Date: 2019-12-26 01:40:28 CET, cola version: 1.3.2
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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
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)
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
Cumulative distribution function curves of consensus matrix for all methods.
collect_plots(res_list, fun = plot_ecdf)
Consensus heatmaps for all methods. (What is a consensus heatmap?)
collect_plots(res_list, k = 2, fun = consensus_heatmap, mc.cores = 4)
collect_plots(res_list, k = 3, fun = consensus_heatmap, mc.cores = 4)
collect_plots(res_list, k = 4, fun = consensus_heatmap, mc.cores = 4)
collect_plots(res_list, k = 5, fun = consensus_heatmap, mc.cores = 4)
collect_plots(res_list, k = 6, fun = consensus_heatmap, mc.cores = 4)
Membership heatmaps for all methods. (What is a membership heatmap?)
collect_plots(res_list, k = 2, fun = membership_heatmap, mc.cores = 4)
collect_plots(res_list, k = 3, fun = membership_heatmap, mc.cores = 4)
collect_plots(res_list, k = 4, fun = membership_heatmap, mc.cores = 4)
collect_plots(res_list, k = 5, fun = membership_heatmap, mc.cores = 4)
collect_plots(res_list, k = 6, fun = membership_heatmap, mc.cores = 4)
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)
collect_plots(res_list, k = 3, fun = get_signatures, mc.cores = 4)
collect_plots(res_list, k = 4, fun = get_signatures, mc.cores = 4)
collect_plots(res_list, k = 5, fun = get_signatures, mc.cores = 4)
collect_plots(res_list, k = 6, fun = get_signatures, mc.cores = 4)
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)
collect_stats(res_list, k = 3)
collect_stats(res_list, k = 4)
collect_stats(res_list, k = 5)
collect_stats(res_list, k = 6)
Collect partitions from all methods:
collect_classes(res_list, k = 2)
collect_classes(res_list, k = 3)
collect_classes(res_list, k = 4)
collect_classes(res_list, k = 5)
collect_classes(res_list, k = 6)
Overlap of top rows from different top-row methods:
top_rows_overlap(res_list, top_n = 1000, method = "euler")
top_rows_overlap(res_list, top_n = 2000, method = "euler")
top_rows_overlap(res_list, top_n = 3000, method = "euler")
top_rows_overlap(res_list, top_n = 4000, method = "euler")
top_rows_overlap(res_list, top_n = 5000, method = "euler")
Also visualize the correspondance of rankings between different top-row methods:
top_rows_overlap(res_list, top_n = 1000, method = "correspondance")
top_rows_overlap(res_list, top_n = 2000, method = "correspondance")
top_rows_overlap(res_list, top_n = 3000, method = "correspondance")
top_rows_overlap(res_list, top_n = 4000, method = "correspondance")
top_rows_overlap(res_list, top_n = 5000, method = "correspondance")
Heatmaps of the top rows:
top_rows_heatmap(res_list, top_n = 1000)
top_rows_heatmap(res_list, top_n = 2000)
top_rows_heatmap(res_list, top_n = 3000)
top_rows_heatmap(res_list, top_n = 4000)
top_rows_heatmap(res_list, top_n = 5000)
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
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
#> 2794603E-F476-4100-A7BB-393F1BAB83AA 4 0.4167 0.7568 0.368 0.000 0.000 0.612 0.020 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D 6 0.0146 0.9938 0.000 0.000 0.004 0.000 0.000 0.996
#> 8670C657-F6AB-4767-9278-42E64C614370 3 0.2136 0.9088 0.000 0.000 0.904 0.048 0.000 0.048
#> 1709294C-7194-493D-AF5C-574927F57C0C 5 0.2092 0.6128 0.000 0.124 0.000 0.000 0.876 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058 1 0.0000 0.9247 1.000 0.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0 5 0.1714 0.6413 0.000 0.092 0.000 0.000 0.908 0.000
#> ABB04648-2D62-4E34-9003-4458BF84318D 1 0.4253 -0.3733 0.524 0.000 0.000 0.460 0.016 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F 1 0.1267 0.9088 0.940 0.000 0.000 0.060 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59 5 0.1714 0.6413 0.000 0.092 0.000 0.000 0.908 0.000
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683 5 0.2048 0.6180 0.000 0.120 0.000 0.000 0.880 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D 2 0.3499 0.8691 0.000 0.680 0.000 0.000 0.320 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B 5 0.1910 0.6273 0.000 0.108 0.000 0.000 0.892 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F 2 0.3607 0.8679 0.000 0.652 0.000 0.000 0.348 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE 5 0.1714 0.6413 0.000 0.092 0.000 0.000 0.908 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA 5 0.4613 0.5552 0.000 0.128 0.000 0.180 0.692 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145 2 0.3620 0.8665 0.000 0.648 0.000 0.000 0.352 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391 3 0.4738 0.7143 0.132 0.000 0.728 0.108 0.000 0.032
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3 3 0.1007 0.9228 0.000 0.000 0.956 0.044 0.000 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5 2 0.3482 0.8687 0.000 0.684 0.000 0.000 0.316 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86 1 0.0458 0.9231 0.984 0.000 0.000 0.016 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91 2 0.4228 0.8134 0.000 0.588 0.000 0.020 0.392 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC 3 0.1267 0.9167 0.000 0.000 0.940 0.060 0.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683 6 0.0000 0.9985 0.000 0.000 0.000 0.000 0.000 1.000
#> B644962A-DEFE-4169-A39E-EF2141F5125A 5 0.4756 0.5374 0.000 0.128 0.000 0.200 0.672 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1 3 0.0405 0.9287 0.000 0.004 0.988 0.008 0.000 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5 6 0.0000 0.9985 0.000 0.000 0.000 0.000 0.000 1.000
#> 04156B26-81B5-4E17-A14A-819800ABFE36 1 0.0000 0.9247 1.000 0.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A 3 0.0508 0.9284 0.000 0.004 0.984 0.012 0.000 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B 2 0.3607 0.8679 0.000 0.652 0.000 0.000 0.348 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5 5 0.4756 0.5374 0.000 0.128 0.000 0.200 0.672 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C 5 0.1863 0.6310 0.000 0.104 0.000 0.000 0.896 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5 1 0.0000 0.9247 1.000 0.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7 3 0.2136 0.9088 0.000 0.000 0.904 0.048 0.000 0.048
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0 4 0.6106 0.0252 0.000 0.324 0.000 0.376 0.300 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C 1 0.1267 0.9088 0.940 0.000 0.000 0.060 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775 5 0.5373 0.4537 0.000 0.216 0.000 0.196 0.588 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2 3 0.0405 0.9287 0.000 0.004 0.988 0.008 0.000 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B 3 0.1625 0.9171 0.000 0.000 0.928 0.060 0.000 0.012
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8 1 0.0000 0.9247 1.000 0.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362 5 0.2048 0.6217 0.000 0.120 0.000 0.000 0.880 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB 5 0.5373 0.4537 0.000 0.216 0.000 0.196 0.588 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716 3 0.0405 0.9287 0.000 0.004 0.988 0.008 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356 2 0.4269 0.7850 0.000 0.568 0.000 0.020 0.412 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083 2 0.3482 0.8687 0.000 0.684 0.000 0.000 0.316 0.000
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834 1 0.1610 0.8810 0.916 0.000 0.000 0.084 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3 5 0.0790 0.6671 0.000 0.032 0.000 0.000 0.968 0.000
#> 71236E3D-863A-4E82-BB99-F91157E39CF9 5 0.0547 0.6696 0.000 0.020 0.000 0.000 0.980 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C 3 0.2095 0.9015 0.016 0.000 0.904 0.076 0.004 0.000
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645 5 0.4331 -0.5889 0.000 0.464 0.000 0.020 0.516 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB 5 0.3356 0.5613 0.000 0.140 0.000 0.052 0.808 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803 2 0.3482 0.8687 0.000 0.684 0.000 0.000 0.316 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3 1 0.0000 0.9247 1.000 0.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E 2 0.3490 0.6602 0.000 0.784 0.000 0.040 0.176 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB 1 0.0458 0.9231 0.984 0.000 0.000 0.016 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE 2 0.3523 0.6410 0.000 0.780 0.000 0.040 0.180 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6 1 0.0937 0.9153 0.960 0.000 0.000 0.040 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB 5 0.1584 0.6714 0.000 0.008 0.000 0.064 0.928 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A 5 0.1584 0.6714 0.000 0.008 0.000 0.064 0.928 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126 5 0.3101 0.3678 0.000 0.244 0.000 0.000 0.756 0.000
#> 7559E197-0527-40D8-A982-C37B35A9A902 3 0.0405 0.9287 0.000 0.004 0.988 0.008 0.000 0.000
#> 4C120336-16A5-42B4-B069-48E11F1F746D 3 0.0508 0.9284 0.000 0.004 0.984 0.012 0.000 0.000
#> 44C04683-DE81-45AB-9695-4BA64CE73155 1 0.0000 0.9247 1.000 0.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE 4 0.4167 0.7568 0.368 0.000 0.000 0.612 0.020 0.000
#> A4867173-D9ED-48ED-974D-D33EE9076ECA 1 0.0000 0.9247 1.000 0.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF 5 0.2658 0.6605 0.000 0.036 0.000 0.100 0.864 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0 3 0.0405 0.9287 0.000 0.004 0.988 0.008 0.000 0.000
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8 3 0.0405 0.9287 0.000 0.004 0.988 0.008 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8 2 0.3647 0.8629 0.000 0.640 0.000 0.000 0.360 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4 2 0.3482 0.8687 0.000 0.684 0.000 0.000 0.316 0.000
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D 1 0.1267 0.9088 0.940 0.000 0.000 0.060 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92 3 0.1007 0.9228 0.000 0.000 0.956 0.044 0.000 0.000
#> 146CCB02-762A-4F38-9686-03E1C20E07C9 2 0.3607 0.8677 0.000 0.652 0.000 0.000 0.348 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB 4 0.4006 0.7687 0.252 0.000 0.012 0.716 0.020 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569 5 0.4328 -0.5667 0.000 0.460 0.000 0.020 0.520 0.000
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1 3 0.1753 0.9097 0.000 0.000 0.912 0.084 0.000 0.004
#> 5D916BB7-6B38-414E-875E-2497C91B209A 1 0.1267 0.9088 0.940 0.000 0.000 0.060 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95 4 0.4167 0.7568 0.368 0.000 0.000 0.612 0.020 0.000
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7 5 0.5373 0.4537 0.000 0.216 0.000 0.196 0.588 0.000
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D 2 0.3765 0.8203 0.000 0.596 0.000 0.000 0.404 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0 5 0.1584 0.6714 0.000 0.008 0.000 0.064 0.928 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C 1 0.1633 0.8964 0.932 0.000 0.024 0.044 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C 5 0.1584 0.6714 0.000 0.008 0.000 0.064 0.928 0.000
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A 3 0.0405 0.9287 0.000 0.004 0.988 0.008 0.000 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504 5 0.0790 0.6671 0.000 0.032 0.000 0.000 0.968 0.000
#> DD36DD53-C576-44EF-A68B-E009B37A2385 2 0.3482 0.8687 0.000 0.684 0.000 0.000 0.316 0.000
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8 5 0.5373 0.4537 0.000 0.216 0.000 0.196 0.588 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379 1 0.0363 0.9240 0.988 0.000 0.000 0.012 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6 1 0.1556 0.8851 0.920 0.000 0.000 0.080 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898 3 0.0405 0.9287 0.000 0.004 0.988 0.008 0.000 0.000
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB 2 0.4333 0.6804 0.000 0.512 0.000 0.020 0.468 0.000
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24 4 0.4167 0.7568 0.368 0.000 0.000 0.612 0.020 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E 5 0.4200 0.6023 0.000 0.120 0.000 0.140 0.740 0.000
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478 1 0.1267 0.9088 0.940 0.000 0.000 0.060 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6 5 0.1765 0.6383 0.000 0.096 0.000 0.000 0.904 0.000
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9 3 0.4738 0.7143 0.132 0.000 0.728 0.108 0.000 0.032
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB 1 0.0937 0.9153 0.960 0.000 0.000 0.040 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16 2 0.3083 0.6663 0.000 0.828 0.000 0.040 0.132 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3 1 0.0000 0.9247 1.000 0.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887 5 0.1863 0.6310 0.000 0.104 0.000 0.000 0.896 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F 1 0.0000 0.9247 1.000 0.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5 3 0.2095 0.9015 0.016 0.000 0.904 0.076 0.004 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00 2 0.4269 0.7850 0.000 0.568 0.000 0.020 0.412 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5 2 0.3684 0.8547 0.000 0.628 0.000 0.000 0.372 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C 1 0.0000 0.9247 1.000 0.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D 5 0.2092 0.6128 0.000 0.124 0.000 0.000 0.876 0.000
#> 86689648-2C4A-456F-A551-B9731400846C 3 0.1285 0.9180 0.000 0.004 0.944 0.052 0.000 0.000
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A 1 0.0000 0.9247 1.000 0.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1 5 0.2048 0.6217 0.000 0.120 0.000 0.000 0.880 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C 3 0.1753 0.9097 0.000 0.000 0.912 0.084 0.000 0.004
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89 3 0.2325 0.9021 0.000 0.000 0.892 0.048 0.000 0.060
#> 852F1EDF-6046-462C-820F-9782410E1845 1 0.0000 0.9247 1.000 0.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07 1 0.3468 0.5003 0.728 0.000 0.000 0.264 0.008 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF 6 0.0000 0.9985 0.000 0.000 0.000 0.000 0.000 1.000
#> B9C99F02-10F1-44A6-B9FE-716955D00521 3 0.1007 0.9228 0.000 0.000 0.956 0.044 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2 1 0.0865 0.9185 0.964 0.000 0.000 0.036 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639 1 0.1663 0.8775 0.912 0.000 0.000 0.088 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF 5 0.3215 0.3431 0.000 0.240 0.000 0.004 0.756 0.000
#> 8BC1B435-3C47-48D7-A355-9614C75F552B 5 0.4613 0.5552 0.000 0.128 0.000 0.180 0.692 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8 1 0.2996 0.6304 0.772 0.000 0.000 0.228 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2 5 0.3657 0.6464 0.000 0.108 0.000 0.100 0.792 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684 5 0.3149 0.6443 0.000 0.132 0.000 0.044 0.824 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3 1 0.0000 0.9247 1.000 0.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB 5 0.3265 0.3154 0.000 0.248 0.000 0.004 0.748 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C 3 0.2263 0.9046 0.000 0.000 0.896 0.048 0.000 0.056
#> 879DC385-8E19-410C-8C04-0B7015FB7289 2 0.3797 0.7937 0.000 0.580 0.000 0.000 0.420 0.000
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08 5 0.4756 0.5374 0.000 0.128 0.000 0.200 0.672 0.000
#> 864194B9-3525-439D-84A4-EA257300335C 3 0.4473 0.7624 0.088 0.000 0.752 0.128 0.000 0.032
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345 6 0.0000 0.9985 0.000 0.000 0.000 0.000 0.000 1.000
#> FCDDC169-7863-440B-82A6-6A13A4B827B9 2 0.3998 0.5749 0.000 0.712 0.000 0.040 0.248 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9 5 0.1957 0.6249 0.000 0.112 0.000 0.000 0.888 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579 2 0.3952 0.8620 0.000 0.672 0.000 0.020 0.308 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D 3 0.1769 0.9172 0.000 0.004 0.924 0.060 0.000 0.012
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1 2 0.3684 0.8547 0.000 0.628 0.000 0.000 0.372 0.000
#> 4C96C968-6B8F-4B81-B141-4081F338F333 2 0.3706 0.8476 0.000 0.620 0.000 0.000 0.380 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86 5 0.2793 0.4896 0.000 0.200 0.000 0.000 0.800 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA 5 0.4200 0.6023 0.000 0.120 0.000 0.140 0.740 0.000
#> 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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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#> 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
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#> 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
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
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
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
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
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#> 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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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#> D58D4588-EEDC-463E-8D25-0F6BF27E8569 2 0.0000 0.990 0.000 1.000 0.000 0.000
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#> A7EA898D-9421-4B7E-A19A-096A1280A1C8 4 0.0817 0.928 0.000 0.024 0.000 0.976
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#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9 3 0.5355 0.418 0.360 0.000 0.620 0.020
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#> 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
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
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
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#> B18217F7-303C-4104-848E-A354DADE72BF 6 0.1501 0.93818 0.000 0.000 0.076 0.000 0.000 0.924
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#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345 6 0.1501 0.93818 0.000 0.000 0.076 0.000 0.000 0.924
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#> 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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
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
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#> 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
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#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3 1 0.2092 0.902 0.876 0.124 0.000 0.000 0.000 0.000
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#> 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
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#> 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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
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
#> 8670C657-F6AB-4767-9278-42E64C614370 3 0.5688 -0.28723 0.000 0.024 0.492 0.088 0.000 0.396
#> 1709294C-7194-493D-AF5C-574927F57C0C 5 0.5485 -0.51384 0.000 0.096 0.000 0.436 0.460 0.008
#> B23B6B92-29DA-4349-9FBC-32399C44C058 1 0.0000 0.88069 1.000 0.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0 5 0.4572 0.08766 0.000 0.020 0.000 0.400 0.568 0.012
#> ABB04648-2D62-4E34-9003-4458BF84318D 1 0.1549 0.86614 0.936 0.000 0.000 0.044 0.000 0.020
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F 1 0.3457 0.80019 0.752 0.000 0.000 0.232 0.000 0.016
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59 5 0.4586 0.09467 0.000 0.020 0.000 0.408 0.560 0.012
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683 5 0.5151 -0.14698 0.000 0.044 0.000 0.428 0.508 0.020
#> FA31586E-9068-4E53-82EF-6B5339FF720D 2 0.2618 0.84003 0.000 0.860 0.000 0.024 0.116 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B 5 0.4481 0.08811 0.000 0.020 0.000 0.400 0.572 0.008
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F 2 0.2536 0.84079 0.000 0.864 0.000 0.020 0.116 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE 5 0.4586 0.09467 0.000 0.020 0.000 0.408 0.560 0.012
#> 667C5809-4A62-4344-9854-CE5703C99FDA 5 0.0603 0.46090 0.000 0.004 0.000 0.000 0.980 0.016
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145 2 0.3355 0.84333 0.000 0.828 0.000 0.016 0.116 0.040
#> 00B1B6C5-C4C1-4248-8879-F30727137391 1 0.3704 0.79834 0.744 0.008 0.000 0.232 0.000 0.016
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3 3 0.3448 0.67159 0.000 0.024 0.832 0.088 0.000 0.056
#> 75565A38-EC23-4052-8D31-903C601F64D5 2 0.6274 -0.43771 0.000 0.408 0.000 0.372 0.204 0.016
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86 1 0.0000 0.88069 1.000 0.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91 2 0.3263 0.84156 0.000 0.832 0.000 0.012 0.116 0.040
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC 3 0.1401 0.77369 0.000 0.004 0.948 0.020 0.000 0.028
#> E6F801F4-9289-4623-B7D9-60CA56C71683 6 0.4092 0.78900 0.024 0.004 0.176 0.032 0.000 0.764
#> B644962A-DEFE-4169-A39E-EF2141F5125A 5 0.0820 0.45187 0.000 0.000 0.000 0.016 0.972 0.012
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1 3 0.2617 0.75511 0.000 0.040 0.876 0.080 0.000 0.004
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#> A5613D6C-B394-4619-AA09-022348BD0B7C 1 0.2980 0.82541 0.800 0.008 0.000 0.192 0.000 0.000
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#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A 3 0.0260 0.77869 0.000 0.000 0.992 0.008 0.000 0.000
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#> DD36DD53-C576-44EF-A68B-E009B37A2385 4 0.6148 0.80076 0.000 0.192 0.000 0.424 0.372 0.012
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8 5 0.0891 0.46275 0.000 0.024 0.000 0.008 0.968 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379 1 0.0146 0.88076 0.996 0.004 0.000 0.000 0.000 0.000
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#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E 5 0.3537 0.28507 0.000 0.164 0.000 0.016 0.796 0.024
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478 1 0.4331 0.75323 0.704 0.000 0.000 0.220 0.000 0.076
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6 5 0.4249 0.10201 0.000 0.004 0.000 0.416 0.568 0.012
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9 1 0.5088 0.69304 0.648 0.008 0.000 0.220 0.000 0.124
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB 1 0.0000 0.88069 1.000 0.000 0.000 0.000 0.000 0.000
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#> F58FC7D6-A999-43BE-AC90-F23C39C9E887 4 0.6129 0.78049 0.000 0.212 0.000 0.428 0.352 0.008
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F 1 0.0000 0.88069 1.000 0.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5 3 0.0260 0.77862 0.000 0.000 0.992 0.008 0.000 0.000
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00 2 0.3939 0.83106 0.000 0.788 0.000 0.016 0.116 0.080
#> 692A3312-2027-472B-A28C-C661A0539EB5 2 0.3106 0.84180 0.000 0.840 0.000 0.024 0.120 0.016
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#> BFB33809-F185-4835-8329-AE53FDEE847C 3 0.4213 0.71275 0.000 0.040 0.780 0.080 0.000 0.100
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89 6 0.5147 0.73023 0.000 0.024 0.252 0.080 0.000 0.644
#> 852F1EDF-6046-462C-820F-9782410E1845 1 0.0000 0.88069 1.000 0.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07 1 0.1320 0.86852 0.948 0.000 0.000 0.036 0.000 0.016
#> B18217F7-303C-4104-848E-A354DADE72BF 6 0.4173 0.60102 0.168 0.004 0.032 0.032 0.000 0.764
#> B9C99F02-10F1-44A6-B9FE-716955D00521 3 0.3448 0.67159 0.000 0.024 0.832 0.088 0.000 0.056
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2 1 0.3459 0.80571 0.768 0.004 0.000 0.212 0.000 0.016
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639 1 0.3553 0.80611 0.820 0.016 0.000 0.096 0.000 0.068
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF 5 0.6500 -0.50939 0.000 0.160 0.000 0.340 0.452 0.048
#> 8BC1B435-3C47-48D7-A355-9614C75F552B 5 0.0692 0.46495 0.000 0.020 0.000 0.000 0.976 0.004
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8 1 0.4241 0.79308 0.784 0.040 0.000 0.104 0.004 0.068
#> F83A9753-D4FA-487F-942E-C804FE616DA2 2 0.5638 0.43124 0.000 0.504 0.000 0.024 0.388 0.084
#> 16A70057-AF47-4934-992E-3E9CF6E74684 5 0.1536 0.46005 0.000 0.020 0.000 0.024 0.944 0.012
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3 1 0.0291 0.87919 0.992 0.000 0.000 0.004 0.000 0.004
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB 2 0.4162 0.83417 0.000 0.780 0.000 0.040 0.120 0.060
#> 06E41414-2270-4C59-8CFF-4FB9A410393C 6 0.3161 0.80799 0.000 0.000 0.216 0.008 0.000 0.776
#> 879DC385-8E19-410C-8C04-0B7015FB7289 4 0.6088 0.77719 0.000 0.176 0.000 0.408 0.404 0.012
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08 5 0.1983 0.42419 0.000 0.060 0.000 0.012 0.916 0.012
#> 864194B9-3525-439D-84A4-EA257300335C 6 0.7251 0.45501 0.120 0.000 0.212 0.260 0.000 0.408
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345 6 0.3074 0.81641 0.000 0.004 0.200 0.004 0.000 0.792
#> FCDDC169-7863-440B-82A6-6A13A4B827B9 2 0.4024 0.82839 0.000 0.784 0.000 0.020 0.116 0.080
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9 5 0.4572 0.08766 0.000 0.020 0.000 0.400 0.568 0.012
#> 46E513F2-B915-433B-8659-6A4BCA3A0579 2 0.2450 0.84216 0.000 0.868 0.000 0.016 0.116 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D 3 0.4213 0.71275 0.000 0.040 0.780 0.080 0.000 0.100
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1 2 0.3757 0.82202 0.000 0.804 0.000 0.052 0.120 0.024
#> 4C96C968-6B8F-4B81-B141-4081F338F333 2 0.3613 0.82430 0.000 0.808 0.000 0.048 0.128 0.016
#> 4022B5D9-8B67-45C3-867B-A72129500F86 5 0.6056 -0.69551 0.000 0.148 0.000 0.368 0.464 0.020
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA 5 0.0951 0.46492 0.000 0.020 0.000 0.004 0.968 0.008
#> 36D1E390-7DDA-4722-8F72-87720D368A6B 2 0.2971 0.83684 0.000 0.848 0.000 0.024 0.116 0.012
#> 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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
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
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59 2 0.1370 0.7802 0.000 0.948 0.000 0.036 0.004 0.012
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683 2 0.1340 0.7818 0.000 0.948 0.000 0.008 0.004 0.040
#> FA31586E-9068-4E53-82EF-6B5339FF720D 2 0.3268 0.7245 0.000 0.824 0.000 0.100 0.076 0.000
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B 2 0.1340 0.7818 0.000 0.948 0.000 0.008 0.004 0.040
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F 2 0.2617 0.7311 0.000 0.876 0.000 0.004 0.080 0.040
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE 2 0.1340 0.7800 0.000 0.948 0.000 0.040 0.004 0.008
#> 667C5809-4A62-4344-9854-CE5703C99FDA 4 0.4343 0.5092 0.000 0.380 0.000 0.592 0.028 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145 2 0.0146 0.7801 0.000 0.996 0.000 0.000 0.004 0.000
#> 00B1B6C5-C4C1-4248-8879-F30727137391 5 0.4003 0.7463 0.152 0.000 0.000 0.000 0.756 0.092
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3 3 0.1714 0.7762 0.000 0.000 0.908 0.000 0.000 0.092
#> 75565A38-EC23-4052-8D31-903C601F64D5 2 0.4634 0.5195 0.000 0.692 0.000 0.000 0.164 0.144
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86 1 0.0146 0.8664 0.996 0.000 0.000 0.000 0.004 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91 2 0.2664 0.7113 0.000 0.848 0.000 0.136 0.016 0.000
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC 3 0.2932 0.7848 0.000 0.000 0.840 0.024 0.004 0.132
#> E6F801F4-9289-4623-B7D9-60CA56C71683 6 0.3384 0.7414 0.000 0.000 0.068 0.000 0.120 0.812
#> B644962A-DEFE-4169-A39E-EF2141F5125A 4 0.1636 0.6733 0.000 0.036 0.004 0.936 0.024 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1 3 0.0146 0.7926 0.000 0.000 0.996 0.000 0.000 0.004
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5 6 0.3384 0.7414 0.000 0.000 0.068 0.000 0.120 0.812
#> 04156B26-81B5-4E17-A14A-819800ABFE36 1 0.0000 0.8655 1.000 0.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A 3 0.1663 0.7930 0.000 0.000 0.912 0.000 0.000 0.088
#> 589ACA26-273D-491F-836B-A604BE63947B 2 0.2056 0.7472 0.000 0.904 0.000 0.004 0.080 0.012
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5 4 0.3743 0.6418 0.000 0.252 0.000 0.724 0.024 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C 2 0.1297 0.7835 0.000 0.948 0.000 0.012 0.000 0.040
#> 8440581E-43B1-4994-B2D8-5934F56F40B5 1 0.0146 0.8653 0.996 0.000 0.000 0.000 0.004 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7 3 0.4172 0.4085 0.000 0.000 0.680 0.040 0.000 0.280
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0 4 0.4026 0.5419 0.000 0.348 0.000 0.636 0.016 0.000
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C 5 0.3390 0.8073 0.296 0.000 0.000 0.000 0.704 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775 2 0.2933 0.6509 0.000 0.796 0.000 0.200 0.004 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2 3 0.0146 0.7926 0.000 0.000 0.996 0.000 0.000 0.004
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B 6 0.2996 0.8362 0.000 0.000 0.228 0.000 0.000 0.772
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8 1 0.0632 0.8545 0.976 0.000 0.000 0.000 0.024 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362 2 0.1536 0.7799 0.000 0.940 0.000 0.016 0.004 0.040
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB 2 0.3782 0.4437 0.000 0.636 0.000 0.360 0.004 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716 3 0.1327 0.7901 0.000 0.000 0.936 0.000 0.000 0.064
#> 15D9DE0E-9A17-4679-B63D-071650CCD356 2 0.4396 -0.1744 0.000 0.520 0.000 0.456 0.024 0.000
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083 2 0.4771 0.5182 0.000 0.688 0.000 0.004 0.164 0.144
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834 1 0.0363 0.8645 0.988 0.000 0.000 0.000 0.012 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3 2 0.1340 0.7818 0.000 0.948 0.000 0.008 0.004 0.040
#> 71236E3D-863A-4E82-BB99-F91157E39CF9 2 0.3997 -0.1638 0.000 0.508 0.000 0.488 0.004 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C 3 0.4663 0.6116 0.000 0.000 0.684 0.000 0.124 0.192
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645 2 0.1901 0.7696 0.000 0.912 0.000 0.076 0.004 0.008
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB 4 0.1152 0.6878 0.000 0.044 0.000 0.952 0.004 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803 2 0.3943 0.6599 0.000 0.760 0.000 0.156 0.084 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3 1 0.3351 0.4755 0.712 0.000 0.000 0.000 0.288 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E 2 0.2048 0.7364 0.000 0.880 0.000 0.120 0.000 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB 1 0.0146 0.8664 0.996 0.000 0.000 0.000 0.004 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE 2 0.4205 -0.0133 0.000 0.564 0.000 0.420 0.016 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6 1 0.2941 0.6217 0.780 0.000 0.000 0.000 0.220 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB 2 0.1910 0.7499 0.000 0.892 0.000 0.108 0.000 0.000
#> 1339CB34-B996-470A-9710-0649DD05D18A 2 0.3852 0.4004 0.000 0.612 0.000 0.384 0.004 0.000
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126 2 0.3513 0.6664 0.000 0.812 0.000 0.004 0.100 0.084
#> 7559E197-0527-40D8-A982-C37B35A9A902 3 0.1501 0.7853 0.000 0.000 0.924 0.000 0.000 0.076
#> 4C120336-16A5-42B4-B069-48E11F1F746D 3 0.1663 0.7930 0.000 0.000 0.912 0.000 0.000 0.088
#> 44C04683-DE81-45AB-9695-4BA64CE73155 1 0.0000 0.8655 1.000 0.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE 1 0.3534 0.6207 0.740 0.000 0.000 0.000 0.244 0.016
#> A4867173-D9ED-48ED-974D-D33EE9076ECA 1 0.0146 0.8664 0.996 0.000 0.000 0.000 0.004 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF 4 0.1075 0.6905 0.000 0.048 0.000 0.952 0.000 0.000
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0 3 0.1806 0.7920 0.000 0.000 0.908 0.000 0.004 0.088
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8 3 0.0000 0.7918 0.000 0.000 1.000 0.000 0.000 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8 2 0.2094 0.7543 0.000 0.900 0.000 0.020 0.080 0.000
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4 2 0.4771 0.5182 0.000 0.688 0.000 0.004 0.164 0.144
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D 5 0.3695 0.7567 0.376 0.000 0.000 0.000 0.624 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92 3 0.1858 0.7755 0.000 0.000 0.904 0.004 0.000 0.092
#> 146CCB02-762A-4F38-9686-03E1C20E07C9 2 0.4224 0.2681 0.000 0.632 0.000 0.340 0.028 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB 1 0.4039 0.3988 0.632 0.000 0.000 0.000 0.352 0.016
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569 2 0.1340 0.7818 0.000 0.948 0.000 0.008 0.004 0.040
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1 3 0.4328 0.4786 0.000 0.000 0.672 0.040 0.004 0.284
#> 5D916BB7-6B38-414E-875E-2497C91B209A 5 0.3126 0.8005 0.248 0.000 0.000 0.000 0.752 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95 1 0.3674 0.5829 0.716 0.000 0.000 0.000 0.268 0.016
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7 2 0.1442 0.7803 0.000 0.944 0.000 0.040 0.004 0.012
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D 2 0.0405 0.7794 0.000 0.988 0.000 0.004 0.008 0.000
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0 2 0.1444 0.7792 0.000 0.928 0.000 0.072 0.000 0.000
#> A5613D6C-B394-4619-AA09-022348BD0B7C 5 0.3446 0.8032 0.308 0.000 0.000 0.000 0.692 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C 2 0.1370 0.7802 0.000 0.948 0.000 0.036 0.004 0.012
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A 3 0.0146 0.7926 0.000 0.000 0.996 0.000 0.000 0.004
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504 2 0.1340 0.7818 0.000 0.948 0.000 0.008 0.004 0.040
#> DD36DD53-C576-44EF-A68B-E009B37A2385 2 0.4834 0.5066 0.000 0.680 0.000 0.004 0.172 0.144
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8 2 0.3756 0.4540 0.000 0.644 0.000 0.352 0.004 0.000
#> CF882451-7864-4A14-8893-D9F3D1B79379 1 0.0260 0.8641 0.992 0.000 0.000 0.000 0.008 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6 1 0.0458 0.8634 0.984 0.000 0.000 0.000 0.016 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898 3 0.1267 0.7910 0.000 0.000 0.940 0.000 0.000 0.060
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB 2 0.0777 0.7829 0.000 0.972 0.000 0.004 0.000 0.024
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24 1 0.0146 0.8664 0.996 0.000 0.000 0.000 0.004 0.000
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E 2 0.2361 0.7666 0.000 0.880 0.000 0.104 0.004 0.012
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478 5 0.4266 0.7735 0.356 0.000 0.020 0.000 0.620 0.004
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6 2 0.1370 0.7802 0.000 0.948 0.000 0.036 0.004 0.012
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9 5 0.5888 0.6142 0.128 0.000 0.124 0.000 0.636 0.112
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB 1 0.0260 0.8661 0.992 0.000 0.000 0.000 0.008 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16 2 0.3321 0.7218 0.000 0.820 0.000 0.100 0.080 0.000
#> C06A7A87-28A2-4851-A743-583F729D07D3 5 0.3695 0.7567 0.376 0.000 0.000 0.000 0.624 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887 2 0.0291 0.7792 0.000 0.992 0.000 0.004 0.004 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F 1 0.0000 0.8655 1.000 0.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5 3 0.3510 0.7464 0.000 0.000 0.772 0.016 0.008 0.204
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00 2 0.3797 0.4403 0.000 0.692 0.000 0.292 0.016 0.000
#> 692A3312-2027-472B-A28C-C661A0539EB5 2 0.2728 0.7426 0.000 0.860 0.000 0.100 0.040 0.000
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C 1 0.3482 0.3832 0.684 0.000 0.000 0.000 0.316 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D 2 0.1340 0.7818 0.000 0.948 0.000 0.008 0.004 0.040
#> 86689648-2C4A-456F-A551-B9731400846C 3 0.1806 0.7920 0.000 0.000 0.908 0.000 0.004 0.088
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A 1 0.0865 0.8452 0.964 0.000 0.000 0.000 0.036 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1 2 0.1814 0.7532 0.000 0.900 0.000 0.100 0.000 0.000
#> BFB33809-F185-4835-8329-AE53FDEE847C 3 0.4638 0.2054 0.000 0.000 0.588 0.040 0.004 0.368
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89 6 0.3833 0.8250 0.000 0.000 0.232 0.028 0.004 0.736
#> 852F1EDF-6046-462C-820F-9782410E1845 1 0.0000 0.8655 1.000 0.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07 1 0.0363 0.8640 0.988 0.000 0.000 0.000 0.012 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF 6 0.3878 0.7180 0.020 0.000 0.060 0.000 0.128 0.792
#> B9C99F02-10F1-44A6-B9FE-716955D00521 3 0.1714 0.7762 0.000 0.000 0.908 0.000 0.000 0.092
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2 5 0.3659 0.7690 0.364 0.000 0.000 0.000 0.636 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639 1 0.0865 0.8559 0.964 0.000 0.000 0.000 0.036 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF 2 0.1340 0.7818 0.000 0.948 0.000 0.008 0.004 0.040
#> 8BC1B435-3C47-48D7-A355-9614C75F552B 2 0.3448 0.5169 0.000 0.716 0.000 0.280 0.004 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8 1 0.1075 0.8500 0.952 0.000 0.000 0.000 0.048 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2 2 0.3684 0.4280 0.000 0.628 0.000 0.372 0.000 0.000
#> 16A70057-AF47-4934-992E-3E9CF6E74684 2 0.1370 0.7802 0.000 0.948 0.000 0.036 0.004 0.012
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3 1 0.0000 0.8655 1.000 0.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB 2 0.1958 0.7471 0.000 0.896 0.000 0.100 0.004 0.000
#> 06E41414-2270-4C59-8CFF-4FB9A410393C 6 0.3163 0.8332 0.000 0.000 0.232 0.004 0.000 0.764
#> 879DC385-8E19-410C-8C04-0B7015FB7289 2 0.1471 0.7640 0.000 0.932 0.000 0.000 0.064 0.004
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08 4 0.3834 0.6292 0.000 0.268 0.000 0.708 0.024 0.000
#> 864194B9-3525-439D-84A4-EA257300335C 5 0.5854 0.6445 0.148 0.000 0.124 0.000 0.636 0.092
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345 6 0.3053 0.8195 0.000 0.000 0.168 0.000 0.020 0.812
#> FCDDC169-7863-440B-82A6-6A13A4B827B9 2 0.1814 0.7485 0.000 0.900 0.000 0.100 0.000 0.000
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9 2 0.1340 0.7818 0.000 0.948 0.000 0.008 0.004 0.040
#> 46E513F2-B915-433B-8659-6A4BCA3A0579 2 0.4264 0.2336 0.000 0.620 0.000 0.352 0.028 0.000
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D 3 0.4741 -0.0730 0.000 0.000 0.536 0.040 0.004 0.420
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1 2 0.1956 0.7516 0.000 0.908 0.000 0.008 0.080 0.004
#> 4C96C968-6B8F-4B81-B141-4081F338F333 2 0.1141 0.7740 0.000 0.948 0.000 0.052 0.000 0.000
#> 4022B5D9-8B67-45C3-867B-A72129500F86 4 0.4076 0.4535 0.000 0.396 0.000 0.592 0.012 0.000
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA 2 0.3468 0.5167 0.000 0.712 0.000 0.284 0.004 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B 2 0.4865 0.5016 0.000 0.676 0.000 0.004 0.176 0.144
#> 633D24E2-63CE-499F-A448-765AAAEF1977 2 0.4834 0.5079 0.000 0.680 0.000 0.004 0.172 0.144
#> A7F1C42F-2DA3-44A3-B7B5-5E710BD17AF0 6 0.4506 0.7510 0.000 0.000 0.344 0.036 0.004 0.616
#> 1DB88BDB-6ABA-43E2-9BF2-024679A773C5 4 0.3887 0.5059 0.000 0.360 0.000 0.632 0.008 0.000
#> 2E2D2E6D-DD3E-4556-8A03-993BAE7D8DC2 2 0.2377 0.7533 0.000 0.868 0.000 0.124 0.004 0.004
#> 284795FA-F49C-4065-9EDC-362E02B88C8E 2 0.1370 0.7802 0.000 0.948 0.000 0.036 0.004 0.012
#> E5437C83-CA9A-4241-84EE-8BCE97192D67 5 0.4674 0.7707 0.212 0.000 0.056 0.000 0.704 0.028
#> 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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
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
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#> D58D4588-EEDC-463E-8D25-0F6BF27E8569 2 0.4212 0.2043 0.000 0.560 0.000 0.000 0.424 0.016
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#> 5D916BB7-6B38-414E-875E-2497C91B209A 1 0.0260 0.9280 0.992 0.000 0.000 0.008 0.000 0.000
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#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A 3 0.0000 0.9626 0.000 0.000 1.000 0.000 0.000 0.000
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#> 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
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#> 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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
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
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C 4 0.6341 -0.25410 0.368 0.000 0.012 0.368 0.000 0.252
#> 3D71A939-4D61-4178-91C8-9B5004B14064 2 0.5741 0.60039 0.000 0.668 0.028 0.156 0.108 0.040
#> BF2014FC-8FED-494C-B6FB-8953C106409A 3 0.3841 0.55700 0.040 0.000 0.816 0.100 0.012 0.032
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A 5 0.5344 0.03058 0.000 0.064 0.000 0.384 0.532 0.020
#> 211FD575-40D6-4E44-818F-3A382F4634DA 3 0.5585 0.28568 0.040 0.000 0.648 0.120 0.004 0.188
#> 2794603E-F476-4100-A7BB-393F1BAB83AA 1 0.5872 0.47542 0.524 0.000 0.000 0.268 0.008 0.200
#> 12078907-435A-46C9-96C1-24E71BF4602D 3 0.5247 -0.70713 0.040 0.000 0.480 0.028 0.000 0.452
#> 8670C657-F6AB-4767-9278-42E64C614370 3 0.4606 0.21515 0.040 0.000 0.708 0.020 0.008 0.224
#> 1709294C-7194-493D-AF5C-574927F57C0C 2 0.6339 -0.12525 0.000 0.428 0.004 0.008 0.296 0.264
#> B23B6B92-29DA-4349-9FBC-32399C44C058 1 0.1078 0.82036 0.964 0.000 0.000 0.016 0.012 0.008
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0 5 0.5721 0.52661 0.000 0.240 0.000 0.000 0.520 0.240
#> ABB04648-2D62-4E34-9003-4458BF84318D 1 0.5496 0.55275 0.592 0.000 0.000 0.240 0.008 0.160
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F 1 0.4382 0.68781 0.740 0.000 0.000 0.156 0.012 0.092
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59 5 0.5721 0.52661 0.000 0.240 0.000 0.000 0.520 0.240
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683 5 0.6397 0.36339 0.000 0.336 0.004 0.008 0.388 0.264
#> FA31586E-9068-4E53-82EF-6B5339FF720D 2 0.0508 0.75289 0.000 0.984 0.004 0.000 0.000 0.012
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B 5 0.5719 0.54727 0.000 0.212 0.000 0.004 0.544 0.240
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F 2 0.0146 0.75374 0.000 0.996 0.000 0.004 0.000 0.000
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE 5 0.5667 0.53685 0.000 0.228 0.000 0.000 0.532 0.240
#> 667C5809-4A62-4344-9854-CE5703C99FDA 5 0.2575 0.47680 0.000 0.076 0.000 0.020 0.884 0.020
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145 2 0.4358 0.69021 0.000 0.788 0.028 0.104 0.040 0.040
#> 00B1B6C5-C4C1-4248-8879-F30727137391 1 0.6096 0.32211 0.436 0.000 0.000 0.316 0.004 0.244
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3 3 0.1901 0.60661 0.040 0.000 0.924 0.000 0.008 0.028
#> 75565A38-EC23-4052-8D31-903C601F64D5 2 0.0806 0.75145 0.000 0.972 0.008 0.000 0.000 0.020
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86 1 0.0260 0.82073 0.992 0.000 0.000 0.000 0.008 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91 2 0.4806 0.66441 0.000 0.740 0.028 0.156 0.036 0.040
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC 3 0.4211 0.52581 0.040 0.000 0.784 0.124 0.008 0.044
#> E6F801F4-9289-4623-B7D9-60CA56C71683 6 0.5287 0.88376 0.040 0.000 0.420 0.032 0.000 0.508
#> B644962A-DEFE-4169-A39E-EF2141F5125A 5 0.4091 0.33313 0.000 0.064 0.000 0.128 0.780 0.028
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1 3 0.1586 0.61694 0.040 0.000 0.940 0.004 0.012 0.004
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5 6 0.5287 0.88376 0.040 0.000 0.420 0.032 0.000 0.508
#> 04156B26-81B5-4E17-A14A-819800ABFE36 1 0.1173 0.81975 0.960 0.000 0.000 0.016 0.016 0.008
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A 3 0.2932 0.60237 0.040 0.000 0.876 0.056 0.012 0.016
#> 589ACA26-273D-491F-836B-A604BE63947B 2 0.0146 0.75374 0.000 0.996 0.000 0.004 0.000 0.000
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5 5 0.4979 0.17297 0.000 0.064 0.000 0.244 0.664 0.028
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C 5 0.6045 0.54680 0.000 0.204 0.008 0.008 0.532 0.248
#> 8440581E-43B1-4994-B2D8-5934F56F40B5 1 0.1933 0.81399 0.924 0.000 0.000 0.032 0.032 0.012
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7 3 0.4606 0.21515 0.040 0.000 0.708 0.020 0.008 0.224
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0 4 0.4970 0.09753 0.000 0.052 0.000 0.580 0.356 0.012
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C 1 0.5532 0.56162 0.600 0.000 0.000 0.224 0.012 0.164
#> C3087790-7575-4662-A7DC-B32808B9A775 5 0.5142 0.13460 0.000 0.064 0.000 0.276 0.632 0.028
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2 3 0.1226 0.61762 0.040 0.000 0.952 0.004 0.004 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B 3 0.5560 0.29183 0.040 0.000 0.656 0.104 0.008 0.192
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8 1 0.1933 0.81399 0.924 0.000 0.000 0.032 0.032 0.012
#> FE85B6AF-270A-41C7-BA60-7B83782CA362 5 0.6681 0.35263 0.000 0.332 0.000 0.032 0.368 0.268
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB 5 0.5357 0.02533 0.000 0.064 0.000 0.392 0.524 0.020
#> 1CCE57AC-C487-435C-9334-3C1EEB920716 3 0.1788 0.60754 0.040 0.000 0.928 0.000 0.004 0.028
#> 15D9DE0E-9A17-4679-B63D-071650CCD356 2 0.5614 0.61386 0.000 0.680 0.028 0.156 0.096 0.040
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083 2 0.0622 0.75291 0.000 0.980 0.008 0.000 0.000 0.012
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834 1 0.1757 0.80148 0.928 0.000 0.000 0.052 0.008 0.012
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3 5 0.5721 0.52661 0.000 0.240 0.000 0.000 0.520 0.240
#> 71236E3D-863A-4E82-BB99-F91157E39CF9 5 0.5708 0.55784 0.000 0.192 0.000 0.008 0.560 0.240
#> 54DCC779-B458-4805-8912-4501C7A7E95C 3 0.6897 -0.15779 0.040 0.000 0.348 0.348 0.004 0.260
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645 2 0.6445 0.45380 0.000 0.580 0.028 0.160 0.192 0.040
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB 5 0.6734 0.34767 0.000 0.224 0.028 0.168 0.536 0.044
#> 95118D2E-F239-4403-A19C-5F8BA2B25803 2 0.0508 0.75185 0.000 0.984 0.004 0.012 0.000 0.000
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3 1 0.1933 0.81399 0.924 0.000 0.000 0.032 0.032 0.012
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E 4 0.6227 0.07371 0.000 0.332 0.000 0.460 0.188 0.020
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB 1 0.0146 0.82122 0.996 0.000 0.000 0.000 0.004 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE 4 0.5702 0.19585 0.000 0.216 0.000 0.548 0.232 0.004
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6 1 0.0146 0.82158 0.996 0.000 0.000 0.000 0.004 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB 5 0.6548 0.45674 0.000 0.228 0.028 0.132 0.564 0.048
#> 1339CB34-B996-470A-9710-0649DD05D18A 5 0.4949 0.46105 0.000 0.076 0.024 0.124 0.740 0.036
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126 2 0.3265 0.58372 0.000 0.748 0.004 0.000 0.000 0.248
#> 7559E197-0527-40D8-A982-C37B35A9A902 3 0.1788 0.60754 0.040 0.000 0.928 0.000 0.004 0.028
#> 4C120336-16A5-42B4-B069-48E11F1F746D 3 0.3298 0.59079 0.040 0.000 0.856 0.064 0.012 0.028
#> 44C04683-DE81-45AB-9695-4BA64CE73155 1 0.1515 0.81769 0.944 0.000 0.000 0.020 0.028 0.008
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE 1 0.5872 0.47542 0.524 0.000 0.000 0.268 0.008 0.200
#> A4867173-D9ED-48ED-974D-D33EE9076ECA 1 0.1515 0.81769 0.944 0.000 0.000 0.020 0.028 0.008
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF 5 0.5053 0.42195 0.000 0.064 0.024 0.152 0.724 0.036
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0 3 0.1598 0.61562 0.040 0.000 0.940 0.004 0.008 0.008
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8 3 0.1340 0.61760 0.040 0.000 0.948 0.004 0.008 0.000
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8 2 0.0603 0.75272 0.000 0.980 0.004 0.000 0.000 0.016
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4 2 0.0806 0.75145 0.000 0.972 0.008 0.000 0.000 0.020
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D 1 0.0146 0.82158 0.996 0.000 0.000 0.000 0.004 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92 3 0.1901 0.60661 0.040 0.000 0.924 0.000 0.008 0.028
#> 146CCB02-762A-4F38-9686-03E1C20E07C9 2 0.0405 0.75280 0.000 0.988 0.004 0.008 0.000 0.000
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB 4 0.7114 0.16207 0.148 0.000 0.016 0.468 0.088 0.280
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569 2 0.7458 0.00824 0.000 0.428 0.028 0.080 0.272 0.192
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1 3 0.4509 0.50106 0.040 0.000 0.764 0.124 0.008 0.064
#> 5D916BB7-6B38-414E-875E-2497C91B209A 1 0.5480 0.56764 0.608 0.000 0.000 0.220 0.012 0.160
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95 1 0.5872 0.47542 0.524 0.000 0.000 0.268 0.008 0.200
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7 5 0.5214 0.02139 0.000 0.064 0.000 0.400 0.524 0.012
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D 2 0.4448 0.68161 0.000 0.772 0.028 0.132 0.032 0.036
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0 5 0.5826 0.47412 0.000 0.128 0.028 0.136 0.664 0.044
#> A5613D6C-B394-4619-AA09-022348BD0B7C 1 0.3795 0.72450 0.788 0.000 0.000 0.112 0.004 0.096
#> 59AF492E-C164-49FC-A40C-6607ED7E108C 5 0.4306 0.52429 0.000 0.108 0.024 0.052 0.788 0.028
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A 3 0.1226 0.61762 0.040 0.000 0.952 0.004 0.004 0.000
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504 5 0.5888 0.48641 0.000 0.268 0.000 0.000 0.476 0.256
#> DD36DD53-C576-44EF-A68B-E009B37A2385 2 0.0909 0.75144 0.000 0.968 0.012 0.000 0.000 0.020
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8 5 0.5344 0.03058 0.000 0.064 0.000 0.384 0.532 0.020
#> CF882451-7864-4A14-8893-D9F3D1B79379 1 0.0146 0.82175 0.996 0.000 0.000 0.004 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6 1 0.0405 0.82009 0.988 0.000 0.000 0.004 0.008 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898 3 0.1788 0.60754 0.040 0.000 0.928 0.000 0.004 0.028
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB 2 0.5701 0.60395 0.000 0.680 0.028 0.124 0.120 0.048
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24 1 0.5714 0.51500 0.556 0.000 0.000 0.252 0.008 0.184
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E 5 0.4561 0.55623 0.000 0.152 0.024 0.032 0.756 0.036
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478 1 0.1858 0.80079 0.924 0.000 0.000 0.052 0.012 0.012
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6 5 0.5667 0.53685 0.000 0.228 0.000 0.000 0.532 0.240
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9 1 0.2847 0.78523 0.876 0.000 0.000 0.048 0.036 0.040
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB 1 0.0146 0.82158 0.996 0.000 0.000 0.000 0.004 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16 2 0.5381 0.19367 0.000 0.552 0.004 0.344 0.096 0.004
#> C06A7A87-28A2-4851-A743-583F729D07D3 1 0.1933 0.81399 0.924 0.000 0.000 0.032 0.032 0.012
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887 2 0.6368 -0.17663 0.000 0.412 0.004 0.008 0.312 0.264
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F 1 0.0000 0.82132 1.000 0.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5 3 0.3584 0.55878 0.040 0.000 0.828 0.096 0.004 0.032
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00 2 0.4937 0.65989 0.000 0.732 0.028 0.156 0.044 0.040
#> 692A3312-2027-472B-A28C-C661A0539EB5 2 0.1787 0.73915 0.000 0.920 0.000 0.068 0.004 0.008
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C 1 0.1933 0.81399 0.924 0.000 0.000 0.032 0.032 0.012
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D 5 0.6397 0.36339 0.000 0.336 0.004 0.008 0.388 0.264
#> 86689648-2C4A-456F-A551-B9731400846C 3 0.2740 0.60460 0.040 0.000 0.884 0.056 0.012 0.008
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A 1 0.1933 0.81399 0.924 0.000 0.000 0.032 0.032 0.012
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1 5 0.6583 0.49073 0.000 0.200 0.000 0.056 0.492 0.252
#> BFB33809-F185-4835-8329-AE53FDEE847C 3 0.4695 0.47944 0.040 0.000 0.748 0.132 0.008 0.072
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89 3 0.5080 -0.10757 0.040 0.000 0.628 0.024 0.008 0.300
#> 852F1EDF-6046-462C-820F-9782410E1845 1 0.0984 0.82048 0.968 0.000 0.000 0.012 0.012 0.008
#> EF68CF6E-F46D-477A-B125-153DDE949C07 1 0.5318 0.57895 0.620 0.000 0.000 0.224 0.008 0.148
#> B18217F7-303C-4104-848E-A354DADE72BF 6 0.5232 0.79365 0.040 0.000 0.356 0.036 0.000 0.568
#> B9C99F02-10F1-44A6-B9FE-716955D00521 3 0.1901 0.60661 0.040 0.000 0.924 0.000 0.008 0.028
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2 1 0.2007 0.81406 0.920 0.000 0.000 0.032 0.036 0.012
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639 1 0.3689 0.73043 0.800 0.000 0.000 0.120 0.008 0.072
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF 5 0.7216 0.31450 0.000 0.332 0.024 0.040 0.368 0.236
#> 8BC1B435-3C47-48D7-A355-9614C75F552B 5 0.2487 0.45716 0.000 0.064 0.000 0.020 0.892 0.024
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8 1 0.4906 0.63402 0.676 0.000 0.000 0.192 0.008 0.124
#> F83A9753-D4FA-487F-942E-C804FE616DA2 4 0.5598 -0.00322 0.000 0.064 0.024 0.480 0.428 0.004
#> 16A70057-AF47-4934-992E-3E9CF6E74684 5 0.5268 0.57946 0.000 0.152 0.000 0.020 0.656 0.172
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3 1 0.0146 0.82122 0.996 0.000 0.000 0.000 0.004 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB 2 0.5762 0.60232 0.000 0.672 0.028 0.144 0.108 0.048
#> 06E41414-2270-4C59-8CFF-4FB9A410393C 3 0.4806 0.01593 0.040 0.000 0.648 0.012 0.008 0.292
#> 879DC385-8E19-410C-8C04-0B7015FB7289 2 0.2743 0.65403 0.000 0.828 0.008 0.000 0.000 0.164
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08 5 0.4979 0.17297 0.000 0.064 0.000 0.244 0.664 0.028
#> 864194B9-3525-439D-84A4-EA257300335C 4 0.7195 -0.12489 0.296 0.000 0.068 0.352 0.004 0.280
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345 3 0.5247 -0.70713 0.040 0.000 0.480 0.028 0.000 0.452
#> FCDDC169-7863-440B-82A6-6A13A4B827B9 4 0.5803 0.19542 0.000 0.216 0.000 0.544 0.232 0.008
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9 5 0.6238 0.40576 0.000 0.316 0.000 0.008 0.416 0.260
#> 46E513F2-B915-433B-8659-6A4BCA3A0579 2 0.0777 0.74820 0.000 0.972 0.004 0.024 0.000 0.000
#> 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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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#> 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
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#> 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
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
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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
#> 0CAAC9B1-10C1-44B2-9C40-C9812286E048 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> 87FDA84B-DB48-4594-A256-562ECD57DE6C 4 0.3999 0.4304 0.344 0.000 0.000 0.656 0.000
#> 3D71A939-4D61-4178-91C8-9B5004B14064 2 0.4300 -0.4564 0.000 0.524 0.000 0.000 0.476
#> BF2014FC-8FED-494C-B6FB-8953C106409A 3 0.0162 0.8828 0.000 0.000 0.996 0.000 0.004
#> AB8FD750-1796-4906-9BAD-E0E2D6AF3F9A 4 0.1774 0.8053 0.000 0.052 0.000 0.932 0.016
#> 211FD575-40D6-4E44-818F-3A382F4634DA 3 0.4030 0.7484 0.000 0.000 0.648 0.000 0.352
#> 2794603E-F476-4100-A7BB-393F1BAB83AA 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> 12078907-435A-46C9-96C1-24E71BF4602D 3 0.4030 0.7484 0.000 0.000 0.648 0.000 0.352
#> 8670C657-F6AB-4767-9278-42E64C614370 3 0.1792 0.8658 0.000 0.000 0.916 0.000 0.084
#> 1709294C-7194-493D-AF5C-574927F57C0C 2 0.0000 0.7028 0.000 1.000 0.000 0.000 0.000
#> B23B6B92-29DA-4349-9FBC-32399C44C058 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> B78B7692-B0B1-4051-BECB-8A09876AC4C0 2 0.0290 0.7010 0.000 0.992 0.000 0.000 0.008
#> ABB04648-2D62-4E34-9003-4458BF84318D 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59 2 0.0290 0.7010 0.000 0.992 0.000 0.000 0.008
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683 2 0.0510 0.7012 0.000 0.984 0.000 0.000 0.016
#> FA31586E-9068-4E53-82EF-6B5339FF720D 2 0.4074 0.0524 0.000 0.636 0.000 0.000 0.364
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B 2 0.0404 0.7020 0.000 0.988 0.000 0.000 0.012
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F 2 0.4138 -0.0487 0.000 0.616 0.000 0.000 0.384
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE 2 0.0290 0.7010 0.000 0.992 0.000 0.000 0.008
#> 667C5809-4A62-4344-9854-CE5703C99FDA 4 0.3586 0.6875 0.000 0.264 0.000 0.736 0.000
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145 2 0.4088 0.0509 0.000 0.632 0.000 0.000 0.368
#> 00B1B6C5-C4C1-4248-8879-F30727137391 1 0.0162 0.9903 0.996 0.000 0.004 0.000 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3 3 0.0290 0.8827 0.000 0.000 0.992 0.000 0.008
#> 75565A38-EC23-4052-8D31-903C601F64D5 2 0.0000 0.7028 0.000 1.000 0.000 0.000 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91 5 0.4227 0.7501 0.000 0.420 0.000 0.000 0.580
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC 3 0.0000 0.8831 0.000 0.000 1.000 0.000 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683 3 0.4045 0.7456 0.000 0.000 0.644 0.000 0.356
#> B644962A-DEFE-4169-A39E-EF2141F5125A 4 0.0000 0.8054 0.000 0.000 0.000 1.000 0.000
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1 3 0.0162 0.8828 0.000 0.000 0.996 0.000 0.004
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5 3 0.4045 0.7456 0.000 0.000 0.644 0.000 0.356
#> 04156B26-81B5-4E17-A14A-819800ABFE36 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A 3 0.0162 0.8828 0.000 0.000 0.996 0.000 0.004
#> 589ACA26-273D-491F-836B-A604BE63947B 2 0.4161 -0.0908 0.000 0.608 0.000 0.000 0.392
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5 4 0.0000 0.8054 0.000 0.000 0.000 1.000 0.000
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C 2 0.0771 0.6995 0.000 0.976 0.000 0.004 0.020
#> 8440581E-43B1-4994-B2D8-5934F56F40B5 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7 3 0.2424 0.8519 0.000 0.000 0.868 0.000 0.132
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0 5 0.4192 -0.1101 0.000 0.000 0.000 0.404 0.596
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> C3087790-7575-4662-A7DC-B32808B9A775 4 0.3098 0.7747 0.000 0.148 0.000 0.836 0.016
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2 3 0.0162 0.8828 0.000 0.000 0.996 0.000 0.004
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B 3 0.4030 0.7484 0.000 0.000 0.648 0.000 0.352
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> FE85B6AF-270A-41C7-BA60-7B83782CA362 2 0.2929 0.5156 0.000 0.820 0.000 0.000 0.180
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB 4 0.1648 0.8034 0.000 0.020 0.000 0.940 0.040
#> 1CCE57AC-C487-435C-9334-3C1EEB920716 3 0.0000 0.8831 0.000 0.000 1.000 0.000 0.000
#> 15D9DE0E-9A17-4679-B63D-071650CCD356 5 0.4300 0.6115 0.000 0.476 0.000 0.000 0.524
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083 2 0.4273 -0.3538 0.000 0.552 0.000 0.000 0.448
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3 2 0.0290 0.7010 0.000 0.992 0.000 0.000 0.008
#> 71236E3D-863A-4E82-BB99-F91157E39CF9 2 0.0566 0.7018 0.000 0.984 0.000 0.004 0.012
#> 54DCC779-B458-4805-8912-4501C7A7E95C 3 0.0404 0.8792 0.000 0.000 0.988 0.000 0.012
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645 5 0.4126 0.7808 0.000 0.380 0.000 0.000 0.620
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB 5 0.4101 0.7815 0.000 0.372 0.000 0.000 0.628
#> 95118D2E-F239-4403-A19C-5F8BA2B25803 5 0.4283 0.6894 0.000 0.456 0.000 0.000 0.544
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E 5 0.4101 0.7815 0.000 0.372 0.000 0.000 0.628
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE 5 0.4341 0.7740 0.000 0.364 0.000 0.008 0.628
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB 2 0.3816 0.2810 0.000 0.696 0.000 0.000 0.304
#> 1339CB34-B996-470A-9710-0649DD05D18A 4 0.6651 -0.3431 0.000 0.336 0.000 0.428 0.236
#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126 2 0.0290 0.7010 0.000 0.992 0.000 0.000 0.008
#> 7559E197-0527-40D8-A982-C37B35A9A902 3 0.0162 0.8831 0.000 0.000 0.996 0.000 0.004
#> 4C120336-16A5-42B4-B069-48E11F1F746D 3 0.0162 0.8828 0.000 0.000 0.996 0.000 0.004
#> 44C04683-DE81-45AB-9695-4BA64CE73155 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> 991BFD63-EBEE-4C5A-8360-5918ED26E4AE 1 0.0162 0.9912 0.996 0.000 0.000 0.000 0.004
#> A4867173-D9ED-48ED-974D-D33EE9076ECA 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> 82C92FD3-F077-42E7-B3EB-69408B7F6BCF 4 0.3375 0.7057 0.000 0.056 0.000 0.840 0.104
#> FC3D323B-DB23-43A2-AFD0-21AE520662E0 3 0.0162 0.8828 0.000 0.000 0.996 0.000 0.004
#> E7F58338-6854-4C5F-ABA8-3CC3570B7CA8 3 0.0162 0.8828 0.000 0.000 0.996 0.000 0.004
#> 09A97253-D3DF-40A2-8623-0AD42DF510A8 2 0.2329 0.6154 0.000 0.876 0.000 0.000 0.124
#> BCC102B8-06AF-4268-81A0-1A21D70C3CE4 2 0.1043 0.6915 0.000 0.960 0.000 0.000 0.040
#> 5E3876F2-37BF-4C87-97E8-2C18FB32807D 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> E61A5740-7C26-4730-9610-A3C710098B92 3 0.0404 0.8824 0.000 0.000 0.988 0.000 0.012
#> 146CCB02-762A-4F38-9686-03E1C20E07C9 2 0.4283 -0.3880 0.000 0.544 0.000 0.000 0.456
#> 3656F43B-E5F8-4988-9864-0CD78609C2CB 4 0.0000 0.8054 0.000 0.000 0.000 1.000 0.000
#> D58D4588-EEDC-463E-8D25-0F6BF27E8569 2 0.3480 0.4135 0.000 0.752 0.000 0.000 0.248
#> 80966C6E-979E-4EE7-AB12-7BBA9AB7FDB1 3 0.0000 0.8831 0.000 0.000 1.000 0.000 0.000
#> 5D916BB7-6B38-414E-875E-2497C91B209A 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> EE0BFC5E-98FA-4F6B-9386-8A56E6F26C95 1 0.0290 0.9876 0.992 0.000 0.000 0.000 0.008
#> A3CD519E-CF55-417F-AAB3-DEF0B25358C7 4 0.6557 0.0709 0.000 0.204 0.000 0.428 0.368
#> 4BFD1868-49FF-4D20-8369-9D50517FFD0D 5 0.4278 0.6992 0.000 0.452 0.000 0.000 0.548
#> 0F62AF32-0760-44AA-B2C8-9E7DF55E15B0 2 0.4420 -0.3677 0.000 0.548 0.000 0.004 0.448
#> A5613D6C-B394-4619-AA09-022348BD0B7C 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> 59AF492E-C164-49FC-A40C-6607ED7E108C 2 0.5535 0.1544 0.000 0.568 0.000 0.352 0.080
#> 28C3BA1C-9A5A-4ADB-B0A8-FD00FCBD061A 3 0.0162 0.8828 0.000 0.000 0.996 0.000 0.004
#> 843686CA-D9A9-45EA-9309-60D8B1E7E504 2 0.0162 0.7019 0.000 0.996 0.000 0.000 0.004
#> DD36DD53-C576-44EF-A68B-E009B37A2385 2 0.0162 0.7019 0.000 0.996 0.000 0.000 0.004
#> A7EA898D-9421-4B7E-A19A-096A1280A1C8 4 0.0963 0.7999 0.000 0.000 0.000 0.964 0.036
#> CF882451-7864-4A14-8893-D9F3D1B79379 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> 58D9C090-4AB9-4F62-AAD4-CAE5E2D6DEE6 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> 10161FA0-E389-4D98-B854-098AF908C898 3 0.0162 0.8828 0.000 0.000 0.996 0.000 0.004
#> 812E8CC6-4444-4AFE-8494-BDEF54E553BB 2 0.4182 -0.1125 0.000 0.600 0.000 0.000 0.400
#> 4D15BAA4-2B99-40E9-826D-D52CA79BDB24 1 0.0162 0.9912 0.996 0.000 0.000 0.000 0.004
#> 9FF253DD-C36A-4922-87C7-4A19CDB1586E 2 0.5618 0.2688 0.000 0.628 0.000 0.236 0.136
#> 3B949B75-DA81-41E9-B73A-98A7ABB27478 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> FF3173F2-68CA-4B0D-8F80-889838AAE6A6 2 0.0290 0.7010 0.000 0.992 0.000 0.000 0.008
#> 4A082059-5FAC-481D-88EF-6FC6F3E012A9 1 0.1041 0.9538 0.964 0.000 0.032 0.000 0.004
#> 5E4101CE-1592-4890-84F5-A6DE1C9AA3AB 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> E87456C1-BDDB-49DD-9F83-F7A2B47E3A16 5 0.4114 0.7818 0.000 0.376 0.000 0.000 0.624
#> C06A7A87-28A2-4851-A743-583F729D07D3 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> F58FC7D6-A999-43BE-AC90-F23C39C9E887 2 0.0000 0.7028 0.000 1.000 0.000 0.000 0.000
#> 7CB9AE79-EE30-4A2D-95F0-EC57181CBB1F 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> 36C94172-B70D-4DD7-97A8-AC7785C026B5 3 0.0162 0.8828 0.000 0.000 0.996 0.000 0.004
#> 1F5D2C7A-32AD-44FE-AF46-73F1F8F13B00 5 0.4273 0.7081 0.000 0.448 0.000 0.000 0.552
#> 692A3312-2027-472B-A28C-C661A0539EB5 5 0.4268 0.7155 0.000 0.444 0.000 0.000 0.556
#> 6C1831AA-DABF-4AD9-B679-5009E58C654C 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> 05E90CC1-187D-4CCA-A262-F93485B06F2D 2 0.0510 0.7012 0.000 0.984 0.000 0.000 0.016
#> 86689648-2C4A-456F-A551-B9731400846C 3 0.0162 0.8828 0.000 0.000 0.996 0.000 0.004
#> 98D55FB5-23B3-4D8D-AA4B-D7A89332FD4A 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> 70A80C6A-B873-4E61-9CED-FA638665B4A1 2 0.3661 0.3064 0.000 0.724 0.000 0.000 0.276
#> BFB33809-F185-4835-8329-AE53FDEE847C 3 0.0162 0.8831 0.000 0.000 0.996 0.000 0.004
#> 78F4F419-0C42-4853-B2B4-5D2D12F1CF89 3 0.4030 0.7484 0.000 0.000 0.648 0.000 0.352
#> 852F1EDF-6046-462C-820F-9782410E1845 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> EF68CF6E-F46D-477A-B125-153DDE949C07 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> B18217F7-303C-4104-848E-A354DADE72BF 3 0.4074 0.7395 0.000 0.000 0.636 0.000 0.364
#> B9C99F02-10F1-44A6-B9FE-716955D00521 3 0.0000 0.8831 0.000 0.000 1.000 0.000 0.000
#> 14051060-41FD-452B-AFDB-6DC73E4E4CD2 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> 0B734D75-4BA6-4B05-9852-BCD6C1C4E639 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF 2 0.1270 0.6844 0.000 0.948 0.000 0.000 0.052
#> 8BC1B435-3C47-48D7-A355-9614C75F552B 4 0.3336 0.7196 0.000 0.228 0.000 0.772 0.000
#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> F83A9753-D4FA-487F-942E-C804FE616DA2 5 0.5162 0.2103 0.000 0.064 0.000 0.308 0.628
#> 16A70057-AF47-4934-992E-3E9CF6E74684 2 0.0703 0.6856 0.000 0.976 0.000 0.024 0.000
#> 57E6CD01-C6C1-4A5D-975F-EA37CD1BA1B3 1 0.0000 0.9944 1.000 0.000 0.000 0.000 0.000
#> CC5330BD-B06E-4332-A83A-DA4E4A4993DB 2 0.4278 -0.3744 0.000 0.548 0.000 0.000 0.452
#> 06E41414-2270-4C59-8CFF-4FB9A410393C 3 0.4030 0.7484 0.000 0.000 0.648 0.000 0.352
#> 879DC385-8E19-410C-8C04-0B7015FB7289 2 0.0290 0.7010 0.000 0.992 0.000 0.000 0.008
#> 660C6BCC-5C1E-4316-862E-9B7CE3891D08 4 0.0000 0.8054 0.000 0.000 0.000 1.000 0.000
#> 864194B9-3525-439D-84A4-EA257300335C 3 0.5376 0.2887 0.424 0.000 0.520 0.000 0.056
#> 0DCABD31-B3BB-4AAE-BC77-35B324DB4345 3 0.4045 0.7456 0.000 0.000 0.644 0.000 0.356
#> FCDDC169-7863-440B-82A6-6A13A4B827B9 5 0.4238 0.7792 0.000 0.368 0.000 0.004 0.628
#> 7559A328-EEA5-4AAC-8D8D-63E98969DAA9 2 0.0000 0.7028 0.000 1.000 0.000 0.000 0.000
#> 46E513F2-B915-433B-8659-6A4BCA3A0579 5 0.4201 0.7625 0.000 0.408 0.000 0.000 0.592
#> C75BBADD-062C-4FDA-A1B1-C3C5C63EA95D 3 0.0404 0.8824 0.000 0.000 0.988 0.000 0.012
#> B4D93AE3-8051-4D10-AF35-40AE31D210F1 2 0.3395 0.4437 0.000 0.764 0.000 0.000 0.236
#> 4C96C968-6B8F-4B81-B141-4081F338F333 2 0.3274 0.4819 0.000 0.780 0.000 0.000 0.220
#> 4022B5D9-8B67-45C3-867B-A72129500F86 2 0.0290 0.7010 0.000 0.992 0.000 0.000 0.008
#> 1ECA27AB-C6E2-42BE-8968-909639F6EDBA 4 0.2179 0.7907 0.000 0.112 0.000 0.888 0.000
#> 36D1E390-7DDA-4722-8F72-87720D368A6B 2 0.3730 0.3290 0.000 0.712 0.000 0.000 0.288
#> 633D24E2-63CE-499F-A448-765AAAEF1977 2 0.1544 0.6722 0.000 0.932 0.000 0.000 0.068
#> 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
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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
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
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#> 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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
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
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#> 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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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#> 93610244-0DB6-4F45-8B4B-A68DE7D30DCF 2 0.000 0.992 0.000 1.000
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#> C5DAFC39-2552-47D5-BD2C-E9A74212DFF8 1 0.563 0.887 0.868 0.132
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#> 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
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#> 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
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#> 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
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
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
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
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
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#> 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
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#> 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
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#> 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
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#> 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
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#> 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
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#> 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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
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)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.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:
k;k, the area increased is defined as \(A_k - A_{k-1}\).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)
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.
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
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
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
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
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
#> ABB04648-2D62-4E34-9003-4458BF84318D 1 0.0260 0.937 0.992 0.000 0.000 0.000 NA 0.008
#> 5F1FB4E0-D5EA-46B4-9E62-E86E75AC030F 1 0.0405 0.936 0.988 0.000 0.000 0.000 NA 0.008
#> 6A67C831-06E3-46B6-B7D5-70D3D7334A59 2 0.3742 0.476 0.000 0.648 0.000 0.000 NA 0.004
#> D82E0500-B1B0-4C04-B66F-87CDE8D3B683 2 0.0725 0.826 0.000 0.976 0.000 0.012 NA 0.000
#> FA31586E-9068-4E53-82EF-6B5339FF720D 2 0.2844 0.805 0.000 0.856 0.000 0.112 NA 0.020
#> 66F2B3F9-9CB9-4228-AD28-9D7D9668873B 2 0.1003 0.826 0.000 0.964 0.000 0.020 NA 0.000
#> ACC04802-CCE5-4B03-BE8F-0AA15DFDB61F 2 0.2221 0.821 0.000 0.896 0.000 0.072 NA 0.032
#> 6FCE2A82-6346-48B2-9BAA-4C6077762EFE 2 0.2994 0.691 0.000 0.788 0.000 0.004 NA 0.000
#> 667C5809-4A62-4344-9854-CE5703C99FDA 4 0.6047 0.341 0.000 0.320 0.000 0.448 NA 0.004
#> 92F65628-2402-4CF2-A2F9-1F2E1B00D145 2 0.2468 0.819 0.000 0.888 0.000 0.048 NA 0.060
#> 00B1B6C5-C4C1-4248-8879-F30727137391 1 0.3592 0.392 0.656 0.000 0.344 0.000 NA 0.000
#> BAF9B758-9B7B-419A-B2E8-9FDC1D569FC3 3 0.0000 0.921 0.000 0.000 1.000 0.000 NA 0.000
#> 75565A38-EC23-4052-8D31-903C601F64D5 2 0.0508 0.826 0.000 0.984 0.000 0.004 NA 0.000
#> 0EA016C8-B636-45FE-8558-2D72F4D7EB86 1 0.0000 0.937 1.000 0.000 0.000 0.000 NA 0.000
#> C01F4272-D148-454E-A2FA-3DF281B23C91 2 0.2611 0.806 0.000 0.864 0.000 0.116 NA 0.012
#> DFD306CD-13AD-4ABA-BFF8-DB0570118BFC 3 0.0000 0.921 0.000 0.000 1.000 0.000 NA 0.000
#> E6F801F4-9289-4623-B7D9-60CA56C71683 6 0.2730 0.845 0.012 0.000 0.124 0.004 NA 0.856
#> B644962A-DEFE-4169-A39E-EF2141F5125A 4 0.4022 0.449 0.000 0.000 0.008 0.628 NA 0.004
#> CF7A534C-EEA1-49D9-AFB7-16A361DABAF1 3 0.0000 0.921 0.000 0.000 1.000 0.000 NA 0.000
#> B641A084-DEC3-4E1F-800D-CCE046C76DC5 6 0.2446 0.847 0.012 0.000 0.124 0.000 NA 0.864
#> 04156B26-81B5-4E17-A14A-819800ABFE36 1 0.0146 0.937 0.996 0.000 0.000 0.000 NA 0.004
#> 535F2EFD-4B88-4B80-B83E-F2FF5A49C21A 3 0.0000 0.921 0.000 0.000 1.000 0.000 NA 0.000
#> 589ACA26-273D-491F-836B-A604BE63947B 2 0.1588 0.825 0.000 0.924 0.000 0.072 NA 0.004
#> 1EB60B7E-A5D0-4773-9691-33238B87C2D5 4 0.3769 0.450 0.000 0.000 0.000 0.640 NA 0.004
#> 3597F365-9BE4-4AD2-AEE9-6073E9E9E47C 2 0.0717 0.827 0.000 0.976 0.000 0.016 NA 0.000
#> 8440581E-43B1-4994-B2D8-5934F56F40B5 1 0.0291 0.937 0.992 0.000 0.000 0.000 NA 0.004
#> 047DC304-C62B-4E2B-AEE9-E264DBB339F7 3 0.0632 0.912 0.000 0.000 0.976 0.000 NA 0.024
#> 85C26A58-78EB-4ADF-9930-A880FDDE3AA0 4 0.4576 0.449 0.004 0.212 0.000 0.716 NA 0.036
#> 9D181F32-A17D-4E4B-ACEE-52FE1DFEA05C 1 0.0405 0.935 0.988 0.000 0.000 0.000 NA 0.008
#> C3087790-7575-4662-A7DC-B32808B9A775 2 0.4580 0.359 0.000 0.612 0.000 0.336 NA 0.000
#> 66EF51CF-3953-4B82-9ACD-7179A2A4C4C2 3 0.0000 0.921 0.000 0.000 1.000 0.000 NA 0.000
#> 59B923C7-6D3F-4E81-9B3A-959984983F4B 3 0.3823 0.139 0.000 0.000 0.564 0.000 NA 0.436
#> CC16D0FA-25F3-434C-B41A-87BBF3D77EB8 1 0.0405 0.935 0.988 0.000 0.000 0.000 NA 0.008
#> FE85B6AF-270A-41C7-BA60-7B83782CA362 2 0.1812 0.815 0.000 0.912 0.000 0.080 NA 0.000
#> E385DADD-0B6C-4872-BF62-0C8F627BD2DB 4 0.2237 0.483 0.000 0.068 0.000 0.896 NA 0.000
#> 1CCE57AC-C487-435C-9334-3C1EEB920716 3 0.0146 0.920 0.000 0.000 0.996 0.000 NA 0.004
#> 15D9DE0E-9A17-4679-B63D-071650CCD356 2 0.3338 0.806 0.000 0.844 0.000 0.060 NA 0.064
#> F71BB6C0-87FE-400D-8BC7-9F7978ABA083 2 0.2451 0.822 0.000 0.888 0.000 0.068 NA 0.040
#> E08A2804-4C5D-4C6F-AEBD-7A3606FCE834 1 0.0000 0.937 1.000 0.000 0.000 0.000 NA 0.000
#> CD9DB2F0-B2C4-4712-A86F-A4BCB0586BB3 2 0.3081 0.674 0.000 0.776 0.000 0.000 NA 0.004
#> 71236E3D-863A-4E82-BB99-F91157E39CF9 2 0.1845 0.815 0.000 0.920 0.000 0.052 NA 0.000
#> 54DCC779-B458-4805-8912-4501C7A7E95C 3 0.0405 0.918 0.000 0.000 0.988 0.000 NA 0.004
#> 3C2D3BEE-7F61-40C5-8ADE-231EA1D30645 2 0.2902 0.749 0.000 0.800 0.000 0.196 NA 0.000
#> 3A18B95C-438C-4690-875E-A1C8C22EB6BB 2 0.4393 0.268 0.000 0.524 0.000 0.452 NA 0.000
#> 95118D2E-F239-4403-A19C-5F8BA2B25803 2 0.3127 0.804 0.000 0.844 0.000 0.104 NA 0.040
#> 5A1B0142-CFEF-4853-9871-5984C11C0CF3 1 0.0260 0.936 0.992 0.000 0.000 0.000 NA 0.008
#> CEBA7580-2857-4C47-AE3B-AA8F9B4A137E 2 0.3528 0.632 0.000 0.700 0.000 0.296 NA 0.000
#> E2310F9E-FBB8-4C95-9099-2DF6F97539AB 1 0.0260 0.937 0.992 0.000 0.000 0.000 NA 0.008
#> B7AEC5E2-0774-464D-A572-5CC84BEF7FEE 2 0.4318 0.297 0.000 0.532 0.000 0.448 NA 0.000
#> AEC88672-61FD-4639-81BB-E1DBFD4CDCF6 1 0.0260 0.937 0.992 0.000 0.000 0.000 NA 0.008
#> 6AF6DA76-1152-4058-8B75-0561DF5700EB 2 0.2600 0.817 0.000 0.876 0.000 0.084 NA 0.036
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#> 49BC661E-F1F9-4F89-BD90-2BE5537CE126 2 0.2562 0.727 0.000 0.828 0.000 0.000 NA 0.000
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Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
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)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
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:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.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")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
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.
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