.976 0.000 0.000 0.024 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.3717      0.457 0.000 0.616 0.000 0.000 0.384 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.3717      0.457 0.000 0.616 0.000 0.000 0.384 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.1663      0.777 0.000 0.000 0.000 0.912 0.088 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0146      0.930 0.996 0.000 0.000 0.000 0.004 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.661 0.000 1.000 0.000 0.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     6  0.3360      0.624 0.264 0.000 0.000 0.000 0.004 0.732
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.3563      0.493 0.000 0.664 0.000 0.000 0.336 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.3370      0.853 0.812 0.000 0.000 0.000 0.124 0.064
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.3717      0.457 0.000 0.616 0.000 0.000 0.384 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.3787      0.828 0.780 0.000 0.000 0.000 0.120 0.100
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     4  0.0000      0.788 0.000 0.000 0.000 1.000 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0777      0.926 0.972 0.000 0.000 0.000 0.024 0.004
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.2996      0.567 0.000 0.772 0.000 0.000 0.228 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0865      0.643 0.000 0.964 0.000 0.000 0.036 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0865      0.643 0.000 0.964 0.000 0.000 0.036 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.3193      0.860 0.824 0.000 0.000 0.000 0.124 0.052
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.3717      0.457 0.000 0.616 0.000 0.000 0.384 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.4703      0.278 0.000 0.408 0.000 0.544 0.048 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     6  0.2092      0.842 0.000 0.000 0.000 0.000 0.124 0.876
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     6  0.0777      0.889 0.004 0.000 0.000 0.000 0.024 0.972
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.3266      0.540 0.000 0.728 0.000 0.000 0.272 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     5  0.4988     -0.218 0.000 0.448 0.000 0.068 0.484 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.1285      0.911 0.944 0.000 0.000 0.000 0.004 0.052
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.2660      0.724 0.000 0.084 0.000 0.868 0.048 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.3717      0.457 0.000 0.616 0.000 0.000 0.384 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.931 1.000 0.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0865      0.643 0.000 0.964 0.000 0.000 0.036 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.3620      0.484 0.000 0.648 0.000 0.000 0.352 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.3390      0.678 0.000 0.000 0.000 0.704 0.296 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     6  0.2562      0.786 0.000 0.000 0.172 0.000 0.000 0.828
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.2135      0.871 0.000 0.000 0.872 0.000 0.128 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.0622      0.786 0.000 0.008 0.000 0.980 0.012 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.3717      0.457 0.000 0.616 0.000 0.000 0.384 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0865      0.643 0.000 0.964 0.000 0.000 0.036 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.661 0.000 1.000 0.000 0.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.661 0.000 1.000 0.000 0.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.3717      0.457 0.000 0.616 0.000 0.000 0.384 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.4453      0.266 0.000 0.568 0.000 0.032 0.400 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.661 0.000 1.000 0.000 0.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0713      0.657 0.000 0.972 0.000 0.000 0.028 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.3930      0.395 0.000 0.576 0.000 0.004 0.420 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.0820      0.785 0.000 0.016 0.000 0.972 0.012 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.3810      0.331 0.000 0.572 0.000 0.000 0.428 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     6  0.1910      0.842 0.000 0.000 0.108 0.000 0.000 0.892
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.661 0.000 1.000 0.000 0.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      0.979 0.000 0.000 1.000 0.000 0.000 0.000

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-ATC-skmeans-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-ATC-skmeans-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-ATC-skmeans-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-ATC-skmeans-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-ATC-skmeans-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-ATC-skmeans-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-ATC-skmeans-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-ATC-skmeans-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-ATC-skmeans-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-ATC-skmeans-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-ATC-skmeans-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-ATC-skmeans-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-ATC-skmeans-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-ATC-skmeans-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-ATC-skmeans-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-ATC-skmeans-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-ATC-skmeans-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-ATC-skmeans-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-ATC-skmeans-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-ATC-skmeans-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk ATC-skmeans-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-ATC-skmeans-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-ATC-skmeans-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-ATC-skmeans-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-ATC-skmeans-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-ATC-skmeans-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk ATC-skmeans-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


ATC:pam**

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["ATC", "pam"]
# you can also extract it by
# res = res_list["ATC:pam"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#>   Subgroups are detected by 'pam' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 3.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk ATC-pam-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk ATC-pam-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 0.798           0.953       0.973         0.4976 0.497   0.497
#> 3 3 0.970           0.945       0.978         0.2834 0.859   0.718
#> 4 4 0.880           0.900       0.944         0.1312 0.912   0.762
#> 5 5 0.813           0.779       0.857         0.0456 0.965   0.879
#> 6 6 0.811           0.786       0.846         0.0432 0.953   0.824

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 3

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette    p1    p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1   0.163      0.945 0.976 0.024
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2   0.000      0.992 0.000 1.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1   0.000      0.953 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1   0.563      0.887 0.868 0.132
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1   0.000      0.953 1.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2   0.000      0.992 0.000 1.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1   0.000      0.953 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2   0.000      0.992 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1   0.000      0.953 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1   0.000      0.953 1.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     1   0.000      0.953 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     1   0.000      0.953 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2   0.000      0.992 0.000 1.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1   0.584      0.879 0.860 0.140
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2   0.000      0.992 0.000 1.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1   0.163      0.945 0.976 0.024
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1   0.000      0.953 1.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2   0.000      0.992 0.000 1.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2   0.000      0.992 0.000 1.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2   0.000      0.992 0.000 1.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2   0.000      0.992 0.000 1.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2   0.000      0.992 0.000 1.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2   0.000      0.992 0.000 1.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2   0.000      0.992 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2   0.000      0.992 0.000 1.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1   0.000      0.953 1.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1   0.000      0.953 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2   0.000      0.992 0.000 1.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1   0.563      0.887 0.868 0.132
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2   0.000      0.992 0.000 1.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1   0.000      0.953 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1   0.000      0.953 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2   0.634      0.789 0.160 0.840
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1   0.000      0.953 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1   0.000      0.953 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1   0.563      0.887 0.868 0.132
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1   0.000      0.953 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2   0.000      0.992 0.000 1.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2   0.000      0.992 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2   0.000      0.992 0.000 1.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1   0.563      0.887 0.868 0.132
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1   0.000      0.953 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2   0.955      0.321 0.376 0.624
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1   0.000      0.953 1.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2   0.000      0.992 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1   0.000      0.953 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1   0.000      0.953 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1   0.563      0.887 0.868 0.132
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2   0.000      0.992 0.000 1.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2   0.000      0.992 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1   0.000      0.953 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2   0.000      0.992 0.000 1.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2   0.000      0.992 0.000 1.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1   0.563      0.887 0.868 0.132
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2   0.000      0.992 0.000 1.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2   0.000      0.992 0.000 1.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1   0.000      0.953 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2   0.000      0.992 0.000 1.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2   0.000      0.992 0.000 1.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2   0.000      0.992 0.000 1.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1   0.494      0.902 0.892 0.108
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2   0.000      0.992 0.000 1.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1   0.563      0.887 0.868 0.132
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2   0.000      0.992 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1   0.343      0.926 0.936 0.064
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2   0.000      0.992 0.000 1.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2   0.000      0.992 0.000 1.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2   0.000      0.992 0.000 1.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     1   0.000      0.953 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1   0.000      0.953 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1   0.795      0.755 0.760 0.240
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1   0.163      0.945 0.976 0.024
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1   0.563      0.887 0.868 0.132
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2   0.000      0.992 0.000 1.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1   0.000      0.953 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1   0.000      0.953 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2   0.000      0.992 0.000 1.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2   0.000      0.992 0.000 1.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1   0.184      0.944 0.972 0.028
#> E61A5740-7C26-4730-9610-A3C710098B92     1   0.000      0.953 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2   0.000      0.992 0.000 1.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1   0.000      0.953 1.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2   0.000      0.992 0.000 1.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1   0.000      0.953 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1   0.000      0.953 1.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1   0.163      0.945 0.976 0.024
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2   0.000      0.992 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2   0.000      0.992 0.000 1.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2   0.000      0.992 0.000 1.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1   0.000      0.953 1.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2   0.000      0.992 0.000 1.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1   0.000      0.953 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2   0.000      0.992 0.000 1.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2   0.000      0.992 0.000 1.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2   0.000      0.992 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1   0.563      0.887 0.868 0.132
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1   0.775      0.773 0.772 0.228
#> 10161FA0-E389-4D98-B854-098AF908C898     1   0.000      0.953 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2   0.000      0.992 0.000 1.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1   0.563      0.887 0.868 0.132
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2   0.000      0.992 0.000 1.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1   0.184      0.944 0.972 0.028
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2   0.000      0.992 0.000 1.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1   0.000      0.953 1.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1   0.163      0.945 0.976 0.024
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2   0.000      0.992 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1   0.563      0.887 0.868 0.132
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2   0.000      0.992 0.000 1.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1   0.595      0.875 0.856 0.144
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1   0.000      0.953 1.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2   0.000      0.992 0.000 1.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2   0.000      0.992 0.000 1.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1   0.518      0.897 0.884 0.116
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2   0.000      0.992 0.000 1.000
#> 86689648-2C4A-456F-A551-B9731400846C     1   0.000      0.953 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1   0.563      0.887 0.868 0.132
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2   0.000      0.992 0.000 1.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     1   0.000      0.953 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1   0.000      0.953 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1   0.730      0.805 0.796 0.204
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1   0.563      0.887 0.868 0.132
#> B18217F7-303C-4104-848E-A354DADE72BF     1   0.000      0.953 1.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1   0.000      0.953 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1   0.000      0.953 1.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1   0.795      0.755 0.760 0.240
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2   0.000      0.992 0.000 1.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2   0.000      0.992 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1   0.563      0.887 0.868 0.132
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2   0.000      0.992 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2   0.000      0.992 0.000 1.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1   0.634      0.858 0.840 0.160
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2   0.000      0.992 0.000 1.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1   0.000      0.953 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2   0.000      0.992 0.000 1.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2   0.000      0.992 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     1   0.000      0.953 1.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1   0.000      0.953 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2   0.000      0.992 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2   0.000      0.992 0.000 1.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2   0.000      0.992 0.000 1.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1   0.000      0.953 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2   0.000      0.992 0.000 1.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2   0.000      0.992 0.000 1.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2   0.000      0.992 0.000 1.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2   0.000      0.992 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2   0.000      0.992 0.000 1.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2   0.000      0.992 0.000 1.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1   0.000      0.953 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2   0.000      0.992 0.000 1.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2   0.000      0.992 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2   0.000      0.992 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1   0.000      0.953 1.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1   0.000      0.953 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2   0.000      0.992 0.000 1.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     1   0.000      0.953 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1   0.000      0.953 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1    p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.9678 1.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000     0.9873 0.000 1.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000     0.9620 0.000 0.000 1.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9678 1.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.0237     0.9643 0.996 0.000 0.004
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000     0.9873 0.000 1.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000     0.9620 0.000 0.000 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.2448     0.9202 0.076 0.924 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000     0.9620 0.000 0.000 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000     0.9678 1.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000     0.9620 0.000 0.000 1.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000     0.9620 0.000 0.000 1.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000     0.9873 0.000 1.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9678 1.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000     0.9873 0.000 1.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000     0.9678 1.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000     0.9678 1.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000     0.9873 0.000 1.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000     0.9873 0.000 1.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.9873 0.000 1.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000     0.9873 0.000 1.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.9873 0.000 1.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000     0.9873 0.000 1.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000     0.9873 0.000 1.000 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     0.9873 0.000 1.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.6280     0.0997 0.540 0.000 0.460
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.9620 0.000 0.000 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000     0.9873 0.000 1.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9678 1.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000     0.9873 0.000 1.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000     0.9620 0.000 0.000 1.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1  0.6309    -0.0492 0.500 0.000 0.500
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.5529     0.5931 0.296 0.704 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9620 0.000 0.000 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.5058     0.6782 0.244 0.000 0.756
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9678 1.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000     0.9620 0.000 0.000 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.9873 0.000 1.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.3038     0.8903 0.104 0.896 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000     0.9873 0.000 1.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9678 1.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000     0.9620 0.000 0.000 1.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     1  0.1529     0.9205 0.960 0.040 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000     0.9678 1.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000     0.9873 0.000 1.000 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9620 0.000 0.000 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000     0.9620 0.000 0.000 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9678 1.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000     0.9873 0.000 1.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.2959     0.8949 0.100 0.900 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9620 0.000 0.000 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000     0.9873 0.000 1.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.9873 0.000 1.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9678 1.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000     0.9873 0.000 1.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000     0.9873 0.000 1.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.5948     0.4532 0.360 0.000 0.640
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000     0.9873 0.000 1.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.3116     0.8857 0.108 0.892 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000     0.9873 0.000 1.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9678 1.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000     0.9873 0.000 1.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9678 1.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.2066     0.9353 0.060 0.940 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000     0.9678 1.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000     0.9873 0.000 1.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000     0.9873 0.000 1.000 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000     0.9873 0.000 1.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9620 0.000 0.000 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000     0.9620 0.000 0.000 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9678 1.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000     0.9678 1.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9678 1.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000     0.9873 0.000 1.000 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.9620 0.000 0.000 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.9620 0.000 0.000 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000     0.9873 0.000 1.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000     0.9873 0.000 1.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000     0.9678 1.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.9620 0.000 0.000 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000     0.9873 0.000 1.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.2796     0.8740 0.908 0.000 0.092
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000     0.9873 0.000 1.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000     0.9620 0.000 0.000 1.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000     0.9678 1.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000     0.9678 1.000 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000     0.9873 0.000 1.000 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000     0.9873 0.000 1.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000     0.9873 0.000 1.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000     0.9678 1.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000     0.9873 0.000 1.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9620 0.000 0.000 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000     0.9873 0.000 1.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000     0.9873 0.000 1.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.2537     0.9162 0.080 0.920 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9678 1.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9678 1.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9620 0.000 0.000 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000     0.9873 0.000 1.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000     0.9678 1.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000     0.9873 0.000 1.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000     0.9678 1.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000     0.9873 0.000 1.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.5882     0.4813 0.348 0.000 0.652
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9678 1.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000     0.9873 0.000 1.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9678 1.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000     0.9873 0.000 1.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9678 1.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.5775     0.6422 0.260 0.012 0.728
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000     0.9873 0.000 1.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     0.9873 0.000 1.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9678 1.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000     0.9873 0.000 1.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000     0.9620 0.000 0.000 1.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9678 1.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000     0.9873 0.000 1.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000     0.9620 0.000 0.000 1.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000     0.9620 0.000 0.000 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9678 1.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9678 1.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.0000     0.9678 1.000 0.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.9620 0.000 0.000 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000     0.9678 1.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000     0.9678 1.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000     0.9873 0.000 1.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000     0.9873 0.000 1.000 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.9678 1.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000     0.9873 0.000 1.000 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000     0.9873 0.000 1.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9678 1.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000     0.9873 0.000 1.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000     0.9620 0.000 0.000 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000     0.9873 0.000 1.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.2711     0.9079 0.088 0.912 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.2356     0.8970 0.072 0.000 0.928
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000     0.9620 0.000 0.000 1.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000     0.9873 0.000 1.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000     0.9873 0.000 1.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000     0.9873 0.000 1.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000     0.9620 0.000 0.000 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000     0.9873 0.000 1.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000     0.9873 0.000 1.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000     0.9873 0.000 1.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000     0.9873 0.000 1.000 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.9873 0.000 1.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000     0.9873 0.000 1.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000     0.9620 0.000 0.000 1.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000     0.9873 0.000 1.000 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000     0.9873 0.000 1.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000     0.9873 0.000 1.000 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.4504     0.7330 0.804 0.000 0.196
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000     0.9620 0.000 0.000 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000     0.9873 0.000 1.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000     0.9620 0.000 0.000 1.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000     0.9620 0.000 0.000 1.000

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.0188     0.9605 0.996 0.000 0.004 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.3801     0.8404 0.000 0.780 0.000 0.220
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.0000     0.9830 0.000 0.000 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.1302     0.9036 0.000 0.956 0.000 0.044
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.2704     0.8891 0.000 0.876 0.000 0.124
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0817     0.9028 0.000 0.976 0.000 0.024
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.3801     0.8404 0.000 0.780 0.000 0.220
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.1302     0.9036 0.000 0.956 0.000 0.044
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.4843     0.3035 0.604 0.000 0.396 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.3801     0.8404 0.000 0.780 0.000 0.220
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1  0.4981     0.0824 0.536 0.000 0.464 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.6763     0.4318 0.320 0.564 0.000 0.116
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.4356     0.5914 0.292 0.000 0.708 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.1867     0.9027 0.000 0.928 0.000 0.072
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0000     0.9830 0.000 0.000 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.3569     0.8557 0.000 0.804 0.000 0.196
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.2530     0.8453 0.112 0.000 0.000 0.888
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.0000     0.9830 0.000 0.000 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.2530     0.8935 0.000 0.888 0.000 0.112
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.0000     0.9830 0.000 0.000 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.3801     0.8404 0.000 0.780 0.000 0.220
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.1637     0.9019 0.000 0.940 0.000 0.060
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.4866     0.3444 0.404 0.000 0.596 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.3649     0.8503 0.000 0.796 0.000 0.204
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     1  0.3801     0.6581 0.780 0.000 0.000 0.220
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.1716     0.9033 0.000 0.936 0.000 0.064
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.0000     0.9830 0.000 0.000 0.000 1.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.0000     0.9830 0.000 0.000 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.3801     0.8404 0.000 0.780 0.000 0.220
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.3801     0.8404 0.000 0.780 0.000 0.220
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.4008     0.8177 0.000 0.756 0.000 0.244
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0921     0.9012 0.000 0.972 0.000 0.028
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.2149     0.8729 0.912 0.000 0.088 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.0000     0.9830 0.000 0.000 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.3219     0.8730 0.000 0.836 0.000 0.164
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.3801     0.8404 0.000 0.780 0.000 0.220
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.3801     0.8404 0.000 0.780 0.000 0.220
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.0000     0.9830 0.000 0.000 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.1867     0.9023 0.000 0.928 0.000 0.072
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.1302     0.9036 0.000 0.956 0.000 0.044
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.4877     0.3333 0.408 0.000 0.592 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     4  0.0000     0.9830 0.000 0.000 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.2281     0.8966 0.000 0.904 0.000 0.096
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.4522     0.5381 0.320 0.000 0.680 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.3801     0.8404 0.000 0.780 0.000 0.220
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.3356     0.8668 0.000 0.824 0.000 0.176
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.0592     0.9680 0.000 0.016 0.000 0.984
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.2281     0.8969 0.000 0.904 0.000 0.096
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.1940     0.8950 0.000 0.076 0.000 0.924
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.0000     0.9830 0.000 0.000 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9642 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.3610     0.8530 0.000 0.800 0.000 0.200
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0000     0.9830 0.000 0.000 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.2149     0.8594 0.088 0.000 0.912 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.0000     0.9830 0.000 0.000 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.3801     0.8404 0.000 0.780 0.000 0.220
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.2530     0.8933 0.000 0.888 0.000 0.112
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.2760     0.8877 0.000 0.872 0.000 0.128
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.4040     0.8128 0.000 0.752 0.000 0.248
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0921     0.9033 0.000 0.972 0.000 0.028
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000     0.8998 0.000 1.000 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.3801     0.8404 0.000 0.780 0.000 0.220
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.0000     0.9830 0.000 0.000 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.3074     0.8797 0.000 0.848 0.000 0.152
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.2973     0.8073 0.856 0.000 0.144 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.1867     0.9004 0.000 0.928 0.000 0.072
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000     0.9479 0.000 0.000 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000     0.9479 0.000 0.000 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0404      0.899 0.000 0.988 0.000 0.000 0.012
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.1608      0.576 0.000 0.000 0.928 0.000 0.072
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.4030      0.638 0.648 0.000 0.000 0.000 0.352
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.3366      0.839 0.000 0.784 0.000 0.212 0.004
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.640 0.000 0.000 1.000 0.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.0162      0.966 0.000 0.000 0.000 0.996 0.004
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.1478      0.623 0.000 0.000 0.936 0.000 0.064
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.3796      0.513 0.000 0.000 0.700 0.000 0.300
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.4045     -0.101 0.000 0.000 0.644 0.000 0.356
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0404      0.899 0.000 0.988 0.000 0.000 0.012
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0404      0.899 0.000 0.988 0.000 0.000 0.012
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.4030      0.638 0.648 0.000 0.000 0.000 0.352
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0404      0.899 0.000 0.988 0.000 0.000 0.012
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0404      0.899 0.000 0.988 0.000 0.000 0.012
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.1124      0.903 0.000 0.960 0.000 0.036 0.004
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.2179      0.890 0.000 0.888 0.000 0.112 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0671      0.903 0.000 0.980 0.000 0.016 0.004
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0404      0.899 0.000 0.988 0.000 0.000 0.012
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.3210      0.839 0.000 0.788 0.000 0.212 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.1124      0.903 0.000 0.960 0.000 0.036 0.004
#> 00B1B6C5-C4C1-4248-8879-F30727137391     5  0.6810     -0.196 0.348 0.000 0.300 0.000 0.352
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     5  0.4101      0.749 0.000 0.000 0.372 0.000 0.628
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0404      0.899 0.000 0.988 0.000 0.000 0.012
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.3366      0.839 0.000 0.784 0.000 0.212 0.004
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.2891      0.574 0.000 0.000 0.824 0.000 0.176
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.6626      0.268 0.224 0.000 0.424 0.000 0.352
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.5756      0.459 0.312 0.576 0.000 0.112 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     5  0.4101      0.749 0.000 0.000 0.372 0.000 0.628
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.4030      0.485 0.000 0.000 0.648 0.000 0.352
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.3424      0.256 0.000 0.000 0.760 0.000 0.240
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.1638      0.903 0.000 0.932 0.000 0.064 0.004
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0162      0.966 0.000 0.000 0.000 0.996 0.004
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.3003      0.855 0.000 0.812 0.000 0.188 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.4045     -0.101 0.000 0.000 0.644 0.000 0.356
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.3010      0.715 0.172 0.000 0.000 0.824 0.004
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.4030      0.638 0.648 0.000 0.000 0.000 0.352
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.0510      0.959 0.000 0.016 0.000 0.984 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     5  0.4101      0.749 0.000 0.000 0.372 0.000 0.628
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      0.640 0.000 0.000 1.000 0.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.2179      0.895 0.000 0.896 0.000 0.100 0.004
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.0162      0.966 0.000 0.000 0.000 0.996 0.004
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     5  0.4101      0.749 0.000 0.000 0.372 0.000 0.628
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.3366      0.839 0.000 0.784 0.000 0.212 0.004
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0510      0.899 0.000 0.984 0.000 0.000 0.016
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0404      0.899 0.000 0.988 0.000 0.000 0.012
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.1270      0.902 0.000 0.948 0.000 0.052 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     5  0.6814     -0.238 0.304 0.000 0.344 0.000 0.352
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.3231      0.849 0.000 0.800 0.000 0.196 0.004
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     1  0.3596      0.661 0.776 0.012 0.000 0.212 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.1502      0.903 0.000 0.940 0.000 0.056 0.004
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.0566      0.959 0.000 0.012 0.000 0.984 0.004
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.0162      0.966 0.000 0.000 0.000 0.996 0.004
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.3366      0.839 0.000 0.784 0.000 0.212 0.004
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.3366      0.839 0.000 0.784 0.000 0.212 0.004
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0404      0.899 0.000 0.988 0.000 0.000 0.012
#> 7559E197-0527-40D8-A982-C37B35A9A902     5  0.4101      0.749 0.000 0.000 0.372 0.000 0.628
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.640 0.000 0.000 1.000 0.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.3395      0.818 0.000 0.764 0.000 0.236 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     5  0.4150      0.725 0.000 0.000 0.388 0.000 0.612
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     5  0.4101      0.749 0.000 0.000 0.372 0.000 0.628
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0510      0.899 0.000 0.984 0.000 0.000 0.016
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0510      0.899 0.000 0.984 0.000 0.000 0.016
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     5  0.4101      0.749 0.000 0.000 0.372 0.000 0.628
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.1300      0.901 0.000 0.956 0.000 0.028 0.016
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.4402      0.623 0.636 0.000 0.012 0.000 0.352
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0404      0.899 0.000 0.988 0.000 0.000 0.012
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000      0.640 0.000 0.000 1.000 0.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.4030      0.638 0.648 0.000 0.000 0.000 0.352
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.0162      0.966 0.000 0.000 0.000 0.996 0.004
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.2806      0.874 0.000 0.844 0.000 0.152 0.004
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.3366      0.839 0.000 0.784 0.000 0.212 0.004
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.3949      0.657 0.668 0.000 0.000 0.000 0.332
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.3210      0.839 0.000 0.788 0.000 0.212 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     5  0.4101      0.749 0.000 0.000 0.372 0.000 0.628
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0404      0.899 0.000 0.988 0.000 0.000 0.012
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0404      0.899 0.000 0.988 0.000 0.000 0.012
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.0162      0.966 0.000 0.000 0.000 0.996 0.004
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     5  0.4101      0.749 0.000 0.000 0.372 0.000 0.628
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.1638      0.902 0.000 0.932 0.000 0.064 0.004
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0963      0.904 0.000 0.964 0.000 0.036 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0404      0.899 0.000 0.988 0.000 0.000 0.012
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.6790      0.162 0.284 0.000 0.364 0.000 0.352
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     4  0.0162      0.966 0.000 0.000 0.000 0.996 0.004
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.1792      0.898 0.000 0.916 0.000 0.084 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.4182      0.483 0.004 0.000 0.644 0.000 0.352
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.3366      0.839 0.000 0.784 0.000 0.212 0.004
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.2930      0.868 0.000 0.832 0.000 0.164 0.004
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0404      0.899 0.000 0.988 0.000 0.000 0.012
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0162      0.637 0.000 0.000 0.996 0.000 0.004
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.0955      0.947 0.000 0.028 0.000 0.968 0.004
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      0.640 0.000 0.000 1.000 0.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      0.640 0.000 0.000 1.000 0.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.4030      0.638 0.648 0.000 0.000 0.000 0.352
#> B9C99F02-10F1-44A6-B9FE-716955D00521     5  0.4101      0.749 0.000 0.000 0.372 0.000 0.628
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.1671      0.869 0.924 0.000 0.000 0.000 0.076
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.1952      0.898 0.000 0.912 0.000 0.084 0.004
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.1851      0.866 0.000 0.088 0.000 0.912 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.0566      0.959 0.000 0.012 0.000 0.984 0.004
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0404      0.899 0.000 0.988 0.000 0.000 0.012
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.919 1.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.3196      0.852 0.000 0.804 0.000 0.192 0.004
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.1197      0.601 0.000 0.000 0.952 0.000 0.048
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0404      0.899 0.000 0.988 0.000 0.000 0.012
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0162      0.966 0.000 0.000 0.000 0.996 0.004
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.5273      0.434 0.060 0.000 0.588 0.000 0.352
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.4030      0.485 0.000 0.000 0.648 0.000 0.352
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.0162      0.966 0.000 0.000 0.000 0.996 0.004
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0404      0.899 0.000 0.988 0.000 0.000 0.012
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.3366      0.839 0.000 0.784 0.000 0.212 0.004
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.4219     -0.295 0.000 0.000 0.584 0.000 0.416
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.2522      0.894 0.000 0.880 0.000 0.108 0.012
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.2389      0.888 0.000 0.880 0.000 0.116 0.004
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0404      0.899 0.000 0.988 0.000 0.000 0.012
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.3424      0.813 0.000 0.760 0.000 0.240 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.1300      0.903 0.000 0.956 0.000 0.028 0.016
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0510      0.899 0.000 0.984 0.000 0.000 0.016
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      0.640 0.000 0.000 1.000 0.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.3210      0.839 0.000 0.788 0.000 0.212 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.0404      0.960 0.000 0.012 0.000 0.988 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.2516      0.881 0.000 0.860 0.000 0.140 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.5630      0.504 0.560 0.000 0.088 0.000 0.352
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.4045     -0.101 0.000 0.000 0.644 0.000 0.356
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.2046      0.901 0.000 0.916 0.000 0.068 0.016
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      0.640 0.000 0.000 1.000 0.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.1608      0.575 0.000 0.000 0.928 0.000 0.072

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.1007     0.9212 0.956 0.000 0.000 0.000 0.000 0.044
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000     0.7708 0.000 1.000 0.000 0.000 0.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     5  0.5623     0.6850 0.000 0.000 0.312 0.000 0.516 0.172
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     6  0.3023     0.8246 0.232 0.000 0.000 0.000 0.000 0.768
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.4333     0.7736 0.000 0.596 0.000 0.028 0.376 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     5  0.5092     0.9086 0.000 0.000 0.144 0.000 0.624 0.232
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.0000     0.8234 0.000 0.000 0.000 1.000 0.000 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     5  0.4973     0.8840 0.000 0.000 0.112 0.000 0.624 0.264
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0632     0.9385 0.976 0.000 0.000 0.000 0.000 0.024
#> 12078907-435A-46C9-96C1-24E71BF4602D     5  0.4131     0.7763 0.000 0.000 0.020 0.000 0.624 0.356
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.5045    -0.1165 0.000 0.000 0.512 0.000 0.412 0.076
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000     0.7708 0.000 1.000 0.000 0.000 0.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000     0.7708 0.000 1.000 0.000 0.000 0.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     6  0.3023     0.8246 0.232 0.000 0.000 0.000 0.000 0.768
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000     0.7708 0.000 1.000 0.000 0.000 0.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000     0.7708 0.000 1.000 0.000 0.000 0.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.3592     0.7964 0.000 0.656 0.000 0.000 0.344 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.4045     0.7918 0.000 0.664 0.000 0.024 0.312 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.3221     0.8031 0.000 0.736 0.000 0.000 0.264 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000     0.7708 0.000 1.000 0.000 0.000 0.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.4166     0.7866 0.000 0.648 0.000 0.028 0.324 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.3620     0.7939 0.000 0.648 0.000 0.000 0.352 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     6  0.1814     0.7995 0.100 0.000 0.000 0.000 0.000 0.900
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.8174 0.000 0.000 1.000 0.000 0.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000     0.7708 0.000 1.000 0.000 0.000 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.4333     0.7736 0.000 0.596 0.000 0.028 0.376 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     5  0.4863     0.8640 0.000 0.000 0.092 0.000 0.624 0.284
#> E6F801F4-9289-4623-B7D9-60CA56C71683     6  0.2003     0.7962 0.116 0.000 0.000 0.000 0.000 0.884
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.6332     0.4082 0.328 0.424 0.000 0.016 0.232 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.8174 0.000 0.000 1.000 0.000 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     6  0.0000     0.6631 0.000 0.000 0.000 0.000 0.000 1.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.5298     0.1552 0.000 0.000 0.592 0.000 0.248 0.160
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.3784     0.8007 0.000 0.680 0.000 0.012 0.308 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0000     0.8234 0.000 0.000 0.000 1.000 0.000 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.4124     0.7879 0.000 0.644 0.000 0.024 0.332 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.5016    -0.0443 0.000 0.000 0.532 0.000 0.392 0.076
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.0713     0.7893 0.028 0.000 0.000 0.972 0.000 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     6  0.3023     0.8246 0.232 0.000 0.000 0.000 0.000 0.768
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.3288     0.7410 0.000 0.000 0.000 0.724 0.276 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.8174 0.000 0.000 1.000 0.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     5  0.5092     0.9086 0.000 0.000 0.144 0.000 0.624 0.232
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.3695     0.8012 0.000 0.732 0.000 0.024 0.244 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.0000     0.8234 0.000 0.000 0.000 1.000 0.000 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.8174 0.000 0.000 1.000 0.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.4333     0.7736 0.000 0.596 0.000 0.028 0.376 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.1141     0.7725 0.000 0.948 0.000 0.000 0.052 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000     0.7708 0.000 1.000 0.000 0.000 0.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.3547     0.7994 0.000 0.696 0.000 0.004 0.300 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     6  0.1910     0.8049 0.108 0.000 0.000 0.000 0.000 0.892
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.4241     0.7793 0.000 0.608 0.000 0.024 0.368 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     1  0.4210     0.3884 0.636 0.000 0.000 0.028 0.336 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.3778     0.8014 0.000 0.696 0.000 0.016 0.288 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.3288     0.7410 0.000 0.000 0.000 0.724 0.276 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.0000     0.8234 0.000 0.000 0.000 1.000 0.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.4333     0.7736 0.000 0.596 0.000 0.028 0.376 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.4333     0.7736 0.000 0.596 0.000 0.028 0.376 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000     0.7708 0.000 1.000 0.000 0.000 0.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.8174 0.000 0.000 1.000 0.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     5  0.5092     0.9086 0.000 0.000 0.144 0.000 0.624 0.232
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.4799     0.7575 0.000 0.592 0.000 0.068 0.340 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0914     0.7925 0.000 0.000 0.968 0.000 0.016 0.016
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.8174 0.000 0.000 1.000 0.000 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0146     0.7705 0.000 0.996 0.000 0.000 0.004 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0146     0.7705 0.000 0.996 0.000 0.000 0.004 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.1007     0.9212 0.956 0.000 0.000 0.000 0.000 0.044
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.8174 0.000 0.000 1.000 0.000 0.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.1753     0.7775 0.000 0.912 0.000 0.004 0.084 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     6  0.3023     0.8246 0.232 0.000 0.000 0.000 0.000 0.768
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000     0.7708 0.000 1.000 0.000 0.000 0.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     5  0.5092     0.9086 0.000 0.000 0.144 0.000 0.624 0.232
#> 5D916BB7-6B38-414E-875E-2497C91B209A     6  0.3023     0.8246 0.232 0.000 0.000 0.000 0.000 0.768
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.0000     0.8234 0.000 0.000 0.000 1.000 0.000 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.4230     0.7810 0.000 0.612 0.000 0.024 0.364 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.4333     0.7736 0.000 0.596 0.000 0.028 0.376 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.3843    -0.0880 0.548 0.000 0.000 0.000 0.000 0.452
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.4322     0.7746 0.000 0.600 0.000 0.028 0.372 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.8174 0.000 0.000 1.000 0.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000     0.7708 0.000 1.000 0.000 0.000 0.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000     0.7708 0.000 1.000 0.000 0.000 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.0000     0.8234 0.000 0.000 0.000 1.000 0.000 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.8174 0.000 0.000 1.000 0.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.3710     0.8018 0.000 0.696 0.000 0.012 0.292 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.3634     0.7926 0.000 0.644 0.000 0.000 0.356 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.1007     0.9212 0.956 0.000 0.000 0.000 0.000 0.044
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000     0.7708 0.000 1.000 0.000 0.000 0.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     6  0.2457     0.7620 0.084 0.000 0.000 0.000 0.036 0.880
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0937     0.9248 0.960 0.000 0.000 0.000 0.000 0.040
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     4  0.0000     0.8234 0.000 0.000 0.000 1.000 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.3454     0.8006 0.000 0.768 0.000 0.024 0.208 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     6  0.3881    -0.3069 0.004 0.000 0.000 0.000 0.396 0.600
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.4333     0.7736 0.000 0.596 0.000 0.028 0.376 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.4230     0.7810 0.000 0.612 0.000 0.024 0.364 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000     0.7708 0.000 1.000 0.000 0.000 0.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     5  0.5102     0.9055 0.000 0.000 0.148 0.000 0.624 0.228
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.3883     0.6907 0.000 0.012 0.000 0.656 0.332 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     5  0.5092     0.9086 0.000 0.000 0.144 0.000 0.624 0.232
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     5  0.5092     0.9086 0.000 0.000 0.144 0.000 0.624 0.232
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     6  0.3023     0.8246 0.232 0.000 0.000 0.000 0.000 0.768
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.8174 0.000 0.000 1.000 0.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.2135     0.8133 0.872 0.000 0.000 0.000 0.000 0.128
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.3301     0.8005 0.000 0.788 0.000 0.024 0.188 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.4750     0.6230 0.000 0.064 0.000 0.596 0.340 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.3578     0.6918 0.000 0.000 0.000 0.660 0.340 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000     0.7708 0.000 1.000 0.000 0.000 0.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9570 1.000 0.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.4241     0.7793 0.000 0.608 0.000 0.024 0.368 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     5  0.5409     0.8141 0.000 0.000 0.232 0.000 0.580 0.188
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000     0.7708 0.000 1.000 0.000 0.000 0.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.1007     0.8143 0.000 0.000 0.000 0.956 0.044 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     6  0.1572     0.7020 0.036 0.000 0.000 0.000 0.028 0.936
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     5  0.3854     0.6245 0.000 0.000 0.000 0.000 0.536 0.464
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.0937     0.8198 0.000 0.000 0.000 0.960 0.040 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000     0.7708 0.000 1.000 0.000 0.000 0.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.4333     0.7736 0.000 0.596 0.000 0.028 0.376 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.3752     0.5737 0.000 0.000 0.772 0.000 0.164 0.064
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.3834     0.8006 0.000 0.708 0.000 0.024 0.268 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.4230     0.7810 0.000 0.612 0.000 0.024 0.364 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000     0.7708 0.000 1.000 0.000 0.000 0.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.4684     0.7559 0.000 0.576 0.000 0.052 0.372 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.2003     0.7865 0.000 0.884 0.000 0.000 0.116 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0146     0.7711 0.000 0.996 0.000 0.000 0.004 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     5  0.5092     0.9086 0.000 0.000 0.144 0.000 0.624 0.232
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.4224     0.7814 0.000 0.632 0.000 0.028 0.340 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.3288     0.7410 0.000 0.000 0.000 0.724 0.276 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.4150     0.7883 0.000 0.652 0.000 0.028 0.320 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     6  0.2562     0.8263 0.172 0.000 0.000 0.000 0.000 0.828
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.5045    -0.1165 0.000 0.000 0.512 0.000 0.412 0.076
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.1829     0.7765 0.000 0.920 0.000 0.024 0.056 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     5  0.5092     0.9086 0.000 0.000 0.144 0.000 0.624 0.232
#> 5F1797CC-C35C-44D4-867B-9824FE037552     5  0.5625     0.7007 0.000 0.000 0.304 0.000 0.520 0.176

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-ATC-pam-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-ATC-pam-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-ATC-pam-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-ATC-pam-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-ATC-pam-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-ATC-pam-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-ATC-pam-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-ATC-pam-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-ATC-pam-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-ATC-pam-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-ATC-pam-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-ATC-pam-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-ATC-pam-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-ATC-pam-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-ATC-pam-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-ATC-pam-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-ATC-pam-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-ATC-pam-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-ATC-pam-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-ATC-pam-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk ATC-pam-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-ATC-pam-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-ATC-pam-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-ATC-pam-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-ATC-pam-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-ATC-pam-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk ATC-pam-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


ATC:mclust**

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["ATC", "mclust"]
# you can also extract it by
# res = res_list["ATC:mclust"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#>   Subgroups are detected by 'mclust' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 4.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk ATC-mclust-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk ATC-mclust-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 1.000           1.000       1.000         0.5034 0.497   0.497
#> 3 3 0.948           0.925       0.965         0.2548 0.871   0.740
#> 4 4 1.000           0.969       0.985         0.1501 0.897   0.723
#> 5 5 0.884           0.903       0.896         0.0811 0.920   0.717
#> 6 6 0.890           0.883       0.920         0.0457 0.939   0.721

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 4
#> attr(,"optional")
#> [1] 2 3

There is also optional best \(k\) = 2 3 that is worth to check.

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette p1 p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1       0          1  1  0
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2       0          1  0  1
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1       0          1  1  0
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1       0          1  1  0
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1       0          1  1  0
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2       0          1  0  1
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1       0          1  1  0
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2       0          1  0  1
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1       0          1  1  0
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1       0          1  1  0
#> 12078907-435A-46C9-96C1-24E71BF4602D     1       0          1  1  0
#> 8670C657-F6AB-4767-9278-42E64C614370     1       0          1  1  0
#> 1709294C-7194-493D-AF5C-574927F57C0C     2       0          1  0  1
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1       0          1  1  0
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2       0          1  0  1
#> ABB04648-2D62-4E34-9003-4458BF84318D     1       0          1  1  0
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1       0          1  1  0
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2       0          1  0  1
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2       0          1  0  1
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2       0          1  0  1
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2       0          1  0  1
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2       0          1  0  1
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2       0          1  0  1
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2       0          1  0  1
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2       0          1  0  1
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1       0          1  1  0
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1       0          1  1  0
#> 75565A38-EC23-4052-8D31-903C601F64D5     2       0          1  0  1
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1       0          1  1  0
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2       0          1  0  1
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1       0          1  1  0
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1       0          1  1  0
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2       0          1  0  1
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1       0          1  1  0
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1       0          1  1  0
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1       0          1  1  0
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1       0          1  1  0
#> 589ACA26-273D-491F-836B-A604BE63947B     2       0          1  0  1
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2       0          1  0  1
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2       0          1  0  1
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1       0          1  1  0
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1       0          1  1  0
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2       0          1  0  1
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1       0          1  1  0
#> C3087790-7575-4662-A7DC-B32808B9A775     2       0          1  0  1
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1       0          1  1  0
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1       0          1  1  0
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1       0          1  1  0
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2       0          1  0  1
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2       0          1  0  1
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1       0          1  1  0
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2       0          1  0  1
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2       0          1  0  1
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1       0          1  1  0
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2       0          1  0  1
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2       0          1  0  1
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1       0          1  1  0
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2       0          1  0  1
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2       0          1  0  1
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2       0          1  0  1
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1       0          1  1  0
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2       0          1  0  1
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1       0          1  1  0
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2       0          1  0  1
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1       0          1  1  0
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2       0          1  0  1
#> 1339CB34-B996-470A-9710-0649DD05D18A     2       0          1  0  1
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2       0          1  0  1
#> 7559E197-0527-40D8-A982-C37B35A9A902     1       0          1  1  0
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1       0          1  1  0
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1       0          1  1  0
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1       0          1  1  0
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1       0          1  1  0
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2       0          1  0  1
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1       0          1  1  0
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1       0          1  1  0
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2       0          1  0  1
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2       0          1  0  1
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1       0          1  1  0
#> E61A5740-7C26-4730-9610-A3C710098B92     1       0          1  1  0
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2       0          1  0  1
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1       0          1  1  0
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2       0          1  0  1
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1       0          1  1  0
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1       0          1  1  0
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1       0          1  1  0
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2       0          1  0  1
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2       0          1  0  1
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2       0          1  0  1
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1       0          1  1  0
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2       0          1  0  1
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1       0          1  1  0
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2       0          1  0  1
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2       0          1  0  1
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2       0          1  0  1
#> CF882451-7864-4A14-8893-D9F3D1B79379     1       0          1  1  0
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1       0          1  1  0
#> 10161FA0-E389-4D98-B854-098AF908C898     1       0          1  1  0
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2       0          1  0  1
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1       0          1  1  0
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2       0          1  0  1
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1       0          1  1  0
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2       0          1  0  1
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1       0          1  1  0
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1       0          1  1  0
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2       0          1  0  1
#> C06A7A87-28A2-4851-A743-583F729D07D3     1       0          1  1  0
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2       0          1  0  1
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1       0          1  1  0
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1       0          1  1  0
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2       0          1  0  1
#> 692A3312-2027-472B-A28C-C661A0539EB5     2       0          1  0  1
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1       0          1  1  0
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2       0          1  0  1
#> 86689648-2C4A-456F-A551-B9731400846C     1       0          1  1  0
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1       0          1  1  0
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2       0          1  0  1
#> BFB33809-F185-4835-8329-AE53FDEE847C     1       0          1  1  0
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1       0          1  1  0
#> 852F1EDF-6046-462C-820F-9782410E1845     1       0          1  1  0
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1       0          1  1  0
#> B18217F7-303C-4104-848E-A354DADE72BF     1       0          1  1  0
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1       0          1  1  0
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1       0          1  1  0
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1       0          1  1  0
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2       0          1  0  1
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2       0          1  0  1
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1       0          1  1  0
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2       0          1  0  1
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2       0          1  0  1
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1       0          1  1  0
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2       0          1  0  1
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1       0          1  1  0
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2       0          1  0  1
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2       0          1  0  1
#> 864194B9-3525-439D-84A4-EA257300335C     1       0          1  1  0
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1       0          1  1  0
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2       0          1  0  1
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2       0          1  0  1
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2       0          1  0  1
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1       0          1  1  0
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2       0          1  0  1
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2       0          1  0  1
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2       0          1  0  1
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2       0          1  0  1
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2       0          1  0  1
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2       0          1  0  1
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1       0          1  1  0
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2       0          1  0  1
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2       0          1  0  1
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2       0          1  0  1
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1       0          1  1  0
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1       0          1  1  0
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2       0          1  0  1
#> 6ED5E961-E559-4459-937E-D0F03650620F     1       0          1  1  0
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1       0          1  1  0

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1    p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.882 1.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.999 0.000 1.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0237      0.980 0.004 0.000 0.996
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.882 1.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.5926      0.572 0.644 0.000 0.356
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.999 0.000 1.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0424      0.976 0.008 0.000 0.992
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0237      0.998 0.000 0.996 0.004
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0237      0.980 0.004 0.000 0.996
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.5926      0.572 0.644 0.000 0.356
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0237      0.980 0.004 0.000 0.996
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0237      0.980 0.004 0.000 0.996
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.999 0.000 1.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.882 1.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.999 0.000 1.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      0.882 1.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      0.882 1.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.999 0.000 1.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.999 0.000 1.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.999 0.000 1.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.999 0.000 1.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.999 0.000 1.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.999 0.000 1.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      0.999 0.000 1.000 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.999 0.000 1.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.5948      0.565 0.640 0.000 0.360
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0237      0.980 0.004 0.000 0.996
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.999 0.000 1.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.882 1.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.999 0.000 1.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0237      0.980 0.004 0.000 0.996
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1  0.5926      0.572 0.644 0.000 0.356
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.0237      0.998 0.000 0.996 0.004
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0237      0.980 0.004 0.000 0.996
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1  0.6045      0.528 0.620 0.000 0.380
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.882 1.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0237      0.980 0.004 0.000 0.996
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.999 0.000 1.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0237      0.998 0.000 0.996 0.004
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      0.999 0.000 1.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.882 1.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0237      0.980 0.004 0.000 0.996
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0237      0.998 0.000 0.996 0.004
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.882 1.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0237      0.998 0.000 0.996 0.004
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0237      0.980 0.004 0.000 0.996
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0237      0.980 0.004 0.000 0.996
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.882 1.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      0.999 0.000 1.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0237      0.998 0.000 0.996 0.004
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0237      0.980 0.004 0.000 0.996
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.999 0.000 1.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.999 0.000 1.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.882 1.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.999 0.000 1.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      0.999 0.000 1.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1  0.6111      0.495 0.604 0.000 0.396
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.999 0.000 1.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0237      0.998 0.000 0.996 0.004
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.999 0.000 1.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.882 1.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0237      0.998 0.000 0.996 0.004
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.882 1.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0237      0.998 0.000 0.996 0.004
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.882 1.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      0.999 0.000 1.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      0.999 0.000 1.000 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.999 0.000 1.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0237      0.980 0.004 0.000 0.996
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0424      0.976 0.008 0.000 0.992
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.882 1.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.5926      0.572 0.644 0.000 0.356
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.882 1.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0237      0.998 0.000 0.996 0.004
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0237      0.980 0.004 0.000 0.996
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0237      0.980 0.004 0.000 0.996
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.999 0.000 1.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.999 0.000 1.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.882 1.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0237      0.980 0.004 0.000 0.996
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.999 0.000 1.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.5926      0.572 0.644 0.000 0.356
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.999 0.000 1.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0237      0.980 0.004 0.000 0.996
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      0.882 1.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.5926      0.572 0.644 0.000 0.356
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0237      0.998 0.000 0.996 0.004
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.999 0.000 1.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      0.999 0.000 1.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0237      0.880 0.996 0.000 0.004
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      0.999 0.000 1.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0237      0.980 0.004 0.000 0.996
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.999 0.000 1.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.999 0.000 1.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0237      0.998 0.000 0.996 0.004
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.882 1.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.882 1.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0237      0.980 0.004 0.000 0.996
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.999 0.000 1.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.5926      0.572 0.644 0.000 0.356
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      0.999 0.000 1.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.882 1.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.999 0.000 1.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.6286     -0.120 0.464 0.000 0.536
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.882 1.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0237      0.998 0.000 0.996 0.004
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.882 1.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.999 0.000 1.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.882 1.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.2496      0.897 0.068 0.004 0.928
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      0.999 0.000 1.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.999 0.000 1.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.882 1.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.999 0.000 1.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0237      0.980 0.004 0.000 0.996
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.882 1.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0237      0.998 0.000 0.996 0.004
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0237      0.980 0.004 0.000 0.996
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0237      0.980 0.004 0.000 0.996
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.882 1.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      0.882 1.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.5926      0.572 0.644 0.000 0.356
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0237      0.980 0.004 0.000 0.996
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.882 1.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      0.882 1.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.999 0.000 1.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0237      0.998 0.000 0.996 0.004
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      0.882 1.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0237      0.998 0.000 0.996 0.004
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      0.999 0.000 1.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.882 1.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.999 0.000 1.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0237      0.980 0.004 0.000 0.996
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      0.999 0.000 1.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0237      0.998 0.000 0.996 0.004
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.6215      0.422 0.572 0.000 0.428
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0237      0.980 0.004 0.000 0.996
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0237      0.998 0.000 0.996 0.004
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.999 0.000 1.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.999 0.000 1.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0237      0.980 0.004 0.000 0.996
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.999 0.000 1.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.999 0.000 1.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      0.999 0.000 1.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      0.999 0.000 1.000 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.999 0.000 1.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.999 0.000 1.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0237      0.980 0.004 0.000 0.996
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0237      0.998 0.000 0.996 0.004
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0237      0.998 0.000 0.996 0.004
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      0.999 0.000 1.000 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.5926      0.572 0.644 0.000 0.356
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0237      0.980 0.004 0.000 0.996
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.999 0.000 1.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0237      0.980 0.004 0.000 0.996
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0237      0.980 0.004 0.000 0.996

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.0707     0.9851 0.980 0.000 0.000 0.020
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.1022     0.9566 0.000 0.968 0.000 0.032
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.0000     0.9556 0.000 0.000 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0707     0.9851 0.980 0.000 0.000 0.020
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0817     0.9626 0.000 0.976 0.000 0.024
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.2081     0.9179 0.000 0.916 0.000 0.084
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0779     0.9856 0.980 0.000 0.004 0.016
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.2011     0.9212 0.000 0.920 0.000 0.080
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1  0.0707     0.9851 0.980 0.000 0.000 0.020
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.0188     0.9548 0.000 0.004 0.000 0.996
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1  0.0779     0.9856 0.980 0.000 0.004 0.016
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0000     0.9556 0.000 0.000 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.0000     0.9556 0.000 0.000 0.000 1.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.0000     0.9556 0.000 0.000 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     4  0.5000     0.0323 0.000 0.496 0.000 0.504
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.0000     0.9556 0.000 0.000 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.3172     0.8378 0.000 0.840 0.000 0.160
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1  0.0895     0.9828 0.976 0.000 0.004 0.020
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.0188     0.9548 0.000 0.004 0.000 0.996
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.1792     0.9306 0.000 0.932 0.000 0.068
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.0188     0.9556 0.000 0.004 0.000 0.996
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.0000     0.9556 0.000 0.000 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.2216     0.9111 0.000 0.908 0.000 0.092
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0707     0.9851 0.980 0.000 0.000 0.020
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.0336     0.9523 0.000 0.008 0.000 0.992
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.2345     0.9047 0.000 0.900 0.000 0.100
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.0707     0.9851 0.980 0.000 0.000 0.020
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0707     0.9851 0.980 0.000 0.000 0.020
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.0000     0.9556 0.000 0.000 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.0000     0.9556 0.000 0.000 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0336     0.9912 0.992 0.000 0.000 0.008
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.0524     0.9888 0.988 0.000 0.008 0.004
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     4  0.0188     0.9556 0.000 0.004 0.000 0.996
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     4  0.4072     0.6366 0.000 0.000 0.252 0.748
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.3219     0.8322 0.000 0.836 0.000 0.164
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.0188     0.9556 0.000 0.004 0.000 0.996
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.0707     0.9851 0.980 0.000 0.000 0.020
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.0188     0.9556 0.000 0.004 0.000 0.996
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.0188     0.9556 0.000 0.004 0.000 0.996
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9946 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0000     0.9556 0.000 0.000 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.0779     0.9856 0.980 0.000 0.004 0.016
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0188     0.9949 0.004 0.000 0.996 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.0188     0.9556 0.000 0.004 0.000 0.996
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.2281     0.9077 0.000 0.904 0.000 0.096
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.2149     0.9154 0.000 0.912 0.000 0.088
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.3024     0.8541 0.000 0.852 0.000 0.148
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.2704     0.8812 0.000 0.876 0.000 0.124
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.0188     0.9556 0.000 0.004 0.000 0.996
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.0707     0.9851 0.980 0.000 0.000 0.020
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000     0.9768 0.000 1.000 0.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000     0.9998 0.000 0.000 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000     0.9998 0.000 0.000 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0162      0.985 0.000 0.000 0.996 0.000 0.004
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.3816      0.805 0.696 0.000 0.000 0.000 0.304
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.1341      0.903 0.000 0.944 0.000 0.056 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0290      0.983 0.000 0.000 0.992 0.000 0.008
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.0000      0.926 0.000 0.000 0.000 1.000 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.3816      0.805 0.696 0.000 0.000 0.000 0.304
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.1965      0.895 0.000 0.000 0.904 0.000 0.096
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.3796      0.807 0.700 0.000 0.000 0.000 0.300
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0162      0.923 0.000 0.996 0.000 0.000 0.004
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.927 0.000 1.000 0.000 0.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.2280      0.832 0.000 0.880 0.000 0.120 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.3796      0.807 0.700 0.000 0.000 0.000 0.300
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.1792      0.874 0.000 0.916 0.000 0.084 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1  0.3796      0.807 0.700 0.000 0.000 0.000 0.300
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.0162      0.925 0.000 0.004 0.000 0.996 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0162      0.985 0.000 0.000 0.996 0.000 0.004
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1  0.3796      0.807 0.700 0.000 0.000 0.000 0.300
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0162      0.985 0.000 0.000 0.996 0.000 0.004
#> 589ACA26-273D-491F-836B-A604BE63947B     5  0.3949      0.959 0.000 0.332 0.000 0.000 0.668
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0000      0.926 0.000 0.000 0.000 1.000 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0963      0.918 0.000 0.964 0.000 0.036 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.0000      0.926 0.000 0.000 0.000 1.000 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.0510      0.919 0.000 0.016 0.000 0.984 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0162      0.926 0.000 0.996 0.000 0.004 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.0000      0.926 0.000 0.000 0.000 1.000 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.4268      0.218 0.000 0.556 0.000 0.444 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0510      0.927 0.000 0.984 0.000 0.016 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1  0.3816      0.805 0.696 0.000 0.000 0.000 0.304
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0162      0.928 0.000 0.996 0.000 0.004 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.0162      0.925 0.000 0.004 0.000 0.996 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0609      0.926 0.000 0.980 0.000 0.020 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.1197      0.896 0.000 0.048 0.000 0.952 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.0000      0.926 0.000 0.000 0.000 1.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0963      0.918 0.000 0.964 0.000 0.036 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     4  0.4235      0.259 0.000 0.424 0.000 0.576 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0290      0.983 0.000 0.000 0.992 0.000 0.008
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.3816      0.805 0.696 0.000 0.000 0.000 0.304
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.0162      0.925 0.000 0.004 0.000 0.996 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0290      0.983 0.000 0.000 0.992 0.000 0.008
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0162      0.985 0.000 0.000 0.996 0.000 0.004
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.927 0.000 1.000 0.000 0.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.1544      0.891 0.000 0.932 0.000 0.068 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.3816      0.805 0.696 0.000 0.000 0.000 0.304
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.3796      0.807 0.700 0.000 0.000 0.000 0.300
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.3816      0.805 0.696 0.000 0.000 0.000 0.304
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.0000      0.926 0.000 0.000 0.000 1.000 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.927 0.000 1.000 0.000 0.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.1270      0.906 0.000 0.948 0.000 0.052 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.3796      0.807 0.700 0.000 0.000 0.000 0.300
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0290      0.928 0.000 0.992 0.000 0.008 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> DD36DD53-C576-44EF-A68B-E009B37A2385     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.0000      0.926 0.000 0.000 0.000 1.000 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.927 0.000 1.000 0.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.3816      0.805 0.696 0.000 0.000 0.000 0.304
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      0.927 0.000 1.000 0.000 0.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.3796      0.807 0.700 0.000 0.000 0.000 0.300
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     4  0.0000      0.926 0.000 0.000 0.000 1.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.927 0.000 1.000 0.000 0.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     4  0.5640      0.582 0.000 0.000 0.104 0.592 0.304
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     4  0.1732      0.865 0.000 0.080 0.000 0.920 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.927 0.000 1.000 0.000 0.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0290      0.983 0.000 0.000 0.992 0.000 0.008
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.0510      0.919 0.000 0.016 0.000 0.984 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.3816      0.805 0.696 0.000 0.000 0.000 0.304
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.927 0.000 1.000 0.000 0.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.3707      0.600 0.000 0.284 0.000 0.716 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0609      0.891 0.980 0.000 0.000 0.000 0.020
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.0000      0.926 0.000 0.000 0.000 1.000 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     5  0.4161      0.877 0.000 0.392 0.000 0.000 0.608
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.897 1.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0794      0.922 0.000 0.972 0.000 0.028 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0000      0.926 0.000 0.000 0.000 1.000 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.3796      0.807 0.700 0.000 0.000 0.000 0.300
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.4025      0.655 0.008 0.000 0.700 0.000 0.292
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.0000      0.926 0.000 0.000 0.000 1.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     4  0.3636      0.580 0.000 0.272 0.000 0.728 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.927 0.000 1.000 0.000 0.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.927 0.000 1.000 0.000 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     5  0.4542      0.729 0.000 0.456 0.000 0.008 0.536
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.2561      0.802 0.000 0.856 0.000 0.144 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     5  0.4138      0.889 0.000 0.384 0.000 0.000 0.616
#> 633D24E2-63CE-499F-A448-765AAAEF1977     5  0.3857      0.980 0.000 0.312 0.000 0.000 0.688
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.2648      0.794 0.000 0.848 0.000 0.152 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.0162      0.925 0.000 0.004 0.000 0.996 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0162      0.928 0.000 0.996 0.000 0.004 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.3796      0.807 0.700 0.000 0.000 0.000 0.300
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0162      0.928 0.000 0.996 0.000 0.004 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      0.986 0.000 0.000 1.000 0.000 0.000

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4    p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0260     0.9861 0.992 0.008 0.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     5  0.0632     0.9646 0.000 0.024 0.000 0.000 0.976 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0363     0.9727 0.000 0.000 0.988 0.000 0.000 0.012
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     6  0.1610     0.7960 0.084 0.000 0.000 0.000 0.000 0.916
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0260     0.8296 0.000 0.992 0.000 0.000 0.008 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.2048     0.8823 0.000 0.000 0.880 0.000 0.000 0.120
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.0146     0.9293 0.000 0.000 0.000 0.996 0.004 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.1285     0.9591 0.000 0.000 0.944 0.000 0.004 0.052
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     6  0.1610     0.7960 0.084 0.000 0.000 0.000 0.000 0.916
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.2402     0.8681 0.000 0.000 0.856 0.000 0.004 0.140
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0547     0.9716 0.000 0.000 0.980 0.000 0.000 0.020
#> 1709294C-7194-493D-AF5C-574927F57C0C     5  0.0363     0.9661 0.000 0.012 0.000 0.000 0.988 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     5  0.0363     0.9661 0.000 0.012 0.000 0.000 0.988 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     6  0.3531     0.7347 0.328 0.000 0.000 0.000 0.000 0.672
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     5  0.0363     0.9661 0.000 0.012 0.000 0.000 0.988 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     5  0.0632     0.9646 0.000 0.024 0.000 0.000 0.976 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.3659     0.6151 0.000 0.636 0.000 0.000 0.364 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.3101     0.7768 0.000 0.756 0.000 0.000 0.244 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     5  0.0790     0.9600 0.000 0.032 0.000 0.000 0.968 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     5  0.0547     0.9658 0.000 0.020 0.000 0.000 0.980 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.3518     0.7662 0.000 0.732 0.000 0.012 0.256 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     5  0.0790     0.9600 0.000 0.032 0.000 0.000 0.968 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     6  0.3371     0.7702 0.292 0.000 0.000 0.000 0.000 0.708
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0260     0.9708 0.000 0.000 0.992 0.000 0.000 0.008
#> 75565A38-EC23-4052-8D31-903C601F64D5     5  0.0458     0.9671 0.000 0.016 0.000 0.000 0.984 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0260     0.8296 0.000 0.992 0.000 0.000 0.008 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.1285     0.9591 0.000 0.000 0.944 0.000 0.004 0.052
#> E6F801F4-9289-4623-B7D9-60CA56C71683     6  0.3371     0.7706 0.292 0.000 0.000 0.000 0.000 0.708
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.3329     0.7684 0.000 0.236 0.000 0.756 0.004 0.004
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.9724 0.000 0.000 1.000 0.000 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     6  0.3371     0.7702 0.292 0.000 0.000 0.000 0.000 0.708
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0458     0.9681 0.000 0.000 0.984 0.000 0.000 0.016
#> 589ACA26-273D-491F-836B-A604BE63947B     5  0.1267     0.9383 0.000 0.060 0.000 0.000 0.940 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.0146     0.9293 0.000 0.000 0.000 0.996 0.004 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0547     0.8326 0.000 0.980 0.000 0.000 0.020 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0632     0.9704 0.000 0.000 0.976 0.000 0.000 0.024
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.0146     0.9293 0.000 0.000 0.000 0.996 0.004 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0363     0.9803 0.988 0.000 0.000 0.000 0.000 0.012
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.0146     0.9293 0.000 0.004 0.000 0.996 0.000 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.9724 0.000 0.000 1.000 0.000 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0937     0.9659 0.000 0.000 0.960 0.000 0.000 0.040
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.3984     0.5480 0.000 0.596 0.000 0.008 0.396 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.0000     0.9297 0.000 0.000 0.000 1.000 0.000 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9724 0.000 0.000 1.000 0.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.1285     0.7946 0.000 0.944 0.000 0.052 0.004 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     5  0.0458     0.9671 0.000 0.016 0.000 0.000 0.984 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     5  0.0458     0.9671 0.000 0.016 0.000 0.000 0.984 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.3221     0.7653 0.000 0.736 0.000 0.000 0.264 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     6  0.1610     0.7960 0.084 0.000 0.000 0.000 0.000 0.916
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0865     0.8360 0.000 0.964 0.000 0.000 0.036 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.3151     0.7538 0.000 0.252 0.000 0.748 0.000 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0363     0.8314 0.000 0.988 0.000 0.000 0.012 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     4  0.2854     0.7476 0.000 0.208 0.000 0.792 0.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     4  0.0000     0.9297 0.000 0.000 0.000 1.000 0.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0260     0.9861 0.992 0.008 0.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0260     0.8296 0.000 0.992 0.000 0.000 0.008 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0858     0.8120 0.000 0.968 0.000 0.028 0.004 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     5  0.0458     0.9671 0.000 0.016 0.000 0.000 0.984 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0260     0.9708 0.000 0.000 0.992 0.000 0.000 0.008
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.2048     0.8823 0.000 0.000 0.880 0.000 0.000 0.120
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     6  0.1610     0.7960 0.084 0.000 0.000 0.000 0.000 0.916
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.3175     0.7489 0.000 0.256 0.000 0.744 0.000 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0458     0.9681 0.000 0.000 0.984 0.000 0.000 0.016
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0146     0.9720 0.000 0.000 0.996 0.000 0.000 0.004
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.3409     0.7192 0.000 0.700 0.000 0.000 0.300 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     5  0.0458     0.9671 0.000 0.016 0.000 0.000 0.984 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0260     0.9861 0.992 0.008 0.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0260     0.9708 0.000 0.000 0.992 0.000 0.000 0.008
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0458     0.8322 0.000 0.984 0.000 0.000 0.016 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     6  0.1610     0.7960 0.084 0.000 0.000 0.000 0.000 0.916
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     5  0.0458     0.9671 0.000 0.016 0.000 0.000 0.984 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.1285     0.9591 0.000 0.000 0.944 0.000 0.004 0.052
#> 5D916BB7-6B38-414E-875E-2497C91B209A     6  0.3797     0.5805 0.420 0.000 0.000 0.000 0.000 0.580
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     6  0.1610     0.7960 0.084 0.000 0.000 0.000 0.000 0.916
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     4  0.0000     0.9297 0.000 0.000 0.000 1.000 0.000 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.3198     0.7639 0.000 0.740 0.000 0.000 0.260 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0363     0.8291 0.000 0.988 0.000 0.000 0.012 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     6  0.3706     0.6584 0.380 0.000 0.000 0.000 0.000 0.620
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0937     0.8364 0.000 0.960 0.000 0.000 0.040 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.9724 0.000 0.000 1.000 0.000 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     5  0.0632     0.9662 0.000 0.024 0.000 0.000 0.976 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     5  0.0458     0.9671 0.000 0.016 0.000 0.000 0.984 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.0000     0.9297 0.000 0.000 0.000 1.000 0.000 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9724 0.000 0.000 1.000 0.000 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.3221     0.7607 0.000 0.736 0.000 0.000 0.264 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     6  0.1910     0.7976 0.108 0.000 0.000 0.000 0.000 0.892
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.3221     0.7653 0.000 0.736 0.000 0.000 0.264 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0260     0.9861 0.992 0.008 0.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     5  0.0632     0.9646 0.000 0.024 0.000 0.000 0.976 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     6  0.3446     0.7562 0.308 0.000 0.000 0.000 0.000 0.692
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     4  0.0000     0.9297 0.000 0.000 0.000 1.000 0.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.2996     0.7851 0.000 0.772 0.000 0.000 0.228 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     6  0.5184     0.4580 0.000 0.000 0.292 0.088 0.012 0.608
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.3221     0.4899 0.000 0.736 0.000 0.264 0.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0632     0.8345 0.000 0.976 0.000 0.000 0.024 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0260     0.9861 0.992 0.008 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     5  0.0632     0.9646 0.000 0.024 0.000 0.000 0.976 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0632     0.9646 0.000 0.000 0.976 0.000 0.000 0.024
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     4  0.0865     0.9142 0.000 0.036 0.000 0.964 0.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0458     0.9718 0.000 0.000 0.984 0.000 0.000 0.016
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.1141     0.9608 0.000 0.000 0.948 0.000 0.000 0.052
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     6  0.1610     0.7960 0.084 0.000 0.000 0.000 0.000 0.916
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.9724 0.000 0.000 1.000 0.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0458     0.9761 0.984 0.000 0.000 0.000 0.000 0.016
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.1267     0.9179 0.940 0.000 0.000 0.000 0.000 0.060
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.3409     0.7253 0.000 0.700 0.000 0.000 0.300 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.2558     0.8201 0.000 0.156 0.000 0.840 0.004 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.1814     0.8540 0.900 0.000 0.000 0.000 0.000 0.100
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.0146     0.9293 0.000 0.004 0.000 0.996 0.000 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     5  0.1957     0.8658 0.000 0.112 0.000 0.000 0.888 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9901 1.000 0.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0260     0.8296 0.000 0.992 0.000 0.000 0.008 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0790     0.9684 0.000 0.000 0.968 0.000 0.000 0.032
#> 879DC385-8E19-410C-8C04-0B7015FB7289     5  0.0458     0.9671 0.000 0.016 0.000 0.000 0.984 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.0146     0.9293 0.000 0.000 0.000 0.996 0.004 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     6  0.3371     0.7702 0.292 0.000 0.000 0.000 0.000 0.708
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     6  0.4220     0.0231 0.008 0.000 0.468 0.000 0.004 0.520
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     4  0.0000     0.9297 0.000 0.000 0.000 1.000 0.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     5  0.0547     0.9658 0.000 0.020 0.000 0.000 0.980 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.1700     0.7685 0.000 0.916 0.000 0.080 0.004 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000     0.9724 0.000 0.000 1.000 0.000 0.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.3244     0.7571 0.000 0.732 0.000 0.000 0.268 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.2454     0.8153 0.000 0.840 0.000 0.000 0.160 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     5  0.3499     0.4305 0.000 0.320 0.000 0.000 0.680 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0363     0.8291 0.000 0.988 0.000 0.000 0.012 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     5  0.1610     0.9105 0.000 0.084 0.000 0.000 0.916 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     5  0.0458     0.9671 0.000 0.016 0.000 0.000 0.984 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.1141     0.9608 0.000 0.000 0.948 0.000 0.000 0.052
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.1003     0.8237 0.000 0.964 0.000 0.020 0.016 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     4  0.0260     0.9280 0.000 0.008 0.000 0.992 0.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.3221     0.7653 0.000 0.736 0.000 0.000 0.264 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     6  0.3390     0.7680 0.296 0.000 0.000 0.000 0.000 0.704
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0458     0.9718 0.000 0.000 0.984 0.000 0.000 0.016
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.2491     0.8134 0.000 0.836 0.000 0.000 0.164 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0937     0.9659 0.000 0.000 0.960 0.000 0.000 0.040
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0790     0.9684 0.000 0.000 0.968 0.000 0.000 0.032

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-ATC-mclust-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-ATC-mclust-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-ATC-mclust-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-ATC-mclust-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-ATC-mclust-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-ATC-mclust-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-ATC-mclust-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-ATC-mclust-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-ATC-mclust-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-ATC-mclust-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-ATC-mclust-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-ATC-mclust-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-ATC-mclust-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-ATC-mclust-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-ATC-mclust-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-ATC-mclust-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-ATC-mclust-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-ATC-mclust-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-ATC-mclust-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-ATC-mclust-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk ATC-mclust-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-ATC-mclust-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-ATC-mclust-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-ATC-mclust-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-ATC-mclust-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-ATC-mclust-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk ATC-mclust-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.


ATC:NMF**

The object with results only for a single top-value method and a single partition method can be extracted as:

res = res_list["ATC", "NMF"]
# you can also extract it by
# res = res_list["ATC:NMF"]

A summary of res and all the functions that can be applied to it:

res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#>   On a matrix with 17978 rows and 156 columns.
#>   Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#>   Subgroups are detected by 'NMF' method.
#>   Performed in total 1250 partitions by row resampling.
#>   Best k for subgroups seems to be 3.
#> 
#> Following methods can be applied to this 'ConsensusPartition' object:
#>  [1] "cola_report"             "collect_classes"         "collect_plots"          
#>  [4] "collect_stats"           "colnames"                "compare_signatures"     
#>  [7] "consensus_heatmap"       "dimension_reduction"     "functional_enrichment"  
#> [10] "get_anno_col"            "get_anno"                "get_classes"            
#> [13] "get_consensus"           "get_matrix"              "get_membership"         
#> [16] "get_param"               "get_signatures"          "get_stats"              
#> [19] "is_best_k"               "is_stable_k"             "membership_heatmap"     
#> [22] "ncol"                    "nrow"                    "plot_ecdf"              
#> [25] "rownames"                "select_partition_number" "show"                   
#> [28] "suggest_best_k"          "test_to_known_factors"

collect_plots() function collects all the plots made from res for all k (number of partitions) into one single page to provide an easy and fast comparison between different k.

collect_plots(res)

plot of chunk ATC-NMF-collect-plots

The plots are:

All the plots in panels can be made by individual functions and they are plotted later in this section.

select_partition_number() produces several plots showing different statistics for choosing “optimized” k. There are following statistics:

The detailed explanations of these statistics can be found in the cola vignette.

Generally speaking, lower PAC score, higher mean silhouette score or higher concordance corresponds to better partition. Rand index and Jaccard index measure how similar the current partition is compared to partition with k-1. If they are too similar, we won't accept k is better than k-1.

select_partition_number(res)

plot of chunk ATC-NMF-select-partition-number

The numeric values for all these statistics can be obtained by get_stats().

get_stats(res)
#>   k 1-PAC mean_silhouette concordance area_increased  Rand Jaccard
#> 2 2 1.000           0.965       0.986         0.4982 0.503   0.503
#> 3 3 1.000           0.981       0.993         0.2838 0.803   0.629
#> 4 4 0.888           0.903       0.945         0.1067 0.925   0.796
#> 5 5 0.827           0.816       0.897         0.0240 0.985   0.951
#> 6 6 0.780           0.756       0.872         0.0304 0.942   0.821

suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:

suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2

There is also optional best \(k\) = 2 that is worth to check.

Following shows the table of the partitions (You need to click the show/hide code output link to see it). The membership matrix (columns with name p*) is inferred by clue::cl_consensus() function with the SE method. Basically the value in the membership matrix represents the probability to belong to a certain group. The finall class label for an item is determined with the group with highest probability it belongs to.

In get_classes() function, the entropy is calculated from the membership matrix and the silhouette score is calculated from the consensus matrix.

show/hide code output

cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#>                                      class entropy silhouette    p1    p2
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.993 1.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.980 0.000 1.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     1  0.0000      0.993 1.000 0.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.993 1.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.0000      0.993 1.000 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.980 0.000 1.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     1  0.0000      0.993 1.000 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0000      0.980 0.000 1.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     1  0.0000      0.993 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000      0.993 1.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     1  0.0000      0.993 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     1  0.0000      0.993 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.980 0.000 1.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     2  0.2043      0.951 0.032 0.968
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.980 0.000 1.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      0.993 1.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      0.993 1.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.980 0.000 1.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.980 0.000 1.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.980 0.000 1.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.980 0.000 1.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.980 0.000 1.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.980 0.000 1.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      0.980 0.000 1.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.980 0.000 1.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.0000      0.993 1.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     1  0.0000      0.993 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.980 0.000 1.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.4431      0.892 0.908 0.092
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.980 0.000 1.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     1  0.0000      0.993 1.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     1  0.0000      0.993 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.7815      0.702 0.232 0.768
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     1  0.0000      0.993 1.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     1  0.0000      0.993 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     2  0.7376      0.738 0.208 0.792
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     1  0.0000      0.993 1.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.980 0.000 1.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000      0.980 0.000 1.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      0.980 0.000 1.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     2  0.9922      0.211 0.448 0.552
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     1  0.0000      0.993 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     2  0.0000      0.980 0.000 1.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.993 1.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000      0.980 0.000 1.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     1  0.0000      0.993 1.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     1  0.0000      0.993 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.993 1.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      0.980 0.000 1.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000      0.980 0.000 1.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     1  0.0000      0.993 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.980 0.000 1.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.980 0.000 1.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.9209      0.474 0.664 0.336
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.980 0.000 1.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      0.980 0.000 1.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     1  0.0000      0.993 1.000 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.980 0.000 1.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      0.980 0.000 1.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.980 0.000 1.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.993 1.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      0.980 0.000 1.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.993 1.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      0.980 0.000 1.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.993 1.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      0.980 0.000 1.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      0.980 0.000 1.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.980 0.000 1.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     1  0.0000      0.993 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     1  0.0000      0.993 1.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     2  0.0000      0.980 0.000 1.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000      0.993 1.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0938      0.982 0.988 0.012
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000      0.980 0.000 1.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     1  0.0000      0.993 1.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     1  0.0000      0.993 1.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.980 0.000 1.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.980 0.000 1.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.993 1.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     1  0.0000      0.993 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.980 0.000 1.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     1  0.0000      0.993 1.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.980 0.000 1.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     1  0.0000      0.993 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      0.993 1.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000      0.993 1.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000      0.980 0.000 1.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.980 0.000 1.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      0.980 0.000 1.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      0.993 1.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      0.980 0.000 1.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     1  0.0000      0.993 1.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.980 0.000 1.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.980 0.000 1.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000      0.980 0.000 1.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.993 1.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     2  0.0000      0.980 0.000 1.000
#> 10161FA0-E389-4D98-B854-098AF908C898     1  0.0000      0.993 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.980 0.000 1.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      0.993 1.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      0.980 0.000 1.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.993 1.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.980 0.000 1.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     1  0.0000      0.993 1.000 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.993 1.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      0.980 0.000 1.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.993 1.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.980 0.000 1.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     2  0.2236      0.947 0.036 0.964
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     1  0.0000      0.993 1.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      0.980 0.000 1.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.980 0.000 1.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.993 1.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.980 0.000 1.000
#> 86689648-2C4A-456F-A551-B9731400846C     1  0.0000      0.993 1.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     2  0.9933      0.198 0.452 0.548
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      0.980 0.000 1.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     1  0.0000      0.993 1.000 0.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     1  0.0000      0.993 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     2  0.0000      0.980 0.000 1.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     2  0.8763      0.589 0.296 0.704
#> B18217F7-303C-4104-848E-A354DADE72BF     1  0.0000      0.993 1.000 0.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521     1  0.0000      0.993 1.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.993 1.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     2  0.0000      0.980 0.000 1.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.980 0.000 1.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000      0.980 0.000 1.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0376      0.989 0.996 0.004
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      0.980 0.000 1.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      0.980 0.000 1.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     2  0.1633      0.958 0.024 0.976
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.980 0.000 1.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     1  0.0000      0.993 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      0.980 0.000 1.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000      0.980 0.000 1.000
#> 864194B9-3525-439D-84A4-EA257300335C     1  0.0000      0.993 1.000 0.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     1  0.0000      0.993 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      0.980 0.000 1.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.980 0.000 1.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.980 0.000 1.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     1  0.0000      0.993 1.000 0.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.980 0.000 1.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.980 0.000 1.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      0.980 0.000 1.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      0.980 0.000 1.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.980 0.000 1.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.980 0.000 1.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     1  0.0000      0.993 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      0.980 0.000 1.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      0.980 0.000 1.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      0.980 0.000 1.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     1  0.0000      0.993 1.000 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     1  0.0000      0.993 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.980 0.000 1.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     1  0.0000      0.993 1.000 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     1  0.0000      0.993 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#>                                      class entropy silhouette    p1    p2    p3
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000      0.994 1.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0000      0.994 0.000 1.000 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0000      0.988 0.000 0.000 1.000
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000      0.994 1.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.2711      0.902 0.912 0.000 0.088
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000      0.994 0.000 1.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0000      0.988 0.000 0.000 1.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     2  0.0000      0.994 0.000 1.000 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000      0.988 0.000 0.000 1.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0000      0.994 1.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000      0.988 0.000 0.000 1.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000      0.988 0.000 0.000 1.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0000      0.994 0.000 1.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000      0.994 1.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0000      0.994 0.000 1.000 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000      0.994 1.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000      0.994 1.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000      0.994 0.000 1.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0000      0.994 0.000 1.000 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0000      0.994 0.000 1.000 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0000      0.994 0.000 1.000 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0000      0.994 0.000 1.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.0000      0.994 0.000 1.000 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.0000      0.994 0.000 1.000 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0000      0.994 0.000 1.000 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.3879      0.820 0.848 0.000 0.152
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000      0.988 0.000 0.000 1.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0000      0.994 0.000 1.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000      0.994 1.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0000      0.994 0.000 1.000 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000      0.988 0.000 0.000 1.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0000      0.988 0.000 0.000 1.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     2  0.6267      0.170 0.000 0.548 0.452
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000      0.988 0.000 0.000 1.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0000      0.988 0.000 0.000 1.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000      0.994 1.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000      0.988 0.000 0.000 1.000
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0000      0.994 0.000 1.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     2  0.0000      0.994 0.000 1.000 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0000      0.994 0.000 1.000 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000      0.994 1.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000      0.988 0.000 0.000 1.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     1  0.0000      0.994 1.000 0.000 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000      0.994 1.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     2  0.0000      0.994 0.000 1.000 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000      0.988 0.000 0.000 1.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000      0.988 0.000 0.000 1.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000      0.994 1.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.0000      0.994 0.000 1.000 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     2  0.0000      0.994 0.000 1.000 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000      0.988 0.000 0.000 1.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0000      0.994 0.000 1.000 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0000      0.994 0.000 1.000 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000      0.994 1.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0000      0.994 0.000 1.000 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.0000      0.994 0.000 1.000 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0000      0.988 0.000 0.000 1.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.0000      0.994 0.000 1.000 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     2  0.0000      0.994 0.000 1.000 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0000      0.994 0.000 1.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000      0.994 1.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.0000      0.994 0.000 1.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000      0.994 1.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.0000      0.994 0.000 1.000 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000      0.994 1.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0000      0.994 0.000 1.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.0000      0.994 0.000 1.000 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0000      0.994 0.000 1.000 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000      0.988 0.000 0.000 1.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0000      0.988 0.000 0.000 1.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000      0.994 1.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.0000      0.994 1.000 0.000 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000      0.994 1.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     2  0.0000      0.994 0.000 1.000 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000      0.988 0.000 0.000 1.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000      0.988 0.000 0.000 1.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0000      0.994 0.000 1.000 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0000      0.994 0.000 1.000 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000      0.994 1.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000      0.988 0.000 0.000 1.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0000      0.994 0.000 1.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     3  0.0000      0.988 0.000 0.000 1.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.0000      0.994 0.000 1.000 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000      0.988 0.000 0.000 1.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000      0.994 1.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     1  0.0000      0.994 1.000 0.000 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.0000      0.994 0.000 1.000 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0000      0.994 0.000 1.000 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0000      0.994 0.000 1.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0000      0.994 1.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0000      0.994 0.000 1.000 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000      0.988 0.000 0.000 1.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0000      0.994 0.000 1.000 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.0000      0.994 0.000 1.000 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     2  0.0000      0.994 0.000 1.000 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000      0.994 1.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000      0.994 1.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000      0.988 0.000 0.000 1.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000      0.994 0.000 1.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.0000      0.994 1.000 0.000 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.0000      0.994 0.000 1.000 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000      0.994 1.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.0000      0.994 0.000 1.000 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.2625      0.901 0.084 0.000 0.916
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000      0.994 1.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.0000      0.994 0.000 1.000 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000      0.994 1.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0000      0.994 0.000 1.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000      0.994 1.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0000      0.988 0.000 0.000 1.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0000      0.994 0.000 1.000 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.0000      0.994 0.000 1.000 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000      0.994 1.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0000      0.994 0.000 1.000 0.000
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0000      0.988 0.000 0.000 1.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000      0.994 1.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.0000      0.994 0.000 1.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0000      0.988 0.000 0.000 1.000
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000      0.988 0.000 0.000 1.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000      0.994 1.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000      0.994 1.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0237      0.985 0.004 0.000 0.996
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000      0.988 0.000 0.000 1.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000      0.994 1.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000      0.994 1.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0000      0.994 0.000 1.000 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     2  0.0000      0.994 0.000 1.000 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0000      0.994 1.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2     2  0.0000      0.994 0.000 1.000 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.0000      0.994 0.000 1.000 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000      0.994 1.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0000      0.994 0.000 1.000 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000      0.988 0.000 0.000 1.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0000      0.994 0.000 1.000 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     2  0.0000      0.994 0.000 1.000 0.000
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.0000      0.988 0.000 0.000 1.000
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000      0.988 0.000 0.000 1.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.0000      0.994 0.000 1.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.0000      0.994 0.000 1.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.0000      0.994 0.000 1.000 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0000      0.988 0.000 0.000 1.000
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0000      0.994 0.000 1.000 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0000      0.994 0.000 1.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0000      0.994 0.000 1.000 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.0000      0.994 0.000 1.000 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0000      0.994 0.000 1.000 0.000
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0000      0.994 0.000 1.000 0.000
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000      0.988 0.000 0.000 1.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.0000      0.994 0.000 1.000 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.0000      0.994 0.000 1.000 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.0000      0.994 0.000 1.000 0.000
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.6008      0.405 0.372 0.000 0.628
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000      0.988 0.000 0.000 1.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0000      0.994 0.000 1.000 0.000
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      0.988 0.000 0.000 1.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000      0.988 0.000 0.000 1.000

show/hide code output

cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#>                                      class entropy silhouette    p1    p2    p3    p4
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.1716     0.9280 0.000 0.936 0.000 0.064
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0188     0.9745 0.000 0.000 0.996 0.004
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.7686     0.0803 0.436 0.000 0.336 0.228
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0000     0.9254 0.000 1.000 0.000 0.000
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0469     0.9717 0.000 0.000 0.988 0.012
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.2216     0.8503 0.000 0.092 0.000 0.908
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.0000     0.9749 0.000 0.000 1.000 0.000
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.1118     0.9380 0.964 0.000 0.000 0.036
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.0000     0.9749 0.000 0.000 1.000 0.000
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0000     0.9749 0.000 0.000 1.000 0.000
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.1118     0.9303 0.000 0.964 0.000 0.036
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.0188     0.9244 0.000 0.996 0.000 0.004
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.0000     0.9254 0.000 1.000 0.000 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.2011     0.9236 0.000 0.920 0.000 0.080
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0707     0.9187 0.000 0.980 0.000 0.020
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.2216     0.9183 0.000 0.908 0.000 0.092
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0817     0.9170 0.000 0.976 0.000 0.024
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.1716     0.9280 0.000 0.936 0.000 0.064
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.2216     0.9211 0.000 0.908 0.000 0.092
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0469     0.9218 0.000 0.988 0.000 0.012
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.3688     0.6918 0.792 0.000 0.208 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.9749 0.000 0.000 1.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0592     0.9203 0.000 0.984 0.000 0.016
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.1637     0.9288 0.000 0.940 0.000 0.060
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0336     0.9736 0.000 0.000 0.992 0.008
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.0000     0.9749 0.000 0.000 1.000 0.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.2399     0.8277 0.000 0.048 0.032 0.920
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0336     0.9736 0.000 0.000 0.992 0.008
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.0000     0.9749 0.000 0.000 1.000 0.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0336     0.9736 0.000 0.000 0.992 0.008
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0921     0.9146 0.000 0.972 0.000 0.028
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.1716     0.8502 0.000 0.064 0.000 0.936
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.2081     0.9220 0.000 0.916 0.000 0.084
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.0000     0.9749 0.000 0.000 1.000 0.000
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.2224     0.8293 0.032 0.040 0.000 0.928
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.4277     0.6386 0.000 0.280 0.000 0.720
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0336     0.9736 0.000 0.000 0.992 0.008
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.0000     0.9749 0.000 0.000 1.000 0.000
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.2530     0.9063 0.000 0.888 0.000 0.112
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.1940     0.8535 0.000 0.076 0.000 0.924
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.9749 0.000 0.000 1.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.0817     0.9170 0.000 0.976 0.000 0.024
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0921     0.9146 0.000 0.972 0.000 0.028
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.0336     0.9273 0.000 0.992 0.000 0.008
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.2530     0.9064 0.000 0.888 0.000 0.112
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0469     0.9717 0.000 0.000 0.988 0.012
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.2589     0.9034 0.000 0.884 0.000 0.116
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.2011     0.8532 0.000 0.080 0.000 0.920
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0921     0.9146 0.000 0.972 0.000 0.028
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.2704     0.8974 0.000 0.876 0.000 0.124
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.4961     0.2383 0.000 0.552 0.000 0.448
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.1867     0.9264 0.000 0.928 0.000 0.072
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.2868     0.8873 0.000 0.864 0.000 0.136
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.0921     0.9146 0.000 0.972 0.000 0.028
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.9749 0.000 0.000 1.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0469     0.9717 0.000 0.000 0.988 0.012
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     4  0.4304     0.5029 0.284 0.000 0.000 0.716
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.3123     0.8070 0.000 0.156 0.000 0.844
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0336     0.9736 0.000 0.000 0.992 0.008
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0336     0.9736 0.000 0.000 0.992 0.008
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0817     0.9170 0.000 0.976 0.000 0.024
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0592     0.9203 0.000 0.984 0.000 0.016
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0000     0.9749 0.000 0.000 1.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.0817     0.9170 0.000 0.976 0.000 0.024
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     4  0.5212     0.1792 0.008 0.000 0.420 0.572
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.1022     0.9302 0.000 0.968 0.000 0.032
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000     0.9749 0.000 0.000 1.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     4  0.3764     0.6099 0.216 0.000 0.000 0.784
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.4356     0.6612 0.000 0.708 0.000 0.292
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0817     0.9295 0.000 0.976 0.000 0.024
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.2081     0.9220 0.000 0.916 0.000 0.084
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0188     0.9665 0.996 0.000 0.000 0.004
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.2345     0.9138 0.000 0.900 0.000 0.100
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0188     0.9745 0.000 0.000 0.996 0.004
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.1022     0.9302 0.000 0.968 0.000 0.032
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.1118     0.9093 0.000 0.964 0.000 0.036
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.1940     0.8535 0.000 0.076 0.000 0.924
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.9749 0.000 0.000 1.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.0000     0.9254 0.000 1.000 0.000 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.3356     0.7776 0.824 0.000 0.000 0.176
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.1940     0.9250 0.000 0.924 0.000 0.076
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.1792     0.9274 0.000 0.932 0.000 0.068
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.4134     0.6216 0.260 0.000 0.740 0.000
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.2530     0.9063 0.000 0.888 0.000 0.112
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0188     0.9265 0.000 0.996 0.000 0.004
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0336     0.9736 0.000 0.000 0.992 0.008
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0188     0.9265 0.000 0.996 0.000 0.004
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.1389     0.9299 0.000 0.952 0.000 0.048
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.2081     0.9220 0.000 0.916 0.000 0.084
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0469     0.9717 0.000 0.000 0.988 0.012
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.2868     0.8873 0.000 0.864 0.000 0.136
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0188     0.9745 0.000 0.000 0.996 0.004
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.0000     0.9749 0.000 0.000 1.000 0.000
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.0672     0.9639 0.008 0.000 0.984 0.008
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0188     0.9745 0.000 0.000 0.996 0.004
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.1637     0.9287 0.000 0.940 0.000 0.060
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.3837     0.7313 0.000 0.224 0.000 0.776
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0188     0.9665 0.996 0.000 0.000 0.004
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.4134     0.6766 0.000 0.260 0.000 0.740
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.2011     0.9236 0.000 0.920 0.000 0.080
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0000     0.9696 1.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.1792     0.9272 0.000 0.932 0.000 0.068
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.0000     0.9749 0.000 0.000 1.000 0.000
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.0921     0.9146 0.000 0.972 0.000 0.028
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.1716     0.8502 0.000 0.064 0.000 0.936
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.0376     0.9725 0.004 0.000 0.992 0.004
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.0000     0.9749 0.000 0.000 1.000 0.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.3726     0.7967 0.000 0.788 0.000 0.212
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.1557     0.9292 0.000 0.944 0.000 0.056
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.1792     0.9272 0.000 0.932 0.000 0.068
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0188     0.9745 0.000 0.000 0.996 0.004
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0817     0.9170 0.000 0.976 0.000 0.024
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.1022     0.9302 0.000 0.968 0.000 0.032
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.0707     0.9189 0.000 0.980 0.000 0.020
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.2704     0.8974 0.000 0.876 0.000 0.124
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.1022     0.9121 0.000 0.968 0.000 0.032
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0921     0.9146 0.000 0.972 0.000 0.028
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0000     0.9749 0.000 0.000 1.000 0.000
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.2814     0.8929 0.000 0.868 0.000 0.132
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.3764     0.7910 0.000 0.784 0.000 0.216
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.2081     0.9220 0.000 0.916 0.000 0.084
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.4907     0.2620 0.420 0.000 0.580 0.000
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0000     0.9749 0.000 0.000 1.000 0.000
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.1022     0.9123 0.000 0.968 0.000 0.032
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0336     0.9736 0.000 0.000 0.992 0.008
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.0000     0.9749 0.000 0.000 1.000 0.000

show/hide code output

cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#>                                      class entropy silhouette    p1    p2    p3    p4 p5
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0000     0.9694 1.000 0.000 0.000 0.000 NA
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0566     0.8940 0.000 0.984 0.000 0.012 NA
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0963     0.8726 0.000 0.000 0.964 0.000 NA
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0000     0.9694 1.000 0.000 0.000 0.000 NA
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     3  0.8307    -0.0676 0.244 0.000 0.332 0.292 NA
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.0865     0.8960 0.000 0.972 0.000 0.004 NA
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0162     0.8762 0.000 0.000 0.996 0.000 NA
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.4638     0.6178 0.000 0.324 0.000 0.648 NA
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.3003     0.8092 0.000 0.000 0.812 0.000 NA
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0798     0.9577 0.976 0.000 0.000 0.016 NA
#> 12078907-435A-46C9-96C1-24E71BF4602D     3  0.4030     0.6994 0.000 0.000 0.648 0.000 NA
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0703     0.8748 0.000 0.000 0.976 0.000 NA
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.1043     0.8873 0.000 0.960 0.000 0.000 NA
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0162     0.9691 0.996 0.000 0.000 0.000 NA
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.4588     0.4182 0.000 0.604 0.000 0.016 NA
#> ABB04648-2D62-4E34-9003-4458BF84318D     1  0.0404     0.9679 0.988 0.000 0.000 0.000 NA
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F     1  0.0404     0.9679 0.988 0.000 0.000 0.000 NA
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59     2  0.4003     0.6013 0.000 0.704 0.000 0.008 NA
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683     2  0.0510     0.8924 0.000 0.984 0.000 0.016 NA
#> FA31586E-9068-4E53-82EF-6B5339FF720D     2  0.0912     0.8939 0.000 0.972 0.000 0.016 NA
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B     2  0.0510     0.8924 0.000 0.984 0.000 0.016 NA
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F     2  0.0566     0.8947 0.000 0.984 0.000 0.012 NA
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE     2  0.3055     0.8065 0.000 0.840 0.000 0.016 NA
#> 667C5809-4A62-4344-9854-CE5703C99FDA     2  0.6386    -0.0206 0.000 0.492 0.000 0.320 NA
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145     2  0.0693     0.8955 0.000 0.980 0.000 0.008 NA
#> 00B1B6C5-C4C1-4248-8879-F30727137391     1  0.3636     0.5943 0.728 0.000 0.272 0.000 NA
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3     3  0.0000     0.8761 0.000 0.000 1.000 0.000 NA
#> 75565A38-EC23-4052-8D31-903C601F64D5     2  0.0566     0.8947 0.000 0.984 0.000 0.012 NA
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86     1  0.0000     0.9694 1.000 0.000 0.000 0.000 NA
#> C01F4272-D148-454E-A2FA-3DF281B23C91     2  0.0807     0.8932 0.000 0.976 0.000 0.012 NA
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC     3  0.0000     0.8761 0.000 0.000 1.000 0.000 NA
#> E6F801F4-9289-4623-B7D9-60CA56C71683     3  0.4668     0.6797 0.024 0.000 0.624 0.000 NA
#> B644962A-DEFE-4169-A39E-EF2141F5125A     4  0.3914     0.6074 0.000 0.000 0.048 0.788 NA
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1     3  0.0000     0.8761 0.000 0.000 1.000 0.000 NA
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5     3  0.4497     0.6865 0.016 0.000 0.632 0.000 NA
#> 04156B26-81B5-4E17-A14A-819800ABFE36     1  0.0290     0.9686 0.992 0.000 0.000 0.000 NA
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A     3  0.0000     0.8761 0.000 0.000 1.000 0.000 NA
#> 589ACA26-273D-491F-836B-A604BE63947B     2  0.0451     0.8951 0.000 0.988 0.000 0.008 NA
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5     4  0.2953     0.6493 0.000 0.012 0.000 0.844 NA
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C     2  0.0510     0.8924 0.000 0.984 0.000 0.016 NA
#> 8440581E-43B1-4994-B2D8-5934F56F40B5     1  0.0000     0.9694 1.000 0.000 0.000 0.000 NA
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7     3  0.1197     0.8698 0.000 0.000 0.952 0.000 NA
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0     4  0.2452     0.7140 0.004 0.084 0.000 0.896 NA
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C     1  0.0000     0.9694 1.000 0.000 0.000 0.000 NA
#> C3087790-7575-4662-A7DC-B32808B9A775     4  0.4803     0.4113 0.000 0.444 0.000 0.536 NA
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2     3  0.0000     0.8761 0.000 0.000 1.000 0.000 NA
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B     3  0.3074     0.8048 0.000 0.000 0.804 0.000 NA
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8     1  0.0162     0.9682 0.996 0.000 0.000 0.000 NA
#> FE85B6AF-270A-41C7-BA60-7B83782CA362     2  0.1041     0.8869 0.000 0.964 0.000 0.032 NA
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB     4  0.2411     0.7246 0.000 0.108 0.000 0.884 NA
#> 1CCE57AC-C487-435C-9334-3C1EEB920716     3  0.0000     0.8761 0.000 0.000 1.000 0.000 NA
#> 15D9DE0E-9A17-4679-B63D-071650CCD356     2  0.1522     0.8869 0.000 0.944 0.000 0.012 NA
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083     2  0.0566     0.8947 0.000 0.984 0.000 0.012 NA
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834     1  0.0000     0.9694 1.000 0.000 0.000 0.000 NA
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3     2  0.2930     0.7822 0.000 0.832 0.000 0.004 NA
#> 71236E3D-863A-4E82-BB99-F91157E39CF9     2  0.1502     0.8761 0.000 0.940 0.000 0.056 NA
#> 54DCC779-B458-4805-8912-4501C7A7E95C     3  0.0992     0.8737 0.000 0.000 0.968 0.008 NA
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645     2  0.1877     0.8632 0.000 0.924 0.000 0.064 NA
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB     4  0.4726     0.5013 0.000 0.400 0.000 0.580 NA
#> 95118D2E-F239-4403-A19C-5F8BA2B25803     2  0.0912     0.8940 0.000 0.972 0.000 0.012 NA
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3     1  0.0000     0.9694 1.000 0.000 0.000 0.000 NA
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E     2  0.3061     0.7815 0.000 0.844 0.000 0.136 NA
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB     1  0.0404     0.9679 0.988 0.000 0.000 0.000 NA
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE     2  0.4626     0.2451 0.000 0.616 0.000 0.364 NA
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6     1  0.0404     0.9679 0.988 0.000 0.000 0.000 NA
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB     2  0.0671     0.8924 0.000 0.980 0.000 0.016 NA
#> 1339CB34-B996-470A-9710-0649DD05D18A     2  0.2248     0.8465 0.000 0.900 0.000 0.088 NA
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126     2  0.2771     0.8149 0.000 0.860 0.000 0.012 NA
#> 7559E197-0527-40D8-A982-C37B35A9A902     3  0.0000     0.8761 0.000 0.000 1.000 0.000 NA
#> 4C120336-16A5-42B4-B069-48E11F1F746D     3  0.0794     0.8739 0.000 0.000 0.972 0.000 NA
#> 44C04683-DE81-45AB-9695-4BA64CE73155     1  0.0404     0.9679 0.988 0.000 0.000 0.000 NA
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE     1  0.5320     0.2097 0.524 0.000 0.000 0.424 NA
#> A4867173-D9ED-48ED-974D-D33EE9076ECA     1  0.0000     0.9694 1.000 0.000 0.000 0.000 NA
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF     4  0.5327     0.6447 0.000 0.216 0.000 0.664 NA
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0     3  0.0000     0.8761 0.000 0.000 1.000 0.000 NA
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8     3  0.0000     0.8761 0.000 0.000 1.000 0.000 NA
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8     2  0.0404     0.8949 0.000 0.988 0.000 0.012 NA
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4     2  0.0404     0.8949 0.000 0.988 0.000 0.012 NA
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D     1  0.0000     0.9694 1.000 0.000 0.000 0.000 NA
#> E61A5740-7C26-4730-9610-A3C710098B92     3  0.0290     0.8760 0.000 0.000 0.992 0.000 NA
#> 146CCB02-762A-4F38-9686-03E1C20E07C9     2  0.2006     0.8669 0.000 0.916 0.000 0.012 NA
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB     3  0.6180     0.0801 0.000 0.000 0.460 0.404 NA
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569     2  0.1043     0.8873 0.000 0.960 0.000 0.000 NA
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1     3  0.0000     0.8761 0.000 0.000 1.000 0.000 NA
#> 5D916BB7-6B38-414E-875E-2497C91B209A     1  0.0404     0.9679 0.988 0.000 0.000 0.000 NA
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95     4  0.5237     0.3332 0.300 0.000 0.000 0.628 NA
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7     2  0.3635     0.6113 0.000 0.748 0.000 0.248 NA
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D     2  0.0404     0.8951 0.000 0.988 0.000 0.000 NA
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0     2  0.0671     0.8924 0.000 0.980 0.000 0.016 NA
#> A5613D6C-B394-4619-AA09-022348BD0B7C     1  0.0162     0.9682 0.996 0.000 0.000 0.000 NA
#> 59AF492E-C164-49FC-A40C-6607ED7E108C     2  0.0510     0.8924 0.000 0.984 0.000 0.016 NA
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A     3  0.0000     0.8761 0.000 0.000 1.000 0.000 NA
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504     2  0.0404     0.8955 0.000 0.988 0.000 0.000 NA
#> DD36DD53-C576-44EF-A68B-E009B37A2385     2  0.2624     0.8265 0.000 0.872 0.000 0.012 NA
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8     4  0.2773     0.7225 0.000 0.164 0.000 0.836 NA
#> CF882451-7864-4A14-8893-D9F3D1B79379     1  0.0000     0.9694 1.000 0.000 0.000 0.000 NA
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6     1  0.0404     0.9679 0.988 0.000 0.000 0.000 NA
#> 10161FA0-E389-4D98-B854-098AF908C898     3  0.0000     0.8761 0.000 0.000 1.000 0.000 NA
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB     2  0.1124     0.8907 0.000 0.960 0.000 0.004 NA
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24     1  0.1522     0.9294 0.944 0.000 0.000 0.044 NA
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E     2  0.2144     0.8701 0.000 0.912 0.000 0.020 NA
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478     1  0.1544     0.9134 0.932 0.000 0.000 0.000 NA
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6     2  0.2351     0.8569 0.000 0.896 0.000 0.016 NA
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9     3  0.3895     0.5569 0.320 0.000 0.680 0.000 NA
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB     1  0.0404     0.9679 0.988 0.000 0.000 0.000 NA
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16     2  0.2824     0.8053 0.000 0.864 0.000 0.116 NA
#> C06A7A87-28A2-4851-A743-583F729D07D3     1  0.0000     0.9694 1.000 0.000 0.000 0.000 NA
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887     2  0.0162     0.8951 0.000 0.996 0.000 0.004 NA
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F     1  0.0404     0.9679 0.988 0.000 0.000 0.000 NA
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5     3  0.0162     0.8750 0.000 0.000 0.996 0.004 NA
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00     2  0.0693     0.8949 0.000 0.980 0.000 0.008 NA
#> 692A3312-2027-472B-A28C-C661A0539EB5     2  0.1216     0.8872 0.000 0.960 0.000 0.020 NA
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C     1  0.0000     0.9694 1.000 0.000 0.000 0.000 NA
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D     2  0.0510     0.8924 0.000 0.984 0.000 0.016 NA
#> 86689648-2C4A-456F-A551-B9731400846C     3  0.0162     0.8750 0.000 0.000 0.996 0.000 NA
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A     1  0.0000     0.9694 1.000 0.000 0.000 0.000 NA
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1     2  0.3039     0.7651 0.000 0.836 0.000 0.152 NA
#> BFB33809-F185-4835-8329-AE53FDEE847C     3  0.0880     0.8733 0.000 0.000 0.968 0.000 NA
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89     3  0.3816     0.7354 0.000 0.000 0.696 0.000 NA
#> 852F1EDF-6046-462C-820F-9782410E1845     1  0.0404     0.9679 0.988 0.000 0.000 0.000 NA
#> EF68CF6E-F46D-477A-B125-153DDE949C07     1  0.0000     0.9694 1.000 0.000 0.000 0.000 NA
#> B18217F7-303C-4104-848E-A354DADE72BF     3  0.4749     0.6761 0.020 0.000 0.620 0.004 NA
#> B9C99F02-10F1-44A6-B9FE-716955D00521     3  0.0000     0.8761 0.000 0.000 1.000 0.000 NA
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2     1  0.0162     0.9677 0.996 0.000 0.000 0.000 NA
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639     1  0.0290     0.9686 0.992 0.000 0.000 0.000 NA
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF     2  0.0451     0.8949 0.000 0.988 0.000 0.008 NA
#> 8BC1B435-3C47-48D7-A355-9614C75F552B     4  0.5175     0.3979 0.000 0.464 0.000 0.496 NA
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8     1  0.0162     0.9682 0.996 0.000 0.000 0.000 NA
#> F83A9753-D4FA-487F-942E-C804FE616DA2     4  0.4726     0.4976 0.000 0.400 0.000 0.580 NA
#> 16A70057-AF47-4934-992E-3E9CF6E74684     2  0.3368     0.7887 0.000 0.820 0.000 0.024 NA
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3     1  0.0404     0.9679 0.988 0.000 0.000 0.000 NA
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB     2  0.0510     0.8924 0.000 0.984 0.000 0.016 NA
#> 06E41414-2270-4C59-8CFF-4FB9A410393C     3  0.2230     0.8442 0.000 0.000 0.884 0.000 NA
#> 879DC385-8E19-410C-8C04-0B7015FB7289     2  0.1281     0.8872 0.000 0.956 0.000 0.012 NA
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08     4  0.3106     0.6573 0.000 0.020 0.000 0.840 NA
#> 864194B9-3525-439D-84A4-EA257300335C     3  0.2377     0.8398 0.000 0.000 0.872 0.000 NA
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345     3  0.4030     0.6994 0.000 0.000 0.648 0.000 NA
#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.3789     0.6649 0.000 0.768 0.000 0.212 NA
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9     2  0.1106     0.8933 0.000 0.964 0.000 0.012 NA
#> 46E513F2-B915-433B-8659-6A4BCA3A0579     2  0.2773     0.8099 0.000 0.868 0.000 0.112 NA
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0404     0.8757 0.000 0.000 0.988 0.000 NA
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0693     0.8949 0.000 0.980 0.000 0.012 NA
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.0162     0.8949 0.000 0.996 0.000 0.000 NA
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.3596     0.7151 0.000 0.776 0.000 0.012 NA
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.2249     0.8386 0.000 0.896 0.000 0.096 NA
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.0566     0.8947 0.000 0.984 0.000 0.012 NA
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0807     0.8936 0.000 0.976 0.000 0.012 NA
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0963     0.8726 0.000 0.000 0.964 0.000 NA
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.1124     0.8867 0.000 0.960 0.000 0.036 NA
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.3630     0.6829 0.000 0.780 0.000 0.204 NA
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.4503     0.6133 0.000 0.696 0.000 0.036 NA
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     3  0.6615     0.2255 0.376 0.000 0.408 0.000 NA
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0880     0.8735 0.000 0.000 0.968 0.000 NA
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0693     0.8945 0.000 0.980 0.000 0.012 NA
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000     0.8761 0.000 0.000 1.000 0.000 NA
#> 5F1797CC-C35C-44D4-867B-9824FE037552     3  0.3999     0.7058 0.000 0.000 0.656 0.000 NA

show/hide code output

cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#>                                      class entropy silhouette    p1    p2    p3    p4 p5    p6
#> 1599FCA7-5350-4200-9B77-EC93BB5D91C2     1  0.0146      0.937 0.996 0.000 0.000 0.000 NA 0.004
#> 11C93F5A-2187-484A-805D-BB696C1B9032     2  0.0603      0.825 0.000 0.980 0.000 0.004 NA 0.000
#> CA32E320-D60B-4B17-88F3-B31325FA5EDA     3  0.0713      0.910 0.000 0.000 0.972 0.000 NA 0.028
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048     1  0.0260      0.936 0.992 0.000 0.000 0.000 NA 0.008
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C     1  0.7653     -0.115 0.368 0.000 0.200 0.204 NA 0.004
#> 3D71A939-4D61-4178-91C8-9B5004B14064     2  0.3017      0.811 0.000 0.860 0.000 0.060 NA 0.064
#> BF2014FC-8FED-494C-B6FB-8953C106409A     3  0.0146      0.919 0.000 0.000 0.996 0.000 NA 0.000
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A     4  0.4948     -0.070 0.000 0.468 0.000 0.468 NA 0.000
#> 211FD575-40D6-4E44-818F-3A382F4634DA     3  0.3868     -0.105 0.000 0.000 0.504 0.000 NA 0.496
#> 2794603E-F476-4100-A7BB-393F1BAB83AA     1  0.0922      0.924 0.968 0.000 0.000 0.004 NA 0.004
#> 12078907-435A-46C9-96C1-24E71BF4602D     6  0.2340      0.839 0.000 0.000 0.148 0.000 NA 0.852
#> 8670C657-F6AB-4767-9278-42E64C614370     3  0.0713      0.910 0.000 0.000 0.972 0.000 NA 0.028
#> 1709294C-7194-493D-AF5C-574927F57C0C     2  0.0865      0.822 0.000 0.964 0.000 0.000 NA 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058     1  0.0146      0.937 0.996 0.000 0.000 0.000 NA 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0     2  0.3930      0.328 0.000 0.576 0.000 0.000 NA 0.004
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#> FCDDC169-7863-440B-82A6-6A13A4B827B9     2  0.4230      0.488 0.000 0.612 0.000 0.364 NA 0.000
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#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D     3  0.0146      0.920 0.000 0.000 0.996 0.000 NA 0.004
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1     2  0.0603      0.829 0.000 0.980 0.000 0.016 NA 0.004
#> 4C96C968-6B8F-4B81-B141-4081F338F333     2  0.1531      0.825 0.000 0.928 0.000 0.068 NA 0.004
#> 4022B5D9-8B67-45C3-867B-A72129500F86     2  0.3448      0.591 0.000 0.716 0.000 0.000 NA 0.004
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA     2  0.2723      0.748 0.000 0.856 0.000 0.120 NA 0.004
#> 36D1E390-7DDA-4722-8F72-87720D368A6B     2  0.1151      0.829 0.000 0.956 0.000 0.032 NA 0.012
#> 633D24E2-63CE-499F-A448-765AAAEF1977     2  0.0291      0.828 0.000 0.992 0.000 0.004 NA 0.004
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0     3  0.0865      0.904 0.000 0.000 0.964 0.000 NA 0.036
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5     2  0.1320      0.825 0.000 0.948 0.000 0.036 NA 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2     2  0.3899      0.514 0.000 0.628 0.000 0.364 NA 0.000
#> 284795FA-F49C-4065-9EDC-362E02B88C8E     2  0.4214      0.497 0.000 0.652 0.000 0.024 NA 0.004
#> E5437C83-CA9A-4241-84EE-8BCE97192D67     6  0.5432      0.255 0.400 0.000 0.120 0.000 NA 0.480
#> 1BE1FA76-1939-4C83-8B87-BE91481AF483     3  0.0632      0.912 0.000 0.000 0.976 0.000 NA 0.024
#> E31E2BF0-4F73-49E8-AEC2-980206DCEBC9     2  0.0993      0.829 0.000 0.964 0.000 0.024 NA 0.012
#> 6ED5E961-E559-4459-937E-D0F03650620F     3  0.0000      0.921 0.000 0.000 1.000 0.000 NA 0.000
#> 5F1797CC-C35C-44D4-867B-9824FE037552     6  0.2941      0.771 0.000 0.000 0.220 0.000 NA 0.780

Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.

consensus_heatmap(res, k = 2)

plot of chunk tab-ATC-NMF-consensus-heatmap-1

consensus_heatmap(res, k = 3)

plot of chunk tab-ATC-NMF-consensus-heatmap-2

consensus_heatmap(res, k = 4)

plot of chunk tab-ATC-NMF-consensus-heatmap-3

consensus_heatmap(res, k = 5)

plot of chunk tab-ATC-NMF-consensus-heatmap-4

consensus_heatmap(res, k = 6)

plot of chunk tab-ATC-NMF-consensus-heatmap-5

Heatmaps for the membership of samples in all partitions to see how consistent they are:

membership_heatmap(res, k = 2)

plot of chunk tab-ATC-NMF-membership-heatmap-1

membership_heatmap(res, k = 3)

plot of chunk tab-ATC-NMF-membership-heatmap-2

membership_heatmap(res, k = 4)

plot of chunk tab-ATC-NMF-membership-heatmap-3

membership_heatmap(res, k = 5)

plot of chunk tab-ATC-NMF-membership-heatmap-4

membership_heatmap(res, k = 6)

plot of chunk tab-ATC-NMF-membership-heatmap-5

As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.

Signature heatmaps where rows are scaled:

get_signatures(res, k = 2)

plot of chunk tab-ATC-NMF-get-signatures-1

get_signatures(res, k = 3)

plot of chunk tab-ATC-NMF-get-signatures-2

get_signatures(res, k = 4)

plot of chunk tab-ATC-NMF-get-signatures-3

get_signatures(res, k = 5)

plot of chunk tab-ATC-NMF-get-signatures-4

get_signatures(res, k = 6)

plot of chunk tab-ATC-NMF-get-signatures-5

Signature heatmaps where rows are not scaled:

get_signatures(res, k = 2, scale_rows = FALSE)

plot of chunk tab-ATC-NMF-get-signatures-no-scale-1

get_signatures(res, k = 3, scale_rows = FALSE)

plot of chunk tab-ATC-NMF-get-signatures-no-scale-2

get_signatures(res, k = 4, scale_rows = FALSE)

plot of chunk tab-ATC-NMF-get-signatures-no-scale-3

get_signatures(res, k = 5, scale_rows = FALSE)

plot of chunk tab-ATC-NMF-get-signatures-no-scale-4

get_signatures(res, k = 6, scale_rows = FALSE)

plot of chunk tab-ATC-NMF-get-signatures-no-scale-5

Compare the overlap of signatures from different k:

compare_signatures(res)

plot of chunk ATC-NMF-signature_compare

get_signature() returns a data frame invisibly. TO get the list of signatures, the function call should be assigned to a variable explicitly. In following code, if plot argument is set to FALSE, no heatmap is plotted while only the differential analysis is performed.

# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)

An example of the output of tb is:

#>   which_row         fdr    mean_1    mean_2 scaled_mean_1 scaled_mean_2 km
#> 1        38 0.042760348  8.373488  9.131774    -0.5533452     0.5164555  1
#> 2        40 0.018707592  7.106213  8.469186    -0.6173731     0.5762149  1
#> 3        55 0.019134737 10.221463 11.207825    -0.6159697     0.5749050  1
#> 4        59 0.006059896  5.921854  7.869574    -0.6899429     0.6439467  1
#> 5        60 0.018055526  8.928898 10.211722    -0.6204761     0.5791110  1
#> 6        98 0.009384629 15.714769 14.887706     0.6635654    -0.6193277  2
...

The columns in tb are:

  1. which_row: row indices corresponding to the input matrix.
  2. fdr: FDR for the differential test.
  3. mean_x: The mean value in group x.
  4. scaled_mean_x: The mean value in group x after rows are scaled.
  5. km: Row groups if k-means clustering is applied to rows.

UMAP plot which shows how samples are separated.

dimension_reduction(res, k = 2, method = "UMAP")

plot of chunk tab-ATC-NMF-dimension-reduction-1

dimension_reduction(res, k = 3, method = "UMAP")

plot of chunk tab-ATC-NMF-dimension-reduction-2

dimension_reduction(res, k = 4, method = "UMAP")

plot of chunk tab-ATC-NMF-dimension-reduction-3

dimension_reduction(res, k = 5, method = "UMAP")

plot of chunk tab-ATC-NMF-dimension-reduction-4

dimension_reduction(res, k = 6, method = "UMAP")

plot of chunk tab-ATC-NMF-dimension-reduction-5

Following heatmap shows how subgroups are split when increasing k:

collect_classes(res)

plot of chunk ATC-NMF-collect-classes

If matrix rows can be associated to genes, consider to use functional_enrichment(res, ...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.

Session info

sessionInfo()
#> R version 3.6.0 (2019-04-26)
#> Platform: x86_64-pc-linux-gnu (64-bit)
#> Running under: CentOS Linux 7 (Core)
#> 
#> Matrix products: default
#> BLAS:   /usr/lib64/libblas.so.3.4.2
#> LAPACK: /usr/lib64/liblapack.so.3.4.2
#> 
#> locale:
#>  [1] LC_CTYPE=en_GB.UTF-8       LC_NUMERIC=C               LC_TIME=en_GB.UTF-8       
#>  [4] LC_COLLATE=en_GB.UTF-8     LC_MONETARY=en_GB.UTF-8    LC_MESSAGES=en_GB.UTF-8   
#>  [7] LC_PAPER=en_GB.UTF-8       LC_NAME=C                  LC_ADDRESS=C              
#> [10] LC_TELEPHONE=C             LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C       
#> 
#> attached base packages:
#> [1] grid      stats     graphics  grDevices utils     datasets  methods   base     
#> 
#> other attached packages:
#> [1] genefilter_1.66.0    ComplexHeatmap_2.3.1 markdown_1.1         knitr_1.26          
#> [5] GetoptLong_0.1.7     cola_1.3.2          
#> 
#> loaded via a namespace (and not attached):
#>  [1] circlize_0.4.8       shape_1.4.4          xfun_0.11            slam_0.1-46         
#>  [5] lattice_0.20-38      splines_3.6.0        colorspace_1.4-1     vctrs_0.2.0         
#>  [9] stats4_3.6.0         blob_1.2.0           XML_3.98-1.20        survival_2.44-1.1   
#> [13] rlang_0.4.2          pillar_1.4.2         DBI_1.0.0            BiocGenerics_0.30.0 
#> [17] bit64_0.9-7          RColorBrewer_1.1-2   matrixStats_0.55.0   stringr_1.4.0       
#> [21] GlobalOptions_0.1.1  evaluate_0.14        memoise_1.1.0        Biobase_2.44.0      
#> [25] IRanges_2.18.3       parallel_3.6.0       AnnotationDbi_1.46.1 highr_0.8           
#> [29] Rcpp_1.0.3           xtable_1.8-4         backports_1.1.5      S4Vectors_0.22.1    
#> [33] annotate_1.62.0      skmeans_0.2-11       bit_1.1-14           microbenchmark_1.4-7
#> [37] brew_1.0-6           impute_1.58.0        rjson_0.2.20         png_0.1-7           
#> [41] digest_0.6.23        stringi_1.4.3        polyclip_1.10-0      clue_0.3-57         
#> [45] tools_3.6.0          bitops_1.0-6         magrittr_1.5         eulerr_6.0.0        
#> [49] RCurl_1.95-4.12      RSQLite_2.1.4        tibble_2.1.3         cluster_2.1.0       
#> [53] crayon_1.3.4         pkgconfig_2.0.3      zeallot_0.1.0        Matrix_1.2-17       
#> [57] xml2_1.2.2           httr_1.4.1           R6_2.4.1             mclust_5.4.5        
#> [61] compiler_3.6.0