Date: 2019-12-26 01:26:58 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 17469 rows and 309 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] 17469 309
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:kmeans | 2 | 1.000 | 0.990 | 0.996 | ** | |
SD:pam | 2 | 1.000 | 0.959 | 0.984 | ** | |
SD:mclust | 2 | 1.000 | 0.989 | 0.995 | ** | |
MAD:kmeans | 2 | 1.000 | 0.990 | 0.996 | ** | |
MAD:skmeans | 2 | 1.000 | 0.971 | 0.988 | ** | |
MAD:pam | 2 | 1.000 | 0.983 | 0.993 | ** | |
MAD:mclust | 2 | 1.000 | 0.975 | 0.991 | ** | |
ATC:mclust | 2 | 1.000 | 0.985 | 0.994 | ** | |
CV:NMF | 2 | 1.000 | 0.963 | 0.985 | ** | |
CV:kmeans | 2 | 0.986 | 0.957 | 0.982 | ** | |
ATC:kmeans | 3 | 0.984 | 0.958 | 0.983 | ** | |
CV:pam | 2 | 0.980 | 0.941 | 0.978 | ** | |
CV:mclust | 2 | 0.979 | 0.949 | 0.979 | ** | |
ATC:skmeans | 4 | 0.963 | 0.938 | 0.974 | ** | 2,3 |
ATC:NMF | 2 | 0.946 | 0.943 | 0.976 | * | |
MAD:NMF | 2 | 0.946 | 0.948 | 0.979 | * | |
SD:skmeans | 2 | 0.933 | 0.948 | 0.978 | * | |
SD:NMF | 5 | 0.923 | 0.883 | 0.948 | * | 2 |
CV:skmeans | 2 | 0.921 | 0.950 | 0.978 | * | |
SD:hclust | 3 | 0.649 | 0.811 | 0.897 | ||
ATC:pam | 2 | 0.490 | 0.888 | 0.898 | ||
ATC:hclust | 3 | 0.291 | 0.531 | 0.749 | ||
MAD:hclust | 3 | 0.158 | 0.653 | 0.778 | ||
CV:hclust | NA | NA | NA | NA |
**: 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 0.986 0.956 0.982 0.426 0.586 0.586
#> CV:NMF 2 1.000 0.963 0.985 0.423 0.575 0.575
#> MAD:NMF 2 0.946 0.948 0.979 0.459 0.542 0.542
#> ATC:NMF 2 0.946 0.943 0.976 0.442 0.565 0.565
#> SD:skmeans 2 0.933 0.948 0.978 0.482 0.515 0.515
#> CV:skmeans 2 0.921 0.950 0.978 0.450 0.542 0.542
#> MAD:skmeans 2 1.000 0.971 0.988 0.490 0.511 0.511
#> ATC:skmeans 2 1.000 0.988 0.995 0.501 0.499 0.499
#> SD:mclust 2 1.000 0.989 0.995 0.380 0.621 0.621
#> CV:mclust 2 0.979 0.949 0.979 0.421 0.583 0.583
#> MAD:mclust 2 1.000 0.975 0.991 0.383 0.625 0.625
#> ATC:mclust 2 1.000 0.985 0.994 0.381 0.621 0.621
#> SD:kmeans 2 1.000 0.990 0.996 0.393 0.609 0.609
#> CV:kmeans 2 0.986 0.957 0.982 0.381 0.612 0.612
#> MAD:kmeans 2 1.000 0.990 0.996 0.397 0.603 0.603
#> ATC:kmeans 2 0.734 0.924 0.962 0.467 0.526 0.526
#> SD:pam 2 1.000 0.959 0.984 0.349 0.648 0.648
#> CV:pam 2 0.980 0.941 0.978 0.252 0.755 0.755
#> MAD:pam 2 1.000 0.983 0.993 0.374 0.628 0.628
#> ATC:pam 2 0.490 0.888 0.898 0.442 0.544 0.544
#> SD:hclust 2 0.541 0.818 0.891 0.306 0.670 0.670
#> CV:hclust 2 0.579 0.818 0.889 0.254 0.663 0.663
#> MAD:hclust 2 0.306 0.590 0.838 0.289 0.760 0.760
#> ATC:hclust 2 0.407 0.742 0.867 0.364 0.667 0.667
get_stats(res_list, k = 3)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 3 0.868 0.888 0.953 0.502 0.734 0.562
#> CV:NMF 3 0.560 0.661 0.857 0.470 0.786 0.639
#> MAD:NMF 3 0.827 0.861 0.942 0.392 0.767 0.590
#> ATC:NMF 3 0.668 0.785 0.899 0.138 0.889 0.806
#> SD:skmeans 3 0.833 0.906 0.956 0.337 0.770 0.583
#> CV:skmeans 3 0.661 0.681 0.837 0.451 0.721 0.525
#> MAD:skmeans 3 0.742 0.804 0.905 0.330 0.765 0.573
#> ATC:skmeans 3 0.968 0.929 0.973 0.323 0.741 0.527
#> SD:mclust 3 0.700 0.873 0.922 0.670 0.721 0.555
#> CV:mclust 3 0.590 0.569 0.815 0.497 0.800 0.661
#> MAD:mclust 3 0.817 0.858 0.942 0.654 0.736 0.580
#> ATC:mclust 3 0.583 0.737 0.867 0.492 0.847 0.754
#> SD:kmeans 3 0.594 0.804 0.886 0.557 0.755 0.602
#> CV:kmeans 3 0.453 0.477 0.768 0.539 0.845 0.749
#> MAD:kmeans 3 0.602 0.750 0.875 0.580 0.750 0.592
#> ATC:kmeans 3 0.984 0.958 0.983 0.278 0.627 0.424
#> SD:pam 3 0.844 0.860 0.938 0.643 0.787 0.672
#> CV:pam 3 0.551 0.759 0.885 1.237 0.670 0.567
#> MAD:pam 3 0.674 0.669 0.854 0.631 0.797 0.676
#> ATC:pam 3 0.690 0.857 0.920 0.349 0.824 0.681
#> SD:hclust 3 0.649 0.811 0.897 0.411 0.925 0.889
#> CV:hclust 3 0.795 0.857 0.931 0.628 0.900 0.851
#> MAD:hclust 3 0.158 0.653 0.778 0.635 0.793 0.738
#> ATC:hclust 3 0.291 0.531 0.749 0.579 0.617 0.467
get_stats(res_list, k = 4)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 4 0.777 0.788 0.912 0.0907 0.885 0.703
#> CV:NMF 4 0.689 0.727 0.871 0.1522 0.817 0.581
#> MAD:NMF 4 0.777 0.813 0.912 0.0855 0.886 0.712
#> ATC:NMF 4 0.520 0.726 0.840 0.3757 0.750 0.507
#> SD:skmeans 4 0.846 0.851 0.934 0.1596 0.829 0.562
#> CV:skmeans 4 0.681 0.627 0.842 0.1368 0.837 0.578
#> MAD:skmeans 4 0.838 0.821 0.925 0.1473 0.822 0.546
#> ATC:skmeans 4 0.963 0.938 0.974 0.1280 0.809 0.511
#> SD:mclust 4 0.580 0.753 0.812 0.0599 0.967 0.911
#> CV:mclust 4 0.465 0.518 0.718 0.0905 0.748 0.465
#> MAD:mclust 4 0.671 0.700 0.792 0.1343 0.851 0.614
#> ATC:mclust 4 0.628 0.689 0.838 0.0804 0.859 0.722
#> SD:kmeans 4 0.611 0.690 0.773 0.1638 0.779 0.491
#> CV:kmeans 4 0.508 0.547 0.731 0.1683 0.795 0.595
#> MAD:kmeans 4 0.617 0.691 0.780 0.1441 0.800 0.519
#> ATC:kmeans 4 0.735 0.858 0.902 0.1988 0.768 0.484
#> SD:pam 4 0.625 0.339 0.674 0.1834 0.833 0.638
#> CV:pam 4 0.452 0.621 0.799 0.2114 0.808 0.597
#> MAD:pam 4 0.749 0.717 0.862 0.1611 0.807 0.570
#> ATC:pam 4 0.641 0.677 0.865 0.1741 0.815 0.570
#> SD:hclust 4 0.398 0.485 0.748 0.3227 0.967 0.946
#> CV:hclust 4 0.833 0.809 0.897 0.0428 0.986 0.976
#> MAD:hclust 4 0.359 0.500 0.744 0.2486 0.835 0.733
#> ATC:hclust 4 0.345 0.478 0.693 0.1365 0.772 0.522
get_stats(res_list, k = 5)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 5 0.923 0.883 0.948 0.0818 0.873 0.621
#> CV:NMF 5 0.715 0.740 0.833 0.0917 0.868 0.590
#> MAD:NMF 5 0.851 0.839 0.898 0.0860 0.856 0.594
#> ATC:NMF 5 0.676 0.729 0.856 0.1038 0.856 0.574
#> SD:skmeans 5 0.807 0.781 0.883 0.0611 0.906 0.660
#> CV:skmeans 5 0.688 0.713 0.831 0.0681 0.849 0.506
#> MAD:skmeans 5 0.827 0.784 0.896 0.0614 0.901 0.646
#> ATC:skmeans 5 0.892 0.877 0.930 0.0656 0.892 0.615
#> SD:mclust 5 0.561 0.565 0.729 0.0862 0.886 0.693
#> CV:mclust 5 0.500 0.338 0.634 0.0888 0.746 0.372
#> MAD:mclust 5 0.628 0.650 0.751 0.0370 0.907 0.678
#> ATC:mclust 5 0.694 0.785 0.868 0.1170 0.910 0.783
#> SD:kmeans 5 0.684 0.737 0.817 0.0900 0.931 0.757
#> CV:kmeans 5 0.607 0.667 0.801 0.1022 0.821 0.519
#> MAD:kmeans 5 0.729 0.730 0.796 0.0832 0.908 0.684
#> ATC:kmeans 5 0.812 0.831 0.902 0.0691 0.947 0.812
#> SD:pam 5 0.699 0.718 0.857 0.0824 0.754 0.397
#> CV:pam 5 0.498 0.560 0.738 0.1084 0.817 0.500
#> MAD:pam 5 0.667 0.603 0.787 0.0774 0.948 0.822
#> ATC:pam 5 0.688 0.707 0.840 0.1039 0.852 0.554
#> SD:hclust 5 0.382 0.413 0.646 0.1838 0.737 0.551
#> CV:hclust 5 0.683 0.778 0.861 0.0963 0.989 0.982
#> MAD:hclust 5 0.397 0.500 0.701 0.1585 0.831 0.653
#> ATC:hclust 5 0.452 0.473 0.674 0.0834 0.759 0.446
get_stats(res_list, k = 6)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 6 0.807 0.735 0.880 0.0566 0.931 0.737
#> CV:NMF 6 0.729 0.695 0.814 0.0399 0.910 0.636
#> MAD:NMF 6 0.827 0.724 0.882 0.0527 0.949 0.802
#> ATC:NMF 6 0.659 0.584 0.785 0.0518 0.927 0.712
#> SD:skmeans 6 0.774 0.760 0.858 0.0445 0.938 0.713
#> CV:skmeans 6 0.684 0.626 0.793 0.0431 0.911 0.617
#> MAD:skmeans 6 0.813 0.759 0.874 0.0461 0.933 0.694
#> ATC:skmeans 6 0.827 0.805 0.880 0.0351 0.952 0.772
#> SD:mclust 6 0.569 0.461 0.696 0.0577 0.928 0.755
#> CV:mclust 6 0.558 0.413 0.692 0.0584 0.804 0.390
#> MAD:mclust 6 0.609 0.495 0.702 0.0492 0.951 0.807
#> ATC:mclust 6 0.647 0.638 0.807 0.0741 0.924 0.781
#> SD:kmeans 6 0.681 0.601 0.761 0.0492 0.943 0.762
#> CV:kmeans 6 0.617 0.513 0.720 0.0569 0.894 0.603
#> MAD:kmeans 6 0.716 0.670 0.794 0.0505 0.933 0.723
#> ATC:kmeans 6 0.746 0.591 0.789 0.0471 0.984 0.936
#> SD:pam 6 0.674 0.657 0.793 0.1025 0.911 0.663
#> CV:pam 6 0.546 0.602 0.765 0.0357 0.954 0.805
#> MAD:pam 6 0.697 0.619 0.783 0.0699 0.877 0.556
#> ATC:pam 6 0.697 0.642 0.804 0.0274 0.972 0.877
#> SD:hclust 6 0.420 0.422 0.619 0.0986 0.752 0.431
#> CV:hclust 6 0.456 0.677 0.788 0.1223 0.992 0.985
#> MAD:hclust 6 0.454 0.478 0.659 0.0894 0.945 0.846
#> ATC:hclust 6 0.522 0.452 0.674 0.0455 0.882 0.684
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 17469 rows and 309 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 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 0.541 0.818 0.891 0.3058 0.670 0.670
#> 3 3 0.649 0.811 0.897 0.4107 0.925 0.889
#> 4 4 0.398 0.485 0.748 0.3227 0.967 0.946
#> 5 5 0.382 0.413 0.646 0.1838 0.737 0.551
#> 6 6 0.420 0.422 0.619 0.0986 0.752 0.431
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.3733 0.8844 0.928 0.072
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.2043 0.9131 0.968 0.032
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.4562 0.8693 0.904 0.096
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0672 0.9164 0.992 0.008
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0376 0.9164 0.996 0.004
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.2236 0.9113 0.964 0.036
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.8661 0.4836 0.712 0.288
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.7528 0.8751 0.216 0.784
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.4161 0.8661 0.916 0.084
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0376 0.9165 0.996 0.004
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0376 0.9164 0.996 0.004
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0376 0.9165 0.996 0.004
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.2948 0.9016 0.948 0.052
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.9393 0.7517 0.356 0.644
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.3584 0.8965 0.932 0.068
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.2778 0.9046 0.952 0.048
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.1843 0.9139 0.972 0.028
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0672 0.9170 0.992 0.008
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#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.1414 0.9161 0.980 0.020
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0000 0.9155 1.000 0.000
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.0672 0.9170 0.992 0.008
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.0938 0.9171 0.988 0.012
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0376 0.9164 0.996 0.004
#> 9EEECA0E-530D-4724-B016-A716F0782148 1 0.3431 0.8945 0.936 0.064
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.2043 0.9147 0.968 0.032
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.1633 0.7137 0.024 0.976
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 1 0.9909 -0.1142 0.556 0.444
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.3733 0.8914 0.928 0.072
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.1414 0.9148 0.980 0.020
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0672 0.9174 0.992 0.008
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.6438 0.7804 0.836 0.164
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0000 0.9155 1.000 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 1 0.9209 0.3264 0.664 0.336
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.8016 0.6151 0.756 0.244
#> DD51C17C-300F-44A4-955A-C9BC85417842 1 0.4562 0.8673 0.904 0.096
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0000 0.9155 1.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.4022 0.8711 0.920 0.080
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.9044 0.8056 0.320 0.680
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 1 0.8327 0.6023 0.736 0.264
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.7528 0.8751 0.216 0.784
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.7528 0.8751 0.216 0.784
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.7815 0.8717 0.232 0.768
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.1414 0.9161 0.980 0.020
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 1 0.5737 0.8112 0.864 0.136
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.2236 0.9146 0.964 0.036
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0000 0.9155 1.000 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0672 0.9169 0.992 0.008
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.2423 0.9099 0.960 0.040
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.2948 0.9016 0.948 0.052
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.1414 0.9166 0.980 0.020
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0376 0.9164 0.996 0.004
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.7528 0.8751 0.216 0.784
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.1843 0.9107 0.972 0.028
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.4690 0.8641 0.900 0.100
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.7950 0.6475 0.760 0.240
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 1 0.9970 -0.2398 0.532 0.468
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.8909 0.8137 0.308 0.692
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.9155 1.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.9710 0.6777 0.400 0.600
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.8144 0.8627 0.252 0.748
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0938 0.9167 0.988 0.012
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0938 0.9167 0.988 0.012
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.7745 0.8640 0.228 0.772
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.7528 0.8751 0.216 0.784
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.4161 0.8804 0.916 0.084
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.9155 1.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0000 0.9155 1.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.9393 0.7549 0.356 0.644
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0938 0.9175 0.988 0.012
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.9710 0.6777 0.400 0.600
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0938 0.9165 0.988 0.012
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.9155 1.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.3733 0.8933 0.928 0.072
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.1633 0.9152 0.976 0.024
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.9155 1.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.7602 0.8748 0.220 0.780
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.9155 1.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.1633 0.9171 0.976 0.024
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0000 0.9155 1.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.2043 0.9142 0.968 0.032
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.1184 0.9174 0.984 0.016
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.9155 1.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0000 0.9155 1.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.2043 0.9099 0.968 0.032
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.1184 0.9174 0.984 0.016
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.1184 0.9170 0.984 0.016
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.4690 0.8658 0.900 0.100
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.2043 0.9145 0.968 0.032
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.7602 0.8748 0.220 0.780
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.1843 0.9103 0.972 0.028
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.2948 0.9013 0.948 0.052
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.9155 1.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.9155 1.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.9155 1.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.7453 0.8720 0.212 0.788
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.3431 0.8945 0.936 0.064
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 1 0.9815 0.1927 0.580 0.420
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.3274 0.8985 0.940 0.060
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 1 1.0000 -0.4546 0.500 0.500
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.3114 0.8978 0.944 0.056
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.1843 0.9155 0.972 0.028
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0376 0.9165 0.996 0.004
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.9155 1.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.9427 0.7489 0.360 0.640
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.9155 1.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 1 0.9909 -0.1142 0.556 0.444
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.1633 0.9156 0.976 0.024
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.9286 0.4235 0.656 0.344
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.4161 0.8779 0.916 0.084
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.2603 0.9019 0.956 0.044
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.3584 0.8965 0.932 0.068
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.2603 0.9036 0.956 0.044
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.1184 0.9169 0.984 0.016
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.1843 0.9139 0.972 0.028
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.2236 0.9133 0.964 0.036
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.3584 0.8965 0.932 0.068
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0672 0.9170 0.992 0.008
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0376 0.9165 0.996 0.004
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0376 0.9164 0.996 0.004
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.7528 0.8751 0.216 0.784
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.7528 0.8751 0.216 0.784
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.2043 0.9131 0.968 0.032
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.1414 0.9178 0.980 0.020
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0672 0.9164 0.992 0.008
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.9155 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.6685 0.6272 0.708 0.048 0.244
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.1711 0.9294 0.960 0.008 0.032
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.3791 0.8917 0.892 0.048 0.060
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0592 0.9344 0.988 0.000 0.012
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0661 0.9345 0.988 0.004 0.008
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.1399 0.9327 0.968 0.004 0.028
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.7298 0.5932 0.692 0.220 0.088
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.1129 0.7872 0.020 0.976 0.004
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.4092 0.8695 0.876 0.036 0.088
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0592 0.9333 0.988 0.000 0.012
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.1015 0.9335 0.980 0.008 0.012
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.1529 0.9308 0.960 0.000 0.040
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.2229 0.9242 0.944 0.012 0.044
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.6950 0.0703 0.020 0.572 0.408
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.2651 0.9170 0.928 0.012 0.060
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.2492 0.9206 0.936 0.016 0.048
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.1711 0.9289 0.960 0.008 0.032
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0424 0.9335 0.992 0.000 0.008
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0747 0.9336 0.984 0.000 0.016
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0983 0.9319 0.980 0.004 0.016
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0892 0.7876 0.020 0.980 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0747 0.9330 0.984 0.000 0.016
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0592 0.9329 0.988 0.000 0.012
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0747 0.9345 0.984 0.000 0.016
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.1711 0.9294 0.960 0.008 0.032
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.1399 0.9322 0.968 0.004 0.028
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.2492 0.9206 0.936 0.016 0.048
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.1129 0.9346 0.976 0.004 0.020
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0892 0.7876 0.020 0.980 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.3083 0.7251 0.060 0.916 0.024
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0661 0.9342 0.988 0.004 0.008
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.4269 0.8659 0.872 0.052 0.076
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0592 0.9333 0.988 0.000 0.012
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0424 0.9327 0.992 0.000 0.008
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 1 0.8054 0.3021 0.580 0.340 0.080
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.3791 0.8916 0.892 0.048 0.060
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.7726 0.5499 0.676 0.192 0.132
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.1129 0.7867 0.020 0.976 0.004
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0747 0.9330 0.984 0.000 0.016
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0829 0.9332 0.984 0.004 0.012
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.8476 -0.1144 0.108 0.560 0.332
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.1525 0.9300 0.964 0.004 0.032
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.2492 0.9206 0.936 0.016 0.048
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.1529 0.9308 0.960 0.000 0.040
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.0592 0.9329 0.988 0.000 0.012
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.1267 0.9329 0.972 0.004 0.024
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.2446 0.9189 0.936 0.012 0.052
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.1129 0.7872 0.020 0.976 0.004
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.1525 0.9300 0.964 0.004 0.032
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 3 0.7276 0.7289 0.104 0.192 0.704
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.1289 0.9319 0.968 0.000 0.032
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.6819 0.3427 0.028 0.644 0.328
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.1163 0.9310 0.972 0.000 0.028
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.3045 0.9088 0.916 0.020 0.064
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0747 0.9330 0.984 0.000 0.016
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.4712 0.8494 0.848 0.044 0.108
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 1 0.6546 0.6671 0.716 0.044 0.240
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.4357 0.8621 0.868 0.052 0.080
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.3213 0.7555 0.028 0.912 0.060
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0424 0.9327 0.992 0.000 0.008
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.1015 0.9345 0.980 0.008 0.012
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.4316 0.8538 0.868 0.044 0.088
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.4575 0.8117 0.828 0.012 0.160
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0424 0.9335 0.992 0.000 0.008
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0892 0.7876 0.020 0.980 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 1 0.6141 0.7065 0.736 0.032 0.232
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.1289 0.9319 0.968 0.000 0.032
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.0829 0.9345 0.984 0.004 0.012
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 1 0.5461 0.7501 0.768 0.016 0.216
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#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 3 0.7366 0.3521 0.032 0.444 0.524
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.2590 0.7106 0.072 0.924 0.004
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0747 0.9330 0.984 0.000 0.016
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0747 0.9330 0.984 0.000 0.016
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.4602 0.6617 0.016 0.832 0.152
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0892 0.7876 0.020 0.980 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.3649 0.8956 0.896 0.036 0.068
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0592 0.9329 0.988 0.000 0.012
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0592 0.9329 0.988 0.000 0.012
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.6818 0.2396 0.024 0.628 0.348
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0592 0.9342 0.988 0.000 0.012
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 3 0.7366 0.3521 0.032 0.444 0.524
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0661 0.9347 0.988 0.008 0.004
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0592 0.9329 0.988 0.000 0.012
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.2749 0.9149 0.924 0.012 0.064
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.1315 0.9329 0.972 0.008 0.020
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0592 0.9329 0.988 0.000 0.012
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.1315 0.7862 0.020 0.972 0.008
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0592 0.9329 0.988 0.000 0.012
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.1267 0.9353 0.972 0.004 0.024
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0424 0.9327 0.992 0.000 0.008
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.1482 0.9320 0.968 0.012 0.020
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.1399 0.9326 0.968 0.004 0.028
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0424 0.9327 0.992 0.000 0.008
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0592 0.9337 0.988 0.000 0.012
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.2176 0.9295 0.948 0.020 0.032
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.1399 0.9326 0.968 0.004 0.028
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.1170 0.9347 0.976 0.008 0.016
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.3649 0.8958 0.896 0.036 0.068
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.1267 0.9329 0.972 0.004 0.024
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.1482 0.7858 0.020 0.968 0.012
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.1751 0.9310 0.960 0.012 0.028
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.6380 0.6585 0.732 0.044 0.224
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0592 0.9329 0.988 0.000 0.012
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0424 0.9327 0.992 0.000 0.008
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0424 0.9327 0.992 0.000 0.008
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.1781 0.7819 0.020 0.960 0.020
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.3550 0.8925 0.896 0.024 0.080
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 1 0.8597 0.3591 0.576 0.132 0.292
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.3112 0.9100 0.916 0.028 0.056
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.7620 -0.0199 0.348 0.596 0.056
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.2689 0.9189 0.932 0.032 0.036
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.4692 0.8013 0.820 0.012 0.168
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0592 0.9333 0.988 0.000 0.012
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0592 0.9329 0.988 0.000 0.012
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.7169 0.0444 0.028 0.568 0.404
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0424 0.9327 0.992 0.000 0.008
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 3 0.5473 0.6942 0.140 0.052 0.808
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.2860 0.9068 0.912 0.004 0.084
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.7523 0.5429 0.660 0.080 0.260
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.4712 0.8494 0.848 0.044 0.108
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.2434 0.9236 0.940 0.036 0.024
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.2651 0.9170 0.928 0.012 0.060
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.1832 0.9284 0.956 0.008 0.036
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.1525 0.9349 0.964 0.004 0.032
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.1585 0.9298 0.964 0.008 0.028
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.1905 0.9292 0.956 0.028 0.016
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.2651 0.9170 0.928 0.012 0.060
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0747 0.9340 0.984 0.000 0.016
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0592 0.9333 0.988 0.000 0.012
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0424 0.9335 0.992 0.000 0.008
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0892 0.7876 0.020 0.980 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.1315 0.7866 0.020 0.972 0.008
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.1711 0.9294 0.960 0.008 0.032
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.1031 0.9348 0.976 0.000 0.024
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0829 0.9348 0.984 0.004 0.012
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0424 0.9327 0.992 0.000 0.008
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.7706 -0.2735 0.464 0.008 0.176 0.352
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.4655 0.5686 0.760 0.000 0.208 0.032
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.5633 0.4686 0.704 0.024 0.244 0.028
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.2408 0.6464 0.896 0.000 0.104 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.2466 0.6517 0.900 0.004 0.096 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.5154 0.3573 0.660 0.004 0.324 0.012
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.8070 -0.0104 0.568 0.200 0.168 0.064
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0188 0.7553 0.000 0.996 0.000 0.004
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.6988 -0.2636 0.496 0.044 0.424 0.036
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.1940 0.6399 0.924 0.000 0.076 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.3768 0.5748 0.808 0.008 0.184 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.3279 0.6294 0.872 0.000 0.096 0.032
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.5067 0.5171 0.736 0.004 0.224 0.036
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.5698 0.0397 0.004 0.560 0.020 0.416
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.4675 0.4834 0.736 0.000 0.244 0.020
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.5201 0.5328 0.732 0.004 0.220 0.044
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.4238 0.6056 0.796 0.000 0.176 0.028
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.2011 0.6417 0.920 0.000 0.080 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.3528 0.5655 0.808 0.000 0.192 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.4194 0.5875 0.764 0.000 0.228 0.008
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.7557 0.000 1.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.3074 0.6105 0.848 0.000 0.152 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.3266 0.5871 0.832 0.000 0.168 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.2345 0.6309 0.900 0.000 0.100 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.4524 0.5839 0.768 0.000 0.204 0.028
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.3688 0.6029 0.792 0.000 0.208 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.5047 0.5346 0.744 0.004 0.212 0.040
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.3300 0.6428 0.848 0.000 0.144 0.008
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.7557 0.000 1.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.2432 0.7209 0.024 0.928 0.028 0.020
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.4122 0.4961 0.760 0.004 0.236 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.7228 -0.2651 0.496 0.060 0.408 0.036
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.2149 0.6357 0.912 0.000 0.088 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.2530 0.6222 0.888 0.000 0.112 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 1 0.8266 -0.2945 0.480 0.324 0.148 0.048
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.5683 0.4878 0.720 0.032 0.216 0.032
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.8149 -0.4981 0.436 0.156 0.376 0.032
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0188 0.7550 0.000 0.996 0.004 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.3172 0.6094 0.840 0.000 0.160 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.3494 0.5883 0.824 0.004 0.172 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.4994 -0.1095 0.000 0.520 0.000 0.480
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.4163 0.6083 0.792 0.000 0.188 0.020
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.5166 0.5332 0.736 0.004 0.216 0.044
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.3279 0.6294 0.872 0.000 0.096 0.032
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.3908 0.5375 0.784 0.000 0.212 0.004
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.3907 0.5588 0.768 0.000 0.232 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.5331 0.4801 0.716 0.016 0.244 0.024
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0188 0.7553 0.000 0.996 0.000 0.004
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.4245 0.6069 0.784 0.000 0.196 0.020
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.2973 0.7656 0.000 0.144 0.000 0.856
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.2984 0.6402 0.888 0.000 0.084 0.028
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.6409 0.2970 0.008 0.616 0.072 0.304
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.4307 0.5720 0.784 0.000 0.192 0.024
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.5803 0.4578 0.708 0.012 0.216 0.064
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.3219 0.6074 0.836 0.000 0.164 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.7265 0.1126 0.588 0.012 0.220 0.180
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 1 0.6065 -0.2217 0.532 0.004 0.428 0.036
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.7238 -0.2873 0.488 0.060 0.416 0.036
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.2814 0.7170 0.008 0.908 0.032 0.052
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.2345 0.6359 0.900 0.000 0.100 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.4508 0.5061 0.744 0.008 0.244 0.004
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.6673 0.1348 0.636 0.004 0.160 0.200
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.6788 0.1470 0.608 0.000 0.188 0.204
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.2011 0.6406 0.920 0.000 0.080 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.7557 0.000 1.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 1 0.6484 -0.1052 0.552 0.016 0.388 0.044
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.2984 0.6402 0.888 0.000 0.084 0.028
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.3791 0.5791 0.796 0.004 0.200 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 1 0.5896 0.0107 0.576 0.004 0.388 0.032
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.5698 0.0397 0.004 0.560 0.020 0.416
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.3528 0.5673 0.808 0.000 0.192 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.3908 0.5342 0.784 0.000 0.212 0.004
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.4355 0.5892 0.772 0.004 0.212 0.012
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.1474 0.6401 0.948 0.000 0.052 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.3215 0.6285 0.876 0.000 0.092 0.032
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.3873 0.5089 0.772 0.000 0.228 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.3626 0.5976 0.812 0.000 0.184 0.004
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.7557 0.000 1.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 1 0.5822 0.0171 0.576 0.004 0.392 0.028
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.1209 0.7354 0.000 0.032 0.004 0.964
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.3831 0.5897 0.792 0.000 0.204 0.004
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 2 0.7973 0.1739 0.124 0.448 0.392 0.036
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.3528 0.5673 0.808 0.000 0.192 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.3219 0.5779 0.836 0.000 0.164 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.3266 0.5935 0.832 0.000 0.168 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.4482 0.5832 0.804 0.000 0.128 0.068
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.3803 0.6355 0.836 0.000 0.132 0.032
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.5433 -0.0596 0.004 0.540 0.008 0.448
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0524 0.7542 0.000 0.988 0.004 0.008
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 1 0.5025 0.5762 0.752 0.016 0.208 0.024
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.4722 0.5902 0.748 0.020 0.228 0.004
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.3810 0.6121 0.804 0.000 0.188 0.008
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 4 0.4188 0.7109 0.000 0.244 0.004 0.752
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.3853 0.6235 0.820 0.000 0.160 0.020
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.7238 -0.2873 0.488 0.060 0.416 0.036
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.4053 0.5102 0.768 0.004 0.228 0.000
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#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0336 0.7544 0.000 0.992 0.000 0.008
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.3870 0.5425 0.788 0.000 0.208 0.004
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.3450 0.6478 0.836 0.000 0.156 0.008
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.3486 0.5799 0.812 0.000 0.188 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.3982 0.5419 0.776 0.000 0.220 0.004
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.3439 0.6254 0.868 0.000 0.084 0.048
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.2011 0.6404 0.920 0.000 0.080 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.2704 0.6458 0.876 0.000 0.124 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.3983 0.6213 0.828 0.008 0.144 0.020
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.3439 0.6244 0.868 0.000 0.084 0.048
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.3591 0.6413 0.824 0.000 0.168 0.008
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.4883 0.4140 0.696 0.000 0.288 0.016
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.3907 0.5588 0.768 0.000 0.232 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0524 0.7542 0.000 0.988 0.004 0.008
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.3105 0.6070 0.868 0.000 0.120 0.012
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.7427 -0.2121 0.504 0.004 0.164 0.328
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.3444 0.5717 0.816 0.000 0.184 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.2704 0.6290 0.876 0.000 0.124 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.3219 0.5779 0.836 0.000 0.164 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0895 0.7495 0.000 0.976 0.020 0.004
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.6084 0.4359 0.696 0.012 0.204 0.088
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.7316 0.3804 0.408 0.052 0.492 0.048
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.5980 0.4350 0.696 0.020 0.228 0.056
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.7429 0.2682 0.176 0.608 0.184 0.032
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.4470 0.6197 0.824 0.032 0.116 0.028
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.6555 0.1800 0.632 0.000 0.156 0.212
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.2011 0.6434 0.920 0.000 0.080 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.3528 0.5628 0.808 0.000 0.192 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.5928 0.0583 0.004 0.564 0.032 0.400
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.2281 0.6438 0.904 0.000 0.096 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.0188 0.7245 0.000 0.000 0.004 0.996
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.4827 0.5587 0.784 0.000 0.124 0.092
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.5503 0.3360 0.468 0.000 0.516 0.016
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.7265 0.1126 0.588 0.012 0.220 0.180
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.4044 0.5886 0.820 0.024 0.152 0.004
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.4964 0.4585 0.716 0.000 0.256 0.028
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.3219 0.5970 0.836 0.000 0.164 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.2676 0.6366 0.896 0.000 0.092 0.012
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.4004 0.6211 0.812 0.000 0.164 0.024
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.4947 0.5882 0.752 0.024 0.212 0.012
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.4964 0.4585 0.716 0.000 0.256 0.028
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.3925 0.6339 0.808 0.000 0.176 0.016
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.1792 0.6418 0.932 0.000 0.068 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.3444 0.5738 0.816 0.000 0.184 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.7557 0.000 1.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0336 0.7547 0.000 0.992 0.000 0.008
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.4406 0.6050 0.780 0.000 0.192 0.028
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.2530 0.6333 0.896 0.000 0.100 0.004
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.4088 0.5201 0.764 0.004 0.232 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.2281 0.6335 0.904 0.000 0.096 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.7631 0.2216 0.456 0.008 0.108 0.332 0.096
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.5197 0.4872 0.712 0.000 0.080 0.020 0.188
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.3759 0.5176 0.828 0.008 0.084 0.000 0.080
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.4538 0.3416 0.620 0.000 0.016 0.000 0.364
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.4945 0.1191 0.536 0.004 0.020 0.000 0.440
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.6084 0.4819 0.208 0.000 0.220 0.000 0.572
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.5625 0.3735 0.692 0.188 0.092 0.020 0.008
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0162 0.8049 0.000 0.996 0.000 0.004 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.5559 -0.2753 0.052 0.004 0.392 0.004 0.548
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.4269 0.4383 0.684 0.000 0.016 0.000 0.300
#> B710293C-41D3-4A2E-8104-5402F91DD859 5 0.4503 0.5396 0.268 0.000 0.036 0.000 0.696
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.5427 0.3057 0.580 0.000 0.024 0.028 0.368
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.3942 0.5377 0.824 0.000 0.068 0.020 0.088
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.5603 0.0239 0.000 0.528 0.024 0.416 0.032
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.2514 0.5350 0.896 0.000 0.060 0.000 0.044
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.4129 0.5338 0.808 0.000 0.060 0.020 0.112
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.5322 0.4388 0.664 0.000 0.068 0.012 0.256
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.4494 0.3416 0.608 0.000 0.012 0.000 0.380
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.4014 0.5371 0.256 0.000 0.016 0.000 0.728
#> C204D355-B876-4341-A111-36D48CBDD2A8 5 0.5485 0.3192 0.400 0.000 0.056 0.004 0.540
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.8050 0.000 1.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.3689 0.4849 0.740 0.000 0.004 0.000 0.256
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 5 0.4283 0.4509 0.348 0.000 0.008 0.000 0.644
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.4040 0.4709 0.712 0.000 0.012 0.000 0.276
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.5293 0.4585 0.692 0.000 0.080 0.016 0.212
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.4763 0.4331 0.632 0.000 0.032 0.000 0.336
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.4111 0.5299 0.808 0.000 0.068 0.016 0.108
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.5132 0.3623 0.612 0.000 0.036 0.008 0.344
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.8050 0.000 1.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.3085 0.7480 0.024 0.888 0.040 0.012 0.036
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 5 0.4488 0.5652 0.188 0.004 0.060 0.000 0.748
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.5426 -0.2775 0.040 0.008 0.368 0.004 0.580
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.4029 0.4333 0.680 0.000 0.004 0.000 0.316
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 5 0.4627 0.1495 0.444 0.000 0.012 0.000 0.544
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 1 0.5902 0.1267 0.588 0.312 0.084 0.016 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.3476 0.5311 0.860 0.024 0.072 0.004 0.040
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.8519 -0.3758 0.280 0.088 0.280 0.020 0.332
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0162 0.8041 0.000 0.996 0.004 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.3662 0.4878 0.744 0.000 0.004 0.000 0.252
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 5 0.4457 0.4142 0.368 0.000 0.012 0.000 0.620
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.4591 -0.0976 0.000 0.516 0.004 0.476 0.004
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.5140 0.4005 0.652 0.000 0.060 0.004 0.284
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.4255 0.5330 0.800 0.000 0.068 0.020 0.112
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.5427 0.3057 0.580 0.000 0.024 0.028 0.368
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 5 0.4644 0.5147 0.280 0.000 0.040 0.000 0.680
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.3804 0.5200 0.796 0.000 0.044 0.000 0.160
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 5 0.6131 0.4421 0.228 0.000 0.208 0.000 0.564
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0162 0.8049 0.000 0.996 0.000 0.004 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.5180 0.3865 0.644 0.000 0.060 0.004 0.292
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.2674 0.7480 0.000 0.140 0.004 0.856 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.5398 0.2885 0.564 0.000 0.028 0.020 0.388
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.6568 0.2260 0.004 0.560 0.092 0.304 0.040
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.3950 0.5456 0.816 0.000 0.052 0.016 0.116
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.3930 0.5315 0.844 0.012 0.044 0.056 0.044
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.3635 0.4914 0.748 0.000 0.004 0.000 0.248
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.4769 0.4459 0.768 0.008 0.060 0.144 0.020
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 1 0.5903 0.3749 0.608 0.000 0.280 0.016 0.096
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 5 0.5391 -0.2884 0.036 0.008 0.380 0.004 0.572
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.3764 0.7324 0.004 0.848 0.056 0.052 0.040
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.4557 0.0992 0.516 0.000 0.008 0.000 0.476
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.5375 0.5495 0.220 0.004 0.108 0.000 0.668
#> 09758B6F-1B2D-4AED-8913-696097069409 5 0.7761 0.0722 0.324 0.004 0.068 0.188 0.416
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.7773 0.0749 0.400 0.000 0.080 0.192 0.328
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.4444 0.3677 0.624 0.000 0.012 0.000 0.364
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.8050 0.000 1.000 0.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 1 0.4570 0.4055 0.712 0.008 0.256 0.012 0.012
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.5398 0.2885 0.564 0.000 0.028 0.020 0.388
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 5 0.4608 0.4869 0.336 0.000 0.024 0.000 0.640
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 1 0.5280 0.4339 0.676 0.000 0.240 0.012 0.072
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.5603 0.0239 0.000 0.528 0.024 0.416 0.032
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 5 0.4820 0.4817 0.332 0.000 0.036 0.000 0.632
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 5 0.4527 0.5418 0.260 0.000 0.040 0.000 0.700
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 5 0.5524 0.3332 0.392 0.000 0.052 0.008 0.548
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.4313 0.3722 0.636 0.000 0.008 0.000 0.356
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.5438 0.2941 0.576 0.000 0.024 0.028 0.372
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 5 0.3977 0.5716 0.204 0.000 0.032 0.000 0.764
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 5 0.5045 0.5215 0.308 0.000 0.056 0.000 0.636
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.8050 0.000 1.000 0.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 1 0.5250 0.4314 0.668 0.000 0.252 0.008 0.072
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.1202 0.6948 0.000 0.032 0.004 0.960 0.004
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.3882 0.5253 0.756 0.000 0.020 0.000 0.224
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.6743 0.2794 0.136 0.372 0.472 0.008 0.012
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 5 0.4820 0.4817 0.332 0.000 0.036 0.000 0.632
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 5 0.4306 0.4676 0.328 0.000 0.012 0.000 0.660
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 5 0.4313 0.4432 0.356 0.000 0.008 0.000 0.636
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.6557 0.1093 0.480 0.000 0.068 0.052 0.400
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.5696 0.2156 0.548 0.000 0.036 0.028 0.388
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.5454 -0.0903 0.000 0.504 0.012 0.448 0.036
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0451 0.8035 0.000 0.988 0.008 0.004 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 1 0.4832 0.4679 0.712 0.004 0.068 0.000 0.216
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.5394 0.2512 0.580 0.008 0.048 0.000 0.364
#> D47D0936-826F-4D54-9225-F71B95357438 5 0.5068 0.3886 0.388 0.000 0.040 0.000 0.572
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 4 0.3706 0.7126 0.000 0.236 0.004 0.756 0.004
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.5849 0.2087 0.540 0.000 0.080 0.008 0.372
#> D587A993-3C47-4D4C-B744-59169D4F7451 5 0.5391 -0.2884 0.036 0.008 0.380 0.004 0.572
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 5 0.4773 0.5680 0.216 0.004 0.064 0.000 0.716
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.3476 0.5311 0.860 0.024 0.072 0.004 0.040
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.7843 0.1862 0.412 0.000 0.088 0.300 0.200
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 5 0.6519 0.3835 0.340 0.016 0.108 0.008 0.528
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 1 0.4111 0.5299 0.808 0.000 0.068 0.016 0.108
#> 00439565-02CE-4BF5-956D-7078B51C0947 1 0.2761 0.5120 0.872 0.000 0.104 0.000 0.024
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.8050 0.000 1.000 0.000 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.8050 0.000 1.000 0.000 0.000 0.000
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#> 54504893-92C5-4328-85A8-2A882680B5E0 5 0.5604 0.3059 0.404 0.000 0.056 0.008 0.532
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 5 0.4524 0.4765 0.336 0.000 0.020 0.000 0.644
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0324 0.8043 0.000 0.992 0.004 0.004 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 5 0.4520 0.5122 0.284 0.000 0.032 0.000 0.684
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.4752 0.2984 0.568 0.000 0.020 0.000 0.412
#> D365A238-4739-4B54-9608-DC548F21C04E 5 0.4165 0.4945 0.320 0.000 0.008 0.000 0.672
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.3262 0.5376 0.840 0.000 0.036 0.000 0.124
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.5873 0.2053 0.520 0.000 0.036 0.036 0.408
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.4533 0.1737 0.544 0.000 0.008 0.000 0.448
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.4717 0.3174 0.584 0.000 0.020 0.000 0.396
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.5209 0.4037 0.628 0.004 0.044 0.004 0.320
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.5943 0.1845 0.512 0.000 0.040 0.036 0.412
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.5250 0.1466 0.536 0.000 0.048 0.000 0.416
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.2813 0.5157 0.868 0.000 0.108 0.000 0.024
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.3804 0.5200 0.796 0.000 0.044 0.000 0.160
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0451 0.8035 0.000 0.988 0.008 0.004 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.3958 0.5333 0.776 0.000 0.040 0.000 0.184
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.8035 0.1749 0.400 0.004 0.096 0.308 0.192
#> 9AF0E82E-E621-437A-8D19-700532B95090 5 0.4270 0.4952 0.320 0.000 0.012 0.000 0.668
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 5 0.4811 0.1530 0.452 0.000 0.020 0.000 0.528
#> EFE5A302-D138-4044-A301-5C5FD1C24836 5 0.4306 0.4676 0.328 0.000 0.012 0.000 0.660
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.1455 0.7907 0.000 0.952 0.032 0.008 0.008
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.4445 0.5191 0.812 0.012 0.052 0.080 0.044
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 1 0.5527 0.0830 0.576 0.040 0.368 0.012 0.004
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.3601 0.5334 0.864 0.020 0.028 0.044 0.044
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.7006 0.1530 0.036 0.568 0.188 0.012 0.196
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.6721 0.2682 0.516 0.028 0.068 0.024 0.364
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.7751 0.1033 0.400 0.000 0.076 0.196 0.328
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.4416 0.3673 0.632 0.000 0.012 0.000 0.356
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 5 0.4297 0.5249 0.288 0.000 0.020 0.000 0.692
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.5860 0.0347 0.000 0.528 0.036 0.400 0.036
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.4897 0.1024 0.516 0.000 0.024 0.000 0.460
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.0324 0.6754 0.000 0.000 0.004 0.992 0.004
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.6691 0.3204 0.548 0.000 0.072 0.076 0.304
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.5030 0.2079 0.604 0.000 0.352 0.000 0.044
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.4769 0.4459 0.768 0.008 0.060 0.144 0.020
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.4818 0.4993 0.700 0.020 0.028 0.000 0.252
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.2141 0.5247 0.916 0.000 0.064 0.004 0.016
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.4890 0.4362 0.628 0.000 0.040 0.000 0.332
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.4754 0.4391 0.660 0.000 0.024 0.008 0.308
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.5770 0.3255 0.584 0.000 0.076 0.012 0.328
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.5930 -0.0544 0.500 0.012 0.060 0.004 0.424
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.2141 0.5247 0.916 0.000 0.064 0.004 0.016
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.4622 0.5066 0.700 0.000 0.024 0.012 0.264
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.4457 0.3495 0.620 0.000 0.012 0.000 0.368
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.4584 0.5079 0.312 0.000 0.028 0.000 0.660
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.8050 0.000 1.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0451 0.8044 0.000 0.988 0.004 0.008 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.5817 0.3676 0.608 0.000 0.084 0.016 0.292
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.3934 0.5041 0.740 0.000 0.016 0.000 0.244
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.5042 0.5634 0.256 0.004 0.064 0.000 0.676
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 5 0.4740 0.0881 0.468 0.000 0.016 0.000 0.516
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.8621 0.12879 0.120 0.004 0.304 0.296 0.148 0.128
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.7033 0.23618 0.332 0.000 0.420 0.004 0.096 0.148
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.4704 0.58289 0.120 0.000 0.732 0.000 0.032 0.116
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.4890 0.20878 0.516 0.000 0.436 0.000 0.036 0.012
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.4832 0.42389 0.608 0.000 0.324 0.000 0.064 0.004
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.4727 0.13399 0.560 0.000 0.024 0.000 0.400 0.016
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.5908 0.40192 0.040 0.160 0.648 0.004 0.016 0.132
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0146 0.77185 0.000 0.996 0.000 0.004 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.3104 0.74227 0.204 0.000 0.004 0.000 0.788 0.004
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.4731 0.15632 0.492 0.000 0.472 0.000 0.020 0.016
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.4271 0.54821 0.744 0.000 0.072 0.000 0.172 0.012
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.5844 0.37138 0.568 0.000 0.316 0.016 0.064 0.036
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.5589 0.53568 0.140 0.000 0.652 0.004 0.040 0.164
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.5947 -0.02744 0.000 0.444 0.004 0.440 0.064 0.048
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.2872 0.58669 0.076 0.000 0.864 0.000 0.008 0.052
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.6185 0.46776 0.204 0.000 0.584 0.004 0.056 0.152
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.6818 -0.00079 0.432 0.000 0.340 0.000 0.096 0.132
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.4751 0.28609 0.556 0.000 0.400 0.000 0.036 0.008
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.4091 0.52299 0.772 0.000 0.064 0.000 0.144 0.020
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.5824 0.47342 0.640 0.000 0.128 0.000 0.140 0.092
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.77196 0.000 1.000 0.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 3 0.3857 0.02515 0.468 0.000 0.532 0.000 0.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.3207 0.55984 0.844 0.000 0.092 0.000 0.048 0.016
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 3 0.4703 0.05187 0.432 0.000 0.532 0.000 0.020 0.016
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.7045 -0.13233 0.376 0.000 0.364 0.000 0.108 0.152
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 3 0.5475 0.15575 0.404 0.000 0.500 0.000 0.080 0.016
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.5990 0.46928 0.212 0.000 0.588 0.000 0.048 0.152
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.5917 0.24183 0.512 0.000 0.360 0.000 0.052 0.076
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.77196 0.000 1.000 0.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.4497 0.63610 0.004 0.784 0.024 0.028 0.088 0.072
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.3627 0.39910 0.752 0.000 0.004 0.000 0.224 0.020
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.3450 0.74496 0.208 0.000 0.008 0.000 0.772 0.012
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.4471 0.16615 0.532 0.000 0.444 0.000 0.016 0.008
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.4089 0.53019 0.744 0.000 0.204 0.000 0.032 0.020
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 3 0.6013 0.12005 0.020 0.284 0.568 0.004 0.012 0.112
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.4812 0.58896 0.132 0.008 0.736 0.004 0.020 0.100
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.8215 0.33732 0.152 0.028 0.216 0.024 0.412 0.168
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0291 0.76960 0.000 0.992 0.004 0.000 0.000 0.004
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 3 0.3979 0.05536 0.456 0.000 0.540 0.000 0.000 0.004
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.4062 0.55973 0.772 0.000 0.144 0.000 0.068 0.016
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 4 0.4471 0.00061 0.000 0.472 0.000 0.500 0.000 0.028
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.6690 -0.03719 0.404 0.000 0.392 0.000 0.096 0.108
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.6077 0.47798 0.200 0.000 0.596 0.004 0.052 0.148
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.5844 0.37138 0.568 0.000 0.316 0.016 0.064 0.036
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.3914 0.56056 0.800 0.000 0.052 0.000 0.108 0.040
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 3 0.4548 0.44711 0.260 0.000 0.676 0.000 0.056 0.008
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.5234 0.17076 0.532 0.000 0.060 0.000 0.392 0.016
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0146 0.77185 0.000 0.996 0.000 0.004 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.6720 -0.02115 0.404 0.000 0.388 0.000 0.100 0.108
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.2196 0.57201 0.000 0.108 0.000 0.884 0.004 0.004
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.5730 0.37308 0.560 0.000 0.336 0.012 0.052 0.040
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.7010 0.08166 0.000 0.444 0.012 0.324 0.080 0.140
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.5389 0.52716 0.148 0.000 0.676 0.004 0.040 0.132
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.5047 0.56268 0.080 0.000 0.748 0.036 0.072 0.064
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 3 0.3979 0.06375 0.456 0.000 0.540 0.000 0.000 0.004
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.5793 0.53289 0.040 0.000 0.664 0.120 0.028 0.148
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.6315 0.40553 0.156 0.000 0.420 0.000 0.032 0.392
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 5 0.3292 0.74684 0.200 0.000 0.008 0.000 0.784 0.008
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.4884 0.58575 0.000 0.748 0.012 0.072 0.076 0.092
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.4077 0.47010 0.692 0.000 0.280 0.000 0.016 0.012
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.4656 0.36541 0.660 0.000 0.044 0.000 0.280 0.016
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.8258 0.26469 0.408 0.004 0.196 0.168 0.156 0.068
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.8296 0.13960 0.396 0.000 0.196 0.164 0.156 0.088
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.4740 0.26299 0.544 0.000 0.416 0.000 0.028 0.012
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.77196 0.000 1.000 0.000 0.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.5022 0.42602 0.040 0.000 0.584 0.000 0.024 0.352
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.5730 0.37308 0.560 0.000 0.336 0.012 0.052 0.040
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.5195 0.54156 0.696 0.000 0.116 0.000 0.132 0.056
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.6026 0.46820 0.112 0.000 0.520 0.000 0.040 0.328
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.5947 -0.02744 0.000 0.444 0.004 0.440 0.064 0.048
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.4793 0.51910 0.712 0.000 0.136 0.000 0.132 0.020
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.3785 0.55688 0.804 0.000 0.040 0.000 0.120 0.036
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.5918 0.48460 0.628 0.000 0.140 0.000 0.144 0.088
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.4357 0.27282 0.560 0.000 0.420 0.000 0.008 0.012
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.5879 0.37522 0.568 0.000 0.312 0.016 0.068 0.036
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.3852 0.45346 0.764 0.000 0.020 0.000 0.192 0.024
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.4532 0.53534 0.728 0.000 0.068 0.000 0.180 0.024
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.77196 0.000 1.000 0.000 0.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.6177 0.46426 0.112 0.000 0.512 0.000 0.052 0.324
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.1875 0.53365 0.000 0.032 0.000 0.928 0.020 0.020
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 3 0.4616 0.29990 0.360 0.000 0.596 0.000 0.040 0.004
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 6 0.5745 0.73050 0.004 0.200 0.128 0.004 0.032 0.632
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.4793 0.51910 0.712 0.000 0.136 0.000 0.132 0.020
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.3594 0.57047 0.820 0.000 0.100 0.000 0.056 0.024
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.3304 0.56019 0.836 0.000 0.100 0.000 0.048 0.016
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.6731 0.39950 0.560 0.000 0.212 0.036 0.136 0.056
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.5975 0.41293 0.572 0.000 0.296 0.016 0.076 0.040
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 4 0.5886 0.08177 0.000 0.416 0.004 0.472 0.064 0.044
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.1036 0.76454 0.000 0.964 0.004 0.008 0.000 0.024
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.6016 0.46205 0.236 0.000 0.588 0.000 0.072 0.104
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.6509 0.10028 0.432 0.000 0.384 0.000 0.108 0.076
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.5138 0.53779 0.704 0.000 0.132 0.000 0.100 0.064
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 4 0.3734 0.54638 0.000 0.184 0.004 0.776 0.028 0.008
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#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 4 0.1461 0.55941 0.000 0.044 0.000 0.940 0.000 0.016
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.5214 0.54509 0.004 0.712 0.020 0.028 0.156 0.080
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.4548 0.52862 0.732 0.000 0.140 0.000 0.112 0.016
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 4 0.5255 0.35836 0.000 0.324 0.004 0.596 0.048 0.028
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.2256 0.69693 0.004 0.908 0.048 0.000 0.008 0.032
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.5453 0.32963 0.556 0.000 0.352 0.000 0.048 0.044
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 3 0.3966 0.08863 0.444 0.000 0.552 0.000 0.000 0.004
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.3811 0.60597 0.000 0.776 0.008 0.180 0.008 0.028
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.77196 0.000 1.000 0.000 0.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.5032 0.56677 0.088 0.000 0.700 0.004 0.032 0.176
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.3719 0.43536 0.764 0.000 0.008 0.000 0.200 0.028
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.3694 0.56151 0.812 0.000 0.044 0.000 0.112 0.032
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.6216 0.14158 0.000 0.492 0.008 0.368 0.072 0.060
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.6069 0.52350 0.592 0.000 0.168 0.000 0.180 0.060
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 4 0.5255 0.35836 0.000 0.324 0.004 0.596 0.048 0.028
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.4483 0.55573 0.720 0.000 0.180 0.000 0.092 0.008
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.3852 0.45346 0.764 0.000 0.020 0.000 0.192 0.024
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 3 0.2490 0.58278 0.044 0.000 0.892 0.000 0.012 0.052
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.6076 0.46270 0.608 0.000 0.144 0.000 0.160 0.088
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.3992 0.56021 0.788 0.000 0.104 0.000 0.088 0.020
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0862 0.76745 0.000 0.972 0.004 0.008 0.000 0.016
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.3961 0.56382 0.800 0.000 0.060 0.000 0.096 0.044
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.5501 0.20514 0.512 0.000 0.396 0.000 0.064 0.028
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.4050 0.55111 0.780 0.000 0.104 0.000 0.100 0.016
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.4264 0.49951 0.232 0.000 0.716 0.000 0.036 0.016
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.5991 0.40778 0.584 0.000 0.280 0.020 0.076 0.040
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.4848 0.44321 0.628 0.000 0.304 0.000 0.056 0.012
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.4653 0.11177 0.488 0.000 0.480 0.000 0.012 0.020
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.5309 0.22173 0.372 0.000 0.548 0.000 0.028 0.052
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.6088 0.41492 0.584 0.000 0.268 0.020 0.084 0.044
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.4736 0.43807 0.636 0.000 0.304 0.000 0.048 0.012
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.3306 0.58930 0.052 0.000 0.840 0.000 0.020 0.088
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 3 0.4548 0.44711 0.260 0.000 0.676 0.000 0.056 0.008
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.1036 0.76454 0.000 0.964 0.004 0.008 0.000 0.024
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 3 0.3997 0.40935 0.288 0.000 0.688 0.000 0.004 0.020
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 4 0.8709 -0.17993 0.224 0.004 0.264 0.276 0.136 0.096
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.3408 0.55837 0.832 0.000 0.080 0.000 0.072 0.016
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.4537 0.53045 0.708 0.000 0.220 0.000 0.048 0.024
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.3594 0.57047 0.820 0.000 0.100 0.000 0.056 0.024
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.2507 0.72424 0.000 0.892 0.000 0.020 0.028 0.060
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.5756 0.54213 0.096 0.000 0.696 0.060 0.076 0.072
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.4488 0.17767 0.004 0.016 0.544 0.000 0.004 0.432
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.4448 0.57854 0.072 0.000 0.788 0.024 0.056 0.060
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.7369 0.07448 0.080 0.476 0.028 0.028 0.308 0.080
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.6895 0.33331 0.532 0.016 0.268 0.016 0.096 0.072
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.8402 0.10914 0.388 0.000 0.180 0.172 0.152 0.108
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.4623 0.25532 0.540 0.000 0.428 0.000 0.016 0.016
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.3613 0.54575 0.816 0.000 0.076 0.000 0.092 0.016
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.6155 -0.02539 0.000 0.440 0.004 0.424 0.080 0.052
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.4884 0.43484 0.608 0.000 0.324 0.000 0.060 0.008
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.1092 0.52515 0.000 0.000 0.000 0.960 0.020 0.020
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.7275 0.24253 0.480 0.000 0.280 0.052 0.112 0.076
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.5029 0.32659 0.048 0.000 0.592 0.000 0.020 0.340
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.5793 0.53289 0.040 0.000 0.664 0.120 0.028 0.148
#> C98275CD-C39A-4E14-A731-4F3EB7396665 3 0.5005 0.06133 0.460 0.008 0.488 0.000 0.004 0.040
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 3 0.2569 0.58395 0.044 0.000 0.892 0.004 0.012 0.048
#> 6752EED9-7990-433F-A206-D5398C396471 3 0.5640 0.06847 0.428 0.000 0.472 0.000 0.068 0.032
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.5252 0.13380 0.488 0.000 0.448 0.004 0.036 0.024
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.6781 0.21663 0.504 0.000 0.236 0.000 0.116 0.144
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.7054 0.29707 0.484 0.012 0.260 0.000 0.144 0.100
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.2569 0.58395 0.044 0.000 0.892 0.004 0.012 0.048
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.5429 0.40449 0.288 0.000 0.608 0.004 0.028 0.072
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.4682 0.27397 0.548 0.000 0.416 0.000 0.016 0.020
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.4396 0.52784 0.748 0.000 0.116 0.000 0.120 0.016
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0146 0.77159 0.000 0.996 0.000 0.000 0.000 0.004
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0696 0.76830 0.000 0.980 0.004 0.008 0.004 0.004
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.6992 0.13031 0.464 0.000 0.256 0.000 0.120 0.160
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 3 0.4646 0.18201 0.396 0.000 0.568 0.000 0.016 0.020
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.5113 0.42075 0.656 0.000 0.108 0.000 0.220 0.016
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.4722 0.49704 0.656 0.000 0.264 0.000 0.076 0.004
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 17469 rows and 309 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 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 0.990 0.996 0.3928 0.609 0.609
#> 3 3 0.594 0.804 0.886 0.5567 0.755 0.602
#> 4 4 0.611 0.690 0.773 0.1638 0.779 0.491
#> 5 5 0.684 0.737 0.817 0.0900 0.931 0.757
#> 6 6 0.681 0.601 0.761 0.0492 0.943 0.762
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.0672 0.989 0.992 0.008
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.0000 0.996 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.0000 0.996 1.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.996 1.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.996 1.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.996 1.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 2 0.0000 0.995 0.000 1.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.995 0.000 1.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.0000 0.996 1.000 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.996 1.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.996 1.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.996 1.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.0000 0.996 1.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.995 0.000 1.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.0000 0.996 1.000 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.0000 0.996 1.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.0000 0.996 1.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.996 1.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.996 1.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0000 0.996 1.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.995 0.000 1.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.996 1.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.996 1.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.996 1.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.0000 0.996 1.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0000 0.996 1.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.0000 0.996 1.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0000 0.996 1.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.995 0.000 1.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.995 0.000 1.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.996 1.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.996 1.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.996 1.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.996 1.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.995 0.000 1.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.0000 0.996 1.000 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.0000 0.996 1.000 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.995 0.000 1.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.996 1.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.996 1.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.995 0.000 1.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.0000 0.996 1.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.0000 0.996 1.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.996 1.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.0000 0.996 1.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0000 0.996 1.000 0.000
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#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.995 0.000 1.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.995 0.000 1.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0000 0.996 1.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0000 0.996 1.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.995 0.000 1.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.995 0.000 1.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.9775 0.299 0.588 0.412
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.996 1.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0000 0.996 1.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.995 0.000 1.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0000 0.996 1.000 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.995 0.000 1.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.996 1.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.996 1.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.996 1.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.0000 0.996 1.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.996 1.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.995 0.000 1.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.996 1.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.996 1.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0000 0.996 1.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0000 0.996 1.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0000 0.996 1.000 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.996 1.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0000 0.996 1.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.0000 0.996 1.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0000 0.996 1.000 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0000 0.996 1.000 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.0000 0.996 1.000 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.996 1.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.995 0.000 1.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.996 1.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.0000 0.996 1.000 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.996 1.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.996 1.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.996 1.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.995 0.000 1.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.0000 0.996 1.000 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 2 0.0938 0.984 0.012 0.988
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.0000 0.996 1.000 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.4562 0.895 0.096 0.904
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.0000 0.996 1.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.0000 0.996 1.000 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.996 1.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.996 1.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.995 0.000 1.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.996 1.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.995 0.000 1.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.996 1.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.0000 0.996 1.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.0000 0.996 1.000 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.2948 0.945 0.052 0.948
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.996 1.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.996 1.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.0000 0.996 1.000 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.0000 0.996 1.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.0000 0.996 1.000 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.0000 0.996 1.000 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.996 1.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.996 1.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.996 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.995 0.000 1.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.995 0.000 1.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.0000 0.996 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.996 1.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.996 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.996 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.4256 0.7490 0.096 0.036 0.868
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.3192 0.8401 0.112 0.000 0.888
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.2878 0.8385 0.096 0.000 0.904
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.3816 0.8183 0.852 0.000 0.148
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0892 0.8619 0.980 0.000 0.020
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.8624 1.000 0.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.5754 0.4577 0.004 0.296 0.700
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9521 0.000 1.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.1860 0.8380 0.948 0.000 0.052
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.3816 0.8183 0.852 0.000 0.148
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.8624 1.000 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.3816 0.8183 0.852 0.000 0.148
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.3192 0.8401 0.112 0.000 0.888
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.2796 0.9439 0.000 0.908 0.092
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.3038 0.8360 0.104 0.000 0.896
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.3192 0.8401 0.112 0.000 0.888
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.5216 0.7415 0.260 0.000 0.740
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.3752 0.8208 0.856 0.000 0.144
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.8624 1.000 0.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.6244 0.5047 0.440 0.000 0.560
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9521 0.000 1.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0892 0.8619 0.980 0.000 0.020
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.3267 0.8355 0.884 0.000 0.116
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.3816 0.8183 0.852 0.000 0.148
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.3192 0.8401 0.112 0.000 0.888
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.3038 0.8047 0.896 0.000 0.104
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.2796 0.8372 0.092 0.000 0.908
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.3412 0.8344 0.124 0.000 0.876
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9521 0.000 1.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.9521 0.000 1.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.8624 1.000 0.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.8624 1.000 0.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.3816 0.8183 0.852 0.000 0.148
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.8624 1.000 0.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.9521 0.000 1.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.6225 0.3143 0.432 0.000 0.568
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.5882 0.2782 0.652 0.000 0.348
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.9521 0.000 1.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.3816 0.8183 0.852 0.000 0.148
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0892 0.8619 0.980 0.000 0.020
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.2711 0.9445 0.000 0.912 0.088
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.3619 0.8347 0.136 0.000 0.864
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.1860 0.8025 0.052 0.000 0.948
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.3816 0.8183 0.852 0.000 0.148
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.5785 0.2793 0.668 0.000 0.332
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.2796 0.8159 0.908 0.000 0.092
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.8624 1.000 0.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9521 0.000 1.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.3192 0.8401 0.112 0.000 0.888
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.2796 0.9439 0.000 0.908 0.092
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.3752 0.8208 0.856 0.000 0.144
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.2796 0.9439 0.000 0.908 0.092
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.2959 0.8394 0.100 0.000 0.900
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.5529 0.6577 0.296 0.000 0.704
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.4178 0.7986 0.828 0.000 0.172
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.2261 0.8280 0.068 0.000 0.932
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.2878 0.8385 0.096 0.000 0.904
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.1031 0.8477 0.976 0.000 0.024
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0747 0.9516 0.000 0.984 0.016
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.3816 0.8183 0.852 0.000 0.148
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.8624 1.000 0.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.2625 0.8449 0.916 0.000 0.084
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.6295 -0.3004 0.528 0.000 0.472
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.3816 0.8183 0.852 0.000 0.148
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9521 0.000 1.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.2796 0.8380 0.092 0.000 0.908
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.3686 0.8232 0.860 0.000 0.140
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.3340 0.7527 0.880 0.000 0.120
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.3192 0.8401 0.112 0.000 0.888
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.2796 0.9439 0.000 0.908 0.092
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0000 0.8624 1.000 0.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0747 0.8560 0.984 0.000 0.016
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.6225 0.5155 0.432 0.000 0.568
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.3816 0.8183 0.852 0.000 0.148
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.4002 0.8089 0.840 0.000 0.160
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.8624 1.000 0.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0000 0.8624 1.000 0.000 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.9521 0.000 1.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.2711 0.8294 0.088 0.000 0.912
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.2959 0.9402 0.000 0.900 0.100
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0892 0.8619 0.980 0.000 0.020
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.4128 0.6490 0.012 0.132 0.856
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0424 0.8597 0.992 0.000 0.008
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.8624 1.000 0.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0892 0.8619 0.980 0.000 0.020
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.0237 0.8631 0.996 0.000 0.004
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.3412 0.8251 0.876 0.000 0.124
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.2796 0.9439 0.000 0.908 0.092
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.1860 0.9492 0.000 0.948 0.052
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.4974 0.7515 0.236 0.000 0.764
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0000 0.8624 1.000 0.000 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.5363 0.4525 0.724 0.000 0.276
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.2796 0.9439 0.000 0.908 0.092
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.5621 0.7008 0.308 0.000 0.692
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0000 0.8624 1.000 0.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0000 0.8624 1.000 0.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 3 0.5621 0.6265 0.308 0.000 0.692
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.4291 0.8008 0.820 0.000 0.180
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.0000 0.8624 1.000 0.000 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.3192 0.8401 0.112 0.000 0.888
#> 00439565-02CE-4BF5-956D-7078B51C0947 3 0.4399 0.7851 0.188 0.000 0.812
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.9521 0.000 1.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.9521 0.000 1.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.0000 0.8624 1.000 0.000 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.0000 0.8624 1.000 0.000 0.000
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.9521 0.000 1.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 1 0.1905 0.8355 0.956 0.016 0.028
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.3192 0.8401 0.112 0.000 0.888
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.0000 0.8624 1.000 0.000 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 2 0.2796 0.9439 0.000 0.908 0.092
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.9521 0.000 1.000 0.000
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#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.8624 1.000 0.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.2796 0.9439 0.000 0.908 0.092
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.3816 0.8183 0.852 0.000 0.148
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.3482 0.9224 0.000 0.872 0.128
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.4062 0.8056 0.836 0.000 0.164
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.2796 0.8372 0.092 0.000 0.908
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.2261 0.8280 0.068 0.000 0.932
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.7216 0.6011 0.112 0.712 0.176
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.5760 0.5472 0.672 0.000 0.328
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.5465 0.6514 0.712 0.000 0.288
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.4062 0.8056 0.836 0.000 0.164
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.3192 0.8401 0.112 0.000 0.888
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.6126 0.5717 0.400 0.000 0.600
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.4291 0.7885 0.180 0.000 0.820
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.5291 0.6697 0.268 0.000 0.732
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.3752 0.8208 0.856 0.000 0.144
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.1163 0.8535 0.972 0.000 0.028
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9521 0.000 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9521 0.000 1.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.3192 0.8401 0.112 0.000 0.888
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 3 0.6309 0.0815 0.496 0.000 0.504
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.8624 1.000 0.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0892 0.8619 0.980 0.000 0.020
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.9211 0.1473 0.448 0.244 0.132 0.176
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.5524 0.9089 0.048 0.000 0.676 0.276
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.6602 0.8457 0.092 0.000 0.552 0.356
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0817 0.7451 0.976 0.000 0.000 0.024
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.3266 0.5615 0.832 0.000 0.000 0.168
#> 03E81178-E971-4E91-8BED-D8273EA1425C 4 0.4804 0.7927 0.384 0.000 0.000 0.616
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.7651 0.8336 0.048 0.096 0.552 0.304
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.4543 0.8648 0.000 0.676 0.324 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 4 0.6196 0.6969 0.228 0.100 0.004 0.668
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.1022 0.7452 0.968 0.000 0.000 0.032
#> B710293C-41D3-4A2E-8104-5402F91DD859 4 0.4804 0.7921 0.384 0.000 0.000 0.616
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.1118 0.7352 0.964 0.000 0.000 0.036
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.5599 0.9091 0.052 0.000 0.672 0.276
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.8256 0.000 1.000 0.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.6824 0.1771 0.548 0.000 0.116 0.336
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.5672 0.9087 0.056 0.000 0.668 0.276
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.4978 0.8541 0.012 0.000 0.664 0.324
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.1118 0.7320 0.964 0.000 0.000 0.036
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 4 0.4761 0.7924 0.372 0.000 0.000 0.628
#> C204D355-B876-4341-A111-36D48CBDD2A8 4 0.6310 -0.3724 0.060 0.000 0.428 0.512
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.4543 0.8648 0.000 0.676 0.324 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.3074 0.5910 0.848 0.000 0.000 0.152
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.1022 0.7360 0.968 0.000 0.000 0.032
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0921 0.7451 0.972 0.000 0.000 0.028
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.5524 0.9089 0.048 0.000 0.676 0.276
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 4 0.4907 0.4560 0.420 0.000 0.000 0.580
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.5716 0.9077 0.060 0.000 0.668 0.272
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.7846 0.6019 0.300 0.000 0.404 0.296
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.4543 0.8648 0.000 0.676 0.324 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.4543 0.8648 0.000 0.676 0.324 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 4 0.4804 0.7927 0.384 0.000 0.000 0.616
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 4 0.4713 0.7894 0.360 0.000 0.000 0.640
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0592 0.7433 0.984 0.000 0.000 0.016
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 4 0.4817 0.7923 0.388 0.000 0.000 0.612
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.4543 0.8648 0.000 0.676 0.324 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.3870 0.6472 0.788 0.000 0.004 0.208
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 4 0.5303 0.5494 0.136 0.084 0.012 0.768
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.4543 0.8648 0.000 0.676 0.324 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.1022 0.7451 0.968 0.000 0.000 0.032
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.3688 0.4896 0.792 0.000 0.000 0.208
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.8256 0.000 1.000 0.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.5697 0.9078 0.056 0.000 0.664 0.280
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.5750 0.9088 0.052 0.004 0.672 0.272
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0921 0.7391 0.972 0.000 0.000 0.028
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 4 0.7031 0.3266 0.156 0.000 0.288 0.556
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.4866 0.2633 0.596 0.000 0.000 0.404
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 4 0.4804 0.7927 0.384 0.000 0.000 0.616
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.4543 0.8648 0.000 0.676 0.324 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.5549 0.9080 0.048 0.000 0.672 0.280
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0188 0.8245 0.000 0.996 0.004 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.1118 0.7351 0.964 0.000 0.000 0.036
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0376 0.8230 0.000 0.992 0.004 0.004
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.5716 0.9077 0.060 0.000 0.668 0.272
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.4353 0.6064 0.756 0.000 0.012 0.232
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0921 0.7451 0.972 0.000 0.000 0.028
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.5750 0.9088 0.052 0.004 0.672 0.272
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.5857 0.8951 0.056 0.000 0.636 0.308
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 4 0.4713 0.7894 0.360 0.000 0.000 0.640
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.4193 0.8612 0.000 0.732 0.268 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0817 0.7391 0.976 0.000 0.000 0.024
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 4 0.4804 0.7927 0.384 0.000 0.000 0.616
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.4624 0.0286 0.660 0.000 0.000 0.340
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 4 0.5248 0.6001 0.164 0.000 0.088 0.748
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0592 0.7459 0.984 0.000 0.000 0.016
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.4543 0.8648 0.000 0.676 0.324 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.5888 0.8961 0.048 0.004 0.640 0.308
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.1302 0.7290 0.956 0.000 0.000 0.044
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 4 0.5817 0.7050 0.248 0.000 0.076 0.676
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.5675 0.9085 0.048 0.004 0.676 0.272
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0188 0.8245 0.000 0.996 0.004 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 4 0.4730 0.7898 0.364 0.000 0.000 0.636
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 4 0.5204 0.7934 0.376 0.000 0.012 0.612
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 4 0.6013 -0.0165 0.064 0.000 0.312 0.624
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0817 0.7391 0.976 0.000 0.000 0.024
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.0921 0.7391 0.972 0.000 0.000 0.028
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 4 0.4804 0.7927 0.384 0.000 0.000 0.616
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 4 0.4804 0.7921 0.384 0.000 0.000 0.616
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.4543 0.8648 0.000 0.676 0.324 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.5675 0.9085 0.048 0.004 0.676 0.272
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.0657 0.8193 0.000 0.984 0.004 0.012
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.4454 0.2629 0.692 0.000 0.000 0.308
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.8733 0.6433 0.048 0.220 0.404 0.328
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 4 0.4713 0.7878 0.360 0.000 0.000 0.640
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 4 0.4817 0.7923 0.388 0.000 0.000 0.612
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.1792 0.7021 0.932 0.000 0.000 0.068
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.4933 -0.4086 0.568 0.000 0.000 0.432
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.2011 0.7067 0.920 0.000 0.000 0.080
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0376 0.8229 0.000 0.992 0.004 0.004
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.3444 0.8530 0.000 0.816 0.184 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.4957 0.8721 0.012 0.000 0.668 0.320
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 4 0.4877 0.7634 0.408 0.000 0.000 0.592
#> D47D0936-826F-4D54-9225-F71B95357438 4 0.6907 0.4480 0.172 0.000 0.240 0.588
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0188 0.8245 0.000 0.996 0.004 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.5355 0.7888 0.020 0.000 0.620 0.360
#> D587A993-3C47-4D4C-B744-59169D4F7451 4 0.4697 0.7900 0.356 0.000 0.000 0.644
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 4 0.4804 0.7927 0.384 0.000 0.000 0.616
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.5642 0.5510 0.704 0.004 0.064 0.228
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.1389 0.7405 0.952 0.000 0.000 0.048
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 4 0.4713 0.7894 0.360 0.000 0.000 0.640
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.5672 0.9087 0.056 0.000 0.668 0.276
#> 00439565-02CE-4BF5-956D-7078B51C0947 1 0.7031 0.1988 0.536 0.000 0.140 0.324
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.4543 0.8648 0.000 0.676 0.324 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.4543 0.8648 0.000 0.676 0.324 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 4 0.4855 0.7754 0.400 0.000 0.000 0.600
#> 7822EA86-35A1-4285-9429-2B63111B9885 4 0.4697 0.7900 0.356 0.000 0.000 0.644
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.4543 0.8648 0.000 0.676 0.324 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 4 0.5821 0.7541 0.368 0.040 0.000 0.592
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.5599 0.9091 0.052 0.000 0.672 0.276
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 4 0.4817 0.7923 0.388 0.000 0.000 0.612
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 2 0.1109 0.8107 0.000 0.968 0.004 0.028
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.4543 0.8648 0.000 0.676 0.324 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 4 0.4697 0.7900 0.356 0.000 0.000 0.644
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.5524 0.9089 0.048 0.000 0.676 0.276
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.5972 0.8927 0.064 0.000 0.632 0.304
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.2814 0.7110 0.868 0.000 0.000 0.132
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 4 0.4804 0.7921 0.384 0.000 0.000 0.616
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 4 0.4746 0.7914 0.368 0.000 0.000 0.632
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 4 0.4697 0.7900 0.356 0.000 0.000 0.644
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.0921 0.7451 0.972 0.000 0.000 0.028
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.1867 0.6996 0.928 0.000 0.000 0.072
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.2596 0.7343 0.908 0.000 0.024 0.068
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.2593 0.7228 0.892 0.000 0.004 0.104
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 1 0.6136 0.3721 0.632 0.000 0.080 0.288
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.0707 0.7407 0.980 0.000 0.000 0.020
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 3 0.9262 0.5479 0.196 0.208 0.452 0.144
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 2 0.1209 0.8082 0.000 0.964 0.004 0.032
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 2 0.1970 0.7851 0.000 0.932 0.008 0.060
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.4730 -0.1404 0.636 0.000 0.000 0.364
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 1 0.7704 0.0116 0.452 0.000 0.264 0.284
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 1 0.4920 0.6541 0.768 0.000 0.068 0.164
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 1 0.4372 0.3285 0.728 0.004 0.000 0.268
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.4994 -0.5345 0.520 0.000 0.000 0.480
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.4543 0.8648 0.000 0.676 0.324 0.000
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 4 0.6472 0.4562 0.148 0.000 0.212 0.640
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.4477 0.8647 0.000 0.688 0.312 0.000
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.4543 0.8648 0.000 0.676 0.324 0.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.0000 0.7454 1.000 0.000 0.000 0.000
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#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.1118 0.7351 0.964 0.000 0.000 0.036
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 4 0.4713 0.7722 0.360 0.000 0.000 0.640
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.4543 0.8648 0.000 0.676 0.324 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.4543 0.8648 0.000 0.676 0.324 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.5599 0.9091 0.052 0.000 0.672 0.276
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.3444 0.6765 0.816 0.000 0.000 0.184
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 4 0.4761 0.7924 0.372 0.000 0.000 0.628
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.2345 0.6703 0.900 0.000 0.000 0.100
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.4452 0.33748 0.164 0.000 0.072 0.760 0.004
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.83040 0.000 0.000 1.000 0.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.6107 0.58969 0.132 0.000 0.616 0.232 0.020
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.2962 0.79936 0.868 0.000 0.000 0.084 0.048
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.4349 0.76963 0.756 0.000 0.000 0.068 0.176
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.0771 0.87425 0.020 0.000 0.000 0.004 0.976
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.2790 0.77067 0.000 0.068 0.880 0.052 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.93446 0.000 1.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.1364 0.85542 0.012 0.000 0.000 0.036 0.952
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.1697 0.79909 0.932 0.000 0.000 0.060 0.008
#> B710293C-41D3-4A2E-8104-5402F91DD859 5 0.1469 0.87327 0.036 0.000 0.000 0.016 0.948
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.4269 0.76972 0.776 0.000 0.000 0.108 0.116
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.83040 0.000 0.000 1.000 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.4288 0.83127 0.004 0.384 0.000 0.612 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.5989 0.57322 0.620 0.000 0.124 0.240 0.016
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0162 0.82955 0.000 0.000 0.996 0.004 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0609 0.82506 0.000 0.000 0.980 0.020 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.2824 0.80213 0.872 0.000 0.000 0.032 0.096
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.0510 0.87367 0.016 0.000 0.000 0.000 0.984
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.4558 0.43415 0.000 0.000 0.652 0.024 0.324
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.93446 0.000 1.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.4297 0.77630 0.764 0.000 0.000 0.072 0.164
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.2879 0.80431 0.868 0.000 0.000 0.032 0.100
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.2193 0.78620 0.900 0.000 0.000 0.092 0.008
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.83040 0.000 0.000 1.000 0.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 5 0.5661 0.39681 0.272 0.000 0.000 0.120 0.608
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0290 0.82888 0.000 0.000 0.992 0.008 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.6062 0.30733 0.336 0.000 0.540 0.120 0.004
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.93446 0.000 1.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0162 0.93098 0.004 0.996 0.000 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 5 0.1041 0.87496 0.032 0.000 0.000 0.004 0.964
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.1750 0.87199 0.028 0.000 0.000 0.036 0.936
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.2130 0.80758 0.908 0.000 0.000 0.012 0.080
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 5 0.2793 0.84867 0.088 0.000 0.000 0.036 0.876
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.93446 0.000 1.000 0.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.2707 0.76958 0.860 0.000 0.008 0.132 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.5321 0.63250 0.108 0.000 0.016 0.172 0.704
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.93446 0.000 1.000 0.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.2522 0.78248 0.880 0.000 0.000 0.108 0.012
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.4384 0.71416 0.728 0.000 0.000 0.044 0.228
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 4 0.4138 0.83093 0.000 0.384 0.000 0.616 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0162 0.82955 0.000 0.000 0.996 0.004 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0000 0.83040 0.000 0.000 1.000 0.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.4221 0.77193 0.780 0.000 0.000 0.108 0.112
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 5 0.5083 0.19233 0.000 0.000 0.432 0.036 0.532
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.6066 0.36556 0.516 0.000 0.000 0.132 0.352
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 5 0.0955 0.87459 0.028 0.000 0.000 0.004 0.968
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.93446 0.000 1.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0000 0.83040 0.000 0.000 1.000 0.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.4138 0.83093 0.000 0.384 0.000 0.616 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.4317 0.76763 0.772 0.000 0.000 0.116 0.112
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 4 0.4403 0.82993 0.008 0.384 0.000 0.608 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0000 0.83040 0.000 0.000 1.000 0.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.2707 0.77242 0.860 0.000 0.008 0.132 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.2408 0.78299 0.892 0.000 0.004 0.096 0.008
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.0609 0.82567 0.000 0.000 0.980 0.020 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.1942 0.80270 0.000 0.000 0.920 0.068 0.012
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 5 0.2616 0.85118 0.036 0.000 0.000 0.076 0.888
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.2439 0.74887 0.004 0.876 0.000 0.120 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.2361 0.80341 0.892 0.000 0.000 0.012 0.096
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.0865 0.87425 0.024 0.000 0.000 0.004 0.972
#> 09758B6F-1B2D-4AED-8913-696097069409 5 0.6133 -0.06300 0.436 0.000 0.000 0.128 0.436
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 5 0.4827 0.73956 0.016 0.000 0.136 0.096 0.752
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.2104 0.80798 0.916 0.000 0.000 0.024 0.060
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.93446 0.000 1.000 0.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.2069 0.79899 0.000 0.000 0.912 0.076 0.012
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.4365 0.76509 0.768 0.000 0.000 0.116 0.116
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 5 0.3064 0.80394 0.000 0.000 0.108 0.036 0.856
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0000 0.83040 0.000 0.000 1.000 0.000 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 4 0.4288 0.83127 0.004 0.384 0.000 0.612 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 5 0.0290 0.87153 0.008 0.000 0.000 0.000 0.992
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 5 0.2234 0.86665 0.044 0.000 0.004 0.036 0.916
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.4907 -0.03962 0.000 0.000 0.488 0.024 0.488
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.2983 0.80136 0.864 0.000 0.000 0.040 0.096
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.4221 0.77193 0.780 0.000 0.000 0.108 0.112
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 5 0.0992 0.87431 0.024 0.000 0.000 0.008 0.968
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 5 0.1216 0.87491 0.020 0.000 0.000 0.020 0.960
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.93446 0.000 1.000 0.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.0000 0.83040 0.000 0.000 1.000 0.000 0.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.4088 0.82135 0.000 0.368 0.000 0.632 0.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.5773 0.30454 0.512 0.000 0.000 0.092 0.396
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.7425 0.37169 0.048 0.120 0.508 0.300 0.024
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 5 0.0162 0.86988 0.004 0.000 0.000 0.000 0.996
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 5 0.1965 0.86749 0.052 0.000 0.000 0.024 0.924
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.2983 0.80559 0.864 0.000 0.000 0.040 0.096
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 5 0.6194 0.12495 0.388 0.000 0.000 0.140 0.472
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.5113 0.71915 0.708 0.000 0.004 0.128 0.160
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 4 0.4288 0.83127 0.004 0.384 0.000 0.612 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.4201 -0.32256 0.000 0.592 0.000 0.408 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.0865 0.82279 0.000 0.000 0.972 0.004 0.024
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 5 0.2616 0.83977 0.100 0.000 0.000 0.020 0.880
#> D47D0936-826F-4D54-9225-F71B95357438 5 0.5132 0.42025 0.008 0.000 0.344 0.036 0.612
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 4 0.4288 0.82997 0.004 0.384 0.000 0.612 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.1522 0.80492 0.000 0.000 0.944 0.012 0.044
#> D587A993-3C47-4D4C-B744-59169D4F7451 5 0.1195 0.87119 0.028 0.000 0.000 0.012 0.960
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 5 0.1469 0.87315 0.036 0.000 0.000 0.016 0.948
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.4039 0.75762 0.784 0.000 0.044 0.168 0.004
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.3601 0.78368 0.820 0.000 0.000 0.128 0.052
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 5 0.3517 0.81352 0.068 0.000 0.000 0.100 0.832
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.0162 0.82955 0.000 0.000 0.996 0.004 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 1 0.6155 0.55584 0.608 0.000 0.132 0.240 0.020
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.93446 0.000 1.000 0.000 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.93446 0.000 1.000 0.000 0.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 5 0.2464 0.84798 0.096 0.000 0.000 0.016 0.888
#> 7822EA86-35A1-4285-9429-2B63111B9885 5 0.1836 0.86769 0.032 0.000 0.000 0.036 0.932
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.93446 0.000 1.000 0.000 0.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 5 0.3805 0.80119 0.084 0.004 0.000 0.092 0.820
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.0000 0.83040 0.000 0.000 1.000 0.000 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 5 0.1836 0.86975 0.032 0.000 0.000 0.036 0.932
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 4 0.4276 0.83008 0.004 0.380 0.000 0.616 0.000
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.93446 0.000 1.000 0.000 0.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 5 0.1741 0.86930 0.040 0.000 0.000 0.024 0.936
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.0000 0.83040 0.000 0.000 1.000 0.000 0.000
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.2554 0.78392 0.036 0.000 0.892 0.072 0.000
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.2411 0.77597 0.884 0.000 0.008 0.108 0.000
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 5 0.2830 0.84835 0.080 0.000 0.000 0.044 0.876
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 5 0.0671 0.87354 0.016 0.000 0.000 0.004 0.980
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 5 0.1741 0.86993 0.040 0.000 0.000 0.024 0.936
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.2616 0.79890 0.888 0.000 0.000 0.076 0.036
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.2358 0.80499 0.888 0.000 0.000 0.008 0.104
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.3946 0.79912 0.820 0.000 0.016 0.064 0.100
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.3844 0.74260 0.792 0.000 0.008 0.176 0.024
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 1 0.3485 0.75641 0.828 0.000 0.048 0.124 0.000
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.2653 0.80254 0.880 0.000 0.000 0.024 0.096
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 4 0.6332 -0.06223 0.144 0.000 0.364 0.488 0.004
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 4 0.4276 0.83008 0.004 0.380 0.000 0.616 0.000
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 4 0.5000 0.66701 0.036 0.272 0.000 0.676 0.016
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.5019 0.23163 0.532 0.000 0.000 0.032 0.436
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 1 0.8084 0.15313 0.396 0.000 0.288 0.192 0.124
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 1 0.5470 0.65100 0.684 0.000 0.072 0.216 0.028
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 1 0.5938 0.40043 0.552 0.000 0.000 0.128 0.320
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 5 0.4080 0.64067 0.252 0.000 0.000 0.020 0.728
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.0000 0.93446 0.000 1.000 0.000 0.000 0.000
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 5 0.4677 0.51974 0.000 0.000 0.300 0.036 0.664
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.0671 0.91440 0.004 0.980 0.000 0.016 0.000
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0000 0.93446 0.000 1.000 0.000 0.000 0.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.2209 0.80667 0.912 0.000 0.000 0.032 0.056
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0000 0.93446 0.000 1.000 0.000 0.000 0.000
#> 9492A322-37CA-4582-AC68-66B5D80778AF 4 0.4138 0.83093 0.000 0.384 0.000 0.616 0.000
#> 993399A4-1B9F-4258-B2D0-155AD58A2E82 1 0.4827 0.72588 0.724 0.000 0.000 0.116 0.160
#> 7B7DC93D-5494-4E69-BE07-2967887182F9 1 0.5901 0.69301 0.676 0.000 0.044 0.160 0.120
#> 29BCBA51-2580-473D-9CF7-BEDBD0DBAD1B 4 0.4288 0.83127 0.004 0.384 0.000 0.612 0.000
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#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.2818 0.78550 0.856 0.000 0.000 0.132 0.012
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.83040 0.000 0.000 1.000 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.4829 -0.00144 0.000 0.000 0.496 0.020 0.484
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.5755 0.60627 0.640 0.000 0.100 0.244 0.016
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.6687 0.54332 0.584 0.000 0.228 0.136 0.052
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.4221 0.77193 0.780 0.000 0.000 0.108 0.112
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.1943 0.85004 0.020 0.000 0.000 0.056 0.924
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.93446 0.000 1.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.93446 0.000 1.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.83040 0.000 0.000 1.000 0.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.2513 0.77513 0.876 0.000 0.008 0.116 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.0510 0.87367 0.016 0.000 0.000 0.000 0.984
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.3182 0.79315 0.844 0.000 0.000 0.032 0.124
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.6671 0.06994 0.152 0.000 0.032 0.412 0.016 0.388
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0146 0.76684 0.000 0.000 0.996 0.004 0.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 6 0.4998 0.34048 0.036 0.000 0.336 0.016 0.008 0.604
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.3717 0.36061 0.708 0.000 0.000 0.000 0.016 0.276
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.4941 0.33160 0.660 0.000 0.000 0.008 0.104 0.228
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.1798 0.81059 0.020 0.000 0.000 0.028 0.932 0.020
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.3433 0.67402 0.004 0.032 0.832 0.024 0.000 0.108
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0508 0.94287 0.004 0.984 0.000 0.000 0.000 0.012
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.1970 0.79947 0.008 0.000 0.000 0.044 0.920 0.028
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.2592 0.53847 0.864 0.000 0.000 0.004 0.016 0.116
#> B710293C-41D3-4A2E-8104-5402F91DD859 5 0.3044 0.81460 0.048 0.000 0.000 0.036 0.864 0.052
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.3603 0.55022 0.816 0.000 0.000 0.036 0.032 0.116
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0146 0.76684 0.000 0.000 0.996 0.004 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.4117 0.87166 0.000 0.192 0.000 0.740 0.004 0.064
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 6 0.5162 0.61619 0.268 0.000 0.076 0.016 0.004 0.636
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0405 0.76603 0.000 0.000 0.988 0.008 0.000 0.004
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.2860 0.72297 0.000 0.000 0.868 0.068 0.012 0.052
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0914 0.57959 0.968 0.000 0.000 0.000 0.016 0.016
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.1138 0.81423 0.012 0.000 0.000 0.004 0.960 0.024
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.5218 0.58437 0.000 0.000 0.668 0.068 0.212 0.052
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0146 0.94488 0.000 0.996 0.000 0.000 0.000 0.004
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.4886 0.33115 0.664 0.000 0.000 0.012 0.084 0.240
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.3517 0.52153 0.804 0.000 0.000 0.004 0.056 0.136
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.3628 0.35658 0.720 0.000 0.000 0.004 0.008 0.268
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.76711 0.000 0.000 1.000 0.000 0.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 5 0.6231 -0.02493 0.240 0.000 0.000 0.012 0.448 0.300
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0717 0.76115 0.000 0.000 0.976 0.008 0.000 0.016
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.6883 -0.13853 0.172 0.000 0.440 0.044 0.016 0.328
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.94479 0.000 1.000 0.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.2145 0.87161 0.000 0.900 0.000 0.028 0.000 0.072
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 5 0.2565 0.81372 0.040 0.000 0.000 0.040 0.892 0.028
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.3074 0.79569 0.016 0.000 0.000 0.068 0.856 0.060
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.1624 0.57126 0.936 0.000 0.000 0.004 0.020 0.040
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 5 0.5721 0.68543 0.176 0.000 0.008 0.080 0.656 0.080
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0653 0.94144 0.004 0.980 0.000 0.004 0.000 0.012
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.4151 0.06131 0.576 0.000 0.004 0.008 0.000 0.412
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.4433 0.52685 0.016 0.000 0.000 0.024 0.656 0.304
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0405 0.94390 0.004 0.988 0.000 0.000 0.000 0.008
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.4115 0.19551 0.624 0.000 0.000 0.004 0.012 0.360
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.5593 0.32738 0.616 0.000 0.000 0.024 0.204 0.156
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 4 0.3284 0.87824 0.000 0.196 0.000 0.784 0.000 0.020
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0767 0.76397 0.000 0.000 0.976 0.008 0.004 0.012
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0405 0.76580 0.000 0.000 0.988 0.008 0.000 0.004
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.3603 0.54885 0.816 0.000 0.000 0.036 0.032 0.116
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.6558 0.29762 0.016 0.000 0.488 0.076 0.344 0.076
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 6 0.6269 0.31620 0.288 0.000 0.000 0.008 0.296 0.408
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 5 0.2602 0.80446 0.020 0.000 0.000 0.052 0.888 0.040
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0146 0.94488 0.000 0.996 0.000 0.000 0.000 0.004
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0405 0.76596 0.000 0.000 0.988 0.008 0.000 0.004
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.3253 0.87790 0.000 0.192 0.000 0.788 0.000 0.020
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.3869 0.53722 0.796 0.000 0.000 0.040 0.036 0.128
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 4 0.3978 0.87374 0.000 0.192 0.000 0.744 0.000 0.064
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0000 0.76711 0.000 0.000 1.000 0.000 0.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.5112 -0.02313 0.540 0.000 0.020 0.028 0.008 0.404
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.3774 0.26208 0.664 0.000 0.000 0.000 0.008 0.328
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.1245 0.74965 0.000 0.000 0.952 0.016 0.000 0.032
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.2302 0.69515 0.000 0.000 0.872 0.008 0.000 0.120
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 5 0.4134 0.73957 0.040 0.000 0.000 0.064 0.784 0.112
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.3626 0.70891 0.000 0.788 0.000 0.144 0.000 0.068
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.2065 0.57529 0.912 0.000 0.000 0.004 0.032 0.052
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.1959 0.81050 0.024 0.000 0.000 0.032 0.924 0.020
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.6295 0.34384 0.568 0.000 0.000 0.072 0.176 0.184
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 5 0.7268 0.52291 0.040 0.000 0.132 0.124 0.524 0.180
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.1297 0.56967 0.948 0.000 0.000 0.000 0.012 0.040
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0146 0.94488 0.000 0.996 0.000 0.000 0.000 0.004
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.2446 0.68726 0.000 0.000 0.864 0.012 0.000 0.124
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.3730 0.54144 0.804 0.000 0.000 0.032 0.036 0.128
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 5 0.5363 0.66463 0.016 0.000 0.124 0.072 0.708 0.080
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0405 0.76550 0.000 0.000 0.988 0.008 0.000 0.004
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 4 0.4117 0.87166 0.000 0.192 0.000 0.740 0.004 0.064
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 5 0.1148 0.81314 0.016 0.000 0.000 0.004 0.960 0.020
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 5 0.5041 0.74478 0.080 0.000 0.024 0.076 0.744 0.076
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.5943 0.30518 0.000 0.000 0.504 0.068 0.368 0.060
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.1341 0.58184 0.948 0.000 0.000 0.000 0.028 0.024
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.3689 0.54635 0.808 0.000 0.000 0.036 0.032 0.124
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 5 0.1944 0.81359 0.024 0.000 0.000 0.016 0.924 0.036
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 5 0.2195 0.81623 0.024 0.000 0.000 0.028 0.912 0.036
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.94479 0.000 1.000 0.000 0.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.0405 0.76550 0.000 0.000 0.988 0.008 0.000 0.004
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.3831 0.85766 0.004 0.168 0.004 0.776 0.000 0.048
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.6338 -0.23166 0.340 0.000 0.000 0.008 0.312 0.340
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 6 0.6448 0.01422 0.004 0.040 0.368 0.100 0.012 0.476
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 5 0.1148 0.81314 0.016 0.000 0.000 0.004 0.960 0.020
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 5 0.4082 0.77511 0.096 0.000 0.000 0.048 0.792 0.064
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.3980 0.47110 0.760 0.000 0.000 0.004 0.068 0.168
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.5895 0.37379 0.612 0.000 0.000 0.056 0.148 0.184
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.5157 0.48332 0.692 0.000 0.000 0.048 0.100 0.160
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 4 0.3946 0.87496 0.000 0.192 0.000 0.752 0.004 0.052
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 4 0.4884 0.42258 0.004 0.460 0.000 0.488 0.000 0.048
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.1944 0.74976 0.000 0.000 0.924 0.036 0.024 0.016
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 5 0.3623 0.77501 0.096 0.000 0.000 0.028 0.820 0.056
#> D47D0936-826F-4D54-9225-F71B95357438 5 0.6628 -0.11163 0.016 0.000 0.416 0.076 0.416 0.076
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 4 0.2980 0.87929 0.000 0.192 0.000 0.800 0.000 0.008
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.1716 0.75024 0.000 0.000 0.932 0.028 0.004 0.036
#> D587A993-3C47-4D4C-B744-59169D4F7451 5 0.2450 0.79825 0.016 0.000 0.000 0.048 0.896 0.040
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 5 0.2704 0.80518 0.076 0.000 0.000 0.012 0.876 0.036
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.5204 0.32941 0.612 0.000 0.032 0.036 0.008 0.312
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.4632 0.47277 0.712 0.000 0.000 0.052 0.032 0.204
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 5 0.5321 0.64773 0.120 0.000 0.000 0.068 0.688 0.124
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.0000 0.76711 0.000 0.000 1.000 0.000 0.000 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 6 0.5227 0.61837 0.260 0.000 0.076 0.016 0.008 0.640
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.94479 0.000 1.000 0.000 0.000 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.94479 0.000 1.000 0.000 0.000 0.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 5 0.4437 0.72400 0.192 0.000 0.000 0.020 0.728 0.060
#> 7822EA86-35A1-4285-9429-2B63111B9885 5 0.3414 0.77422 0.028 0.000 0.000 0.052 0.836 0.084
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0146 0.94488 0.000 0.996 0.000 0.000 0.000 0.004
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 5 0.6387 0.50086 0.172 0.000 0.000 0.076 0.556 0.196
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.0000 0.76711 0.000 0.000 1.000 0.000 0.000 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 5 0.3995 0.77602 0.048 0.000 0.000 0.080 0.800 0.072
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 4 0.3301 0.87872 0.000 0.188 0.000 0.788 0.000 0.024
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0146 0.94488 0.000 0.996 0.000 0.000 0.000 0.004
#> 7139D616-1A15-4288-A9AE-411856A4A76D 5 0.3057 0.78600 0.024 0.000 0.000 0.048 0.860 0.068
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.0260 0.76625 0.000 0.000 0.992 0.008 0.000 0.000
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.3053 0.61808 0.000 0.000 0.812 0.020 0.000 0.168
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.4225 0.17428 0.628 0.000 0.004 0.012 0.004 0.352
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 5 0.5274 0.71145 0.156 0.000 0.000 0.076 0.688 0.080
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 5 0.1503 0.80787 0.008 0.000 0.000 0.032 0.944 0.016
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 5 0.3550 0.77822 0.048 0.000 0.000 0.056 0.832 0.064
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.3665 0.39408 0.728 0.000 0.000 0.000 0.020 0.252
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.1989 0.57222 0.916 0.000 0.000 0.004 0.028 0.052
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.5519 0.40655 0.676 0.000 0.012 0.072 0.064 0.176
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.4045 -0.05204 0.564 0.000 0.000 0.000 0.008 0.428
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 1 0.4957 -0.05449 0.544 0.000 0.044 0.012 0.000 0.400
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.1723 0.57899 0.928 0.000 0.000 0.000 0.036 0.036
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 4 0.8042 -0.00930 0.196 0.000 0.280 0.316 0.024 0.184
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 4 0.3301 0.87872 0.000 0.188 0.000 0.788 0.000 0.024
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 4 0.5074 0.65766 0.000 0.108 0.000 0.596 0.000 0.296
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.4354 0.42508 0.704 0.000 0.000 0.012 0.240 0.044
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 6 0.6941 0.46366 0.300 0.000 0.132 0.032 0.052 0.484
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#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.6856 0.11203 0.416 0.000 0.000 0.248 0.056 0.280
#> 9AF0E82E-E621-437A-8D19-700532B95090 5 0.1232 0.81560 0.024 0.000 0.000 0.004 0.956 0.016
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.6618 0.28140 0.572 0.000 0.020 0.072 0.180 0.156
#> EFE5A302-D138-4044-A301-5C5FD1C24836 5 0.4835 0.72723 0.160 0.000 0.000 0.052 0.720 0.068
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.94479 0.000 1.000 0.000 0.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 6 0.6037 0.00234 0.432 0.000 0.048 0.056 0.012 0.452
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.4481 0.22514 0.000 0.000 0.556 0.024 0.004 0.416
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 6 0.5622 0.03240 0.456 0.000 0.040 0.032 0.012 0.460
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 5 0.4165 0.74179 0.012 0.012 0.000 0.088 0.784 0.104
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.6301 0.42611 0.232 0.000 0.572 0.060 0.008 0.128
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.7668 0.23167 0.028 0.000 0.360 0.320 0.092 0.200
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.2144 0.57660 0.908 0.000 0.000 0.004 0.048 0.040
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 5 0.2763 0.80536 0.052 0.000 0.000 0.028 0.880 0.040
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 4 0.4117 0.87166 0.000 0.192 0.000 0.740 0.004 0.064
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.1334 0.57389 0.948 0.000 0.000 0.000 0.020 0.032
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.3517 0.82947 0.004 0.128 0.004 0.812 0.000 0.052
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.3986 0.52389 0.780 0.000 0.000 0.044 0.028 0.148
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 6 0.5779 0.59365 0.160 0.000 0.176 0.020 0.016 0.628
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.5249 0.36131 0.068 0.000 0.636 0.036 0.000 0.260
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.4313 0.46629 0.712 0.004 0.000 0.028 0.016 0.240
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.4418 0.07251 0.584 0.000 0.004 0.016 0.004 0.392
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.4852 -0.33783 0.480 0.000 0.012 0.004 0.024 0.480
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.3991 0.48326 0.744 0.000 0.000 0.028 0.016 0.212
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0291 0.76714 0.000 0.000 0.992 0.004 0.000 0.004
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.5919 0.23987 0.000 0.000 0.488 0.072 0.388 0.052
#> 1ABBEF80-508F-4247-B43D-3E549372113B 6 0.5105 0.59931 0.288 0.000 0.056 0.016 0.008 0.632
#> 835AAE7F-F873-4D11-8845-232D261A38DF 6 0.7189 0.34285 0.348 0.000 0.176 0.036 0.040 0.400
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.3300 0.55328 0.832 0.000 0.000 0.020 0.032 0.116
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.3286 0.77038 0.044 0.000 0.000 0.012 0.832 0.112
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0146 0.94488 0.000 0.996 0.000 0.000 0.000 0.004
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0603 0.94201 0.004 0.980 0.000 0.000 0.000 0.016
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0260 0.76625 0.000 0.000 0.992 0.008 0.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.4315 0.10466 0.596 0.000 0.004 0.012 0.004 0.384
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.1773 0.81158 0.016 0.000 0.000 0.036 0.932 0.016
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.1909 0.58133 0.920 0.000 0.000 0.004 0.052 0.024
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 17469 rows and 309 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 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 0.933 0.948 0.978 0.4825 0.515 0.515
#> 3 3 0.833 0.906 0.956 0.3365 0.770 0.583
#> 4 4 0.846 0.851 0.934 0.1596 0.829 0.562
#> 5 5 0.807 0.781 0.883 0.0611 0.906 0.660
#> 6 6 0.774 0.760 0.858 0.0445 0.938 0.713
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.0000 0.965 0.000 1.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.9732 0.305 0.596 0.404
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 2 0.0000 0.965 0.000 1.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.985 1.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.985 1.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.985 1.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 2 0.0000 0.965 0.000 1.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.965 0.000 1.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.0000 0.985 1.000 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.985 1.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.985 1.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.985 1.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.9209 0.484 0.664 0.336
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.965 0.000 1.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.0000 0.985 1.000 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 2 0.9970 0.146 0.468 0.532
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.0000 0.985 1.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.985 1.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.985 1.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.3733 0.912 0.928 0.072
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.965 0.000 1.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.985 1.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.985 1.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.985 1.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 2 0.6801 0.784 0.180 0.820
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0000 0.985 1.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 2 0.9552 0.422 0.376 0.624
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0000 0.985 1.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.965 0.000 1.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.965 0.000 1.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.985 1.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.985 1.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.985 1.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.985 1.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.965 0.000 1.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 2 0.1633 0.946 0.024 0.976
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 2 0.0000 0.965 0.000 1.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.965 0.000 1.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.985 1.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.985 1.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.965 0.000 1.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.3733 0.912 0.928 0.072
#> 6D3CC3AC-618B-414A-B640-169C735A6568 2 0.0000 0.965 0.000 1.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.985 1.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.0000 0.985 1.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0000 0.985 1.000 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.985 1.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.965 0.000 1.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.6531 0.790 0.832 0.168
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.965 0.000 1.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.985 1.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0000 0.965 0.000 1.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.0000 0.985 1.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.0000 0.985 1.000 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0000 0.985 1.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 2 0.0000 0.965 0.000 1.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 2 0.5059 0.865 0.112 0.888
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.0000 0.985 1.000 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.965 0.000 1.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.985 1.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.985 1.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.5946 0.821 0.856 0.144
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.0000 0.985 1.000 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.985 1.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.965 0.000 1.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 2 0.0000 0.965 0.000 1.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.985 1.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.0000 0.985 1.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 2 0.5519 0.847 0.128 0.872
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.965 0.000 1.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0000 0.985 1.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0000 0.985 1.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.0000 0.985 1.000 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0000 0.985 1.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.0000 0.985 1.000 0.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.985 1.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0000 0.985 1.000 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.965 0.000 1.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 2 0.0000 0.965 0.000 1.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.0000 0.965 0.000 1.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0000 0.985 1.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 2 0.0000 0.965 0.000 1.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0000 0.985 1.000 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.985 1.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.985 1.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.0000 0.985 1.000 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.0000 0.985 1.000 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.965 0.000 1.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0000 0.965 0.000 1.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 1 0.9209 0.484 0.664 0.336
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0000 0.985 1.000 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.0000 0.985 1.000 0.000
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#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.0000 0.985 1.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 2 0.7950 0.701 0.240 0.760
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.985 1.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.985 1.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.965 0.000 1.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.985 1.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.965 0.000 1.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.985 1.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.0672 0.978 0.992 0.008
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 2 0.0000 0.965 0.000 1.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.965 0.000 1.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.985 1.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.985 1.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 2 0.3733 0.905 0.072 0.928
#> CE6B6871-3ED3-44DE-A777-7558D4429057 2 0.6438 0.805 0.164 0.836
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 2 0.0000 0.965 0.000 1.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 2 0.0672 0.959 0.008 0.992
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.985 1.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.985 1.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.985 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.965 0.000 1.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.965 0.000 1.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 2 0.6438 0.805 0.164 0.836
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.985 1.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.985 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.985 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.4555 0.73969 0.000 0.800 0.200
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.93014 0.000 0.000 1.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.0000 0.93014 0.000 0.000 1.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.95170 1.000 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.95170 1.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.95170 1.000 0.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.6168 0.31530 0.000 0.412 0.588
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.97140 0.000 1.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.5635 0.76231 0.784 0.036 0.180
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.95170 1.000 0.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.95170 1.000 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.95170 1.000 0.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.93014 0.000 0.000 1.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.97140 0.000 1.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.0000 0.93014 0.000 0.000 1.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.93014 0.000 0.000 1.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0000 0.93014 0.000 0.000 1.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.95170 1.000 0.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.95170 1.000 0.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0592 0.92448 0.012 0.000 0.988
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.97140 0.000 1.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.95170 1.000 0.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.95170 1.000 0.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.95170 1.000 0.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.93014 0.000 0.000 1.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.4555 0.77278 0.800 0.000 0.200
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0000 0.93014 0.000 0.000 1.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.0000 0.93014 0.000 0.000 1.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.97140 0.000 1.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.97140 0.000 1.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.95170 1.000 0.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.95170 1.000 0.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.95170 1.000 0.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.95170 1.000 0.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.97140 0.000 1.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 2 0.7543 0.58985 0.216 0.680 0.104
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 2 0.4555 0.72411 0.000 0.800 0.200
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.97140 0.000 1.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.95170 1.000 0.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.95170 1.000 0.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.97140 0.000 1.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0000 0.93014 0.000 0.000 1.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0000 0.93014 0.000 0.000 1.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.95170 1.000 0.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.4504 0.76328 0.196 0.000 0.804
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.5254 0.69104 0.736 0.000 0.264
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.95170 1.000 0.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.97140 0.000 1.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0000 0.93014 0.000 0.000 1.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.97140 0.000 1.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.95170 1.000 0.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0000 0.97140 0.000 1.000 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0000 0.93014 0.000 0.000 1.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.3816 0.80724 0.148 0.000 0.852
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0592 0.94507 0.988 0.000 0.012
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.0000 0.93014 0.000 0.000 1.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0000 0.93014 0.000 0.000 1.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.0000 0.95170 1.000 0.000 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.97140 0.000 1.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.95170 1.000 0.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.95170 1.000 0.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.2796 0.87025 0.908 0.092 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 3 0.3686 0.82571 0.140 0.000 0.860
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.95170 1.000 0.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.97140 0.000 1.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.0000 0.93014 0.000 0.000 1.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.95170 1.000 0.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 3 0.5254 0.67415 0.264 0.000 0.736
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0000 0.93014 0.000 0.000 1.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.97140 0.000 1.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0237 0.94961 0.996 0.000 0.004
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.3816 0.82804 0.852 0.000 0.148
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.0424 0.92657 0.008 0.000 0.992
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0000 0.95170 1.000 0.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.0000 0.95170 1.000 0.000 0.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.95170 1.000 0.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0000 0.95170 1.000 0.000 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.97140 0.000 1.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.0000 0.93014 0.000 0.000 1.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.0000 0.97140 0.000 1.000 0.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0000 0.95170 1.000 0.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 2 0.6062 0.35181 0.000 0.616 0.384
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.3551 0.84437 0.868 0.000 0.132
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.95170 1.000 0.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.95170 1.000 0.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.0000 0.95170 1.000 0.000 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.1860 0.91718 0.948 0.000 0.052
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.97140 0.000 1.000 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0000 0.97140 0.000 1.000 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.0000 0.93014 0.000 0.000 1.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0000 0.95170 1.000 0.000 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 3 0.4399 0.77168 0.188 0.000 0.812
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.97140 0.000 1.000 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.0000 0.93014 0.000 0.000 1.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0000 0.95170 1.000 0.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0000 0.95170 1.000 0.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 2 0.5330 0.76785 0.144 0.812 0.044
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.0000 0.95170 1.000 0.000 0.000
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.0000 0.95170 1.000 0.000 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.0000 0.93014 0.000 0.000 1.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 3 0.0237 0.92821 0.000 0.004 0.996
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.97140 0.000 1.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.97140 0.000 1.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.0000 0.95170 1.000 0.000 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.0000 0.95170 1.000 0.000 0.000
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.97140 0.000 1.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 2 0.0000 0.97140 0.000 1.000 0.000
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.0000 0.93014 0.000 0.000 1.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.0000 0.95170 1.000 0.000 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 2 0.0000 0.97140 0.000 1.000 0.000
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.97140 0.000 1.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.0000 0.95170 1.000 0.000 0.000
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.0000 0.93014 0.000 0.000 1.000
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.0000 0.93014 0.000 0.000 1.000
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.3412 0.85568 0.876 0.000 0.124
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.0424 0.94733 0.992 0.000 0.008
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.3619 0.84048 0.864 0.000 0.136
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.0000 0.95170 1.000 0.000 0.000
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.0000 0.95170 1.000 0.000 0.000
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.0000 0.95170 1.000 0.000 0.000
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.4555 0.77278 0.800 0.000 0.200
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.0747 0.94251 0.984 0.000 0.016
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 3 0.2711 0.86449 0.088 0.000 0.912
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.0000 0.95170 1.000 0.000 0.000
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 3 0.4887 0.68299 0.000 0.228 0.772
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 2 0.0000 0.97140 0.000 1.000 0.000
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 2 0.0000 0.97140 0.000 1.000 0.000
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.0000 0.95170 1.000 0.000 0.000
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 3 0.8372 0.45979 0.108 0.312 0.580
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 1 0.4750 0.75407 0.784 0.000 0.216
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 1 0.0000 0.95170 1.000 0.000 0.000
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.0000 0.95170 1.000 0.000 0.000
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.0000 0.97140 0.000 1.000 0.000
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 3 0.4002 0.80331 0.160 0.000 0.840
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.0000 0.97140 0.000 1.000 0.000
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0000 0.97140 0.000 1.000 0.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.0000 0.95170 1.000 0.000 0.000
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0000 0.97140 0.000 1.000 0.000
#> 9492A322-37CA-4582-AC68-66B5D80778AF 2 0.0000 0.97140 0.000 1.000 0.000
#> 993399A4-1B9F-4258-B2D0-155AD58A2E82 1 0.0000 0.95170 1.000 0.000 0.000
#> 7B7DC93D-5494-4E69-BE07-2967887182F9 1 0.4605 0.76846 0.796 0.000 0.204
#> 29BCBA51-2580-473D-9CF7-BEDBD0DBAD1B 2 0.0000 0.97140 0.000 1.000 0.000
#> 40855647-E942-4F32-90B7-BEB921929BFB 3 0.4121 0.79292 0.168 0.000 0.832
#> 0DC723D0-7C68-4495-A4B9-2DF2FF19AB14 2 0.0000 0.97140 0.000 1.000 0.000
#> 7540005F-57E0-4E2E-A8A2-BEF2B0F333B1 2 0.0000 0.97140 0.000 1.000 0.000
#> EB1DDB14-4076-4C2C-B911-390C17C21486 1 0.4887 0.73798 0.772 0.000 0.228
#> 9EA70EC4-8BA0-4E3D-B3CB-A68D19E89868 1 0.0237 0.94944 0.996 0.000 0.004
#> B04E2E50-0A6E-4224-A825-1714D12E5669 2 0.0000 0.97140 0.000 1.000 0.000
#> B0BF5E01-536D-40FF-9C24-CBBD611E2FC2 1 0.4750 0.75289 0.784 0.000 0.216
#> 7B6B1788-B297-4442-B6BE-B7CE8754491E 1 0.1031 0.93793 0.976 0.000 0.024
#> A090D00C-34DF-4906-A517-4803C4C9A332 1 0.0000 0.95170 1.000 0.000 0.000
#> 340D44A6-9BEA-412C-9973-D9ABD6692255 1 0.4235 0.79817 0.824 0.000 0.176
#> E8D0D1E7-E5A8-4014-80C1-0245F90F4358 2 0.0000 0.97140 0.000 1.000 0.000
#> 19EA1494-8572-40E1-B9BB-3739F47B607D 3 0.3482 0.84478 0.128 0.000 0.872
#> 1C1B4793-8DAF-4763-BA4D-C4E869A4ED35 2 0.0592 0.95922 0.012 0.988 0.000
#> 45BF59B3-95BD-4196-ABAA-4C4F0DB38572 2 0.0000 0.97140 0.000 1.000 0.000
#> 47B5A2A7-7E13-4558-99D2-067F5075C6A4 1 0.0000 0.95170 1.000 0.000 0.000
#> E94638E8-CB51-4FBB-8BCB-4BFD7A812291 1 0.0000 0.95170 1.000 0.000 0.000
#> A17352A8-0D3C-4545-8136-7DAE2FB0E102 2 0.0000 0.97140 0.000 1.000 0.000
#> B18A6F95-D4ED-416B-B5A1-9A4934865D0D 2 0.0000 0.97140 0.000 1.000 0.000
#> 33E92C5F-0C42-4549-AD5B-0A064182A272 3 0.1031 0.91818 0.024 0.000 0.976
#> E041B375-3E60-4F18-A6EF-D1C249E3B8EE 3 0.0000 0.93014 0.000 0.000 1.000
#> EDF90AF6-6C64-4BD2-AADF-8D7D188650B2 2 0.0000 0.97140 0.000 1.000 0.000
#> 569320D2-316C-4E2D-B7B3-D7D5C4DAD42D 1 0.0000 0.95170 1.000 0.000 0.000
#> AFFB223D-DAE9-4567-9EF2-8E4DF9D8782D 2 0.0000 0.97140 0.000 1.000 0.000
#> 56FC9454-0A6A-4CC3-95C4-BE0E0D0BAFCE 2 0.0000 0.97140 0.000 1.000 0.000
#> 43226365-FAEF-46C5-AF1B-5C6C2BED84FF 2 0.6309 0.00889 0.500 0.500 0.000
#> 1536110A-B42A-4A84-9474-9895321FDCE9 2 0.0000 0.97140 0.000 1.000 0.000
#> 812255DD-536B-4216-90B1-27D5AB339BE2 1 0.0000 0.95170 1.000 0.000 0.000
#> 5D4563D6-68B7-4C9D-A3F4-AA7D45D5112C 2 0.0000 0.97140 0.000 1.000 0.000
#> BAA39781-DB94-473C-98B1-FA6CD3E1C67A 1 0.0000 0.95170 1.000 0.000 0.000
#> C1411CDA-814D-4E21-8929-C0F77858828F 1 0.4178 0.81093 0.828 0.000 0.172
#> EFE2F248-C13E-4E8D-9153-8C903848AC4A 1 0.9584 0.01471 0.428 0.372 0.200
#> D3939C84-D1D6-4060-9F91-AEB222A9BDD5 1 0.1964 0.91648 0.944 0.000 0.056
#> EABD2987-8C1E-49E5-94AF-C0BDE5335A48 1 0.2796 0.88239 0.908 0.000 0.092
#> F4BE2ABE-2CEB-4A6A-B8EC-0355F8C63B9B 1 0.1163 0.93436 0.972 0.000 0.028
#> 627BC251-D217-4955-B718-6B9D6DEA1756 1 0.0000 0.95170 1.000 0.000 0.000
#> 31B54613-A20E-4039-BB8B-9B52104CE418 1 0.0000 0.95170 1.000 0.000 0.000
#> 3F292B7C-A535-4DBD-BC20-CB4F85A1C94B 1 0.5216 0.67476 0.740 0.000 0.260
#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 2 0.0000 0.97140 0.000 1.000 0.000
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.0000 0.97140 0.000 1.000 0.000
#> 4588817E-1068-4A78-86B6-4674A0112DDA 2 0.0237 0.96723 0.004 0.996 0.000
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 2 0.0000 0.97140 0.000 1.000 0.000
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.0000 0.95170 1.000 0.000 0.000
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.0000 0.95170 1.000 0.000 0.000
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.0000 0.97140 0.000 1.000 0.000
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.0000 0.95170 1.000 0.000 0.000
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 3 0.2165 0.89182 0.064 0.000 0.936
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.0000 0.97140 0.000 1.000 0.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.0000 0.97140 0.000 1.000 0.000
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.0000 0.97140 0.000 1.000 0.000
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.0000 0.95170 1.000 0.000 0.000
#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.4605 0.76846 0.796 0.000 0.204
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.0000 0.95170 1.000 0.000 0.000
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.3619 0.83787 0.864 0.000 0.136
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.0000 0.95170 1.000 0.000 0.000
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0000 0.97140 0.000 1.000 0.000
#> 344B9631-AAA5-4302-8747-D584345D9131 3 0.0592 0.92448 0.012 0.000 0.988
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.0000 0.95170 1.000 0.000 0.000
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 2 0.4178 0.75588 0.172 0.828 0.000
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.0000 0.95170 1.000 0.000 0.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 2 0.0000 0.97140 0.000 1.000 0.000
#> FD544083-9BD5-4036-BD81-0352B67CC45C 3 0.0000 0.93014 0.000 0.000 1.000
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0000 0.95170 1.000 0.000 0.000
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.0000 0.95170 1.000 0.000 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.4504 0.77655 0.804 0.000 0.196
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0000 0.95170 1.000 0.000 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 2 0.4931 0.68979 0.000 0.768 0.232
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 3 0.0000 0.93014 0.000 0.000 1.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0000 0.97140 0.000 1.000 0.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.0000 0.97140 0.000 1.000 0.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 3 0.0237 0.92821 0.000 0.004 0.996
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.5098 0.68715 0.752 0.000 0.248
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0000 0.95170 1.000 0.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.4555 0.77278 0.800 0.000 0.200
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0000 0.95170 1.000 0.000 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.0000 0.97140 0.000 1.000 0.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 3 0.0747 0.92106 0.000 0.016 0.984
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.0000 0.93014 0.000 0.000 1.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0000 0.95170 1.000 0.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.0000 0.95170 1.000 0.000 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.0000 0.97140 0.000 1.000 0.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.0000 0.93014 0.000 0.000 1.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.97140 0.000 1.000 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.97140 0.000 1.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.97140 0.000 1.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.0000 0.93014 0.000 0.000 1.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.0000 0.93014 0.000 0.000 1.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.3551 0.84408 0.868 0.000 0.132
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0000 0.95170 1.000 0.000 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0000 0.95170 1.000 0.000 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.0000 0.93014 0.000 0.000 1.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.0000 0.93014 0.000 0.000 1.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.0000 0.95170 1.000 0.000 0.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0000 0.95170 1.000 0.000 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.97140 0.000 1.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.0000 0.95170 1.000 0.000 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.0000 0.93014 0.000 0.000 1.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 3 0.0000 0.93014 0.000 0.000 1.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.97140 0.000 1.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.97140 0.000 1.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.95170 1.000 0.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.97140 0.000 1.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.97140 0.000 1.000 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.0892 0.92025 0.020 0.000 0.980
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.2261 0.90582 0.932 0.000 0.068
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.97140 0.000 1.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.97140 0.000 1.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.0000 0.93014 0.000 0.000 1.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.95170 1.000 0.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 3 0.6045 0.43078 0.380 0.000 0.620
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.97140 0.000 1.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0000 0.95170 1.000 0.000 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.97140 0.000 1.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.95170 1.000 0.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0237 0.94963 0.996 0.000 0.004
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.3482 0.85696 0.872 0.000 0.128
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.0237 0.92840 0.004 0.000 0.996
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.95170 1.000 0.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.97140 0.000 1.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.5058 0.69347 0.244 0.000 0.756
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.4702 0.75834 0.788 0.000 0.212
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0424 0.94733 0.992 0.000 0.008
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.0000 0.93014 0.000 0.000 1.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0000 0.95170 1.000 0.000 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.95170 1.000 0.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 3 0.5968 0.43269 0.364 0.000 0.636
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.4796 0.72301 0.220 0.000 0.780
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0000 0.95170 1.000 0.000 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.2625 0.88998 0.916 0.000 0.084
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.0000 0.93014 0.000 0.000 1.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.1860 0.91927 0.948 0.000 0.052
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.97140 0.000 1.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0892 0.94020 0.980 0.000 0.020
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.2066 0.90382 0.060 0.940 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.95170 1.000 0.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.95170 1.000 0.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.95170 1.000 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.97140 0.000 1.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.5573 0.75087 0.044 0.160 0.796
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.0592 0.92351 0.000 0.012 0.988
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.4099 0.79699 0.008 0.140 0.852
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.0000 0.97140 0.000 1.000 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.0000 0.93014 0.000 0.000 1.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.4750 0.70052 0.000 0.216 0.784
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.95170 1.000 0.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.95170 1.000 0.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.97140 0.000 1.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.95170 1.000 0.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.97140 0.000 1.000 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0237 0.94951 0.996 0.000 0.004
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.0000 0.93014 0.000 0.000 1.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.0000 0.93014 0.000 0.000 1.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.97140 0.000 1.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.1643 0.92465 0.956 0.000 0.044
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.4605 0.76846 0.796 0.000 0.204
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.5058 0.67409 0.756 0.244 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.93014 0.000 0.000 1.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.3879 0.80013 0.000 0.152 0.848
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.0237 0.92821 0.000 0.004 0.996
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.3116 0.85568 0.108 0.000 0.892
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.95170 1.000 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.4121 0.80721 0.832 0.000 0.168
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.97140 0.000 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.97140 0.000 1.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.93014 0.000 0.000 1.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.4974 0.70298 0.764 0.000 0.236
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.95170 1.000 0.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.95170 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.3768 0.7561 0.008 0.808 0.184 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.8859 0.000 0.000 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.0188 0.8839 0.004 0.000 0.996 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.9018 1.000 0.000 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.4713 0.4160 0.640 0.000 0.000 0.360
#> 03E81178-E971-4E91-8BED-D8273EA1425C 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.4941 0.2338 0.000 0.436 0.564 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.9018 1.000 0.000 0.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0188 0.9022 0.996 0.000 0.000 0.004
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.8859 0.000 0.000 1.000 0.000
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#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 4588817E-1068-4A78-86B6-4674A0112DDA 4 0.0188 0.9183 0.000 0.004 0.000 0.996
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.4477 0.5256 0.688 0.000 0.000 0.312
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.0188 0.9022 0.996 0.000 0.000 0.004
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.0188 0.9022 0.996 0.000 0.000 0.004
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 3 0.4500 0.5851 0.000 0.000 0.684 0.316
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.0188 0.9022 0.996 0.000 0.000 0.004
#> A9022D9E-1D30-49EE-8552-1364A8027F34 4 0.5119 0.2252 0.440 0.000 0.004 0.556
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 4 0.3528 0.7412 0.192 0.000 0.000 0.808
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.0000 0.9018 1.000 0.000 0.000 0.000
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 4 0.2216 0.8473 0.092 0.000 0.000 0.908
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 344B9631-AAA5-4302-8747-D584345D9131 3 0.4817 0.4497 0.000 0.000 0.612 0.388
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> 297611E9-9555-4BCA-A723-02E846ACC23A 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 2 0.1211 0.9410 0.000 0.960 0.000 0.040
#> FD544083-9BD5-4036-BD81-0352B67CC45C 3 0.0000 0.8859 0.000 0.000 1.000 0.000
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0707 0.8943 0.980 0.000 0.000 0.020
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.0188 0.9022 0.996 0.000 0.000 0.004
#> DCD0313D-5206-4111-8743-A8A0227257D9 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0336 0.9006 0.992 0.000 0.000 0.008
#> 9EEECA0E-530D-4724-B016-A716F0782148 2 0.3768 0.7564 0.008 0.808 0.184 0.000
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 3 0.0000 0.8859 0.000 0.000 1.000 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.4761 0.4976 0.628 0.000 0.372 0.000
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.0000 0.9018 1.000 0.000 0.000 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.1302 0.8780 0.956 0.000 0.000 0.044
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.3726 0.7320 0.788 0.000 0.212 0.000
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.0000 0.8859 0.000 0.000 1.000 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 4 0.4888 0.3138 0.412 0.000 0.000 0.588
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.0000 0.8859 0.000 0.000 1.000 0.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.0592 0.8789 0.000 0.000 0.984 0.016
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.0000 0.8859 0.000 0.000 1.000 0.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> B55743F2-4D63-4375-85D3-F58281CFD852 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.0000 0.8859 0.000 0.000 1.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.0000 0.8859 0.000 0.000 1.000 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.0000 0.9018 1.000 0.000 0.000 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.0000 0.8859 0.000 0.000 1.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 3 0.4585 0.4051 0.332 0.000 0.668 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 4 0.1302 0.8881 0.044 0.000 0.000 0.956
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.2563 0.8344 0.020 0.000 0.908 0.072
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0000 0.9018 1.000 0.000 0.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.0000 0.8859 0.000 0.000 1.000 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 4 0.0188 0.9191 0.000 0.000 0.004 0.996
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.9018 1.000 0.000 0.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.4103 0.6610 0.000 0.000 0.744 0.256
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.4643 0.5406 0.000 0.000 0.656 0.344
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 4 0.5130 0.5222 0.312 0.000 0.020 0.668
#> D365A238-4739-4B54-9608-DC548F21C04E 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.0188 0.8839 0.004 0.000 0.996 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0188 0.9022 0.996 0.000 0.000 0.004
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.1211 0.8806 0.960 0.000 0.000 0.040
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.3751 0.7449 0.800 0.000 0.196 0.004
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.4525 0.7599 0.116 0.000 0.804 0.080
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0336 0.9006 0.992 0.000 0.000 0.008
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.2469 0.8263 0.892 0.000 0.108 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.4730 0.5121 0.636 0.000 0.364 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.4543 0.5025 0.676 0.000 0.000 0.324
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.9018 1.000 0.000 0.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.6262 0.4993 0.280 0.628 0.000 0.092
#> 9AF0E82E-E621-437A-8D19-700532B95090 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 4 0.7506 0.1921 0.208 0.000 0.308 0.484
#> EFE5A302-D138-4044-A301-5C5FD1C24836 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.3764 0.7183 0.784 0.000 0.216 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.3907 0.6492 0.000 0.232 0.768 0.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.3311 0.7685 0.828 0.000 0.172 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.0336 0.8814 0.008 0.000 0.992 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.5454 0.7077 0.000 0.096 0.732 0.172
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0188 0.9022 0.996 0.000 0.000 0.004
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0188 0.9022 0.996 0.000 0.000 0.004
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0188 0.9022 0.996 0.000 0.000 0.004
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.0188 0.8839 0.004 0.000 0.996 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.1302 0.8552 0.044 0.000 0.956 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.9018 1.000 0.000 0.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.4079 0.7532 0.800 0.000 0.180 0.020
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.0000 0.9018 1.000 0.000 0.000 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.8859 0.000 0.000 1.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.5257 0.6844 0.000 0.060 0.728 0.212
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.3975 0.7031 0.760 0.000 0.240 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.4610 0.6330 0.236 0.000 0.744 0.020
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0188 0.9022 0.996 0.000 0.000 0.004
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 4 0.0188 0.9194 0.004 0.000 0.000 0.996
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9831 0.000 1.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.8859 0.000 0.000 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.9018 1.000 0.000 0.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 4 0.0000 0.9221 0.000 0.000 0.000 1.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0921 0.8886 0.972 0.000 0.000 0.028
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.7289 0.2519 0.152 0.448 0.044 0.352 0.004
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.9027 0.000 0.000 1.000 0.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.3966 0.3550 0.664 0.000 0.336 0.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.3143 0.6412 0.796 0.000 0.000 0.204 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.5505 0.4736 0.604 0.000 0.000 0.092 0.304
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.0000 0.9098 0.000 0.000 0.000 0.000 1.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.4978 0.0464 0.028 0.476 0.496 0.000 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.0000 0.9098 0.000 0.000 0.000 0.000 1.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 4 0.3752 0.6783 0.292 0.000 0.000 0.708 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 5 0.1043 0.9050 0.000 0.000 0.000 0.040 0.960
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 4 0.1478 0.7962 0.064 0.000 0.000 0.936 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.9027 0.000 0.000 1.000 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.1478 0.9292 0.000 0.936 0.000 0.064 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.0609 0.7402 0.980 0.000 0.020 0.000 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.9027 0.000 0.000 1.000 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0000 0.9027 0.000 0.000 1.000 0.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 4 0.3336 0.7376 0.228 0.000 0.000 0.772 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.0162 0.9103 0.000 0.000 0.000 0.004 0.996
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0794 0.8930 0.000 0.000 0.972 0.000 0.028
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.5303 0.5515 0.660 0.000 0.000 0.108 0.232
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.4731 0.0702 0.528 0.000 0.000 0.456 0.016
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.3895 0.4568 0.680 0.000 0.000 0.320 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.9027 0.000 0.000 1.000 0.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.4526 0.5076 0.672 0.000 0.000 0.028 0.300
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0000 0.9027 0.000 0.000 1.000 0.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.2424 0.8099 0.132 0.000 0.868 0.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
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#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 4 0.3424 0.7270 0.240 0.000 0.000 0.760 0.000
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 4 0.3707 0.6717 0.284 0.000 0.000 0.716 0.000
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 3 0.1764 0.8738 0.000 0.000 0.928 0.008 0.064
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.0404 0.9389 0.000 0.988 0.000 0.012 0.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.1704 0.9257 0.004 0.928 0.000 0.068 0.000
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 4 0.3242 0.7466 0.216 0.000 0.000 0.784 0.000
#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.0932 0.7425 0.972 0.000 0.004 0.004 0.020
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 5 0.3804 0.7673 0.044 0.000 0.000 0.160 0.796
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.0162 0.7441 0.996 0.000 0.000 0.004 0.000
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 5 0.4417 0.7395 0.092 0.000 0.000 0.148 0.760
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> 344B9631-AAA5-4302-8747-D584345D9131 3 0.2377 0.8324 0.000 0.000 0.872 0.000 0.128
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 5 0.4306 0.1450 0.000 0.000 0.000 0.492 0.508
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 5 0.0000 0.9098 0.000 0.000 0.000 0.000 1.000
#> 297611E9-9555-4BCA-A723-02E846ACC23A 5 0.1851 0.8792 0.000 0.000 0.000 0.088 0.912
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 2 0.4402 0.7289 0.000 0.740 0.000 0.056 0.204
#> FD544083-9BD5-4036-BD81-0352B67CC45C 3 0.0162 0.9014 0.000 0.000 0.996 0.000 0.004
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 4 0.4467 0.7322 0.164 0.000 0.000 0.752 0.084
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 4 0.1478 0.7962 0.064 0.000 0.000 0.936 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 5 0.3333 0.7221 0.208 0.000 0.000 0.004 0.788
#> 331A9160-D730-45DD-A985-C6CAC03035ED 4 0.1478 0.7962 0.064 0.000 0.000 0.936 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 2 0.7345 0.2936 0.224 0.480 0.020 0.260 0.016
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 3 0.3932 0.5201 0.328 0.000 0.672 0.000 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.2127 0.9014 0.000 0.892 0.000 0.108 0.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.1364 0.7273 0.952 0.000 0.012 0.036 0.000
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.4273 0.1240 0.552 0.000 0.000 0.448 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 5 0.3210 0.7604 0.000 0.000 0.000 0.212 0.788
#> C86EBD08-53F2-4972-801A-74970FDD6A62 5 0.1410 0.8787 0.060 0.000 0.000 0.000 0.940
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 4 0.5490 0.6062 0.248 0.000 0.000 0.636 0.116
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.4437 0.4083 0.664 0.000 0.020 0.316 0.000
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.0000 0.9027 0.000 0.000 1.000 0.000 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 5 0.5301 0.5866 0.148 0.000 0.000 0.176 0.676
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 5 0.0162 0.9094 0.000 0.000 0.000 0.004 0.996
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.1341 0.9313 0.000 0.944 0.000 0.056 0.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.1608 0.8625 0.072 0.000 0.928 0.000 0.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.0880 0.8920 0.000 0.000 0.968 0.000 0.032
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.0000 0.9027 0.000 0.000 1.000 0.000 0.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 5 0.1197 0.8970 0.000 0.000 0.000 0.048 0.952
#> B55743F2-4D63-4375-85D3-F58281CFD852 5 0.0162 0.9103 0.000 0.000 0.000 0.004 0.996
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 5 0.0162 0.9103 0.000 0.000 0.000 0.004 0.996
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.0000 0.9027 0.000 0.000 1.000 0.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.0000 0.9027 0.000 0.000 1.000 0.000 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 5 0.0162 0.9103 0.000 0.000 0.000 0.004 0.996
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 5 0.0510 0.9092 0.000 0.000 0.000 0.016 0.984
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 4 0.4060 0.5245 0.360 0.000 0.000 0.640 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.0000 0.9027 0.000 0.000 1.000 0.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.0880 0.7360 0.968 0.000 0.032 0.000 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.1478 0.9292 0.000 0.936 0.000 0.064 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 5 0.1774 0.8866 0.052 0.000 0.000 0.016 0.932
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.1478 0.9292 0.000 0.936 0.000 0.064 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.1410 0.8748 0.060 0.000 0.940 0.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0880 0.7434 0.968 0.000 0.000 0.032 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.0000 0.9027 0.000 0.000 1.000 0.000 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 5 0.1908 0.8765 0.000 0.000 0.000 0.092 0.908
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 5 0.3644 0.8232 0.000 0.000 0.096 0.080 0.824
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 5 0.0000 0.9098 0.000 0.000 0.000 0.000 1.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.1478 0.9292 0.000 0.936 0.000 0.064 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 5 0.0162 0.9103 0.000 0.000 0.000 0.004 0.996
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 5 0.0162 0.9103 0.000 0.000 0.000 0.004 0.996
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.7437 1.000 0.000 0.000 0.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.1851 0.8630 0.000 0.000 0.912 0.000 0.088
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 5 0.0880 0.9052 0.000 0.000 0.000 0.032 0.968
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.3962 0.7772 0.000 0.000 0.800 0.088 0.112
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.2304 0.7263 0.908 0.000 0.004 0.020 0.068
#> D365A238-4739-4B54-9608-DC548F21C04E 5 0.0000 0.9098 0.000 0.000 0.000 0.000 1.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.1608 0.7137 0.928 0.000 0.072 0.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 4 0.1478 0.7962 0.064 0.000 0.000 0.936 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 4 0.4714 0.7142 0.192 0.000 0.000 0.724 0.084
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.2439 0.6997 0.876 0.000 0.004 0.120 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.3843 0.7220 0.012 0.000 0.788 0.184 0.016
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 4 0.1571 0.7947 0.060 0.000 0.000 0.936 0.004
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.5554 0.3674 0.592 0.000 0.076 0.328 0.004
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.0703 0.7390 0.976 0.000 0.024 0.000 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0290 0.7443 0.992 0.000 0.000 0.008 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.3857 0.4859 0.688 0.000 0.000 0.312 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 4 0.2278 0.7009 0.032 0.000 0.000 0.908 0.060
#> 9AF0E82E-E621-437A-8D19-700532B95090 5 0.0162 0.9103 0.000 0.000 0.000 0.004 0.996
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 3 0.8419 -0.1219 0.272 0.000 0.324 0.156 0.248
#> EFE5A302-D138-4044-A301-5C5FD1C24836 5 0.2280 0.8566 0.000 0.000 0.000 0.120 0.880
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 4 0.5057 0.1395 0.356 0.000 0.036 0.604 0.004
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 2 0.7464 -0.0158 0.332 0.352 0.284 0.032 0.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.4310 0.3910 0.604 0.000 0.004 0.392 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.2230 0.8447 0.000 0.884 0.000 0.000 0.116
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.1121 0.8827 0.000 0.000 0.956 0.044 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.3456 0.7674 0.000 0.000 0.800 0.184 0.016
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 4 0.3242 0.7465 0.216 0.000 0.000 0.784 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 5 0.0404 0.9094 0.000 0.000 0.000 0.012 0.988
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.1478 0.9292 0.000 0.936 0.000 0.064 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 4 0.3612 0.6955 0.268 0.000 0.000 0.732 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.2966 0.8295 0.000 0.816 0.000 0.184 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 4 0.1478 0.7962 0.064 0.000 0.000 0.936 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.2424 0.6643 0.868 0.000 0.132 0.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.5537 0.5591 0.192 0.000 0.648 0.160 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.3366 0.5940 0.768 0.000 0.000 0.232 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.2719 0.6823 0.852 0.000 0.004 0.144 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 4 0.3534 0.6800 0.256 0.000 0.000 0.744 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.9027 0.000 0.000 1.000 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.1557 0.8813 0.000 0.008 0.940 0.000 0.052
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.0771 0.7384 0.976 0.000 0.004 0.020 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.3593 0.6869 0.828 0.000 0.084 0.088 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 4 0.1478 0.7962 0.064 0.000 0.000 0.936 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.3224 0.7798 0.160 0.000 0.000 0.016 0.824
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9404 0.000 1.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.9027 0.000 0.000 1.000 0.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.3395 0.5883 0.764 0.000 0.000 0.236 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.0324 0.9100 0.004 0.000 0.000 0.004 0.992
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 4 0.4303 0.7367 0.192 0.000 0.000 0.752 0.056
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.1684 0.7553 0.028 0.008 0.008 0.940 0.000 0.016
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0146 0.9104 0.000 0.000 0.996 0.004 0.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 6 0.4236 0.3919 0.000 0.000 0.308 0.036 0.000 0.656
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 6 0.3850 0.5249 0.340 0.000 0.000 0.004 0.004 0.652
#> 78F79407-D49F-4FA2-B09F-0665C502827C 6 0.5367 0.4592 0.300 0.000 0.000 0.004 0.124 0.572
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.0363 0.8840 0.000 0.000 0.000 0.012 0.988 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.5169 0.1772 0.000 0.432 0.504 0.024 0.000 0.040
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9635 0.000 1.000 0.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.1267 0.8720 0.000 0.000 0.000 0.060 0.940 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.2669 0.7284 0.836 0.000 0.000 0.008 0.000 0.156
#> B710293C-41D3-4A2E-8104-5402F91DD859 5 0.1297 0.8862 0.040 0.000 0.000 0.012 0.948 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0632 0.7630 0.976 0.000 0.000 0.024 0.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0146 0.9104 0.000 0.000 0.996 0.004 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.2823 0.8449 0.000 0.204 0.000 0.796 0.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 6 0.1194 0.7346 0.008 0.000 0.004 0.032 0.000 0.956
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0146 0.9104 0.000 0.000 0.996 0.004 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0405 0.9073 0.000 0.000 0.988 0.008 0.000 0.004
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.2135 0.7453 0.872 0.000 0.000 0.000 0.000 0.128
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.0405 0.8863 0.008 0.000 0.000 0.000 0.988 0.004
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0748 0.9043 0.000 0.000 0.976 0.004 0.016 0.004
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9635 0.000 1.000 0.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 6 0.5146 0.4895 0.300 0.000 0.000 0.004 0.100 0.596
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.4836 0.1987 0.564 0.000 0.000 0.004 0.052 0.380
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 6 0.4116 0.3770 0.416 0.000 0.000 0.012 0.000 0.572
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#> EFE5A302-D138-4044-A301-5C5FD1C24836 5 0.3231 0.7869 0.180 0.000 0.000 0.012 0.800 0.008
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#> 89C45456-9392-4EB3-9A82-A130B6702AAF 4 0.2617 0.7051 0.080 0.000 0.004 0.876 0.000 0.040
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#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.1434 0.8029 0.012 0.048 0.000 0.940 0.000 0.000
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#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 6 0.1713 0.7162 0.000 0.000 0.044 0.028 0.000 0.928
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.5580 0.5454 0.024 0.000 0.620 0.168 0.000 0.188
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.9635 0.000 1.000 0.000 0.000 0.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 6 0.3812 0.6205 0.264 0.000 0.000 0.024 0.000 0.712
#> 6752EED9-7990-433F-A206-D5398C396471 6 0.2234 0.7068 0.124 0.000 0.000 0.004 0.000 0.872
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.4117 0.5882 0.716 0.000 0.000 0.056 0.000 0.228
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0146 0.9104 0.000 0.000 0.996 0.004 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.1484 0.8932 0.000 0.008 0.944 0.004 0.040 0.004
#> 1ABBEF80-508F-4247-B43D-3E549372113B 6 0.1226 0.7312 0.004 0.000 0.004 0.040 0.000 0.952
#> 835AAE7F-F873-4D11-8845-232D261A38DF 6 0.3020 0.6996 0.100 0.000 0.024 0.004 0.016 0.856
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0508 0.7650 0.984 0.000 0.000 0.012 0.000 0.004
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.3187 0.7523 0.012 0.000 0.000 0.004 0.796 0.188
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9635 0.000 1.000 0.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9635 0.000 1.000 0.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0146 0.9104 0.000 0.000 0.996 0.004 0.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 6 0.3799 0.6051 0.276 0.000 0.000 0.020 0.000 0.704
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.0767 0.8860 0.008 0.000 0.000 0.012 0.976 0.004
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.2527 0.7552 0.868 0.000 0.000 0.000 0.024 0.108
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 17469 rows and 309 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 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 0.959 0.984 0.3493 0.648 0.648
#> 3 3 0.844 0.860 0.938 0.6432 0.787 0.672
#> 4 4 0.625 0.339 0.674 0.1834 0.833 0.638
#> 5 5 0.699 0.718 0.857 0.0824 0.754 0.397
#> 6 6 0.674 0.657 0.793 0.1025 0.911 0.663
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.000 0.9907 1.000 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.000 0.9907 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.000 0.9907 1.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.000 0.9907 1.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.000 0.9907 1.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.000 0.9907 1.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.767 0.6928 0.776 0.224
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.000 0.9591 0.000 1.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.000 0.9907 1.000 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.000 0.9907 1.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.000 0.9907 1.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.000 0.9907 1.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.000 0.9907 1.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.000 0.9591 0.000 1.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.000 0.9907 1.000 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.000 0.9907 1.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.000 0.9907 1.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.000 0.9907 1.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.000 0.9907 1.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.000 0.9907 1.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.000 0.9591 0.000 1.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.000 0.9907 1.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.000 0.9907 1.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.000 0.9907 1.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.000 0.9907 1.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.000 0.9907 1.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.000 0.9907 1.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.000 0.9907 1.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.000 0.9591 0.000 1.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.000 0.9591 0.000 1.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.000 0.9907 1.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.000 0.9907 1.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.000 0.9907 1.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.000 0.9907 1.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.000 0.9591 0.000 1.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.000 0.9907 1.000 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.000 0.9907 1.000 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.000 0.9591 0.000 1.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.000 0.9907 1.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.000 0.9907 1.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.000 0.9591 0.000 1.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.000 0.9907 1.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.000 0.9907 1.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.000 0.9907 1.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.000 0.9907 1.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.000 0.9907 1.000 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.000 0.9907 1.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.000 0.9591 0.000 1.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.000 0.9907 1.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.000 0.9591 0.000 1.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.000 0.9907 1.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.000 0.9591 0.000 1.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.000 0.9907 1.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.000 0.9907 1.000 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.000 0.9907 1.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.000 0.9907 1.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 1 0.000 0.9907 1.000 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.000 0.9907 1.000 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.000 0.9591 0.000 1.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.000 0.9907 1.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.000 0.9907 1.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.000 0.9907 1.000 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.000 0.9907 1.000 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.000 0.9907 1.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.000 0.9591 0.000 1.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 1 0.000 0.9907 1.000 0.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.000 0.9907 1.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.000 0.9907 1.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 1 0.000 0.9907 1.000 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.722 0.7509 0.200 0.800
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.000 0.9907 1.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.000 0.9907 1.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.000 0.9907 1.000 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.000 0.9907 1.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.000 0.9907 1.000 0.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.000 0.9907 1.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.000 0.9907 1.000 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.000 0.9591 0.000 1.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 1 0.000 0.9907 1.000 0.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.000 0.9591 0.000 1.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.000 0.9907 1.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 1 0.000 0.9907 1.000 0.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.000 0.9907 1.000 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.000 0.9907 1.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.000 0.9907 1.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.000 0.9907 1.000 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.000 0.9907 1.000 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.416 0.8842 0.084 0.916
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.000 0.9591 0.000 1.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 1 0.000 0.9907 1.000 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.000 0.9907 1.000 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.000 0.9907 1.000 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.000 0.9591 0.000 1.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.000 0.9907 1.000 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.000 0.9907 1.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.000 0.9907 1.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.000 0.9907 1.000 0.000
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.000 0.9907 1.000 0.000
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.000 0.9907 1.000 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 1 0.000 0.9907 1.000 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 1 0.000 0.9907 1.000 0.000
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.000 0.9591 0.000 1.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.000 0.9591 0.000 1.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.000 0.9907 1.000 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.000 0.9907 1.000 0.000
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.000 0.9591 0.000 1.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 1 0.000 0.9907 1.000 0.000
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 1 0.000 0.9907 1.000 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.000 0.9907 1.000 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 1 0.932 0.4336 0.652 0.348
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.000 0.9591 0.000 1.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.000 0.9907 1.000 0.000
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 1 0.000 0.9907 1.000 0.000
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 1 0.000 0.9907 1.000 0.000
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.000 0.9907 1.000 0.000
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.000 0.9907 1.000 0.000
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.000 0.9907 1.000 0.000
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.000 0.9907 1.000 0.000
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.000 0.9907 1.000 0.000
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.000 0.9907 1.000 0.000
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.000 0.9907 1.000 0.000
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.000 0.9907 1.000 0.000
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 1 0.000 0.9907 1.000 0.000
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.000 0.9907 1.000 0.000
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 1 0.000 0.9907 1.000 0.000
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 1 0.469 0.8774 0.900 0.100
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 1 0.971 0.2901 0.600 0.400
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.000 0.9907 1.000 0.000
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 1 0.000 0.9907 1.000 0.000
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 1 0.000 0.9907 1.000 0.000
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 1 0.000 0.9907 1.000 0.000
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.000 0.9907 1.000 0.000
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.000 0.9591 0.000 1.000
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 1 0.000 0.9907 1.000 0.000
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.000 0.9591 0.000 1.000
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.000 0.9591 0.000 1.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.000 0.9907 1.000 0.000
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.000 0.9591 0.000 1.000
#> 9492A322-37CA-4582-AC68-66B5D80778AF 2 0.000 0.9591 0.000 1.000
#> 993399A4-1B9F-4258-B2D0-155AD58A2E82 1 0.000 0.9907 1.000 0.000
#> 7B7DC93D-5494-4E69-BE07-2967887182F9 1 0.000 0.9907 1.000 0.000
#> 29BCBA51-2580-473D-9CF7-BEDBD0DBAD1B 2 0.000 0.9591 0.000 1.000
#> 40855647-E942-4F32-90B7-BEB921929BFB 1 0.000 0.9907 1.000 0.000
#> 0DC723D0-7C68-4495-A4B9-2DF2FF19AB14 2 0.993 0.2237 0.452 0.548
#> 7540005F-57E0-4E2E-A8A2-BEF2B0F333B1 2 0.000 0.9591 0.000 1.000
#> EB1DDB14-4076-4C2C-B911-390C17C21486 1 0.000 0.9907 1.000 0.000
#> 9EA70EC4-8BA0-4E3D-B3CB-A68D19E89868 1 0.000 0.9907 1.000 0.000
#> B04E2E50-0A6E-4224-A825-1714D12E5669 2 0.000 0.9591 0.000 1.000
#> B0BF5E01-536D-40FF-9C24-CBBD611E2FC2 1 0.000 0.9907 1.000 0.000
#> 7B6B1788-B297-4442-B6BE-B7CE8754491E 1 0.000 0.9907 1.000 0.000
#> A090D00C-34DF-4906-A517-4803C4C9A332 1 0.000 0.9907 1.000 0.000
#> 340D44A6-9BEA-412C-9973-D9ABD6692255 1 0.000 0.9907 1.000 0.000
#> E8D0D1E7-E5A8-4014-80C1-0245F90F4358 2 0.000 0.9591 0.000 1.000
#> 19EA1494-8572-40E1-B9BB-3739F47B607D 1 0.000 0.9907 1.000 0.000
#> 1C1B4793-8DAF-4763-BA4D-C4E869A4ED35 1 0.000 0.9907 1.000 0.000
#> 45BF59B3-95BD-4196-ABAA-4C4F0DB38572 1 1.000 -0.0536 0.504 0.496
#> 47B5A2A7-7E13-4558-99D2-067F5075C6A4 1 0.000 0.9907 1.000 0.000
#> E94638E8-CB51-4FBB-8BCB-4BFD7A812291 1 0.000 0.9907 1.000 0.000
#> A17352A8-0D3C-4545-8136-7DAE2FB0E102 2 0.971 0.3738 0.400 0.600
#> B18A6F95-D4ED-416B-B5A1-9A4934865D0D 2 0.000 0.9591 0.000 1.000
#> 33E92C5F-0C42-4549-AD5B-0A064182A272 1 0.000 0.9907 1.000 0.000
#> E041B375-3E60-4F18-A6EF-D1C249E3B8EE 1 0.000 0.9907 1.000 0.000
#> EDF90AF6-6C64-4BD2-AADF-8D7D188650B2 2 0.000 0.9591 0.000 1.000
#> 569320D2-316C-4E2D-B7B3-D7D5C4DAD42D 1 0.000 0.9907 1.000 0.000
#> AFFB223D-DAE9-4567-9EF2-8E4DF9D8782D 2 0.000 0.9591 0.000 1.000
#> 56FC9454-0A6A-4CC3-95C4-BE0E0D0BAFCE 2 0.000 0.9591 0.000 1.000
#> 43226365-FAEF-46C5-AF1B-5C6C2BED84FF 1 0.000 0.9907 1.000 0.000
#> 1536110A-B42A-4A84-9474-9895321FDCE9 2 0.904 0.5549 0.320 0.680
#> 812255DD-536B-4216-90B1-27D5AB339BE2 1 0.000 0.9907 1.000 0.000
#> 5D4563D6-68B7-4C9D-A3F4-AA7D45D5112C 2 0.000 0.9591 0.000 1.000
#> BAA39781-DB94-473C-98B1-FA6CD3E1C67A 1 0.000 0.9907 1.000 0.000
#> C1411CDA-814D-4E21-8929-C0F77858828F 1 0.000 0.9907 1.000 0.000
#> EFE2F248-C13E-4E8D-9153-8C903848AC4A 1 0.000 0.9907 1.000 0.000
#> D3939C84-D1D6-4060-9F91-AEB222A9BDD5 1 0.000 0.9907 1.000 0.000
#> EABD2987-8C1E-49E5-94AF-C0BDE5335A48 1 0.000 0.9907 1.000 0.000
#> F4BE2ABE-2CEB-4A6A-B8EC-0355F8C63B9B 1 0.000 0.9907 1.000 0.000
#> 627BC251-D217-4955-B718-6B9D6DEA1756 1 0.000 0.9907 1.000 0.000
#> 31B54613-A20E-4039-BB8B-9B52104CE418 1 0.000 0.9907 1.000 0.000
#> 3F292B7C-A535-4DBD-BC20-CB4F85A1C94B 1 0.000 0.9907 1.000 0.000
#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 2 0.000 0.9591 0.000 1.000
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.000 0.9591 0.000 1.000
#> 4588817E-1068-4A78-86B6-4674A0112DDA 1 0.000 0.9907 1.000 0.000
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 2 0.000 0.9591 0.000 1.000
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.000 0.9907 1.000 0.000
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.000 0.9907 1.000 0.000
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.000 0.9591 0.000 1.000
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.000 0.9907 1.000 0.000
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 1 0.000 0.9907 1.000 0.000
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.000 0.9591 0.000 1.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.000 0.9591 0.000 1.000
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.996 0.1839 0.464 0.536
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.000 0.9907 1.000 0.000
#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.000 0.9907 1.000 0.000
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.000 0.9907 1.000 0.000
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.000 0.9907 1.000 0.000
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.000 0.9907 1.000 0.000
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.000 0.9591 0.000 1.000
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.000 0.9907 1.000 0.000
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.000 0.9907 1.000 0.000
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.000 0.9907 1.000 0.000
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.000 0.9907 1.000 0.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 1 0.000 0.9907 1.000 0.000
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.000 0.9907 1.000 0.000
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.000 0.9907 1.000 0.000
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.000 0.9907 1.000 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.000 0.9907 1.000 0.000
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.000 0.9907 1.000 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 1 0.000 0.9907 1.000 0.000
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.000 0.9907 1.000 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.000 0.9591 0.000 1.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.745 0.7344 0.212 0.788
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.000 0.9907 1.000 0.000
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.000 0.9907 1.000 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.000 0.9907 1.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.000 0.9907 1.000 0.000
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.000 0.9907 1.000 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.000 0.9591 0.000 1.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.000 0.9907 1.000 0.000
#> DD51C17C-300F-44A4-955A-C9BC85417842 1 0.000 0.9907 1.000 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.000 0.9907 1.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.000 0.9907 1.000 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.963 0.4031 0.388 0.612
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 1 0.000 0.9907 1.000 0.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.000 0.9591 0.000 1.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.000 0.9591 0.000 1.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.000 0.9591 0.000 1.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.000 0.9907 1.000 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 1 0.327 0.9260 0.940 0.060
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.000 0.9907 1.000 0.000
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.000 0.9907 1.000 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.000 0.9907 1.000 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.000 0.9907 1.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.000 0.9907 1.000 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.000 0.9907 1.000 0.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.000 0.9907 1.000 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.000 0.9591 0.000 1.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.000 0.9907 1.000 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.000 0.9907 1.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.000 0.9907 1.000 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.000 0.9591 0.000 1.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.000 0.9591 0.000 1.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.000 0.9907 1.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.000 0.9591 0.000 1.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.808 0.6795 0.248 0.752
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.000 0.9907 1.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.000 0.9907 1.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.000 0.9591 0.000 1.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.000 0.9591 0.000 1.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.000 0.9907 1.000 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.000 0.9907 1.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.000 0.9907 1.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.000 0.9591 0.000 1.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.000 0.9907 1.000 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.000 0.9591 0.000 1.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.000 0.9907 1.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.000 0.9907 1.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.000 0.9907 1.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.000 0.9907 1.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.000 0.9907 1.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.000 0.9591 0.000 1.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.000 0.9907 1.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.000 0.9907 1.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.000 0.9907 1.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.000 0.9907 1.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.000 0.9907 1.000 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.000 0.9907 1.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.000 0.9907 1.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.000 0.9907 1.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.000 0.9907 1.000 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.000 0.9907 1.000 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.000 0.9907 1.000 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.000 0.9907 1.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.000 0.9591 0.000 1.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.000 0.9907 1.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.000 0.9907 1.000 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.000 0.9907 1.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.000 0.9907 1.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.000 0.9907 1.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.000 0.9591 0.000 1.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.000 0.9907 1.000 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 1 0.000 0.9907 1.000 0.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.000 0.9907 1.000 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 1 0.000 0.9907 1.000 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.000 0.9907 1.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.000 0.9907 1.000 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.000 0.9907 1.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.000 0.9907 1.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.000 0.9591 0.000 1.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.000 0.9907 1.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 1 0.997 0.0582 0.532 0.468
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.000 0.9907 1.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.000 0.9907 1.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.000 0.9907 1.000 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.000 0.9907 1.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.000 0.9907 1.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.000 0.9907 1.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.000 0.9907 1.000 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.000 0.9907 1.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.000 0.9907 1.000 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.000 0.9907 1.000 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.000 0.9907 1.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.000 0.9907 1.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.000 0.9907 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.000 0.9591 0.000 1.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.000 0.9591 0.000 1.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.000 0.9907 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.000 0.9907 1.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.000 0.9907 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.000 0.9907 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.0592 0.93083 0.988 0.000 0.012
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.90016 0.000 0.000 1.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.4062 0.82703 0.836 0.000 0.164
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.93033 1.000 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.93033 1.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.2165 0.91260 0.936 0.000 0.064
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.8727 0.39139 0.588 0.176 0.236
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.93803 0.000 1.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.4974 0.69359 0.236 0.000 0.764
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0424 0.93120 0.992 0.000 0.008
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0747 0.93051 0.984 0.000 0.016
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.1529 0.92284 0.960 0.000 0.040
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.2066 0.87546 0.060 0.000 0.940
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.93803 0.000 1.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.0000 0.93033 1.000 0.000 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.90016 0.000 0.000 1.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0000 0.90016 0.000 0.000 1.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.93033 1.000 0.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.2066 0.91273 0.940 0.000 0.060
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0592 0.89882 0.012 0.000 0.988
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.93803 0.000 1.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.93033 1.000 0.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.2066 0.91273 0.940 0.000 0.060
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.93033 1.000 0.000 0.000
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#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.6095 0.40290 0.608 0.000 0.392
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.0592 0.92987 0.988 0.000 0.012
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 3 0.5810 0.49701 0.336 0.000 0.664
#> FD544083-9BD5-4036-BD81-0352B67CC45C 3 0.0237 0.89865 0.004 0.000 0.996
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0000 0.93033 1.000 0.000 0.000
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.0424 0.93063 0.992 0.000 0.008
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.2625 0.90009 0.916 0.000 0.084
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.2165 0.91457 0.936 0.000 0.064
#> 9EEECA0E-530D-4724-B016-A716F0782148 1 0.1031 0.92828 0.976 0.000 0.024
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.0000 0.93033 1.000 0.000 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0000 0.93803 0.000 1.000 0.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.5708 0.65082 0.204 0.768 0.028
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.0424 0.93063 0.992 0.000 0.008
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.0424 0.93063 0.992 0.000 0.008
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.2261 0.91233 0.932 0.000 0.068
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.3340 0.87645 0.880 0.000 0.120
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0237 0.93060 0.996 0.000 0.004
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.0000 0.93803 0.000 1.000 0.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.0000 0.93033 1.000 0.000 0.000
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.0747 0.89706 0.016 0.000 0.984
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0000 0.93033 1.000 0.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.2261 0.91233 0.932 0.000 0.068
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.6314 0.34645 0.392 0.604 0.004
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.2066 0.87546 0.060 0.000 0.940
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.93803 0.000 1.000 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.93803 0.000 1.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.93803 0.000 1.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.0424 0.89694 0.008 0.000 0.992
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.2280 0.87817 0.052 0.008 0.940
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.2261 0.91233 0.932 0.000 0.068
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.2165 0.91260 0.936 0.000 0.064
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.2165 0.91260 0.936 0.000 0.064
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.2066 0.87546 0.060 0.000 0.940
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.6305 0.01008 0.516 0.000 0.484
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.1860 0.91670 0.948 0.000 0.052
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.2796 0.89899 0.908 0.000 0.092
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.93803 0.000 1.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.0000 0.93033 1.000 0.000 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.5905 0.42951 0.648 0.000 0.352
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.1289 0.92435 0.968 0.000 0.032
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.93803 0.000 1.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.93803 0.000 1.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.2066 0.91273 0.940 0.000 0.060
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.93803 0.000 1.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.5178 0.59727 0.256 0.744 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.5733 0.50646 0.676 0.000 0.324
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0000 0.93033 1.000 0.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.93803 0.000 1.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.93803 0.000 1.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.0000 0.90016 0.000 0.000 1.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.6302 -0.06742 0.520 0.000 0.480
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 3 0.4974 0.69359 0.236 0.000 0.764
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.93803 0.000 1.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.4555 0.78615 0.800 0.000 0.200
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.93803 0.000 1.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.3752 0.84061 0.856 0.000 0.144
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.2261 0.91140 0.932 0.000 0.068
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.93033 1.000 0.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.0237 0.89865 0.004 0.000 0.996
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.2165 0.91260 0.936 0.000 0.064
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.93803 0.000 1.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.2959 0.85906 0.100 0.000 0.900
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.93033 1.000 0.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.2066 0.91273 0.940 0.000 0.060
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0747 0.92561 0.984 0.000 0.016
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0424 0.93063 0.992 0.000 0.008
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0424 0.93063 0.992 0.000 0.008
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.6045 0.40315 0.620 0.000 0.380
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.2537 0.87001 0.080 0.000 0.920
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0424 0.93063 0.992 0.000 0.008
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0424 0.93063 0.992 0.000 0.008
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.0000 0.93033 1.000 0.000 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.93033 1.000 0.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.93803 0.000 1.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.93033 1.000 0.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.2165 0.91462 0.936 0.000 0.064
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.2165 0.91260 0.936 0.000 0.064
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.2356 0.89048 0.928 0.000 0.072
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.2165 0.91260 0.936 0.000 0.064
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.93803 0.000 1.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.1643 0.92269 0.956 0.000 0.044
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 1 0.6189 0.37323 0.632 0.004 0.364
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.0424 0.93063 0.992 0.000 0.008
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 1 0.0237 0.93060 0.996 0.000 0.004
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.0424 0.93063 0.992 0.000 0.008
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.0000 0.90016 0.000 0.000 1.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.2066 0.91273 0.940 0.000 0.060
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.3686 0.84629 0.860 0.000 0.140
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.93803 0.000 1.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0237 0.93053 0.996 0.000 0.004
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 1 0.9624 0.17664 0.472 0.256 0.272
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0424 0.93063 0.992 0.000 0.008
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.6126 0.35783 0.600 0.000 0.400
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.1031 0.92413 0.976 0.000 0.024
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.0000 0.93033 1.000 0.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.93033 1.000 0.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.93033 1.000 0.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.0424 0.93063 0.992 0.000 0.008
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.2066 0.87546 0.060 0.000 0.940
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.0000 0.90016 0.000 0.000 1.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.0237 0.93053 0.996 0.000 0.004
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.4121 0.81266 0.832 0.000 0.168
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0424 0.93063 0.992 0.000 0.008
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.2878 0.89006 0.904 0.000 0.096
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.93803 0.000 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.93803 0.000 1.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.1643 0.88548 0.044 0.000 0.956
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0237 0.93053 0.996 0.000 0.004
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0237 0.93060 0.996 0.000 0.004
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0237 0.93060 0.996 0.000 0.004
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.5126 0.19276 0.444 0.000 0.004 0.552
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.77490 0.000 0.000 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.6336 0.09338 0.608 0.000 0.088 0.304
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.5000 -0.13580 0.504 0.000 0.000 0.496
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.5000 -0.13580 0.504 0.000 0.000 0.496
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.1302 0.28171 0.956 0.000 0.000 0.044
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.6770 0.05097 0.408 0.096 0.496 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.89843 0.000 1.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.5000 0.58828 0.496 0.000 0.504 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.4961 -0.10250 0.552 0.000 0.000 0.448
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.4994 -0.11859 0.520 0.000 0.000 0.480
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.4855 -0.06387 0.600 0.000 0.000 0.400
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.77490 0.000 0.000 1.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.4040 0.83244 0.000 0.752 0.000 0.248
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 4 0.4356 0.44921 0.292 0.000 0.000 0.708
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.77490 0.000 0.000 1.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0817 0.77207 0.024 0.000 0.976 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.5000 -0.13665 0.500 0.000 0.000 0.500
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.4072 0.15577 0.748 0.000 0.000 0.252
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0469 0.77342 0.012 0.000 0.988 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.89843 0.000 1.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.5000 -0.13580 0.504 0.000 0.000 0.496
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.2081 0.27526 0.916 0.000 0.000 0.084
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 4 0.5000 0.10949 0.500 0.000 0.000 0.500
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.77490 0.000 0.000 1.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 4 0.4382 0.43114 0.296 0.000 0.000 0.704
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.4790 0.22949 0.380 0.000 0.620 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.4999 -0.12196 0.508 0.000 0.000 0.492
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.89843 0.000 1.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.1940 0.88756 0.000 0.924 0.000 0.076
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.5000 -0.13580 0.504 0.000 0.000 0.496
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.2081 0.26072 0.916 0.000 0.084 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.5000 -0.13580 0.504 0.000 0.000 0.496
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.5277 -0.11792 0.532 0.000 0.008 0.460
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.89843 0.000 1.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 4 0.5000 0.10949 0.500 0.000 0.000 0.500
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.0707 0.29646 0.980 0.000 0.000 0.020
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.89843 0.000 1.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 4 0.5000 0.10949 0.500 0.000 0.000 0.500
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.2867 0.26527 0.884 0.000 0.012 0.104
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.2760 0.87592 0.000 0.872 0.000 0.128
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0000 0.77490 0.000 0.000 1.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0000 0.77490 0.000 0.000 1.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.4999 -0.12196 0.508 0.000 0.000 0.492
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.2593 0.75092 0.104 0.000 0.892 0.004
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0336 0.29699 0.992 0.000 0.000 0.008
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.4999 -0.12196 0.508 0.000 0.000 0.492
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.89843 0.000 1.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0000 0.77490 0.000 0.000 1.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.4283 0.82671 0.000 0.740 0.004 0.256
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.4999 -0.12196 0.508 0.000 0.000 0.492
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.3907 0.82987 0.000 0.768 0.000 0.232
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0927 0.76746 0.008 0.000 0.976 0.016
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.4999 -0.12196 0.508 0.000 0.000 0.492
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.4999 -0.12196 0.508 0.000 0.000 0.492
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.0000 0.77490 0.000 0.000 1.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0000 0.77490 0.000 0.000 1.000 0.000
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#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.7323 0.42157 0.156 0.456 0.000 0.388
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.0000 0.77490 0.000 0.000 1.000 0.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.89843 0.000 1.000 0.000 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.89843 0.000 1.000 0.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.89843 0.000 1.000 0.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.1004 0.77208 0.024 0.000 0.972 0.004
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.0000 0.77490 0.000 0.000 1.000 0.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.1716 0.27590 0.936 0.000 0.000 0.064
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0469 0.29678 0.988 0.000 0.000 0.012
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0469 0.29677 0.988 0.000 0.000 0.012
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.0000 0.77490 0.000 0.000 1.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.4679 0.30642 0.352 0.000 0.648 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.4543 0.01383 0.676 0.000 0.000 0.324
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0592 0.29337 0.984 0.000 0.016 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.89843 0.000 1.000 0.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.5000 -0.13580 0.504 0.000 0.000 0.496
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.4925 0.07714 0.428 0.000 0.572 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 4 0.4713 0.33171 0.360 0.000 0.000 0.640
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.4103 0.82882 0.000 0.744 0.000 0.256
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.1302 0.89296 0.000 0.956 0.000 0.044
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.4072 0.15577 0.748 0.000 0.000 0.252
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.4040 0.83303 0.000 0.752 0.000 0.248
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.4245 0.70529 0.064 0.820 0.000 0.116
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.7073 -0.07117 0.464 0.000 0.412 0.124
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.5000 -0.13580 0.504 0.000 0.000 0.496
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.2814 0.87463 0.000 0.868 0.000 0.132
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.89843 0.000 1.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.0000 0.77490 0.000 0.000 1.000 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 4 0.7416 0.21736 0.192 0.000 0.312 0.496
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 3 0.5000 0.58828 0.496 0.000 0.504 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.2814 0.87463 0.000 0.868 0.000 0.132
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.4100 0.24853 0.832 0.000 0.076 0.092
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.4072 0.83096 0.000 0.748 0.000 0.252
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.2399 0.27642 0.920 0.000 0.048 0.032
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.4252 0.15500 0.744 0.000 0.004 0.252
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.5000 -0.13665 0.500 0.000 0.000 0.500
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.5000 0.58828 0.496 0.000 0.504 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0336 0.29775 0.992 0.000 0.000 0.008
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.89843 0.000 1.000 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.2611 0.72205 0.008 0.000 0.896 0.096
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 4 0.5000 0.10949 0.500 0.000 0.000 0.500
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.1474 0.27737 0.948 0.000 0.000 0.052
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.5511 -0.13942 0.500 0.000 0.016 0.484
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.4999 -0.12196 0.508 0.000 0.000 0.492
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.4999 -0.12196 0.508 0.000 0.000 0.492
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 4 0.6528 0.20144 0.300 0.000 0.104 0.596
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.1890 0.74733 0.008 0.000 0.936 0.056
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.4999 -0.12196 0.508 0.000 0.000 0.492
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.4999 -0.12196 0.508 0.000 0.000 0.492
#> CCDB0290-91DA-4089-84A6-4434BA028D30 4 0.4103 0.46824 0.256 0.000 0.000 0.744
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 4 0.4967 0.21887 0.452 0.000 0.000 0.548
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.89843 0.000 1.000 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.5000 -0.13665 0.500 0.000 0.000 0.500
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.2011 0.26874 0.920 0.000 0.000 0.080
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.1637 0.27257 0.940 0.000 0.000 0.060
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 4 0.5781 0.13657 0.480 0.000 0.028 0.492
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.2345 0.25612 0.900 0.000 0.000 0.100
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.89843 0.000 1.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.5560 -0.07762 0.584 0.000 0.024 0.392
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 4 0.7221 0.15698 0.168 0.000 0.308 0.524
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.5296 -0.13420 0.500 0.000 0.008 0.492
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 4 0.5147 0.17454 0.460 0.004 0.000 0.536
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 4 0.4250 0.46219 0.276 0.000 0.000 0.724
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.4999 0.59105 0.492 0.000 0.508 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0336 0.29699 0.992 0.000 0.000 0.008
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.4516 0.15176 0.736 0.000 0.012 0.252
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.4103 0.82882 0.000 0.744 0.000 0.256
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.4999 -0.12196 0.508 0.000 0.000 0.492
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 1 0.5627 0.07685 0.696 0.024 0.024 0.256
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.4999 -0.12196 0.508 0.000 0.000 0.492
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.5879 0.05015 0.672 0.000 0.080 0.248
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.6380 -0.16182 0.500 0.000 0.064 0.436
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.5000 -0.13665 0.500 0.000 0.000 0.500
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.5000 -0.13665 0.500 0.000 0.000 0.500
#> 6752EED9-7990-433F-A206-D5398C396471 4 0.4103 0.46824 0.256 0.000 0.000 0.744
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.4999 -0.12196 0.508 0.000 0.000 0.492
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.77490 0.000 0.000 1.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.4040 0.69932 0.248 0.000 0.752 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.5296 -0.13420 0.500 0.000 0.008 0.492
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.6554 -0.09259 0.540 0.000 0.084 0.376
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.4999 -0.12196 0.508 0.000 0.000 0.492
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.4072 0.15577 0.748 0.000 0.000 0.252
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.89843 0.000 1.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.89843 0.000 1.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.77490 0.000 0.000 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.4999 -0.12196 0.508 0.000 0.000 0.492
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 4 0.4356 0.43408 0.292 0.000 0.000 0.708
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.5000 -0.13665 0.500 0.000 0.000 0.500
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.3010 0.72213 0.824 0.000 0.000 0.172 0.004
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.84737 0.000 0.000 1.000 0.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 5 0.3649 0.48521 0.088 0.000 0.088 0.000 0.824
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.1043 0.85644 0.960 0.000 0.000 0.000 0.040
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.1121 0.85470 0.956 0.000 0.000 0.000 0.044
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.3452 0.70430 0.244 0.000 0.000 0.000 0.756
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.4731 0.35570 0.328 0.032 0.640 0.000 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0290 0.92596 0.000 0.992 0.000 0.008 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.4430 0.40275 0.012 0.000 0.360 0.000 0.628
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.1638 0.82033 0.932 0.000 0.000 0.004 0.064
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0703 0.85721 0.976 0.000 0.000 0.000 0.024
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.3010 0.71277 0.824 0.000 0.000 0.004 0.172
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.84737 0.000 0.000 1.000 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.3636 0.64870 0.000 0.272 0.000 0.728 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.3452 0.63587 0.756 0.000 0.000 0.000 0.244
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.84737 0.000 0.000 1.000 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0000 0.84737 0.000 0.000 1.000 0.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0290 0.86754 0.992 0.000 0.000 0.000 0.008
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.0000 0.56839 0.000 0.000 0.000 0.000 1.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0000 0.84737 0.000 0.000 1.000 0.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.93117 0.000 1.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.1270 0.84966 0.948 0.000 0.000 0.000 0.052
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 5 0.4151 0.63574 0.344 0.000 0.000 0.004 0.652
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0290 0.86754 0.992 0.000 0.000 0.000 0.008
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.84737 0.000 0.000 1.000 0.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.4201 0.46397 0.592 0.000 0.000 0.000 0.408
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.3913 0.38134 0.324 0.000 0.676 0.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0000 0.86782 1.000 0.000 0.000 0.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.93117 0.000 1.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.2966 0.72862 0.000 0.816 0.000 0.184 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.1270 0.84966 0.948 0.000 0.000 0.000 0.052
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.4718 0.68045 0.344 0.000 0.028 0.000 0.628
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.1270 0.84966 0.948 0.000 0.000 0.000 0.052
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.1502 0.83496 0.940 0.000 0.004 0.000 0.056
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.93117 0.000 1.000 0.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.0404 0.86732 0.988 0.000 0.000 0.000 0.012
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.4639 0.67407 0.344 0.000 0.000 0.024 0.632
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.93117 0.000 1.000 0.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0290 0.86754 0.992 0.000 0.000 0.000 0.008
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 5 0.3561 0.67936 0.260 0.000 0.000 0.000 0.740
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 4 0.4262 0.25521 0.000 0.440 0.000 0.560 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0000 0.84737 0.000 0.000 1.000 0.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0000 0.84737 0.000 0.000 1.000 0.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0162 0.86767 0.996 0.000 0.000 0.004 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.2953 0.69733 0.012 0.000 0.844 0.000 0.144
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 5 0.3913 0.68220 0.324 0.000 0.000 0.000 0.676
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.86782 1.000 0.000 0.000 0.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.93117 0.000 1.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0000 0.84737 0.000 0.000 1.000 0.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.0162 0.86283 0.000 0.004 0.000 0.996 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0162 0.86767 0.996 0.000 0.000 0.004 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 4 0.4434 0.22546 0.000 0.460 0.000 0.536 0.004
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0000 0.84737 0.000 0.000 1.000 0.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.0000 0.86782 1.000 0.000 0.000 0.000 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0000 0.86782 1.000 0.000 0.000 0.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.0000 0.84737 0.000 0.000 1.000 0.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0000 0.84737 0.000 0.000 1.000 0.000 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 5 0.4101 0.66552 0.372 0.000 0.000 0.000 0.628
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.2732 0.76866 0.000 0.840 0.000 0.160 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0671 0.86667 0.980 0.000 0.000 0.004 0.016
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.3932 0.68303 0.328 0.000 0.000 0.000 0.672
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.0162 0.86767 0.996 0.000 0.000 0.004 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 5 0.4654 0.67873 0.348 0.000 0.024 0.000 0.628
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.86782 1.000 0.000 0.000 0.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.93117 0.000 1.000 0.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.3895 0.50870 0.000 0.000 0.680 0.000 0.320
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0162 0.86767 0.996 0.000 0.000 0.004 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 5 0.4341 0.39738 0.008 0.000 0.364 0.000 0.628
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#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.93117 0.000 1.000 0.000 0.000 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.93117 0.000 1.000 0.000 0.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.93117 0.000 1.000 0.000 0.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.0162 0.84478 0.000 0.000 0.996 0.000 0.004
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.0000 0.84737 0.000 0.000 1.000 0.000 0.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 5 0.4268 0.56225 0.444 0.000 0.000 0.000 0.556
#> B55743F2-4D63-4375-85D3-F58281CFD852 5 0.3895 0.68332 0.320 0.000 0.000 0.000 0.680
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 5 0.3949 0.67560 0.332 0.000 0.000 0.000 0.668
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.0000 0.84737 0.000 0.000 1.000 0.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.3913 0.38134 0.324 0.000 0.676 0.000 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.3636 0.52132 0.728 0.000 0.000 0.000 0.272
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 5 0.3932 0.68303 0.328 0.000 0.000 0.000 0.672
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.93117 0.000 1.000 0.000 0.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.1430 0.84978 0.944 0.000 0.000 0.004 0.052
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.3949 0.36916 0.332 0.000 0.668 0.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.4273 0.36117 0.552 0.000 0.000 0.000 0.448
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 4 0.0162 0.86283 0.000 0.004 0.000 0.996 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.3086 0.72870 0.004 0.816 0.000 0.180 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 5 0.0000 0.56839 0.000 0.000 0.000 0.000 1.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 4 0.2424 0.79642 0.000 0.132 0.000 0.868 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0290 0.92161 0.008 0.992 0.000 0.000 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.4307 0.02752 0.496 0.000 0.504 0.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.1197 0.85239 0.952 0.000 0.000 0.000 0.048
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.4249 0.15728 0.000 0.568 0.000 0.432 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.93117 0.000 1.000 0.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.0000 0.84737 0.000 0.000 1.000 0.000 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.4168 0.65128 0.764 0.000 0.184 0.000 0.052
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 5 0.4327 0.40255 0.008 0.000 0.360 0.000 0.632
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.4235 0.18175 0.000 0.576 0.000 0.424 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 5 0.4971 0.49624 0.460 0.000 0.028 0.000 0.512
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 4 0.1478 0.84249 0.000 0.064 0.000 0.936 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 5 0.4654 0.65780 0.348 0.000 0.024 0.000 0.628
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 5 0.0000 0.56839 0.000 0.000 0.000 0.000 1.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0290 0.86754 0.992 0.000 0.000 0.000 0.008
#> 54504893-92C5-4328-85A8-2A882680B5E0 5 0.4101 0.38642 0.000 0.000 0.372 0.000 0.628
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 5 0.4088 0.66652 0.368 0.000 0.000 0.000 0.632
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.93117 0.000 1.000 0.000 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.2848 0.69119 0.156 0.000 0.840 0.000 0.004
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0290 0.86754 0.992 0.000 0.000 0.000 0.008
#> D365A238-4739-4B54-9608-DC548F21C04E 5 0.3274 0.69799 0.220 0.000 0.000 0.000 0.780
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0963 0.85368 0.964 0.000 0.036 0.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0162 0.86767 0.996 0.000 0.000 0.004 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.86782 1.000 0.000 0.000 0.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 5 0.4787 -0.10614 0.432 0.000 0.020 0.000 0.548
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.2074 0.75269 0.104 0.000 0.896 0.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0162 0.86767 0.996 0.000 0.000 0.004 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0000 0.86782 1.000 0.000 0.000 0.000 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.3932 0.53867 0.672 0.000 0.000 0.000 0.328
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.2773 0.76058 0.836 0.000 0.000 0.000 0.164
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0290 0.92596 0.000 0.992 0.000 0.008 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0451 0.86782 0.988 0.000 0.000 0.004 0.008
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 5 0.4533 0.54580 0.448 0.000 0.000 0.008 0.544
#> 9AF0E82E-E621-437A-8D19-700532B95090 5 0.3109 0.69031 0.200 0.000 0.000 0.000 0.800
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0290 0.86695 0.992 0.000 0.008 0.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 5 0.4262 0.50673 0.440 0.000 0.000 0.000 0.560
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.93117 0.000 1.000 0.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.2629 0.72367 0.860 0.000 0.000 0.004 0.136
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.7459 0.19906 0.256 0.000 0.388 0.036 0.320
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.0000 0.86782 1.000 0.000 0.000 0.000 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 1 0.4215 0.67574 0.772 0.004 0.000 0.172 0.052
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.3837 0.55592 0.692 0.000 0.000 0.000 0.308
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 5 0.4505 0.39027 0.008 0.000 0.368 0.004 0.620
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 5 0.4047 0.68161 0.320 0.000 0.000 0.004 0.676
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 5 0.0000 0.56839 0.000 0.000 0.000 0.000 1.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 4 0.0404 0.86103 0.000 0.012 0.000 0.988 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.86782 1.000 0.000 0.000 0.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.0000 0.86103 0.000 0.000 0.000 1.000 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0162 0.86767 0.996 0.000 0.000 0.004 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 5 0.1270 0.57265 0.052 0.000 0.000 0.000 0.948
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.1544 0.82835 0.932 0.000 0.068 0.000 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.0451 0.86782 0.988 0.000 0.000 0.004 0.008
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0290 0.86754 0.992 0.000 0.000 0.000 0.008
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.3932 0.53867 0.672 0.000 0.000 0.000 0.328
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.0162 0.86767 0.996 0.000 0.000 0.004 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.84737 0.000 0.000 1.000 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.3707 0.48124 0.000 0.000 0.716 0.000 0.284
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.0000 0.86782 1.000 0.000 0.000 0.000 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.3535 0.65556 0.808 0.000 0.028 0.000 0.164
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0162 0.86767 0.996 0.000 0.000 0.004 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.0000 0.56839 0.000 0.000 0.000 0.000 1.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.93117 0.000 1.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.93117 0.000 1.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.84737 0.000 0.000 1.000 0.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.86782 1.000 0.000 0.000 0.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.4201 0.45684 0.592 0.000 0.000 0.000 0.408
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0451 0.86782 0.988 0.000 0.000 0.004 0.008
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 6 0.4081 0.7621 0.120 0.000 0.000 0.088 0.016 0.776
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.1075 0.8546 0.000 0.000 0.952 0.000 0.000 0.048
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 5 0.3522 0.5129 0.072 0.000 0.076 0.000 0.828 0.024
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.3017 0.6436 0.816 0.000 0.000 0.000 0.020 0.164
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.3025 0.6474 0.820 0.000 0.000 0.000 0.024 0.156
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.5495 0.5694 0.288 0.000 0.000 0.000 0.548 0.164
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.5199 0.4861 0.216 0.000 0.628 0.000 0.004 0.152
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9438 0.000 1.000 0.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.3983 0.4269 0.000 0.000 0.348 0.004 0.640 0.008
#> 53062969-D209-490B-9C9B-5D297625E2AE 6 0.3588 0.7909 0.152 0.000 0.000 0.000 0.060 0.788
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.1926 0.7103 0.912 0.000 0.000 0.000 0.020 0.068
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 6 0.1720 0.7075 0.032 0.000 0.000 0.000 0.040 0.928
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0937 0.8553 0.000 0.000 0.960 0.000 0.000 0.040
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.1957 0.8125 0.000 0.112 0.000 0.888 0.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.3595 0.5994 0.704 0.000 0.000 0.000 0.288 0.008
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.1075 0.8546 0.000 0.000 0.952 0.000 0.000 0.048
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0146 0.8524 0.000 0.000 0.996 0.000 0.004 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.1957 0.6928 0.888 0.000 0.000 0.000 0.000 0.112
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.2003 0.6487 0.116 0.000 0.000 0.000 0.884 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0000 0.8538 0.000 0.000 1.000 0.000 0.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9438 0.000 1.000 0.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.3248 0.6340 0.804 0.000 0.000 0.000 0.032 0.164
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 6 0.1333 0.6805 0.008 0.000 0.000 0.000 0.048 0.944
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.2003 0.6897 0.884 0.000 0.000 0.000 0.000 0.116
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.8538 0.000 0.000 1.000 0.000 0.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.5584 0.4650 0.520 0.000 0.000 0.000 0.316 0.164
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.4112 0.5823 0.224 0.000 0.724 0.000 0.004 0.048
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.2517 0.6966 0.876 0.000 0.100 0.000 0.016 0.008
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9438 0.000 1.000 0.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.3563 0.4285 0.000 0.664 0.000 0.336 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.3248 0.6340 0.804 0.000 0.000 0.000 0.032 0.164
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.5539 0.6218 0.232 0.000 0.080 0.000 0.632 0.056
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.3248 0.6340 0.804 0.000 0.000 0.000 0.032 0.164
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.2699 0.6994 0.884 0.000 0.028 0.000 0.048 0.040
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0146 0.9404 0.000 0.996 0.000 0.000 0.004 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.0603 0.7222 0.980 0.000 0.000 0.000 0.004 0.016
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.4139 0.6282 0.336 0.000 0.000 0.024 0.640 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.9438 0.000 1.000 0.000 0.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.7211 1.000 0.000 0.000 0.000 0.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 5 0.5487 0.5280 0.320 0.000 0.000 0.000 0.532 0.148
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 4 0.3838 0.2589 0.000 0.448 0.000 0.552 0.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.1075 0.8546 0.000 0.000 0.952 0.000 0.000 0.048
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.1285 0.8517 0.000 0.000 0.944 0.000 0.004 0.052
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 6 0.2883 0.7976 0.212 0.000 0.000 0.000 0.000 0.788
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.2773 0.6959 0.004 0.000 0.836 0.000 0.152 0.008
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 5 0.3578 0.6331 0.340 0.000 0.000 0.000 0.660 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0260 0.7209 0.992 0.000 0.000 0.000 0.000 0.008
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9438 0.000 1.000 0.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.1075 0.8546 0.000 0.000 0.952 0.000 0.000 0.048
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.0000 0.8559 0.000 0.000 0.000 1.000 0.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 6 0.2883 0.7976 0.212 0.000 0.000 0.000 0.000 0.788
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 4 0.4057 0.2834 0.000 0.436 0.000 0.556 0.008 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0146 0.8527 0.004 0.000 0.996 0.000 0.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.2312 0.6891 0.876 0.000 0.000 0.000 0.012 0.112
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.2191 0.6873 0.876 0.000 0.000 0.000 0.004 0.120
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.1219 0.8532 0.000 0.000 0.948 0.000 0.004 0.048
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0260 0.8525 0.000 0.000 0.992 0.000 0.008 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 5 0.4224 0.3406 0.028 0.000 0.000 0.000 0.632 0.340
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.2664 0.7381 0.000 0.816 0.000 0.184 0.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 6 0.3867 0.1508 0.488 0.000 0.000 0.000 0.000 0.512
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.5529 0.5632 0.336 0.000 0.000 0.000 0.516 0.148
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#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.0260 0.7216 0.992 0.000 0.000 0.000 0.000 0.008
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0000 0.9438 0.000 1.000 0.000 0.000 0.000 0.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 4 0.3774 0.1674 0.000 0.000 0.000 0.592 0.000 0.408
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.3804 0.5535 0.656 0.000 0.000 0.000 0.336 0.008
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.2191 0.6873 0.876 0.000 0.000 0.000 0.004 0.120
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 5 0.3874 0.6246 0.356 0.000 0.000 0.000 0.636 0.008
#> C86EBD08-53F2-4972-801A-74970FDD6A62 5 0.1230 0.5886 0.028 0.000 0.008 0.000 0.956 0.008
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.3248 0.6340 0.804 0.000 0.000 0.000 0.032 0.164
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.0146 0.9406 0.000 0.996 0.000 0.000 0.000 0.004
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 6 0.4254 0.7640 0.216 0.000 0.000 0.000 0.072 0.712
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.1219 0.8532 0.000 0.000 0.948 0.000 0.004 0.048
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.3248 0.6340 0.804 0.000 0.000 0.000 0.032 0.164
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 5 0.3967 0.6226 0.356 0.000 0.000 0.000 0.632 0.012
#> B2088466-FA5D-491C-9982-99B33683E66F 4 0.2344 0.8213 0.028 0.076 0.000 0.892 0.004 0.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.0000 0.8538 0.000 0.000 1.000 0.000 0.000 0.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.9438 0.000 1.000 0.000 0.000 0.000 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.9438 0.000 1.000 0.000 0.000 0.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.9438 0.000 1.000 0.000 0.000 0.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.0260 0.8509 0.000 0.000 0.992 0.000 0.008 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.1075 0.8546 0.000 0.000 0.952 0.000 0.000 0.048
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 5 0.4970 0.5550 0.320 0.000 0.068 0.000 0.604 0.008
#> B55743F2-4D63-4375-85D3-F58281CFD852 5 0.5643 0.5404 0.340 0.000 0.000 0.000 0.496 0.164
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 5 0.5666 0.5268 0.352 0.000 0.000 0.000 0.484 0.164
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.0000 0.8538 0.000 0.000 1.000 0.000 0.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.4893 0.5190 0.224 0.000 0.660 0.000 0.004 0.112
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.4410 0.5111 0.716 0.000 0.000 0.000 0.120 0.164
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 5 0.3867 0.6346 0.328 0.000 0.000 0.000 0.660 0.012
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.9438 0.000 1.000 0.000 0.000 0.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 6 0.3062 0.5415 0.144 0.000 0.000 0.000 0.032 0.824
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.4112 0.5823 0.224 0.000 0.724 0.000 0.004 0.048
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.3862 0.4404 0.524 0.000 0.000 0.000 0.476 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 4 0.0000 0.8559 0.000 0.000 0.000 1.000 0.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.2933 0.7002 0.004 0.796 0.000 0.200 0.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 5 0.1957 0.6475 0.112 0.000 0.000 0.000 0.888 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 4 0.2003 0.8062 0.000 0.116 0.000 0.884 0.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.1610 0.8356 0.084 0.916 0.000 0.000 0.000 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.3984 0.2945 0.396 0.000 0.596 0.000 0.000 0.008
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.3102 0.6447 0.816 0.000 0.000 0.000 0.028 0.156
#> CE539000-92D7-4622-9C8D-BC6E01310681 4 0.3782 0.3466 0.000 0.412 0.000 0.588 0.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.9438 0.000 1.000 0.000 0.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.1075 0.8546 0.000 0.000 0.952 0.000 0.000 0.048
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.5358 0.5115 0.660 0.000 0.144 0.000 0.032 0.164
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 5 0.4161 0.4071 0.008 0.000 0.372 0.000 0.612 0.008
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 4 0.4609 0.4153 0.000 0.364 0.000 0.588 0.000 0.048
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 5 0.5051 0.4938 0.416 0.000 0.056 0.000 0.520 0.008
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 4 0.0865 0.8493 0.000 0.036 0.000 0.964 0.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 5 0.6137 0.5598 0.320 0.000 0.024 0.000 0.492 0.164
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 5 0.3637 0.5726 0.056 0.000 0.000 0.000 0.780 0.164
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.2257 0.7161 0.876 0.000 0.000 0.000 0.116 0.008
#> 54504893-92C5-4328-85A8-2A882680B5E0 5 0.3695 0.3992 0.000 0.000 0.376 0.000 0.624 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 5 0.4508 0.6117 0.316 0.000 0.000 0.000 0.632 0.052
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.9438 0.000 1.000 0.000 0.000 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.3522 0.6520 0.044 0.000 0.784 0.000 0.000 0.172
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.1863 0.7201 0.896 0.000 0.000 0.000 0.104 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 5 0.3512 0.6619 0.272 0.000 0.000 0.000 0.720 0.008
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.2747 0.7163 0.860 0.000 0.044 0.000 0.096 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 6 0.2883 0.7976 0.212 0.000 0.000 0.000 0.000 0.788
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0260 0.7209 0.992 0.000 0.000 0.000 0.000 0.008
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 5 0.4930 -0.2594 0.404 0.000 0.008 0.000 0.540 0.048
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.1918 0.7800 0.088 0.000 0.904 0.000 0.000 0.008
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 6 0.2883 0.7976 0.212 0.000 0.000 0.000 0.000 0.788
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0260 0.7209 0.992 0.000 0.000 0.000 0.000 0.008
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.3563 0.5583 0.664 0.000 0.000 0.000 0.336 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.4243 0.5989 0.732 0.000 0.000 0.000 0.104 0.164
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.9438 0.000 1.000 0.000 0.000 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 6 0.3371 0.7267 0.292 0.000 0.000 0.000 0.000 0.708
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 6 0.3422 0.7049 0.036 0.000 0.000 0.000 0.176 0.788
#> 9AF0E82E-E621-437A-8D19-700532B95090 5 0.3198 0.6646 0.260 0.000 0.000 0.000 0.740 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.1866 0.7097 0.908 0.000 0.084 0.000 0.000 0.008
#> EFE5A302-D138-4044-A301-5C5FD1C24836 5 0.4325 0.4673 0.456 0.000 0.000 0.000 0.524 0.020
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.9438 0.000 1.000 0.000 0.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 6 0.5732 0.1641 0.376 0.000 0.004 0.000 0.148 0.472
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.7039 0.1216 0.240 0.000 0.368 0.008 0.336 0.048
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.2653 0.6632 0.844 0.000 0.000 0.000 0.012 0.144
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 1 0.5497 0.5023 0.656 0.004 0.000 0.156 0.032 0.152
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.3972 0.5656 0.664 0.000 0.004 0.000 0.320 0.012
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 6 0.6115 -0.0464 0.000 0.000 0.308 0.000 0.324 0.368
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 6 0.3314 0.6627 0.012 0.000 0.000 0.000 0.224 0.764
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 5 0.4449 0.5848 0.124 0.000 0.000 0.000 0.712 0.164
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 4 0.0000 0.8559 0.000 0.000 0.000 1.000 0.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.2092 0.6857 0.876 0.000 0.000 0.000 0.000 0.124
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 6 0.3804 0.2859 0.000 0.000 0.000 0.424 0.000 0.576
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 6 0.2883 0.7976 0.212 0.000 0.000 0.000 0.000 0.788
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 5 0.0858 0.5756 0.004 0.000 0.000 0.000 0.968 0.028
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.4170 0.6727 0.756 0.000 0.072 0.000 0.012 0.160
#> C98275CD-C39A-4E14-A731-4F3EB7396665 6 0.2730 0.7936 0.192 0.000 0.000 0.000 0.000 0.808
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.2631 0.6574 0.840 0.000 0.000 0.000 0.008 0.152
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.3515 0.5637 0.676 0.000 0.000 0.000 0.324 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.3620 0.2753 0.648 0.000 0.000 0.000 0.000 0.352
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.8538 0.000 0.000 1.000 0.000 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.4107 0.3939 0.036 0.000 0.684 0.000 0.280 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.2257 0.7161 0.876 0.000 0.000 0.000 0.116 0.008
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.4937 0.5223 0.676 0.000 0.096 0.000 0.212 0.016
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 6 0.2883 0.7976 0.212 0.000 0.000 0.000 0.000 0.788
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.3017 0.5550 0.020 0.000 0.000 0.000 0.816 0.164
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9438 0.000 1.000 0.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9438 0.000 1.000 0.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.1075 0.8546 0.000 0.000 0.952 0.000 0.000 0.048
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.2257 0.6884 0.876 0.000 0.000 0.000 0.008 0.116
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.5561 0.4108 0.536 0.000 0.000 0.000 0.292 0.172
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.3838 -0.1010 0.552 0.000 0.000 0.000 0.000 0.448
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 17469 rows and 309 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 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 0.989 0.995 0.3797 0.621 0.621
#> 3 3 0.700 0.873 0.922 0.6702 0.721 0.555
#> 4 4 0.580 0.753 0.812 0.0599 0.967 0.911
#> 5 5 0.561 0.565 0.729 0.0862 0.886 0.693
#> 6 6 0.569 0.461 0.696 0.0577 0.928 0.755
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.0672 0.989 0.992 0.008
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.0000 0.997 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.0000 0.997 1.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.997 1.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.997 1.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.997 1.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 2 0.4431 0.896 0.092 0.908
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#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 1 0.6887 0.774 0.816 0.184
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.0000 0.997 1.000 0.000
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0000 0.997 1.000 0.000
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.0000 0.997 1.000 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.0000 0.997 1.000 0.000
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0000 0.997 1.000 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 1 0.0000 0.997 1.000 0.000
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.0000 0.997 1.000 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0000 0.992 0.000 1.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.0000 0.992 0.000 1.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.0000 0.997 1.000 0.000
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.0000 0.997 1.000 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0000 0.997 1.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.0000 0.997 1.000 0.000
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0000 0.997 1.000 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.0000 0.992 0.000 1.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.0000 0.997 1.000 0.000
#> DD51C17C-300F-44A4-955A-C9BC85417842 1 0.0000 0.997 1.000 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0000 0.997 1.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.0000 0.997 1.000 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.0000 0.992 0.000 1.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 1 0.0000 0.997 1.000 0.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.992 0.000 1.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.992 0.000 1.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.992 0.000 1.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.0000 0.997 1.000 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 1 0.1843 0.969 0.972 0.028
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.0000 0.997 1.000 0.000
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0000 0.997 1.000 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0000 0.997 1.000 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.0000 0.997 1.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.0000 0.997 1.000 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.0000 0.997 1.000 0.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0000 0.997 1.000 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.992 0.000 1.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.0000 0.997 1.000 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.0000 0.997 1.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.0000 0.997 1.000 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.992 0.000 1.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.992 0.000 1.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.997 1.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.992 0.000 1.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.992 0.000 1.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0000 0.997 1.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0000 0.997 1.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.992 0.000 1.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.992 0.000 1.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.2603 0.952 0.956 0.044
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.997 1.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0000 0.997 1.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.992 0.000 1.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0000 0.997 1.000 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.992 0.000 1.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.997 1.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.997 1.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.997 1.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.0000 0.997 1.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.997 1.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.992 0.000 1.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.997 1.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.997 1.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0000 0.997 1.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0000 0.997 1.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0000 0.997 1.000 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.997 1.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0000 0.997 1.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.0000 0.997 1.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0000 0.997 1.000 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0000 0.997 1.000 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.0000 0.997 1.000 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.997 1.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.992 0.000 1.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.997 1.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.0000 0.997 1.000 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.997 1.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.997 1.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.997 1.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.992 0.000 1.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.0000 0.997 1.000 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 1 0.8016 0.677 0.756 0.244
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.0000 0.997 1.000 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 1 0.8207 0.656 0.744 0.256
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.0000 0.997 1.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.0000 0.997 1.000 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.997 1.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.997 1.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.992 0.000 1.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.997 1.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.992 0.000 1.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.997 1.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.0000 0.997 1.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.0000 0.997 1.000 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.9661 0.358 0.392 0.608
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.997 1.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.997 1.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.0000 0.997 1.000 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.0000 0.997 1.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.0000 0.997 1.000 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.0000 0.997 1.000 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.997 1.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.997 1.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.997 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.992 0.000 1.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.992 0.000 1.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.0000 0.997 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.997 1.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.997 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.997 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.3267 0.90202 0.116 0.000 0.884
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.3267 0.90202 0.116 0.000 0.884
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.2878 0.89910 0.096 0.000 0.904
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.1031 0.91340 0.976 0.000 0.024
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0747 0.91587 0.984 0.000 0.016
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.2537 0.88149 0.920 0.000 0.080
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.4750 0.68870 0.000 0.216 0.784
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.98971 0.000 1.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.2625 0.87352 0.084 0.000 0.916
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0237 0.91689 0.996 0.000 0.004
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.91661 1.000 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.91661 1.000 0.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.3340 0.90144 0.120 0.000 0.880
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.98971 0.000 1.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.5178 0.74144 0.256 0.000 0.744
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.3340 0.90144 0.120 0.000 0.880
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.4291 0.74557 0.820 0.000 0.180
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0892 0.91475 0.980 0.000 0.020
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0747 0.91481 0.984 0.000 0.016
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.5465 0.74376 0.288 0.000 0.712
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.98971 0.000 1.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.1031 0.91340 0.976 0.000 0.024
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0747 0.91587 0.984 0.000 0.016
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0747 0.91587 0.984 0.000 0.016
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.3267 0.90202 0.116 0.000 0.884
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.1031 0.91340 0.976 0.000 0.024
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.3267 0.90202 0.116 0.000 0.884
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.1289 0.90613 0.968 0.000 0.032
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.98971 0.000 1.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.98971 0.000 1.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.5835 0.49279 0.660 0.000 0.340
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 3 0.5216 0.69217 0.260 0.000 0.740
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.1031 0.91340 0.976 0.000 0.024
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.91661 1.000 0.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.98971 0.000 1.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.1289 0.87300 0.032 0.000 0.968
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 3 0.2261 0.88904 0.068 0.000 0.932
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.98971 0.000 1.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.1031 0.91340 0.976 0.000 0.024
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0747 0.91587 0.984 0.000 0.016
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.98971 0.000 1.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.5291 0.77124 0.268 0.000 0.732
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.3267 0.90202 0.116 0.000 0.884
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.4235 0.73472 0.824 0.000 0.176
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.3192 0.83530 0.888 0.000 0.112
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.3192 0.84647 0.888 0.000 0.112
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.91661 1.000 0.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.98971 0.000 1.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.5254 0.77044 0.264 0.000 0.736
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.98971 0.000 1.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0237 0.91641 0.996 0.000 0.004
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0000 0.98971 0.000 1.000 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.4887 0.81770 0.228 0.000 0.772
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.4452 0.85224 0.192 0.000 0.808
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0747 0.91587 0.984 0.000 0.016
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.3267 0.90202 0.116 0.000 0.884
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.3116 0.90166 0.108 0.000 0.892
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 3 0.3340 0.85879 0.120 0.000 0.880
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.98971 0.000 1.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0747 0.91587 0.984 0.000 0.016
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.6204 0.38778 0.576 0.000 0.424
#> 09758B6F-1B2D-4AED-8913-696097069409 3 0.3340 0.89885 0.120 0.000 0.880
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 3 0.5254 0.77399 0.264 0.000 0.736
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0747 0.91587 0.984 0.000 0.016
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.98971 0.000 1.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.2878 0.89987 0.096 0.000 0.904
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.91661 1.000 0.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.2959 0.85146 0.900 0.000 0.100
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.3267 0.90202 0.116 0.000 0.884
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.98971 0.000 1.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.3038 0.87624 0.896 0.000 0.104
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0000 0.91661 1.000 0.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.5905 0.38987 0.648 0.000 0.352
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0892 0.91475 0.980 0.000 0.020
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#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.3886 0.89505 0.096 0.024 0.880
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.91661 1.000 0.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0747 0.91231 0.984 0.000 0.016
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.98971 0.000 1.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.1529 0.90181 0.960 0.000 0.040
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.98971 0.000 1.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.91661 1.000 0.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.91661 1.000 0.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.6045 0.27877 0.620 0.000 0.380
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.5327 0.58876 0.728 0.000 0.272
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.5397 0.57244 0.720 0.000 0.280
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.98971 0.000 1.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.91661 1.000 0.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.91661 1.000 0.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.5098 0.67454 0.752 0.000 0.248
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.2796 0.87674 0.908 0.000 0.092
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 3 0.1031 0.86673 0.024 0.000 0.976
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.2066 0.89206 0.940 0.000 0.060
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0237 0.91689 0.996 0.000 0.004
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.6079 0.59094 0.388 0.000 0.612
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 3 0.1163 0.86798 0.028 0.000 0.972
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.1289 0.90690 0.968 0.000 0.032
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.6126 0.46078 0.400 0.000 0.600
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.1031 0.91340 0.976 0.000 0.024
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.98971 0.000 1.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.5706 0.46308 0.680 0.000 0.320
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 3 0.2261 0.88727 0.068 0.000 0.932
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.2711 0.87825 0.912 0.000 0.088
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.91661 1.000 0.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.91661 1.000 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.98971 0.000 1.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.3267 0.90202 0.116 0.000 0.884
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.2796 0.89883 0.092 0.000 0.908
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.2878 0.89991 0.096 0.000 0.904
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 3 0.1337 0.86097 0.016 0.012 0.972
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.4452 0.85852 0.192 0.000 0.808
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.3340 0.90139 0.120 0.000 0.880
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0237 0.91689 0.996 0.000 0.004
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.91661 1.000 0.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.98971 0.000 1.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0747 0.91587 0.984 0.000 0.016
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.5138 0.67033 0.000 0.748 0.252
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 3 0.5560 0.74160 0.300 0.000 0.700
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.3340 0.90148 0.120 0.000 0.880
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.3267 0.90202 0.116 0.000 0.884
#> C98275CD-C39A-4E14-A731-4F3EB7396665 3 0.0661 0.86008 0.008 0.004 0.988
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 3 0.5926 0.57419 0.356 0.000 0.644
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.1031 0.91340 0.976 0.000 0.024
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 3 0.0892 0.86521 0.020 0.000 0.980
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.3267 0.90202 0.116 0.000 0.884
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.1411 0.87525 0.036 0.000 0.964
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.2796 0.89883 0.092 0.000 0.908
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.1411 0.90377 0.964 0.000 0.036
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.91661 1.000 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0892 0.91492 0.980 0.000 0.020
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.98971 0.000 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.98971 0.000 1.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.3267 0.90202 0.116 0.000 0.884
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.4555 0.75514 0.800 0.000 0.200
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.1289 0.91060 0.968 0.000 0.032
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.1163 0.91400 0.972 0.000 0.028
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.0592 0.7421 0.000 0.000 0.984 0.016
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.3074 0.7306 0.000 0.000 0.848 0.152
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.3969 0.7391 0.016 0.000 0.804 0.180
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.3306 0.8236 0.840 0.000 0.004 0.156
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.2530 0.8384 0.888 0.000 0.000 0.112
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.1743 0.8401 0.940 0.000 0.004 0.056
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.7185 0.3992 0.000 0.284 0.540 0.176
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.1022 0.8956 0.000 0.968 0.000 0.032
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.7569 0.4010 0.368 0.000 0.436 0.196
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.3583 0.8287 0.816 0.000 0.004 0.180
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.1824 0.8377 0.936 0.000 0.004 0.060
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.2999 0.8469 0.864 0.000 0.004 0.132
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.3659 0.7513 0.136 0.000 0.840 0.024
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.8967 0.000 1.000 0.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.6320 0.7047 0.160 0.000 0.660 0.180
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.1936 0.7587 0.032 0.000 0.940 0.028
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.4171 0.7703 0.828 0.000 0.088 0.084
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.2216 0.8434 0.908 0.000 0.000 0.092
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0707 0.8446 0.980 0.000 0.000 0.020
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.7165 0.4474 0.372 0.000 0.488 0.140
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.1118 0.8952 0.000 0.964 0.000 0.036
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.2868 0.8317 0.864 0.000 0.000 0.136
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.3024 0.8275 0.852 0.000 0.000 0.148
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.3306 0.8243 0.840 0.000 0.004 0.156
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.2480 0.7430 0.008 0.000 0.904 0.088
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.2973 0.8297 0.856 0.000 0.000 0.144
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0921 0.7425 0.000 0.000 0.972 0.028
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.4348 0.8284 0.780 0.000 0.024 0.196
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.4916 0.7163 0.000 0.576 0.000 0.424
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.1022 0.8956 0.000 0.968 0.000 0.032
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.3856 0.7369 0.832 0.000 0.136 0.032
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.7443 0.0289 0.492 0.000 0.312 0.196
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.2760 0.8358 0.872 0.000 0.000 0.128
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.1970 0.8348 0.932 0.000 0.008 0.060
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.2586 0.8756 0.000 0.912 0.040 0.048
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.4605 0.7612 0.132 0.012 0.808 0.048
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 3 0.6864 0.7095 0.192 0.004 0.616 0.188
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.1302 0.8938 0.000 0.956 0.000 0.044
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.3123 0.8247 0.844 0.000 0.000 0.156
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.3024 0.8277 0.852 0.000 0.000 0.148
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.8967 0.000 1.000 0.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.6378 0.6361 0.264 0.000 0.628 0.108
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0188 0.7420 0.000 0.000 0.996 0.004
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.4415 0.8136 0.804 0.000 0.056 0.140
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.3051 0.8124 0.884 0.000 0.028 0.088
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.3850 0.8292 0.840 0.000 0.044 0.116
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0707 0.8446 0.980 0.000 0.000 0.020
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.4679 0.7576 0.000 0.648 0.000 0.352
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.5256 0.6964 0.204 0.000 0.732 0.064
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.8967 0.000 1.000 0.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.2329 0.8369 0.916 0.000 0.012 0.072
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0707 0.8970 0.000 0.980 0.000 0.020
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.4908 0.5979 0.292 0.000 0.692 0.016
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.5721 0.6443 0.284 0.000 0.660 0.056
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.3123 0.8247 0.844 0.000 0.000 0.156
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.1389 0.7404 0.000 0.000 0.952 0.048
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.3219 0.7297 0.000 0.000 0.836 0.164
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 3 0.7625 0.4185 0.360 0.000 0.432 0.208
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.1022 0.8956 0.000 0.968 0.000 0.032
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.3074 0.8259 0.848 0.000 0.000 0.152
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.4982 0.6794 0.772 0.000 0.136 0.092
#> 09758B6F-1B2D-4AED-8913-696097069409 3 0.6943 0.6089 0.264 0.000 0.576 0.160
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 3 0.7073 0.4547 0.364 0.000 0.504 0.132
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.3074 0.8259 0.848 0.000 0.000 0.152
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.4907 0.7189 0.000 0.580 0.000 0.420
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.3172 0.7289 0.000 0.000 0.840 0.160
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.1902 0.8388 0.932 0.000 0.004 0.064
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.3015 0.8128 0.884 0.000 0.024 0.092
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.3074 0.7306 0.000 0.000 0.848 0.152
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.8967 0.000 1.000 0.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.1284 0.8458 0.964 0.000 0.012 0.024
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0921 0.8446 0.972 0.000 0.000 0.028
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.5272 0.6633 0.752 0.000 0.136 0.112
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.2647 0.8376 0.880 0.000 0.000 0.120
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 3 0.6862 0.2768 0.408 0.000 0.488 0.104
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.1004 0.8445 0.972 0.000 0.004 0.024
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.6903 0.3455 0.592 0.000 0.224 0.184
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.4916 0.7163 0.000 0.576 0.000 0.424
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.2868 0.7332 0.000 0.000 0.864 0.136
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.0895 0.8932 0.000 0.976 0.004 0.020
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.2973 0.8292 0.856 0.000 0.000 0.144
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.6924 0.5155 0.000 0.232 0.588 0.180
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0817 0.8445 0.976 0.000 0.000 0.024
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.1902 0.8396 0.932 0.000 0.004 0.064
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.2973 0.8290 0.856 0.000 0.000 0.144
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 3 0.7421 0.3477 0.400 0.000 0.432 0.168
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.3117 0.8237 0.880 0.000 0.028 0.092
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.8967 0.000 1.000 0.000 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0336 0.8973 0.000 0.992 0.000 0.008
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.5558 0.7041 0.208 0.000 0.712 0.080
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.4511 0.6812 0.784 0.000 0.176 0.040
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.3051 0.8176 0.884 0.000 0.028 0.088
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.8967 0.000 1.000 0.000 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.6095 0.6830 0.224 0.000 0.668 0.108
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.5619 0.6432 0.724 0.000 0.124 0.152
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.1398 0.8424 0.956 0.000 0.004 0.040
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 3 0.1767 0.7472 0.012 0.000 0.944 0.044
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 3 0.6204 0.7027 0.164 0.000 0.672 0.164
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 3 0.7662 0.4483 0.344 0.000 0.436 0.220
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.3913 0.7456 0.148 0.000 0.824 0.028
#> 00439565-02CE-4BF5-956D-7078B51C0947 3 0.4406 0.7417 0.028 0.000 0.780 0.192
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.4916 0.7163 0.000 0.576 0.000 0.424
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#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.1022 0.8490 0.968 0.000 0.000 0.032
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.3123 0.8247 0.844 0.000 0.000 0.156
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.6615 -0.0565 0.512 0.000 0.404 0.084
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 3 0.6781 0.6370 0.256 0.000 0.596 0.148
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.3013 0.8349 0.888 0.000 0.032 0.080
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.7402 0.5206 0.308 0.000 0.500 0.192
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.3306 0.8233 0.840 0.000 0.004 0.156
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0336 0.8973 0.000 0.992 0.000 0.008
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.5816 0.5787 0.688 0.000 0.224 0.088
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 3 0.5891 0.7204 0.132 0.000 0.700 0.168
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.1398 0.8430 0.956 0.000 0.004 0.040
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.2918 0.8466 0.876 0.000 0.008 0.116
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.1978 0.8386 0.928 0.000 0.004 0.068
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.4907 0.7189 0.000 0.580 0.000 0.420
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.0817 0.7416 0.000 0.000 0.976 0.024
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.4281 0.7083 0.000 0.028 0.792 0.180
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.1256 0.7456 0.008 0.000 0.964 0.028
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 3 0.8430 0.4105 0.036 0.300 0.452 0.212
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.6688 0.4609 0.368 0.000 0.536 0.096
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.4083 0.7588 0.100 0.000 0.832 0.068
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.2281 0.8415 0.904 0.000 0.000 0.096
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0707 0.8446 0.980 0.000 0.000 0.020
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.8967 0.000 1.000 0.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.3123 0.8255 0.844 0.000 0.000 0.156
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.4182 0.7332 0.000 0.796 0.180 0.024
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 3 0.6552 0.5077 0.328 0.000 0.576 0.096
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.3681 0.7376 0.008 0.000 0.816 0.176
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.0817 0.7419 0.000 0.000 0.976 0.024
#> C98275CD-C39A-4E14-A731-4F3EB7396665 3 0.6077 0.6835 0.044 0.136 0.736 0.084
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 3 0.6055 0.4740 0.372 0.000 0.576 0.052
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.3123 0.8247 0.844 0.000 0.000 0.156
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 3 0.5410 0.7138 0.192 0.000 0.728 0.080
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.1109 0.7439 0.004 0.000 0.968 0.028
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.6875 0.6688 0.220 0.000 0.596 0.184
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.3991 0.7391 0.020 0.000 0.808 0.172
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.4944 0.8106 0.768 0.000 0.072 0.160
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.2831 0.8477 0.876 0.000 0.004 0.120
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.1637 0.8487 0.940 0.000 0.000 0.060
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.4916 0.7163 0.000 0.576 0.000 0.424
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.3942 0.8160 0.000 0.764 0.000 0.236
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.1022 0.7417 0.000 0.000 0.968 0.032
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.5576 0.6679 0.720 0.000 0.184 0.096
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0817 0.8451 0.976 0.000 0.000 0.024
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0817 0.8463 0.976 0.000 0.000 0.024
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.1493 0.697742 0.000 0.000 0.948 0.028 0.024
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.2513 0.680851 0.000 0.000 0.876 0.116 0.008
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.3857 0.682256 0.044 0.000 0.820 0.120 0.016
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.1106 0.659522 0.964 0.000 0.000 0.012 0.024
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0566 0.673889 0.984 0.000 0.000 0.004 0.012
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.4940 0.557144 0.576 0.000 0.000 0.032 0.392
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.6072 0.395814 0.000 0.252 0.568 0.180 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.3109 0.732268 0.000 0.800 0.000 0.200 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.6115 0.384066 0.136 0.000 0.280 0.008 0.576
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.3080 0.570666 0.852 0.000 0.004 0.020 0.124
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.5080 0.577404 0.588 0.000 0.000 0.044 0.368
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.2891 0.688051 0.824 0.000 0.000 0.000 0.176
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.1981 0.692717 0.048 0.000 0.924 0.000 0.028
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.826327 0.000 1.000 0.000 0.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.5535 0.648442 0.060 0.000 0.720 0.108 0.112
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.2305 0.687919 0.012 0.000 0.896 0.000 0.092
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.5320 0.475634 0.524 0.000 0.016 0.024 0.436
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.1792 0.684651 0.916 0.000 0.000 0.000 0.084
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.4898 0.595489 0.592 0.000 0.000 0.032 0.376
#> C204D355-B876-4341-A111-36D48CBDD2A8 5 0.6709 0.326666 0.208 0.000 0.360 0.004 0.428
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.3109 0.732268 0.000 0.800 0.000 0.200 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0451 0.669111 0.988 0.000 0.000 0.004 0.008
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0162 0.667213 0.996 0.000 0.000 0.004 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.1211 0.658383 0.960 0.000 0.000 0.016 0.024
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0955 0.699728 0.000 0.000 0.968 0.028 0.004
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.2236 0.637662 0.908 0.000 0.000 0.024 0.068
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0963 0.697888 0.000 0.000 0.964 0.000 0.036
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.3569 0.585560 0.816 0.000 0.004 0.028 0.152
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 4 0.3774 0.955891 0.000 0.296 0.000 0.704 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.3109 0.732268 0.000 0.800 0.000 0.200 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 5 0.5631 -0.342102 0.460 0.000 0.036 0.020 0.484
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.6108 0.450388 0.164 0.000 0.216 0.012 0.608
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.1043 0.672172 0.960 0.000 0.000 0.000 0.040
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.4088 0.646099 0.688 0.000 0.000 0.008 0.304
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.3551 0.729996 0.000 0.772 0.008 0.220 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.4998 0.604284 0.104 0.000 0.724 0.008 0.164
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.6035 0.065267 0.056 0.000 0.408 0.028 0.508
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.3109 0.732268 0.000 0.800 0.000 0.200 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.1117 0.659945 0.964 0.000 0.000 0.016 0.020
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.1403 0.661195 0.952 0.000 0.000 0.024 0.024
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0162 0.824888 0.000 0.996 0.000 0.004 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.6452 0.193912 0.192 0.000 0.540 0.008 0.260
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.1195 0.698169 0.000 0.000 0.960 0.012 0.028
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.5233 0.541548 0.700 0.000 0.112 0.008 0.180
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.4362 0.607986 0.632 0.000 0.004 0.004 0.360
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.4498 0.581774 0.688 0.000 0.000 0.032 0.280
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.4703 0.620085 0.632 0.000 0.000 0.028 0.340
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 4 0.4219 0.756488 0.000 0.416 0.000 0.584 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.4712 0.510973 0.168 0.000 0.732 0.000 0.100
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0609 0.816007 0.000 0.980 0.000 0.020 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.4522 0.649296 0.660 0.000 0.000 0.024 0.316
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.2230 0.797400 0.000 0.884 0.000 0.116 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.5610 0.376763 0.212 0.000 0.656 0.008 0.124
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.5276 0.557440 0.144 0.000 0.692 0.004 0.160
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.1493 0.654644 0.948 0.000 0.000 0.024 0.028
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.0566 0.698852 0.000 0.000 0.984 0.012 0.004
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.2563 0.679146 0.000 0.000 0.872 0.120 0.008
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 5 0.5571 0.359802 0.096 0.000 0.276 0.004 0.624
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.3109 0.732268 0.000 0.800 0.000 0.200 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0324 0.668162 0.992 0.000 0.000 0.004 0.004
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.4858 -0.251793 0.424 0.000 0.008 0.012 0.556
#> 09758B6F-1B2D-4AED-8913-696097069409 5 0.5976 0.249536 0.116 0.000 0.376 0.000 0.508
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 5 0.6291 0.323860 0.164 0.000 0.344 0.000 0.492
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0566 0.664664 0.984 0.000 0.000 0.012 0.004
#> 131213AD-0313-4DF1-B013-CE67ED262C37 4 0.3774 0.955891 0.000 0.296 0.000 0.704 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.2612 0.678905 0.000 0.000 0.868 0.124 0.008
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.4184 0.664472 0.700 0.000 0.000 0.016 0.284
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.4436 0.575173 0.596 0.000 0.000 0.008 0.396
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.2462 0.681652 0.000 0.000 0.880 0.112 0.008
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.826327 0.000 1.000 0.000 0.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.5234 0.547176 0.524 0.000 0.004 0.036 0.436
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.4384 0.639056 0.660 0.000 0.000 0.016 0.324
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 5 0.5078 -0.327130 0.464 0.000 0.020 0.008 0.508
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.1608 0.682560 0.928 0.000 0.000 0.000 0.072
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 3 0.6177 -0.032646 0.428 0.000 0.452 0.004 0.116
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.4774 0.604883 0.612 0.000 0.000 0.028 0.360
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 5 0.5351 0.213015 0.304 0.000 0.068 0.004 0.624
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 4 0.3774 0.955891 0.000 0.296 0.000 0.704 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.1908 0.688015 0.000 0.000 0.908 0.092 0.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.1831 0.808864 0.000 0.920 0.000 0.076 0.004
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0771 0.669997 0.976 0.000 0.000 0.004 0.020
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.5086 0.578621 0.000 0.144 0.700 0.156 0.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.5188 0.569130 0.540 0.000 0.000 0.044 0.416
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.4651 0.583589 0.608 0.000 0.000 0.020 0.372
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0693 0.666762 0.980 0.000 0.000 0.008 0.012
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 5 0.6392 0.405983 0.192 0.000 0.272 0.004 0.532
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.4537 0.556764 0.592 0.000 0.000 0.012 0.396
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.826327 0.000 1.000 0.000 0.000 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.2074 0.800154 0.000 0.896 0.000 0.104 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.5788 0.356330 0.152 0.000 0.628 0.004 0.216
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.6313 0.153221 0.544 0.000 0.180 0.004 0.272
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.4416 0.624856 0.632 0.000 0.000 0.012 0.356
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.826327 0.000 1.000 0.000 0.000 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.6196 0.106146 0.152 0.000 0.508 0.000 0.340
#> D587A993-3C47-4D4C-B744-59169D4F7451 5 0.4517 -0.113682 0.372 0.000 0.004 0.008 0.616
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.4714 0.629200 0.644 0.000 0.000 0.032 0.324
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 3 0.1981 0.697015 0.016 0.000 0.920 0.000 0.064
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 3 0.5947 0.061396 0.092 0.000 0.484 0.004 0.420
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 5 0.5617 0.360112 0.100 0.000 0.276 0.004 0.620
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.2473 0.680302 0.072 0.000 0.896 0.000 0.032
#> 00439565-02CE-4BF5-956D-7078B51C0947 3 0.4531 0.670981 0.068 0.000 0.780 0.128 0.024
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 4 0.3774 0.955891 0.000 0.296 0.000 0.704 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 4 0.3774 0.955891 0.000 0.296 0.000 0.704 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.4963 0.600152 0.608 0.000 0.000 0.040 0.352
#> 7822EA86-35A1-4285-9429-2B63111B9885 5 0.5585 0.469800 0.208 0.000 0.136 0.004 0.652
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.3395 0.669917 0.000 0.764 0.000 0.236 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 5 0.7164 0.179960 0.036 0.088 0.292 0.040 0.544
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.3058 0.655781 0.096 0.000 0.860 0.000 0.044
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#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.3607 0.675427 0.752 0.000 0.000 0.004 0.244
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.2535 0.638375 0.892 0.000 0.000 0.032 0.076
#> D365A238-4739-4B54-9608-DC548F21C04E 5 0.4580 -0.319847 0.460 0.000 0.004 0.004 0.532
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.5911 0.339011 0.668 0.000 0.100 0.044 0.188
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 3 0.6459 0.225074 0.180 0.000 0.504 0.004 0.312
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.3163 0.690587 0.824 0.000 0.000 0.012 0.164
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.2304 0.631869 0.908 0.000 0.000 0.044 0.048
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.6832 -0.211695 0.364 0.000 0.392 0.004 0.240
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 5 0.6157 0.249072 0.140 0.000 0.364 0.000 0.496
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.5750 0.397526 0.612 0.000 0.116 0.004 0.268
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.7254 0.505886 0.164 0.000 0.560 0.132 0.144
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.2221 0.639745 0.912 0.000 0.000 0.036 0.052
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.2424 0.786142 0.000 0.868 0.000 0.132 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.6377 0.099814 0.584 0.000 0.236 0.020 0.160
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 5 0.4627 -0.042571 0.000 0.000 0.444 0.012 0.544
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.4898 0.576632 0.592 0.000 0.000 0.032 0.376
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.2439 0.694137 0.876 0.000 0.000 0.004 0.120
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.4306 0.630064 0.660 0.000 0.000 0.012 0.328
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 4 0.3774 0.955891 0.000 0.296 0.000 0.704 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.1357 0.695323 0.000 0.000 0.948 0.004 0.048
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.3326 0.664582 0.000 0.024 0.824 0.152 0.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.0880 0.699001 0.000 0.000 0.968 0.000 0.032
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 5 0.6939 0.098234 0.004 0.140 0.280 0.040 0.536
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.6640 -0.019664 0.312 0.000 0.472 0.004 0.212
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.4464 0.448367 0.004 0.000 0.632 0.008 0.356
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.1831 0.685439 0.920 0.000 0.000 0.004 0.076
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.4703 0.626060 0.632 0.000 0.000 0.028 0.340
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.826327 0.000 1.000 0.000 0.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0912 0.662458 0.972 0.000 0.000 0.012 0.016
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.3909 0.601003 0.000 0.808 0.124 0.064 0.004
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 3 0.6547 0.142804 0.216 0.000 0.504 0.004 0.276
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.4513 0.667401 0.004 0.000 0.764 0.128 0.104
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.1018 0.699176 0.000 0.000 0.968 0.016 0.016
#> C98275CD-C39A-4E14-A731-4F3EB7396665 3 0.6242 0.505043 0.048 0.004 0.628 0.080 0.240
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 3 0.5805 0.458142 0.192 0.000 0.640 0.008 0.160
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.2889 0.607317 0.872 0.000 0.000 0.044 0.084
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 3 0.5959 0.432426 0.152 0.000 0.600 0.004 0.244
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.1638 0.692206 0.000 0.000 0.932 0.004 0.064
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 5 0.6209 0.261843 0.096 0.000 0.336 0.020 0.548
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.3010 0.689654 0.020 0.000 0.868 0.100 0.012
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.4054 0.609828 0.812 0.000 0.028 0.040 0.120
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.3304 0.686470 0.816 0.000 0.000 0.016 0.168
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.4562 0.659213 0.676 0.000 0.000 0.032 0.292
#> 206865A9-A67C-49A6-93AD-55D06E777559 4 0.3774 0.955891 0.000 0.296 0.000 0.704 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.4101 0.183969 0.000 0.628 0.000 0.372 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0510 0.699324 0.000 0.000 0.984 0.000 0.016
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.6670 -0.091528 0.528 0.000 0.296 0.024 0.152
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.4779 0.629279 0.628 0.000 0.000 0.032 0.340
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.4292 0.665288 0.704 0.000 0.000 0.024 0.272
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.1838 0.71692 0.000 0.012 0.928 0.000 0.040 0.020
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.2278 0.71270 0.000 0.044 0.900 0.000 0.004 0.052
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.4044 0.69236 0.008 0.044 0.788 0.000 0.024 0.136
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.1843 0.48379 0.912 0.004 0.000 0.000 0.004 0.080
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.1863 0.36242 0.896 0.000 0.000 0.000 0.000 0.104
#> 03E81178-E971-4E91-8BED-D8273EA1425C 6 0.4165 0.93068 0.452 0.000 0.000 0.000 0.012 0.536
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.6024 0.30127 0.000 0.120 0.520 0.324 0.000 0.036
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 4 0.2730 0.76876 0.000 0.192 0.000 0.808 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.4876 0.63420 0.104 0.000 0.152 0.000 0.712 0.032
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.4108 0.47424 0.748 0.008 0.000 0.000 0.060 0.184
#> B710293C-41D3-4A2E-8104-5402F91DD859 6 0.4242 0.91587 0.448 0.000 0.000 0.000 0.016 0.536
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.2959 0.39828 0.852 0.008 0.000 0.000 0.036 0.104
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.1036 0.72525 0.024 0.000 0.964 0.000 0.008 0.004
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.0146 0.83672 0.000 0.004 0.000 0.996 0.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.5496 0.59267 0.016 0.036 0.660 0.000 0.076 0.212
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.2445 0.68262 0.008 0.000 0.868 0.000 0.120 0.004
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.6035 0.30737 0.460 0.004 0.000 0.000 0.300 0.236
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.2085 0.42964 0.912 0.008 0.000 0.000 0.024 0.056
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 6 0.3854 0.90578 0.464 0.000 0.000 0.000 0.000 0.536
#> C204D355-B876-4341-A111-36D48CBDD2A8 5 0.6452 0.60561 0.192 0.000 0.144 0.000 0.560 0.104
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 4 0.2730 0.76876 0.000 0.192 0.000 0.808 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.1387 0.40047 0.932 0.000 0.000 0.000 0.000 0.068
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.1296 0.44330 0.948 0.004 0.000 0.000 0.004 0.044
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.2904 0.48843 0.852 0.008 0.000 0.000 0.028 0.112
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0976 0.72671 0.000 0.008 0.968 0.000 0.016 0.008
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.2300 0.45368 0.856 0.000 0.000 0.000 0.000 0.144
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0713 0.72362 0.000 0.000 0.972 0.000 0.028 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.4171 0.46570 0.732 0.008 0.000 0.000 0.052 0.208
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.3076 0.95968 0.000 0.760 0.000 0.240 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 4 0.2762 0.76483 0.000 0.196 0.000 0.804 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.6211 -0.38812 0.388 0.000 0.004 0.000 0.292 0.316
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.5893 0.60733 0.192 0.008 0.120 0.000 0.628 0.052
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.2085 0.45814 0.912 0.008 0.000 0.000 0.024 0.056
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.4193 -0.12202 0.684 0.000 0.000 0.000 0.044 0.272
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 4 0.3348 0.76324 0.000 0.216 0.000 0.768 0.000 0.016
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.6261 0.32055 0.076 0.000 0.560 0.000 0.240 0.124
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.5800 0.53560 0.056 0.008 0.236 0.000 0.620 0.080
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 4 0.2912 0.74037 0.000 0.216 0.000 0.784 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.1267 0.45811 0.940 0.000 0.000 0.000 0.000 0.060
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.1387 0.45402 0.932 0.000 0.000 0.000 0.000 0.068
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 4 0.0363 0.83163 0.000 0.012 0.000 0.988 0.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.6997 -0.23990 0.156 0.000 0.400 0.000 0.344 0.100
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.1080 0.72227 0.000 0.004 0.960 0.000 0.032 0.004
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.5282 0.36669 0.700 0.004 0.088 0.000 0.136 0.072
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.5824 0.11125 0.540 0.008 0.000 0.000 0.228 0.224
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.4145 0.45452 0.700 0.000 0.000 0.000 0.048 0.252
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 6 0.4083 0.91792 0.460 0.000 0.000 0.000 0.008 0.532
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.3607 0.80546 0.000 0.652 0.000 0.348 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.5446 0.45645 0.132 0.000 0.676 0.000 0.120 0.072
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.0777 0.82263 0.000 0.024 0.000 0.972 0.000 0.004
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.4845 0.29594 0.692 0.012 0.000 0.000 0.176 0.120
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 4 0.2260 0.81279 0.000 0.140 0.000 0.860 0.000 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.6655 0.18419 0.204 0.000 0.520 0.000 0.088 0.188
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.6628 0.28051 0.132 0.000 0.544 0.000 0.152 0.172
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.3310 0.48625 0.816 0.016 0.000 0.000 0.020 0.148
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.0291 0.72465 0.000 0.000 0.992 0.000 0.004 0.004
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.2575 0.70824 0.000 0.044 0.880 0.000 0.004 0.072
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 5 0.5110 0.63379 0.132 0.000 0.132 0.000 0.696 0.040
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 4 0.2793 0.76649 0.000 0.200 0.000 0.800 0.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.1461 0.43461 0.940 0.000 0.000 0.000 0.016 0.044
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.6240 -0.35698 0.364 0.000 0.004 0.000 0.316 0.316
#> 09758B6F-1B2D-4AED-8913-696097069409 5 0.5153 0.59721 0.088 0.000 0.224 0.000 0.660 0.028
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 5 0.6322 0.59864 0.164 0.000 0.180 0.000 0.572 0.084
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.1675 0.46332 0.936 0.008 0.000 0.000 0.024 0.032
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.3076 0.95968 0.000 0.760 0.000 0.240 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.2575 0.70824 0.000 0.044 0.880 0.000 0.004 0.072
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.4673 0.24405 0.708 0.008 0.000 0.000 0.148 0.136
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.6088 0.20211 0.464 0.008 0.000 0.000 0.308 0.220
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.2146 0.71364 0.000 0.044 0.908 0.000 0.004 0.044
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 4 0.0146 0.83440 0.000 0.004 0.000 0.996 0.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.5171 -0.22976 0.560 0.000 0.000 0.000 0.104 0.336
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.4378 -0.26424 0.632 0.000 0.000 0.000 0.040 0.328
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 5 0.6469 -0.16863 0.360 0.008 0.012 0.000 0.400 0.220
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.2085 0.43951 0.912 0.008 0.000 0.000 0.024 0.056
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.7110 -0.21054 0.392 0.000 0.328 0.000 0.176 0.104
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 6 0.3975 0.92399 0.452 0.000 0.000 0.000 0.004 0.544
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 5 0.6742 0.48046 0.224 0.008 0.092 0.000 0.532 0.144
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.3076 0.95968 0.000 0.760 0.000 0.240 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.1321 0.72183 0.000 0.024 0.952 0.000 0.004 0.020
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.1829 0.80600 0.000 0.064 0.000 0.920 0.004 0.012
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.1267 0.43924 0.940 0.000 0.000 0.000 0.000 0.060
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.6332 0.37254 0.000 0.172 0.516 0.268 0.000 0.044
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 6 0.4062 0.82504 0.440 0.000 0.000 0.000 0.008 0.552
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.4737 -0.52808 0.572 0.000 0.000 0.000 0.056 0.372
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0937 0.43524 0.960 0.000 0.000 0.000 0.000 0.040
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 5 0.5377 0.63887 0.140 0.000 0.140 0.000 0.672 0.048
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.5758 0.35505 0.552 0.008 0.000 0.000 0.236 0.204
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 4 0.0146 0.83696 0.000 0.004 0.000 0.996 0.000 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 4 0.1714 0.82490 0.000 0.092 0.000 0.908 0.000 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.6360 0.25209 0.112 0.000 0.564 0.000 0.216 0.108
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.7108 0.09131 0.468 0.004 0.136 0.000 0.248 0.144
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.5663 0.34003 0.564 0.008 0.000 0.000 0.252 0.176
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 4 0.0000 0.83577 0.000 0.000 0.000 1.000 0.000 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 5 0.6315 0.46118 0.128 0.000 0.328 0.000 0.492 0.052
#> D587A993-3C47-4D4C-B744-59169D4F7451 5 0.5897 -0.08452 0.280 0.000 0.000 0.000 0.472 0.248
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#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.3198 0.01892 0.740 0.000 0.000 0.000 0.000 0.260
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 4 0.0000 0.83577 0.000 0.000 0.000 1.000 0.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 4 0.3620 0.76265 0.000 0.200 0.008 0.772 0.004 0.016
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.5223 0.42515 0.640 0.008 0.000 0.000 0.176 0.176
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.2446 0.48627 0.864 0.000 0.000 0.000 0.012 0.124
#> CE539000-92D7-4622-9C8D-BC6E01310681 4 0.2260 0.80732 0.000 0.140 0.000 0.860 0.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.3076 0.95968 0.000 0.760 0.000 0.240 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.1391 0.71942 0.000 0.000 0.944 0.000 0.040 0.016
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.4250 -0.74631 0.528 0.000 0.000 0.000 0.016 0.456
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.4819 -0.26004 0.628 0.000 0.000 0.000 0.088 0.284
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 4 0.2730 0.76876 0.000 0.192 0.000 0.808 0.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.5940 -0.18645 0.504 0.008 0.000 0.000 0.200 0.288
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 4 0.0000 0.83577 0.000 0.000 0.000 1.000 0.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.3975 -0.71515 0.544 0.000 0.000 0.000 0.004 0.452
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.4634 -0.52182 0.556 0.000 0.000 0.000 0.044 0.400
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.6617 0.26610 0.504 0.008 0.148 0.000 0.056 0.284
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.6005 0.20130 0.388 0.000 0.000 0.000 0.376 0.236
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.7292 0.01737 0.400 0.008 0.116 0.000 0.324 0.152
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 4 0.1556 0.82454 0.000 0.080 0.000 0.920 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.3210 0.24872 0.804 0.000 0.000 0.000 0.028 0.168
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.2491 0.46356 0.836 0.000 0.000 0.000 0.000 0.164
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.6271 0.04445 0.420 0.008 0.004 0.000 0.352 0.216
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.5616 0.37875 0.596 0.008 0.056 0.000 0.044 0.296
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 5 0.6405 0.36911 0.084 0.000 0.328 0.000 0.492 0.096
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.3543 0.21498 0.768 0.000 0.000 0.000 0.032 0.200
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.3564 0.47040 0.772 0.008 0.000 0.000 0.020 0.200
#> 02ABB64E-768B-4999-A899-EEE573D5F186 5 0.7245 0.42600 0.324 0.000 0.224 0.000 0.352 0.100
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 5 0.5167 0.59086 0.092 0.000 0.208 0.000 0.668 0.032
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.6678 0.34546 0.560 0.008 0.120 0.000 0.144 0.168
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.7638 0.23992 0.168 0.052 0.412 0.000 0.072 0.296
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.2805 0.47854 0.812 0.000 0.000 0.000 0.004 0.184
#> 20EB9CC6-EABB-438A-9030-E766459996D1 4 0.2178 0.80864 0.000 0.132 0.000 0.868 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.6909 0.25153 0.520 0.012 0.164 0.000 0.092 0.212
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 5 0.3650 0.50188 0.000 0.004 0.272 0.000 0.716 0.008
#> 9AF0E82E-E621-437A-8D19-700532B95090 6 0.4080 0.93077 0.456 0.000 0.000 0.000 0.008 0.536
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.2517 0.48765 0.876 0.008 0.000 0.000 0.016 0.100
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.4675 -0.49078 0.580 0.000 0.000 0.000 0.052 0.368
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.3076 0.95968 0.000 0.760 0.000 0.240 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.1897 0.70396 0.000 0.004 0.908 0.000 0.084 0.004
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.4493 0.63679 0.000 0.168 0.740 0.052 0.000 0.040
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.1341 0.72765 0.000 0.000 0.948 0.000 0.028 0.024
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 5 0.4959 0.52371 0.000 0.008 0.160 0.068 0.720 0.044
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.7351 -0.21177 0.200 0.000 0.384 0.000 0.280 0.136
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.5003 -0.02846 0.004 0.004 0.504 0.000 0.440 0.048
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.2581 0.32945 0.856 0.000 0.000 0.000 0.016 0.128
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 6 0.3864 0.88877 0.480 0.000 0.000 0.000 0.000 0.520
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 4 0.0000 0.83577 0.000 0.000 0.000 1.000 0.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.1749 0.46818 0.932 0.008 0.000 0.000 0.024 0.036
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.3396 0.70020 0.000 0.056 0.064 0.848 0.012 0.020
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 3 0.7456 -0.33301 0.236 0.000 0.324 0.000 0.308 0.132
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.4754 0.65917 0.004 0.044 0.728 0.000 0.056 0.168
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.0508 0.72431 0.000 0.000 0.984 0.000 0.012 0.004
#> C98275CD-C39A-4E14-A731-4F3EB7396665 5 0.7236 0.13383 0.040 0.040 0.380 0.016 0.416 0.108
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 3 0.7114 0.20275 0.136 0.008 0.496 0.000 0.172 0.188
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.2778 0.43215 0.824 0.008 0.000 0.000 0.000 0.168
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 5 0.6532 0.17907 0.072 0.000 0.388 0.000 0.424 0.116
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.1765 0.69927 0.000 0.000 0.904 0.000 0.096 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 5 0.3953 0.59340 0.024 0.000 0.160 0.000 0.776 0.040
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.3121 0.70960 0.004 0.032 0.844 0.000 0.008 0.112
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.4111 0.45546 0.716 0.000 0.012 0.000 0.028 0.244
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.3039 0.39592 0.852 0.008 0.000 0.000 0.056 0.084
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.3728 -0.21388 0.652 0.000 0.000 0.000 0.004 0.344
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.3076 0.95968 0.000 0.760 0.000 0.240 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 4 0.3727 0.24889 0.000 0.388 0.000 0.612 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0508 0.72471 0.000 0.000 0.984 0.000 0.012 0.004
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.7125 0.20668 0.496 0.012 0.136 0.000 0.136 0.220
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.4727 -0.39868 0.576 0.000 0.000 0.000 0.056 0.368
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.4553 -0.35385 0.620 0.000 0.000 0.000 0.052 0.328
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)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
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 17469 rows and 309 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 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 0.986 0.956 0.982 0.4262 0.586 0.586
#> 3 3 0.868 0.888 0.953 0.5018 0.734 0.562
#> 4 4 0.777 0.788 0.912 0.0907 0.885 0.703
#> 5 5 0.923 0.883 0.948 0.0818 0.873 0.621
#> 6 6 0.807 0.735 0.880 0.0566 0.931 0.737
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
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.0376 0.990 0.004 0.996
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.0000 0.977 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.0000 0.977 1.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.977 1.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.977 1.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.977 1.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 2 0.0000 0.993 0.000 1.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.993 0.000 1.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.0000 0.977 1.000 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.977 1.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.977 1.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.977 1.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.0000 0.977 1.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.993 0.000 1.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.0000 0.977 1.000 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.0000 0.977 1.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.0000 0.977 1.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.977 1.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.977 1.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0000 0.977 1.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.993 0.000 1.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.977 1.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.977 1.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.977 1.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.0000 0.977 1.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0000 0.977 1.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.0938 0.966 0.988 0.012
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0000 0.977 1.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.993 0.000 1.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.993 0.000 1.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.977 1.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.977 1.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.977 1.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.977 1.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.993 0.000 1.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.7950 0.693 0.760 0.240
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.0000 0.977 1.000 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.993 0.000 1.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.977 1.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.977 1.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.993 0.000 1.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.0000 0.977 1.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 2 0.0672 0.986 0.008 0.992
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.977 1.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.0000 0.977 1.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0000 0.977 1.000 0.000
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#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.0000 0.977 1.000 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.993 0.000 1.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.993 0.000 1.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.977 1.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.993 0.000 1.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.993 0.000 1.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0000 0.977 1.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0000 0.977 1.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.993 0.000 1.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.993 0.000 1.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 2 0.0000 0.993 0.000 1.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.977 1.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0000 0.977 1.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.993 0.000 1.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0000 0.977 1.000 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.993 0.000 1.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.977 1.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.977 1.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.977 1.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.0000 0.977 1.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.977 1.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.993 0.000 1.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.977 1.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.977 1.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0000 0.977 1.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0000 0.977 1.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.7745 0.712 0.772 0.228
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.977 1.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0000 0.977 1.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.0000 0.977 1.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.6973 0.770 0.812 0.188
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0000 0.977 1.000 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.0000 0.977 1.000 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.977 1.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.993 0.000 1.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.977 1.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.7674 0.707 0.224 0.776
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.977 1.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.977 1.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.977 1.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.993 0.000 1.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.0000 0.977 1.000 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 2 0.0000 0.993 0.000 1.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.9552 0.423 0.624 0.376
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.0000 0.993 0.000 1.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.0000 0.977 1.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.9522 0.419 0.628 0.372
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.977 1.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.977 1.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.993 0.000 1.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.977 1.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.993 0.000 1.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.977 1.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.0000 0.977 1.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.9988 0.115 0.520 0.480
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.993 0.000 1.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.977 1.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.977 1.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.3274 0.921 0.940 0.060
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.0376 0.973 0.996 0.004
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.9954 0.179 0.540 0.460
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.0000 0.977 1.000 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.977 1.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.977 1.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.977 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.993 0.000 1.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.993 0.000 1.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.0000 0.977 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.977 1.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.977 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.977 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.2165 0.872 0.000 0.064 0.936
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.915 0.000 0.000 1.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.0000 0.915 0.000 0.000 1.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.949 1.000 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.949 1.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.949 1.000 0.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.0892 0.904 0.000 0.020 0.980
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.977 0.000 1.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.0000 0.949 1.000 0.000 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.6274 0.111 0.544 0.000 0.456
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.949 1.000 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.949 1.000 0.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.915 0.000 0.000 1.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.977 0.000 1.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.0000 0.915 0.000 0.000 1.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.915 0.000 0.000 1.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.4002 0.799 0.160 0.000 0.840
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.949 1.000 0.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.949 1.000 0.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.6026 0.387 0.624 0.000 0.376
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.977 0.000 1.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.949 1.000 0.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.949 1.000 0.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.1031 0.931 0.976 0.000 0.024
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.915 0.000 0.000 1.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0000 0.949 1.000 0.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0000 0.915 0.000 0.000 1.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.2356 0.876 0.072 0.000 0.928
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.977 0.000 1.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.977 0.000 1.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.949 1.000 0.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.949 1.000 0.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.949 1.000 0.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.949 1.000 0.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.977 0.000 1.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.4399 0.740 0.000 0.188 0.812
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.0000 0.949 1.000 0.000 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.977 0.000 1.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.949 1.000 0.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.949 1.000 0.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.977 0.000 1.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.2165 0.881 0.064 0.000 0.936
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0000 0.915 0.000 0.000 1.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.949 1.000 0.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.0000 0.949 1.000 0.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0747 0.937 0.984 0.000 0.016
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.949 1.000 0.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.977 0.000 1.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0000 0.915 0.000 0.000 1.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.977 0.000 1.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.949 1.000 0.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0000 0.977 0.000 1.000 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0000 0.915 0.000 0.000 1.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.0000 0.915 0.000 0.000 1.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 3 0.5327 0.652 0.272 0.000 0.728
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.0000 0.915 0.000 0.000 1.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0000 0.915 0.000 0.000 1.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.0000 0.949 1.000 0.000 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.977 0.000 1.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.949 1.000 0.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.949 1.000 0.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.1289 0.921 0.968 0.032 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 3 0.5363 0.632 0.276 0.000 0.724
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.949 1.000 0.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.977 0.000 1.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.0000 0.915 0.000 0.000 1.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.949 1.000 0.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.0000 0.949 1.000 0.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0000 0.915 0.000 0.000 1.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.977 0.000 1.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0000 0.949 1.000 0.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0000 0.949 1.000 0.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.5529 0.569 0.704 0.000 0.296
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0000 0.949 1.000 0.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 3 0.5926 0.471 0.356 0.000 0.644
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.949 1.000 0.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0000 0.949 1.000 0.000 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.977 0.000 1.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.0000 0.915 0.000 0.000 1.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.1163 0.954 0.000 0.972 0.028
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0000 0.949 1.000 0.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.4062 0.768 0.000 0.164 0.836
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0000 0.949 1.000 0.000 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.949 1.000 0.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.949 1.000 0.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.0000 0.949 1.000 0.000 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.6267 0.157 0.548 0.000 0.452
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.977 0.000 1.000 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0000 0.977 0.000 1.000 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.1411 0.899 0.036 0.000 0.964
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0000 0.949 1.000 0.000 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.0237 0.946 0.996 0.000 0.004
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.977 0.000 1.000 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.4235 0.779 0.176 0.000 0.824
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0000 0.949 1.000 0.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0000 0.949 1.000 0.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 3 0.0237 0.913 0.000 0.004 0.996
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.5785 0.476 0.668 0.000 0.332
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.0000 0.949 1.000 0.000 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.0000 0.915 0.000 0.000 1.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 3 0.0000 0.915 0.000 0.000 1.000
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.977 0.000 1.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.977 0.000 1.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.0000 0.949 1.000 0.000 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.0000 0.949 1.000 0.000 0.000
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.977 0.000 1.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 2 0.0424 0.969 0.008 0.992 0.000
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.0000 0.915 0.000 0.000 1.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.0000 0.949 1.000 0.000 0.000
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#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.977 0.000 1.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.949 1.000 0.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 3 0.5810 0.495 0.000 0.336 0.664
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 3 0.2165 0.882 0.064 0.000 0.936
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.0000 0.915 0.000 0.000 1.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.0000 0.915 0.000 0.000 1.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.977 0.000 1.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 3 0.2261 0.876 0.068 0.000 0.932
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.1031 0.930 0.976 0.000 0.024
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 2 0.9278 0.245 0.196 0.516 0.288
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.915 0.000 0.000 1.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 2 0.4110 0.787 0.152 0.844 0.004
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.0000 0.915 0.000 0.000 1.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.0424 0.912 0.008 0.000 0.992
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.949 1.000 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.949 1.000 0.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.977 0.000 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.977 0.000 1.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.915 0.000 0.000 1.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 3 0.1411 0.900 0.036 0.000 0.964
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.949 1.000 0.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.949 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.0707 0.7671 0.000 0.000 0.020 0.980
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.3610 0.6844 0.000 0.000 0.800 0.200
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.0188 0.7851 0.000 0.000 0.996 0.004
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0188 0.9411 0.996 0.000 0.004 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.1042 0.7787 0.000 0.020 0.972 0.008
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 4 0.5147 0.1732 0.460 0.000 0.004 0.536
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.5292 0.0193 0.512 0.000 0.480 0.008
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.3219 0.7172 0.000 0.000 0.836 0.164
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0707 0.9264 0.000 0.980 0.000 0.020
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.0336 0.7851 0.000 0.000 0.992 0.008
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.4985 0.2061 0.000 0.000 0.532 0.468
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.6752 0.2210 0.440 0.000 0.468 0.092
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.6179 0.3430 0.608 0.000 0.320 0.072
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.2408 0.8516 0.896 0.000 0.104 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 4 0.4994 -0.0738 0.000 0.000 0.480 0.520
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.1389 0.7781 0.000 0.000 0.952 0.048
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.4868 0.5680 0.256 0.000 0.720 0.024
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 4 0.5070 0.2855 0.416 0.000 0.004 0.580
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.3583 0.6111 0.000 0.180 0.816 0.004
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0817 0.9275 0.976 0.000 0.024 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.6897 0.4602 0.160 0.000 0.584 0.256
#> 6D3CC3AC-618B-414A-B640-169C735A6568 4 0.4817 0.2139 0.000 0.000 0.388 0.612
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.2546 0.8581 0.900 0.000 0.008 0.092
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.2469 0.8460 0.892 0.000 0.108 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.4792 0.5400 0.008 0.000 0.680 0.312
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.2281 0.7380 0.000 0.096 0.000 0.904
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.2530 0.7516 0.000 0.000 0.888 0.112
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.0336 0.7851 0.000 0.000 0.992 0.008
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 3 0.1042 0.7824 0.020 0.000 0.972 0.008
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.3172 0.7255 0.000 0.000 0.840 0.160
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0921 0.7824 0.000 0.000 0.972 0.028
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 4 0.1792 0.7425 0.068 0.000 0.000 0.932
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 4 0.4790 0.4088 0.380 0.000 0.000 0.620
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 4 0.0336 0.7658 0.000 0.000 0.008 0.992
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.0817 0.7829 0.000 0.000 0.976 0.024
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.1284 0.9192 0.964 0.000 0.012 0.024
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.2589 0.7490 0.000 0.000 0.884 0.116
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.4193 0.6342 0.000 0.732 0.000 0.268
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0188 0.9412 0.996 0.000 0.004 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.6229 0.5156 0.664 0.000 0.204 0.132
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 4 0.5294 0.1202 0.484 0.000 0.008 0.508
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.3311 0.7102 0.000 0.000 0.828 0.172
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.3837 0.6236 0.000 0.224 0.000 0.776
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.2921 0.6745 0.000 0.140 0.860 0.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.0895 0.9283 0.976 0.000 0.004 0.020
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.3108 0.8271 0.872 0.000 0.112 0.016
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.4643 0.4975 0.000 0.656 0.000 0.344
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.6219 0.5136 0.264 0.000 0.640 0.096
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0188 0.9411 0.996 0.000 0.004 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.1297 0.9194 0.964 0.000 0.016 0.020
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.2011 0.8745 0.000 0.920 0.000 0.080
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 4 0.5028 0.1736 0.004 0.000 0.400 0.596
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 3 0.0469 0.7850 0.000 0.000 0.988 0.012
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 4 0.1356 0.7616 0.032 0.000 0.008 0.960
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.0188 0.9410 0.996 0.000 0.000 0.004
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.4661 0.4838 0.000 0.000 0.652 0.348
#> 00439565-02CE-4BF5-956D-7078B51C0947 3 0.0336 0.7851 0.000 0.000 0.992 0.008
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.4898 0.2249 0.584 0.000 0.000 0.416
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 2 0.0336 0.9328 0.008 0.992 0.000 0.000
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.4250 0.5976 0.000 0.000 0.724 0.276
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.0188 0.9412 0.996 0.000 0.004 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 4 0.0817 0.7703 0.000 0.024 0.000 0.976
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.3726 0.6735 0.000 0.000 0.788 0.212
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.0336 0.7853 0.000 0.000 0.992 0.008
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 3 0.0336 0.7851 0.000 0.000 0.992 0.008
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.0895 0.9287 0.976 0.000 0.020 0.004
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.2973 0.7995 0.856 0.000 0.144 0.000
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 3 0.4977 0.1758 0.460 0.000 0.540 0.000
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 3 0.0336 0.7851 0.000 0.000 0.992 0.008
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.0817 0.9271 0.976 0.000 0.024 0.000
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 4 0.0000 0.7678 0.000 0.000 0.000 1.000
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 4 0.1389 0.7646 0.000 0.048 0.000 0.952
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 2 0.0188 0.9379 0.000 0.996 0.000 0.004
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 2 0.5716 0.2585 0.028 0.552 0.420 0.000
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 3 0.3528 0.6205 0.192 0.000 0.808 0.000
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 4 0.0188 0.7683 0.004 0.000 0.000 0.996
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 1 0.1042 0.9249 0.972 0.000 0.008 0.020
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.0707 0.9306 0.980 0.000 0.020 0.000
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0000 0.9410 0.000 1.000 0.000 0.000
#> 9492A322-37CA-4582-AC68-66B5D80778AF 2 0.1716 0.8890 0.000 0.936 0.000 0.064
#> 993399A4-1B9F-4258-B2D0-155AD58A2E82 1 0.0000 0.9433 1.000 0.000 0.000 0.000
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#> 4938E366-C740-4C9C-9358-FF37997DC9EF 3 0.0336 0.7851 0.000 0.000 0.992 0.008
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.9433 1.000 0.000 0.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.9433 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.0162 0.8798 0.000 0.000 0.004 0.996 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0510 0.9599 0.000 0.000 0.984 0.000 0.016
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 5 0.3816 0.5788 0.000 0.000 0.304 0.000 0.696
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0404 0.9584 0.988 0.000 0.000 0.000 0.012
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0162 0.9604 0.996 0.000 0.000 0.000 0.004
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.5841 0.4434 0.000 0.180 0.608 0.000 0.212
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 4 0.4001 0.6604 0.204 0.000 0.020 0.768 0.008
#> 53062969-D209-490B-9C9B-5D297625E2AE 5 0.3928 0.5546 0.296 0.000 0.000 0.004 0.700
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0162 0.9604 0.996 0.000 0.000 0.000 0.004
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0162 0.9606 0.996 0.000 0.000 0.000 0.004
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0510 0.9599 0.000 0.000 0.984 0.000 0.016
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.4297 0.0929 0.000 0.528 0.000 0.472 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 5 0.0404 0.9008 0.000 0.000 0.012 0.000 0.988
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0404 0.9594 0.000 0.000 0.988 0.012 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0510 0.9607 0.016 0.000 0.984 0.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0290 0.9599 0.992 0.000 0.000 0.000 0.008
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0566 0.9554 0.984 0.000 0.012 0.000 0.004
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0609 0.9597 0.020 0.000 0.980 0.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0290 0.9599 0.992 0.000 0.000 0.000 0.008
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.1851 0.8956 0.912 0.000 0.000 0.000 0.088
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0609 0.9566 0.000 0.000 0.980 0.020 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0290 0.9597 0.992 0.000 0.008 0.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0609 0.9587 0.000 0.000 0.980 0.000 0.020
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.0671 0.9610 0.016 0.000 0.980 0.000 0.004
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0162 0.9604 0.996 0.000 0.000 0.000 0.004
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 4 0.2233 0.7927 0.104 0.000 0.000 0.892 0.004
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0290 0.9599 0.992 0.000 0.000 0.000 0.008
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0290 0.9594 0.992 0.000 0.008 0.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 5 0.2806 0.7701 0.000 0.152 0.004 0.000 0.844
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.1809 0.9173 0.928 0.000 0.012 0.000 0.060
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0404 0.9584 0.988 0.000 0.000 0.000 0.012
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0290 0.9593 0.992 0.000 0.008 0.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0162 0.9326 0.000 0.996 0.000 0.004 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0510 0.9607 0.016 0.000 0.984 0.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0794 0.9521 0.000 0.000 0.972 0.028 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0671 0.9546 0.980 0.000 0.000 0.016 0.004
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.0771 0.9586 0.020 0.000 0.976 0.000 0.004
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0510 0.9566 0.984 0.000 0.000 0.000 0.016
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0162 0.9604 0.996 0.000 0.000 0.000 0.004
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0510 0.9597 0.000 0.000 0.984 0.000 0.016
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.0000 0.8807 0.000 0.000 0.000 1.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0162 0.9606 0.996 0.000 0.000 0.000 0.004
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0162 0.9328 0.000 0.996 0.004 0.000 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0404 0.9606 0.000 0.000 0.988 0.000 0.012
#> F941890E-AB33-478F-8C97-1C785DD9428F 5 0.0324 0.9022 0.004 0.000 0.004 0.000 0.992
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 5 0.1831 0.8532 0.076 0.000 0.004 0.000 0.920
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.0880 0.9517 0.000 0.000 0.968 0.000 0.032
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0703 0.9568 0.000 0.000 0.976 0.000 0.024
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 4 0.0566 0.8751 0.012 0.000 0.000 0.984 0.004
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0290 0.9599 0.992 0.000 0.000 0.000 0.008
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0162 0.9604 0.996 0.000 0.000 0.000 0.004
#> 09758B6F-1B2D-4AED-8913-696097069409 4 0.3647 0.6300 0.228 0.000 0.004 0.764 0.004
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 4 0.0162 0.8797 0.000 0.000 0.000 0.996 0.004
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0290 0.9599 0.992 0.000 0.000 0.000 0.008
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.1197 0.9388 0.000 0.000 0.952 0.000 0.048
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0162 0.9604 0.996 0.000 0.004 0.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 3 0.0955 0.9519 0.028 0.000 0.968 0.000 0.004
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0510 0.9599 0.000 0.000 0.984 0.000 0.016
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 4 0.0963 0.8633 0.000 0.036 0.000 0.964 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.4242 0.2486 0.572 0.000 0.428 0.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.0609 0.9597 0.020 0.000 0.980 0.000 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0162 0.9606 0.996 0.000 0.000 0.000 0.004
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 4 0.4692 0.1665 0.460 0.000 0.004 0.528 0.008
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0324 0.9596 0.992 0.000 0.004 0.000 0.004
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0451 0.9583 0.988 0.000 0.008 0.000 0.004
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.0671 0.9594 0.000 0.000 0.980 0.004 0.016
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.2648 0.7568 0.000 0.152 0.000 0.848 0.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0162 0.9607 0.996 0.000 0.000 0.000 0.004
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 2 0.5828 0.1802 0.000 0.520 0.100 0.000 0.380
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0451 0.9575 0.988 0.000 0.008 0.000 0.004
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0162 0.9604 0.996 0.000 0.004 0.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0290 0.9599 0.992 0.000 0.000 0.000 0.008
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.0771 0.9514 0.976 0.000 0.020 0.000 0.004
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.3452 0.6758 0.756 0.000 0.244 0.000 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 4 0.0963 0.8628 0.000 0.036 0.000 0.964 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.0451 0.9613 0.008 0.000 0.988 0.000 0.004
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0290 0.9593 0.992 0.000 0.008 0.000 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 3 0.0771 0.9586 0.020 0.000 0.976 0.000 0.004
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.4242 0.2492 0.000 0.572 0.000 0.428 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.0671 0.9582 0.004 0.000 0.980 0.016 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0451 0.9582 0.988 0.000 0.008 0.000 0.004
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 5 0.1430 0.8733 0.000 0.000 0.004 0.052 0.944
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 4 0.0290 0.8780 0.008 0.000 0.000 0.992 0.000
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.1329 0.9381 0.956 0.000 0.008 0.032 0.004
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.0404 0.9606 0.000 0.000 0.988 0.000 0.012
#> 00439565-02CE-4BF5-956D-7078B51C0947 5 0.0290 0.9011 0.000 0.000 0.008 0.000 0.992
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 4 0.3128 0.7111 0.168 0.000 0.004 0.824 0.004
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 2 0.0290 0.9282 0.008 0.992 0.000 0.000 0.000
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.0510 0.9599 0.000 0.000 0.984 0.000 0.016
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.1041 0.9418 0.964 0.000 0.032 0.000 0.004
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 4 0.0000 0.8807 0.000 0.000 0.000 1.000 0.000
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.1430 0.9244 0.944 0.000 0.000 0.052 0.004
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.0510 0.9599 0.000 0.000 0.984 0.000 0.016
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.1341 0.9314 0.000 0.000 0.944 0.000 0.056
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 5 0.0451 0.9020 0.008 0.000 0.004 0.000 0.988
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.0510 0.9552 0.984 0.000 0.016 0.000 0.000
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.0162 0.9604 0.996 0.000 0.000 0.000 0.004
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.0451 0.9582 0.988 0.000 0.008 0.000 0.004
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.0794 0.9497 0.972 0.000 0.000 0.000 0.028
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.0290 0.9599 0.992 0.000 0.000 0.000 0.008
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.0880 0.9445 0.968 0.000 0.032 0.000 0.000
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.3177 0.7393 0.792 0.000 0.000 0.000 0.208
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 5 0.0404 0.9016 0.000 0.000 0.012 0.000 0.988
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.0290 0.9599 0.992 0.000 0.000 0.000 0.008
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 4 0.0000 0.8807 0.000 0.000 0.000 1.000 0.000
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 4 0.0000 0.8807 0.000 0.000 0.000 1.000 0.000
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 2 0.3585 0.6946 0.000 0.772 0.004 0.004 0.220
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 2 0.3848 0.7168 0.000 0.788 0.040 0.000 0.172
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 5 0.0671 0.9001 0.016 0.000 0.004 0.000 0.980
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 4 0.0162 0.8797 0.000 0.000 0.000 0.996 0.004
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.0000 0.9608 1.000 0.000 0.000 0.000 0.000
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 3 0.0609 0.9597 0.020 0.000 0.980 0.000 0.000
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.0880 0.9465 0.968 0.000 0.000 0.000 0.032
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> 9492A322-37CA-4582-AC68-66B5D80778AF 2 0.1341 0.8866 0.000 0.944 0.000 0.056 0.000
#> 993399A4-1B9F-4258-B2D0-155AD58A2E82 1 0.0324 0.9596 0.992 0.000 0.004 0.000 0.004
#> 7B7DC93D-5494-4E69-BE07-2967887182F9 1 0.1568 0.9289 0.944 0.000 0.020 0.000 0.036
#> 29BCBA51-2580-473D-9CF7-BEDBD0DBAD1B 4 0.0963 0.8622 0.000 0.036 0.000 0.964 0.000
#> 40855647-E942-4F32-90B7-BEB921929BFB 3 0.1544 0.9006 0.068 0.000 0.932 0.000 0.000
#> 0DC723D0-7C68-4495-A4B9-2DF2FF19AB14 4 0.0000 0.8807 0.000 0.000 0.000 1.000 0.000
#> 7540005F-57E0-4E2E-A8A2-BEF2B0F333B1 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> EB1DDB14-4076-4C2C-B911-390C17C21486 5 0.1956 0.8509 0.076 0.000 0.008 0.000 0.916
#> 9EA70EC4-8BA0-4E3D-B3CB-A68D19E89868 4 0.0162 0.8796 0.004 0.000 0.000 0.996 0.000
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#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0451 0.9575 0.988 0.000 0.008 0.000 0.004
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9355 0.000 1.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0510 0.9582 0.000 0.000 0.984 0.016 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 5 0.0579 0.9024 0.008 0.000 0.008 0.000 0.984
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0290 0.9591 0.992 0.000 0.008 0.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0162 0.9606 0.996 0.000 0.000 0.000 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.3409 0.64266 0.000 0.000 0.000 0.700 0.300 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0146 0.95486 0.000 0.000 0.996 0.000 0.004 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 6 0.6119 0.33092 0.000 0.000 0.312 0.000 0.324 0.364
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0363 0.82320 0.988 0.000 0.000 0.000 0.000 0.012
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.3023 0.64355 0.784 0.000 0.000 0.000 0.212 0.004
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.3789 0.34238 0.416 0.000 0.000 0.000 0.584 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.5697 0.31569 0.000 0.240 0.548 0.000 0.004 0.208
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.94415 0.000 1.000 0.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.2562 0.44606 0.000 0.000 0.000 0.172 0.828 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.4063 0.58317 0.736 0.000 0.000 0.052 0.004 0.208
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.3151 0.59584 0.748 0.000 0.000 0.000 0.252 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0146 0.82297 0.996 0.000 0.000 0.000 0.000 0.004
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.95537 0.000 0.000 1.000 0.000 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.3345 0.70320 0.000 0.776 0.000 0.204 0.020 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 6 0.0508 0.77288 0.000 0.000 0.004 0.000 0.012 0.984
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.95537 0.000 0.000 1.000 0.000 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0146 0.95486 0.000 0.000 0.996 0.000 0.004 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.3081 0.63786 0.776 0.000 0.000 0.000 0.220 0.004
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.2527 0.70293 0.832 0.000 0.000 0.000 0.168 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0146 0.95471 0.004 0.000 0.996 0.000 0.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.94415 0.000 1.000 0.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.2300 0.73239 0.856 0.000 0.000 0.000 0.144 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0146 0.82297 0.996 0.000 0.000 0.000 0.000 0.004
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.5662 0.20508 0.524 0.000 0.000 0.000 0.196 0.280
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0146 0.95486 0.000 0.000 0.996 0.000 0.004 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.1814 0.77635 0.900 0.000 0.000 0.000 0.100 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0000 0.95537 0.000 0.000 1.000 0.000 0.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.0508 0.95155 0.004 0.000 0.984 0.000 0.012 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.94415 0.000 1.000 0.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0146 0.94193 0.000 0.996 0.000 0.000 0.004 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.3446 0.49535 0.692 0.000 0.000 0.000 0.308 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.4818 0.26157 0.064 0.000 0.000 0.364 0.572 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0508 0.82212 0.984 0.000 0.000 0.000 0.012 0.004
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.82298 1.000 0.000 0.000 0.000 0.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0146 0.94205 0.000 0.996 0.000 0.000 0.004 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 6 0.4089 0.62109 0.032 0.204 0.000 0.000 0.020 0.744
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.0692 0.53737 0.020 0.000 0.000 0.000 0.976 0.004
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.94415 0.000 1.000 0.000 0.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.3620 0.64676 0.772 0.000 0.000 0.000 0.184 0.044
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.82298 1.000 0.000 0.000 0.000 0.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0713 0.92544 0.000 0.972 0.000 0.028 0.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0146 0.95471 0.004 0.000 0.996 0.000 0.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0000 0.95537 0.000 0.000 1.000 0.000 0.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.1168 0.81188 0.956 0.000 0.000 0.028 0.000 0.016
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.0146 0.95471 0.004 0.000 0.996 0.000 0.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.3344 0.69451 0.804 0.000 0.000 0.000 0.044 0.152
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 5 0.3860 0.18613 0.472 0.000 0.000 0.000 0.528 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.94415 0.000 1.000 0.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0146 0.95486 0.000 0.000 0.996 0.000 0.004 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.0458 0.86732 0.000 0.000 0.000 0.984 0.016 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0508 0.82185 0.984 0.000 0.000 0.004 0.012 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.2454 0.81038 0.000 0.840 0.000 0.000 0.160 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0146 0.95471 0.004 0.000 0.996 0.000 0.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 6 0.0458 0.77347 0.000 0.000 0.000 0.000 0.016 0.984
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 6 0.3592 0.38726 0.344 0.000 0.000 0.000 0.000 0.656
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.0000 0.95537 0.000 0.000 1.000 0.000 0.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.1549 0.90962 0.000 0.000 0.936 0.000 0.044 0.020
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 4 0.3838 0.23107 0.000 0.000 0.000 0.552 0.448 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.94415 0.000 1.000 0.000 0.000 0.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0725 0.81926 0.976 0.000 0.000 0.000 0.012 0.012
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.3499 0.48751 0.680 0.000 0.000 0.000 0.320 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 5 0.3828 -0.00723 0.000 0.000 0.000 0.440 0.560 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 4 0.0508 0.86823 0.000 0.000 0.004 0.984 0.012 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.2964 0.65593 0.792 0.000 0.000 0.000 0.204 0.004
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.94415 0.000 1.000 0.000 0.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.1074 0.92912 0.000 0.000 0.960 0.000 0.012 0.028
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0363 0.82196 0.988 0.000 0.000 0.000 0.012 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 3 0.1141 0.90698 0.052 0.000 0.948 0.000 0.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0146 0.95486 0.000 0.000 0.996 0.000 0.004 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 4 0.1245 0.85189 0.000 0.032 0.000 0.952 0.016 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.1863 0.76981 0.896 0.000 0.000 0.000 0.104 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.3607 0.36341 0.652 0.000 0.348 0.000 0.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.0291 0.95457 0.004 0.000 0.992 0.000 0.004 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0146 0.82297 0.996 0.000 0.000 0.000 0.000 0.004
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.4601 0.00347 0.496 0.000 0.000 0.472 0.004 0.028
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.1663 0.78046 0.912 0.000 0.000 0.000 0.088 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.1957 0.75881 0.888 0.000 0.000 0.000 0.112 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.94415 0.000 1.000 0.000 0.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.0146 0.95486 0.000 0.000 0.996 0.000 0.004 0.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.0363 0.86336 0.000 0.012 0.000 0.988 0.000 0.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0291 0.82333 0.992 0.000 0.000 0.000 0.004 0.004
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 5 0.7288 -0.30793 0.000 0.264 0.096 0.000 0.320 0.320
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.1610 0.78288 0.916 0.000 0.000 0.000 0.084 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.82298 1.000 0.000 0.000 0.000 0.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0146 0.82297 0.996 0.000 0.000 0.000 0.000 0.004
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.1391 0.80496 0.944 0.000 0.040 0.000 0.016 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.0363 0.82098 0.988 0.000 0.012 0.000 0.000 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 4 0.1858 0.83638 0.000 0.004 0.000 0.904 0.092 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0000 0.94415 0.000 1.000 0.000 0.000 0.000 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.0146 0.95486 0.000 0.000 0.996 0.000 0.004 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.1858 0.77838 0.912 0.000 0.076 0.000 0.012 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 3 0.0146 0.95471 0.004 0.000 0.996 0.000 0.000 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.4494 0.20130 0.000 0.544 0.000 0.424 0.032 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.0146 0.95471 0.004 0.000 0.996 0.000 0.000 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 5 0.3512 0.61151 0.272 0.000 0.000 0.008 0.720 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0260 0.82275 0.992 0.000 0.000 0.000 0.008 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 6 0.3314 0.55532 0.000 0.000 0.000 0.256 0.004 0.740
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 4 0.0000 0.86840 0.000 0.000 0.000 1.000 0.000 0.000
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 5 0.3925 0.63394 0.200 0.000 0.000 0.056 0.744 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.0000 0.95537 0.000 0.000 1.000 0.000 0.000 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 6 0.2454 0.74220 0.000 0.000 0.000 0.000 0.160 0.840
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.94415 0.000 1.000 0.000 0.000 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.94415 0.000 1.000 0.000 0.000 0.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.0146 0.82300 0.996 0.000 0.000 0.000 0.004 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 5 0.3804 0.22950 0.008 0.000 0.000 0.336 0.656 0.000
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.94415 0.000 1.000 0.000 0.000 0.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 2 0.0777 0.92515 0.004 0.972 0.000 0.000 0.024 0.000
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.0000 0.95537 0.000 0.000 1.000 0.000 0.000 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.0790 0.81071 0.968 0.000 0.032 0.000 0.000 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 4 0.1387 0.84978 0.000 0.000 0.000 0.932 0.068 0.000
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.94415 0.000 1.000 0.000 0.000 0.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 5 0.3956 0.58652 0.292 0.000 0.000 0.024 0.684 0.000
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.0146 0.95486 0.000 0.000 0.996 0.000 0.004 0.000
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.0937 0.92675 0.000 0.000 0.960 0.000 0.000 0.040
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 6 0.3364 0.63451 0.024 0.000 0.000 0.000 0.196 0.780
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.0146 0.82309 0.996 0.000 0.000 0.004 0.000 0.000
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.3864 -0.01654 0.520 0.000 0.000 0.000 0.480 0.000
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 5 0.3190 0.64208 0.220 0.000 0.000 0.008 0.772 0.000
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.1757 0.79298 0.916 0.000 0.000 0.000 0.008 0.076
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.0508 0.82212 0.984 0.000 0.000 0.000 0.012 0.004
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.0000 0.82298 1.000 0.000 0.000 0.000 0.000 0.000
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.3298 0.58532 0.756 0.000 0.000 0.000 0.008 0.236
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 6 0.0291 0.77317 0.000 0.000 0.004 0.000 0.004 0.992
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.1542 0.79935 0.936 0.000 0.004 0.000 0.008 0.052
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 4 0.0000 0.86840 0.000 0.000 0.000 1.000 0.000 0.000
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 4 0.2219 0.80908 0.000 0.000 0.000 0.864 0.136 0.000
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 6 0.5438 0.46858 0.000 0.260 0.000 0.000 0.172 0.568
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.0363 0.82196 0.988 0.000 0.000 0.000 0.012 0.000
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 2 0.5010 0.41065 0.000 0.564 0.012 0.000 0.372 0.052
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 6 0.3023 0.56893 0.232 0.000 0.000 0.000 0.000 0.768
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 4 0.0146 0.86780 0.000 0.000 0.000 0.996 0.004 0.000
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.0000 0.82298 1.000 0.000 0.000 0.000 0.000 0.000
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.0000 0.94415 0.000 1.000 0.000 0.000 0.000 0.000
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 3 0.0146 0.95486 0.000 0.000 0.996 0.000 0.004 0.000
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#> 89C45456-9392-4EB3-9A82-A130B6702AAF 4 0.3481 0.76202 0.000 0.000 0.000 0.804 0.124 0.072
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 6 0.2436 0.76053 0.000 0.000 0.032 0.000 0.088 0.880
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 6 0.0260 0.77324 0.000 0.000 0.000 0.000 0.008 0.992
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 5 0.3828 0.14404 0.000 0.440 0.000 0.000 0.560 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.0260 0.95330 0.000 0.000 0.992 0.000 0.008 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 4 0.1644 0.80562 0.004 0.000 0.076 0.920 0.000 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0146 0.82297 0.996 0.000 0.000 0.000 0.000 0.004
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0260 0.82212 0.992 0.000 0.000 0.000 0.008 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 4 0.6122 0.16886 0.000 0.324 0.000 0.360 0.316 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0458 0.82196 0.984 0.000 0.000 0.000 0.000 0.016
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.0000 0.86840 0.000 0.000 0.000 1.000 0.000 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 4 0.4724 0.49418 0.184 0.000 0.016 0.724 0.060 0.016
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 6 0.3314 0.68060 0.000 0.000 0.004 0.000 0.256 0.740
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 6 0.2845 0.67765 0.000 0.000 0.172 0.004 0.004 0.820
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0260 0.93944 0.000 0.992 0.000 0.000 0.008 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 6 0.0260 0.77182 0.008 0.000 0.000 0.000 0.000 0.992
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.5859 0.01386 0.460 0.000 0.000 0.000 0.332 0.208
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 6 0.3974 0.57943 0.048 0.000 0.000 0.000 0.224 0.728
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.95537 0.000 0.000 1.000 0.000 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.0291 0.95359 0.000 0.004 0.992 0.000 0.004 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 6 0.0363 0.77321 0.000 0.000 0.000 0.000 0.012 0.988
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.3740 0.63792 0.228 0.000 0.740 0.000 0.000 0.032
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0725 0.82008 0.976 0.000 0.000 0.000 0.012 0.012
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.1387 0.79451 0.932 0.000 0.000 0.000 0.068 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.94415 0.000 1.000 0.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.94415 0.000 1.000 0.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.95537 0.000 0.000 1.000 0.000 0.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 6 0.3376 0.61851 0.016 0.000 0.000 0.000 0.220 0.764
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.3847 0.10198 0.544 0.000 0.000 0.000 0.456 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.2964 0.66276 0.792 0.000 0.000 0.000 0.204 0.004
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 17469 rows and 309 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.
#> There is no best k.
#>
#> 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 0.818 0.889 0.2537 0.663 0.663
#> 3 3 0.795 0.857 0.931 0.6283 0.900 0.851
#> 4 4 0.833 0.809 0.897 0.0428 0.986 0.976
#> 5 5 0.683 0.778 0.861 0.0963 0.989 0.982
#> 6 6 0.456 0.677 0.788 0.1223 0.992 0.985
suggest_best_k()
suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] NA
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.9988 -0.515 0.520 0.480
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.0000 0.940 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.0000 0.940 1.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.940 1.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.940 1.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.940 1.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.0672 0.932 0.992 0.008
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.9358 0.792 0.352 0.648
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.0672 0.932 0.992 0.008
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0938 0.928 0.988 0.012
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.940 1.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.2043 0.905 0.968 0.032
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.0000 0.940 1.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.9944 0.725 0.456 0.544
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.0000 0.940 1.000 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.0000 0.940 1.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.0000 0.940 1.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0376 0.936 0.996 0.004
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.940 1.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0000 0.940 1.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.9754 0.802 0.408 0.592
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.940 1.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.940 1.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.940 1.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.0000 0.940 1.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0000 0.940 1.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.0000 0.940 1.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0000 0.940 1.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.9732 0.803 0.404 0.596
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 1 0.9866 -0.522 0.568 0.432
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.940 1.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0376 0.936 0.996 0.004
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.940 1.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.940 1.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 1 0.3879 0.828 0.924 0.076
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.0376 0.936 0.996 0.004
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.0376 0.936 0.996 0.004
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.9754 0.802 0.408 0.592
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.940 1.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.940 1.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.9358 0.792 0.352 0.648
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.0000 0.940 1.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.5178 0.748 0.884 0.116
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.3431 0.856 0.936 0.064
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.0000 0.940 1.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0000 0.940 1.000 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.940 1.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.9732 0.803 0.404 0.596
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.0000 0.940 1.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.6531 0.647 0.168 0.832
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.1184 0.925 0.984 0.016
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.9815 0.778 0.420 0.580
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.0000 0.940 1.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.0938 0.928 0.988 0.012
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0000 0.940 1.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.0000 0.940 1.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 1 0.0000 0.940 1.000 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.0376 0.936 0.996 0.004
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 1 0.9988 -0.649 0.520 0.480
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.940 1.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.940 1.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.9988 -0.515 0.520 0.480
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.0000 0.940 1.000 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.940 1.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.9754 0.802 0.408 0.592
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 1 0.0000 0.940 1.000 0.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.1184 0.925 0.984 0.016
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.0000 0.940 1.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 1 0.0000 0.940 1.000 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.9944 0.725 0.456 0.544
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0000 0.940 1.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0000 0.940 1.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.0000 0.940 1.000 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0376 0.936 0.996 0.004
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.3431 0.856 0.936 0.064
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.940 1.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0000 0.940 1.000 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.9775 0.799 0.412 0.588
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 1 0.0000 0.940 1.000 0.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.6973 0.640 0.188 0.812
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0000 0.940 1.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 1 0.0938 0.927 0.988 0.012
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0000 0.940 1.000 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.940 1.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.940 1.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.3431 0.856 0.936 0.064
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.0672 0.933 0.992 0.008
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.9996 0.670 0.488 0.512
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.9358 0.792 0.352 0.648
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 1 0.0000 0.940 1.000 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0376 0.936 0.996 0.004
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.0000 0.940 1.000 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.9954 0.725 0.460 0.540
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.0000 0.940 1.000 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0000 0.940 1.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0000 0.940 1.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.0938 0.929 0.988 0.012
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 2 0.9393 0.565 0.356 0.644
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.2043 0.904 0.968 0.032
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#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.0000 0.940 1.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.0000 0.940 1.000 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.1414 0.916 0.980 0.020
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.940 1.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.940 1.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.0938 0.929 0.988 0.012
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.0000 0.940 1.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.0000 0.940 1.000 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.0000 0.940 1.000 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.940 1.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.2043 0.904 0.968 0.032
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.940 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.9732 0.803 0.404 0.596
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.9795 0.797 0.416 0.584
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.0000 0.940 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.940 1.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.940 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0672 0.931 0.992 0.008
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.8727 0.533 0.236 0.176 0.588
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.0000 0.973 1.000 0.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.0000 0.973 1.000 0.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.973 1.000 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.973 1.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.973 1.000 0.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.1529 0.940 0.960 0.040 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.3983 0.772 0.004 0.852 0.144
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.0747 0.963 0.984 0.000 0.016
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.1877 0.939 0.956 0.032 0.012
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.973 1.000 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.2806 0.910 0.928 0.040 0.032
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.0000 0.973 1.000 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 3 0.6497 0.406 0.016 0.336 0.648
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.0237 0.971 0.996 0.000 0.004
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.0000 0.973 1.000 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.0000 0.973 1.000 0.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0661 0.967 0.988 0.004 0.008
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.973 1.000 0.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0000 0.973 1.000 0.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0661 0.861 0.004 0.988 0.008
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.973 1.000 0.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.973 1.000 0.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.973 1.000 0.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.0000 0.973 1.000 0.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0000 0.973 1.000 0.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.0000 0.973 1.000 0.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0000 0.973 1.000 0.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0892 0.856 0.000 0.980 0.020
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.7603 0.441 0.096 0.668 0.236
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.973 1.000 0.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0661 0.967 0.988 0.004 0.008
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0424 0.968 0.992 0.000 0.008
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.973 1.000 0.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 1 0.3644 0.832 0.872 0.124 0.004
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.0848 0.964 0.984 0.008 0.008
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.1453 0.948 0.968 0.024 0.008
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0661 0.861 0.004 0.988 0.008
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.973 1.000 0.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.973 1.000 0.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.3983 0.772 0.004 0.852 0.144
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.0000 0.973 1.000 0.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.5357 0.760 0.820 0.064 0.116
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.3764 0.869 0.892 0.040 0.068
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.0000 0.973 1.000 0.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0000 0.973 1.000 0.000 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.973 1.000 0.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0237 0.858 0.000 0.996 0.004
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.0000 0.973 1.000 0.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 3 0.1860 0.518 0.000 0.052 0.948
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.1774 0.943 0.960 0.024 0.016
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.6442 0.259 0.004 0.564 0.432
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.0000 0.973 1.000 0.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.1031 0.957 0.976 0.000 0.024
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0000 0.973 1.000 0.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.0000 0.973 1.000 0.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 1 0.0000 0.973 1.000 0.000 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.0475 0.969 0.992 0.004 0.004
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.6936 0.562 0.064 0.704 0.232
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.973 1.000 0.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.973 1.000 0.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 3 0.8727 0.533 0.236 0.176 0.588
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.0000 0.973 1.000 0.000 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.973 1.000 0.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0237 0.860 0.004 0.996 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 1 0.0000 0.973 1.000 0.000 0.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.1774 0.943 0.960 0.024 0.016
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.0000 0.973 1.000 0.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 1 0.0000 0.973 1.000 0.000 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 3 0.6497 0.406 0.016 0.336 0.648
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0000 0.973 1.000 0.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0000 0.973 1.000 0.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.0000 0.973 1.000 0.000 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0661 0.966 0.988 0.008 0.004
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.3764 0.869 0.892 0.040 0.068
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.973 1.000 0.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.1170 0.957 0.976 0.016 0.008
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0661 0.860 0.008 0.988 0.004
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 1 0.0000 0.973 1.000 0.000 0.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 3 0.1411 0.557 0.036 0.000 0.964
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0000 0.973 1.000 0.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 1 0.1337 0.954 0.972 0.012 0.016
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0000 0.973 1.000 0.000 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.973 1.000 0.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.973 1.000 0.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.4652 0.818 0.856 0.064 0.080
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.0848 0.964 0.984 0.008 0.008
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 3 0.7801 0.465 0.076 0.308 0.616
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.3983 0.772 0.004 0.852 0.144
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 1 0.0000 0.973 1.000 0.000 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0661 0.966 0.988 0.004 0.008
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.0000 0.973 1.000 0.000 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 3 0.7067 0.327 0.028 0.376 0.596
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.0000 0.973 1.000 0.000 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0000 0.973 1.000 0.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0000 0.973 1.000 0.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.1781 0.945 0.960 0.020 0.020
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 3 0.5621 0.479 0.308 0.000 0.692
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.2926 0.907 0.924 0.036 0.040
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 1 0.0000 0.973 1.000 0.000 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 1 0.0237 0.971 0.996 0.000 0.004
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0475 0.861 0.004 0.992 0.004
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0237 0.860 0.004 0.996 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.1491 0.950 0.968 0.016 0.016
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.0237 0.970 0.996 0.004 0.000
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0661 0.861 0.004 0.988 0.008
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 1 0.4745 0.813 0.852 0.068 0.080
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 1 0.0000 0.973 1.000 0.000 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.0000 0.973 1.000 0.000 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 3 0.6960 0.586 0.152 0.116 0.732
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0892 0.856 0.000 0.980 0.020
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.0237 0.971 0.996 0.000 0.004
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 1 0.0000 0.973 1.000 0.000 0.000
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 1 0.0000 0.973 1.000 0.000 0.000
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.0000 0.973 1.000 0.000 0.000
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.0237 0.971 0.996 0.000 0.004
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.0000 0.973 1.000 0.000 0.000
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.0829 0.964 0.984 0.004 0.012
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.0000 0.973 1.000 0.000 0.000
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.0424 0.968 0.992 0.008 0.000
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.0000 0.973 1.000 0.000 0.000
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.0000 0.973 1.000 0.000 0.000
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 1 0.0661 0.966 0.988 0.004 0.008
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.0424 0.968 0.992 0.008 0.000
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 3 0.5291 0.508 0.268 0.000 0.732
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 3 0.6960 0.586 0.152 0.116 0.732
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 1 0.6234 0.682 0.776 0.096 0.128
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.0000 0.973 1.000 0.000 0.000
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 1 0.1015 0.960 0.980 0.012 0.008
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 1 0.0000 0.973 1.000 0.000 0.000
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 3 0.5621 0.479 0.308 0.000 0.692
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.0000 0.973 1.000 0.000 0.000
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.0983 0.860 0.004 0.980 0.016
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 1 0.0000 0.973 1.000 0.000 0.000
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.1267 0.847 0.024 0.972 0.004
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0475 0.861 0.004 0.992 0.004
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.0848 0.963 0.984 0.008 0.008
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0424 0.858 0.000 0.992 0.008
#> 9492A322-37CA-4582-AC68-66B5D80778AF 3 0.7067 0.327 0.028 0.376 0.596
#> 993399A4-1B9F-4258-B2D0-155AD58A2E82 1 0.1905 0.939 0.956 0.028 0.016
#> 7B7DC93D-5494-4E69-BE07-2967887182F9 1 0.0000 0.973 1.000 0.000 0.000
#> 29BCBA51-2580-473D-9CF7-BEDBD0DBAD1B 3 0.6849 0.334 0.020 0.380 0.600
#> 40855647-E942-4F32-90B7-BEB921929BFB 1 0.0000 0.973 1.000 0.000 0.000
#> 0DC723D0-7C68-4495-A4B9-2DF2FF19AB14 3 0.6960 0.586 0.152 0.116 0.732
#> 7540005F-57E0-4E2E-A8A2-BEF2B0F333B1 2 0.6632 0.552 0.036 0.692 0.272
#> EB1DDB14-4076-4C2C-B911-390C17C21486 1 0.0000 0.973 1.000 0.000 0.000
#> 9EA70EC4-8BA0-4E3D-B3CB-A68D19E89868 3 0.5882 0.440 0.348 0.000 0.652
#> B04E2E50-0A6E-4224-A825-1714D12E5669 2 0.1129 0.851 0.020 0.976 0.004
#> B0BF5E01-536D-40FF-9C24-CBBD611E2FC2 1 0.0000 0.973 1.000 0.000 0.000
#> 7B6B1788-B297-4442-B6BE-B7CE8754491E 1 0.0000 0.973 1.000 0.000 0.000
#> A090D00C-34DF-4906-A517-4803C4C9A332 1 0.0000 0.973 1.000 0.000 0.000
#> 340D44A6-9BEA-412C-9973-D9ABD6692255 1 0.0000 0.973 1.000 0.000 0.000
#> E8D0D1E7-E5A8-4014-80C1-0245F90F4358 3 0.6497 0.406 0.016 0.336 0.648
#> 19EA1494-8572-40E1-B9BB-3739F47B607D 1 0.0000 0.973 1.000 0.000 0.000
#> 1C1B4793-8DAF-4763-BA4D-C4E869A4ED35 1 0.9167 -0.129 0.512 0.168 0.320
#> 45BF59B3-95BD-4196-ABAA-4C4F0DB38572 1 0.6848 0.601 0.736 0.100 0.164
#> 47B5A2A7-7E13-4558-99D2-067F5075C6A4 1 0.3148 0.897 0.916 0.048 0.036
#> E94638E8-CB51-4FBB-8BCB-4BFD7A812291 1 0.2313 0.928 0.944 0.032 0.024
#> A17352A8-0D3C-4545-8136-7DAE2FB0E102 3 0.9335 0.430 0.324 0.184 0.492
#> B18A6F95-D4ED-416B-B5A1-9A4934865D0D 2 0.4563 0.773 0.036 0.852 0.112
#> 33E92C5F-0C42-4549-AD5B-0A064182A272 1 0.0000 0.973 1.000 0.000 0.000
#> E041B375-3E60-4F18-A6EF-D1C249E3B8EE 1 0.0000 0.973 1.000 0.000 0.000
#> EDF90AF6-6C64-4BD2-AADF-8D7D188650B2 2 0.5254 0.627 0.000 0.736 0.264
#> 569320D2-316C-4E2D-B7B3-D7D5C4DAD42D 1 0.0424 0.968 0.992 0.008 0.000
#> AFFB223D-DAE9-4567-9EF2-8E4DF9D8782D 3 0.6865 0.313 0.020 0.384 0.596
#> 56FC9454-0A6A-4CC3-95C4-BE0E0D0BAFCE 3 0.6095 0.246 0.000 0.392 0.608
#> 43226365-FAEF-46C5-AF1B-5C6C2BED84FF 1 0.1015 0.962 0.980 0.012 0.008
#> 1536110A-B42A-4A84-9474-9895321FDCE9 3 0.8896 0.469 0.156 0.292 0.552
#> 812255DD-536B-4216-90B1-27D5AB339BE2 1 0.0661 0.967 0.988 0.004 0.008
#> 5D4563D6-68B7-4C9D-A3F4-AA7D45D5112C 3 0.1753 0.516 0.000 0.048 0.952
#> BAA39781-DB94-473C-98B1-FA6CD3E1C67A 1 0.0000 0.973 1.000 0.000 0.000
#> C1411CDA-814D-4E21-8929-C0F77858828F 1 0.0000 0.973 1.000 0.000 0.000
#> EFE2F248-C13E-4E8D-9153-8C903848AC4A 3 0.8918 0.488 0.296 0.156 0.548
#> D3939C84-D1D6-4060-9F91-AEB222A9BDD5 1 0.0000 0.973 1.000 0.000 0.000
#> EABD2987-8C1E-49E5-94AF-C0BDE5335A48 1 0.0000 0.973 1.000 0.000 0.000
#> F4BE2ABE-2CEB-4A6A-B8EC-0355F8C63B9B 1 0.0000 0.973 1.000 0.000 0.000
#> 627BC251-D217-4955-B718-6B9D6DEA1756 1 0.0000 0.973 1.000 0.000 0.000
#> 31B54613-A20E-4039-BB8B-9B52104CE418 1 0.0000 0.973 1.000 0.000 0.000
#> 3F292B7C-A535-4DBD-BC20-CB4F85A1C94B 1 0.0424 0.969 0.992 0.000 0.008
#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 3 0.1860 0.518 0.000 0.052 0.948
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.0237 0.860 0.004 0.996 0.000
#> 4588817E-1068-4A78-86B6-4674A0112DDA 1 0.0000 0.973 1.000 0.000 0.000
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 2 0.0592 0.858 0.012 0.988 0.000
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.0000 0.973 1.000 0.000 0.000
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.0000 0.973 1.000 0.000 0.000
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.7129 0.387 0.180 0.716 0.104
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.0000 0.973 1.000 0.000 0.000
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 1 0.0000 0.973 1.000 0.000 0.000
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 3 0.5591 0.369 0.000 0.304 0.696
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.0424 0.861 0.008 0.992 0.000
#> B3F746DC-E487-4305-9F30-825D1520E8FD 3 0.1129 0.544 0.020 0.004 0.976
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.4335 0.831 0.864 0.036 0.100
#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.0000 0.973 1.000 0.000 0.000
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.0000 0.973 1.000 0.000 0.000
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.0000 0.973 1.000 0.000 0.000
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.0000 0.973 1.000 0.000 0.000
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.5291 0.620 0.000 0.732 0.268
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.0000 0.973 1.000 0.000 0.000
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.3623 0.875 0.896 0.032 0.072
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.0000 0.973 1.000 0.000 0.000
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.0000 0.973 1.000 0.000 0.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 3 0.9374 0.434 0.316 0.192 0.492
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.0000 0.973 1.000 0.000 0.000
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0000 0.973 1.000 0.000 0.000
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.2031 0.935 0.952 0.032 0.016
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.0000 0.973 1.000 0.000 0.000
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0661 0.967 0.988 0.004 0.008
#> 9EEECA0E-530D-4724-B016-A716F0782148 1 0.1411 0.948 0.964 0.000 0.036
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.0000 0.973 1.000 0.000 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0829 0.858 0.012 0.984 0.004
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 3 0.1529 0.559 0.040 0.000 0.960
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.1031 0.957 0.976 0.000 0.024
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.0237 0.971 0.996 0.000 0.004
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0000 0.973 1.000 0.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.0000 0.973 1.000 0.000 0.000
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0424 0.968 0.992 0.000 0.008
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 1 0.3644 0.832 0.872 0.124 0.004
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.0892 0.960 0.980 0.020 0.000
#> DD51C17C-300F-44A4-955A-C9BC85417842 1 0.0000 0.973 1.000 0.000 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0000 0.973 1.000 0.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.0000 0.973 1.000 0.000 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 3 0.9217 0.468 0.208 0.260 0.532
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 1 0.0000 0.973 1.000 0.000 0.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.1267 0.847 0.024 0.972 0.004
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0237 0.860 0.004 0.996 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.3340 0.802 0.000 0.880 0.120
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.0000 0.973 1.000 0.000 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 1 0.0000 0.973 1.000 0.000 0.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.0475 0.969 0.992 0.004 0.004
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0000 0.973 1.000 0.000 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0000 0.973 1.000 0.000 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.0000 0.973 1.000 0.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.0000 0.973 1.000 0.000 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.0747 0.963 0.984 0.000 0.016
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0475 0.969 0.992 0.004 0.004
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.1129 0.851 0.020 0.976 0.004
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.1031 0.956 0.976 0.000 0.024
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.0000 0.973 1.000 0.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.0000 0.973 1.000 0.000 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 3 0.2050 0.547 0.020 0.028 0.952
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.4121 0.756 0.000 0.832 0.168
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.973 1.000 0.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 3 0.6849 0.334 0.020 0.380 0.600
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.7129 0.387 0.180 0.716 0.104
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0000 0.973 1.000 0.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0000 0.973 1.000 0.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 1 0.8574 -0.227 0.472 0.432 0.096
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0237 0.860 0.004 0.996 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.0000 0.973 1.000 0.000 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.973 1.000 0.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0000 0.973 1.000 0.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 3 0.9203 0.385 0.368 0.156 0.476
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.3340 0.844 0.880 0.000 0.120
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 3 0.6849 0.334 0.020 0.380 0.600
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.973 1.000 0.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.973 1.000 0.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.973 1.000 0.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.0000 0.973 1.000 0.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0661 0.966 0.988 0.004 0.008
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.3918 0.775 0.004 0.856 0.140
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.973 1.000 0.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.973 1.000 0.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0000 0.973 1.000 0.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0000 0.973 1.000 0.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.7144 0.526 0.700 0.080 0.220
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.973 1.000 0.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0000 0.973 1.000 0.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.0424 0.968 0.992 0.008 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.7144 0.526 0.700 0.080 0.220
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0237 0.971 0.996 0.000 0.004
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.0000 0.973 1.000 0.000 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.973 1.000 0.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.3983 0.772 0.004 0.852 0.144
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.973 1.000 0.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 3 0.8727 0.533 0.236 0.176 0.588
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.973 1.000 0.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.973 1.000 0.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.973 1.000 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.3425 0.801 0.004 0.884 0.112
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.1411 0.948 0.964 0.000 0.036
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 1 0.0592 0.966 0.988 0.012 0.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.1031 0.957 0.976 0.000 0.024
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.7741 0.418 0.104 0.660 0.236
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.0237 0.971 0.996 0.004 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.8633 -0.296 0.464 0.100 0.436
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.1711 0.942 0.960 0.032 0.008
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.973 1.000 0.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 3 0.6603 0.416 0.020 0.332 0.648
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0424 0.968 0.992 0.008 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 3 0.1529 0.559 0.040 0.000 0.960
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.3530 0.880 0.900 0.032 0.068
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.0000 0.973 1.000 0.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.0000 0.973 1.000 0.000 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.1765 0.938 0.956 0.004 0.040
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.973 1.000 0.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.973 1.000 0.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.1491 0.951 0.968 0.016 0.016
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.0000 0.973 1.000 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.0237 0.971 0.996 0.000 0.004
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.0237 0.971 0.996 0.000 0.004
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.973 1.000 0.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.2569 0.920 0.936 0.032 0.032
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.973 1.000 0.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0424 0.858 0.000 0.992 0.008
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.1129 0.851 0.020 0.976 0.004
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.0000 0.973 1.000 0.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.973 1.000 0.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.973 1.000 0.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.1015 0.961 0.980 0.008 0.012
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.7036 0.0896 0.208 0.000 0.216 0.576
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.2010 0.9251 0.940 0.040 0.012 0.008
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.5803 0.6891 0.004 0.716 0.172 0.108
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.0804 0.9602 0.980 0.000 0.008 0.012
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.1398 0.9415 0.956 0.000 0.004 0.040
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.2101 0.9141 0.928 0.000 0.012 0.060
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.2101 0.2928 0.000 0.012 0.060 0.928
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.0188 0.9696 0.996 0.000 0.000 0.004
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.0524 0.9673 0.988 0.000 0.004 0.008
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0592 0.9656 0.984 0.000 0.000 0.016
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0000 0.9706 1.000 0.000 0.000 0.000
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#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.7129 0.3776 0.160 0.664 0.068 0.108
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 4 0.7495 0.0808 0.000 0.192 0.340 0.468
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.1576 0.8170 0.000 0.948 0.048 0.004
#> B3F746DC-E487-4305-9F30-825D1520E8FD 3 0.5152 0.3882 0.004 0.004 0.608 0.384
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.3390 0.8232 0.852 0.000 0.016 0.132
#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 25A5BC09-0D88-4385-87AF-997F9018522D 4 0.6757 0.1276 0.000 0.308 0.120 0.572
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.2943 0.8779 0.892 0.000 0.032 0.076
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 4 0.5085 0.1457 0.288 0.008 0.012 0.692
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.1545 0.9374 0.952 0.000 0.008 0.040
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0469 0.9666 0.988 0.000 0.000 0.012
#> 9EEECA0E-530D-4724-B016-A716F0782148 1 0.1388 0.9478 0.960 0.000 0.012 0.028
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.1824 0.8195 0.004 0.936 0.060 0.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 3 0.5203 0.4076 0.016 0.000 0.636 0.348
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.0921 0.9571 0.972 0.000 0.000 0.028
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.0188 0.9695 0.996 0.000 0.000 0.004
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0469 0.9669 0.988 0.000 0.000 0.012
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 1 0.3668 0.8134 0.852 0.116 0.028 0.004
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.0967 0.9607 0.976 0.004 0.004 0.016
#> DD51C17C-300F-44A4-955A-C9BC85417842 1 0.0524 0.9673 0.988 0.000 0.004 0.008
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 4 0.4461 0.2484 0.184 0.012 0.016 0.788
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.4034 0.7646 0.008 0.796 0.192 0.004
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0524 0.8182 0.000 0.988 0.008 0.004
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.6943 0.5206 0.000 0.576 0.160 0.264
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 1 0.0524 0.9673 0.988 0.000 0.004 0.008
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.0336 0.9682 0.992 0.000 0.000 0.008
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.0707 0.9623 0.980 0.000 0.000 0.020
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0336 0.9682 0.992 0.000 0.000 0.008
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.3852 0.7657 0.008 0.800 0.192 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.1209 0.9495 0.964 0.000 0.004 0.032
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.0524 0.9673 0.988 0.000 0.004 0.008
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 3 0.5243 0.3719 0.004 0.004 0.576 0.416
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 4 0.7325 -0.0989 0.000 0.368 0.160 0.472
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 4 0.3170 0.3141 0.008 0.044 0.056 0.892
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.7129 0.3776 0.160 0.664 0.068 0.108
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 1 0.7941 -0.1992 0.456 0.396 0.048 0.100
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.2053 0.8142 0.000 0.924 0.072 0.004
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.0524 0.9673 0.988 0.000 0.004 0.008
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 4 0.6657 0.0559 0.352 0.028 0.044 0.576
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.3271 0.8193 0.856 0.000 0.012 0.132
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 4 0.3170 0.3141 0.008 0.044 0.056 0.892
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0657 0.9657 0.984 0.000 0.004 0.012
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.5082 0.7123 0.004 0.776 0.112 0.108
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.6176 0.5033 0.676 0.016 0.068 0.240
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.0712 0.9632 0.984 0.008 0.004 0.004
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.6176 0.5033 0.676 0.016 0.068 0.240
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0188 0.9696 0.996 0.000 0.000 0.004
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.5857 0.6851 0.004 0.712 0.172 0.112
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 4 0.7036 0.0896 0.208 0.000 0.216 0.576
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.5705 0.6521 0.000 0.712 0.108 0.180
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.1388 0.9478 0.960 0.000 0.012 0.028
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 1 0.0712 0.9650 0.984 0.008 0.004 0.004
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.0921 0.9571 0.972 0.000 0.000 0.028
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 4 0.7772 0.1713 0.084 0.368 0.052 0.496
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.0336 0.9691 0.992 0.000 0.000 0.008
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.7721 -0.3095 0.448 0.000 0.280 0.272
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.1302 0.9440 0.956 0.000 0.000 0.044
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 4 0.1978 0.2850 0.000 0.004 0.068 0.928
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0336 0.9678 0.992 0.000 0.000 0.008
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 3 0.5203 0.4076 0.016 0.000 0.636 0.348
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.2845 0.8826 0.896 0.000 0.028 0.076
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.1930 0.9227 0.936 0.004 0.004 0.056
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.1209 0.9517 0.964 0.000 0.004 0.032
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.0469 0.9673 0.988 0.000 0.000 0.012
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.0336 0.9689 0.992 0.000 0.000 0.008
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.1938 0.9220 0.936 0.000 0.012 0.052
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.2867 0.8088 0.000 0.884 0.104 0.012
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.3852 0.7657 0.008 0.800 0.192 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0188 0.9698 0.996 0.000 0.000 0.004
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.9706 1.000 0.000 0.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0817 0.9602 0.976 0.000 0.000 0.024
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 5 0.7643 0.22508 0.140 0.000 NA 0.276 0.472
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.0798 0.93964 0.976 0.000 NA 0.008 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.2046 0.92373 0.916 0.000 NA 0.016 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.1430 0.93152 0.944 0.000 NA 0.004 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0771 0.93930 0.976 0.000 NA 0.004 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0703 0.93555 0.976 0.000 NA 0.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.3439 0.87580 0.848 0.028 NA 0.020 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.5844 0.65949 0.000 0.672 NA 0.060 0.068
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.1891 0.92562 0.936 0.000 NA 0.016 0.016
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.2701 0.90055 0.884 0.000 NA 0.012 0.012
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0865 0.93631 0.972 0.000 NA 0.004 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.3483 0.86809 0.852 0.000 NA 0.032 0.028
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.1701 0.93233 0.936 0.000 NA 0.016 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 5 0.2077 0.27723 0.000 0.008 NA 0.084 0.908
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.1991 0.92173 0.916 0.000 NA 0.004 0.004
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.1661 0.93264 0.940 0.000 NA 0.024 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.0693 0.93896 0.980 0.000 NA 0.012 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.1243 0.93984 0.960 0.000 NA 0.008 0.004
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0703 0.93555 0.976 0.000 NA 0.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0771 0.93645 0.976 0.000 NA 0.004 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.1197 0.76554 0.000 0.952 NA 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0609 0.93797 0.980 0.000 NA 0.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0510 0.93896 0.984 0.000 NA 0.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.1831 0.92245 0.920 0.000 NA 0.004 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.0807 0.93861 0.976 0.000 NA 0.012 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0510 0.93720 0.984 0.000 NA 0.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.2423 0.91453 0.896 0.000 NA 0.024 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0771 0.93845 0.976 0.000 NA 0.004 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.3209 0.71412 0.000 0.812 NA 0.008 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 5 0.8785 0.14836 0.052 0.280 NA 0.108 0.396
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0609 0.93607 0.980 0.000 NA 0.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.1412 0.93245 0.952 0.000 NA 0.004 0.008
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.2032 0.92761 0.924 0.000 NA 0.020 0.004
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0609 0.93844 0.980 0.000 NA 0.000 0.000
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#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.0671 0.93894 0.980 0.000 NA 0.004 0.000
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.0703 0.93555 0.976 0.000 NA 0.000 0.000
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.1043 0.93575 0.960 0.000 NA 0.000 0.000
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.0510 0.93896 0.984 0.000 NA 0.000 0.000
#> 25A5BC09-0D88-4385-87AF-997F9018522D 5 0.8073 0.12916 0.000 0.220 NA 0.124 0.416
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.0898 0.93776 0.972 0.000 NA 0.008 0.000
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.3872 0.85322 0.836 0.000 NA 0.060 0.040
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.1041 0.93575 0.964 0.000 NA 0.000 0.004
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.0865 0.93631 0.972 0.000 NA 0.004 0.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 5 0.5615 0.26427 0.260 0.000 NA 0.024 0.648
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.0771 0.93645 0.976 0.000 NA 0.004 0.000
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0771 0.93906 0.976 0.000 NA 0.004 0.000
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.2770 0.89947 0.888 0.000 NA 0.020 0.016
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.0609 0.93607 0.980 0.000 NA 0.000 0.000
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.1830 0.93442 0.932 0.000 NA 0.012 0.004
#> 9EEECA0E-530D-4724-B016-A716F0782148 1 0.3426 0.88980 0.856 0.000 NA 0.032 0.028
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.0671 0.93757 0.980 0.000 NA 0.004 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.1410 0.77001 0.000 0.940 NA 0.000 0.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 4 0.2463 0.42635 0.004 0.000 NA 0.888 0.100
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.3169 0.89708 0.868 0.000 NA 0.024 0.024
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.1571 0.92838 0.936 0.000 NA 0.000 0.004
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0794 0.93689 0.972 0.000 NA 0.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.0865 0.93631 0.972 0.000 NA 0.004 0.000
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.1644 0.93200 0.940 0.000 NA 0.008 0.004
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 1 0.4716 0.75524 0.760 0.072 NA 0.020 0.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.2416 0.91001 0.888 0.000 NA 0.012 0.000
#> DD51C17C-300F-44A4-955A-C9BC85417842 1 0.1893 0.92891 0.928 0.000 NA 0.024 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0510 0.93924 0.984 0.000 NA 0.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.1041 0.93575 0.964 0.000 NA 0.000 0.004
#> B2088466-FA5D-491C-9982-99B33683E66F 5 0.5379 0.32636 0.164 0.004 NA 0.044 0.724
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 1 0.0693 0.93896 0.980 0.000 NA 0.012 0.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.4264 0.66167 0.000 0.620 NA 0.004 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.1792 0.76772 0.000 0.916 NA 0.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.6960 0.42999 0.000 0.528 NA 0.036 0.204
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.0771 0.93645 0.976 0.000 NA 0.004 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 1 0.1800 0.92975 0.932 0.000 NA 0.020 0.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.1243 0.93429 0.960 0.000 NA 0.008 0.004
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0609 0.93607 0.980 0.000 NA 0.000 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0703 0.93555 0.976 0.000 NA 0.000 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.0912 0.93847 0.972 0.000 NA 0.012 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.2233 0.91778 0.904 0.000 NA 0.016 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.1518 0.93336 0.952 0.000 NA 0.020 0.012
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.1243 0.93800 0.960 0.000 NA 0.008 0.004
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.4251 0.66303 0.000 0.624 NA 0.004 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.3110 0.90106 0.876 0.000 NA 0.044 0.020
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.1893 0.92891 0.928 0.000 NA 0.024 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.0955 0.93898 0.968 0.000 NA 0.004 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 4 0.4768 0.41961 0.000 0.000 NA 0.724 0.180
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 5 0.7800 -0.00648 0.000 0.296 NA 0.060 0.356
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0963 0.93919 0.964 0.000 NA 0.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 5 0.5148 0.20155 0.000 0.012 NA 0.180 0.712
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.7376 0.41088 0.132 0.612 NA 0.100 0.052
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0865 0.93761 0.972 0.000 NA 0.004 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0609 0.93813 0.980 0.000 NA 0.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 1 0.8229 -0.22436 0.424 0.336 NA 0.084 0.048
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.2732 0.76280 0.000 0.840 NA 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.1893 0.92891 0.928 0.000 NA 0.024 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0609 0.93607 0.980 0.000 NA 0.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0703 0.93555 0.976 0.000 NA 0.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 5 0.6900 0.17800 0.328 0.020 NA 0.080 0.532
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.4112 0.78437 0.812 0.000 NA 0.072 0.096
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 5 0.5148 0.20155 0.000 0.012 NA 0.180 0.712
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0609 0.93607 0.980 0.000 NA 0.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0703 0.93555 0.976 0.000 NA 0.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.1671 0.92261 0.924 0.000 NA 0.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.0771 0.93645 0.976 0.000 NA 0.004 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.1471 0.93522 0.952 0.000 NA 0.020 0.004
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.5251 0.68102 0.000 0.736 NA 0.056 0.068
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0865 0.93584 0.972 0.000 NA 0.004 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0880 0.93908 0.968 0.000 NA 0.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.1116 0.93793 0.964 0.000 NA 0.004 0.004
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0955 0.93999 0.968 0.000 NA 0.004 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.7246 0.36209 0.580 0.016 NA 0.204 0.108
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0865 0.93808 0.972 0.000 NA 0.004 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.1341 0.93083 0.944 0.000 NA 0.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.2131 0.92654 0.920 0.008 NA 0.016 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.7246 0.36209 0.580 0.016 NA 0.204 0.108
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.2054 0.92316 0.916 0.000 NA 0.008 0.004
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.1041 0.93870 0.964 0.000 NA 0.004 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0609 0.93914 0.980 0.000 NA 0.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.5903 0.65524 0.000 0.664 NA 0.060 0.068
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.1671 0.92261 0.924 0.000 NA 0.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 5 0.7643 0.22508 0.140 0.000 NA 0.276 0.472
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0703 0.93555 0.976 0.000 NA 0.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0865 0.93993 0.972 0.000 NA 0.004 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0703 0.93740 0.976 0.000 NA 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.6481 0.56153 0.000 0.588 NA 0.080 0.064
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.3426 0.88980 0.856 0.000 NA 0.032 0.028
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 1 0.2362 0.91872 0.900 0.000 NA 0.024 0.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.3169 0.89708 0.868 0.000 NA 0.024 0.024
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 5 0.8882 0.15355 0.060 0.280 NA 0.108 0.388
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.0932 0.93868 0.972 0.000 NA 0.004 0.004
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.8115 -0.38010 0.380 0.000 NA 0.312 0.140
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.2756 0.90006 0.880 0.000 NA 0.012 0.012
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0865 0.93583 0.972 0.000 NA 0.000 0.004
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 5 0.2017 0.27518 0.000 0.000 NA 0.080 0.912
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.1732 0.92324 0.920 0.000 NA 0.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.2463 0.42635 0.004 0.000 NA 0.888 0.100
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.4061 0.83981 0.824 0.000 NA 0.064 0.040
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.0955 0.93988 0.968 0.000 NA 0.004 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.2233 0.91778 0.904 0.000 NA 0.016 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.3664 0.87431 0.848 0.000 NA 0.056 0.036
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.1671 0.92261 0.924 0.000 NA 0.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0963 0.93882 0.964 0.000 NA 0.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.2720 0.90280 0.880 0.000 NA 0.020 0.004
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.0807 0.93861 0.976 0.000 NA 0.012 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.1211 0.93715 0.960 0.000 NA 0.016 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.2069 0.92078 0.912 0.000 NA 0.012 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.1341 0.93083 0.944 0.000 NA 0.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.2990 0.89170 0.876 0.000 NA 0.032 0.012
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0703 0.93555 0.976 0.000 NA 0.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.2011 0.75525 0.000 0.908 NA 0.004 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.4251 0.66303 0.000 0.624 NA 0.004 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.0807 0.93861 0.976 0.000 NA 0.012 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.1956 0.92162 0.916 0.000 NA 0.008 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0609 0.93607 0.980 0.000 NA 0.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.1651 0.93575 0.944 0.000 NA 0.008 0.012
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 5 0.7859 -0.08247 0.056 0.000 0.084 0.176 0.360 0.324
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.1814 0.88016 0.900 0.000 0.000 0.000 0.000 0.100
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.2941 0.83850 0.780 0.000 0.000 0.000 0.000 0.220
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.2378 0.86093 0.848 0.000 0.000 0.000 0.000 0.152
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.1814 0.88194 0.900 0.000 0.000 0.000 0.000 0.100
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.1152 0.86778 0.952 0.000 0.004 0.000 0.000 0.044
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.4403 0.76111 0.684 0.016 0.032 0.000 0.000 0.268
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.5409 0.48431 0.000 0.692 0.172 0.028 0.040 0.068
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.2196 0.84087 0.884 0.000 0.004 0.004 0.000 0.108
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.3683 0.81528 0.760 0.000 0.020 0.004 0.004 0.212
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.1152 0.87513 0.952 0.000 0.004 0.000 0.000 0.044
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.4251 0.76094 0.708 0.000 0.040 0.004 0.004 0.244
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.2491 0.86745 0.836 0.000 0.000 0.000 0.000 0.164
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 5 0.1333 0.27142 0.000 0.008 0.000 0.048 0.944 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.3081 0.82551 0.776 0.000 0.000 0.000 0.004 0.220
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.2491 0.86247 0.836 0.000 0.000 0.000 0.000 0.164
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.1556 0.88039 0.920 0.000 0.000 0.000 0.000 0.080
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.1956 0.88462 0.908 0.000 0.008 0.000 0.004 0.080
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.1152 0.86927 0.952 0.000 0.004 0.000 0.000 0.044
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0865 0.87911 0.964 0.000 0.000 0.000 0.000 0.036
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.2191 0.61782 0.000 0.876 0.120 0.004 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.1556 0.88088 0.920 0.000 0.000 0.000 0.000 0.080
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.1471 0.88180 0.932 0.000 0.004 0.000 0.000 0.064
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.2941 0.82701 0.780 0.000 0.000 0.000 0.000 0.220
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.1957 0.87510 0.888 0.000 0.000 0.000 0.000 0.112
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0632 0.87601 0.976 0.000 0.000 0.000 0.000 0.024
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.3221 0.80868 0.736 0.000 0.000 0.000 0.000 0.264
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0937 0.87984 0.960 0.000 0.000 0.000 0.000 0.040
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.3519 0.47048 0.000 0.752 0.232 0.008 0.000 0.008
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 5 0.8654 -0.41022 0.028 0.256 0.204 0.084 0.348 0.080
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.1082 0.86918 0.956 0.000 0.004 0.000 0.000 0.040
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.1699 0.86637 0.928 0.000 0.004 0.004 0.004 0.060
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.2697 0.85168 0.812 0.000 0.000 0.000 0.000 0.188
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.1285 0.87974 0.944 0.000 0.004 0.000 0.000 0.052
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#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 4 0.7015 0.22928 0.000 0.000 0.136 0.480 0.184 0.200
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.2070 0.63549 0.000 0.892 0.100 0.000 0.000 0.008
#> 4588817E-1068-4A78-86B6-4674A0112DDA 1 0.1588 0.86780 0.924 0.000 0.004 0.000 0.000 0.072
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 2 0.2848 0.62176 0.000 0.816 0.176 0.000 0.000 0.008
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.1444 0.88089 0.928 0.000 0.000 0.000 0.000 0.072
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.2562 0.85617 0.828 0.000 0.000 0.000 0.000 0.172
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.7275 0.20454 0.120 0.584 0.128 0.064 0.028 0.076
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.2793 0.84170 0.800 0.000 0.000 0.000 0.000 0.200
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 1 0.0790 0.87575 0.968 0.000 0.000 0.000 0.000 0.032
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 4 0.8485 -0.04899 0.000 0.120 0.216 0.364 0.132 0.168
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.2783 0.61458 0.000 0.836 0.148 0.000 0.000 0.016
#> B3F746DC-E487-4305-9F30-825D1520E8FD 4 0.2644 0.33727 0.000 0.000 0.008 0.880 0.060 0.052
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.5631 0.57477 0.584 0.000 0.024 0.072 0.012 0.308
#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.0713 0.88146 0.972 0.000 0.000 0.000 0.000 0.028
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.1152 0.86778 0.952 0.000 0.004 0.000 0.000 0.044
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.2135 0.87109 0.872 0.000 0.000 0.000 0.000 0.128
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.1471 0.88229 0.932 0.000 0.004 0.000 0.000 0.064
#> 25A5BC09-0D88-4385-87AF-997F9018522D 5 0.7736 -0.54375 0.000 0.180 0.316 0.104 0.368 0.032
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.1285 0.87424 0.944 0.000 0.004 0.000 0.000 0.052
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.4308 0.77800 0.752 0.000 0.024 0.020 0.020 0.184
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.1531 0.86469 0.928 0.000 0.004 0.000 0.000 0.068
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.1082 0.87403 0.956 0.000 0.004 0.000 0.000 0.040
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 5 0.6336 0.14244 0.228 0.000 0.052 0.008 0.564 0.148
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.0865 0.87900 0.964 0.000 0.000 0.000 0.000 0.036
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.1411 0.88140 0.936 0.000 0.004 0.000 0.000 0.060
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.3283 0.84225 0.804 0.000 0.036 0.000 0.000 0.160
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.0713 0.87295 0.972 0.000 0.000 0.000 0.000 0.028
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.2053 0.88192 0.888 0.000 0.004 0.000 0.000 0.108
#> 9EEECA0E-530D-4724-B016-A716F0782148 1 0.3915 0.75547 0.680 0.000 0.000 0.008 0.008 0.304
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.0865 0.87940 0.964 0.000 0.000 0.000 0.000 0.036
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.2520 0.63086 0.000 0.844 0.152 0.000 0.000 0.004
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 4 0.2288 0.33008 0.004 0.000 0.004 0.904 0.048 0.040
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.3601 0.75958 0.684 0.000 0.000 0.000 0.004 0.312
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.2454 0.86033 0.840 0.000 0.000 0.000 0.000 0.160
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.1152 0.87538 0.952 0.000 0.004 0.000 0.000 0.044
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.1152 0.87050 0.952 0.000 0.004 0.000 0.000 0.044
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.2738 0.85975 0.820 0.000 0.000 0.000 0.004 0.176
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 1 0.5682 0.62028 0.600 0.068 0.064 0.000 0.000 0.268
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.3647 0.81782 0.748 0.000 0.012 0.004 0.004 0.232
#> DD51C17C-300F-44A4-955A-C9BC85417842 1 0.2823 0.84517 0.796 0.000 0.000 0.000 0.000 0.204
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.1444 0.88503 0.928 0.000 0.000 0.000 0.000 0.072
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.1411 0.86661 0.936 0.000 0.004 0.000 0.000 0.060
#> B2088466-FA5D-491C-9982-99B33683E66F 5 0.6168 0.25225 0.144 0.004 0.040 0.040 0.644 0.128
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 1 0.1714 0.87706 0.908 0.000 0.000 0.000 0.000 0.092
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.5014 0.44264 0.000 0.564 0.368 0.008 0.000 0.060
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0937 0.64048 0.000 0.960 0.040 0.000 0.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.6605 -0.27505 0.000 0.472 0.304 0.024 0.184 0.016
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.0865 0.87900 0.964 0.000 0.000 0.000 0.000 0.036
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 1 0.2823 0.84460 0.796 0.000 0.000 0.000 0.000 0.204
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.1411 0.87099 0.936 0.000 0.004 0.000 0.000 0.060
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.1082 0.86918 0.956 0.000 0.004 0.000 0.000 0.040
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.1082 0.87225 0.956 0.000 0.004 0.000 0.000 0.040
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.2048 0.87416 0.880 0.000 0.000 0.000 0.000 0.120
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.3244 0.80573 0.732 0.000 0.000 0.000 0.000 0.268
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.2068 0.86983 0.904 0.000 0.008 0.000 0.008 0.080
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.1644 0.87417 0.920 0.000 0.004 0.000 0.000 0.076
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.4963 0.44548 0.000 0.568 0.368 0.008 0.000 0.056
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.3840 0.78891 0.716 0.000 0.004 0.004 0.012 0.264
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.2823 0.84517 0.796 0.000 0.000 0.000 0.000 0.204
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.1610 0.88322 0.916 0.000 0.000 0.000 0.000 0.084
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 4 0.5286 0.27784 0.000 0.000 0.100 0.696 0.092 0.112
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 3 0.7300 0.41396 0.000 0.240 0.360 0.052 0.328 0.020
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.1531 0.87605 0.928 0.000 0.004 0.000 0.000 0.068
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 5 0.6746 0.07817 0.000 0.008 0.108 0.196 0.544 0.144
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.7285 0.20696 0.116 0.584 0.128 0.064 0.028 0.080
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0937 0.87984 0.960 0.000 0.000 0.000 0.000 0.040
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.1444 0.88092 0.928 0.000 0.000 0.000 0.000 0.072
#> CE539000-92D7-4622-9C8D-BC6E01310681 1 0.8373 -0.24436 0.380 0.280 0.156 0.056 0.024 0.104
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.2218 0.63648 0.000 0.884 0.104 0.000 0.000 0.012
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.2883 0.84347 0.788 0.000 0.000 0.000 0.000 0.212
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.1082 0.86918 0.956 0.000 0.004 0.000 0.000 0.040
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.1152 0.86778 0.952 0.000 0.004 0.000 0.000 0.044
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 5 0.6913 0.01490 0.260 0.016 0.020 0.052 0.532 0.120
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.4559 0.66957 0.752 0.000 0.004 0.036 0.072 0.136
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 5 0.6746 0.07817 0.000 0.008 0.108 0.196 0.544 0.144
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0632 0.87698 0.976 0.000 0.000 0.000 0.000 0.024
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.1152 0.86778 0.952 0.000 0.004 0.000 0.000 0.044
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.2883 0.82886 0.788 0.000 0.000 0.000 0.000 0.212
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.1075 0.87950 0.952 0.000 0.000 0.000 0.000 0.048
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.1806 0.87890 0.908 0.000 0.004 0.000 0.000 0.088
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.4801 0.50564 0.000 0.752 0.124 0.024 0.040 0.060
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.1082 0.86906 0.956 0.000 0.004 0.000 0.000 0.040
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0865 0.88144 0.964 0.000 0.000 0.000 0.000 0.036
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.1219 0.87348 0.948 0.000 0.004 0.000 0.000 0.048
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.1141 0.88253 0.948 0.000 0.000 0.000 0.000 0.052
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.7306 -0.02609 0.412 0.016 0.048 0.104 0.040 0.380
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.1910 0.87906 0.892 0.000 0.000 0.000 0.000 0.108
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.2491 0.86382 0.836 0.000 0.000 0.000 0.000 0.164
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.3248 0.83195 0.768 0.004 0.004 0.000 0.000 0.224
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.7306 -0.02609 0.412 0.016 0.048 0.104 0.040 0.380
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.2883 0.83558 0.788 0.000 0.000 0.000 0.000 0.212
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.1957 0.87911 0.888 0.000 0.000 0.000 0.000 0.112
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0632 0.88077 0.976 0.000 0.000 0.000 0.000 0.024
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.5491 0.47845 0.000 0.684 0.176 0.028 0.040 0.072
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.2941 0.82893 0.780 0.000 0.000 0.000 0.000 0.220
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 5 0.7859 -0.08247 0.056 0.000 0.084 0.176 0.360 0.324
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.1152 0.87343 0.952 0.000 0.004 0.000 0.000 0.044
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.1714 0.88269 0.908 0.000 0.000 0.000 0.000 0.092
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.1082 0.87769 0.956 0.000 0.004 0.000 0.000 0.040
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.5950 -0.18532 0.000 0.528 0.356 0.068 0.028 0.020
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.3915 0.75547 0.680 0.000 0.000 0.008 0.008 0.304
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 1 0.3699 0.80613 0.728 0.000 0.008 0.004 0.004 0.256
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.3601 0.75958 0.684 0.000 0.000 0.000 0.004 0.312
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 5 0.8761 -0.39976 0.036 0.256 0.204 0.084 0.340 0.080
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.1524 0.87930 0.932 0.000 0.008 0.000 0.000 0.060
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 6 0.8055 0.02237 0.304 0.000 0.128 0.188 0.044 0.336
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.3711 0.81745 0.756 0.000 0.020 0.004 0.004 0.216
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.1152 0.86830 0.952 0.000 0.004 0.000 0.000 0.044
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 5 0.1599 0.27234 0.000 0.000 0.008 0.028 0.940 0.024
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.3073 0.84006 0.788 0.000 0.008 0.000 0.000 0.204
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.2288 0.33008 0.004 0.000 0.004 0.904 0.048 0.040
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.4694 0.73287 0.684 0.000 0.028 0.016 0.016 0.256
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.1327 0.88357 0.936 0.000 0.000 0.000 0.000 0.064
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.3198 0.81076 0.740 0.000 0.000 0.000 0.000 0.260
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.4352 0.75136 0.684 0.000 0.004 0.012 0.024 0.276
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.2883 0.82886 0.788 0.000 0.000 0.000 0.000 0.212
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.1588 0.88401 0.924 0.000 0.004 0.000 0.000 0.072
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.3380 0.81411 0.748 0.000 0.004 0.000 0.004 0.244
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.1957 0.87510 0.888 0.000 0.000 0.000 0.000 0.112
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.1644 0.87009 0.920 0.000 0.004 0.000 0.000 0.076
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.3023 0.82376 0.768 0.000 0.000 0.000 0.000 0.232
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.2491 0.86449 0.836 0.000 0.000 0.000 0.000 0.164
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.4016 0.80978 0.752 0.000 0.036 0.016 0.000 0.196
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.1152 0.86778 0.952 0.000 0.004 0.000 0.000 0.044
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.2504 0.58744 0.000 0.856 0.136 0.004 0.000 0.004
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.4963 0.44548 0.000 0.568 0.368 0.008 0.000 0.056
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.1957 0.87510 0.888 0.000 0.000 0.000 0.000 0.112
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.2996 0.82490 0.772 0.000 0.000 0.000 0.000 0.228
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0713 0.87453 0.972 0.000 0.000 0.000 0.000 0.028
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.2982 0.86945 0.828 0.000 0.008 0.000 0.012 0.152
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 17469 rows and 309 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 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 0.986 0.957 0.982 0.3812 0.612 0.612
#> 3 3 0.453 0.477 0.768 0.5390 0.845 0.749
#> 4 4 0.508 0.547 0.731 0.1683 0.795 0.595
#> 5 5 0.607 0.667 0.801 0.1022 0.821 0.519
#> 6 6 0.617 0.513 0.720 0.0569 0.894 0.603
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.8443 0.66185 0.272 0.728
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.0000 0.99250 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.0000 0.99250 1.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.99250 1.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.99250 1.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.99250 1.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.0000 0.99250 1.000 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.95145 0.000 1.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.0000 0.99250 1.000 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.99250 1.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.99250 1.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.99250 1.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.0000 0.99250 1.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.95145 0.000 1.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.0000 0.99250 1.000 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.0000 0.99250 1.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.0000 0.99250 1.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.99250 1.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.99250 1.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0000 0.99250 1.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.95145 0.000 1.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.99250 1.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.99250 1.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.99250 1.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.0000 0.99250 1.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0000 0.99250 1.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.0000 0.99250 1.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0000 0.99250 1.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.95145 0.000 1.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.95145 0.000 1.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.99250 1.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.99250 1.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.99250 1.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.99250 1.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.95145 0.000 1.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.0000 0.99250 1.000 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.0000 0.99250 1.000 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.95145 0.000 1.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.99250 1.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.99250 1.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.95145 0.000 1.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.0000 0.99250 1.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.0000 0.99250 1.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.99250 1.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.0000 0.99250 1.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0000 0.99250 1.000 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.99250 1.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.95145 0.000 1.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.0000 0.99250 1.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.95145 0.000 1.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.99250 1.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0000 0.95145 0.000 1.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.0000 0.99250 1.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.0000 0.99250 1.000 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0000 0.99250 1.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.0000 0.99250 1.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 1 0.0000 0.99250 1.000 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.0000 0.99250 1.000 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.95145 0.000 1.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.99250 1.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.99250 1.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 2 0.7602 0.74240 0.220 0.780
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.0000 0.99250 1.000 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.99250 1.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.95145 0.000 1.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 1 0.0000 0.99250 1.000 0.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.99250 1.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.0000 0.99250 1.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 1 0.0000 0.99250 1.000 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.95145 0.000 1.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0000 0.99250 1.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0000 0.99250 1.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.0000 0.99250 1.000 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0000 0.99250 1.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.0000 0.99250 1.000 0.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.99250 1.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0000 0.99250 1.000 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.95145 0.000 1.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 1 0.0000 0.99250 1.000 0.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.0000 0.95145 0.000 1.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0000 0.99250 1.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 1 0.0000 0.99250 1.000 0.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0000 0.99250 1.000 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.99250 1.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.99250 1.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.0000 0.99250 1.000 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.0000 0.99250 1.000 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.95145 0.000 1.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0000 0.95145 0.000 1.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 1 0.0000 0.99250 1.000 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0000 0.99250 1.000 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.0000 0.99250 1.000 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.95145 0.000 1.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.0000 0.99250 1.000 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0000 0.99250 1.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0000 0.99250 1.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.0000 0.99250 1.000 0.000
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.0376 0.98844 0.996 0.004
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.0000 0.99250 1.000 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 1 0.0000 0.99250 1.000 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 1 0.0000 0.99250 1.000 0.000
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.95145 0.000 1.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.95145 0.000 1.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.0000 0.99250 1.000 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.0000 0.99250 1.000 0.000
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.95145 0.000 1.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 1 1.0000 -0.08185 0.504 0.496
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 1 0.0000 0.99250 1.000 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.0000 0.99250 1.000 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 2 0.7453 0.75326 0.212 0.788
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.95145 0.000 1.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.0000 0.99250 1.000 0.000
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 1 0.0000 0.99250 1.000 0.000
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 1 0.0000 0.99250 1.000 0.000
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.0000 0.99250 1.000 0.000
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.0000 0.99250 1.000 0.000
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.0000 0.99250 1.000 0.000
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.0000 0.99250 1.000 0.000
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.0000 0.99250 1.000 0.000
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.0000 0.99250 1.000 0.000
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.0000 0.99250 1.000 0.000
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.0000 0.99250 1.000 0.000
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 1 0.0000 0.99250 1.000 0.000
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.0000 0.99250 1.000 0.000
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 1 0.9833 0.19357 0.576 0.424
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 2 0.7453 0.75326 0.212 0.788
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 1 0.4690 0.87665 0.900 0.100
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.0000 0.99250 1.000 0.000
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 1 0.0000 0.99250 1.000 0.000
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 1 0.0000 0.99250 1.000 0.000
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 1 0.0672 0.98435 0.992 0.008
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.0000 0.99250 1.000 0.000
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.0000 0.95145 0.000 1.000
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 1 0.0000 0.99250 1.000 0.000
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.0000 0.95145 0.000 1.000
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0000 0.95145 0.000 1.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.0000 0.99250 1.000 0.000
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0000 0.95145 0.000 1.000
#> 9492A322-37CA-4582-AC68-66B5D80778AF 2 0.0000 0.95145 0.000 1.000
#> 993399A4-1B9F-4258-B2D0-155AD58A2E82 1 0.0000 0.99250 1.000 0.000
#> 7B7DC93D-5494-4E69-BE07-2967887182F9 1 0.0000 0.99250 1.000 0.000
#> 29BCBA51-2580-473D-9CF7-BEDBD0DBAD1B 2 0.0000 0.95145 0.000 1.000
#> 40855647-E942-4F32-90B7-BEB921929BFB 1 0.0000 0.99250 1.000 0.000
#> 0DC723D0-7C68-4495-A4B9-2DF2FF19AB14 2 0.7219 0.76850 0.200 0.800
#> 7540005F-57E0-4E2E-A8A2-BEF2B0F333B1 2 0.0000 0.95145 0.000 1.000
#> EB1DDB14-4076-4C2C-B911-390C17C21486 1 0.0000 0.99250 1.000 0.000
#> 9EA70EC4-8BA0-4E3D-B3CB-A68D19E89868 1 0.0000 0.99250 1.000 0.000
#> B04E2E50-0A6E-4224-A825-1714D12E5669 2 0.0000 0.95145 0.000 1.000
#> B0BF5E01-536D-40FF-9C24-CBBD611E2FC2 1 0.0000 0.99250 1.000 0.000
#> 7B6B1788-B297-4442-B6BE-B7CE8754491E 1 0.0000 0.99250 1.000 0.000
#> A090D00C-34DF-4906-A517-4803C4C9A332 1 0.0000 0.99250 1.000 0.000
#> 340D44A6-9BEA-412C-9973-D9ABD6692255 1 0.0000 0.99250 1.000 0.000
#> E8D0D1E7-E5A8-4014-80C1-0245F90F4358 2 0.0000 0.95145 0.000 1.000
#> 19EA1494-8572-40E1-B9BB-3739F47B607D 1 0.0000 0.99250 1.000 0.000
#> 1C1B4793-8DAF-4763-BA4D-C4E869A4ED35 2 0.9909 0.27355 0.444 0.556
#> 45BF59B3-95BD-4196-ABAA-4C4F0DB38572 2 0.9866 0.31004 0.432 0.568
#> 47B5A2A7-7E13-4558-99D2-067F5075C6A4 1 0.0000 0.99250 1.000 0.000
#> E94638E8-CB51-4FBB-8BCB-4BFD7A812291 1 0.0000 0.99250 1.000 0.000
#> A17352A8-0D3C-4545-8136-7DAE2FB0E102 2 0.9710 0.39604 0.400 0.600
#> B18A6F95-D4ED-416B-B5A1-9A4934865D0D 2 0.0000 0.95145 0.000 1.000
#> 33E92C5F-0C42-4549-AD5B-0A064182A272 1 0.0000 0.99250 1.000 0.000
#> E041B375-3E60-4F18-A6EF-D1C249E3B8EE 1 0.0000 0.99250 1.000 0.000
#> EDF90AF6-6C64-4BD2-AADF-8D7D188650B2 2 0.0000 0.95145 0.000 1.000
#> 569320D2-316C-4E2D-B7B3-D7D5C4DAD42D 1 0.0000 0.99250 1.000 0.000
#> AFFB223D-DAE9-4567-9EF2-8E4DF9D8782D 2 0.0000 0.95145 0.000 1.000
#> 56FC9454-0A6A-4CC3-95C4-BE0E0D0BAFCE 2 0.0000 0.95145 0.000 1.000
#> 43226365-FAEF-46C5-AF1B-5C6C2BED84FF 1 0.0000 0.99250 1.000 0.000
#> 1536110A-B42A-4A84-9474-9895321FDCE9 2 0.0000 0.95145 0.000 1.000
#> 812255DD-536B-4216-90B1-27D5AB339BE2 1 0.0000 0.99250 1.000 0.000
#> 5D4563D6-68B7-4C9D-A3F4-AA7D45D5112C 2 0.0000 0.95145 0.000 1.000
#> BAA39781-DB94-473C-98B1-FA6CD3E1C67A 1 0.0000 0.99250 1.000 0.000
#> C1411CDA-814D-4E21-8929-C0F77858828F 1 0.0000 0.99250 1.000 0.000
#> EFE2F248-C13E-4E8D-9153-8C903848AC4A 1 0.4022 0.90239 0.920 0.080
#> D3939C84-D1D6-4060-9F91-AEB222A9BDD5 1 0.0000 0.99250 1.000 0.000
#> EABD2987-8C1E-49E5-94AF-C0BDE5335A48 1 0.0000 0.99250 1.000 0.000
#> F4BE2ABE-2CEB-4A6A-B8EC-0355F8C63B9B 1 0.0000 0.99250 1.000 0.000
#> 627BC251-D217-4955-B718-6B9D6DEA1756 1 0.0000 0.99250 1.000 0.000
#> 31B54613-A20E-4039-BB8B-9B52104CE418 1 0.0000 0.99250 1.000 0.000
#> 3F292B7C-A535-4DBD-BC20-CB4F85A1C94B 1 0.0000 0.99250 1.000 0.000
#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 2 0.0000 0.95145 0.000 1.000
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.0000 0.95145 0.000 1.000
#> 4588817E-1068-4A78-86B6-4674A0112DDA 1 0.0000 0.99250 1.000 0.000
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 2 0.0000 0.95145 0.000 1.000
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.0000 0.99250 1.000 0.000
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.0000 0.99250 1.000 0.000
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.0000 0.95145 0.000 1.000
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.0000 0.99250 1.000 0.000
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 1 0.0000 0.99250 1.000 0.000
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.0000 0.95145 0.000 1.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.0000 0.95145 0.000 1.000
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.0000 0.95145 0.000 1.000
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.0000 0.99250 1.000 0.000
#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.0000 0.99250 1.000 0.000
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.0000 0.99250 1.000 0.000
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.0000 0.99250 1.000 0.000
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.0000 0.99250 1.000 0.000
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0000 0.95145 0.000 1.000
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.0000 0.99250 1.000 0.000
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.0000 0.99250 1.000 0.000
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.0000 0.99250 1.000 0.000
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.0000 0.99250 1.000 0.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 1 0.0000 0.99250 1.000 0.000
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.0000 0.99250 1.000 0.000
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0000 0.99250 1.000 0.000
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.0000 0.99250 1.000 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.0000 0.99250 1.000 0.000
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0000 0.99250 1.000 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 1 0.0000 0.99250 1.000 0.000
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.0000 0.99250 1.000 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0000 0.95145 0.000 1.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.7056 0.77800 0.192 0.808
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.0000 0.99250 1.000 0.000
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.0000 0.99250 1.000 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0000 0.99250 1.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.0000 0.99250 1.000 0.000
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0000 0.99250 1.000 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.0000 0.95145 0.000 1.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.0000 0.99250 1.000 0.000
#> DD51C17C-300F-44A4-955A-C9BC85417842 1 0.0000 0.99250 1.000 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0000 0.99250 1.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.0000 0.99250 1.000 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.0000 0.95145 0.000 1.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 1 0.0000 0.99250 1.000 0.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.95145 0.000 1.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.95145 0.000 1.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.95145 0.000 1.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.0000 0.99250 1.000 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 1 0.0000 0.99250 1.000 0.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.0000 0.99250 1.000 0.000
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0000 0.99250 1.000 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0000 0.99250 1.000 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.0000 0.99250 1.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.0000 0.99250 1.000 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.0000 0.99250 1.000 0.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0000 0.99250 1.000 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.95145 0.000 1.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.0000 0.99250 1.000 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.0000 0.99250 1.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.0000 0.99250 1.000 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.95145 0.000 1.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.95145 0.000 1.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.99250 1.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.95145 0.000 1.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.95145 0.000 1.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0000 0.99250 1.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0000 0.99250 1.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.95145 0.000 1.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.95145 0.000 1.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.0000 0.99250 1.000 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.99250 1.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0000 0.99250 1.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.95145 0.000 1.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0000 0.99250 1.000 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.95145 0.000 1.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.99250 1.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.99250 1.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.99250 1.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.0000 0.99250 1.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.99250 1.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.95145 0.000 1.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.99250 1.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.99250 1.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0000 0.99250 1.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0000 0.99250 1.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.9993 -0.00224 0.516 0.484
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.99250 1.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0000 0.99250 1.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.0000 0.99250 1.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 2 0.9954 0.19468 0.460 0.540
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0000 0.99250 1.000 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.0000 0.99250 1.000 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.99250 1.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.95145 0.000 1.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.99250 1.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.7602 0.74240 0.220 0.780
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.99250 1.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.99250 1.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.99250 1.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.95145 0.000 1.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.0000 0.99250 1.000 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 1 0.0000 0.99250 1.000 0.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.0000 0.99250 1.000 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.6148 0.82113 0.152 0.848
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.0000 0.99250 1.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.0672 0.98435 0.992 0.008
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.99250 1.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.99250 1.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.95145 0.000 1.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.99250 1.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.7219 0.76850 0.200 0.800
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.99250 1.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.0000 0.99250 1.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.0000 0.99250 1.000 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.7139 0.77344 0.196 0.804
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.99250 1.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.99250 1.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.0000 0.99250 1.000 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.0000 0.99250 1.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.0000 0.99250 1.000 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.0000 0.99250 1.000 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.99250 1.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.99250 1.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.99250 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.95145 0.000 1.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.95145 0.000 1.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.0000 0.99250 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.99250 1.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.99250 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.99250 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.6234 0.38170 0.096 0.128 0.776
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.5988 0.35802 0.632 0.000 0.368
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.6079 0.34091 0.612 0.000 0.388
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.5178 0.37276 0.744 0.000 0.256
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.61840 1.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0424 0.61589 0.992 0.000 0.008
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.5988 0.17247 0.368 0.000 0.632
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.88998 0.000 1.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.1643 0.60372 0.956 0.000 0.044
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.6062 0.16279 0.616 0.000 0.384
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.1411 0.59980 0.964 0.000 0.036
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.6244 0.00773 0.560 0.000 0.440
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.6140 0.32198 0.596 0.000 0.404
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.5178 0.83653 0.000 0.744 0.256
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.6244 0.08566 0.440 0.000 0.560
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.6026 0.34988 0.624 0.000 0.376
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.5926 0.37274 0.644 0.000 0.356
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.5988 0.19520 0.632 0.000 0.368
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0237 0.61730 0.996 0.000 0.004
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.5882 0.38050 0.652 0.000 0.348
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.88998 0.000 1.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0237 0.61818 0.996 0.000 0.004
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.5178 0.37276 0.744 0.000 0.256
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.5968 0.20116 0.636 0.000 0.364
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.5988 0.35802 0.632 0.000 0.368
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.1529 0.60787 0.960 0.000 0.040
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.5988 0.17247 0.368 0.000 0.632
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.5882 0.38151 0.652 0.000 0.348
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.88998 0.000 1.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.3116 0.88156 0.000 0.892 0.108
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0424 0.61589 0.992 0.000 0.008
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.3267 0.52336 0.884 0.000 0.116
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.5254 0.36141 0.736 0.000 0.264
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#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.5926 0.37274 0.644 0.000 0.356
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0000 0.88998 0.000 1.000 0.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.6309 0.53087 0.000 0.500 0.500
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 3 0.6307 0.05762 0.488 0.000 0.512
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.6079 0.20136 0.612 0.000 0.388
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.1031 0.61559 0.976 0.000 0.024
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.0237 0.61725 0.996 0.000 0.004
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0237 0.61725 0.996 0.000 0.004
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.2356 0.84041 0.000 0.928 0.072
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 3 0.6286 0.11037 0.464 0.000 0.536
#> DD51C17C-300F-44A4-955A-C9BC85417842 1 0.6305 0.18790 0.516 0.000 0.484
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0000 0.61840 1.000 0.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.3267 0.52336 0.884 0.000 0.116
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.5678 0.78752 0.000 0.684 0.316
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 1 0.5988 0.35802 0.632 0.000 0.368
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.88998 0.000 1.000 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.88998 0.000 1.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.2448 0.88587 0.000 0.924 0.076
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.5926 0.37274 0.644 0.000 0.356
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 1 0.6045 0.34640 0.620 0.000 0.380
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.1031 0.60715 0.976 0.000 0.024
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0000 0.61840 1.000 0.000 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0000 0.61840 1.000 0.000 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.6299 0.20460 0.524 0.000 0.476
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.5988 0.17247 0.368 0.000 0.632
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.0237 0.61725 0.996 0.000 0.004
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0000 0.61840 1.000 0.000 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.88998 0.000 1.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.5397 0.35525 0.720 0.000 0.280
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.6305 0.18790 0.516 0.000 0.484
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.4062 0.53623 0.836 0.000 0.164
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.5216 0.83392 0.000 0.740 0.260
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.3038 0.88226 0.000 0.896 0.104
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.61840 1.000 0.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.4346 0.86432 0.000 0.816 0.184
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.2356 0.88623 0.000 0.928 0.072
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.5905 0.37759 0.648 0.000 0.352
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.4750 0.50098 0.784 0.000 0.216
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.3551 0.87729 0.000 0.868 0.132
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.88998 0.000 1.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.6026 0.34988 0.624 0.000 0.376
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.61840 1.000 0.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.4504 0.50066 0.804 0.000 0.196
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.5178 0.83653 0.000 0.744 0.256
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.3816 0.54850 0.852 0.000 0.148
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.4346 0.86432 0.000 0.816 0.184
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.61840 1.000 0.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.61840 1.000 0.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.5882 0.26996 0.652 0.000 0.348
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.5882 0.38151 0.652 0.000 0.348
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.6280 0.03923 0.540 0.000 0.460
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.88998 0.000 1.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.4555 0.49710 0.800 0.000 0.200
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.61840 1.000 0.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.2878 0.57583 0.904 0.000 0.096
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.5905 0.37759 0.648 0.000 0.352
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 3 0.8199 0.36342 0.200 0.160 0.640
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.61840 1.000 0.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.5926 0.34798 0.644 0.000 0.356
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.5621 0.42554 0.692 0.000 0.308
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 3 0.8231 0.37045 0.208 0.156 0.636
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.6204 0.17196 0.576 0.000 0.424
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.5835 0.39252 0.660 0.000 0.340
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.2261 0.60084 0.932 0.000 0.068
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.88998 0.000 1.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.5948 0.21319 0.640 0.000 0.360
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 3 0.6858 0.27975 0.084 0.188 0.728
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.61840 1.000 0.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.4178 0.54149 0.828 0.000 0.172
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.61840 1.000 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.88998 0.000 1.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.5785 0.37023 0.332 0.000 0.668
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.5988 0.17247 0.368 0.000 0.632
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.5810 0.36637 0.336 0.000 0.664
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.5760 0.81741 0.064 0.796 0.140
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.5760 0.40081 0.672 0.000 0.328
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.4750 0.42113 0.216 0.000 0.784
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.5859 0.23431 0.656 0.000 0.344
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.61840 1.000 0.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.5178 0.83653 0.000 0.744 0.256
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.5397 0.33950 0.720 0.000 0.280
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 3 0.5529 -0.03565 0.000 0.296 0.704
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.6111 0.14925 0.604 0.000 0.396
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.5560 0.42414 0.700 0.000 0.300
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.4178 0.39115 0.172 0.000 0.828
#> C98275CD-C39A-4E14-A731-4F3EB7396665 3 0.5506 0.18493 0.016 0.220 0.764
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.6095 0.16436 0.608 0.000 0.392
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.61840 1.000 0.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.6267 0.05056 0.548 0.000 0.452
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.6309 -0.16345 0.496 0.000 0.504
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.5926 0.37083 0.644 0.000 0.356
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.6305 -0.02076 0.516 0.000 0.484
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.5431 0.45850 0.716 0.000 0.284
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.6026 0.17688 0.624 0.000 0.376
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.61840 1.000 0.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.88998 0.000 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.88998 0.000 1.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.6204 0.03483 0.424 0.000 0.576
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.5859 0.27254 0.656 0.000 0.344
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.61840 1.000 0.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.5948 0.20981 0.640 0.000 0.360
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.1406 0.6172 0.016 0.000 0.024 0.960
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.4406 0.6598 0.300 0.000 0.700 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.3837 0.6729 0.224 0.000 0.776 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.6444 0.5242 0.612 0.000 0.284 0.104
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.1109 0.6600 0.968 0.000 0.028 0.004
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.1109 0.6505 0.968 0.000 0.004 0.028
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.1661 0.6004 0.052 0.000 0.944 0.004
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0336 0.8772 0.000 0.992 0.008 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.2197 0.6327 0.916 0.000 0.004 0.080
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.7661 0.4105 0.464 0.000 0.264 0.272
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.1151 0.6625 0.968 0.000 0.024 0.008
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.7726 0.4023 0.444 0.000 0.260 0.296
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.3975 0.6731 0.240 0.000 0.760 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.5233 0.5474 0.000 0.332 0.020 0.648
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.5620 0.3513 0.208 0.000 0.708 0.084
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.4454 0.6563 0.308 0.000 0.692 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.4699 0.6489 0.320 0.000 0.676 0.004
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.6814 0.5109 0.584 0.000 0.276 0.140
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0921 0.6527 0.972 0.000 0.000 0.028
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.4907 0.5599 0.420 0.000 0.580 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.8782 0.000 1.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0336 0.6563 0.992 0.000 0.008 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.6708 0.5226 0.592 0.000 0.280 0.128
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.6836 0.5074 0.580 0.000 0.280 0.140
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.4454 0.6563 0.308 0.000 0.692 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0524 0.6553 0.988 0.000 0.008 0.004
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.1890 0.6023 0.056 0.000 0.936 0.008
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.5292 -0.4177 0.512 0.000 0.480 0.008
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.8782 0.000 1.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.4797 0.5618 0.000 0.720 0.020 0.260
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.1151 0.6623 0.968 0.000 0.024 0.008
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.3763 0.6029 0.832 0.000 0.024 0.144
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.6522 0.5245 0.608 0.000 0.280 0.112
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.1256 0.6490 0.964 0.000 0.008 0.028
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.1677 0.8447 0.000 0.948 0.040 0.012
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.5279 0.4099 0.232 0.000 0.716 0.052
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.3542 0.5246 0.852 0.000 0.120 0.028
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.8782 0.000 1.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.3105 0.6284 0.856 0.000 0.140 0.004
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.1520 0.6547 0.956 0.000 0.024 0.020
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.4621 0.4497 0.000 0.708 0.008 0.284
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.4406 0.6598 0.300 0.000 0.700 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.5184 0.3340 0.024 0.000 0.672 0.304
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.7714 0.3892 0.448 0.000 0.260 0.292
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.5157 0.1366 0.688 0.000 0.284 0.028
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.3751 0.4128 0.800 0.000 0.196 0.004
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.1284 0.6619 0.964 0.000 0.024 0.012
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.8782 0.000 1.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.4431 0.6583 0.304 0.000 0.696 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.4761 0.5542 0.000 0.332 0.004 0.664
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.7497 0.4406 0.500 0.000 0.260 0.240
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 4 0.4897 0.5532 0.000 0.332 0.008 0.660
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.2675 0.6373 0.100 0.000 0.892 0.008
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.7554 -0.2338 0.376 0.000 0.432 0.192
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.6558 0.5121 0.596 0.000 0.296 0.108
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.1890 0.6023 0.056 0.000 0.936 0.008
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.3975 0.6731 0.240 0.000 0.760 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.5992 0.3823 0.516 0.000 0.040 0.444
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.4936 0.5259 0.000 0.700 0.020 0.280
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.6444 0.5242 0.612 0.000 0.284 0.104
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0524 0.6566 0.988 0.000 0.008 0.004
#> 09758B6F-1B2D-4AED-8913-696097069409 4 0.1471 0.6235 0.004 0.012 0.024 0.960
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.6025 0.4612 0.668 0.000 0.096 0.236
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.6473 0.5247 0.612 0.000 0.280 0.108
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.8782 0.000 1.000 0.000 0.000
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#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.1109 0.6505 0.968 0.000 0.004 0.028
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0336 0.6563 0.992 0.000 0.008 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.3649 0.6695 0.204 0.000 0.796 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.1890 0.6023 0.056 0.000 0.936 0.008
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.0707 0.6571 0.980 0.000 0.000 0.020
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0592 0.6559 0.984 0.000 0.000 0.016
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0336 0.8772 0.000 0.992 0.008 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.6587 0.5144 0.596 0.000 0.292 0.112
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.2345 0.6397 0.100 0.000 0.900 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.4008 0.4003 0.756 0.000 0.244 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 4 0.4053 0.6193 0.000 0.228 0.004 0.768
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.5173 0.4359 0.000 0.660 0.020 0.320
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.1733 0.6591 0.948 0.000 0.024 0.028
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 4 0.5364 0.4357 0.000 0.392 0.016 0.592
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.4004 0.7135 0.000 0.812 0.024 0.164
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.4543 0.6505 0.324 0.000 0.676 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.4431 0.2134 0.696 0.000 0.304 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.5010 0.5298 0.000 0.700 0.024 0.276
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0336 0.8772 0.000 0.992 0.008 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.4406 0.6598 0.300 0.000 0.700 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.1109 0.6505 0.968 0.000 0.004 0.028
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.4775 0.2868 0.740 0.000 0.232 0.028
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 4 0.5306 0.5245 0.000 0.348 0.020 0.632
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.3286 0.6030 0.876 0.000 0.044 0.080
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 4 0.5352 0.4442 0.000 0.388 0.016 0.596
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0524 0.6553 0.988 0.000 0.008 0.004
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.1109 0.6505 0.968 0.000 0.004 0.028
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.6991 0.4486 0.524 0.000 0.348 0.128
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.4961 0.5272 0.448 0.000 0.552 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.5624 0.5756 0.724 0.000 0.128 0.148
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0336 0.8772 0.000 0.992 0.008 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.5050 0.1894 0.704 0.000 0.268 0.028
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0707 0.6576 0.980 0.000 0.020 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.2670 0.5974 0.904 0.000 0.072 0.024
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.4624 0.6389 0.340 0.000 0.660 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 4 0.7615 0.2867 0.120 0.040 0.268 0.572
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.1256 0.6628 0.964 0.000 0.028 0.008
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.6549 0.2599 0.488 0.000 0.436 0.076
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.5339 0.5326 0.356 0.000 0.624 0.020
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 4 0.5088 0.5210 0.080 0.020 0.108 0.792
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 3 0.6785 -0.0807 0.420 0.000 0.484 0.096
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.5090 0.3779 0.324 0.000 0.660 0.016
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.2149 0.6158 0.912 0.000 0.088 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0336 0.8772 0.000 0.992 0.008 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.7031 0.4825 0.552 0.000 0.296 0.152
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 4 0.1739 0.6211 0.016 0.008 0.024 0.952
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.6586 1.000 0.000 0.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.5193 0.4198 0.656 0.000 0.324 0.020
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0921 0.6527 0.972 0.000 0.000 0.028
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.8782 0.000 1.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.7546 0.0573 0.188 0.000 0.412 0.400
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.1743 0.6038 0.056 0.000 0.940 0.004
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.7720 -0.0175 0.228 0.000 0.412 0.360
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.7880 0.2025 0.192 0.528 0.024 0.256
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.5383 -0.3521 0.536 0.000 0.452 0.012
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 4 0.4832 0.4946 0.176 0.000 0.056 0.768
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.6708 0.5179 0.592 0.000 0.280 0.128
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.1109 0.6505 0.968 0.000 0.004 0.028
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 4 0.5108 0.5733 0.000 0.308 0.020 0.672
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.6570 0.5203 0.604 0.000 0.280 0.116
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.2297 0.6333 0.004 0.044 0.024 0.928
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.7714 0.3966 0.448 0.000 0.260 0.292
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.5097 -0.2477 0.568 0.000 0.428 0.004
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.4669 0.4435 0.036 0.000 0.764 0.200
#> C98275CD-C39A-4E14-A731-4F3EB7396665 4 0.5344 0.3816 0.032 0.000 0.300 0.668
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.7329 0.4602 0.516 0.000 0.296 0.188
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0188 0.6580 0.996 0.000 0.004 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.7761 0.3870 0.436 0.000 0.280 0.284
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.3801 0.6719 0.220 0.000 0.780 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.4898 0.5636 0.416 0.000 0.584 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.7446 -0.2552 0.396 0.000 0.432 0.172
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.6000 0.2218 0.508 0.000 0.452 0.040
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.7494 0.4426 0.500 0.000 0.264 0.236
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.1256 0.6490 0.964 0.000 0.008 0.028
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.8782 0.000 1.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0336 0.8772 0.000 0.992 0.008 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.2345 0.6397 0.100 0.000 0.900 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.6993 0.4612 0.532 0.000 0.336 0.132
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.1042 0.6626 0.972 0.000 0.020 0.008
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.6083 0.5642 0.672 0.000 0.216 0.112
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.3656 0.77132 0.168 0.000 0.032 0.800 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.1608 0.85697 0.000 0.000 0.928 0.000 0.072
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.2067 0.84918 0.032 0.000 0.920 0.000 0.048
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.4475 0.65741 0.692 0.000 0.032 0.000 0.276
#> 78F79407-D49F-4FA2-B09F-0665C502827C 5 0.4452 0.60877 0.272 0.000 0.032 0.000 0.696
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.1282 0.73459 0.044 0.000 0.000 0.004 0.952
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.2172 0.81233 0.076 0.000 0.908 0.000 0.016
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0162 0.87995 0.000 0.996 0.004 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.3963 0.67220 0.256 0.000 0.004 0.008 0.732
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.2818 0.72488 0.860 0.000 0.004 0.008 0.128
#> B710293C-41D3-4A2E-8104-5402F91DD859 5 0.3734 0.66714 0.240 0.000 0.004 0.004 0.752
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.4265 0.64222 0.712 0.000 0.012 0.008 0.268
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.1331 0.85767 0.008 0.000 0.952 0.000 0.040
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.1808 0.86388 0.040 0.020 0.004 0.936 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.4980 0.61431 0.676 0.000 0.252 0.000 0.072
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.1671 0.85617 0.000 0.000 0.924 0.000 0.076
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.1671 0.85617 0.000 0.000 0.924 0.000 0.076
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.3093 0.73197 0.824 0.000 0.008 0.000 0.168
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.0290 0.72684 0.008 0.000 0.000 0.000 0.992
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.4610 0.39463 0.016 0.000 0.596 0.000 0.388
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0162 0.88005 0.000 0.996 0.004 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 5 0.3305 0.70403 0.224 0.000 0.000 0.000 0.776
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.5003 0.57726 0.544 0.000 0.032 0.000 0.424
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.3085 0.73500 0.852 0.000 0.032 0.000 0.116
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.1671 0.85617 0.000 0.000 0.924 0.000 0.076
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 5 0.2891 0.73465 0.176 0.000 0.000 0.000 0.824
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.2110 0.81349 0.072 0.000 0.912 0.000 0.016
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 5 0.5215 0.28804 0.052 0.000 0.372 0.000 0.576
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0290 0.87902 0.000 0.992 0.008 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.5242 0.36763 0.036 0.576 0.008 0.380 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 5 0.2970 0.74075 0.168 0.000 0.000 0.004 0.828
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.4317 0.59395 0.320 0.000 0.004 0.008 0.668
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.4623 0.66931 0.664 0.000 0.032 0.000 0.304
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 5 0.0290 0.72759 0.008 0.000 0.000 0.000 0.992
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0960 0.86855 0.016 0.972 0.004 0.008 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.5404 0.58757 0.636 0.000 0.264 0.000 0.100
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.3999 0.70992 0.240 0.000 0.020 0.000 0.740
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0290 0.88005 0.000 0.992 0.008 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 5 0.5024 0.10992 0.440 0.000 0.032 0.000 0.528
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 5 0.2722 0.68709 0.108 0.000 0.020 0.000 0.872
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.4517 0.15568 0.000 0.556 0.008 0.436 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.1671 0.85617 0.000 0.000 0.924 0.000 0.076
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.1954 0.80378 0.032 0.000 0.932 0.028 0.008
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.3622 0.71255 0.804 0.000 0.016 0.008 0.172
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 5 0.3242 0.54058 0.000 0.000 0.216 0.000 0.784
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 5 0.4352 0.69435 0.244 0.000 0.036 0.000 0.720
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 5 0.3086 0.73223 0.180 0.000 0.000 0.004 0.816
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0290 0.88005 0.000 0.992 0.008 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.1671 0.85617 0.000 0.000 0.924 0.000 0.076
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.1471 0.87027 0.024 0.020 0.004 0.952 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.3124 0.72428 0.840 0.000 0.008 0.008 0.144
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 4 0.0932 0.87073 0.004 0.020 0.004 0.972 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.1399 0.84961 0.020 0.000 0.952 0.000 0.028
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.2922 0.73015 0.872 0.000 0.056 0.000 0.072
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.4276 0.69056 0.724 0.000 0.032 0.000 0.244
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.2110 0.81349 0.072 0.000 0.912 0.000 0.016
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.1408 0.85878 0.008 0.000 0.948 0.000 0.044
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 5 0.5280 0.45422 0.372 0.000 0.024 0.020 0.584
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.5311 0.28882 0.036 0.544 0.008 0.412 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.4747 0.63445 0.636 0.000 0.032 0.000 0.332
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.3336 0.71606 0.228 0.000 0.000 0.000 0.772
#> 09758B6F-1B2D-4AED-8913-696097069409 4 0.3035 0.81321 0.112 0.000 0.032 0.856 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 5 0.4589 0.57650 0.292 0.000 0.020 0.008 0.680
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.3805 0.72664 0.784 0.000 0.032 0.000 0.184
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0162 0.87995 0.000 0.996 0.004 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.1310 0.84936 0.020 0.000 0.956 0.000 0.024
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.3858 0.68903 0.760 0.000 0.008 0.008 0.224
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 5 0.3980 0.42046 0.008 0.000 0.284 0.000 0.708
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.1408 0.85878 0.008 0.000 0.948 0.000 0.044
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 4 0.1808 0.86388 0.040 0.020 0.004 0.936 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 5 0.3109 0.72172 0.200 0.000 0.000 0.000 0.800
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 5 0.1638 0.70271 0.004 0.000 0.064 0.000 0.932
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.4321 0.39818 0.004 0.000 0.600 0.000 0.396
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.3010 0.73331 0.824 0.000 0.004 0.000 0.172
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#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 5 0.4122 0.64215 0.304 0.000 0.004 0.004 0.688
#> B55743F2-4D63-4375-85D3-F58281CFD852 5 0.0324 0.72917 0.004 0.000 0.000 0.004 0.992
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 5 0.2929 0.72809 0.180 0.000 0.000 0.000 0.820
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.1444 0.85751 0.012 0.000 0.948 0.000 0.040
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.2110 0.81349 0.072 0.000 0.912 0.000 0.016
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 5 0.3550 0.71372 0.236 0.000 0.000 0.004 0.760
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 5 0.1043 0.74063 0.040 0.000 0.000 0.000 0.960
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0162 0.87995 0.000 0.996 0.004 0.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.4779 0.63999 0.628 0.000 0.032 0.000 0.340
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.1310 0.84936 0.020 0.000 0.956 0.000 0.024
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 5 0.6155 0.47421 0.252 0.000 0.192 0.000 0.556
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 4 0.1772 0.86668 0.032 0.008 0.020 0.940 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 4 0.5366 0.06159 0.032 0.428 0.012 0.528 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 5 0.0703 0.72984 0.024 0.000 0.000 0.000 0.976
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 4 0.2960 0.81759 0.036 0.080 0.008 0.876 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.4749 0.60110 0.040 0.700 0.008 0.252 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.4064 0.74113 0.116 0.000 0.792 0.000 0.092
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 5 0.6261 0.46555 0.264 0.000 0.200 0.000 0.536
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.5306 0.31445 0.044 0.552 0.004 0.400 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0162 0.87995 0.000 0.996 0.004 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.1671 0.85617 0.000 0.000 0.924 0.000 0.076
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 5 0.0324 0.72781 0.004 0.000 0.000 0.004 0.992
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 5 0.2011 0.68359 0.004 0.000 0.088 0.000 0.908
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 4 0.2075 0.85867 0.040 0.032 0.004 0.924 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 5 0.4017 0.67876 0.248 0.000 0.012 0.004 0.736
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 4 0.2960 0.81759 0.036 0.080 0.008 0.876 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 5 0.2773 0.73874 0.164 0.000 0.000 0.000 0.836
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 5 0.0162 0.72697 0.004 0.000 0.000 0.000 0.996
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.3991 0.71458 0.780 0.000 0.048 0.000 0.172
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.5289 0.12223 0.048 0.000 0.500 0.000 0.452
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.4649 0.02555 0.580 0.000 0.016 0.000 0.404
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0162 0.87995 0.000 0.996 0.004 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 5 0.3812 0.56300 0.024 0.000 0.204 0.000 0.772
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 5 0.4040 0.66254 0.260 0.000 0.016 0.000 0.724
#> D365A238-4739-4B54-9608-DC548F21C04E 5 0.3278 0.73561 0.156 0.000 0.020 0.000 0.824
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.3307 0.80124 0.052 0.000 0.844 0.000 0.104
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.4801 0.53679 0.744 0.004 0.012 0.180 0.060
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 5 0.3480 0.69919 0.248 0.000 0.000 0.000 0.752
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 5 0.5884 -0.37111 0.420 0.000 0.100 0.000 0.480
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.3720 0.72073 0.012 0.000 0.760 0.000 0.228
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.5554 0.31961 0.644 0.004 0.020 0.280 0.052
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.5329 0.60364 0.656 0.000 0.108 0.000 0.236
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.6307 0.47645 0.532 0.000 0.244 0.000 0.224
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 5 0.4758 0.62340 0.276 0.000 0.048 0.000 0.676
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0162 0.87995 0.000 0.996 0.004 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.4248 0.72004 0.728 0.000 0.032 0.000 0.240
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 4 0.3616 0.77484 0.164 0.000 0.032 0.804 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 5 0.3003 0.72465 0.188 0.000 0.000 0.000 0.812
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 5 0.6387 -0.00842 0.272 0.000 0.216 0.000 0.512
#> EFE5A302-D138-4044-A301-5C5FD1C24836 5 0.0404 0.72738 0.012 0.000 0.000 0.000 0.988
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0290 0.87902 0.000 0.992 0.008 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.3115 0.69874 0.876 0.000 0.048 0.020 0.056
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.1626 0.83375 0.044 0.000 0.940 0.000 0.016
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.2844 0.71224 0.888 0.000 0.032 0.016 0.064
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 5 0.8476 0.08751 0.168 0.172 0.008 0.276 0.376
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 5 0.5870 0.48532 0.136 0.000 0.284 0.000 0.580
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 4 0.6743 0.53118 0.184 0.000 0.036 0.564 0.216
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.4182 0.65587 0.644 0.000 0.004 0.000 0.352
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 5 0.0000 0.72764 0.000 0.000 0.000 0.000 1.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 4 0.1648 0.86517 0.040 0.020 0.000 0.940 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.4276 0.71227 0.724 0.000 0.032 0.000 0.244
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.2511 0.84567 0.080 0.000 0.028 0.892 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.2533 0.71290 0.888 0.000 0.008 0.008 0.096
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 5 0.6529 0.42383 0.228 0.000 0.296 0.000 0.476
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.4804 0.13872 0.524 0.000 0.460 0.008 0.008
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.4288 0.26523 0.664 0.000 0.012 0.324 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.2824 0.73519 0.872 0.000 0.032 0.000 0.096
#> 6752EED9-7990-433F-A206-D5398C396471 5 0.3109 0.72769 0.200 0.000 0.000 0.000 0.800
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.1831 0.72387 0.920 0.000 0.004 0.000 0.076
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.1408 0.85878 0.008 0.000 0.948 0.000 0.044
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.4138 0.42794 0.000 0.000 0.616 0.000 0.384
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.3090 0.73274 0.860 0.000 0.052 0.000 0.088
#> 835AAE7F-F873-4D11-8845-232D261A38DF 5 0.6240 -0.26760 0.360 0.000 0.152 0.000 0.488
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.3450 0.71666 0.808 0.000 0.008 0.008 0.176
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.0794 0.72770 0.028 0.000 0.000 0.000 0.972
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0162 0.88005 0.000 0.996 0.004 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0162 0.87995 0.000 0.996 0.004 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.1310 0.84936 0.020 0.000 0.956 0.000 0.024
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.3882 0.71920 0.788 0.000 0.044 0.000 0.168
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.3336 0.71408 0.228 0.000 0.000 0.000 0.772
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.3756 0.60511 0.744 0.000 0.008 0.000 0.248
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 6 0.4603 -0.14240 0.040 0.000 0.000 0.416 0.000 0.544
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.1562 0.84719 0.004 0.000 0.940 0.000 0.024 0.032
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.4386 0.65704 0.228 0.000 0.712 0.000 0.020 0.040
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.2320 0.60366 0.864 0.000 0.000 0.000 0.132 0.004
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.4099 0.19720 0.612 0.000 0.000 0.000 0.372 0.016
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.2070 0.64777 0.008 0.000 0.000 0.000 0.892 0.100
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.2527 0.79173 0.084 0.000 0.876 0.000 0.000 0.040
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0405 0.87534 0.008 0.988 0.004 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.4819 0.54503 0.116 0.000 0.000 0.000 0.656 0.228
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.4432 -0.08817 0.600 0.000 0.000 0.000 0.036 0.364
#> B710293C-41D3-4A2E-8104-5402F91DD859 5 0.4877 0.56302 0.192 0.000 0.000 0.000 0.660 0.148
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 6 0.5873 0.43215 0.352 0.000 0.000 0.000 0.204 0.444
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.1605 0.84996 0.016 0.000 0.940 0.000 0.012 0.032
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.0547 0.75458 0.000 0.000 0.000 0.980 0.000 0.020
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.3893 0.51804 0.796 0.000 0.120 0.000 0.028 0.056
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0777 0.84769 0.004 0.000 0.972 0.000 0.024 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.1723 0.84223 0.000 0.000 0.928 0.000 0.036 0.036
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.4482 0.01823 0.628 0.000 0.000 0.000 0.048 0.324
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.1398 0.65188 0.008 0.000 0.000 0.000 0.940 0.052
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.5156 0.19136 0.020 0.000 0.540 0.000 0.392 0.048
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.1410 0.87516 0.008 0.944 0.004 0.000 0.000 0.044
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.4263 -0.15233 0.504 0.000 0.000 0.000 0.480 0.016
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.3998 0.48602 0.644 0.000 0.000 0.000 0.340 0.016
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.3027 0.42300 0.824 0.000 0.000 0.000 0.028 0.148
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.1562 0.84719 0.004 0.000 0.940 0.000 0.024 0.032
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 5 0.4049 0.52077 0.332 0.000 0.000 0.000 0.648 0.020
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.2457 0.79330 0.084 0.000 0.880 0.000 0.000 0.036
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 5 0.5886 0.46757 0.096 0.000 0.280 0.000 0.572 0.052
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.1410 0.87516 0.008 0.944 0.004 0.000 0.000 0.044
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 4 0.5091 0.00502 0.004 0.424 0.004 0.512 0.000 0.056
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 5 0.4454 0.60995 0.224 0.000 0.000 0.000 0.692 0.084
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.5529 0.34496 0.148 0.000 0.000 0.004 0.556 0.292
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.3319 0.59838 0.800 0.000 0.000 0.000 0.164 0.036
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 5 0.1616 0.65121 0.048 0.000 0.000 0.000 0.932 0.020
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.2827 0.82436 0.012 0.884 0.044 0.020 0.000 0.040
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.3968 0.53697 0.788 0.000 0.132 0.000 0.048 0.032
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.4993 0.55556 0.304 0.000 0.004 0.000 0.608 0.084
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.1410 0.87516 0.008 0.944 0.004 0.000 0.000 0.044
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.3871 0.34966 0.676 0.000 0.000 0.000 0.308 0.016
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 5 0.4261 0.13771 0.408 0.000 0.000 0.000 0.572 0.020
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.5060 0.27451 0.008 0.592 0.012 0.344 0.000 0.044
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0777 0.84769 0.004 0.000 0.972 0.000 0.024 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.1588 0.81463 0.004 0.000 0.924 0.000 0.000 0.072
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 6 0.4757 0.34051 0.468 0.000 0.000 0.000 0.048 0.484
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 5 0.3239 0.58445 0.008 0.000 0.152 0.000 0.816 0.024
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.4756 -0.12840 0.504 0.000 0.008 0.000 0.456 0.032
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 5 0.4252 0.62416 0.188 0.000 0.000 0.000 0.724 0.088
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.1340 0.87586 0.008 0.948 0.004 0.000 0.000 0.040
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.1405 0.84924 0.004 0.000 0.948 0.000 0.024 0.024
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.3189 0.72293 0.000 0.000 0.020 0.796 0.000 0.184
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.4726 -0.24459 0.528 0.000 0.000 0.000 0.048 0.424
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 4 0.1588 0.75555 0.000 0.000 0.004 0.924 0.000 0.072
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.2497 0.83578 0.040 0.000 0.896 0.000 0.032 0.032
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.2963 0.42817 0.828 0.000 0.004 0.000 0.016 0.152
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.2536 0.60180 0.864 0.000 0.000 0.000 0.116 0.020
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.2457 0.79330 0.084 0.000 0.880 0.000 0.000 0.036
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.1528 0.85024 0.016 0.000 0.944 0.000 0.012 0.028
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 6 0.5622 0.32600 0.144 0.000 0.000 0.004 0.332 0.520
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 4 0.4884 0.11733 0.004 0.392 0.004 0.556 0.000 0.044
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.3104 0.59745 0.800 0.000 0.000 0.000 0.184 0.016
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.3986 0.55487 0.316 0.000 0.000 0.000 0.664 0.020
#> 09758B6F-1B2D-4AED-8913-696097069409 6 0.4517 -0.22556 0.032 0.000 0.000 0.444 0.000 0.524
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 5 0.5471 0.15500 0.112 0.000 0.004 0.000 0.504 0.380
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.2571 0.56157 0.876 0.000 0.000 0.000 0.064 0.060
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0260 0.87676 0.008 0.992 0.000 0.000 0.000 0.000
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#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.3309 0.36055 0.788 0.000 0.004 0.000 0.016 0.192
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.2231 0.58432 0.900 0.000 0.004 0.000 0.068 0.028
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 5 0.3955 0.55732 0.316 0.000 0.004 0.000 0.668 0.012
#> C86EBD08-53F2-4972-801A-74970FDD6A62 5 0.4500 0.61127 0.224 0.000 0.000 0.000 0.688 0.088
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 5 0.4407 0.61179 0.232 0.000 0.000 0.000 0.692 0.076
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.4378 0.56363 0.012 0.676 0.280 0.000 0.000 0.032
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.4399 0.16949 0.688 0.000 0.056 0.000 0.004 0.252
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.1168 0.84060 0.028 0.000 0.956 0.000 0.000 0.016
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 5 0.2841 0.62106 0.164 0.000 0.000 0.000 0.824 0.012
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 5 0.5479 0.34067 0.136 0.000 0.000 0.004 0.556 0.304
#> B2088466-FA5D-491C-9982-99B33683E66F 4 0.0632 0.75480 0.000 0.000 0.000 0.976 0.000 0.024
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.1572 0.84452 0.000 0.000 0.936 0.000 0.028 0.036
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0551 0.87517 0.008 0.984 0.004 0.000 0.000 0.004
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.1268 0.87629 0.008 0.952 0.004 0.000 0.000 0.036
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.5098 0.35080 0.012 0.560 0.004 0.376 0.000 0.048
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.4298 0.64104 0.016 0.000 0.732 0.000 0.200 0.052
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.1364 0.84451 0.016 0.000 0.952 0.000 0.012 0.020
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 5 0.5102 0.54574 0.240 0.000 0.000 0.000 0.620 0.140
#> B55743F2-4D63-4375-85D3-F58281CFD852 5 0.0717 0.65680 0.016 0.000 0.000 0.000 0.976 0.008
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 5 0.3938 0.53403 0.324 0.000 0.000 0.000 0.660 0.016
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.1605 0.84996 0.016 0.000 0.940 0.000 0.012 0.032
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.2660 0.79496 0.084 0.000 0.868 0.000 0.000 0.048
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 5 0.4747 0.57108 0.288 0.000 0.000 0.000 0.632 0.080
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 5 0.2135 0.66286 0.128 0.000 0.000 0.000 0.872 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0551 0.87517 0.008 0.984 0.004 0.000 0.000 0.004
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.3301 0.59298 0.788 0.000 0.000 0.000 0.188 0.024
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.1168 0.84060 0.028 0.000 0.956 0.000 0.000 0.016
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.5326 0.21222 0.584 0.000 0.048 0.000 0.328 0.040
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 4 0.3403 0.71107 0.000 0.000 0.020 0.768 0.000 0.212
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 4 0.4619 0.45668 0.008 0.248 0.004 0.684 0.000 0.056
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 5 0.2357 0.64731 0.116 0.000 0.000 0.000 0.872 0.012
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 4 0.1007 0.75008 0.004 0.016 0.004 0.968 0.000 0.008
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.5325 0.31095 0.004 0.532 0.012 0.388 0.000 0.064
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.6180 0.13634 0.400 0.000 0.448 0.000 0.104 0.048
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.5061 0.27988 0.620 0.000 0.040 0.000 0.304 0.036
#> CE539000-92D7-4622-9C8D-BC6E01310681 4 0.4993 0.17430 0.004 0.392 0.024 0.556 0.000 0.024
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0146 0.87652 0.004 0.996 0.000 0.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.1232 0.84457 0.004 0.000 0.956 0.000 0.024 0.016
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 5 0.0520 0.65498 0.008 0.000 0.000 0.000 0.984 0.008
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 5 0.2555 0.62039 0.008 0.000 0.096 0.000 0.876 0.020
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 4 0.0713 0.75324 0.000 0.000 0.000 0.972 0.000 0.028
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 5 0.4486 0.57448 0.096 0.000 0.000 0.000 0.696 0.208
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 4 0.1007 0.75008 0.004 0.016 0.004 0.968 0.000 0.008
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 5 0.3953 0.54007 0.328 0.000 0.000 0.000 0.656 0.016
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 5 0.0858 0.65363 0.004 0.000 0.000 0.000 0.968 0.028
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.2380 0.58274 0.892 0.000 0.004 0.000 0.068 0.036
#> 54504893-92C5-4328-85A8-2A882680B5E0 5 0.6559 0.38394 0.168 0.000 0.320 0.000 0.460 0.052
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.5679 -0.00978 0.536 0.000 0.004 0.000 0.172 0.288
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0551 0.87716 0.008 0.984 0.004 0.000 0.000 0.004
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 5 0.4468 0.58941 0.056 0.000 0.144 0.000 0.752 0.048
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.4205 0.04040 0.564 0.000 0.000 0.000 0.420 0.016
#> D365A238-4739-4B54-9608-DC548F21C04E 5 0.3785 0.65566 0.152 0.000 0.004 0.000 0.780 0.064
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.6376 0.13590 0.384 0.000 0.436 0.000 0.132 0.048
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 6 0.6048 0.51107 0.348 0.000 0.000 0.132 0.028 0.492
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 5 0.4649 0.47256 0.380 0.000 0.000 0.000 0.572 0.048
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.4841 0.27742 0.504 0.000 0.012 0.000 0.452 0.032
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.3928 0.68760 0.020 0.000 0.760 0.000 0.192 0.028
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 6 0.5448 0.58886 0.280 0.000 0.000 0.120 0.012 0.588
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.4868 0.53370 0.712 0.000 0.028 0.000 0.124 0.136
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.5106 0.51070 0.700 0.000 0.088 0.000 0.156 0.056
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.4292 0.14199 0.588 0.000 0.000 0.000 0.388 0.024
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0405 0.87534 0.008 0.988 0.004 0.000 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.3423 0.51587 0.812 0.000 0.000 0.000 0.088 0.100
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 6 0.4603 -0.14240 0.040 0.000 0.000 0.416 0.000 0.544
#> 9AF0E82E-E621-437A-8D19-700532B95090 5 0.3464 0.55759 0.312 0.000 0.000 0.000 0.688 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.5701 0.19202 0.492 0.000 0.076 0.000 0.400 0.032
#> EFE5A302-D138-4044-A301-5C5FD1C24836 5 0.1462 0.65043 0.056 0.000 0.000 0.000 0.936 0.008
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.1788 0.87001 0.012 0.928 0.004 0.004 0.000 0.052
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 6 0.4530 0.47259 0.420 0.000 0.012 0.000 0.016 0.552
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.2221 0.80681 0.072 0.000 0.896 0.000 0.000 0.032
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.4323 -0.36213 0.508 0.000 0.008 0.000 0.008 0.476
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 4 0.7824 0.03016 0.100 0.048 0.004 0.388 0.324 0.136
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 5 0.5977 0.51609 0.100 0.000 0.256 0.000 0.580 0.064
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 6 0.6687 0.28579 0.056 0.000 0.004 0.256 0.192 0.492
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.5421 0.36371 0.580 0.000 0.000 0.000 0.204 0.216
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 5 0.1049 0.65677 0.032 0.000 0.000 0.000 0.960 0.008
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 4 0.0937 0.75561 0.000 0.000 0.000 0.960 0.000 0.040
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.3655 0.55152 0.792 0.000 0.000 0.000 0.112 0.096
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.4167 0.57287 0.000 0.000 0.020 0.612 0.000 0.368
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.4336 -0.36021 0.504 0.000 0.000 0.000 0.020 0.476
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.6219 0.07511 0.512 0.000 0.136 0.000 0.308 0.044
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.5819 0.06826 0.368 0.000 0.444 0.000 0.000 0.188
#> C98275CD-C39A-4E14-A731-4F3EB7396665 4 0.5982 -0.31882 0.228 0.000 0.000 0.392 0.000 0.380
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.2282 0.49993 0.888 0.000 0.000 0.000 0.024 0.088
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.4473 -0.17511 0.488 0.000 0.000 0.000 0.484 0.028
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.4057 -0.12241 0.600 0.000 0.000 0.000 0.012 0.388
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.1605 0.84996 0.016 0.000 0.940 0.000 0.012 0.032
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.4141 0.26447 0.000 0.000 0.596 0.000 0.388 0.016
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.1982 0.52305 0.912 0.000 0.004 0.000 0.016 0.068
#> 835AAE7F-F873-4D11-8845-232D261A38DF 5 0.5249 -0.22555 0.464 0.000 0.028 0.000 0.468 0.040
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.4814 -0.21757 0.532 0.000 0.000 0.000 0.056 0.412
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.2981 0.62697 0.160 0.000 0.000 0.000 0.820 0.020
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.1340 0.87586 0.008 0.948 0.004 0.000 0.000 0.040
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0405 0.87534 0.008 0.988 0.004 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.1592 0.84886 0.020 0.000 0.940 0.000 0.008 0.032
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.2506 0.57467 0.880 0.000 0.000 0.000 0.068 0.052
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.4552 0.56706 0.300 0.000 0.000 0.000 0.640 0.060
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.5515 -0.19643 0.492 0.000 0.000 0.000 0.136 0.372
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 17469 rows and 309 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 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 0.921 0.950 0.978 0.4500 0.542 0.542
#> 3 3 0.661 0.681 0.837 0.4508 0.721 0.525
#> 4 4 0.681 0.627 0.842 0.1368 0.837 0.578
#> 5 5 0.688 0.713 0.831 0.0681 0.849 0.506
#> 6 6 0.684 0.626 0.793 0.0431 0.911 0.617
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.0000 0.949 0.000 1.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.0000 0.992 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.0000 0.992 1.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.992 1.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.992 1.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.992 1.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 2 0.0000 0.949 0.000 1.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.949 0.000 1.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.0000 0.992 1.000 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.992 1.000 0.000
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#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.0000 0.992 1.000 0.000
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0000 0.992 1.000 0.000
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.0000 0.992 1.000 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.0000 0.992 1.000 0.000
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0000 0.992 1.000 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 2 0.7219 0.769 0.200 0.800
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.0000 0.992 1.000 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0000 0.949 0.000 1.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.0000 0.949 0.000 1.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.0000 0.992 1.000 0.000
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.0000 0.992 1.000 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0000 0.992 1.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.0000 0.992 1.000 0.000
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0000 0.992 1.000 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.0000 0.949 0.000 1.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 2 0.8016 0.711 0.244 0.756
#> DD51C17C-300F-44A4-955A-C9BC85417842 1 0.0376 0.988 0.996 0.004
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0000 0.992 1.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.0000 0.992 1.000 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.0000 0.949 0.000 1.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 1 0.0000 0.992 1.000 0.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.949 0.000 1.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.949 0.000 1.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.949 0.000 1.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.0000 0.992 1.000 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 2 0.5629 0.836 0.132 0.868
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.0000 0.992 1.000 0.000
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0000 0.992 1.000 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0000 0.992 1.000 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.0000 0.992 1.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.0000 0.992 1.000 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.0672 0.984 0.992 0.008
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0000 0.992 1.000 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.949 0.000 1.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.0000 0.992 1.000 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.0000 0.992 1.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.0000 0.992 1.000 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.949 0.000 1.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.949 0.000 1.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.992 1.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.949 0.000 1.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.949 0.000 1.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0000 0.992 1.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0000 0.992 1.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.949 0.000 1.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.949 0.000 1.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 2 0.9686 0.405 0.396 0.604
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.992 1.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0000 0.992 1.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.949 0.000 1.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0000 0.992 1.000 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.949 0.000 1.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.992 1.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.992 1.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.992 1.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.0000 0.992 1.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.992 1.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.949 0.000 1.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.992 1.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.992 1.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0000 0.992 1.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0000 0.992 1.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 2 0.0000 0.949 0.000 1.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.992 1.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0000 0.992 1.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.0672 0.984 0.992 0.008
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 2 0.0000 0.949 0.000 1.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0000 0.992 1.000 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.0000 0.992 1.000 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.992 1.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.949 0.000 1.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.992 1.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.0000 0.949 0.000 1.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.992 1.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.992 1.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.992 1.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.949 0.000 1.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 2 0.7453 0.754 0.212 0.788
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 2 0.6048 0.822 0.148 0.852
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 2 0.4298 0.881 0.088 0.912
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.0000 0.949 0.000 1.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.0000 0.992 1.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 2 0.6887 0.788 0.184 0.816
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.992 1.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.992 1.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.949 0.000 1.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.992 1.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.949 0.000 1.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.992 1.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.0000 0.992 1.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 2 0.7219 0.769 0.200 0.800
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.949 0.000 1.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0672 0.984 0.992 0.008
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.992 1.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 2 0.7453 0.754 0.212 0.788
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.0376 0.988 0.996 0.004
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.1633 0.968 0.976 0.024
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.0000 0.992 1.000 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.992 1.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.992 1.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.992 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.949 0.000 1.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.949 0.000 1.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.0000 0.992 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.992 1.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.992 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.0000 0.9809 0.000 1.000 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.7236 0.000 0.000 1.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.1031 0.7197 0.024 0.000 0.976
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.6203 1.000 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.6008 0.6336 0.628 0.000 0.372
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.6154 0.6309 0.592 0.000 0.408
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.6513 0.5119 0.400 0.008 0.592
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9809 0.000 1.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.6154 0.6309 0.592 0.000 0.408
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.6203 1.000 0.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.6126 0.6328 0.600 0.000 0.400
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.6203 1.000 0.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0892 0.7208 0.020 0.000 0.980
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.9809 0.000 1.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.6154 0.5090 0.408 0.000 0.592
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.7236 0.000 0.000 1.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0000 0.7236 0.000 0.000 1.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.6203 1.000 0.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.6154 0.6309 0.592 0.000 0.408
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0000 0.7236 0.000 0.000 1.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9809 0.000 1.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.6154 0.6309 0.592 0.000 0.408
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.6203 1.000 0.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.6203 1.000 0.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.7236 0.000 0.000 1.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.6244 0.5870 0.560 0.000 0.440
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.6126 0.5169 0.400 0.000 0.600
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.0000 0.7236 0.000 0.000 1.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9809 0.000 1.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.9809 0.000 1.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.6140 0.6323 0.596 0.000 0.404
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.6126 0.6328 0.600 0.000 0.400
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.6203 1.000 0.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.6154 0.6309 0.592 0.000 0.408
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.9809 0.000 1.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.6126 0.5169 0.400 0.000 0.600
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 3 0.6111 -0.2377 0.396 0.000 0.604
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.9809 0.000 1.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.3551 0.6176 0.868 0.000 0.132
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.6154 0.6309 0.592 0.000 0.408
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.9809 0.000 1.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0000 0.7236 0.000 0.000 1.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.6359 0.2048 0.004 0.404 0.592
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.6203 1.000 0.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.4555 0.4394 0.200 0.000 0.800
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 3 0.2356 0.6515 0.072 0.000 0.928
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.6140 0.6323 0.596 0.000 0.404
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9809 0.000 1.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0000 0.7236 0.000 0.000 1.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.9809 0.000 1.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.6203 1.000 0.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0000 0.9809 0.000 1.000 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.5560 0.5905 0.300 0.000 0.700
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.4555 0.3361 0.800 0.000 0.200
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0000 0.6203 1.000 0.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.6126 0.5169 0.400 0.000 0.600
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.1031 0.7197 0.024 0.000 0.976
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.5591 0.6310 0.696 0.000 0.304
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.9809 0.000 1.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.6203 1.000 0.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.6154 0.6309 0.592 0.000 0.408
#> 09758B6F-1B2D-4AED-8913-696097069409 2 0.0000 0.9809 0.000 1.000 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 3 0.5678 0.2519 0.316 0.000 0.684
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.6203 1.000 0.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9809 0.000 1.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.5397 0.6026 0.280 0.000 0.720
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.6203 1.000 0.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 3 0.0237 0.7208 0.004 0.000 0.996
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0747 0.7217 0.016 0.000 0.984
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.9809 0.000 1.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.6154 0.6309 0.592 0.000 0.408
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 3 0.4796 0.3938 0.220 0.000 0.780
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.0000 0.7236 0.000 0.000 1.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0000 0.6203 1.000 0.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.0000 0.6203 1.000 0.000 0.000
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#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.9809 0.000 1.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.6180 0.6219 0.584 0.000 0.416
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.9809 0.000 1.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.6154 0.6309 0.592 0.000 0.408
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.6154 0.6309 0.592 0.000 0.408
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0892 0.6032 0.980 0.000 0.020
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.0000 0.7236 0.000 0.000 1.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.5431 0.5872 0.716 0.000 0.284
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.9809 0.000 1.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.4291 0.4810 0.180 0.000 0.820
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.6154 0.6309 0.592 0.000 0.408
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.6280 0.5588 0.540 0.000 0.460
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.0000 0.7236 0.000 0.000 1.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 2 0.6126 0.4339 0.400 0.600 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.6140 0.6323 0.596 0.000 0.404
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.6126 -0.2295 0.600 0.000 0.400
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.6260 0.3999 0.448 0.000 0.552
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 2 0.0747 0.9659 0.016 0.984 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 3 0.6079 0.5261 0.388 0.000 0.612
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.5591 0.5876 0.304 0.000 0.696
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.6274 0.5657 0.544 0.000 0.456
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.9809 0.000 1.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.6203 1.000 0.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.0000 0.9809 0.000 1.000 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.6154 0.6309 0.592 0.000 0.408
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 3 0.6309 0.3180 0.500 0.000 0.500
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.6154 0.6309 0.592 0.000 0.408
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.9809 0.000 1.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.9706 -0.2063 0.456 0.272 0.272
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.6126 0.5169 0.400 0.000 0.600
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.9576 -0.1833 0.408 0.396 0.196
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.0000 0.9809 0.000 1.000 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.0000 0.7236 0.000 0.000 1.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 2 0.7180 0.6023 0.196 0.708 0.096
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.6203 1.000 0.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.6154 0.6309 0.592 0.000 0.408
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.9809 0.000 1.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.6203 1.000 0.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.9809 0.000 1.000 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.6203 1.000 0.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.0000 0.7236 0.000 0.000 1.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.6154 0.5090 0.408 0.000 0.592
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.9809 0.000 1.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.6203 1.000 0.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.6140 0.6323 0.596 0.000 0.404
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.0000 0.6203 1.000 0.000 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.4796 0.6356 0.220 0.000 0.780
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.0000 0.7236 0.000 0.000 1.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.4504 0.3441 0.804 0.000 0.196
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.6309 -0.3217 0.504 0.000 0.496
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.6203 1.000 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.6154 0.6309 0.592 0.000 0.408
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9809 0.000 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9809 0.000 1.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.5591 0.5888 0.304 0.000 0.696
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0424 0.6141 0.992 0.000 0.008
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.6140 0.6323 0.596 0.000 0.404
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.6203 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.4992 -0.11641 0.000 0.476 0.000 0.524
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0188 0.85692 0.004 0.000 0.996 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.0000 0.85651 0.000 0.000 1.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.5165 0.10389 0.512 0.000 0.004 0.484
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.1978 0.71677 0.928 0.000 0.004 0.068
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.2216 0.68204 0.908 0.000 0.000 0.092
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.2469 0.78149 0.000 0.000 0.892 0.108
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.4661 0.31939 0.652 0.000 0.000 0.348
#> 53062969-D209-490B-9C9B-5D297625E2AE 4 0.3024 0.60400 0.148 0.000 0.000 0.852
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.4008 0.50734 0.756 0.000 0.000 0.244
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 4 0.3610 0.58624 0.200 0.000 0.000 0.800
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.85651 0.000 0.000 1.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.5080 0.31324 0.004 0.000 0.576 0.420
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0188 0.85692 0.004 0.000 0.996 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0188 0.85692 0.004 0.000 0.996 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 4 0.2408 0.61414 0.104 0.000 0.000 0.896
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.71684 1.000 0.000 0.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.2921 0.77718 0.140 0.000 0.860 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.1792 0.71692 0.932 0.000 0.000 0.068
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.5070 0.14321 0.580 0.000 0.004 0.416
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 4 0.1902 0.61450 0.064 0.000 0.004 0.932
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0188 0.85692 0.004 0.000 0.996 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.1637 0.71784 0.940 0.000 0.000 0.060
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.2469 0.78149 0.000 0.000 0.892 0.108
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.1637 0.83120 0.060 0.000 0.940 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.2469 0.70390 0.892 0.000 0.000 0.108
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 4 0.4992 0.10747 0.476 0.000 0.000 0.524
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.5070 0.15088 0.580 0.000 0.004 0.416
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.71684 1.000 0.000 0.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.6316 0.38118 0.080 0.000 0.596 0.324
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.3610 0.63590 0.800 0.000 0.000 0.200
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.4562 0.59621 0.764 0.000 0.028 0.208
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0188 0.71667 0.996 0.000 0.004 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0188 0.85692 0.004 0.000 0.996 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0188 0.85554 0.000 0.000 0.996 0.004
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 4 0.3024 0.60400 0.148 0.000 0.000 0.852
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.4925 0.34394 0.428 0.000 0.572 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.4701 0.61352 0.780 0.000 0.164 0.056
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.3024 0.67941 0.852 0.000 0.000 0.148
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0188 0.85692 0.004 0.000 0.996 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 4 0.2921 0.60708 0.140 0.000 0.000 0.860
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0000 0.85651 0.000 0.000 1.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 4 0.2943 0.61134 0.032 0.000 0.076 0.892
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.5161 0.11101 0.520 0.000 0.004 0.476
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.2469 0.78149 0.000 0.000 0.892 0.108
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0000 0.85651 0.000 0.000 1.000 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 4 0.4898 0.22698 0.416 0.000 0.000 0.584
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.5155 0.11413 0.528 0.000 0.004 0.468
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.2589 0.70082 0.884 0.000 0.000 0.116
#> 09758B6F-1B2D-4AED-8913-696097069409 2 0.4941 0.31693 0.000 0.564 0.000 0.436
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 4 0.6009 0.25343 0.380 0.000 0.048 0.572
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 4 0.5126 -0.00181 0.444 0.000 0.004 0.552
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.0000 0.85651 0.000 0.000 1.000 0.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 4 0.3172 0.59711 0.160 0.000 0.000 0.840
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 3 0.4040 0.68019 0.248 0.000 0.752 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0000 0.85651 0.000 0.000 1.000 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.1792 0.71692 0.932 0.000 0.000 0.068
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.4134 0.50044 0.740 0.000 0.260 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.2704 0.78976 0.124 0.000 0.876 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 4 0.3942 0.52212 0.236 0.000 0.000 0.764
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 4 0.3610 0.58624 0.200 0.000 0.000 0.800
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.71684 1.000 0.000 0.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.3219 0.63891 0.836 0.000 0.000 0.164
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.0000 0.85651 0.000 0.000 1.000 0.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.2814 0.81054 0.000 0.868 0.000 0.132
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.1211 0.72098 0.960 0.000 0.000 0.040
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.0188 0.85692 0.004 0.000 0.996 0.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.1716 0.71767 0.936 0.000 0.000 0.064
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.71684 1.000 0.000 0.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.5132 0.16823 0.548 0.000 0.004 0.448
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 4 0.5732 0.42259 0.064 0.264 0.000 0.672
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 3 0.7252 0.03260 0.144 0.000 0.436 0.420
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.0188 0.85692 0.004 0.000 0.996 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.4507 0.60533 0.788 0.000 0.168 0.044
#> D47D0936-826F-4D54-9225-F71B95357438 3 0.4950 0.45206 0.376 0.000 0.620 0.004
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.0188 0.85692 0.004 0.000 0.996 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 4 0.4996 0.09782 0.484 0.000 0.000 0.516
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.1389 0.71867 0.952 0.000 0.000 0.048
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 4 0.3486 0.52511 0.000 0.000 0.188 0.812
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 4 0.0000 0.61329 0.000 0.000 0.000 1.000
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 4 0.4907 0.12620 0.420 0.000 0.000 0.580
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.0000 0.85651 0.000 0.000 1.000 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 3 0.6737 0.17414 0.092 0.000 0.488 0.420
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.4998 -0.18681 0.512 0.000 0.000 0.488
#> 7822EA86-35A1-4285-9429-2B63111B9885 4 0.4994 0.10491 0.480 0.000 0.000 0.520
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.94611 0.000 1.000 0.000 0.000
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#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.6984 0.37955 0.184 0.000 0.580 0.236
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.3164 0.70612 0.884 0.000 0.052 0.064
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 4 0.4872 0.32095 0.356 0.000 0.004 0.640
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 4 0.4994 -0.12737 0.000 0.480 0.000 0.520
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.1716 0.71773 0.936 0.000 0.000 0.064
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.4948 0.21029 0.560 0.000 0.440 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.71684 1.000 0.000 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 4 0.1557 0.60500 0.000 0.000 0.056 0.944
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.0000 0.85651 0.000 0.000 1.000 0.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 4 0.1389 0.60708 0.000 0.000 0.048 0.952
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.3441 0.78233 0.120 0.000 0.856 0.024
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 4 0.7371 0.06664 0.160 0.416 0.000 0.424
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 4 0.4992 0.05765 0.476 0.000 0.000 0.524
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.71684 1.000 0.000 0.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.5132 0.11795 0.548 0.000 0.004 0.448
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.4972 0.27172 0.000 0.544 0.000 0.456
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 4 0.0336 0.61470 0.008 0.000 0.000 0.992
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.1256 0.84257 0.028 0.000 0.964 0.008
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 4 0.4888 0.11857 0.000 0.000 0.412 0.588
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 4 0.2266 0.61051 0.084 0.000 0.004 0.912
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.1637 0.71811 0.940 0.000 0.000 0.060
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 4 0.0000 0.61329 0.000 0.000 0.000 1.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.85651 0.000 0.000 1.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.2868 0.78054 0.136 0.000 0.864 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 4 0.3088 0.60236 0.060 0.000 0.052 0.888
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.6944 0.14036 0.484 0.000 0.404 0.112
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 4 0.3024 0.60400 0.148 0.000 0.000 0.852
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0336 0.71856 0.992 0.000 0.000 0.008
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.94611 0.000 1.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.85651 0.000 0.000 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 4 0.5097 0.01724 0.428 0.000 0.004 0.568
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.3024 0.68031 0.852 0.000 0.000 0.148
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 4 0.4948 0.10727 0.440 0.000 0.000 0.560
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.0000 0.7827 0.000 0.000 0.000 1.000 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.8668 0.000 0.000 1.000 0.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.0609 0.8576 0.020 0.000 0.980 0.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.1851 0.7702 0.912 0.000 0.000 0.000 0.088
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.2891 0.7162 0.824 0.000 0.000 0.000 0.176
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.1648 0.7284 0.040 0.000 0.000 0.020 0.940
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.1965 0.8054 0.096 0.000 0.904 0.000 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9247 0.000 1.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.4558 0.6330 0.060 0.000 0.000 0.216 0.724
#> 53062969-D209-490B-9C9B-5D297625E2AE 4 0.5651 0.6469 0.248 0.000 0.000 0.620 0.132
#> B710293C-41D3-4A2E-8104-5402F91DD859 5 0.3791 0.7018 0.112 0.000 0.000 0.076 0.812
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 4 0.4555 0.7501 0.068 0.000 0.000 0.732 0.200
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.8668 0.000 0.000 1.000 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.2561 0.8899 0.000 0.856 0.000 0.144 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.3612 0.5654 0.732 0.000 0.268 0.000 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.8668 0.000 0.000 1.000 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0000 0.8668 0.000 0.000 1.000 0.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.4541 0.5660 0.744 0.000 0.000 0.172 0.084
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.0000 0.7267 0.000 0.000 0.000 0.000 1.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.3109 0.7041 0.000 0.000 0.800 0.000 0.200
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9247 0.000 1.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.3684 0.5733 0.720 0.000 0.000 0.000 0.280
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.3837 0.6692 0.692 0.000 0.000 0.000 0.308
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.2017 0.7135 0.912 0.000 0.000 0.080 0.008
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.8668 0.000 0.000 1.000 0.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 5 0.3932 0.5799 0.328 0.000 0.000 0.000 0.672
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.1965 0.8054 0.096 0.000 0.904 0.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.4173 0.5786 0.012 0.000 0.688 0.000 0.300
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9247 0.000 1.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.1544 0.9152 0.000 0.932 0.000 0.068 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 5 0.3563 0.6977 0.208 0.000 0.000 0.012 0.780
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.5375 0.4402 0.076 0.000 0.000 0.320 0.604
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.3612 0.7044 0.732 0.000 0.000 0.000 0.268
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 5 0.0794 0.7222 0.028 0.000 0.000 0.000 0.972
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.9247 0.000 1.000 0.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.2966 0.6849 0.816 0.000 0.184 0.000 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.4768 0.6273 0.304 0.000 0.000 0.040 0.656
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.9247 0.000 1.000 0.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.1892 0.7673 0.916 0.000 0.004 0.000 0.080
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.4150 0.5883 0.612 0.000 0.000 0.000 0.388
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0510 0.9221 0.000 0.984 0.000 0.016 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0000 0.8668 0.000 0.000 1.000 0.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.2377 0.7625 0.000 0.000 0.872 0.128 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 4 0.4764 0.7642 0.140 0.000 0.000 0.732 0.128
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 5 0.4088 0.2328 0.000 0.000 0.368 0.000 0.632
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.4777 0.5187 0.680 0.000 0.052 0.000 0.268
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 5 0.3724 0.7030 0.204 0.000 0.000 0.020 0.776
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9247 0.000 1.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0000 0.8668 0.000 0.000 1.000 0.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.2605 0.8876 0.000 0.852 0.000 0.148 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 4 0.4827 0.7639 0.160 0.000 0.000 0.724 0.116
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.2516 0.8918 0.000 0.860 0.000 0.140 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0324 0.8646 0.004 0.000 0.992 0.000 0.004
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.3342 0.6611 0.836 0.000 0.020 0.136 0.008
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.1908 0.7696 0.908 0.000 0.000 0.000 0.092
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.1851 0.8116 0.088 0.000 0.912 0.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0000 0.8668 0.000 0.000 1.000 0.000 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 4 0.3980 0.7451 0.076 0.000 0.000 0.796 0.128
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.1792 0.9112 0.000 0.916 0.000 0.084 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.2852 0.7535 0.828 0.000 0.000 0.000 0.172
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.4030 0.5958 0.352 0.000 0.000 0.000 0.648
#> 09758B6F-1B2D-4AED-8913-696097069409 4 0.0290 0.7811 0.000 0.008 0.000 0.992 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 4 0.5285 0.3956 0.060 0.000 0.000 0.584 0.356
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.1522 0.7637 0.944 0.000 0.000 0.012 0.044
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9247 0.000 1.000 0.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.0000 0.8668 0.000 0.000 1.000 0.000 0.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 4 0.5008 0.7475 0.140 0.000 0.000 0.708 0.152
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 3 0.4306 0.1591 0.000 0.000 0.508 0.000 0.492
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0000 0.8668 0.000 0.000 1.000 0.000 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.2605 0.8876 0.000 0.852 0.000 0.148 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 5 0.3932 0.5839 0.328 0.000 0.000 0.000 0.672
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 5 0.2997 0.6493 0.012 0.000 0.148 0.000 0.840
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.3366 0.6809 0.000 0.000 0.768 0.000 0.232
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.5835 0.2261 0.568 0.000 0.000 0.312 0.120
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 4 0.4555 0.7501 0.068 0.000 0.000 0.732 0.200
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 5 0.0000 0.7267 0.000 0.000 0.000 0.000 1.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 5 0.3410 0.7113 0.068 0.000 0.000 0.092 0.840
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.9247 0.000 1.000 0.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.0000 0.8668 0.000 0.000 1.000 0.000 0.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.3837 0.5049 0.000 0.308 0.000 0.692 0.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.4291 0.1087 0.536 0.000 0.000 0.000 0.464
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.0000 0.8668 0.000 0.000 1.000 0.000 0.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 5 0.3932 0.5799 0.328 0.000 0.000 0.000 0.672
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 5 0.0404 0.7255 0.012 0.000 0.000 0.000 0.988
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.2471 0.7683 0.864 0.000 0.000 0.000 0.136
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 4 0.2628 0.8002 0.088 0.000 0.000 0.884 0.028
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.5743 0.5906 0.660 0.000 0.208 0.020 0.112
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.2605 0.8876 0.000 0.852 0.000 0.148 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0510 0.9221 0.000 0.984 0.000 0.016 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.0000 0.8668 0.000 0.000 1.000 0.000 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 5 0.5551 0.2643 0.444 0.000 0.068 0.000 0.488
#> D47D0936-826F-4D54-9225-F71B95357438 5 0.5338 0.1300 0.056 0.000 0.400 0.000 0.544
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.2516 0.8918 0.000 0.860 0.000 0.140 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.0000 0.8668 0.000 0.000 1.000 0.000 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 5 0.4766 0.6108 0.072 0.000 0.000 0.220 0.708
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 5 0.2929 0.6744 0.180 0.000 0.000 0.000 0.820
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 4 0.5191 0.6945 0.192 0.000 0.124 0.684 0.000
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 4 0.2424 0.7959 0.132 0.000 0.000 0.868 0.000
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 5 0.5947 0.4488 0.132 0.000 0.000 0.312 0.556
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.0000 0.8668 0.000 0.000 1.000 0.000 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 1 0.3433 0.7059 0.832 0.000 0.132 0.032 0.004
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.9247 0.000 1.000 0.000 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.9247 0.000 1.000 0.000 0.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 4 0.4481 0.7305 0.048 0.000 0.000 0.720 0.232
#> 7822EA86-35A1-4285-9429-2B63111B9885 5 0.5490 0.3334 0.072 0.000 0.000 0.372 0.556
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.9247 0.000 1.000 0.000 0.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 2 0.5188 0.0609 0.044 0.540 0.000 0.416 0.000
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.0000 0.8668 0.000 0.000 1.000 0.000 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 5 0.0000 0.7267 0.000 0.000 0.000 0.000 1.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 2 0.3816 0.7286 0.000 0.696 0.000 0.304 0.000
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.9247 0.000 1.000 0.000 0.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 5 0.6009 0.4488 0.136 0.000 0.000 0.320 0.544
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.0000 0.8668 0.000 0.000 1.000 0.000 0.000
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.3796 0.5253 0.300 0.000 0.700 0.000 0.000
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#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.5285 0.5855 0.692 0.000 0.192 0.108 0.008
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.3160 0.6788 0.808 0.000 0.188 0.000 0.004
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.3488 0.7106 0.808 0.000 0.024 0.000 0.168
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.9247 0.000 1.000 0.000 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.2561 0.7553 0.856 0.000 0.000 0.000 0.144
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 4 0.0000 0.7827 0.000 0.000 0.000 1.000 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 5 0.3636 0.6321 0.272 0.000 0.000 0.000 0.728
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.5334 0.6624 0.652 0.000 0.104 0.000 0.244
#> EFE5A302-D138-4044-A301-5C5FD1C24836 5 0.0609 0.7240 0.020 0.000 0.000 0.000 0.980
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.9247 0.000 1.000 0.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 4 0.2654 0.7926 0.084 0.000 0.032 0.884 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.1410 0.8327 0.060 0.000 0.940 0.000 0.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 4 0.3274 0.7376 0.220 0.000 0.000 0.780 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.1270 0.9184 0.000 0.948 0.000 0.052 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.3920 0.6302 0.004 0.000 0.724 0.004 0.268
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 4 0.3171 0.7577 0.000 0.000 0.008 0.816 0.176
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.3988 0.7092 0.732 0.000 0.000 0.016 0.252
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 5 0.0000 0.7267 0.000 0.000 0.000 0.000 1.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.2648 0.8853 0.000 0.848 0.000 0.152 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.2813 0.7517 0.832 0.000 0.000 0.000 0.168
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.0404 0.7801 0.000 0.012 0.000 0.988 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 4 0.3196 0.7816 0.192 0.000 0.000 0.804 0.004
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.4961 0.0963 0.448 0.000 0.524 0.000 0.028
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.6244 -0.0653 0.144 0.000 0.444 0.412 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.1671 0.9143 0.000 0.924 0.000 0.076 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0404 0.7551 0.988 0.000 0.000 0.012 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.4288 0.3460 0.612 0.000 0.000 0.004 0.384
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 4 0.4101 0.5986 0.372 0.000 0.000 0.628 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.8668 0.000 0.000 1.000 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.3143 0.7009 0.000 0.000 0.796 0.000 0.204
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.0000 0.7579 1.000 0.000 0.000 0.000 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.4675 0.5734 0.600 0.000 0.020 0.000 0.380
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 4 0.4889 0.7554 0.144 0.000 0.000 0.720 0.136
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.3003 0.6662 0.188 0.000 0.000 0.000 0.812
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9247 0.000 1.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9247 0.000 1.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.8668 0.000 0.000 1.000 0.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0671 0.7629 0.980 0.000 0.000 0.004 0.016
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.4323 0.6129 0.332 0.000 0.000 0.012 0.656
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.6420 -0.0396 0.448 0.000 0.000 0.176 0.376
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.2003 0.7632 0.116 0.000 0.000 0.884 0.000 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.8556 0.000 0.000 1.000 0.000 0.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.1956 0.8126 0.004 0.000 0.908 0.008 0.000 0.080
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 6 0.2003 0.6620 0.116 0.000 0.000 0.000 0.000 0.884
#> 78F79407-D49F-4FA2-B09F-0665C502827C 6 0.1838 0.6642 0.016 0.000 0.000 0.000 0.068 0.916
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.2912 0.6817 0.116 0.000 0.000 0.040 0.844 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.2356 0.7781 0.016 0.000 0.884 0.004 0.000 0.096
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9086 0.000 1.000 0.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.4239 0.6466 0.156 0.000 0.000 0.088 0.748 0.008
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.3701 0.6822 0.788 0.000 0.000 0.000 0.112 0.100
#> B710293C-41D3-4A2E-8104-5402F91DD859 5 0.4139 0.6532 0.136 0.000 0.000 0.036 0.776 0.052
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.3648 0.6904 0.776 0.000 0.000 0.024 0.188 0.012
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.8556 0.000 0.000 1.000 0.000 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.2092 0.8519 0.000 0.124 0.000 0.876 0.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 6 0.5104 0.5312 0.172 0.000 0.164 0.008 0.000 0.656
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.8556 0.000 0.000 1.000 0.000 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0508 0.8505 0.000 0.000 0.984 0.004 0.012 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.3533 0.6785 0.820 0.000 0.000 0.016 0.060 0.104
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.0972 0.6992 0.000 0.000 0.000 0.008 0.964 0.028
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.3357 0.6482 0.000 0.000 0.764 0.004 0.224 0.008
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9086 0.000 1.000 0.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 6 0.2402 0.5877 0.004 0.000 0.000 0.000 0.140 0.856
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 6 0.5298 0.5123 0.160 0.000 0.000 0.000 0.248 0.592
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.4850 -0.0379 0.524 0.000 0.000 0.020 0.024 0.432
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.8556 0.000 0.000 1.000 0.000 0.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 6 0.3833 -0.1489 0.000 0.000 0.000 0.000 0.444 0.556
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.2356 0.7781 0.016 0.000 0.884 0.004 0.000 0.096
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.5445 0.3450 0.000 0.000 0.548 0.004 0.324 0.124
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9086 0.000 1.000 0.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.2092 0.8081 0.000 0.876 0.000 0.124 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 5 0.4709 0.6503 0.140 0.000 0.000 0.016 0.716 0.128
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.4680 0.5400 0.264 0.000 0.000 0.084 0.652 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 6 0.5375 0.5019 0.208 0.000 0.000 0.000 0.204 0.588
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 5 0.2178 0.6666 0.000 0.000 0.000 0.000 0.868 0.132
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.9086 0.000 1.000 0.000 0.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 6 0.3118 0.6462 0.072 0.000 0.092 0.000 0.000 0.836
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.5392 0.4644 0.064 0.000 0.000 0.028 0.564 0.344
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.9086 0.000 1.000 0.000 0.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 6 0.0603 0.6733 0.004 0.000 0.000 0.000 0.016 0.980
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 6 0.3309 0.5382 0.000 0.000 0.000 0.000 0.280 0.720
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.3578 0.4181 0.000 0.660 0.000 0.340 0.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0000 0.8556 0.000 0.000 1.000 0.000 0.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.2357 0.7612 0.012 0.000 0.872 0.116 0.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.3406 0.7233 0.832 0.000 0.000 0.024 0.100 0.044
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 5 0.4308 0.3996 0.000 0.000 0.300 0.008 0.664 0.028
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 6 0.2631 0.5987 0.004 0.000 0.012 0.000 0.128 0.856
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 5 0.4403 0.6549 0.172 0.000 0.000 0.040 0.744 0.044
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9086 0.000 1.000 0.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0000 0.8556 0.000 0.000 1.000 0.000 0.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.2092 0.8519 0.000 0.124 0.000 0.876 0.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.3557 0.7229 0.828 0.000 0.000 0.032 0.080 0.060
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 4 0.2178 0.8468 0.000 0.132 0.000 0.868 0.000 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.1003 0.8437 0.000 0.000 0.964 0.000 0.016 0.020
#> F941890E-AB33-478F-8C97-1C785DD9428F 6 0.4084 0.3701 0.400 0.000 0.000 0.012 0.000 0.588
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 6 0.2300 0.6491 0.144 0.000 0.000 0.000 0.000 0.856
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.2306 0.7819 0.016 0.000 0.888 0.004 0.000 0.092
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0000 0.8556 0.000 0.000 1.000 0.000 0.000 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.5662 0.3264 0.524 0.000 0.000 0.196 0.280 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.2597 0.7477 0.000 0.824 0.000 0.176 0.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 6 0.3908 0.6270 0.132 0.000 0.000 0.000 0.100 0.768
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.4504 0.3524 0.024 0.000 0.000 0.004 0.540 0.432
#> 09758B6F-1B2D-4AED-8913-696097069409 4 0.1663 0.7803 0.088 0.000 0.000 0.912 0.000 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 5 0.5582 0.2821 0.332 0.000 0.004 0.092 0.556 0.016
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 6 0.4527 0.2695 0.456 0.000 0.000 0.004 0.024 0.516
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9086 0.000 1.000 0.000 0.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.0000 0.8556 0.000 0.000 1.000 0.000 0.000 0.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.4021 0.7021 0.780 0.000 0.000 0.032 0.144 0.044
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 5 0.4579 0.2319 0.000 0.000 0.380 0.008 0.584 0.028
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0000 0.8556 0.000 0.000 1.000 0.000 0.000 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 4 0.2135 0.8501 0.000 0.128 0.000 0.872 0.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 6 0.4181 -0.2478 0.012 0.000 0.000 0.000 0.476 0.512
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 5 0.3840 0.6210 0.000 0.000 0.152 0.004 0.776 0.068
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.4325 0.5067 0.000 0.000 0.660 0.008 0.304 0.028
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.3552 0.6845 0.800 0.000 0.000 0.000 0.084 0.116
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.3736 0.7007 0.788 0.000 0.000 0.032 0.160 0.020
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 5 0.0858 0.6968 0.000 0.000 0.000 0.004 0.968 0.028
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 5 0.3164 0.6740 0.140 0.000 0.000 0.032 0.824 0.004
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.9086 0.000 1.000 0.000 0.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.0000 0.8556 0.000 0.000 1.000 0.000 0.000 0.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.3695 0.7600 0.060 0.164 0.000 0.776 0.000 0.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 6 0.2854 0.5276 0.000 0.000 0.000 0.000 0.208 0.792
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.0000 0.8556 0.000 0.000 1.000 0.000 0.000 0.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 6 0.3862 -0.2396 0.000 0.000 0.000 0.000 0.476 0.524
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 5 0.1970 0.6799 0.008 0.000 0.000 0.000 0.900 0.092
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 6 0.2740 0.6733 0.076 0.000 0.000 0.000 0.060 0.864
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.3515 0.6187 0.780 0.000 0.000 0.192 0.016 0.012
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 6 0.6587 0.2952 0.336 0.000 0.084 0.004 0.100 0.476
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 4 0.2048 0.8529 0.000 0.120 0.000 0.880 0.000 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.3737 0.2693 0.000 0.608 0.000 0.392 0.000 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.0146 0.8544 0.000 0.000 0.996 0.004 0.000 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 6 0.4215 0.2902 0.008 0.000 0.016 0.004 0.300 0.672
#> D47D0936-826F-4D54-9225-F71B95357438 5 0.5510 0.3490 0.000 0.000 0.312 0.008 0.556 0.124
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 4 0.2135 0.8499 0.000 0.128 0.000 0.872 0.000 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.0000 0.8556 0.000 0.000 1.000 0.000 0.000 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 5 0.4552 0.6038 0.204 0.000 0.000 0.092 0.700 0.004
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 5 0.3565 0.5152 0.004 0.000 0.000 0.000 0.692 0.304
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.3894 0.6244 0.772 0.000 0.072 0.004 0.000 0.152
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.2706 0.6494 0.832 0.000 0.000 0.160 0.000 0.008
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.5075 -0.1652 0.480 0.000 0.000 0.064 0.452 0.004
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.0000 0.8556 0.000 0.000 1.000 0.000 0.000 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 6 0.3817 0.6425 0.120 0.000 0.052 0.020 0.004 0.804
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.9086 0.000 1.000 0.000 0.000 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.9086 0.000 1.000 0.000 0.000 0.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.4532 0.6022 0.660 0.000 0.000 0.028 0.292 0.020
#> 7822EA86-35A1-4285-9429-2B63111B9885 5 0.4771 0.5360 0.256 0.000 0.000 0.096 0.648 0.000
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#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.3833 0.1622 0.000 0.556 0.000 0.444 0.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 5 0.3493 0.6645 0.136 0.000 0.000 0.064 0.800 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 4 0.3647 0.4941 0.000 0.360 0.000 0.640 0.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 5 0.3991 0.2916 0.004 0.000 0.000 0.000 0.524 0.472
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 5 0.1088 0.7001 0.000 0.000 0.000 0.016 0.960 0.024
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 6 0.3217 0.6068 0.224 0.000 0.000 0.008 0.000 0.768
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.6045 0.2325 0.000 0.000 0.488 0.008 0.244 0.260
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.4683 0.6200 0.700 0.000 0.000 0.024 0.060 0.216
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.9086 0.000 1.000 0.000 0.000 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 5 0.5027 0.3039 0.000 0.000 0.340 0.004 0.580 0.076
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 6 0.2748 0.6199 0.024 0.000 0.000 0.000 0.128 0.848
#> D365A238-4739-4B54-9608-DC548F21C04E 5 0.3369 0.6957 0.040 0.000 0.000 0.028 0.836 0.096
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 6 0.3859 0.4493 0.000 0.000 0.288 0.000 0.020 0.692
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.3979 0.6044 0.720 0.244 0.000 0.032 0.000 0.004
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 5 0.5845 0.2641 0.164 0.000 0.000 0.004 0.436 0.396
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 6 0.4794 0.4659 0.056 0.000 0.004 0.000 0.344 0.596
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.3201 0.6559 0.000 0.000 0.780 0.000 0.208 0.012
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.5273 0.4782 0.604 0.212 0.000 0.184 0.000 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 6 0.5378 0.5613 0.160 0.000 0.116 0.036 0.008 0.680
#> CCDB0290-91DA-4089-84A6-4434BA028D30 6 0.1757 0.6569 0.008 0.000 0.076 0.000 0.000 0.916
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 6 0.1327 0.6558 0.000 0.000 0.000 0.000 0.064 0.936
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.9086 0.000 1.000 0.000 0.000 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 6 0.5593 0.3120 0.356 0.000 0.000 0.008 0.120 0.516
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 4 0.1910 0.7693 0.108 0.000 0.000 0.892 0.000 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 5 0.4191 0.4441 0.012 0.000 0.000 0.004 0.596 0.388
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 6 0.3435 0.6284 0.000 0.000 0.060 0.000 0.136 0.804
#> EFE5A302-D138-4044-A301-5C5FD1C24836 5 0.2572 0.6573 0.012 0.000 0.000 0.000 0.852 0.136
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.9086 0.000 1.000 0.000 0.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.5143 0.3383 0.560 0.000 0.012 0.364 0.000 0.064
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.2009 0.7964 0.008 0.000 0.904 0.004 0.000 0.084
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.4328 0.6019 0.716 0.000 0.000 0.192 0.000 0.092
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.2048 0.8190 0.000 0.880 0.000 0.120 0.000 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.4688 0.4032 0.020 0.000 0.608 0.012 0.352 0.008
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 4 0.4056 0.5930 0.064 0.000 0.000 0.748 0.184 0.004
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.5404 0.4086 0.580 0.000 0.000 0.000 0.184 0.236
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 5 0.1285 0.6936 0.000 0.000 0.000 0.004 0.944 0.052
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 4 0.1910 0.8541 0.000 0.108 0.000 0.892 0.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 6 0.5568 0.3311 0.360 0.000 0.000 0.008 0.116 0.516
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.1958 0.7817 0.100 0.004 0.000 0.896 0.000 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.1575 0.7138 0.936 0.000 0.000 0.032 0.000 0.032
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 6 0.3694 0.5353 0.000 0.000 0.232 0.000 0.028 0.740
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.6096 0.3103 0.264 0.000 0.552 0.044 0.000 0.140
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.4181 -0.0117 0.012 0.512 0.000 0.476 0.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 6 0.3847 0.4526 0.348 0.000 0.000 0.008 0.000 0.644
#> 6752EED9-7990-433F-A206-D5398C396471 6 0.4223 0.4531 0.060 0.000 0.000 0.000 0.236 0.704
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.2212 0.6749 0.880 0.000 0.000 0.008 0.000 0.112
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.8556 0.000 0.000 1.000 0.000 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.3302 0.6408 0.000 0.000 0.760 0.004 0.232 0.004
#> 1ABBEF80-508F-4247-B43D-3E549372113B 6 0.3534 0.5495 0.276 0.000 0.000 0.008 0.000 0.716
#> 835AAE7F-F873-4D11-8845-232D261A38DF 6 0.4406 0.4529 0.024 0.000 0.008 0.000 0.344 0.624
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.3730 0.7124 0.808 0.000 0.000 0.024 0.112 0.056
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.3563 0.4793 0.000 0.000 0.000 0.000 0.664 0.336
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9086 0.000 1.000 0.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9086 0.000 1.000 0.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.8556 0.000 0.000 1.000 0.000 0.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 6 0.3967 0.5334 0.316 0.000 0.000 0.008 0.008 0.668
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.5645 0.5257 0.144 0.000 0.000 0.016 0.580 0.260
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.3533 0.6837 0.820 0.000 0.000 0.016 0.104 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["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 17469 rows and 309 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 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 0.980 0.941 0.978 0.2521 0.755 0.755
#> 3 3 0.551 0.759 0.885 1.2370 0.670 0.567
#> 4 4 0.452 0.621 0.799 0.2114 0.808 0.597
#> 5 5 0.498 0.560 0.738 0.1084 0.817 0.500
#> 6 6 0.546 0.602 0.765 0.0357 0.954 0.805
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.0000 0.9832 1.000 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.0000 0.9832 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.0000 0.9832 1.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.9832 1.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.9832 1.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.9832 1.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.0000 0.9832 1.000 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9380 0.000 1.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.0000 0.9832 1.000 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.9832 1.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.9832 1.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.9832 1.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.0000 0.9832 1.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.9686 0.3931 0.396 0.604
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.0000 0.9832 1.000 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.0000 0.9832 1.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.0000 0.9832 1.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.9832 1.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.9832 1.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0000 0.9832 1.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9380 0.000 1.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.9832 1.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.9832 1.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.9832 1.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.0000 0.9832 1.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0000 0.9832 1.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.0000 0.9832 1.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0000 0.9832 1.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9380 0.000 1.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 1 0.9933 0.0964 0.548 0.452
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.9832 1.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.9832 1.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.9832 1.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.9832 1.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 1 0.0000 0.9832 1.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.0000 0.9832 1.000 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.0000 0.9832 1.000 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.9380 0.000 1.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.9832 1.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.9832 1.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.9380 0.000 1.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.0000 0.9832 1.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.0000 0.9832 1.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.9832 1.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.0000 0.9832 1.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0000 0.9832 1.000 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.9832 1.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9380 0.000 1.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.0000 0.9832 1.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.1843 0.9189 0.028 0.972
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.9832 1.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.9000 0.5722 0.316 0.684
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.0000 0.9832 1.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.0000 0.9832 1.000 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0000 0.9832 1.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.0000 0.9832 1.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 1 0.0000 0.9832 1.000 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.0000 0.9832 1.000 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 1 0.9977 0.0173 0.528 0.472
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.9832 1.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.9832 1.000 0.000
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#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0000 0.9832 1.000 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 1 0.9881 0.1545 0.564 0.436
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.9832 1.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.9832 1.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.9832 1.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.0000 0.9832 1.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.9832 1.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.9380 0.000 1.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.9832 1.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.9832 1.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0000 0.9832 1.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0000 0.9832 1.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0000 0.9832 1.000 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.9832 1.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0000 0.9832 1.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.0000 0.9832 1.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0000 0.9832 1.000 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0000 0.9832 1.000 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.0000 0.9832 1.000 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.9832 1.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.9380 0.000 1.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.9832 1.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.0000 0.9832 1.000 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.9832 1.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.9832 1.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.9832 1.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.9380 0.000 1.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.0000 0.9832 1.000 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 1 0.0000 0.9832 1.000 0.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.0000 0.9832 1.000 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 1 0.0000 0.9832 1.000 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.0000 0.9832 1.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.0000 0.9832 1.000 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.9832 1.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.9832 1.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.9833 0.3262 0.424 0.576
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.9832 1.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 1 0.0000 0.9832 1.000 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.9832 1.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.0000 0.9832 1.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.0000 0.9832 1.000 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.0000 0.9832 1.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.9832 1.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.9832 1.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.0000 0.9832 1.000 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.0000 0.9832 1.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.0000 0.9832 1.000 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.0000 0.9832 1.000 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.9832 1.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.9832 1.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.9832 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9380 0.000 1.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9380 0.000 1.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.0000 0.9832 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.9832 1.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.9832 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.9832 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.4504 0.7843 0.804 0.000 0.196
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.7880 0.000 0.000 1.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.4654 0.7104 0.208 0.000 0.792
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.8801 1.000 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.8801 1.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.1753 0.8758 0.952 0.000 0.048
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.5529 0.6022 0.704 0.000 0.296
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.8978 0.000 1.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.4399 0.7433 0.188 0.000 0.812
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.1163 0.8805 0.972 0.000 0.028
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.1411 0.8795 0.964 0.000 0.036
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.1031 0.8817 0.976 0.000 0.024
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0424 0.7898 0.008 0.000 0.992
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.7571 0.3840 0.356 0.592 0.052
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.2356 0.8709 0.928 0.000 0.072
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.7880 0.000 0.000 1.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.1289 0.7879 0.032 0.000 0.968
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.8801 1.000 0.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.1289 0.8795 0.968 0.000 0.032
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0000 0.7880 0.000 0.000 1.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.8978 0.000 1.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.1411 0.8790 0.964 0.000 0.036
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.8801 1.000 0.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0747 0.8825 0.984 0.000 0.016
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.7880 0.000 0.000 1.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 3 0.4121 0.7601 0.168 0.000 0.832
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.6180 0.2879 0.416 0.000 0.584
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.4399 0.7077 0.188 0.000 0.812
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.8978 0.000 1.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 1 0.7819 0.0660 0.508 0.440 0.052
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.8801 1.000 0.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.3619 0.8214 0.864 0.000 0.136
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.8801 1.000 0.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.2711 0.8624 0.912 0.000 0.088
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 1 0.3686 0.8253 0.860 0.000 0.140
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.4452 0.7424 0.808 0.000 0.192
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.2878 0.8680 0.904 0.000 0.096
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.8978 0.000 1.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0237 0.8811 0.996 0.000 0.004
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.1289 0.8745 0.968 0.000 0.032
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.8978 0.000 1.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0000 0.7880 0.000 0.000 1.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.6045 0.3210 0.380 0.000 0.620
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.8801 1.000 0.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.1964 0.7921 0.056 0.000 0.944
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 3 0.1643 0.7964 0.044 0.000 0.956
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.1289 0.8795 0.968 0.000 0.032
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.8978 0.000 1.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0892 0.7862 0.020 0.000 0.980
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.3295 0.8183 0.008 0.896 0.096
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.1411 0.8820 0.964 0.000 0.036
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.7388 0.6241 0.160 0.704 0.136
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.1529 0.7881 0.040 0.000 0.960
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.1643 0.8785 0.956 0.000 0.044
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.1411 0.8806 0.964 0.000 0.036
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.6295 0.0824 0.472 0.000 0.528
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0000 0.7880 0.000 0.000 1.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.1529 0.8809 0.960 0.000 0.040
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.8389 0.3275 0.372 0.536 0.092
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0424 0.8813 0.992 0.000 0.008
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.2165 0.8721 0.936 0.000 0.064
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.3879 0.8252 0.848 0.000 0.152
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.4654 0.7668 0.792 0.000 0.208
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.8801 1.000 0.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.8978 0.000 1.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.0000 0.7880 0.000 0.000 1.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.1163 0.8802 0.972 0.000 0.028
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 3 0.2878 0.7864 0.096 0.000 0.904
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0000 0.7880 0.000 0.000 1.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 1 0.6151 0.7353 0.764 0.180 0.056
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0237 0.8805 0.996 0.000 0.004
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 3 0.3192 0.7813 0.112 0.000 0.888
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.1031 0.7883 0.024 0.000 0.976
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0892 0.8817 0.980 0.000 0.020
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.0747 0.8822 0.984 0.000 0.016
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.5178 0.5516 0.744 0.000 0.256
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.1529 0.8810 0.960 0.000 0.040
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.8978 0.000 1.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.3686 0.7365 0.140 0.000 0.860
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.7627 0.2166 0.428 0.528 0.044
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.4750 0.7626 0.784 0.000 0.216
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.2165 0.7902 0.064 0.000 0.936
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 3 0.5431 0.6734 0.284 0.000 0.716
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0237 0.8807 0.996 0.000 0.004
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.8801 1.000 0.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.1860 0.8812 0.948 0.000 0.052
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.5431 0.6346 0.716 0.000 0.284
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 1 0.2356 0.8770 0.928 0.000 0.072
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0000 0.8978 0.000 1.000 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.0592 0.7875 0.012 0.000 0.988
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.6045 0.3003 0.620 0.000 0.380
#> D47D0936-826F-4D54-9225-F71B95357438 3 0.3038 0.7845 0.104 0.000 0.896
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 1 0.4002 0.8308 0.840 0.000 0.160
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.1163 0.7886 0.028 0.000 0.972
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.1289 0.8812 0.968 0.000 0.032
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.1031 0.8812 0.976 0.000 0.024
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.1643 0.8798 0.956 0.000 0.044
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.2066 0.8781 0.940 0.000 0.060
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.1753 0.8809 0.952 0.000 0.048
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.1289 0.7847 0.032 0.000 0.968
#> 00439565-02CE-4BF5-956D-7078B51C0947 1 0.2537 0.8682 0.920 0.000 0.080
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.8978 0.000 1.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.8978 0.000 1.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.0000 0.8801 1.000 0.000 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.1529 0.8804 0.960 0.000 0.040
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.8978 0.000 1.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 1 0.0747 0.8818 0.984 0.000 0.016
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.0000 0.7880 0.000 0.000 1.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 3 0.6008 0.5223 0.372 0.000 0.628
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 3 0.3816 0.7402 0.148 0.000 0.852
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.8978 0.000 1.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.2261 0.8776 0.932 0.000 0.068
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.5291 0.5807 0.268 0.000 0.732
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.6260 0.1507 0.448 0.000 0.552
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.1031 0.8826 0.976 0.000 0.024
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.2878 0.8533 0.904 0.000 0.096
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.1289 0.8795 0.968 0.000 0.032
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.2165 0.8776 0.936 0.000 0.064
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#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.5058 0.7317 0.756 0.000 0.244
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.1163 0.8806 0.972 0.000 0.028
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.1411 0.8795 0.964 0.000 0.036
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.1289 0.8795 0.968 0.000 0.032
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.1289 0.8797 0.968 0.000 0.032
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.1031 0.7896 0.024 0.000 0.976
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.1643 0.7946 0.044 0.000 0.956
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.1529 0.8796 0.960 0.000 0.040
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.6305 -0.0368 0.516 0.000 0.484
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.8801 1.000 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 3 0.6291 0.3518 0.468 0.000 0.532
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.8978 0.000 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.8978 0.000 1.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.6026 0.3483 0.376 0.000 0.624
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.1289 0.8797 0.968 0.000 0.032
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.1289 0.8795 0.968 0.000 0.032
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.8801 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.4365 0.6907 0.188 0.000 0.028 0.784
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.8103 0.000 0.000 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.6193 0.5394 0.180 0.000 0.672 0.148
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.2589 0.7014 0.884 0.000 0.000 0.116
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.2081 0.7086 0.916 0.000 0.000 0.084
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.1888 0.6775 0.940 0.000 0.016 0.044
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.6916 0.5164 0.588 0.000 0.236 0.176
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.8976 0.000 1.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.6121 0.5098 0.352 0.000 0.588 0.060
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.4103 0.6410 0.744 0.000 0.000 0.256
#> B710293C-41D3-4A2E-8104-5402F91DD859 4 0.4804 0.4907 0.384 0.000 0.000 0.616
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.4817 0.4146 0.612 0.000 0.000 0.388
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.8103 0.000 0.000 1.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.4595 0.5109 0.040 0.184 0.000 0.776
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.5318 0.6606 0.732 0.000 0.072 0.196
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.8103 0.000 0.000 1.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0000 0.8103 0.000 0.000 1.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.2589 0.7004 0.884 0.000 0.000 0.116
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0817 0.6926 0.976 0.000 0.000 0.024
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0188 0.8092 0.000 0.000 0.996 0.004
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.8976 0.000 1.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.2741 0.7117 0.892 0.000 0.012 0.096
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.6976 1.000 0.000 0.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.3356 0.6948 0.824 0.000 0.000 0.176
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.8103 0.000 0.000 1.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 3 0.5141 0.6542 0.268 0.000 0.700 0.032
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.4585 0.4133 0.332 0.000 0.668 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.5962 0.5990 0.260 0.000 0.660 0.080
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.8976 0.000 1.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.7617 -0.0380 0.216 0.452 0.000 0.332
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.1716 0.7118 0.936 0.000 0.000 0.064
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 4 0.6202 0.5618 0.312 0.000 0.076 0.612
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.2530 0.7010 0.888 0.000 0.000 0.112
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.4057 0.7049 0.816 0.000 0.032 0.152
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 1 0.5773 0.5353 0.632 0.000 0.048 0.320
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.6224 0.6107 0.668 0.000 0.144 0.188
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.5559 0.6496 0.696 0.000 0.064 0.240
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.8976 0.000 1.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0804 0.7030 0.980 0.000 0.012 0.008
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0188 0.6979 0.996 0.000 0.004 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.3873 0.7139 0.000 0.772 0.000 0.228
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0000 0.8103 0.000 0.000 1.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.4744 0.5039 0.284 0.000 0.704 0.012
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.4866 0.3062 0.596 0.000 0.000 0.404
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.2670 0.7833 0.072 0.000 0.904 0.024
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 3 0.4706 0.7356 0.140 0.000 0.788 0.072
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.1637 0.6928 0.940 0.000 0.000 0.060
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.8976 0.000 1.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0000 0.8103 0.000 0.000 1.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.4761 0.6059 0.000 0.628 0.000 0.372
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 4 0.4643 0.5588 0.344 0.000 0.000 0.656
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.5334 0.5208 0.008 0.588 0.004 0.400
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0000 0.8103 0.000 0.000 1.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.4955 0.6160 0.708 0.000 0.024 0.268
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.3991 0.6889 0.808 0.000 0.020 0.172
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.6249 0.2571 0.336 0.000 0.592 0.072
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0000 0.8103 0.000 0.000 1.000 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 4 0.4643 0.5555 0.344 0.000 0.000 0.656
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.7812 0.1725 0.216 0.520 0.016 0.248
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.1022 0.6879 0.968 0.000 0.000 0.032
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.2256 0.6813 0.924 0.000 0.020 0.056
#> 09758B6F-1B2D-4AED-8913-696097069409 4 0.4253 0.6817 0.208 0.000 0.016 0.776
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.6991 0.4955 0.580 0.000 0.232 0.188
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.2760 0.7015 0.872 0.000 0.000 0.128
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.8976 0.000 1.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.0000 0.8103 0.000 0.000 1.000 0.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.4164 0.5649 0.736 0.000 0.000 0.264
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 3 0.4387 0.7235 0.200 0.000 0.776 0.024
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0000 0.8103 0.000 0.000 1.000 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 4 0.3652 0.6757 0.052 0.092 0.000 0.856
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0000 0.6976 1.000 0.000 0.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 3 0.4706 0.7013 0.224 0.000 0.748 0.028
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.0000 0.8103 0.000 0.000 1.000 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.3172 0.7081 0.840 0.000 0.000 0.160
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.4585 0.4745 0.668 0.000 0.000 0.332
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.4669 0.4703 0.764 0.000 0.200 0.036
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.3144 0.6934 0.884 0.000 0.044 0.072
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.8976 0.000 1.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.2859 0.7417 0.112 0.000 0.880 0.008
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.2654 0.5432 0.004 0.108 0.000 0.888
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.6416 0.6070 0.648 0.000 0.152 0.200
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.6013 0.6545 0.196 0.000 0.684 0.120
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.5937 -0.2307 0.492 0.000 0.472 0.036
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0817 0.7013 0.976 0.000 0.000 0.024
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.6976 1.000 0.000 0.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 4 0.3751 0.7017 0.196 0.000 0.004 0.800
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.6809 0.4325 0.552 0.000 0.332 0.116
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 4 0.4372 0.5829 0.268 0.000 0.004 0.728
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.2589 0.8372 0.000 0.884 0.000 0.116
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.0336 0.8092 0.008 0.000 0.992 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.6698 0.4594 0.604 0.000 0.256 0.140
#> D47D0936-826F-4D54-9225-F71B95357438 3 0.3383 0.7702 0.076 0.000 0.872 0.052
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 4 0.1970 0.7085 0.060 0.000 0.008 0.932
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.0000 0.8103 0.000 0.000 1.000 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 4 0.4961 0.3427 0.448 0.000 0.000 0.552
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.2589 0.7014 0.884 0.000 0.000 0.116
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.4889 0.5517 0.636 0.000 0.004 0.360
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 4 0.3649 0.6932 0.204 0.000 0.000 0.796
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 4 0.4855 0.5497 0.400 0.000 0.000 0.600
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.0000 0.8103 0.000 0.000 1.000 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 1 0.3224 0.6791 0.864 0.000 0.016 0.120
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.8976 0.000 1.000 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.8976 0.000 1.000 0.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.3172 0.7012 0.840 0.000 0.000 0.160
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.3105 0.6522 0.856 0.000 0.004 0.140
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.8976 0.000 1.000 0.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 4 0.4008 0.6756 0.244 0.000 0.000 0.756
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.0000 0.8103 0.000 0.000 1.000 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.6392 -0.1990 0.484 0.000 0.452 0.064
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 4 0.4804 0.4842 0.016 0.000 0.276 0.708
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.8976 0.000 1.000 0.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 4 0.3831 0.6850 0.204 0.000 0.004 0.792
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.4123 0.6180 0.220 0.000 0.772 0.008
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.5920 0.3062 0.336 0.000 0.612 0.052
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.3597 0.6987 0.836 0.000 0.016 0.148
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.3301 0.7015 0.876 0.000 0.048 0.076
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.1302 0.6837 0.956 0.000 0.000 0.044
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 4 0.4103 0.6562 0.256 0.000 0.000 0.744
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.3900 0.6953 0.816 0.000 0.020 0.164
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.4098 0.6946 0.784 0.000 0.012 0.204
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.5297 0.3459 0.676 0.000 0.292 0.032
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.0336 0.6965 0.992 0.000 0.000 0.008
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 1 0.6178 0.6004 0.660 0.000 0.112 0.228
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.3074 0.7025 0.848 0.000 0.000 0.152
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 4 0.4037 0.7190 0.112 0.000 0.056 0.832
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 4 0.6039 0.3057 0.348 0.000 0.056 0.596
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 1 0.4428 0.5932 0.720 0.000 0.004 0.276
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.2589 0.7004 0.884 0.000 0.000 0.116
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 1 0.6295 0.2984 0.580 0.000 0.348 0.072
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 1 0.3156 0.6701 0.884 0.000 0.068 0.048
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 4 0.3528 0.7021 0.192 0.000 0.000 0.808
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.1792 0.7102 0.932 0.000 0.000 0.068
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.0000 0.8976 0.000 1.000 0.000 0.000
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 3 0.3958 0.7531 0.144 0.000 0.824 0.032
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 3 0.8944 0.3861 0.184 0.144 0.500 0.172
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0000 0.8976 0.000 1.000 0.000 0.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.4250 0.6181 0.724 0.000 0.000 0.276
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0000 0.8976 0.000 1.000 0.000 0.000
#> 9492A322-37CA-4582-AC68-66B5D80778AF 4 0.3585 0.5420 0.004 0.004 0.164 0.828
#> 993399A4-1B9F-4258-B2D0-155AD58A2E82 1 0.3569 0.6600 0.804 0.000 0.000 0.196
#> 7B7DC93D-5494-4E69-BE07-2967887182F9 1 0.1302 0.6837 0.956 0.000 0.000 0.044
#> 29BCBA51-2580-473D-9CF7-BEDBD0DBAD1B 4 0.2007 0.6573 0.036 0.020 0.004 0.940
#> 40855647-E942-4F32-90B7-BEB921929BFB 1 0.6547 0.5139 0.616 0.000 0.260 0.124
#> 0DC723D0-7C68-4495-A4B9-2DF2FF19AB14 4 0.1807 0.7073 0.052 0.000 0.008 0.940
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#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.2868 0.6989 0.864 0.000 0.000 0.136
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.5441 -0.3632 0.536 0.000 0.008 0.412 0.044
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.8054 0.000 0.000 1.000 0.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.5318 0.0570 0.460 0.000 0.496 0.004 0.040
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.3684 0.6325 0.720 0.000 0.000 0.000 0.280
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.4201 0.4578 0.592 0.000 0.000 0.000 0.408
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.0880 0.7004 0.032 0.000 0.000 0.000 0.968
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.4893 0.5711 0.704 0.000 0.208 0.000 0.088
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.8639 0.000 1.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.4208 0.5792 0.016 0.000 0.204 0.020 0.760
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.2361 0.6916 0.892 0.000 0.000 0.012 0.096
#> B710293C-41D3-4A2E-8104-5402F91DD859 4 0.6786 0.2274 0.292 0.000 0.000 0.384 0.324
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.4216 0.5546 0.780 0.000 0.000 0.120 0.100
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.8054 0.000 0.000 1.000 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.5052 0.6350 0.156 0.084 0.000 0.736 0.024
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.3339 0.6796 0.840 0.000 0.048 0.000 0.112
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.8054 0.000 0.000 1.000 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0000 0.8054 0.000 0.000 1.000 0.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.3707 0.6375 0.716 0.000 0.000 0.000 0.284
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.1478 0.7018 0.064 0.000 0.000 0.000 0.936
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0162 0.8041 0.004 0.000 0.996 0.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.8639 0.000 1.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 5 0.4655 -0.1612 0.476 0.000 0.012 0.000 0.512
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 5 0.3048 0.6636 0.176 0.000 0.000 0.004 0.820
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.3424 0.6698 0.760 0.000 0.000 0.000 0.240
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.8054 0.000 0.000 1.000 0.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 5 0.4980 0.2583 0.036 0.000 0.380 0.000 0.584
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.2806 0.6943 0.152 0.000 0.844 0.000 0.004
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.6337 0.2603 0.192 0.000 0.512 0.000 0.296
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0162 0.8625 0.000 0.996 0.000 0.004 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.7303 0.0628 0.356 0.444 0.000 0.136 0.064
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 5 0.4321 0.2026 0.396 0.000 0.000 0.004 0.600
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 4 0.7800 0.3330 0.256 0.000 0.064 0.372 0.308
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.3876 0.6103 0.684 0.000 0.000 0.000 0.316
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.4651 0.5997 0.608 0.000 0.020 0.000 0.372
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 1 0.2758 0.6531 0.888 0.000 0.024 0.012 0.076
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.4149 0.6678 0.784 0.000 0.088 0.000 0.128
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.4100 0.6723 0.792 0.000 0.052 0.008 0.148
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.8639 0.000 1.000 0.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 5 0.2929 0.6905 0.152 0.000 0.008 0.000 0.840
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 5 0.2424 0.6866 0.132 0.000 0.000 0.000 0.868
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.3661 0.6189 0.000 0.724 0.000 0.276 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0000 0.8054 0.000 0.000 1.000 0.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.2464 0.7387 0.096 0.000 0.888 0.016 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.4835 0.5660 0.724 0.000 0.000 0.156 0.120
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.2424 0.7345 0.000 0.000 0.868 0.000 0.132
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 3 0.5685 0.2340 0.084 0.000 0.520 0.000 0.396
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 5 0.2471 0.6332 0.136 0.000 0.000 0.000 0.864
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.8639 0.000 1.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0000 0.8054 0.000 0.000 1.000 0.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.4380 -0.2471 0.008 0.376 0.000 0.616 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 4 0.6695 0.2195 0.368 0.000 0.000 0.392 0.240
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.5503 0.4111 0.024 0.484 0.000 0.468 0.024
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0000 0.8054 0.000 0.000 1.000 0.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.2046 0.6770 0.916 0.000 0.016 0.000 0.068
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.3391 0.6791 0.800 0.000 0.012 0.000 0.188
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.4084 0.4294 0.328 0.000 0.668 0.000 0.004
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.1270 0.7836 0.000 0.000 0.948 0.000 0.052
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 4 0.6224 0.4846 0.152 0.000 0.000 0.496 0.352
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.6936 0.1110 0.368 0.464 0.008 0.020 0.140
#> A22892DE-0AF4-4B63-9513-1D6825059040 5 0.3074 0.6356 0.196 0.000 0.000 0.000 0.804
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.2280 0.6830 0.120 0.000 0.000 0.000 0.880
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.5345 -0.3397 0.540 0.000 0.000 0.404 0.056
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.5882 0.4787 0.588 0.000 0.148 0.000 0.264
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.3949 0.5974 0.668 0.000 0.000 0.000 0.332
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.8639 0.000 1.000 0.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.0000 0.8054 0.000 0.000 1.000 0.000 0.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.5379 0.5906 0.648 0.000 0.000 0.108 0.244
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 3 0.4443 0.1843 0.004 0.000 0.524 0.000 0.472
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0000 0.8054 0.000 0.000 1.000 0.000 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 4 0.6024 0.6474 0.216 0.104 0.000 0.644 0.036
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 5 0.3395 0.6119 0.236 0.000 0.000 0.000 0.764
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 3 0.4891 0.1128 0.016 0.000 0.500 0.004 0.480
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.0000 0.8054 0.000 0.000 1.000 0.000 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 5 0.4650 -0.3128 0.468 0.000 0.000 0.012 0.520
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.6211 0.3553 0.544 0.000 0.000 0.264 0.192
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 5 0.2130 0.7014 0.080 0.000 0.012 0.000 0.908
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 5 0.4019 0.6728 0.152 0.000 0.052 0.004 0.792
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.8639 0.000 1.000 0.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.1444 0.7866 0.040 0.000 0.948 0.000 0.012
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.0703 0.5934 0.024 0.000 0.000 0.976 0.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.5562 0.5237 0.604 0.000 0.100 0.000 0.296
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 5 0.5608 0.4769 0.116 0.000 0.224 0.008 0.652
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 5 0.3164 0.6923 0.104 0.000 0.044 0.000 0.852
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 5 0.3883 0.5524 0.244 0.000 0.004 0.008 0.744
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 5 0.2798 0.6868 0.140 0.000 0.000 0.008 0.852
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 4 0.5986 0.5987 0.336 0.000 0.004 0.548 0.112
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.4716 0.4946 0.656 0.000 0.308 0.000 0.036
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 1 0.4774 -0.3090 0.556 0.000 0.000 0.424 0.020
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.3480 0.6705 0.000 0.752 0.000 0.248 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.0510 0.8009 0.000 0.000 0.984 0.000 0.016
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.5915 0.3556 0.552 0.000 0.124 0.000 0.324
#> D47D0936-826F-4D54-9225-F71B95357438 3 0.3506 0.7160 0.064 0.000 0.832 0.000 0.104
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 4 0.4798 0.6067 0.272 0.000 0.008 0.684 0.036
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.0000 0.8054 0.000 0.000 1.000 0.000 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 5 0.6734 -0.2273 0.292 0.000 0.000 0.292 0.416
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.4161 0.5534 0.608 0.000 0.000 0.000 0.392
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.2583 0.6445 0.864 0.000 0.000 0.004 0.132
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 4 0.5330 0.5732 0.396 0.000 0.000 0.548 0.056
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 5 0.4269 0.5704 0.188 0.000 0.000 0.056 0.756
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.0000 0.8054 0.000 0.000 1.000 0.000 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 5 0.4483 0.5865 0.308 0.000 0.012 0.008 0.672
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.8639 0.000 1.000 0.000 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.8639 0.000 1.000 0.000 0.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.4491 0.6230 0.652 0.000 0.000 0.020 0.328
#> 7822EA86-35A1-4285-9429-2B63111B9885 5 0.3521 0.5810 0.232 0.000 0.004 0.000 0.764
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.8639 0.000 1.000 0.000 0.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 1 0.6269 -0.3160 0.444 0.000 0.000 0.408 0.148
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.0000 0.8054 0.000 0.000 1.000 0.000 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 5 0.1918 0.6982 0.036 0.000 0.036 0.000 0.928
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 4 0.7510 0.6105 0.212 0.000 0.160 0.516 0.112
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.8639 0.000 1.000 0.000 0.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.6363 -0.4204 0.468 0.000 0.004 0.384 0.144
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.2754 0.7393 0.080 0.000 0.880 0.000 0.040
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.5417 0.4848 0.236 0.000 0.648 0.000 0.116
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.3863 0.6608 0.740 0.000 0.012 0.000 0.248
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 5 0.4248 0.4831 0.240 0.000 0.032 0.000 0.728
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 5 0.0162 0.7015 0.004 0.000 0.000 0.000 0.996
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.6336 -0.3719 0.468 0.000 0.000 0.368 0.164
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.3916 0.6502 0.732 0.000 0.012 0.000 0.256
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.3809 0.6678 0.736 0.000 0.008 0.000 0.256
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 5 0.3224 0.6588 0.160 0.000 0.016 0.000 0.824
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 5 0.2773 0.6716 0.164 0.000 0.000 0.000 0.836
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 1 0.3362 0.6656 0.844 0.000 0.080 0.000 0.076
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.4147 0.6272 0.676 0.000 0.000 0.008 0.316
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 4 0.6523 0.6527 0.288 0.000 0.064 0.572 0.076
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 1 0.6574 -0.0496 0.564 0.000 0.040 0.280 0.116
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 1 0.4641 0.0209 0.532 0.000 0.000 0.012 0.456
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.3928 0.6375 0.700 0.000 0.000 0.004 0.296
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 5 0.4779 0.6216 0.096 0.000 0.164 0.004 0.736
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 5 0.3596 0.6365 0.200 0.000 0.016 0.000 0.784
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 4 0.6016 0.6106 0.312 0.000 0.000 0.548 0.140
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 5 0.4287 -0.1385 0.460 0.000 0.000 0.000 0.540
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.0000 0.8639 0.000 1.000 0.000 0.000 0.000
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 3 0.4574 0.3114 0.012 0.000 0.576 0.000 0.412
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 5 0.8978 0.0417 0.188 0.236 0.276 0.020 0.280
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0000 0.8639 0.000 1.000 0.000 0.000 0.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.3134 0.6878 0.848 0.000 0.000 0.032 0.120
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0000 0.8639 0.000 1.000 0.000 0.000 0.000
#> 9492A322-37CA-4582-AC68-66B5D80778AF 4 0.4694 0.5559 0.032 0.016 0.140 0.780 0.032
#> 993399A4-1B9F-4258-B2D0-155AD58A2E82 1 0.4885 0.6343 0.668 0.000 0.000 0.056 0.276
#> 7B7DC93D-5494-4E69-BE07-2967887182F9 5 0.0703 0.7054 0.024 0.000 0.000 0.000 0.976
#> 29BCBA51-2580-473D-9CF7-BEDBD0DBAD1B 4 0.2988 0.6057 0.072 0.024 0.000 0.880 0.024
#> 40855647-E942-4F32-90B7-BEB921929BFB 1 0.6369 0.4520 0.544 0.000 0.216 0.004 0.236
#> 0DC723D0-7C68-4495-A4B9-2DF2FF19AB14 4 0.4675 0.6737 0.248 0.000 0.004 0.704 0.044
#> 7540005F-57E0-4E2E-A8A2-BEF2B0F333B1 2 0.7166 0.2698 0.240 0.476 0.000 0.252 0.032
#> EB1DDB14-4076-4C2C-B911-390C17C21486 5 0.2777 0.7062 0.120 0.000 0.016 0.000 0.864
#> 9EA70EC4-8BA0-4E3D-B3CB-A68D19E89868 4 0.5700 0.6098 0.380 0.000 0.000 0.532 0.088
#> B04E2E50-0A6E-4224-A825-1714D12E5669 2 0.4227 0.2012 0.000 0.580 0.000 0.000 0.420
#> B0BF5E01-536D-40FF-9C24-CBBD611E2FC2 5 0.0290 0.7023 0.008 0.000 0.000 0.000 0.992
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#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.8639 0.000 1.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.2127 0.7353 0.108 0.000 0.892 0.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.1732 0.6808 0.920 0.000 0.000 0.000 0.080
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.1197 0.7048 0.048 0.000 0.000 0.000 0.952
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.4206 0.6409 0.696 0.000 0.000 0.016 0.288
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.4844 0.57791 0.328 0.000 0.004 0.616 0.040 0.012
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.79241 0.000 0.000 1.000 0.000 0.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.5019 -0.02837 0.468 0.000 0.476 0.012 0.044 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.2300 0.72256 0.856 0.000 0.000 0.000 0.144 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.3515 0.55025 0.676 0.000 0.000 0.000 0.324 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.2179 0.71161 0.036 0.000 0.000 0.064 0.900 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.3604 0.60636 0.788 0.000 0.168 0.036 0.008 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.83660 0.000 1.000 0.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.3985 0.63751 0.016 0.000 0.136 0.068 0.780 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.1668 0.72156 0.928 0.000 0.000 0.060 0.008 0.004
#> B710293C-41D3-4A2E-8104-5402F91DD859 4 0.5682 0.53209 0.224 0.000 0.000 0.528 0.248 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.4454 0.52755 0.684 0.000 0.000 0.252 0.060 0.004
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.79241 0.000 0.000 1.000 0.000 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.3141 0.34619 0.012 0.020 0.000 0.828 0.000 0.140
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.1353 0.71493 0.952 0.000 0.012 0.024 0.012 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0260 0.79115 0.000 0.000 0.992 0.008 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0146 0.79133 0.000 0.000 0.996 0.000 0.004 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.3231 0.72397 0.784 0.000 0.000 0.016 0.200 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.1572 0.71920 0.028 0.000 0.000 0.036 0.936 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0146 0.79191 0.004 0.000 0.996 0.000 0.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.83660 0.000 1.000 0.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.3684 0.36314 0.628 0.000 0.000 0.000 0.372 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 5 0.3834 0.69423 0.232 0.000 0.000 0.036 0.732 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.3424 0.71043 0.772 0.000 0.000 0.024 0.204 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.79241 0.000 0.000 1.000 0.000 0.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 5 0.4664 0.30357 0.052 0.000 0.364 0.000 0.584 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.2631 0.67844 0.152 0.000 0.840 0.008 0.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.5922 0.24095 0.192 0.000 0.504 0.008 0.296 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0291 0.83277 0.000 0.992 0.000 0.004 0.000 0.004
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.6965 0.11715 0.164 0.424 0.000 0.348 0.032 0.032
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 5 0.4815 0.23768 0.384 0.000 0.000 0.060 0.556 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 4 0.6101 0.55646 0.148 0.000 0.036 0.536 0.280 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.3050 0.70429 0.764 0.000 0.000 0.000 0.236 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.4113 0.69126 0.712 0.000 0.000 0.040 0.244 0.004
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 1 0.2401 0.69454 0.892 0.000 0.016 0.076 0.016 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.2070 0.72382 0.908 0.000 0.048 0.000 0.044 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.3346 0.68723 0.840 0.000 0.024 0.056 0.080 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.83660 0.000 1.000 0.000 0.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 5 0.2558 0.73901 0.156 0.000 0.004 0.000 0.840 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 5 0.2915 0.73582 0.164 0.000 0.004 0.004 0.824 0.004
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.5071 0.40966 0.000 0.632 0.000 0.212 0.000 0.156
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0260 0.79115 0.000 0.000 0.992 0.008 0.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.2355 0.71324 0.112 0.000 0.876 0.008 0.000 0.004
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.4706 0.52183 0.652 0.000 0.000 0.284 0.052 0.012
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.2913 0.71578 0.000 0.000 0.848 0.032 0.116 0.004
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 3 0.5433 0.16643 0.076 0.000 0.504 0.016 0.404 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 5 0.2999 0.68190 0.112 0.000 0.000 0.048 0.840 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.83660 0.000 1.000 0.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0000 0.79241 0.000 0.000 1.000 0.000 0.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 6 0.2854 0.73423 0.000 0.000 0.000 0.208 0.000 0.792
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 4 0.5715 0.51684 0.284 0.000 0.000 0.532 0.180 0.004
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 6 0.5820 0.11423 0.000 0.400 0.000 0.184 0.000 0.416
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0653 0.78762 0.000 0.000 0.980 0.012 0.004 0.004
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.0858 0.71032 0.968 0.000 0.000 0.028 0.004 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.1267 0.73115 0.940 0.000 0.000 0.000 0.060 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.3867 0.42533 0.328 0.000 0.660 0.012 0.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.1204 0.76834 0.000 0.000 0.944 0.000 0.056 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 4 0.5953 0.53488 0.100 0.000 0.000 0.536 0.320 0.044
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.6320 0.16263 0.356 0.476 0.000 0.104 0.064 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 5 0.3653 0.61762 0.300 0.000 0.000 0.008 0.692 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.3558 0.68513 0.212 0.000 0.000 0.028 0.760 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 4 0.4504 0.58656 0.296 0.000 0.000 0.652 0.048 0.004
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.5383 0.54464 0.600 0.000 0.104 0.016 0.280 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.3221 0.67773 0.736 0.000 0.000 0.000 0.264 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.83660 0.000 1.000 0.000 0.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.0260 0.79115 0.000 0.000 0.992 0.008 0.000 0.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.5150 0.58174 0.624 0.000 0.000 0.188 0.188 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 3 0.4705 0.12697 0.016 0.000 0.504 0.012 0.464 0.004
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0260 0.79115 0.000 0.000 0.992 0.008 0.000 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 4 0.3103 0.39060 0.024 0.044 0.000 0.856 0.000 0.076
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 5 0.3515 0.61184 0.324 0.000 0.000 0.000 0.676 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 3 0.5070 0.09546 0.024 0.000 0.488 0.024 0.460 0.004
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.0653 0.78762 0.000 0.000 0.980 0.012 0.004 0.004
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.4700 0.30508 0.500 0.000 0.000 0.044 0.456 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.6514 0.44659 0.544 0.000 0.000 0.208 0.156 0.092
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 5 0.3705 0.71978 0.124 0.000 0.008 0.060 0.804 0.004
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 5 0.4787 0.69144 0.216 0.000 0.040 0.048 0.696 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.83660 0.000 1.000 0.000 0.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.1692 0.77008 0.048 0.000 0.932 0.008 0.012 0.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 6 0.1196 0.75816 0.008 0.000 0.000 0.040 0.000 0.952
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.5127 0.59174 0.644 0.000 0.096 0.016 0.244 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 5 0.5095 0.58951 0.112 0.000 0.160 0.036 0.692 0.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 5 0.3686 0.69185 0.220 0.000 0.032 0.000 0.748 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 5 0.4064 0.63081 0.236 0.000 0.000 0.040 0.720 0.004
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 5 0.2946 0.73252 0.176 0.000 0.000 0.012 0.812 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 4 0.5887 0.61310 0.196 0.000 0.000 0.620 0.092 0.092
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.3725 0.50028 0.676 0.000 0.316 0.000 0.008 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 4 0.4050 0.42317 0.236 0.000 0.000 0.716 0.000 0.048
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.3744 0.63020 0.000 0.764 0.000 0.184 0.000 0.052
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.0458 0.78948 0.000 0.000 0.984 0.000 0.016 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.4707 0.46178 0.672 0.000 0.112 0.000 0.216 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 3 0.3370 0.70473 0.072 0.000 0.828 0.008 0.092 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 4 0.5268 0.32605 0.084 0.000 0.004 0.656 0.028 0.228
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.0000 0.79241 0.000 0.000 1.000 0.000 0.000 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 5 0.5887 -0.37757 0.200 0.000 0.000 0.396 0.404 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.3905 0.64920 0.668 0.000 0.000 0.016 0.316 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.2571 0.68150 0.876 0.000 0.000 0.064 0.060 0.000
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 4 0.5752 0.59830 0.196 0.000 0.000 0.624 0.052 0.128
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 5 0.4149 0.59073 0.064 0.000 0.000 0.216 0.720 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.0260 0.79115 0.000 0.000 0.992 0.008 0.000 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 5 0.4289 0.65040 0.256 0.000 0.008 0.040 0.696 0.000
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.83660 0.000 1.000 0.000 0.000 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.83660 0.000 1.000 0.000 0.000 0.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.4051 0.70125 0.756 0.000 0.000 0.076 0.164 0.004
#> 7822EA86-35A1-4285-9429-2B63111B9885 5 0.3506 0.65437 0.156 0.000 0.000 0.052 0.792 0.000
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.83660 0.000 1.000 0.000 0.000 0.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 4 0.4925 0.59680 0.256 0.000 0.000 0.648 0.088 0.008
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.0000 0.79241 0.000 0.000 1.000 0.000 0.000 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 5 0.2151 0.72080 0.024 0.000 0.016 0.048 0.912 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 4 0.7306 0.46020 0.148 0.000 0.168 0.532 0.084 0.068
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.83660 0.000 1.000 0.000 0.000 0.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 4 0.5333 0.59706 0.300 0.000 0.004 0.576 0.120 0.000
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.2309 0.73140 0.084 0.000 0.888 0.000 0.028 0.000
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.5242 0.46532 0.236 0.000 0.636 0.008 0.116 0.004
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.2362 0.73894 0.860 0.000 0.000 0.004 0.136 0.000
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 5 0.4047 0.53690 0.244 0.000 0.016 0.020 0.720 0.000
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 5 0.1418 0.72583 0.024 0.000 0.000 0.032 0.944 0.000
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 4 0.5378 0.59369 0.304 0.000 0.000 0.556 0.140 0.000
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.2613 0.73324 0.848 0.000 0.000 0.012 0.140 0.000
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.2146 0.72761 0.880 0.000 0.000 0.004 0.116 0.000
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 5 0.4075 0.67081 0.228 0.000 0.012 0.024 0.732 0.004
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 5 0.3136 0.69272 0.228 0.000 0.000 0.004 0.768 0.000
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 1 0.1890 0.71138 0.924 0.000 0.044 0.024 0.008 0.000
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.3284 0.72077 0.800 0.000 0.000 0.032 0.168 0.000
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 4 0.5974 0.46425 0.076 0.000 0.048 0.616 0.024 0.236
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 1 0.6034 -0.09660 0.500 0.000 0.020 0.364 0.104 0.012
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 1 0.5029 0.07189 0.524 0.000 0.000 0.076 0.400 0.000
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.3178 0.72319 0.804 0.000 0.000 0.016 0.176 0.004
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 5 0.4008 0.68378 0.056 0.000 0.124 0.032 0.788 0.000
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 5 0.3464 0.61724 0.312 0.000 0.000 0.000 0.688 0.000
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 4 0.5680 0.52139 0.092 0.000 0.000 0.624 0.060 0.224
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 5 0.4258 -0.08608 0.468 0.000 0.000 0.016 0.516 0.000
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.0000 0.83660 0.000 1.000 0.000 0.000 0.000 0.000
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 3 0.4361 0.23089 0.024 0.000 0.552 0.000 0.424 0.000
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.8471 -0.00785 0.160 0.324 0.244 0.076 0.196 0.000
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0000 0.83660 0.000 1.000 0.000 0.000 0.000 0.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.3309 0.70775 0.824 0.000 0.000 0.116 0.056 0.004
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#> EA3A19E1-7ADE-47B6-A35A-71290967147A 4 0.5303 0.62214 0.232 0.000 0.000 0.596 0.172 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 5 0.3815 0.66808 0.036 0.000 0.144 0.028 0.792 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 4 0.7061 0.57083 0.128 0.000 0.056 0.560 0.164 0.092
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.3917 0.65817 0.692 0.000 0.000 0.024 0.284 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 5 0.3485 0.74603 0.096 0.000 0.052 0.024 0.828 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 4 0.2703 0.32973 0.004 0.000 0.000 0.824 0.000 0.172
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.2260 0.72747 0.860 0.000 0.000 0.000 0.140 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 6 0.3727 0.61243 0.128 0.000 0.000 0.088 0.000 0.784
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 4 0.5276 0.54128 0.316 0.000 0.012 0.592 0.076 0.004
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 5 0.4316 0.64961 0.140 0.000 0.072 0.028 0.760 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.4864 0.59241 0.732 0.000 0.076 0.080 0.112 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.2798 0.70740 0.852 0.000 0.000 0.112 0.036 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.1074 0.71187 0.960 0.000 0.000 0.028 0.012 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 5 0.1610 0.74274 0.084 0.000 0.000 0.000 0.916 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.2212 0.68481 0.880 0.000 0.000 0.112 0.008 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.79241 0.000 0.000 1.000 0.000 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.4262 0.25827 0.004 0.000 0.560 0.012 0.424 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.1442 0.70554 0.944 0.000 0.004 0.040 0.012 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 5 0.6433 0.28876 0.264 0.000 0.228 0.024 0.480 0.004
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.3002 0.72457 0.848 0.000 0.000 0.048 0.100 0.004
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.2501 0.74600 0.072 0.000 0.028 0.012 0.888 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.83660 0.000 1.000 0.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.83660 0.000 1.000 0.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.2243 0.71517 0.112 0.000 0.880 0.004 0.004 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.1088 0.71836 0.960 0.000 0.000 0.024 0.016 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.2651 0.73433 0.112 0.000 0.000 0.028 0.860 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.3344 0.71410 0.804 0.000 0.000 0.044 0.152 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["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 17469 rows and 309 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 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 0.979 0.949 0.979 0.4212 0.583 0.583
#> 3 3 0.590 0.569 0.815 0.4974 0.800 0.661
#> 4 4 0.465 0.518 0.718 0.0905 0.748 0.465
#> 5 5 0.500 0.338 0.634 0.0888 0.746 0.372
#> 6 6 0.558 0.413 0.692 0.0584 0.804 0.390
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.2603 0.937830 0.044 0.956
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.0000 0.980574 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.0376 0.978073 0.996 0.004
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.980574 1.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.980574 1.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.980574 1.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.9129 0.508995 0.672 0.328
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.972747 0.000 1.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.0000 0.980574 1.000 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.980574 1.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.980574 1.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.3584 0.913785 0.932 0.068
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.0376 0.978073 0.996 0.004
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.972747 0.000 1.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.0000 0.980574 1.000 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.0376 0.978073 0.996 0.004
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.0000 0.980574 1.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.980574 1.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.980574 1.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0000 0.980574 1.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.972747 0.000 1.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.980574 1.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.980574 1.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.980574 1.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.0376 0.978073 0.996 0.004
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0000 0.980574 1.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.0376 0.978073 0.996 0.004
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0000 0.980574 1.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.972747 0.000 1.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.972747 0.000 1.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.980574 1.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.980574 1.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.980574 1.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.980574 1.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.972747 0.000 1.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.0376 0.978073 0.996 0.004
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.0000 0.980574 1.000 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.972747 0.000 1.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.980574 1.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.980574 1.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.972747 0.000 1.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.0376 0.978073 0.996 0.004
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.9732 0.306796 0.596 0.404
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.7674 0.702635 0.776 0.224
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.0000 0.980574 1.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0000 0.980574 1.000 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.980574 1.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.972747 0.000 1.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.0000 0.980574 1.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.972747 0.000 1.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.980574 1.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0000 0.972747 0.000 1.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.0376 0.978073 0.996 0.004
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.0000 0.980574 1.000 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0000 0.980574 1.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.0376 0.978073 0.996 0.004
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 1 0.0376 0.978073 0.996 0.004
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.9661 0.338498 0.608 0.392
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.972747 0.000 1.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.980574 1.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.980574 1.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 2 0.2603 0.937830 0.044 0.956
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.0000 0.980574 1.000 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.980574 1.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.972747 0.000 1.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 1 0.0376 0.978073 0.996 0.004
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.980574 1.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.0000 0.980574 1.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 1 0.0376 0.978073 0.996 0.004
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.972747 0.000 1.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0000 0.980574 1.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0000 0.980574 1.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.0000 0.980574 1.000 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0000 0.980574 1.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.9998 -0.000259 0.508 0.492
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.980574 1.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0000 0.980574 1.000 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.972747 0.000 1.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 1 0.0376 0.978073 0.996 0.004
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.0000 0.972747 0.000 1.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0000 0.980574 1.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 1 0.3584 0.916089 0.932 0.068
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0000 0.980574 1.000 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.980574 1.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.980574 1.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.5946 0.822133 0.856 0.144
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.0000 0.980574 1.000 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.972747 0.000 1.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0000 0.972747 0.000 1.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 1 0.0376 0.978073 0.996 0.004
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0000 0.980574 1.000 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.0000 0.980574 1.000 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.972747 0.000 1.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.0000 0.980574 1.000 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0000 0.980574 1.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0000 0.980574 1.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.0376 0.978073 0.996 0.004
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 2 0.9881 0.243178 0.436 0.564
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.0000 0.980574 1.000 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 1 0.0376 0.978073 0.996 0.004
#> 00439565-02CE-4BF5-956D-7078B51C0947 1 0.0000 0.980574 1.000 0.000
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#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.972747 0.000 1.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.980574 1.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.0000 0.980574 1.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.0376 0.978073 0.996 0.004
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.972747 0.000 1.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.980574 1.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.980574 1.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.0000 0.980574 1.000 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.0376 0.978073 0.996 0.004
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.2423 0.944301 0.960 0.040
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.0000 0.980574 1.000 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.980574 1.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.980574 1.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.980574 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.972747 0.000 1.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.972747 0.000 1.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.0376 0.978073 0.996 0.004
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.980574 1.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.980574 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.980574 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.0000 0.9645 0.000 1.000 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.6307 0.1124 0.488 0.000 0.512
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.5263 0.6232 0.088 0.084 0.828
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.1860 0.5938 0.948 0.000 0.052
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0237 0.6029 0.996 0.000 0.004
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.1163 0.5943 0.972 0.000 0.028
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.1919 0.6320 0.024 0.020 0.956
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0892 0.9639 0.000 0.980 0.020
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.6672 0.2250 0.520 0.008 0.472
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.6295 0.2354 0.528 0.000 0.472
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.6079 0.3386 0.612 0.000 0.388
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.6274 0.2650 0.544 0.000 0.456
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.6126 0.2396 0.400 0.000 0.600
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.9645 0.000 1.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.5595 0.4837 0.228 0.016 0.756
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.2066 0.6417 0.060 0.000 0.940
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.5948 0.2010 0.640 0.000 0.360
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.6225 0.2977 0.568 0.000 0.432
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.1031 0.5958 0.976 0.000 0.024
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.5650 0.3087 0.688 0.000 0.312
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0892 0.9639 0.000 0.980 0.020
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0237 0.6029 0.996 0.000 0.004
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.6140 0.3135 0.596 0.000 0.404
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.6225 0.2977 0.568 0.000 0.432
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.3482 0.6014 0.128 0.000 0.872
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0747 0.5999 0.984 0.000 0.016
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.1964 0.6428 0.056 0.000 0.944
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.4887 0.4251 0.772 0.000 0.228
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0892 0.9639 0.000 0.980 0.020
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.9645 0.000 1.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.5905 0.3420 0.648 0.000 0.352
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.6274 0.2650 0.544 0.000 0.456
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.6307 0.1863 0.512 0.000 0.488
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0424 0.6021 0.992 0.000 0.008
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0892 0.9639 0.000 0.980 0.020
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.5377 0.6108 0.112 0.068 0.820
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 3 0.6126 0.1441 0.400 0.000 0.600
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0892 0.9639 0.000 0.980 0.020
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0237 0.6029 0.996 0.000 0.004
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0237 0.6029 0.996 0.000 0.004
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0892 0.9639 0.000 0.980 0.020
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.2165 0.6401 0.064 0.000 0.936
#> 6D3CC3AC-618B-414A-B640-169C735A6568 2 0.7438 0.1801 0.036 0.536 0.428
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.6286 0.2510 0.536 0.000 0.464
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.4931 0.4202 0.768 0.000 0.232
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.5016 0.4099 0.760 0.000 0.240
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.1411 0.5903 0.964 0.000 0.036
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0892 0.9639 0.000 0.980 0.020
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.6274 0.1671 0.456 0.000 0.544
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.9645 0.000 1.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.6215 0.3008 0.572 0.000 0.428
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0000 0.9645 0.000 1.000 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.6126 0.1600 0.600 0.000 0.400
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.6302 0.2234 0.520 0.000 0.480
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.6126 0.3134 0.600 0.000 0.400
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.1964 0.6428 0.056 0.000 0.944
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.4291 0.5446 0.180 0.000 0.820
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.6672 0.2250 0.520 0.008 0.472
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.9645 0.000 1.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.1529 0.5981 0.960 0.000 0.040
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.1529 0.5892 0.960 0.000 0.040
#> 09758B6F-1B2D-4AED-8913-696097069409 2 0.0747 0.9558 0.000 0.984 0.016
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.6672 0.2250 0.520 0.008 0.472
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.6180 0.3096 0.584 0.000 0.416
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0892 0.9639 0.000 0.980 0.020
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.2066 0.6418 0.060 0.000 0.940
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.6204 0.3032 0.576 0.000 0.424
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.5098 0.3992 0.752 0.000 0.248
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.6204 0.2061 0.424 0.000 0.576
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.9645 0.000 1.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.1289 0.5934 0.968 0.000 0.032
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.3551 0.5186 0.868 0.000 0.132
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.5497 0.3310 0.708 0.000 0.292
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.6235 0.2939 0.564 0.000 0.436
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.6235 0.2939 0.564 0.000 0.436
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.6032 1.000 0.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.6280 0.2582 0.540 0.000 0.460
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0892 0.9639 0.000 0.980 0.020
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.1964 0.6428 0.056 0.000 0.944
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.0000 0.9645 0.000 1.000 0.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.1411 0.5916 0.964 0.000 0.036
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.5069 0.6127 0.044 0.128 0.828
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0000 0.6032 1.000 0.000 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.1031 0.5970 0.976 0.000 0.024
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.1163 0.5998 0.972 0.000 0.028
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.6672 0.2250 0.520 0.008 0.472
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.6168 0.3017 0.588 0.000 0.412
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.9645 0.000 1.000 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0892 0.9639 0.000 0.980 0.020
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.6111 0.2458 0.396 0.000 0.604
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.5785 0.3165 0.668 0.000 0.332
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.4887 0.4251 0.772 0.000 0.228
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.9645 0.000 1.000 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.6299 -0.0643 0.524 0.000 0.476
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.6672 0.2250 0.520 0.008 0.472
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0000 0.6032 1.000 0.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 3 0.8825 0.4313 0.152 0.288 0.560
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 2 0.8210 -0.0792 0.460 0.468 0.072
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.6672 0.2250 0.520 0.008 0.472
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.4346 0.5391 0.184 0.000 0.816
#> 00439565-02CE-4BF5-956D-7078B51C0947 3 0.5560 0.3351 0.300 0.000 0.700
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0892 0.9639 0.000 0.980 0.020
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0892 0.9639 0.000 0.980 0.020
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.6260 0.2777 0.552 0.000 0.448
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.6672 0.2250 0.520 0.008 0.472
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0892 0.9639 0.000 0.980 0.020
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 2 0.1964 0.9235 0.000 0.944 0.056
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.6274 0.1671 0.456 0.000 0.544
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.0000 0.6032 1.000 0.000 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 2 0.0237 0.9628 0.000 0.996 0.004
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0892 0.9639 0.000 0.980 0.020
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.6509 0.2305 0.524 0.004 0.472
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.1964 0.6428 0.056 0.000 0.944
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.5016 0.4720 0.240 0.000 0.760
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.6215 0.2896 0.572 0.000 0.428
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.6192 0.3076 0.580 0.000 0.420
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.0000 0.6032 1.000 0.000 0.000
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.6672 0.2250 0.520 0.008 0.472
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.2959 0.5672 0.900 0.000 0.100
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.6140 0.3135 0.596 0.000 0.404
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.0237 0.6029 0.996 0.000 0.004
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.1289 0.6001 0.968 0.000 0.032
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 3 0.4702 0.5101 0.212 0.000 0.788
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.6140 0.3135 0.596 0.000 0.404
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 2 0.0661 0.9585 0.004 0.988 0.008
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 2 0.0237 0.9628 0.000 0.996 0.004
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 2 0.3921 0.8370 0.016 0.872 0.112
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.0424 0.6034 0.992 0.000 0.008
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 3 0.7165 0.5371 0.172 0.112 0.716
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 1 0.2959 0.5485 0.900 0.000 0.100
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 2 0.8203 -0.0412 0.444 0.484 0.072
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.2537 0.5802 0.920 0.000 0.080
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.0892 0.9639 0.000 0.980 0.020
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 1 0.5058 0.4048 0.756 0.000 0.244
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.0892 0.9639 0.000 0.980 0.020
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0892 0.9639 0.000 0.980 0.020
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.6286 0.2510 0.536 0.000 0.464
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0892 0.9639 0.000 0.980 0.020
#> 9492A322-37CA-4582-AC68-66B5D80778AF 2 0.0000 0.9645 0.000 1.000 0.000
#> 993399A4-1B9F-4258-B2D0-155AD58A2E82 1 0.6215 0.3008 0.572 0.000 0.428
#> 7B7DC93D-5494-4E69-BE07-2967887182F9 1 0.0237 0.6028 0.996 0.000 0.004
#> 29BCBA51-2580-473D-9CF7-BEDBD0DBAD1B 2 0.0000 0.9645 0.000 1.000 0.000
#> 40855647-E942-4F32-90B7-BEB921929BFB 1 0.6192 0.3076 0.580 0.000 0.420
#> 0DC723D0-7C68-4495-A4B9-2DF2FF19AB14 2 0.0000 0.9645 0.000 1.000 0.000
#> 7540005F-57E0-4E2E-A8A2-BEF2B0F333B1 2 0.0000 0.9645 0.000 1.000 0.000
#> EB1DDB14-4076-4C2C-B911-390C17C21486 1 0.2066 0.5921 0.940 0.000 0.060
#> 9EA70EC4-8BA0-4E3D-B3CB-A68D19E89868 1 0.9480 0.0678 0.496 0.236 0.268
#> B04E2E50-0A6E-4224-A825-1714D12E5669 2 0.0892 0.9639 0.000 0.980 0.020
#> B0BF5E01-536D-40FF-9C24-CBBD611E2FC2 1 0.0000 0.6032 1.000 0.000 0.000
#> 7B6B1788-B297-4442-B6BE-B7CE8754491E 1 0.1964 0.5923 0.944 0.000 0.056
#> A090D00C-34DF-4906-A517-4803C4C9A332 1 0.1163 0.6010 0.972 0.000 0.028
#> 340D44A6-9BEA-412C-9973-D9ABD6692255 1 0.2356 0.5703 0.928 0.000 0.072
#> E8D0D1E7-E5A8-4014-80C1-0245F90F4358 2 0.0000 0.9645 0.000 1.000 0.000
#> 19EA1494-8572-40E1-B9BB-3739F47B607D 1 0.4887 0.4251 0.772 0.000 0.228
#> 1C1B4793-8DAF-4763-BA4D-C4E869A4ED35 2 0.1411 0.9392 0.000 0.964 0.036
#> 45BF59B3-95BD-4196-ABAA-4C4F0DB38572 2 0.0000 0.9645 0.000 1.000 0.000
#> 47B5A2A7-7E13-4558-99D2-067F5075C6A4 1 0.6672 0.2250 0.520 0.008 0.472
#> E94638E8-CB51-4FBB-8BCB-4BFD7A812291 1 0.6225 0.2977 0.568 0.000 0.432
#> A17352A8-0D3C-4545-8136-7DAE2FB0E102 2 0.0424 0.9608 0.000 0.992 0.008
#> B18A6F95-D4ED-416B-B5A1-9A4934865D0D 2 0.0892 0.9639 0.000 0.980 0.020
#> 33E92C5F-0C42-4549-AD5B-0A064182A272 1 0.5363 0.3575 0.724 0.000 0.276
#> E041B375-3E60-4F18-A6EF-D1C249E3B8EE 3 0.6244 0.1883 0.440 0.000 0.560
#> EDF90AF6-6C64-4BD2-AADF-8D7D188650B2 2 0.0000 0.9645 0.000 1.000 0.000
#> 569320D2-316C-4E2D-B7B3-D7D5C4DAD42D 1 0.4555 0.4940 0.800 0.000 0.200
#> AFFB223D-DAE9-4567-9EF2-8E4DF9D8782D 2 0.0000 0.9645 0.000 1.000 0.000
#> 56FC9454-0A6A-4CC3-95C4-BE0E0D0BAFCE 2 0.0000 0.9645 0.000 1.000 0.000
#> 43226365-FAEF-46C5-AF1B-5C6C2BED84FF 3 0.6982 0.5345 0.072 0.220 0.708
#> 1536110A-B42A-4A84-9474-9895321FDCE9 2 0.0000 0.9645 0.000 1.000 0.000
#> 812255DD-536B-4216-90B1-27D5AB339BE2 1 0.6672 0.2250 0.520 0.008 0.472
#> 5D4563D6-68B7-4C9D-A3F4-AA7D45D5112C 2 0.0000 0.9645 0.000 1.000 0.000
#> BAA39781-DB94-473C-98B1-FA6CD3E1C67A 1 0.0237 0.6028 0.996 0.000 0.004
#> C1411CDA-814D-4E21-8929-C0F77858828F 1 0.5859 0.3324 0.656 0.000 0.344
#> EFE2F248-C13E-4E8D-9153-8C903848AC4A 2 0.0892 0.9529 0.000 0.980 0.020
#> D3939C84-D1D6-4060-9F91-AEB222A9BDD5 1 0.6244 0.2643 0.560 0.000 0.440
#> EABD2987-8C1E-49E5-94AF-C0BDE5335A48 1 0.2796 0.5559 0.908 0.000 0.092
#> F4BE2ABE-2CEB-4A6A-B8EC-0355F8C63B9B 1 0.0237 0.6028 0.996 0.000 0.004
#> 627BC251-D217-4955-B718-6B9D6DEA1756 1 0.0237 0.6029 0.996 0.000 0.004
#> 31B54613-A20E-4039-BB8B-9B52104CE418 1 0.0237 0.6029 0.996 0.000 0.004
#> 3F292B7C-A535-4DBD-BC20-CB4F85A1C94B 1 0.6215 0.2981 0.572 0.000 0.428
#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 2 0.0000 0.9645 0.000 1.000 0.000
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.0892 0.9639 0.000 0.980 0.020
#> 4588817E-1068-4A78-86B6-4674A0112DDA 3 0.9075 0.0913 0.388 0.140 0.472
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 2 0.0892 0.9639 0.000 0.980 0.020
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.3267 0.5329 0.884 0.000 0.116
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 3 0.6309 -0.2018 0.496 0.000 0.504
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.0892 0.9639 0.000 0.980 0.020
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.3551 0.5678 0.868 0.000 0.132
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 1 0.5138 0.3936 0.748 0.000 0.252
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.0892 0.9639 0.000 0.980 0.020
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.0892 0.9639 0.000 0.980 0.020
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.0000 0.9645 0.000 1.000 0.000
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 3 0.8559 0.2680 0.304 0.124 0.572
#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.0892 0.5986 0.980 0.000 0.020
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.0892 0.5978 0.980 0.000 0.020
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.4931 0.4449 0.768 0.000 0.232
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.1031 0.6007 0.976 0.000 0.024
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0000 0.9645 0.000 1.000 0.000
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.5178 0.3935 0.744 0.000 0.256
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.6672 0.2250 0.520 0.008 0.472
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.6509 0.2305 0.524 0.004 0.472
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.5178 0.4202 0.744 0.000 0.256
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 3 0.6460 0.2502 0.004 0.440 0.556
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.5968 0.1918 0.636 0.000 0.364
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0237 0.6028 0.996 0.000 0.004
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.6204 0.3032 0.576 0.000 0.424
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.0237 0.6029 0.996 0.000 0.004
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.6225 0.2977 0.568 0.000 0.432
#> 9EEECA0E-530D-4724-B016-A716F0782148 3 0.9447 0.3444 0.188 0.348 0.464
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.5254 0.3793 0.736 0.000 0.264
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0892 0.9639 0.000 0.980 0.020
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.0000 0.9645 0.000 1.000 0.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.6299 0.2334 0.524 0.000 0.476
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.6180 0.3070 0.584 0.000 0.416
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.4504 0.5258 0.804 0.000 0.196
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.0424 0.6020 0.992 0.000 0.008
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.5431 0.4074 0.716 0.000 0.284
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.0892 0.9639 0.000 0.980 0.020
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 3 0.7007 0.5078 0.176 0.100 0.724
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.1964 0.6428 0.056 0.000 0.944
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0000 0.6032 1.000 0.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 3 0.8339 -0.0618 0.448 0.080 0.472
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.0000 0.9645 0.000 1.000 0.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.6225 0.1975 0.432 0.000 0.568
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0892 0.9639 0.000 0.980 0.020
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0892 0.9639 0.000 0.980 0.020
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.9645 0.000 1.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.5591 0.3102 0.696 0.000 0.304
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.2846 0.6142 0.020 0.056 0.924
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.5216 0.4484 0.740 0.000 0.260
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0592 0.6009 0.988 0.000 0.012
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0000 0.6032 1.000 0.000 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.1964 0.6428 0.056 0.000 0.944
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.1964 0.6428 0.056 0.000 0.944
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 3 0.5896 0.3018 0.292 0.008 0.700
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0237 0.6028 0.996 0.000 0.004
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0892 0.9639 0.000 0.980 0.020
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 3 0.5760 0.2883 0.328 0.000 0.672
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.1964 0.6428 0.056 0.000 0.944
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.5058 0.4049 0.756 0.000 0.244
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.9645 0.000 1.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.9645 0.000 1.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0237 0.6029 0.996 0.000 0.004
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.9645 0.000 1.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0892 0.9639 0.000 0.980 0.020
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.5327 0.3655 0.728 0.000 0.272
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.4796 0.4346 0.780 0.000 0.220
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0892 0.9639 0.000 0.980 0.020
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0892 0.9639 0.000 0.980 0.020
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.1964 0.6428 0.056 0.000 0.944
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.6032 1.000 0.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.3816 0.5091 0.852 0.000 0.148
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.9645 0.000 1.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.6553 0.2960 0.580 0.008 0.412
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.9645 0.000 1.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.6032 1.000 0.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0424 0.6021 0.992 0.000 0.008
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.6140 0.3112 0.596 0.000 0.404
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.5327 0.3640 0.728 0.000 0.272
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.6215 0.3008 0.572 0.000 0.428
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0892 0.9639 0.000 0.980 0.020
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.3879 0.5015 0.848 0.000 0.152
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0237 0.6029 0.996 0.000 0.004
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.5785 0.3829 0.668 0.000 0.332
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.5216 0.3827 0.740 0.000 0.260
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 2 0.2625 0.8830 0.000 0.916 0.084
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.2878 0.5711 0.904 0.000 0.096
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.5397 0.3895 0.720 0.000 0.280
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.7276 0.5509 0.104 0.192 0.704
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 2 0.1411 0.9392 0.000 0.964 0.036
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 3 0.5733 0.2712 0.324 0.000 0.676
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.5363 0.3874 0.724 0.000 0.276
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.4796 0.4346 0.780 0.000 0.220
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0892 0.9639 0.000 0.980 0.020
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.6192 0.3076 0.580 0.000 0.420
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.0237 0.9628 0.000 0.996 0.004
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0237 0.6028 0.996 0.000 0.004
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.4796 0.4346 0.780 0.000 0.220
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.6032 1.000 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0892 0.9639 0.000 0.980 0.020
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.9319 0.3508 0.168 0.368 0.464
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.2200 0.6430 0.056 0.004 0.940
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.9613 0.2632 0.284 0.244 0.472
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.1031 0.9498 0.000 0.976 0.024
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.6045 0.2835 0.620 0.000 0.380
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 2 0.5598 0.6859 0.148 0.800 0.052
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.6192 0.3076 0.580 0.000 0.420
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.6032 1.000 0.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.9645 0.000 1.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.6154 0.3123 0.592 0.000 0.408
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.9645 0.000 1.000 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.6260 0.2736 0.552 0.000 0.448
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.5098 0.3992 0.752 0.000 0.248
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.8010 0.3611 0.068 0.384 0.548
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0747 0.9558 0.000 0.984 0.016
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.6286 0.2482 0.536 0.000 0.464
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.6032 1.000 0.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 3 0.7063 -0.1323 0.464 0.020 0.516
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.1964 0.6428 0.056 0.000 0.944
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.5036 0.6138 0.048 0.120 0.832
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.6308 0.1730 0.508 0.000 0.492
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.5431 0.3834 0.716 0.000 0.284
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.6204 0.3032 0.576 0.000 0.424
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.6032 1.000 0.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0892 0.9639 0.000 0.980 0.020
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0892 0.9639 0.000 0.980 0.020
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.1964 0.6428 0.056 0.000 0.944
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.6235 0.2789 0.564 0.000 0.436
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0424 0.6020 0.992 0.000 0.008
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.6267 0.2751 0.548 0.000 0.452
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.0921 0.77231 0.000 0.972 0.028 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.5764 0.40206 0.644 0.000 0.304 0.052
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.6272 0.33751 0.276 0.048 0.652 0.024
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.5126 -0.09294 0.552 0.000 0.444 0.004
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.2714 0.64859 0.884 0.000 0.112 0.004
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.3052 0.62985 0.860 0.000 0.136 0.004
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.5266 0.43610 0.020 0.012 0.704 0.264
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 4 0.4730 0.82173 0.000 0.364 0.000 0.636
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.7035 0.33214 0.384 0.108 0.504 0.004
#> 53062969-D209-490B-9C9B-5D297625E2AE 3 0.4677 0.52758 0.316 0.000 0.680 0.004
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.4761 0.31315 0.664 0.000 0.332 0.004
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 3 0.5888 0.53024 0.308 0.048 0.640 0.004
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.5528 0.42098 0.064 0.000 0.700 0.236
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0188 0.78621 0.000 0.996 0.000 0.004
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#> 31B54613-A20E-4039-BB8B-9B52104CE418 1 0.1824 0.69120 0.936 0.000 0.060 0.004
#> 3F292B7C-A535-4DBD-BC20-CB4F85A1C94B 3 0.4872 0.50195 0.356 0.000 0.640 0.004
#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 2 0.0000 0.78755 0.000 1.000 0.000 0.000
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 4 0.4134 0.90943 0.000 0.260 0.000 0.740
#> 4588817E-1068-4A78-86B6-4674A0112DDA 3 0.7735 0.28995 0.340 0.184 0.468 0.008
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 4 0.4134 0.90943 0.000 0.260 0.000 0.740
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.1978 0.68413 0.928 0.000 0.068 0.004
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 3 0.4776 0.43911 0.376 0.000 0.624 0.000
#> DF28E138-E222-4F77-9B61-69E601CA7E60 4 0.4331 0.89669 0.000 0.288 0.000 0.712
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.5147 -0.09768 0.536 0.000 0.460 0.004
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 1 0.2799 0.65334 0.884 0.000 0.108 0.008
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.3400 0.58852 0.000 0.820 0.000 0.180
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 4 0.4277 0.90276 0.000 0.280 0.000 0.720
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.0000 0.78755 0.000 1.000 0.000 0.000
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 3 0.5777 0.52467 0.072 0.228 0.696 0.004
#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.1557 0.69331 0.944 0.000 0.056 0.000
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.2593 0.65601 0.892 0.000 0.104 0.004
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.4991 0.13165 0.608 0.000 0.388 0.004
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.4920 0.11398 0.628 0.000 0.368 0.004
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.2081 0.71687 0.000 0.916 0.000 0.084
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.2988 0.65586 0.876 0.000 0.112 0.012
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 3 0.5651 0.52947 0.308 0.036 0.652 0.004
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 3 0.6900 0.27728 0.416 0.092 0.488 0.004
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.3105 0.66846 0.856 0.004 0.140 0.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 2 0.5135 0.48432 0.012 0.684 0.296 0.008
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.4535 0.52212 0.744 0.000 0.240 0.016
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.2401 0.66537 0.904 0.000 0.092 0.004
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 3 0.4713 0.50000 0.360 0.000 0.640 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.1305 0.69027 0.960 0.000 0.036 0.004
#> 331A9160-D730-45DD-A985-C6CAC03035ED 3 0.4679 0.50485 0.352 0.000 0.648 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 3 0.6943 0.51034 0.140 0.268 0.588 0.004
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.3583 0.59378 0.816 0.000 0.180 0.004
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 4 0.4134 0.90943 0.000 0.260 0.000 0.740
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.0000 0.78755 0.000 1.000 0.000 0.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 3 0.4406 0.53154 0.300 0.000 0.700 0.000
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 3 0.4776 0.48778 0.376 0.000 0.624 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.2921 0.67428 0.860 0.000 0.140 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.2401 0.66999 0.904 0.000 0.092 0.004
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.3626 0.63709 0.812 0.004 0.184 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 4 0.4746 0.86580 0.000 0.304 0.008 0.688
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 3 0.5702 0.51745 0.076 0.196 0.720 0.008
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.5106 0.43950 0.040 0.000 0.720 0.240
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.1743 0.68825 0.940 0.000 0.056 0.004
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 3 0.6697 0.51609 0.144 0.224 0.628 0.004
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.0188 0.78621 0.000 0.996 0.000 0.004
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 1 0.5660 0.33588 0.576 0.000 0.396 0.028
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 4 0.4250 0.90495 0.000 0.276 0.000 0.724
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 4 0.4134 0.90943 0.000 0.260 0.000 0.740
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.4977 -0.40300 0.000 0.540 0.000 0.460
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.4175 0.56861 0.784 0.000 0.200 0.016
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 4 0.5759 0.29044 0.028 0.020 0.276 0.676
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.4535 0.39207 0.704 0.000 0.292 0.004
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.1824 0.68901 0.936 0.000 0.060 0.004
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.1824 0.68109 0.936 0.000 0.060 0.004
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.4964 0.43871 0.032 0.000 0.724 0.244
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.4964 0.43871 0.032 0.000 0.724 0.244
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 3 0.7710 0.27724 0.200 0.340 0.456 0.004
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.2466 0.66157 0.900 0.000 0.096 0.004
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 4 0.4193 0.90823 0.000 0.268 0.000 0.732
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 3 0.5126 0.22701 0.444 0.004 0.552 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.4964 0.43871 0.032 0.000 0.724 0.244
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.3300 0.64667 0.848 0.000 0.144 0.008
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.78755 0.000 1.000 0.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.2216 0.70794 0.000 0.908 0.000 0.092
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.1743 0.68539 0.940 0.000 0.056 0.004
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.1211 0.76109 0.000 0.960 0.000 0.040
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 4 0.4790 0.75907 0.000 0.380 0.000 0.620
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.4098 0.59107 0.784 0.000 0.204 0.012
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.4422 0.52318 0.736 0.000 0.256 0.008
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.4992 -0.45054 0.000 0.524 0.000 0.476
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 4 0.4643 0.84427 0.000 0.344 0.000 0.656
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.6229 0.36844 0.116 0.000 0.656 0.228
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.1902 0.68204 0.932 0.000 0.064 0.004
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.1978 0.67953 0.928 0.000 0.068 0.004
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.3975 0.42491 0.000 0.760 0.000 0.240
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.5874 0.25613 0.616 0.032 0.344 0.008
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.1867 0.72982 0.000 0.928 0.000 0.072
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.1398 0.68769 0.956 0.000 0.040 0.004
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0657 0.69118 0.984 0.000 0.012 0.004
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.4972 -0.16831 0.544 0.000 0.456 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.3479 0.62074 0.840 0.000 0.148 0.012
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 3 0.4697 0.50237 0.356 0.000 0.644 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.4992 -0.45032 0.000 0.524 0.000 0.476
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.1398 0.68614 0.956 0.000 0.040 0.004
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.1576 0.68601 0.948 0.000 0.048 0.004
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.4088 0.51615 0.764 0.000 0.232 0.004
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.4630 0.55039 0.732 0.000 0.252 0.016
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 3 0.5296 0.02694 0.000 0.492 0.500 0.008
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.2647 0.67847 0.880 0.000 0.120 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.5277 0.00306 0.532 0.000 0.460 0.008
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.7353 0.37776 0.252 0.180 0.560 0.008
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 2 0.3668 0.62094 0.000 0.808 0.188 0.004
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 3 0.5155 0.22779 0.468 0.000 0.528 0.004
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.5288 0.00760 0.520 0.000 0.472 0.008
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.2593 0.66984 0.892 0.000 0.104 0.004
#> 20EB9CC6-EABB-438A-9030-E766459996D1 4 0.4925 0.69932 0.000 0.428 0.000 0.572
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 3 0.4925 0.40794 0.428 0.000 0.572 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.0921 0.77231 0.000 0.972 0.028 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.2334 0.66686 0.908 0.000 0.088 0.004
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.4741 0.33712 0.668 0.000 0.328 0.004
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.2081 0.67165 0.916 0.000 0.084 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 4 0.4164 0.90899 0.000 0.264 0.000 0.736
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.7215 0.46202 0.140 0.328 0.528 0.004
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.5326 0.43762 0.040 0.008 0.724 0.228
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.6138 0.40896 0.048 0.332 0.612 0.008
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.2412 0.72771 0.000 0.908 0.084 0.008
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.3528 0.61162 0.808 0.000 0.192 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 2 0.4155 0.61609 0.100 0.828 0.072 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 3 0.4761 0.48744 0.372 0.000 0.628 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.2266 0.67010 0.912 0.000 0.084 0.004
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.78755 0.000 1.000 0.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 3 0.4916 0.40938 0.424 0.000 0.576 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0188 0.78696 0.000 0.996 0.004 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 3 0.5075 0.51378 0.344 0.012 0.644 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.3161 0.65401 0.864 0.000 0.124 0.012
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.7972 0.35529 0.144 0.372 0.456 0.028
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.5219 0.42430 0.000 0.712 0.044 0.244
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 3 0.4699 0.52588 0.320 0.000 0.676 0.004
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.1824 0.68082 0.936 0.000 0.060 0.004
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 3 0.5590 0.44064 0.028 0.304 0.660 0.008
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.4964 0.43871 0.032 0.000 0.724 0.244
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.8433 0.19001 0.256 0.284 0.432 0.028
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.4843 0.41005 0.396 0.000 0.604 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.5277 0.01440 0.532 0.000 0.460 0.008
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 3 0.4872 0.50363 0.356 0.004 0.640 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.2334 0.66686 0.908 0.000 0.088 0.004
#> 206865A9-A67C-49A6-93AD-55D06E777559 4 0.4134 0.90943 0.000 0.260 0.000 0.740
#> 26DABC83-DB30-452F-9BE2-366760CB138E 4 0.4164 0.90892 0.000 0.264 0.000 0.736
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.5052 0.43841 0.036 0.000 0.720 0.244
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.4999 -0.20418 0.508 0.000 0.492 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.2466 0.66249 0.900 0.000 0.096 0.004
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 3 0.4605 0.51365 0.336 0.000 0.664 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.0290 0.79981 0.000 0.000 0.000 0.992 0.008
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.6422 0.23315 0.256 0.000 0.508 0.000 0.236
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.7863 -0.08158 0.404 0.004 0.336 0.084 0.172
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.2012 0.39565 0.920 0.000 0.020 0.000 0.060
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.3695 0.32867 0.800 0.000 0.036 0.000 0.164
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.6737 0.18213 0.424 0.008 0.380 0.000 0.188
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.7450 0.14047 0.260 0.012 0.452 0.024 0.252
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.2690 0.79974 0.000 0.844 0.000 0.156 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.6670 0.71184 0.188 0.000 0.036 0.200 0.576
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.4307 -0.27362 0.504 0.000 0.000 0.000 0.496
#> B710293C-41D3-4A2E-8104-5402F91DD859 5 0.6721 0.14891 0.304 0.000 0.276 0.000 0.420
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 5 0.6386 0.55313 0.368 0.000 0.000 0.172 0.460
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.6970 0.23710 0.272 0.012 0.444 0.000 0.272
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.1043 0.78747 0.000 0.040 0.000 0.960 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.7068 0.05396 0.436 0.000 0.272 0.016 0.276
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.4007 0.30970 0.020 0.012 0.776 0.000 0.192
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.5255 0.15986 0.388 0.000 0.560 0.000 0.052
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.4030 -0.05408 0.648 0.000 0.000 0.000 0.352
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.6800 0.19871 0.436 0.008 0.348 0.000 0.208
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.5126 0.20858 0.300 0.000 0.636 0.000 0.064
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.1544 0.83326 0.000 0.932 0.000 0.068 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.5684 0.22213 0.644 0.004 0.196 0.000 0.156
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.2605 0.33661 0.852 0.000 0.000 0.000 0.148
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.4219 -0.11267 0.584 0.000 0.000 0.000 0.416
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.4261 0.30576 0.048 0.012 0.780 0.000 0.160
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.4294 0.06546 0.532 0.000 0.468 0.000 0.000
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#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.0609 0.84425 0.000 0.980 0.000 0.020 0.000
#> 4588817E-1068-4A78-86B6-4674A0112DDA 5 0.6492 0.71466 0.172 0.000 0.020 0.240 0.568
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 2 0.0703 0.84434 0.000 0.976 0.000 0.024 0.000
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.5006 0.25486 0.708 0.000 0.136 0.000 0.156
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.5246 -0.09495 0.564 0.000 0.052 0.000 0.384
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.3612 0.75149 0.000 0.764 0.008 0.228 0.000
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.4167 0.35367 0.788 0.004 0.072 0.000 0.136
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 3 0.4885 0.14189 0.400 0.000 0.572 0.000 0.028
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 4 0.4201 0.11813 0.000 0.408 0.000 0.592 0.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.3274 0.75939 0.000 0.780 0.000 0.220 0.000
#> B3F746DC-E487-4305-9F30-825D1520E8FD 4 0.0000 0.80040 0.000 0.000 0.000 1.000 0.000
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.7392 -0.33140 0.412 0.000 0.052 0.172 0.364
#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.5099 0.17182 0.612 0.000 0.336 0.000 0.052
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.6514 0.18916 0.444 0.008 0.400 0.000 0.148
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.5159 0.21806 0.692 0.000 0.164 0.000 0.144
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.2153 0.39780 0.916 0.000 0.040 0.000 0.044
#> 25A5BC09-0D88-4385-87AF-997F9018522D 4 0.4088 0.22778 0.000 0.368 0.000 0.632 0.000
#> 344B9631-AAA5-4302-8747-D584345D9131 3 0.5314 0.09402 0.420 0.000 0.528 0.000 0.052
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 5 0.6109 0.72102 0.212 0.000 0.000 0.220 0.568
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 5 0.6431 0.71734 0.176 0.000 0.020 0.224 0.580
#> 297611E9-9555-4BCA-A723-02E846ACC23A 3 0.6461 0.00111 0.332 0.008 0.504 0.000 0.156
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 4 0.3387 0.69617 0.004 0.000 0.004 0.796 0.196
#> FD544083-9BD5-4036-BD81-0352B67CC45C 3 0.5420 0.20919 0.332 0.000 0.592 0.000 0.076
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.6083 0.21864 0.528 0.008 0.360 0.000 0.104
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.4238 0.00467 0.628 0.000 0.000 0.004 0.368
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.4557 0.11623 0.584 0.000 0.404 0.000 0.012
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.5077 -0.24130 0.568 0.000 0.000 0.040 0.392
#> 9EEECA0E-530D-4724-B016-A716F0782148 4 0.5303 0.36611 0.108 0.000 0.000 0.660 0.232
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 3 0.5895 0.08971 0.440 0.000 0.460 0.000 0.100
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0609 0.84425 0.000 0.980 0.000 0.020 0.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 4 0.0000 0.80040 0.000 0.000 0.000 1.000 0.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 5 0.4307 0.24864 0.500 0.000 0.000 0.000 0.500
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.3835 0.20578 0.732 0.000 0.008 0.000 0.260
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 3 0.4452 -0.01997 0.496 0.000 0.500 0.000 0.004
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.6270 0.16300 0.472 0.008 0.404 0.000 0.116
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 3 0.6681 -0.04640 0.392 0.008 0.424 0.000 0.176
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.5145 0.41823 0.004 0.564 0.008 0.404 0.020
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.8027 -0.25835 0.352 0.000 0.104 0.200 0.344
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.6941 0.21105 0.344 0.012 0.424 0.000 0.220
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.6105 0.23148 0.596 0.008 0.232 0.000 0.164
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 5 0.5970 0.71302 0.184 0.000 0.000 0.228 0.588
#> B2088466-FA5D-491C-9982-99B33683E66F 4 0.0000 0.80040 0.000 0.000 0.000 1.000 0.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.4466 0.28038 0.176 0.000 0.748 0.000 0.076
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.2966 0.78304 0.000 0.816 0.000 0.184 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0609 0.84425 0.000 0.980 0.000 0.020 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.3636 0.66604 0.000 0.728 0.000 0.272 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.5498 0.18879 0.356 0.000 0.568 0.000 0.076
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.8460 0.08476 0.236 0.032 0.448 0.120 0.164
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 5 0.6794 0.06480 0.300 0.000 0.320 0.000 0.380
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.5735 0.14684 0.508 0.008 0.420 0.000 0.064
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.4912 0.16840 0.572 0.008 0.404 0.000 0.016
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.6862 0.20766 0.352 0.012 0.436 0.000 0.200
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.6992 0.17369 0.284 0.012 0.436 0.000 0.268
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 5 0.7755 0.19954 0.084 0.004 0.380 0.148 0.384
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.5338 0.19969 0.544 0.000 0.400 0.000 0.056
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.2966 0.78304 0.000 0.816 0.000 0.184 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.6497 0.03222 0.504 0.000 0.164 0.008 0.324
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.6965 0.20504 0.320 0.012 0.432 0.000 0.236
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.5787 0.13169 0.616 0.000 0.204 0.000 0.180
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 4 0.0000 0.80040 0.000 0.000 0.000 1.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 4 0.4201 0.13910 0.000 0.408 0.000 0.592 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.5421 0.12054 0.584 0.004 0.352 0.000 0.060
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 4 0.2929 0.66717 0.000 0.180 0.000 0.820 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.3689 0.72406 0.000 0.740 0.000 0.256 0.004
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.6120 0.06515 0.560 0.000 0.256 0.000 0.184
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.5046 0.23742 0.704 0.000 0.140 0.000 0.156
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.4084 0.63355 0.000 0.668 0.000 0.328 0.004
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0609 0.84425 0.000 0.980 0.000 0.020 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.6293 0.25802 0.136 0.012 0.664 0.044 0.144
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.5659 0.16730 0.528 0.008 0.404 0.000 0.060
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 3 0.4256 0.09710 0.436 0.000 0.564 0.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 4 0.0880 0.79435 0.000 0.032 0.000 0.968 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 5 0.6319 0.35656 0.196 0.000 0.284 0.000 0.520
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 4 0.3424 0.56959 0.000 0.240 0.000 0.760 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.4464 0.14465 0.584 0.008 0.408 0.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.4892 0.00160 0.492 0.004 0.488 0.000 0.016
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.2771 0.38837 0.860 0.000 0.012 0.000 0.128
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.4866 0.15219 0.392 0.000 0.580 0.000 0.028
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.4482 -0.14451 0.612 0.000 0.000 0.012 0.376
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.4126 0.50722 0.000 0.620 0.000 0.380 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.4449 0.02598 0.512 0.000 0.484 0.000 0.004
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.4696 0.27613 0.736 0.000 0.108 0.000 0.156
#> D365A238-4739-4B54-9608-DC548F21C04E 3 0.6691 -0.20489 0.360 0.000 0.400 0.000 0.240
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.5314 0.13815 0.672 0.000 0.192 0.000 0.136
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 4 0.3777 0.72887 0.056 0.008 0.008 0.836 0.092
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.6721 0.08728 0.452 0.008 0.348 0.000 0.192
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.4449 0.23691 0.752 0.000 0.168 0.000 0.080
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.8491 -0.04073 0.396 0.012 0.240 0.140 0.212
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 4 0.2420 0.77055 0.000 0.008 0.008 0.896 0.088
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.5338 0.02736 0.604 0.000 0.072 0.000 0.324
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.4349 0.22972 0.756 0.000 0.176 0.000 0.068
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.5502 0.18701 0.652 0.000 0.192 0.000 0.156
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.4088 0.51503 0.000 0.632 0.000 0.368 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.3983 0.07724 0.660 0.000 0.000 0.000 0.340
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 4 0.0290 0.79981 0.000 0.000 0.000 0.992 0.008
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.5368 0.19522 0.548 0.004 0.400 0.000 0.048
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.5184 0.21495 0.688 0.000 0.136 0.000 0.176
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.5304 0.19645 0.560 0.000 0.384 0.000 0.056
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0703 0.84403 0.000 0.976 0.000 0.024 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 4 0.5551 0.24819 0.096 0.000 0.000 0.600 0.304
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.6890 0.15353 0.264 0.012 0.468 0.000 0.256
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 4 0.6790 -0.21733 0.316 0.000 0.000 0.384 0.300
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 4 0.4167 0.72019 0.000 0.136 0.004 0.788 0.072
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.5596 0.14039 0.304 0.000 0.596 0.000 0.100
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 4 0.4054 0.58628 0.036 0.000 0.000 0.760 0.204
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.4015 0.04161 0.652 0.000 0.000 0.000 0.348
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.5706 0.19591 0.528 0.008 0.400 0.000 0.064
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 4 0.1043 0.78747 0.000 0.040 0.000 0.960 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.3796 0.12679 0.700 0.000 0.000 0.000 0.300
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.0290 0.80015 0.000 0.000 0.000 0.992 0.008
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.4675 -0.16759 0.600 0.000 0.000 0.020 0.380
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.6176 0.09147 0.548 0.000 0.268 0.000 0.184
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.8090 -0.17179 0.356 0.000 0.096 0.272 0.276
#> C98275CD-C39A-4E14-A731-4F3EB7396665 4 0.3225 0.76513 0.048 0.024 0.004 0.876 0.048
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.4268 -0.16346 0.556 0.000 0.000 0.000 0.444
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.5908 0.25461 0.628 0.008 0.180 0.000 0.184
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 5 0.6778 0.35219 0.348 0.000 0.004 0.228 0.420
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.6907 0.19791 0.344 0.012 0.432 0.000 0.212
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.6690 0.16442 0.028 0.004 0.576 0.216 0.176
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.4674 -0.11395 0.568 0.000 0.016 0.000 0.416
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.4833 0.23164 0.736 0.008 0.168 0.000 0.088
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.4242 -0.12653 0.572 0.000 0.000 0.000 0.428
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.5306 0.19364 0.552 0.004 0.400 0.000 0.044
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0609 0.84425 0.000 0.980 0.000 0.020 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0609 0.84425 0.000 0.980 0.000 0.020 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.6938 0.19494 0.356 0.012 0.416 0.000 0.216
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.3630 0.31297 0.780 0.000 0.016 0.000 0.204
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.6193 0.17901 0.484 0.008 0.400 0.000 0.108
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.4074 -0.08838 0.636 0.000 0.000 0.000 0.364
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.2367 0.749492 0.088 0.000 0.008 0.888 0.000 0.016
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.5423 0.201594 0.000 0.000 0.444 0.000 0.116 0.440
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 6 0.5647 0.342496 0.044 0.000 0.348 0.000 0.064 0.544
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 5 0.5341 0.168741 0.004 0.000 0.276 0.000 0.588 0.132
#> 78F79407-D49F-4FA2-B09F-0665C502827C 5 0.4144 0.171810 0.004 0.000 0.008 0.000 0.580 0.408
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.2300 0.463139 0.144 0.000 0.000 0.000 0.856 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.3343 0.389774 0.004 0.008 0.816 0.148 0.000 0.024
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.1501 0.796637 0.000 0.924 0.000 0.076 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.2978 0.584326 0.856 0.000 0.000 0.084 0.052 0.008
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.5730 0.551048 0.536 0.000 0.360 0.032 0.064 0.008
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.3607 0.408863 0.652 0.000 0.000 0.000 0.348 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.6439 0.606230 0.564 0.000 0.220 0.112 0.100 0.004
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.4327 0.422330 0.004 0.000 0.688 0.000 0.048 0.260
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.0972 0.742487 0.008 0.000 0.000 0.964 0.000 0.028
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 6 0.6333 0.187461 0.124 0.000 0.408 0.000 0.048 0.420
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.4923 0.243906 0.000 0.000 0.560 0.000 0.368 0.072
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 5 0.3828 0.024670 0.000 0.000 0.000 0.000 0.560 0.440
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.6630 0.444302 0.472 0.000 0.300 0.000 0.164 0.064
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.2730 0.431746 0.192 0.000 0.000 0.000 0.808 0.000
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#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.824187 0.000 1.000 0.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.3125 0.502299 0.024 0.000 0.856 0.000 0.056 0.064
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 5 0.5831 0.095702 0.052 0.000 0.388 0.000 0.496 0.064
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.1075 0.503403 0.048 0.000 0.000 0.000 0.952 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.6877 0.426484 0.488 0.000 0.232 0.000 0.172 0.108
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 17469 rows and 309 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 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 0.963 0.985 0.4227 0.575 0.575
#> 3 3 0.560 0.661 0.857 0.4702 0.786 0.639
#> 4 4 0.689 0.727 0.871 0.1522 0.817 0.581
#> 5 5 0.715 0.740 0.833 0.0917 0.868 0.590
#> 6 6 0.729 0.695 0.814 0.0399 0.910 0.636
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.4161 0.891 0.084 0.916
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.0000 0.991 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.5178 0.866 0.884 0.116
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.991 1.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.991 1.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.991 1.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 2 0.0000 0.969 0.000 1.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.969 0.000 1.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.0000 0.991 1.000 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.991 1.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.991 1.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.991 1.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.0000 0.991 1.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.969 0.000 1.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.0376 0.987 0.996 0.004
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.0000 0.991 1.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.0000 0.991 1.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.991 1.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.991 1.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0000 0.991 1.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.969 0.000 1.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.991 1.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.991 1.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.991 1.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.0000 0.991 1.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0000 0.991 1.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.0000 0.991 1.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0000 0.991 1.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.969 0.000 1.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.969 0.000 1.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.991 1.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.991 1.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.991 1.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.991 1.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.969 0.000 1.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.8443 0.621 0.728 0.272
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.0000 0.991 1.000 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.969 0.000 1.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.991 1.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.991 1.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.969 0.000 1.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.0000 0.991 1.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 2 0.5946 0.826 0.144 0.856
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.991 1.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.0000 0.991 1.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0000 0.991 1.000 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.991 1.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.969 0.000 1.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.0000 0.991 1.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.969 0.000 1.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.991 1.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0000 0.969 0.000 1.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.0000 0.991 1.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.0000 0.991 1.000 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0000 0.991 1.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.2043 0.960 0.968 0.032
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 1 0.0000 0.991 1.000 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.0000 0.991 1.000 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.969 0.000 1.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.991 1.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.991 1.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 2 0.8909 0.577 0.308 0.692
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.0000 0.991 1.000 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.991 1.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.969 0.000 1.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 1 0.7674 0.707 0.776 0.224
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.991 1.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.0000 0.991 1.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 1 0.0000 0.991 1.000 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.969 0.000 1.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0000 0.991 1.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0000 0.991 1.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.0000 0.991 1.000 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0000 0.991 1.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.0000 0.991 1.000 0.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.991 1.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0000 0.991 1.000 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.969 0.000 1.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 1 0.3431 0.927 0.936 0.064
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.0000 0.969 0.000 1.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0000 0.991 1.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 2 0.0000 0.969 0.000 1.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0000 0.991 1.000 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.991 1.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.991 1.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.0000 0.991 1.000 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.0000 0.991 1.000 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.969 0.000 1.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0000 0.969 0.000 1.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 1 0.0000 0.991 1.000 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0000 0.991 1.000 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.0000 0.991 1.000 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.969 0.000 1.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.0000 0.991 1.000 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0000 0.991 1.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0000 0.991 1.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 2 0.9850 0.269 0.428 0.572
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.1843 0.964 0.972 0.028
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.0000 0.991 1.000 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 1 0.0000 0.991 1.000 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 1 0.0000 0.991 1.000 0.000
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.969 0.000 1.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.969 0.000 1.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.0000 0.991 1.000 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.0000 0.991 1.000 0.000
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.969 0.000 1.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 2 0.0000 0.969 0.000 1.000
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 1 0.0000 0.991 1.000 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.0000 0.991 1.000 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 2 0.0000 0.969 0.000 1.000
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.969 0.000 1.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.4431 0.893 0.908 0.092
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 1 0.0000 0.991 1.000 0.000
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 1 0.0000 0.991 1.000 0.000
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.0000 0.991 1.000 0.000
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.0000 0.991 1.000 0.000
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.0000 0.991 1.000 0.000
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.0000 0.991 1.000 0.000
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.0000 0.991 1.000 0.000
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.0000 0.991 1.000 0.000
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.0000 0.991 1.000 0.000
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.0000 0.991 1.000 0.000
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 1 0.0000 0.991 1.000 0.000
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.0000 0.991 1.000 0.000
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 2 0.9710 0.369 0.400 0.600
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 2 0.0000 0.969 0.000 1.000
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 2 0.0000 0.969 0.000 1.000
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.0000 0.991 1.000 0.000
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 1 0.0000 0.991 1.000 0.000
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 1 0.0000 0.991 1.000 0.000
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 1 0.7883 0.679 0.764 0.236
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.0000 0.991 1.000 0.000
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.0000 0.969 0.000 1.000
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 1 0.0000 0.991 1.000 0.000
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.0000 0.969 0.000 1.000
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0000 0.969 0.000 1.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.0000 0.991 1.000 0.000
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0000 0.969 0.000 1.000
#> 9492A322-37CA-4582-AC68-66B5D80778AF 2 0.0000 0.969 0.000 1.000
#> 993399A4-1B9F-4258-B2D0-155AD58A2E82 1 0.0000 0.991 1.000 0.000
#> 7B7DC93D-5494-4E69-BE07-2967887182F9 1 0.0000 0.991 1.000 0.000
#> 29BCBA51-2580-473D-9CF7-BEDBD0DBAD1B 2 0.0000 0.969 0.000 1.000
#> 40855647-E942-4F32-90B7-BEB921929BFB 1 0.0000 0.991 1.000 0.000
#> 0DC723D0-7C68-4495-A4B9-2DF2FF19AB14 2 0.0000 0.969 0.000 1.000
#> 7540005F-57E0-4E2E-A8A2-BEF2B0F333B1 2 0.0000 0.969 0.000 1.000
#> EB1DDB14-4076-4C2C-B911-390C17C21486 1 0.0000 0.991 1.000 0.000
#> 9EA70EC4-8BA0-4E3D-B3CB-A68D19E89868 1 0.0000 0.991 1.000 0.000
#> B04E2E50-0A6E-4224-A825-1714D12E5669 2 0.0000 0.969 0.000 1.000
#> B0BF5E01-536D-40FF-9C24-CBBD611E2FC2 1 0.0000 0.991 1.000 0.000
#> 7B6B1788-B297-4442-B6BE-B7CE8754491E 1 0.0000 0.991 1.000 0.000
#> A090D00C-34DF-4906-A517-4803C4C9A332 1 0.0000 0.991 1.000 0.000
#> 340D44A6-9BEA-412C-9973-D9ABD6692255 1 0.0000 0.991 1.000 0.000
#> E8D0D1E7-E5A8-4014-80C1-0245F90F4358 2 0.0000 0.969 0.000 1.000
#> 19EA1494-8572-40E1-B9BB-3739F47B607D 1 0.0000 0.991 1.000 0.000
#> 1C1B4793-8DAF-4763-BA4D-C4E869A4ED35 2 0.8763 0.600 0.296 0.704
#> 45BF59B3-95BD-4196-ABAA-4C4F0DB38572 2 0.0000 0.969 0.000 1.000
#> 47B5A2A7-7E13-4558-99D2-067F5075C6A4 1 0.0000 0.991 1.000 0.000
#> E94638E8-CB51-4FBB-8BCB-4BFD7A812291 1 0.0000 0.991 1.000 0.000
#> A17352A8-0D3C-4545-8136-7DAE2FB0E102 2 0.0000 0.969 0.000 1.000
#> B18A6F95-D4ED-416B-B5A1-9A4934865D0D 2 0.0000 0.969 0.000 1.000
#> 33E92C5F-0C42-4549-AD5B-0A064182A272 1 0.0000 0.991 1.000 0.000
#> E041B375-3E60-4F18-A6EF-D1C249E3B8EE 1 0.0000 0.991 1.000 0.000
#> EDF90AF6-6C64-4BD2-AADF-8D7D188650B2 2 0.0000 0.969 0.000 1.000
#> 569320D2-316C-4E2D-B7B3-D7D5C4DAD42D 1 0.0000 0.991 1.000 0.000
#> AFFB223D-DAE9-4567-9EF2-8E4DF9D8782D 2 0.0000 0.969 0.000 1.000
#> 56FC9454-0A6A-4CC3-95C4-BE0E0D0BAFCE 2 0.0000 0.969 0.000 1.000
#> 43226365-FAEF-46C5-AF1B-5C6C2BED84FF 1 0.3879 0.913 0.924 0.076
#> 1536110A-B42A-4A84-9474-9895321FDCE9 2 0.0000 0.969 0.000 1.000
#> 812255DD-536B-4216-90B1-27D5AB339BE2 1 0.0000 0.991 1.000 0.000
#> 5D4563D6-68B7-4C9D-A3F4-AA7D45D5112C 2 0.0000 0.969 0.000 1.000
#> BAA39781-DB94-473C-98B1-FA6CD3E1C67A 1 0.0000 0.991 1.000 0.000
#> C1411CDA-814D-4E21-8929-C0F77858828F 1 0.0000 0.991 1.000 0.000
#> EFE2F248-C13E-4E8D-9153-8C903848AC4A 1 0.3274 0.930 0.940 0.060
#> D3939C84-D1D6-4060-9F91-AEB222A9BDD5 1 0.0000 0.991 1.000 0.000
#> EABD2987-8C1E-49E5-94AF-C0BDE5335A48 1 0.0000 0.991 1.000 0.000
#> F4BE2ABE-2CEB-4A6A-B8EC-0355F8C63B9B 1 0.0000 0.991 1.000 0.000
#> 627BC251-D217-4955-B718-6B9D6DEA1756 1 0.0000 0.991 1.000 0.000
#> 31B54613-A20E-4039-BB8B-9B52104CE418 1 0.0000 0.991 1.000 0.000
#> 3F292B7C-A535-4DBD-BC20-CB4F85A1C94B 1 0.0000 0.991 1.000 0.000
#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 2 0.0000 0.969 0.000 1.000
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.0000 0.969 0.000 1.000
#> 4588817E-1068-4A78-86B6-4674A0112DDA 1 0.0000 0.991 1.000 0.000
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 2 0.0000 0.969 0.000 1.000
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.0000 0.991 1.000 0.000
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.0000 0.991 1.000 0.000
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.0000 0.969 0.000 1.000
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.0000 0.991 1.000 0.000
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 1 0.0000 0.991 1.000 0.000
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.0000 0.969 0.000 1.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.0000 0.969 0.000 1.000
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.0000 0.969 0.000 1.000
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.0000 0.991 1.000 0.000
#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.0000 0.991 1.000 0.000
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.0000 0.991 1.000 0.000
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.0000 0.991 1.000 0.000
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.0000 0.991 1.000 0.000
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0000 0.969 0.000 1.000
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.0000 0.991 1.000 0.000
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.0000 0.991 1.000 0.000
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.0000 0.991 1.000 0.000
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.0000 0.991 1.000 0.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 2 0.6623 0.791 0.172 0.828
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.0000 0.991 1.000 0.000
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0000 0.991 1.000 0.000
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.0000 0.991 1.000 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.0000 0.991 1.000 0.000
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0000 0.991 1.000 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 2 0.9944 0.203 0.456 0.544
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.0000 0.991 1.000 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0000 0.969 0.000 1.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.0000 0.969 0.000 1.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.0000 0.991 1.000 0.000
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.0000 0.991 1.000 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0000 0.991 1.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.0000 0.991 1.000 0.000
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0000 0.991 1.000 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.0000 0.969 0.000 1.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.0000 0.991 1.000 0.000
#> DD51C17C-300F-44A4-955A-C9BC85417842 1 0.4431 0.895 0.908 0.092
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0000 0.991 1.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.0000 0.991 1.000 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.0000 0.969 0.000 1.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 1 0.0000 0.991 1.000 0.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.969 0.000 1.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.969 0.000 1.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.969 0.000 1.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.0000 0.991 1.000 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 2 0.0000 0.969 0.000 1.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.0000 0.991 1.000 0.000
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0000 0.991 1.000 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0000 0.991 1.000 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.0000 0.991 1.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.5178 0.865 0.884 0.116
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.0000 0.991 1.000 0.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0000 0.991 1.000 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.969 0.000 1.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.0000 0.991 1.000 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.0000 0.991 1.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.0000 0.991 1.000 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.969 0.000 1.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.969 0.000 1.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.991 1.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.969 0.000 1.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.969 0.000 1.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0000 0.991 1.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0000 0.991 1.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.969 0.000 1.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.969 0.000 1.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 2 0.0000 0.969 0.000 1.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.991 1.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0000 0.991 1.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.969 0.000 1.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0000 0.991 1.000 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.969 0.000 1.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.991 1.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.991 1.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.991 1.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.0000 0.991 1.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.991 1.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.969 0.000 1.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.991 1.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.991 1.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0000 0.991 1.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0000 0.991 1.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 2 0.1184 0.955 0.016 0.984
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.991 1.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0000 0.991 1.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.0000 0.991 1.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 2 0.0000 0.969 0.000 1.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0000 0.991 1.000 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.0000 0.991 1.000 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.991 1.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.969 0.000 1.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.991 1.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.7376 0.743 0.208 0.792
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.991 1.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.991 1.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.991 1.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.969 0.000 1.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.0000 0.991 1.000 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 2 0.9460 0.441 0.364 0.636
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.0000 0.991 1.000 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.0000 0.969 0.000 1.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.0000 0.991 1.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.9833 0.224 0.576 0.424
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.991 1.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.991 1.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.969 0.000 1.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.991 1.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.969 0.000 1.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.991 1.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.0000 0.991 1.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.0376 0.987 0.996 0.004
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.969 0.000 1.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.991 1.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.991 1.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.2603 0.948 0.956 0.044
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.0000 0.991 1.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.0376 0.987 0.996 0.004
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.0000 0.991 1.000 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.991 1.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.991 1.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.991 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.969 0.000 1.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.969 0.000 1.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.0000 0.991 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.991 1.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.991 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.6045 0.0941 0.000 0.380 0.620
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.3941 0.6782 0.156 0.000 0.844
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.4784 0.6377 0.200 0.004 0.796
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.5216 0.5904 0.740 0.000 0.260
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.8094 1.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.8094 1.000 0.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.4504 0.5659 0.000 0.196 0.804
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9168 0.000 1.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.6235 0.1124 0.564 0.000 0.436
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.5926 0.4499 0.644 0.000 0.356
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.8094 1.000 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.5529 0.5400 0.704 0.000 0.296
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.3551 0.6946 0.132 0.000 0.868
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0424 0.9129 0.000 0.992 0.008
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.8644 0.2123 0.400 0.104 0.496
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.3816 0.6910 0.148 0.000 0.852
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.6192 0.1599 0.580 0.000 0.420
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#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.0000 0.8094 1.000 0.000 0.000
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.4062 0.6990 0.836 0.000 0.164
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.0000 0.8094 1.000 0.000 0.000
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0000 0.9168 0.000 1.000 0.000
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.6291 -0.0386 0.532 0.000 0.468
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.4555 0.6032 0.800 0.000 0.200
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.0424 0.8053 0.992 0.000 0.008
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.0000 0.8094 1.000 0.000 0.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 2 0.6079 0.4012 0.000 0.612 0.388
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.6008 0.2812 0.628 0.000 0.372
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0000 0.8094 1.000 0.000 0.000
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.5760 0.4907 0.672 0.000 0.328
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.0000 0.8094 1.000 0.000 0.000
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0424 0.8069 0.992 0.000 0.008
#> 9EEECA0E-530D-4724-B016-A716F0782148 3 0.2448 0.6345 0.000 0.076 0.924
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.5835 0.3741 0.660 0.000 0.340
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0000 0.9168 0.000 1.000 0.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.6062 0.5224 0.000 0.616 0.384
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 3 0.6295 0.0203 0.472 0.000 0.528
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.6045 0.4009 0.620 0.000 0.380
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0000 0.8094 1.000 0.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.0000 0.8094 1.000 0.000 0.000
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0000 0.8094 1.000 0.000 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.0000 0.9168 0.000 1.000 0.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 3 0.5327 0.5451 0.272 0.000 0.728
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.0829 0.6891 0.012 0.004 0.984
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0000 0.8094 1.000 0.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.5138 0.5444 0.748 0.000 0.252
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.4555 0.7491 0.000 0.800 0.200
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.6267 0.2337 0.452 0.000 0.548
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.9168 0.000 1.000 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.9168 0.000 1.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.9168 0.000 1.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.5785 0.3699 0.668 0.000 0.332
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.4702 0.5775 0.000 0.212 0.788
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.0000 0.8094 1.000 0.000 0.000
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0000 0.8094 1.000 0.000 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0000 0.8094 1.000 0.000 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.3551 0.6946 0.132 0.000 0.868
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.3193 0.7058 0.100 0.004 0.896
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.1399 0.7883 0.968 0.028 0.004
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0000 0.8094 1.000 0.000 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.9168 0.000 1.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.5706 0.5050 0.680 0.000 0.320
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.3116 0.7036 0.108 0.000 0.892
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.5465 0.5552 0.712 0.000 0.288
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.5859 0.5905 0.000 0.656 0.344
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.9168 0.000 1.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.8094 1.000 0.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0237 0.9149 0.000 0.996 0.004
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.9168 0.000 1.000 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.5810 0.4216 0.336 0.000 0.664
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.3192 0.7457 0.888 0.000 0.112
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.9168 0.000 1.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.9168 0.000 1.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.1411 0.6762 0.000 0.036 0.964
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.8094 1.000 0.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0747 0.8020 0.984 0.000 0.016
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0237 0.9149 0.000 0.996 0.004
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.6079 0.2102 0.612 0.000 0.388
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0237 0.9149 0.000 0.996 0.004
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.8094 1.000 0.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.8094 1.000 0.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.5760 0.4907 0.672 0.000 0.328
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.5882 0.3308 0.652 0.000 0.348
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.4235 0.6567 0.824 0.000 0.176
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.9168 0.000 1.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.2066 0.7741 0.940 0.000 0.060
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.8094 1.000 0.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.4178 0.6495 0.828 0.000 0.172
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.5948 0.3613 0.360 0.000 0.640
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 2 0.7748 0.2099 0.064 0.596 0.340
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.8094 1.000 0.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.6062 0.3954 0.616 0.000 0.384
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.6308 0.0882 0.508 0.000 0.492
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 2 0.4709 0.7780 0.092 0.852 0.056
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 3 0.5859 0.4626 0.344 0.000 0.656
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.6295 0.0221 0.472 0.000 0.528
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.8094 1.000 0.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.9168 0.000 1.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.5760 0.4907 0.672 0.000 0.328
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 3 0.6126 0.0345 0.000 0.400 0.600
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.8094 1.000 0.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.5835 0.4778 0.660 0.000 0.340
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.8094 1.000 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.9168 0.000 1.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.0237 0.6814 0.004 0.000 0.996
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.2056 0.6951 0.024 0.024 0.952
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.2165 0.6921 0.064 0.000 0.936
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.0000 0.9168 0.000 1.000 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.5560 0.4414 0.700 0.000 0.300
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.5988 0.5352 0.056 0.168 0.776
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0424 0.8068 0.992 0.000 0.008
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.8094 1.000 0.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.4702 0.7555 0.000 0.788 0.212
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.5216 0.5902 0.740 0.000 0.260
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 3 0.6140 0.0339 0.000 0.404 0.596
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.5882 0.4573 0.652 0.000 0.348
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.5058 0.5854 0.244 0.000 0.756
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.0000 0.6795 0.000 0.000 1.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.9168 0.000 1.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.5835 0.4770 0.660 0.000 0.340
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.8094 1.000 0.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.6180 0.4807 0.660 0.008 0.332
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.2796 0.7066 0.092 0.000 0.908
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.7699 0.0127 0.532 0.048 0.420
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.5948 0.4442 0.640 0.000 0.360
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.6079 0.3866 0.612 0.000 0.388
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.5760 0.4907 0.672 0.000 0.328
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.8094 1.000 0.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9168 0.000 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9168 0.000 1.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0424 0.6852 0.008 0.000 0.992
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.5760 0.4907 0.672 0.000 0.328
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.8094 1.000 0.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.8094 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.0707 0.833 0.000 0.020 0.000 0.980
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.800 0.000 0.000 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.0188 0.799 0.000 0.000 0.996 0.004
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.4761 0.554 0.664 0.000 0.332 0.004
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.822 1.000 0.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.3025 0.750 0.004 0.056 0.896 0.044
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 4 0.1716 0.816 0.064 0.000 0.000 0.936
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.7278 0.430 0.528 0.000 0.188 0.284
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.4713 0.487 0.640 0.000 0.000 0.360
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.800 0.000 0.000 1.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.4972 0.135 0.000 0.544 0.000 0.456
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.3052 0.751 0.008 0.032 0.896 0.064
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0376 0.799 0.004 0.000 0.992 0.004
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.3172 0.726 0.160 0.000 0.840 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.822 1.000 0.000 0.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.4585 0.565 0.332 0.000 0.668 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.822 1.000 0.000 0.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.2921 0.748 0.860 0.000 0.140 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.5906 0.554 0.644 0.000 0.292 0.064
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.3123 0.682 0.000 0.000 0.844 0.156
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0188 0.799 0.004 0.000 0.996 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.4477 0.591 0.312 0.000 0.688 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.3448 0.697 0.828 0.000 0.004 0.168
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.1211 0.808 0.960 0.000 0.040 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.6373 0.321 0.004 0.356 0.576 0.064
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.5028 0.206 0.596 0.000 0.004 0.400
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.3837 0.679 0.776 0.000 0.224 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0469 0.942 0.000 0.988 0.000 0.012
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0188 0.800 0.004 0.000 0.996 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.4331 0.500 0.000 0.000 0.712 0.288
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.5244 0.318 0.556 0.000 0.008 0.436
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.4817 0.480 0.388 0.000 0.612 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0707 0.814 0.980 0.000 0.020 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0657 0.798 0.012 0.000 0.984 0.004
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.1716 0.832 0.000 0.064 0.000 0.936
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.4866 0.400 0.596 0.000 0.000 0.404
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.4746 0.390 0.000 0.632 0.000 0.368
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0000 0.800 0.000 0.000 1.000 0.000
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#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 4 0.5050 0.363 0.408 0.000 0.004 0.588
#> B2088466-FA5D-491C-9982-99B33683E66F 4 0.4933 0.226 0.000 0.432 0.000 0.568
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.0188 0.800 0.004 0.000 0.996 0.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.3907 0.673 0.232 0.000 0.768 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.0336 0.798 0.000 0.008 0.992 0.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.0000 0.800 0.000 0.000 1.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.0188 0.799 0.000 0.000 0.996 0.004
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.5467 0.489 0.612 0.000 0.364 0.024
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.0188 0.799 0.000 0.000 0.996 0.004
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.5466 0.347 0.548 0.000 0.436 0.016
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 4 0.1557 0.833 0.000 0.056 0.000 0.944
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.2216 0.863 0.000 0.908 0.000 0.092
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.0000 0.800 0.000 0.000 1.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.4855 0.450 0.600 0.000 0.400 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.0336 0.798 0.000 0.000 0.992 0.008
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.4989 -0.128 0.528 0.000 0.472 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.1474 0.906 0.000 0.948 0.000 0.052
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.4567 0.556 0.740 0.000 0.016 0.244
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.2921 0.805 0.000 0.860 0.000 0.140
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.6123 0.489 0.600 0.000 0.336 0.064
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.4585 0.565 0.332 0.000 0.668 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 4 0.3074 0.758 0.152 0.000 0.000 0.848
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.4746 0.513 0.368 0.000 0.632 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.822 1.000 0.000 0.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.1389 0.795 0.952 0.000 0.048 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.0188 0.799 0.000 0.000 0.996 0.004
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 2 0.6343 0.343 0.004 0.596 0.332 0.068
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.822 1.000 0.000 0.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 3 0.3933 0.620 0.200 0.000 0.792 0.008
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.0000 0.800 0.000 0.000 1.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 4 0.7822 0.200 0.256 0.364 0.000 0.380
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 3 0.4590 0.606 0.036 0.000 0.772 0.192
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.2830 0.756 0.060 0.000 0.900 0.040
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0921 0.814 0.972 0.000 0.028 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.6170 0.491 0.600 0.000 0.332 0.068
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 4 0.1118 0.834 0.000 0.036 0.000 0.964
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 3 0.5290 0.111 0.404 0.000 0.584 0.012
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 4 0.0000 0.829 0.000 0.000 0.000 1.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.0376 0.797 0.004 0.000 0.992 0.004
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 4 0.4761 0.400 0.004 0.000 0.332 0.664
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.4585 0.565 0.332 0.000 0.668 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 4 0.1637 0.814 0.000 0.000 0.060 0.940
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.822 1.000 0.000 0.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 4 0.2011 0.825 0.000 0.080 0.000 0.920
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.5090 0.554 0.660 0.000 0.324 0.016
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.0000 0.829 0.000 0.000 0.000 1.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.4907 0.364 0.580 0.000 0.000 0.420
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.1520 0.786 0.020 0.000 0.956 0.024
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.1792 0.767 0.000 0.000 0.932 0.068
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0188 0.948 0.004 0.996 0.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.6462 0.473 0.580 0.000 0.332 0.088
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.822 1.000 0.000 0.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.7357 0.378 0.500 0.000 0.320 0.180
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0188 0.799 0.000 0.000 0.996 0.004
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.5344 0.589 0.300 0.032 0.668 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.7775 0.009 0.240 0.000 0.380 0.380
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.4609 0.567 0.224 0.000 0.752 0.024
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.5809 0.625 0.692 0.000 0.216 0.092
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.952 0.000 1.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0336 0.798 0.000 0.000 0.992 0.008
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.6041 0.499 0.608 0.000 0.332 0.060
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0188 0.823 0.996 0.000 0.004 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.822 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.1851 0.7831 0.088 0.000 0.000 0.912 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.2966 0.8183 0.136 0.000 0.848 0.016 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.3684 0.7503 0.720 0.000 0.000 0.000 0.280
#> 78F79407-D49F-4FA2-B09F-0665C502827C 5 0.2813 0.7529 0.168 0.000 0.000 0.000 0.832
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.3424 0.6533 0.240 0.000 0.000 0.000 0.760
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.5195 0.1632 0.536 0.044 0.420 0.000 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9597 0.000 1.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 4 0.4021 0.7222 0.200 0.000 0.000 0.764 0.036
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.4660 0.7413 0.728 0.000 0.000 0.080 0.192
#> B710293C-41D3-4A2E-8104-5402F91DD859 5 0.2471 0.7627 0.136 0.000 0.000 0.000 0.864
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 5 0.4588 0.6080 0.116 0.000 0.000 0.136 0.748
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.4592 0.4279 0.024 0.332 0.000 0.644 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.5697 0.5069 0.620 0.020 0.292 0.000 0.068
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0162 0.9066 0.004 0.000 0.996 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 5 0.3143 0.7254 0.204 0.000 0.000 0.000 0.796
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.1732 0.7368 0.080 0.000 0.000 0.000 0.920
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.1331 0.8882 0.040 0.000 0.952 0.000 0.008
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9597 0.000 1.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 5 0.2813 0.7399 0.168 0.000 0.000 0.000 0.832
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 5 0.3684 0.4369 0.280 0.000 0.000 0.000 0.720
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.3561 0.7518 0.740 0.000 0.000 0.000 0.260
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 5 0.0510 0.7625 0.016 0.000 0.000 0.000 0.984
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.1485 0.8844 0.020 0.000 0.948 0.000 0.032
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0703 0.9524 0.024 0.976 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0703 0.9524 0.024 0.976 0.000 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 5 0.2891 0.7558 0.176 0.000 0.000 0.000 0.824
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 4 0.6455 0.4918 0.236 0.000 0.000 0.500 0.264
#> 904EDF2E-411E-43BD-901D-46129AFA283A 5 0.2966 0.6958 0.184 0.000 0.000 0.000 0.816
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 5 0.0794 0.7678 0.028 0.000 0.000 0.000 0.972
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.9597 0.000 1.000 0.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.6085 0.6375 0.668 0.168 0.080 0.000 0.084
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.5680 0.5408 0.240 0.000 0.000 0.140 0.620
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.9597 0.000 1.000 0.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 5 0.4192 0.2929 0.404 0.000 0.000 0.000 0.596
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 5 0.1732 0.7570 0.080 0.000 0.000 0.000 0.920
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0794 0.9408 0.000 0.972 0.000 0.028 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0162 0.9066 0.004 0.000 0.996 0.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0162 0.9066 0.004 0.000 0.996 0.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.5277 0.7055 0.664 0.000 0.000 0.108 0.228
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.3326 0.7990 0.024 0.000 0.824 0.000 0.152
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 5 0.4523 0.7317 0.212 0.000 0.032 0.016 0.740
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 5 0.3480 0.6870 0.248 0.000 0.000 0.000 0.752
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9597 0.000 1.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0162 0.9066 0.004 0.000 0.996 0.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.0609 0.7893 0.020 0.000 0.000 0.980 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 4 0.6401 0.0586 0.184 0.000 0.000 0.480 0.336
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.4484 0.5719 0.024 0.668 0.000 0.308 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.4082 0.7651 0.740 0.000 0.008 0.012 0.240
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.3837 0.7443 0.692 0.000 0.000 0.000 0.308
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.0162 0.9066 0.004 0.000 0.996 0.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 4 0.5091 0.6776 0.236 0.000 0.000 0.676 0.088
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.2236 0.9053 0.024 0.908 0.000 0.068 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.3876 0.7356 0.684 0.000 0.000 0.000 0.316
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.3074 0.7563 0.196 0.000 0.000 0.000 0.804
#> 09758B6F-1B2D-4AED-8913-696097069409 4 0.2648 0.7628 0.152 0.000 0.000 0.848 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 4 0.5837 0.6350 0.208 0.000 0.004 0.624 0.164
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 5 0.3707 0.6212 0.284 0.000 0.000 0.000 0.716
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9597 0.000 1.000 0.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.0162 0.9066 0.004 0.000 0.996 0.000 0.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 5 0.2732 0.7417 0.160 0.000 0.000 0.000 0.840
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 3 0.2233 0.8500 0.004 0.000 0.892 0.000 0.104
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#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.9597 0.000 1.000 0.000 0.000 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.9597 0.000 1.000 0.000 0.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0703 0.9524 0.024 0.976 0.000 0.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.0162 0.9066 0.004 0.000 0.996 0.000 0.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 5 0.3086 0.7610 0.180 0.000 0.000 0.004 0.816
#> B55743F2-4D63-4375-85D3-F58281CFD852 5 0.0703 0.7601 0.024 0.000 0.000 0.000 0.976
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 5 0.1851 0.7697 0.088 0.000 0.000 0.000 0.912
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 5 0.2891 0.7311 0.176 0.000 0.000 0.000 0.824
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 5 0.0609 0.7613 0.020 0.000 0.000 0.000 0.980
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.9597 0.000 1.000 0.000 0.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.4030 0.7181 0.648 0.000 0.000 0.000 0.352
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.0162 0.9066 0.004 0.000 0.996 0.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.4114 0.6998 0.624 0.000 0.000 0.000 0.376
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 4 0.0963 0.7847 0.036 0.000 0.000 0.964 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0703 0.9524 0.024 0.976 0.000 0.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 5 0.1197 0.7665 0.048 0.000 0.000 0.000 0.952
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.3527 0.7926 0.024 0.804 0.000 0.172 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0703 0.9524 0.024 0.976 0.000 0.000 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.0404 0.9027 0.000 0.000 0.988 0.000 0.012
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.4101 0.6766 0.628 0.000 0.000 0.000 0.372
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.9597 0.000 1.000 0.000 0.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.9597 0.000 1.000 0.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.0162 0.9066 0.004 0.000 0.996 0.000 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 5 0.1121 0.7531 0.044 0.000 0.000 0.000 0.956
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 3 0.3809 0.6905 0.008 0.000 0.736 0.000 0.256
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.1741 0.9293 0.024 0.936 0.000 0.040 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 5 0.5815 0.5562 0.232 0.000 0.016 0.112 0.640
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.3565 0.7875 0.024 0.800 0.000 0.176 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 5 0.0880 0.7711 0.032 0.000 0.000 0.000 0.968
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 5 0.1270 0.7498 0.052 0.000 0.000 0.000 0.948
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.3424 0.7496 0.760 0.000 0.000 0.000 0.240
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.3359 0.8132 0.052 0.000 0.840 0.000 0.108
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 4 0.4815 0.5719 0.064 0.000 0.000 0.692 0.244
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.9597 0.000 1.000 0.000 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.1544 0.8738 0.000 0.000 0.932 0.000 0.068
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 5 0.2690 0.7629 0.156 0.000 0.000 0.000 0.844
#> D365A238-4739-4B54-9608-DC548F21C04E 5 0.5027 0.5949 0.196 0.000 0.032 0.048 0.724
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.2966 0.7376 0.184 0.000 0.816 0.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.5737 0.5874 0.660 0.224 0.000 0.028 0.088
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 5 0.2966 0.7411 0.184 0.000 0.000 0.000 0.816
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 3 0.5562 0.5335 0.156 0.000 0.644 0.000 0.200
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.1788 0.8755 0.004 0.008 0.932 0.000 0.056
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 4 0.7188 0.4756 0.096 0.280 0.000 0.520 0.104
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.7965 -0.1548 0.368 0.000 0.356 0.144 0.132
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.4980 0.3502 0.584 0.000 0.380 0.000 0.036
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 5 0.2929 0.7377 0.180 0.000 0.000 0.000 0.820
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.9597 0.000 1.000 0.000 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.3796 0.7488 0.700 0.000 0.000 0.000 0.300
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 4 0.1544 0.7875 0.068 0.000 0.000 0.932 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 5 0.2020 0.7684 0.100 0.000 0.000 0.000 0.900
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.5930 0.6234 0.516 0.000 0.112 0.000 0.372
#> EFE5A302-D138-4044-A301-5C5FD1C24836 5 0.1341 0.7649 0.056 0.000 0.000 0.000 0.944
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0703 0.9524 0.024 0.976 0.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 4 0.0963 0.7880 0.036 0.000 0.000 0.964 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.1965 0.8416 0.096 0.000 0.904 0.000 0.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.3636 0.4606 0.728 0.000 0.000 0.272 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.1544 0.9203 0.068 0.932 0.000 0.000 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.0162 0.9057 0.004 0.000 0.996 0.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 4 0.1211 0.7848 0.024 0.000 0.016 0.960 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 5 0.2605 0.7406 0.148 0.000 0.000 0.000 0.852
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 5 0.1671 0.7413 0.076 0.000 0.000 0.000 0.924
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 4 0.2648 0.7688 0.152 0.000 0.000 0.848 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.3707 0.7475 0.716 0.000 0.000 0.000 0.284
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.0963 0.7847 0.036 0.000 0.000 0.964 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 4 0.6552 0.0998 0.276 0.000 0.000 0.476 0.248
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.5264 0.5475 0.256 0.000 0.660 0.004 0.080
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.4171 0.3276 0.396 0.000 0.604 0.000 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.1830 0.9162 0.068 0.924 0.000 0.008 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.4136 0.7528 0.764 0.000 0.000 0.048 0.188
#> 6752EED9-7990-433F-A206-D5398C396471 5 0.2852 0.7495 0.172 0.000 0.000 0.000 0.828
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.3731 0.7413 0.800 0.000 0.000 0.040 0.160
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.1800 0.8779 0.048 0.000 0.932 0.000 0.020
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.4133 0.6307 0.768 0.000 0.000 0.180 0.052
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.5851 0.3900 0.140 0.000 0.588 0.000 0.272
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.3586 0.7596 0.736 0.000 0.000 0.000 0.264
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.0000 0.7651 0.000 0.000 0.000 0.000 1.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9597 0.000 1.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9597 0.000 1.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.9068 0.000 0.000 1.000 0.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.3305 0.7442 0.776 0.000 0.000 0.000 0.224
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.3109 0.7558 0.200 0.000 0.000 0.000 0.800
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 5 0.3242 0.7430 0.216 0.000 0.000 0.000 0.784
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 5 0.3023 0.7124 0.000 0.000 0.000 0.212 0.784 0.004
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0146 0.8882 0.000 0.000 0.996 0.000 0.004 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 5 0.3674 0.5766 0.000 0.000 0.268 0.000 0.716 0.016
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.3765 0.5454 0.596 0.000 0.000 0.000 0.000 0.404
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.3198 0.7366 0.740 0.000 0.000 0.000 0.000 0.260
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.4400 0.4113 0.592 0.000 0.000 0.000 0.376 0.032
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 6 0.5144 0.3605 0.000 0.100 0.340 0.000 0.000 0.560
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.8797 0.000 1.000 0.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.2320 0.7663 0.024 0.000 0.000 0.080 0.892 0.004
#> 53062969-D209-490B-9C9B-5D297625E2AE 6 0.5222 0.0340 0.080 0.000 0.000 0.416 0.004 0.500
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.3213 0.7577 0.808 0.000 0.000 0.000 0.032 0.160
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.4596 0.4952 0.672 0.000 0.000 0.240 0.000 0.088
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.8891 0.000 0.000 1.000 0.000 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.5454 0.7092 0.000 0.676 0.000 0.144 0.092 0.088
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 6 0.4650 0.5413 0.052 0.000 0.264 0.008 0.004 0.672
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.8891 0.000 0.000 1.000 0.000 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0146 0.8882 0.000 0.000 0.996 0.000 0.004 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.3670 0.7187 0.704 0.000 0.000 0.000 0.012 0.284
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.1910 0.6767 0.892 0.000 0.000 0.000 0.108 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.1610 0.8459 0.000 0.000 0.916 0.000 0.084 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.8797 0.000 1.000 0.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.3076 0.7392 0.760 0.000 0.000 0.000 0.000 0.240
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0790 0.7438 0.968 0.000 0.000 0.000 0.000 0.032
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 6 0.2309 0.7165 0.084 0.000 0.000 0.000 0.028 0.888
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0146 0.8882 0.000 0.000 0.996 0.000 0.004 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0508 0.7333 0.984 0.000 0.000 0.000 0.012 0.004
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0000 0.8891 0.000 0.000 1.000 0.000 0.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.1462 0.8612 0.008 0.000 0.936 0.000 0.056 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.2283 0.8564 0.000 0.904 0.000 0.020 0.020 0.056
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.3270 0.8316 0.000 0.844 0.000 0.028 0.040 0.088
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.4435 0.7084 0.672 0.000 0.000 0.000 0.064 0.264
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.6429 0.1519 0.460 0.000 0.000 0.200 0.308 0.032
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.2996 0.7429 0.772 0.000 0.000 0.000 0.000 0.228
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0405 0.7336 0.988 0.000 0.000 0.000 0.008 0.004
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.8797 0.000 1.000 0.000 0.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 6 0.3386 0.6760 0.040 0.104 0.024 0.000 0.000 0.832
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.1194 0.7675 0.004 0.000 0.000 0.008 0.956 0.032
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.8797 0.000 1.000 0.000 0.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.3482 0.6879 0.684 0.000 0.000 0.000 0.000 0.316
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.1444 0.7522 0.928 0.000 0.000 0.000 0.000 0.072
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0260 0.8755 0.000 0.992 0.000 0.008 0.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0000 0.8891 0.000 0.000 1.000 0.000 0.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0000 0.8891 0.000 0.000 1.000 0.000 0.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 4 0.4963 0.4539 0.100 0.000 0.000 0.612 0.000 0.288
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.3975 0.6904 0.244 0.000 0.716 0.000 0.040 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.5534 0.5960 0.608 0.000 0.012 0.004 0.240 0.136
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.4408 0.5780 0.656 0.000 0.000 0.000 0.292 0.052
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.8797 0.000 1.000 0.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0000 0.8891 0.000 0.000 1.000 0.000 0.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.2511 0.6742 0.000 0.000 0.000 0.880 0.056 0.064
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 4 0.5523 0.3689 0.180 0.000 0.000 0.552 0.000 0.268
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.6771 0.3849 0.000 0.484 0.000 0.164 0.264 0.088
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0291 0.8878 0.004 0.000 0.992 0.000 0.004 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 6 0.2792 0.6859 0.036 0.000 0.004 0.072 0.012 0.876
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 6 0.2340 0.7098 0.148 0.000 0.000 0.000 0.000 0.852
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.0000 0.8891 0.000 0.000 1.000 0.000 0.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0146 0.8882 0.000 0.000 0.996 0.000 0.004 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 4 0.4915 0.5451 0.076 0.000 0.000 0.680 0.220 0.024
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.4487 0.7789 0.000 0.756 0.000 0.116 0.040 0.088
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.3101 0.7364 0.756 0.000 0.000 0.000 0.000 0.244
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.4024 0.7220 0.700 0.000 0.000 0.000 0.036 0.264
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#> B3073976-CA3F-4115-9243-8C2D9E1B975D 3 0.0363 0.8860 0.000 0.000 0.988 0.000 0.012 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0146 0.8792 0.000 0.996 0.000 0.000 0.004 0.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 4 0.1176 0.7376 0.000 0.000 0.000 0.956 0.020 0.024
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 6 0.3466 0.5802 0.008 0.000 0.000 0.008 0.224 0.760
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 6 0.5829 0.4294 0.244 0.000 0.000 0.060 0.096 0.600
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.4321 0.6517 0.740 0.000 0.160 0.000 0.008 0.092
#> C86EBD08-53F2-4972-801A-74970FDD6A62 5 0.1829 0.7516 0.024 0.000 0.000 0.000 0.920 0.056
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.5123 0.6235 0.616 0.000 0.000 0.000 0.244 0.140
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.0000 0.8797 0.000 1.000 0.000 0.000 0.000 0.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 6 0.2980 0.6252 0.008 0.000 0.192 0.000 0.000 0.800
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.0000 0.8891 0.000 0.000 1.000 0.000 0.000 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.2416 0.7594 0.844 0.000 0.000 0.000 0.000 0.156
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 5 0.1458 0.7672 0.020 0.000 0.000 0.016 0.948 0.016
#> B2088466-FA5D-491C-9982-99B33683E66F 5 0.5309 0.6194 0.000 0.092 0.000 0.128 0.692 0.088
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.0000 0.8891 0.000 0.000 1.000 0.000 0.000 0.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.8797 0.000 1.000 0.000 0.000 0.000 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.8797 0.000 1.000 0.000 0.000 0.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.3078 0.8374 0.000 0.856 0.000 0.028 0.032 0.084
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.0146 0.8882 0.000 0.000 0.996 0.000 0.004 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.0146 0.8876 0.000 0.004 0.996 0.000 0.000 0.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.4513 0.7028 0.724 0.000 0.000 0.008 0.116 0.152
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0146 0.7374 0.996 0.000 0.000 0.000 0.000 0.004
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.2793 0.7558 0.800 0.000 0.000 0.000 0.000 0.200
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.0000 0.8891 0.000 0.000 1.000 0.000 0.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.0000 0.8891 0.000 0.000 1.000 0.000 0.000 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.5711 0.4768 0.568 0.000 0.000 0.020 0.280 0.132
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0865 0.7184 0.964 0.000 0.000 0.000 0.036 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.8797 0.000 1.000 0.000 0.000 0.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.2854 0.7006 0.792 0.000 0.000 0.000 0.000 0.208
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.0000 0.8891 0.000 0.000 1.000 0.000 0.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 6 0.3198 0.6565 0.260 0.000 0.000 0.000 0.000 0.740
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 4 0.0632 0.7313 0.000 0.000 0.000 0.976 0.024 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.6003 0.1287 0.000 0.444 0.000 0.044 0.424 0.088
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0405 0.7379 0.988 0.000 0.000 0.000 0.004 0.008
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.4686 0.7647 0.000 0.736 0.000 0.136 0.040 0.088
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.2918 0.8409 0.000 0.864 0.000 0.020 0.032 0.084
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.0363 0.8843 0.012 0.000 0.988 0.000 0.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 6 0.3747 0.2546 0.396 0.000 0.000 0.000 0.000 0.604
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0260 0.8788 0.000 0.992 0.000 0.000 0.000 0.008
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.8797 0.000 1.000 0.000 0.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.0000 0.8891 0.000 0.000 1.000 0.000 0.000 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0937 0.7160 0.960 0.000 0.000 0.000 0.040 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 3 0.3986 0.6183 0.316 0.000 0.664 0.000 0.020 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.4266 0.7929 0.000 0.776 0.000 0.096 0.040 0.088
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 5 0.1528 0.7658 0.028 0.000 0.000 0.016 0.944 0.012
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.4787 0.7580 0.000 0.728 0.000 0.140 0.044 0.088
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.2121 0.7638 0.892 0.000 0.000 0.000 0.012 0.096
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.1556 0.6996 0.920 0.000 0.000 0.000 0.080 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 6 0.1946 0.7127 0.072 0.000 0.000 0.012 0.004 0.912
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.3714 0.7329 0.196 0.000 0.760 0.000 0.044 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 4 0.3930 0.7110 0.096 0.000 0.000 0.796 0.024 0.084
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.8797 0.000 1.000 0.000 0.000 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.2442 0.8030 0.144 0.000 0.852 0.000 0.004 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 6 0.5826 0.1917 0.324 0.000 0.000 0.000 0.204 0.472
#> D365A238-4739-4B54-9608-DC548F21C04E 5 0.2086 0.7610 0.064 0.000 0.008 0.012 0.912 0.004
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.3950 0.1488 0.000 0.000 0.564 0.000 0.004 0.432
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 4 0.5449 0.3946 0.032 0.384 0.000 0.528 0.000 0.056
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.3555 0.7223 0.712 0.000 0.000 0.000 0.008 0.280
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 3 0.5016 0.5023 0.324 0.000 0.584 0.000 0.000 0.092
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.1950 0.8442 0.064 0.024 0.912 0.000 0.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 4 0.4990 0.6728 0.028 0.164 0.000 0.696 0.000 0.112
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 5 0.2437 0.7512 0.008 0.000 0.008 0.020 0.896 0.068
#> CCDB0290-91DA-4089-84A6-4434BA028D30 6 0.3853 0.5499 0.008 0.000 0.272 0.000 0.012 0.708
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 6 0.3717 0.2104 0.384 0.000 0.000 0.000 0.000 0.616
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.8797 0.000 1.000 0.000 0.000 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 6 0.2340 0.7099 0.148 0.000 0.000 0.000 0.000 0.852
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 5 0.3830 0.5309 0.000 0.000 0.000 0.376 0.620 0.004
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.2527 0.7632 0.832 0.000 0.000 0.000 0.000 0.168
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.5294 0.1744 0.532 0.000 0.356 0.000 0.000 0.112
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0146 0.7363 0.996 0.000 0.000 0.000 0.000 0.004
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.2345 0.8552 0.000 0.900 0.000 0.020 0.020 0.060
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 6 0.6112 -0.1253 0.000 0.000 0.000 0.332 0.300 0.368
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.2300 0.7557 0.000 0.000 0.856 0.000 0.000 0.144
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 6 0.3698 0.5910 0.000 0.000 0.000 0.096 0.116 0.788
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.3714 0.8079 0.000 0.800 0.000 0.020 0.044 0.136
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.0806 0.8807 0.008 0.000 0.972 0.000 0.020 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 4 0.0964 0.7339 0.012 0.000 0.000 0.968 0.016 0.004
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.2854 0.7505 0.792 0.000 0.000 0.000 0.000 0.208
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.1444 0.7069 0.928 0.000 0.000 0.000 0.072 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 5 0.3327 0.7293 0.000 0.000 0.000 0.092 0.820 0.088
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 6 0.2597 0.6729 0.176 0.000 0.000 0.000 0.000 0.824
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.1176 0.7376 0.000 0.000 0.000 0.956 0.020 0.024
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 4 0.5112 0.4355 0.112 0.000 0.000 0.592 0.000 0.296
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 6 0.5875 0.4072 0.044 0.000 0.304 0.004 0.084 0.564
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 6 0.3789 0.2811 0.000 0.000 0.416 0.000 0.000 0.584
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.4488 0.7364 0.000 0.724 0.000 0.036 0.040 0.200
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 6 0.2190 0.7057 0.060 0.000 0.000 0.040 0.000 0.900
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.3383 0.7327 0.728 0.000 0.000 0.000 0.004 0.268
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 6 0.1713 0.7022 0.044 0.000 0.000 0.028 0.000 0.928
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.8891 0.000 0.000 1.000 0.000 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.1007 0.8727 0.000 0.000 0.956 0.000 0.044 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 6 0.2066 0.6839 0.024 0.000 0.000 0.072 0.000 0.904
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.4763 0.5155 0.344 0.000 0.592 0.000 0.000 0.064
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.5926 0.3572 0.464 0.000 0.000 0.260 0.000 0.276
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0260 0.7331 0.992 0.000 0.000 0.000 0.008 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.8797 0.000 1.000 0.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.8797 0.000 1.000 0.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.8891 0.000 0.000 1.000 0.000 0.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 6 0.2376 0.7133 0.068 0.000 0.000 0.000 0.044 0.888
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.4634 0.7002 0.656 0.000 0.000 0.000 0.080 0.264
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.3799 0.7206 0.704 0.000 0.000 0.000 0.020 0.276
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 17469 rows and 309 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 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 0.306 0.590 0.838 0.2891 0.760 0.760
#> 3 3 0.158 0.653 0.778 0.6347 0.793 0.738
#> 4 4 0.359 0.500 0.744 0.2486 0.835 0.733
#> 5 5 0.397 0.500 0.701 0.1585 0.831 0.653
#> 6 6 0.454 0.478 0.659 0.0894 0.945 0.846
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.7745 0.6196 0.772 0.228
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.5408 0.7574 0.876 0.124
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.7139 0.6797 0.804 0.196
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.1414 0.8012 0.980 0.020
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.1414 0.8004 0.980 0.020
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0938 0.8013 0.988 0.012
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.8555 0.5346 0.720 0.280
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#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.9358 0.7175 0.352 0.648
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.2043 0.7946 0.968 0.032
#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.4431 0.7744 0.908 0.092
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.0672 0.8001 0.992 0.008
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.2603 0.7956 0.956 0.044
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.0000 0.7983 1.000 0.000
#> 25A5BC09-0D88-4385-87AF-997F9018522D 1 0.9983 -0.4751 0.524 0.476
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.1184 0.8017 0.984 0.016
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.2423 0.7973 0.960 0.040
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.5737 0.6887 0.864 0.136
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.0000 0.7983 1.000 0.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 1 0.9552 0.0715 0.624 0.376
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.1184 0.8019 0.984 0.016
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0376 0.7997 0.996 0.004
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.1414 0.8004 0.980 0.020
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.2043 0.7913 0.968 0.032
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.1184 0.8002 0.984 0.016
#> 9EEECA0E-530D-4724-B016-A716F0782148 1 0.8081 0.5947 0.752 0.248
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.4431 0.7798 0.908 0.092
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.1633 0.5419 0.024 0.976
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.8861 0.7222 0.304 0.696
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.8267 0.5722 0.740 0.260
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.3114 0.7969 0.944 0.056
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0376 0.7984 0.996 0.004
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.9248 0.2898 0.660 0.340
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0938 0.8018 0.988 0.012
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 1 0.8555 0.5287 0.720 0.280
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.4562 0.7660 0.904 0.096
#> DD51C17C-300F-44A4-955A-C9BC85417842 1 0.7815 0.6281 0.768 0.232
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.1184 0.8004 0.984 0.016
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.4939 0.7238 0.892 0.108
#> B2088466-FA5D-491C-9982-99B33683E66F 1 0.9954 -0.4396 0.540 0.460
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 1 0.8081 0.5608 0.752 0.248
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 1 0.9983 -0.4751 0.524 0.476
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 1 0.9983 -0.4751 0.524 0.476
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 1 0.9988 -0.4891 0.520 0.480
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.1184 0.8019 0.984 0.016
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 1 0.7745 0.6344 0.772 0.228
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.2778 0.7966 0.952 0.048
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0376 0.7998 0.996 0.004
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0000 0.7983 1.000 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.4690 0.7726 0.900 0.100
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.6148 0.7315 0.848 0.152
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.0672 0.8009 0.992 0.008
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0672 0.8004 0.992 0.008
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 1 0.9983 -0.4751 0.524 0.476
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.4022 0.7836 0.920 0.080
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.8016 0.6067 0.756 0.244
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 2 0.9944 0.1264 0.456 0.544
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.9209 0.7391 0.336 0.664
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 1 0.9922 -0.3945 0.552 0.448
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.1633 0.7956 0.976 0.024
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.9993 0.5893 0.484 0.516
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 1 0.9977 -0.4562 0.528 0.472
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.1414 0.8033 0.980 0.020
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.1633 0.7993 0.976 0.024
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.9963 0.6244 0.464 0.536
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 1 0.9983 -0.4751 0.524 0.476
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.7602 0.6475 0.780 0.220
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.7983 1.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0000 0.7983 1.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.9996 0.5805 0.488 0.512
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.2043 0.8008 0.968 0.032
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.9993 0.5893 0.484 0.516
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0672 0.8004 0.992 0.008
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0938 0.8009 0.988 0.012
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.6343 0.7123 0.840 0.160
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.1184 0.8017 0.984 0.016
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.7983 1.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 1 0.9983 -0.4756 0.524 0.476
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.7983 1.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.4298 0.7738 0.912 0.088
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0000 0.7983 1.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.3879 0.7853 0.924 0.076
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.1184 0.8013 0.984 0.016
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0672 0.8013 0.992 0.008
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.4431 0.7744 0.908 0.092
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.6048 0.7131 0.852 0.148
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.1184 0.8009 0.984 0.016
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.1843 0.8031 0.972 0.028
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.9129 0.3906 0.672 0.328
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.4161 0.7782 0.916 0.084
#> 20EB9CC6-EABB-438A-9030-E766459996D1 1 0.9983 -0.4756 0.524 0.476
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.6148 0.7215 0.848 0.152
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.5629 0.7371 0.868 0.132
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.7983 1.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.7983 1.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.7983 1.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 1 1.0000 -0.5376 0.504 0.496
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.8016 0.6024 0.756 0.244
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 2 0.9881 0.2459 0.436 0.564
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.7299 0.6637 0.796 0.204
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 1 0.9286 0.0489 0.656 0.344
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.3431 0.7871 0.936 0.064
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.6801 0.6704 0.820 0.180
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0672 0.8005 0.992 0.008
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.7983 1.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.9977 0.6141 0.472 0.528
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0672 0.8004 0.992 0.008
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.8861 0.7222 0.304 0.696
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.2236 0.7967 0.964 0.036
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 2 0.9896 0.1524 0.440 0.560
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.8386 0.5473 0.732 0.268
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.4562 0.7727 0.904 0.096
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.6148 0.7215 0.848 0.152
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.4562 0.7659 0.904 0.096
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.2043 0.8012 0.968 0.032
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.4161 0.7783 0.916 0.084
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.2423 0.8018 0.960 0.040
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.6148 0.7215 0.848 0.152
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.5519 0.7481 0.872 0.128
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0672 0.8005 0.992 0.008
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.1633 0.7956 0.976 0.024
#> 206865A9-A67C-49A6-93AD-55D06E777559 1 0.9988 -0.4891 0.520 0.480
#> 26DABC83-DB30-452F-9BE2-366760CB138E 1 0.9983 -0.4751 0.524 0.476
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.4562 0.7706 0.904 0.096
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.2603 0.7977 0.956 0.044
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.1843 0.7937 0.972 0.028
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0938 0.8018 0.988 0.012
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.965 -0.07263 0.468 0.272 0.260
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.615 0.73119 0.764 0.056 0.180
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.698 0.66015 0.708 0.072 0.220
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.333 0.80095 0.904 0.020 0.076
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.341 0.80417 0.900 0.020 0.080
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.348 0.78055 0.904 0.048 0.048
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.843 0.46370 0.604 0.136 0.260
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.452 0.71034 0.180 0.816 0.004
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.743 0.47004 0.688 0.212 0.100
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.375 0.79539 0.884 0.020 0.096
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.164 0.79393 0.964 0.016 0.020
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.379 0.80484 0.892 0.048 0.060
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.677 0.68710 0.724 0.068 0.208
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.783 0.66413 0.160 0.672 0.168
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.636 0.67905 0.728 0.040 0.232
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.595 0.74691 0.772 0.048 0.180
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.494 0.79046 0.840 0.056 0.104
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.318 0.80203 0.912 0.024 0.064
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.175 0.78884 0.960 0.012 0.028
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.509 0.77340 0.836 0.092 0.072
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.429 0.71023 0.180 0.820 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.354 0.79044 0.888 0.012 0.100
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.191 0.79207 0.956 0.016 0.028
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.401 0.79117 0.876 0.028 0.096
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.591 0.75321 0.784 0.060 0.156
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.399 0.80633 0.872 0.020 0.108
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.689 0.67468 0.716 0.072 0.212
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.383 0.81020 0.888 0.036 0.076
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.429 0.71023 0.180 0.820 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.429 0.71023 0.180 0.820 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.398 0.76198 0.884 0.068 0.048
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.709 0.52509 0.716 0.188 0.096
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.295 0.80363 0.920 0.020 0.060
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.101 0.79590 0.980 0.012 0.008
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 1 0.858 0.44191 0.596 0.152 0.252
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.691 0.69185 0.728 0.092 0.180
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.949 -0.05573 0.496 0.260 0.244
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.435 0.70626 0.184 0.816 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.399 0.78661 0.872 0.020 0.108
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.238 0.79773 0.940 0.016 0.044
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.719 0.48398 0.056 0.664 0.280
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.556 0.77323 0.800 0.048 0.152
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.640 0.71906 0.748 0.060 0.192
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.379 0.80484 0.892 0.048 0.060
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.232 0.79260 0.944 0.028 0.028
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.504 0.76538 0.808 0.020 0.172
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.489 0.72395 0.840 0.112 0.048
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.452 0.71034 0.180 0.816 0.004
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.521 0.78914 0.824 0.052 0.124
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.769 0.36312 0.048 0.536 0.416
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.301 0.80600 0.920 0.028 0.052
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.784 0.55319 0.092 0.636 0.272
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.631 0.70599 0.748 0.052 0.200
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.782 0.56569 0.648 0.100 0.252
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.399 0.78661 0.872 0.020 0.108
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.978 -0.14655 0.440 0.284 0.276
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 1 0.714 0.48348 0.632 0.040 0.328
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.716 0.52075 0.712 0.188 0.100
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.579 0.68462 0.148 0.792 0.060
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#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.522 0.76874 0.816 0.040 0.144
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.788 0.53539 0.636 0.096 0.268
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 3 0.762 0.47118 0.368 0.052 0.580
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.763 0.34927 0.044 0.524 0.432
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.550 0.67534 0.208 0.772 0.020
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.249 0.79679 0.936 0.016 0.048
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.807 0.65223 0.160 0.652 0.188
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.602 0.49274 0.288 0.700 0.012
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.311 0.81296 0.916 0.028 0.056
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.399 0.78661 0.872 0.020 0.108
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.832 0.63954 0.160 0.628 0.212
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.429 0.71023 0.180 0.820 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.741 0.60117 0.668 0.076 0.256
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.218 0.78649 0.948 0.020 0.032
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.219 0.79180 0.948 0.024 0.028
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.778 0.66500 0.164 0.676 0.160
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.334 0.80560 0.908 0.032 0.060
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.807 0.65223 0.160 0.652 0.188
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.243 0.79447 0.940 0.024 0.036
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.274 0.78719 0.928 0.020 0.052
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.648 0.66327 0.716 0.040 0.244
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.334 0.80294 0.908 0.032 0.060
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.191 0.78845 0.956 0.016 0.028
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.551 0.70282 0.188 0.784 0.028
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.175 0.79141 0.960 0.012 0.028
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.416 0.79179 0.848 0.008 0.144
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.175 0.78978 0.960 0.012 0.028
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.511 0.75425 0.808 0.024 0.168
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.326 0.80530 0.912 0.048 0.040
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.203 0.80540 0.952 0.016 0.032
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.528 0.75347 0.796 0.024 0.180
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.583 0.72067 0.784 0.052 0.164
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.290 0.80225 0.924 0.048 0.028
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.324 0.80718 0.912 0.032 0.056
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.770 0.26009 0.560 0.052 0.388
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.509 0.75746 0.804 0.020 0.176
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.556 0.69935 0.192 0.780 0.028
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.632 0.67896 0.732 0.040 0.228
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.699 0.65314 0.728 0.108 0.164
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.205 0.78892 0.952 0.020 0.028
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.101 0.79560 0.980 0.012 0.008
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.158 0.78994 0.964 0.008 0.028
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.517 0.70454 0.172 0.804 0.024
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.892 0.35707 0.560 0.172 0.268
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.903 0.48134 0.352 0.144 0.504
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.775 0.57313 0.652 0.096 0.252
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.695 0.30676 0.376 0.600 0.024
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.418 0.80065 0.876 0.052 0.072
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.937 -0.03306 0.500 0.300 0.200
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.270 0.80378 0.928 0.016 0.056
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.158 0.78994 0.964 0.008 0.028
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.826 0.62677 0.152 0.632 0.216
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.260 0.80550 0.932 0.016 0.052
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.682 0.25092 0.012 0.512 0.476
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.419 0.79077 0.876 0.060 0.064
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.774 0.49906 0.356 0.060 0.584
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.978 -0.14655 0.440 0.284 0.276
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.547 0.76542 0.808 0.052 0.140
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.661 0.66564 0.716 0.048 0.236
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.481 0.77376 0.828 0.024 0.148
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.375 0.80043 0.884 0.020 0.096
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.534 0.77252 0.816 0.052 0.132
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.557 0.75447 0.812 0.108 0.080
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.661 0.66564 0.716 0.048 0.236
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.635 0.70104 0.744 0.052 0.204
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.270 0.80378 0.928 0.016 0.056
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.217 0.79315 0.944 0.008 0.048
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.452 0.71043 0.180 0.816 0.004
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.429 0.71023 0.180 0.820 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.576 0.75419 0.792 0.056 0.152
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.432 0.78722 0.860 0.028 0.112
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.265 0.79282 0.928 0.012 0.060
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.301 0.80861 0.920 0.028 0.052
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.8522 -0.3845 0.340 0.024 0.284 0.352
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.6548 0.3633 0.616 0.012 0.296 0.076
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.6691 -0.1005 0.508 0.032 0.428 0.032
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.4098 0.6265 0.784 0.012 0.204 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.3991 0.6580 0.808 0.020 0.172 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.3622 0.6177 0.872 0.052 0.064 0.012
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.7520 0.3946 0.388 0.096 0.488 0.028
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0657 0.8189 0.012 0.984 0.000 0.004
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.7963 0.1736 0.560 0.264 0.092 0.084
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.4955 0.5458 0.708 0.016 0.272 0.004
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.1953 0.6705 0.940 0.012 0.044 0.004
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.5214 0.6437 0.772 0.032 0.160 0.036
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.6926 0.1250 0.544 0.020 0.368 0.068
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.4707 0.6253 0.012 0.744 0.008 0.236
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.5406 0.1400 0.480 0.012 0.508 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.6370 0.4345 0.644 0.024 0.280 0.052
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.4751 0.6497 0.808 0.020 0.120 0.052
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.4722 0.5918 0.748 0.020 0.228 0.004
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.1109 0.6671 0.968 0.004 0.028 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.4931 0.6009 0.800 0.088 0.096 0.016
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0469 0.8190 0.012 0.988 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.4482 0.5576 0.728 0.008 0.264 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.1356 0.6715 0.960 0.008 0.032 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.5035 0.5177 0.696 0.016 0.284 0.004
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.6496 0.4467 0.640 0.016 0.268 0.076
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.4319 0.6157 0.760 0.012 0.228 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.7112 0.0315 0.528 0.036 0.380 0.056
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.4715 0.6513 0.788 0.028 0.168 0.016
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0469 0.8190 0.012 0.988 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0992 0.8172 0.012 0.976 0.008 0.004
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.3711 0.6009 0.864 0.076 0.052 0.008
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.7654 0.2280 0.596 0.240 0.084 0.080
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.4436 0.6016 0.764 0.020 0.216 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.1489 0.6785 0.952 0.004 0.044 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 3 0.7732 0.3961 0.384 0.116 0.472 0.028
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.6899 -0.0760 0.508 0.060 0.412 0.020
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 3 0.9056 0.1925 0.332 0.272 0.336 0.060
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0707 0.8143 0.020 0.980 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.4883 0.5170 0.696 0.016 0.288 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.1722 0.6769 0.944 0.008 0.048 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 4 0.5384 0.3257 0.004 0.420 0.008 0.568
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.5587 0.5745 0.740 0.028 0.188 0.044
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.6840 0.3271 0.600 0.032 0.308 0.060
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.5214 0.6437 0.772 0.032 0.160 0.036
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.2353 0.6589 0.928 0.024 0.040 0.008
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.4917 0.4406 0.656 0.008 0.336 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.5766 0.4511 0.732 0.172 0.080 0.016
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0657 0.8189 0.012 0.984 0.000 0.004
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.5120 0.6194 0.776 0.028 0.160 0.036
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.4856 0.6183 0.008 0.272 0.008 0.712
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.4121 0.6713 0.844 0.020 0.100 0.036
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.7011 0.3486 0.008 0.592 0.136 0.264
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.6179 -0.0342 0.504 0.012 0.456 0.028
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.7182 0.3439 0.404 0.028 0.500 0.068
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.4908 0.5114 0.692 0.016 0.292 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.8512 0.4141 0.212 0.040 0.444 0.304
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.6672 0.2070 0.456 0.004 0.468 0.072
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.7710 0.2265 0.592 0.240 0.088 0.080
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.3455 0.7623 0.012 0.880 0.044 0.064
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.3810 0.6261 0.804 0.008 0.188 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.3000 0.6389 0.900 0.040 0.052 0.008
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.5616 0.6267 0.772 0.048 0.084 0.096
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.7857 -0.0685 0.432 0.024 0.136 0.408
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.4756 0.5880 0.744 0.020 0.232 0.004
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0469 0.8190 0.012 0.988 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.6952 0.4231 0.352 0.032 0.560 0.056
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.4121 0.6713 0.844 0.020 0.100 0.036
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.2510 0.6750 0.916 0.008 0.064 0.012
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.6935 0.2217 0.456 0.020 0.464 0.060
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.4707 0.6253 0.012 0.744 0.008 0.236
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.1792 0.6619 0.932 0.000 0.068 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.1639 0.6636 0.952 0.008 0.036 0.004
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.3656 0.6635 0.872 0.036 0.072 0.020
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.4214 0.6111 0.780 0.016 0.204 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.5214 0.6437 0.772 0.032 0.160 0.036
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.1854 0.6572 0.940 0.012 0.048 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.2831 0.6447 0.908 0.040 0.044 0.008
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0469 0.8190 0.012 0.988 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.6935 0.2217 0.456 0.020 0.464 0.060
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.1297 0.5879 0.000 0.016 0.020 0.964
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.4820 0.5180 0.692 0.012 0.296 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.6583 -0.3453 0.012 0.420 0.516 0.052
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.1792 0.6619 0.932 0.000 0.068 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.1022 0.6711 0.968 0.000 0.032 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.1356 0.6715 0.960 0.008 0.032 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.5204 0.6466 0.796 0.044 0.092 0.068
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.5646 0.6345 0.740 0.036 0.184 0.040
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.4664 0.6139 0.012 0.736 0.004 0.248
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.1920 0.8057 0.028 0.944 0.004 0.024
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 1 0.6245 0.3569 0.640 0.028 0.296 0.036
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.3860 0.6645 0.852 0.032 0.104 0.012
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.2587 0.6837 0.908 0.004 0.076 0.012
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#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.2604 0.6517 0.916 0.016 0.056 0.012
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 3 0.5378 0.2355 0.448 0.012 0.540 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.3363 0.6701 0.884 0.024 0.072 0.020
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.1256 0.6695 0.964 0.008 0.028 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.1707 0.8091 0.020 0.952 0.004 0.024
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.1706 0.6633 0.948 0.016 0.036 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.4567 0.6102 0.748 0.004 0.236 0.012
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.1109 0.6679 0.968 0.004 0.028 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.5256 0.3013 0.596 0.012 0.392 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.4925 0.6563 0.796 0.032 0.136 0.036
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.3606 0.6624 0.840 0.020 0.140 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.5256 0.2649 0.596 0.012 0.392 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.5947 0.3281 0.644 0.028 0.308 0.020
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.4666 0.6666 0.820 0.052 0.100 0.028
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.3824 0.6743 0.852 0.036 0.104 0.008
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.5675 0.4466 0.312 0.016 0.652 0.020
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.4990 0.4085 0.640 0.008 0.352 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.1920 0.8057 0.028 0.944 0.004 0.024
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 3 0.5407 0.1371 0.484 0.012 0.504 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.7214 0.4419 0.644 0.044 0.148 0.164
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.1388 0.6675 0.960 0.012 0.028 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.1978 0.6804 0.928 0.004 0.068 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.1022 0.6711 0.968 0.000 0.032 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.2384 0.7989 0.016 0.928 0.016 0.040
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.8225 0.3737 0.368 0.032 0.432 0.168
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.6511 0.3259 0.152 0.064 0.708 0.076
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.7056 0.3467 0.400 0.028 0.512 0.060
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.5353 0.4938 0.200 0.744 0.028 0.028
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.5633 0.6343 0.752 0.052 0.160 0.036
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 4 0.7859 -0.2298 0.420 0.024 0.136 0.420
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.4317 0.6209 0.784 0.016 0.196 0.004
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0817 0.6664 0.976 0.000 0.024 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.5632 0.3984 0.020 0.620 0.008 0.352
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.3597 0.6596 0.836 0.016 0.148 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.1297 0.5879 0.000 0.016 0.020 0.964
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.5327 0.6451 0.784 0.036 0.112 0.068
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.4254 0.2833 0.120 0.004 0.824 0.052
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.8512 0.4141 0.212 0.040 0.444 0.304
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.5947 0.3416 0.616 0.044 0.336 0.004
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 3 0.5653 0.2357 0.448 0.016 0.532 0.004
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.5112 0.4855 0.668 0.012 0.316 0.004
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.5148 0.5737 0.720 0.020 0.248 0.012
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.5252 0.6223 0.776 0.016 0.128 0.080
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.5732 0.5700 0.748 0.108 0.124 0.020
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.5653 0.2357 0.448 0.016 0.532 0.004
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.6182 -0.0595 0.500 0.012 0.460 0.028
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.4317 0.6209 0.784 0.016 0.196 0.004
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.1302 0.6674 0.956 0.000 0.044 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0657 0.8181 0.012 0.984 0.004 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0469 0.8190 0.012 0.988 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.6145 0.5310 0.692 0.016 0.212 0.080
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.5202 0.4741 0.668 0.016 0.312 0.004
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.2198 0.6562 0.920 0.008 0.072 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.3653 0.6708 0.844 0.028 0.128 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.8136 0.30645 0.212 0.008 0.364 0.332 0.084
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.6784 -0.19788 0.436 0.000 0.412 0.032 0.120
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.5909 0.64028 0.284 0.024 0.628 0.016 0.048
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.4268 0.47724 0.708 0.004 0.272 0.000 0.016
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.4164 0.56425 0.764 0.012 0.200 0.000 0.024
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.4427 0.51606 0.752 0.032 0.016 0.000 0.200
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.5841 0.65269 0.168 0.076 0.700 0.016 0.040
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0486 0.77753 0.004 0.988 0.004 0.004 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.6846 0.70759 0.272 0.180 0.020 0.004 0.524
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.4798 0.30941 0.624 0.004 0.352 0.004 0.016
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.2977 0.64231 0.876 0.008 0.040 0.000 0.076
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.5475 0.53536 0.696 0.008 0.212 0.028 0.056
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.6454 0.52339 0.340 0.008 0.544 0.028 0.080
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.3906 0.58041 0.000 0.744 0.000 0.240 0.016
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.4044 0.64908 0.252 0.004 0.732 0.000 0.012
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.6637 -0.18686 0.460 0.008 0.408 0.016 0.108
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.5937 0.50553 0.660 0.004 0.176 0.020 0.140
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.4654 0.39438 0.664 0.008 0.312 0.004 0.012
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.2983 0.61958 0.864 0.000 0.040 0.000 0.096
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.6268 0.51587 0.664 0.064 0.092 0.008 0.172
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0162 0.77765 0.004 0.996 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.4464 0.33134 0.632 0.004 0.356 0.000 0.008
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.1907 0.63380 0.928 0.000 0.028 0.000 0.044
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.4598 0.21942 0.600 0.004 0.388 0.004 0.004
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.6874 0.11735 0.508 0.004 0.332 0.036 0.120
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.5466 0.42441 0.628 0.004 0.284 0.000 0.084
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.6356 0.58948 0.312 0.020 0.580 0.024 0.064
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.5278 0.51762 0.684 0.008 0.244 0.012 0.052
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0162 0.77765 0.004 0.996 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0865 0.77320 0.000 0.972 0.000 0.004 0.024
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.4243 0.50650 0.772 0.056 0.004 0.000 0.168
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.6908 0.70612 0.336 0.172 0.016 0.004 0.472
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.4280 0.40195 0.676 0.008 0.312 0.000 0.004
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.2514 0.64418 0.896 0.000 0.060 0.000 0.044
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 3 0.6029 0.64340 0.168 0.096 0.684 0.016 0.036
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.6081 0.61193 0.320 0.044 0.592 0.016 0.028
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.8469 0.41641 0.148 0.192 0.244 0.012 0.404
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0740 0.77541 0.008 0.980 0.004 0.000 0.008
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.4438 0.25319 0.608 0.004 0.384 0.000 0.004
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.2830 0.63241 0.876 0.000 0.080 0.000 0.044
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 4 0.4595 0.35538 0.000 0.400 0.004 0.588 0.008
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.6649 0.10356 0.516 0.008 0.328 0.012 0.136
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.6938 0.34559 0.408 0.016 0.448 0.024 0.104
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.5475 0.53536 0.696 0.008 0.212 0.028 0.056
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.3835 0.61434 0.812 0.004 0.040 0.004 0.140
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 3 0.5295 0.21206 0.464 0.000 0.488 0.000 0.048
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.6567 -0.09874 0.568 0.140 0.032 0.000 0.260
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0324 0.77757 0.004 0.992 0.004 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.6333 0.34430 0.584 0.008 0.256 0.008 0.144
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.3963 0.63178 0.000 0.256 0.004 0.732 0.008
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.4906 0.59671 0.760 0.004 0.132 0.024 0.080
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.6944 0.29446 0.000 0.556 0.072 0.252 0.120
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.4870 0.63297 0.272 0.000 0.680 0.008 0.040
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.5716 0.66531 0.184 0.020 0.704 0.048 0.044
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.4449 0.24422 0.604 0.004 0.388 0.000 0.004
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.7186 0.42842 0.076 0.032 0.556 0.276 0.060
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.6586 0.54062 0.264 0.000 0.564 0.032 0.140
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 5 0.6900 0.70887 0.332 0.172 0.016 0.004 0.476
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.3345 0.72002 0.000 0.864 0.024 0.060 0.052
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.4146 0.48203 0.716 0.004 0.268 0.000 0.012
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.3504 0.59471 0.816 0.016 0.008 0.000 0.160
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.6380 0.54641 0.672 0.016 0.144 0.072 0.096
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 4 0.8065 -0.19799 0.348 0.004 0.152 0.376 0.120
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.4673 0.38617 0.660 0.008 0.316 0.004 0.012
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0162 0.77765 0.004 0.996 0.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.5838 0.63121 0.140 0.024 0.708 0.028 0.100
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.4906 0.59671 0.760 0.004 0.132 0.024 0.080
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.3555 0.63166 0.824 0.000 0.052 0.000 0.124
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.6765 0.57127 0.256 0.012 0.572 0.028 0.132
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.3906 0.58041 0.000 0.744 0.000 0.240 0.016
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.3749 0.59884 0.816 0.000 0.080 0.000 0.104
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.3602 0.62112 0.820 0.000 0.036 0.004 0.140
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.4806 0.59095 0.744 0.016 0.052 0.004 0.184
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.4134 0.45462 0.704 0.004 0.284 0.000 0.008
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.5475 0.53536 0.696 0.008 0.212 0.028 0.056
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.3601 0.60443 0.824 0.008 0.032 0.000 0.136
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.3504 0.59586 0.816 0.016 0.008 0.000 0.160
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0162 0.77765 0.004 0.996 0.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.6765 0.57127 0.256 0.012 0.572 0.028 0.132
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.0693 0.54015 0.000 0.000 0.012 0.980 0.008
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.5206 0.20703 0.572 0.004 0.384 0.000 0.040
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 2 0.7303 0.09493 0.008 0.384 0.224 0.016 0.368
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.3749 0.59884 0.816 0.000 0.080 0.000 0.104
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.1648 0.63304 0.940 0.000 0.020 0.000 0.040
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.1907 0.63380 0.928 0.000 0.028 0.000 0.044
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.5940 0.56260 0.696 0.012 0.124 0.040 0.128
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.5720 0.51578 0.672 0.012 0.232 0.028 0.056
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.3961 0.56808 0.000 0.736 0.000 0.248 0.016
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.1898 0.76712 0.008 0.940 0.016 0.024 0.012
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.6535 0.39675 0.404 0.016 0.484 0.016 0.080
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.5316 0.57320 0.728 0.028 0.148 0.004 0.092
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.4221 0.62916 0.780 0.000 0.108 0.000 0.112
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 4 0.3980 0.60292 0.000 0.284 0.000 0.708 0.008
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.6125 0.50776 0.656 0.004 0.124 0.036 0.180
#> D587A993-3C47-4D4C-B744-59169D4F7451 5 0.6900 0.70887 0.332 0.172 0.016 0.004 0.476
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.2900 0.62390 0.876 0.012 0.020 0.000 0.092
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 3 0.6081 0.61193 0.320 0.044 0.592 0.016 0.028
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.8095 0.06407 0.424 0.004 0.188 0.268 0.116
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.4862 0.57755 0.744 0.028 0.040 0.004 0.184
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#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.4090 0.53970 0.000 0.716 0.000 0.268 0.016
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.3573 0.63635 0.844 0.020 0.040 0.000 0.096
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.3972 0.57656 0.788 0.008 0.032 0.000 0.172
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 3 0.3643 0.66351 0.212 0.004 0.776 0.000 0.008
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.4928 0.58703 0.724 0.012 0.072 0.000 0.192
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.1774 0.63383 0.932 0.000 0.016 0.000 0.052
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.1533 0.76874 0.004 0.952 0.016 0.024 0.004
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.3122 0.62980 0.852 0.004 0.024 0.000 0.120
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.5781 0.33316 0.576 0.000 0.308 0.000 0.116
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.2104 0.62930 0.916 0.000 0.024 0.000 0.060
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.4973 0.35302 0.408 0.004 0.564 0.000 0.024
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.5222 0.56170 0.724 0.008 0.188 0.028 0.052
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.4187 0.57032 0.764 0.008 0.196 0.000 0.032
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 3 0.4798 0.48893 0.404 0.004 0.576 0.000 0.016
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.5548 0.33657 0.452 0.008 0.500 0.008 0.032
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.5430 0.60023 0.732 0.020 0.140 0.020 0.088
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.4500 0.62770 0.784 0.020 0.100 0.000 0.096
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.5186 0.62341 0.156 0.004 0.712 0.004 0.124
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 3 0.5106 0.24155 0.456 0.000 0.508 0.000 0.036
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.1898 0.76712 0.008 0.940 0.016 0.024 0.012
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 3 0.4170 0.64061 0.272 0.004 0.712 0.000 0.012
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.7640 0.28970 0.536 0.012 0.200 0.140 0.112
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.2141 0.62729 0.916 0.004 0.016 0.000 0.064
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.3033 0.64118 0.864 0.000 0.084 0.000 0.052
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.1648 0.63304 0.940 0.000 0.020 0.000 0.040
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.2027 0.75599 0.000 0.928 0.008 0.040 0.024
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.7257 0.61557 0.192 0.020 0.576 0.152 0.060
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.6075 0.21821 0.020 0.056 0.660 0.040 0.224
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.5505 0.66660 0.184 0.020 0.716 0.044 0.036
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.5018 0.43976 0.116 0.716 0.000 0.004 0.164
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.6235 0.48938 0.628 0.028 0.244 0.012 0.088
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 4 0.8062 -0.18171 0.336 0.004 0.148 0.388 0.124
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.4300 0.46962 0.712 0.004 0.268 0.004 0.012
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.2409 0.62554 0.900 0.000 0.032 0.000 0.068
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.4709 0.33727 0.000 0.612 0.000 0.364 0.024
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.3880 0.57916 0.784 0.004 0.184 0.000 0.028
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.0693 0.54015 0.000 0.000 0.012 0.980 0.008
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.5970 0.54581 0.684 0.008 0.172 0.048 0.088
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.5515 0.18360 0.052 0.000 0.608 0.016 0.324
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.7186 0.42842 0.076 0.032 0.556 0.276 0.060
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.5403 -0.14689 0.512 0.028 0.444 0.000 0.016
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 3 0.3840 0.66378 0.208 0.008 0.772 0.000 0.012
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.5628 0.02947 0.508 0.004 0.424 0.000 0.064
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.4891 0.35155 0.632 0.008 0.340 0.008 0.012
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.6321 0.44973 0.636 0.004 0.180 0.036 0.144
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.6789 0.46964 0.624 0.080 0.136 0.008 0.152
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.3840 0.66378 0.208 0.008 0.772 0.000 0.012
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.4847 0.63973 0.268 0.000 0.684 0.008 0.040
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.4300 0.46962 0.712 0.004 0.268 0.004 0.012
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.3532 0.60174 0.832 0.000 0.076 0.000 0.092
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0451 0.77710 0.004 0.988 0.000 0.000 0.008
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0324 0.77762 0.004 0.992 0.000 0.000 0.004
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.6761 0.25557 0.556 0.004 0.280 0.040 0.120
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.4531 0.10656 0.568 0.004 0.424 0.004 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.4424 0.56535 0.768 0.004 0.084 0.000 0.144
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.4290 0.60458 0.780 0.012 0.156 0.000 0.052
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.8428 -0.23312 0.096 0.000 0.300 0.312 0.132 0.160
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.7659 0.27763 0.256 0.000 0.356 0.004 0.192 0.192
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.5540 0.60198 0.176 0.008 0.668 0.000 0.052 0.096
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.4269 0.39973 0.636 0.004 0.340 0.000 0.016 0.004
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.4159 0.50708 0.704 0.000 0.252 0.000 0.040 0.004
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.4194 0.44413 0.692 0.012 0.016 0.000 0.276 0.004
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.4953 0.49303 0.044 0.044 0.748 0.004 0.032 0.128
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0405 0.81758 0.000 0.988 0.000 0.008 0.000 0.004
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.4414 0.71792 0.148 0.080 0.000 0.012 0.752 0.008
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.5157 0.27108 0.544 0.004 0.392 0.000 0.016 0.044
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.3656 0.61061 0.824 0.000 0.040 0.004 0.096 0.036
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.6544 0.46015 0.564 0.004 0.240 0.016 0.116 0.060
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.6850 0.51041 0.176 0.000 0.520 0.004 0.112 0.188
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.4225 0.63407 0.000 0.712 0.000 0.240 0.036 0.012
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.3003 0.60233 0.104 0.000 0.852 0.000 0.016 0.028
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.7349 0.28061 0.276 0.004 0.412 0.000 0.136 0.172
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.7226 0.33822 0.468 0.000 0.144 0.008 0.232 0.148
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.4492 0.33734 0.604 0.004 0.368 0.004 0.016 0.004
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.2748 0.55756 0.856 0.000 0.016 0.000 0.120 0.008
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.7212 0.41683 0.516 0.064 0.080 0.000 0.240 0.100
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.81701 0.000 1.000 0.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.4116 0.27954 0.572 0.000 0.416 0.000 0.012 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.2113 0.59243 0.916 0.004 0.028 0.000 0.044 0.008
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.4565 0.12706 0.516 0.004 0.460 0.004 0.012 0.004
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.7796 -0.07887 0.320 0.000 0.284 0.008 0.200 0.188
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.5520 0.35171 0.556 0.004 0.316 0.000 0.120 0.004
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.6347 0.58027 0.168 0.004 0.584 0.000 0.084 0.160
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.6527 0.39103 0.524 0.000 0.284 0.008 0.112 0.072
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.81701 0.000 1.000 0.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.1542 0.80683 0.000 0.936 0.000 0.004 0.052 0.008
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.4086 0.46147 0.740 0.036 0.004 0.000 0.212 0.008
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.4765 0.73080 0.200 0.080 0.004 0.008 0.704 0.004
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.4192 0.35375 0.612 0.004 0.372 0.000 0.008 0.004
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.3861 0.60790 0.808 0.000 0.084 0.000 0.068 0.040
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 3 0.5228 0.48158 0.048 0.064 0.732 0.004 0.032 0.120
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.5245 0.60481 0.200 0.024 0.676 0.004 0.004 0.092
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.8420 0.16739 0.104 0.096 0.168 0.008 0.384 0.240
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0508 0.81509 0.000 0.984 0.004 0.000 0.012 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.4517 0.19489 0.536 0.004 0.440 0.000 0.012 0.008
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.2939 0.59179 0.864 0.004 0.080 0.000 0.044 0.008
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 4 0.4734 0.39601 0.000 0.348 0.000 0.604 0.032 0.016
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.7428 -0.10085 0.352 0.004 0.336 0.000 0.168 0.140
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.7189 0.40535 0.228 0.004 0.460 0.000 0.128 0.180
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.6544 0.46015 0.564 0.004 0.240 0.016 0.116 0.060
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.5259 0.52989 0.656 0.000 0.048 0.000 0.228 0.068
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 3 0.5011 0.38039 0.332 0.000 0.592 0.000 0.068 0.008
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.5871 -0.14341 0.504 0.068 0.020 0.000 0.388 0.020
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0146 0.81711 0.000 0.996 0.000 0.000 0.000 0.004
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.7370 0.15858 0.424 0.004 0.240 0.000 0.192 0.140
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.3853 0.63332 0.000 0.196 0.000 0.756 0.044 0.004
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.6384 0.52327 0.612 0.004 0.140 0.012 0.144 0.088
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.7287 0.10933 0.000 0.444 0.020 0.264 0.076 0.196
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.5277 0.61074 0.152 0.000 0.696 0.004 0.080 0.068
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.5414 0.53609 0.064 0.004 0.720 0.036 0.056 0.120
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.4521 0.18691 0.532 0.004 0.444 0.000 0.012 0.008
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.7061 0.26707 0.028 0.004 0.496 0.264 0.052 0.156
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.6877 0.40544 0.108 0.000 0.484 0.004 0.128 0.276
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 5 0.4844 0.73388 0.196 0.080 0.004 0.008 0.704 0.008
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.4257 0.70324 0.000 0.788 0.004 0.072 0.056 0.080
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.4044 0.43198 0.668 0.000 0.312 0.000 0.012 0.008
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.3492 0.53681 0.772 0.004 0.008 0.000 0.208 0.008
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.7357 0.45735 0.528 0.004 0.148 0.060 0.184 0.076
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 4 0.8630 -0.00908 0.168 0.000 0.136 0.344 0.200 0.152
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.4503 0.33102 0.600 0.004 0.372 0.004 0.016 0.004
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0146 0.81662 0.000 0.996 0.000 0.000 0.000 0.004
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.4962 0.42218 0.028 0.004 0.656 0.000 0.044 0.268
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.6384 0.52327 0.612 0.004 0.140 0.012 0.144 0.088
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.4922 0.57420 0.704 0.000 0.032 0.000 0.168 0.096
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.6307 0.44014 0.092 0.000 0.528 0.000 0.088 0.292
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.4225 0.63407 0.000 0.712 0.000 0.240 0.036 0.012
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.3994 0.52004 0.776 0.000 0.100 0.000 0.116 0.008
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.5022 0.56411 0.684 0.000 0.044 0.000 0.208 0.064
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.5881 0.47827 0.588 0.000 0.052 0.000 0.252 0.108
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.4274 0.41173 0.640 0.004 0.336 0.000 0.012 0.008
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.6544 0.46015 0.564 0.004 0.240 0.016 0.116 0.060
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.3798 0.51860 0.772 0.004 0.020 0.000 0.188 0.016
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.3492 0.53792 0.772 0.004 0.008 0.000 0.208 0.008
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.81701 0.000 1.000 0.000 0.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.6307 0.44014 0.092 0.000 0.528 0.000 0.088 0.292
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.0964 0.51295 0.000 0.000 0.004 0.968 0.012 0.016
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.5422 0.13486 0.480 0.004 0.432 0.000 0.076 0.008
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 6 0.4283 0.61531 0.004 0.288 0.028 0.000 0.004 0.676
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.3994 0.52004 0.776 0.000 0.100 0.000 0.116 0.008
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.1649 0.59388 0.936 0.000 0.016 0.000 0.040 0.008
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.2113 0.59243 0.916 0.004 0.028 0.000 0.044 0.008
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.7157 0.45755 0.516 0.004 0.132 0.024 0.228 0.096
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.6847 0.44656 0.540 0.004 0.232 0.016 0.124 0.084
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.4338 0.61781 0.000 0.700 0.000 0.248 0.040 0.012
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.1837 0.80654 0.000 0.932 0.004 0.032 0.020 0.012
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#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0862 0.81531 0.000 0.972 0.000 0.016 0.008 0.004
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 3 0.5181 0.07858 0.444 0.004 0.496 0.000 0.020 0.036
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.4565 0.54223 0.052 0.008 0.760 0.004 0.036 0.140
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 6 0.5252 0.15083 0.052 0.000 0.424 0.000 0.020 0.504
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 4 0.3339 0.62924 0.000 0.144 0.000 0.816 0.028 0.012
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.2325 0.77999 0.000 0.884 0.000 0.008 0.100 0.008
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.3862 0.56386 0.788 0.000 0.104 0.000 0.100 0.008
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.4448 0.59069 0.000 0.680 0.000 0.268 0.040 0.012
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.3902 0.59159 0.088 0.816 0.044 0.000 0.040 0.012
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.6158 0.44894 0.564 0.004 0.264 0.000 0.112 0.056
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.4521 0.18873 0.532 0.004 0.444 0.000 0.012 0.008
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.3927 0.49565 0.000 0.644 0.000 0.344 0.012 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.81701 0.000 1.000 0.000 0.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.5625 0.56676 0.088 0.008 0.668 0.000 0.072 0.164
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.3020 0.54981 0.824 0.000 0.012 0.000 0.156 0.008
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.4973 0.54891 0.684 0.000 0.036 0.000 0.212 0.068
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.4024 0.67706 0.000 0.748 0.000 0.196 0.048 0.008
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.5924 0.56817 0.624 0.000 0.104 0.008 0.204 0.060
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.4448 0.59069 0.000 0.680 0.000 0.268 0.040 0.012
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.3621 0.60107 0.812 0.004 0.048 0.000 0.124 0.012
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.3970 0.48851 0.740 0.004 0.020 0.000 0.224 0.012
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 3 0.2918 0.57216 0.064 0.000 0.868 0.000 0.020 0.048
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.6005 0.47812 0.568 0.000 0.056 0.000 0.268 0.108
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.1810 0.59477 0.932 0.004 0.020 0.000 0.036 0.008
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.1511 0.80848 0.000 0.944 0.000 0.032 0.012 0.012
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.4628 0.56855 0.712 0.000 0.024 0.000 0.200 0.064
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.6647 0.26974 0.468 0.000 0.312 0.000 0.148 0.072
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.2086 0.58812 0.912 0.004 0.012 0.000 0.064 0.008
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.4793 0.40636 0.304 0.000 0.632 0.000 0.052 0.012
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.6308 0.49556 0.600 0.004 0.212 0.016 0.112 0.056
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.4309 0.52399 0.720 0.004 0.228 0.000 0.032 0.016
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 3 0.4607 0.56662 0.252 0.000 0.684 0.000 0.024 0.040
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.5615 0.45066 0.312 0.004 0.580 0.000 0.040 0.064
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.6470 0.52573 0.588 0.004 0.160 0.012 0.172 0.064
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.4609 0.59311 0.744 0.004 0.104 0.000 0.124 0.024
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.4436 0.41851 0.052 0.000 0.712 0.000 0.016 0.220
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 3 0.4791 0.38617 0.328 0.000 0.612 0.000 0.052 0.008
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.1837 0.80654 0.000 0.932 0.004 0.032 0.020 0.012
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 3 0.3068 0.60813 0.124 0.000 0.840 0.000 0.016 0.020
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.8506 0.20398 0.372 0.004 0.188 0.128 0.208 0.100
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.1985 0.58492 0.916 0.004 0.008 0.000 0.064 0.008
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.3916 0.60345 0.800 0.000 0.100 0.000 0.068 0.032
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.1649 0.59388 0.936 0.000 0.016 0.000 0.040 0.008
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.2704 0.78213 0.000 0.884 0.000 0.048 0.032 0.036
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.7162 0.44423 0.072 0.004 0.564 0.128 0.076 0.156
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 6 0.5034 0.16793 0.000 0.012 0.444 0.020 0.016 0.508
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.5172 0.54469 0.064 0.004 0.740 0.036 0.048 0.108
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.4830 0.48476 0.072 0.668 0.000 0.004 0.248 0.008
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.7351 0.33636 0.468 0.020 0.272 0.008 0.148 0.084
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 4 0.8600 0.00645 0.152 0.000 0.140 0.352 0.200 0.156
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.4558 0.41652 0.640 0.004 0.320 0.000 0.016 0.020
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.2262 0.58090 0.896 0.000 0.016 0.000 0.080 0.008
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.4684 0.39063 0.000 0.576 0.000 0.372 0.052 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.3839 0.53456 0.748 0.004 0.212 0.000 0.036 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.0964 0.51295 0.000 0.000 0.004 0.968 0.012 0.016
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.7196 0.45226 0.536 0.004 0.176 0.040 0.164 0.080
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 6 0.5082 0.21184 0.040 0.000 0.416 0.000 0.020 0.524
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.7061 0.26707 0.028 0.004 0.496 0.264 0.052 0.156
#> C98275CD-C39A-4E14-A731-4F3EB7396665 3 0.5389 0.06733 0.448 0.016 0.484 0.000 0.020 0.032
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 3 0.2859 0.56990 0.060 0.000 0.872 0.000 0.020 0.048
#> 6752EED9-7990-433F-A206-D5398C396471 3 0.5706 0.05456 0.420 0.000 0.476 0.000 0.064 0.040
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.5143 0.25617 0.540 0.004 0.404 0.004 0.020 0.028
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.7577 0.23134 0.408 0.000 0.180 0.008 0.220 0.184
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.7419 0.38399 0.488 0.064 0.136 0.000 0.240 0.072
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.2859 0.56990 0.060 0.000 0.872 0.000 0.020 0.048
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.5155 0.61841 0.144 0.000 0.708 0.004 0.080 0.064
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.4558 0.41652 0.640 0.004 0.320 0.000 0.016 0.020
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.3536 0.53046 0.812 0.000 0.064 0.000 0.116 0.008
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0260 0.81680 0.000 0.992 0.000 0.000 0.000 0.008
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0260 0.81654 0.000 0.992 0.000 0.000 0.000 0.008
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.7803 0.01831 0.336 0.000 0.252 0.008 0.192 0.212
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 3 0.4573 -0.03818 0.480 0.004 0.496 0.004 0.012 0.004
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.4248 0.48427 0.752 0.004 0.060 0.000 0.172 0.012
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.4308 0.56226 0.740 0.004 0.172 0.000 0.080 0.004
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 17469 rows and 309 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 0.990 0.996 0.3970 0.603 0.603
#> 3 3 0.602 0.750 0.875 0.5796 0.750 0.592
#> 4 4 0.617 0.691 0.780 0.1441 0.800 0.519
#> 5 5 0.729 0.730 0.796 0.0832 0.908 0.684
#> 6 6 0.716 0.670 0.794 0.0505 0.933 0.723
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.8608 0.600 0.716 0.284
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.0000 0.998 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.0000 0.998 1.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.998 1.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.998 1.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.998 1.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 2 0.0000 0.991 0.000 1.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.991 0.000 1.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.0000 0.998 1.000 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.998 1.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.998 1.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.998 1.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.0000 0.998 1.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.991 0.000 1.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.0000 0.998 1.000 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.0000 0.998 1.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.0000 0.998 1.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.998 1.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.998 1.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0000 0.998 1.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.991 0.000 1.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.998 1.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.998 1.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.998 1.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.0000 0.998 1.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0000 0.998 1.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.0000 0.998 1.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0000 0.998 1.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.991 0.000 1.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.991 0.000 1.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.998 1.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.998 1.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.998 1.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.998 1.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.991 0.000 1.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.0000 0.998 1.000 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.0000 0.998 1.000 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.991 0.000 1.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.998 1.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.998 1.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.991 0.000 1.000
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#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.0000 0.998 1.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.0000 0.998 1.000 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.991 0.000 1.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.991 0.000 1.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.998 1.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.991 0.000 1.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.991 0.000 1.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0000 0.998 1.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0000 0.998 1.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.991 0.000 1.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.991 0.000 1.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 2 0.5842 0.837 0.140 0.860
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.998 1.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0000 0.998 1.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.991 0.000 1.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0000 0.998 1.000 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.991 0.000 1.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.998 1.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.998 1.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.998 1.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.0000 0.998 1.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.998 1.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.991 0.000 1.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.998 1.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.998 1.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0000 0.998 1.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0000 0.998 1.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0000 0.998 1.000 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.998 1.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0000 0.998 1.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.0000 0.998 1.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0000 0.998 1.000 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0000 0.998 1.000 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.0000 0.998 1.000 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.998 1.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.991 0.000 1.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.998 1.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.0000 0.998 1.000 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.998 1.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.998 1.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.998 1.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.991 0.000 1.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.0000 0.998 1.000 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 2 0.0000 0.991 0.000 1.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.0000 0.998 1.000 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.0376 0.987 0.004 0.996
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.0000 0.998 1.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.0000 0.998 1.000 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.998 1.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.998 1.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.991 0.000 1.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.998 1.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.991 0.000 1.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.998 1.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.0000 0.998 1.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.0000 0.998 1.000 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.2603 0.948 0.044 0.956
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.998 1.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.998 1.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.0000 0.998 1.000 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.0000 0.998 1.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.0000 0.998 1.000 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.0000 0.998 1.000 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.998 1.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.998 1.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.998 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.991 0.000 1.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.991 0.000 1.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.0000 0.998 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.998 1.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.998 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.4921 0.7323 0.084 0.072 0.844
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.2261 0.8040 0.068 0.000 0.932
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.2165 0.8044 0.064 0.000 0.936
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.4452 0.7412 0.808 0.000 0.192
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.1753 0.8136 0.952 0.000 0.048
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0592 0.8134 0.988 0.000 0.012
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.5397 0.4897 0.000 0.280 0.720
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9630 0.000 1.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.3116 0.7604 0.892 0.000 0.108
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.4750 0.7164 0.784 0.000 0.216
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.8154 1.000 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.4504 0.7376 0.804 0.000 0.196
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.2261 0.8040 0.068 0.000 0.932
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.1753 0.9579 0.000 0.952 0.048
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.3340 0.7796 0.120 0.000 0.880
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.2261 0.8040 0.068 0.000 0.932
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.5948 0.4998 0.360 0.000 0.640
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.4399 0.7445 0.812 0.000 0.188
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0237 0.8148 0.996 0.000 0.004
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.6168 0.1344 0.588 0.000 0.412
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9630 0.000 1.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.1860 0.8129 0.948 0.000 0.052
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.4346 0.7482 0.816 0.000 0.184
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.4974 0.6912 0.764 0.000 0.236
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.2261 0.8040 0.068 0.000 0.932
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.4702 0.6354 0.788 0.000 0.212
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.1860 0.8003 0.052 0.000 0.948
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.2165 0.8044 0.064 0.000 0.936
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9630 0.000 1.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.9630 0.000 1.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.8154 1.000 0.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0592 0.8134 0.988 0.000 0.012
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.4452 0.7412 0.808 0.000 0.192
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0592 0.8134 0.988 0.000 0.012
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.9630 0.000 1.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.6008 0.4587 0.372 0.000 0.628
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.6509 -0.1095 0.524 0.004 0.472
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.9630 0.000 1.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.4452 0.7412 0.808 0.000 0.192
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.1529 0.8157 0.960 0.000 0.040
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.1753 0.9579 0.000 0.952 0.048
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.4291 0.7409 0.180 0.000 0.820
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0892 0.7743 0.020 0.000 0.980
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.4504 0.7376 0.804 0.000 0.196
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.5058 0.5624 0.756 0.000 0.244
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.5591 0.4937 0.696 0.000 0.304
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.8154 1.000 0.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9630 0.000 1.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.2261 0.8040 0.068 0.000 0.932
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.1753 0.9579 0.000 0.952 0.048
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.4291 0.7506 0.820 0.000 0.180
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.1289 0.9599 0.000 0.968 0.032
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.2165 0.8044 0.064 0.000 0.936
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.5905 0.5025 0.352 0.000 0.648
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.5650 0.5637 0.688 0.000 0.312
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.1411 0.7958 0.036 0.000 0.964
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.2165 0.8044 0.064 0.000 0.936
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.1031 0.8064 0.976 0.000 0.024
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.9630 0.000 1.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.4452 0.7412 0.808 0.000 0.192
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0592 0.8134 0.988 0.000 0.012
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.2066 0.8117 0.940 0.000 0.060
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.5178 0.5334 0.744 0.000 0.256
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.4504 0.7376 0.804 0.000 0.196
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9630 0.000 1.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.2165 0.8044 0.064 0.000 0.936
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.3879 0.7696 0.848 0.000 0.152
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.3192 0.7377 0.888 0.000 0.112
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.2261 0.8040 0.068 0.000 0.932
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.1753 0.9579 0.000 0.952 0.048
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0592 0.8134 0.988 0.000 0.012
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.1289 0.8052 0.968 0.000 0.032
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.6260 0.0253 0.552 0.000 0.448
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.4452 0.7412 0.808 0.000 0.192
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.4887 0.7014 0.772 0.000 0.228
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0592 0.8134 0.988 0.000 0.012
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0592 0.8134 0.988 0.000 0.012
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.9630 0.000 1.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.1529 0.7891 0.040 0.000 0.960
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.1753 0.9579 0.000 0.952 0.048
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.1643 0.8150 0.956 0.000 0.044
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.6180 0.3380 0.008 0.332 0.660
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.1753 0.7964 0.952 0.000 0.048
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0592 0.8134 0.988 0.000 0.012
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.2165 0.8101 0.936 0.000 0.064
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.0237 0.8153 0.996 0.000 0.004
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.4121 0.7582 0.832 0.000 0.168
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.1753 0.9579 0.000 0.952 0.048
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.1529 0.9589 0.000 0.960 0.040
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.5016 0.6513 0.240 0.000 0.760
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0424 0.8142 0.992 0.000 0.008
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.5216 0.5356 0.740 0.000 0.260
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.1753 0.9579 0.000 0.952 0.048
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.6204 0.3716 0.424 0.000 0.576
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0237 0.8148 0.996 0.000 0.004
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0000 0.8154 1.000 0.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 3 0.6008 0.4499 0.372 0.000 0.628
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.4750 0.7236 0.784 0.000 0.216
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.0000 0.8154 1.000 0.000 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.2261 0.8040 0.068 0.000 0.932
#> 00439565-02CE-4BF5-956D-7078B51C0947 3 0.3816 0.7632 0.148 0.000 0.852
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.9630 0.000 1.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.9630 0.000 1.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.0424 0.8150 0.992 0.000 0.008
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.0000 0.8154 1.000 0.000 0.000
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.9630 0.000 1.000 0.000
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#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.4504 0.7253 0.196 0.000 0.804
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.5285 0.6617 0.244 0.752 0.004
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.2711 0.7996 0.088 0.000 0.912
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.4605 0.6843 0.204 0.000 0.796
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.3412 0.7854 0.876 0.000 0.124
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0592 0.8134 0.988 0.000 0.012
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.1753 0.9579 0.000 0.952 0.048
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.4504 0.7376 0.804 0.000 0.196
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.1753 0.9579 0.000 0.952 0.048
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.5098 0.6732 0.752 0.000 0.248
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.2066 0.8039 0.060 0.000 0.940
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.1643 0.7946 0.044 0.000 0.956
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.5610 0.6694 0.028 0.776 0.196
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 3 0.6244 0.2735 0.440 0.000 0.560
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.6308 0.0808 0.508 0.000 0.492
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.5254 0.6501 0.736 0.000 0.264
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.2261 0.8040 0.068 0.000 0.932
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.6305 -0.1073 0.516 0.000 0.484
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.3879 0.7588 0.152 0.000 0.848
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.1860 0.8003 0.052 0.000 0.948
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.4399 0.7445 0.812 0.000 0.188
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.4002 0.6882 0.840 0.000 0.160
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9630 0.000 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9630 0.000 1.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.2165 0.8027 0.064 0.000 0.936
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 3 0.6126 0.3903 0.400 0.000 0.600
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0237 0.8148 0.996 0.000 0.004
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.1753 0.8136 0.952 0.000 0.048
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.4883 -0.0197 0.000 0.016 0.288 0.696
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0672 0.8639 0.008 0.000 0.984 0.008
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.3428 0.8058 0.012 0.000 0.844 0.144
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 4 0.6007 0.7893 0.340 0.000 0.056 0.604
#> 78F79407-D49F-4FA2-B09F-0665C502827C 4 0.4961 0.6749 0.448 0.000 0.000 0.552
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0188 0.7742 0.996 0.000 0.000 0.004
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.2635 0.8215 0.000 0.076 0.904 0.020
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.8658 0.000 1.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.4453 0.5995 0.744 0.000 0.012 0.244
#> 53062969-D209-490B-9C9B-5D297625E2AE 4 0.5926 0.7853 0.308 0.000 0.060 0.632
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0707 0.7659 0.980 0.000 0.000 0.020
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 4 0.6069 0.7859 0.356 0.000 0.056 0.588
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0657 0.8637 0.004 0.000 0.984 0.012
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.4857 0.8333 0.000 0.700 0.016 0.284
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 4 0.5409 -0.0836 0.012 0.000 0.492 0.496
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0657 0.8626 0.012 0.000 0.984 0.004
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.3074 0.7430 0.152 0.000 0.848 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 4 0.5769 0.7707 0.376 0.000 0.036 0.588
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.1022 0.7687 0.968 0.000 0.000 0.032
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.4994 0.0863 0.520 0.000 0.480 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.8658 0.000 1.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 4 0.4961 0.6798 0.448 0.000 0.000 0.552
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 4 0.5884 0.7805 0.364 0.000 0.044 0.592
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 4 0.5905 0.7843 0.304 0.000 0.060 0.636
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0657 0.8626 0.012 0.000 0.984 0.004
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.4986 0.5922 0.740 0.000 0.044 0.216
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0657 0.8637 0.004 0.000 0.984 0.012
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.3402 0.7365 0.004 0.000 0.832 0.164
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.8658 0.000 1.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.8658 0.000 1.000 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0336 0.7728 0.992 0.000 0.000 0.008
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0336 0.7736 0.992 0.000 0.000 0.008
#> 904EDF2E-411E-43BD-901D-46129AFA283A 4 0.6000 0.7857 0.356 0.000 0.052 0.592
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0469 0.7719 0.988 0.000 0.000 0.012
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.8658 0.000 1.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 4 0.6585 0.7238 0.188 0.000 0.180 0.632
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.5949 0.4773 0.644 0.000 0.068 0.288
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.8658 0.000 1.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 4 0.5986 0.7871 0.320 0.000 0.060 0.620
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.4967 -0.4490 0.548 0.000 0.000 0.452
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.4857 0.8333 0.000 0.700 0.016 0.284
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.2773 0.7906 0.116 0.000 0.880 0.004
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0376 0.8597 0.004 0.000 0.992 0.004
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 4 0.6069 0.7859 0.356 0.000 0.056 0.588
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.4819 0.4514 0.652 0.000 0.344 0.004
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.6106 0.2138 0.604 0.000 0.064 0.332
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0469 0.7716 0.988 0.000 0.000 0.012
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.8658 0.000 1.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0779 0.8622 0.016 0.000 0.980 0.004
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.4883 0.8317 0.000 0.696 0.016 0.288
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 4 0.5626 0.7628 0.384 0.000 0.028 0.588
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.4831 0.8341 0.000 0.704 0.016 0.280
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0657 0.8637 0.004 0.000 0.984 0.012
#> F941890E-AB33-478F-8C97-1C785DD9428F 4 0.6739 0.6902 0.172 0.000 0.216 0.612
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 4 0.6036 0.7816 0.292 0.000 0.072 0.636
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.0657 0.8637 0.004 0.000 0.984 0.012
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.1661 0.8535 0.004 0.000 0.944 0.052
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.0469 0.7741 0.988 0.000 0.000 0.012
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.8658 0.000 1.000 0.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 4 0.6069 0.7859 0.356 0.000 0.056 0.588
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.7744 1.000 0.000 0.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.4866 -0.2629 0.596 0.000 0.000 0.404
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.4328 0.5956 0.748 0.000 0.244 0.008
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 4 0.5973 0.7890 0.332 0.000 0.056 0.612
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.8658 0.000 1.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.1743 0.8521 0.004 0.000 0.940 0.056
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 4 0.5279 0.7443 0.400 0.000 0.012 0.588
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.2944 0.7154 0.868 0.000 0.128 0.004
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0657 0.8637 0.004 0.000 0.984 0.012
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.4857 0.8333 0.000 0.700 0.016 0.284
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.1022 0.7687 0.968 0.000 0.000 0.032
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0921 0.7700 0.972 0.000 0.028 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.5039 0.2871 0.592 0.000 0.404 0.004
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 4 0.6069 0.7859 0.356 0.000 0.056 0.588
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 4 0.6069 0.7859 0.356 0.000 0.056 0.588
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0188 0.7741 0.996 0.000 0.000 0.004
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0336 0.7736 0.992 0.000 0.000 0.008
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.8658 0.000 1.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.0376 0.8624 0.004 0.000 0.992 0.004
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.5113 0.8252 0.000 0.684 0.024 0.292
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.4776 -0.1282 0.624 0.000 0.000 0.376
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.7140 0.4539 0.008 0.240 0.588 0.164
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.1743 0.7565 0.940 0.000 0.004 0.056
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0336 0.7736 0.992 0.000 0.000 0.008
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 4 0.4888 0.7308 0.412 0.000 0.000 0.588
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.3726 0.4503 0.788 0.000 0.000 0.212
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 4 0.5571 0.7544 0.396 0.000 0.024 0.580
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.4857 0.8333 0.000 0.700 0.016 0.284
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.4831 0.8341 0.000 0.704 0.016 0.280
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.2480 0.8017 0.088 0.000 0.904 0.008
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0336 0.7734 0.992 0.000 0.000 0.008
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.4431 0.5150 0.696 0.000 0.304 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.4857 0.8333 0.000 0.700 0.016 0.284
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.4040 0.6015 0.248 0.000 0.752 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0336 0.7736 0.992 0.000 0.000 0.008
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0707 0.7659 0.980 0.000 0.000 0.020
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 4 0.6933 0.6595 0.172 0.000 0.244 0.584
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 4 0.6007 0.7892 0.340 0.000 0.056 0.604
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.0469 0.7716 0.988 0.000 0.000 0.012
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.0672 0.8639 0.008 0.000 0.984 0.008
#> 00439565-02CE-4BF5-956D-7078B51C0947 4 0.5861 -0.0546 0.032 0.000 0.480 0.488
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.8658 0.000 1.000 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.8658 0.000 1.000 0.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.1302 0.7421 0.956 0.000 0.000 0.044
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.0469 0.7716 0.988 0.000 0.000 0.012
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.8658 0.000 1.000 0.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 1 0.3625 0.6521 0.828 0.160 0.000 0.012
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.0672 0.8639 0.008 0.000 0.984 0.008
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.0336 0.7736 0.992 0.000 0.000 0.008
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 2 0.4908 0.8299 0.000 0.692 0.016 0.292
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.8658 0.000 1.000 0.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.0469 0.7716 0.988 0.000 0.000 0.012
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.0657 0.8637 0.004 0.000 0.984 0.012
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.1902 0.8471 0.004 0.000 0.932 0.064
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 4 0.6534 0.7466 0.220 0.000 0.148 0.632
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.0336 0.7736 0.992 0.000 0.000 0.008
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.1209 0.7676 0.964 0.000 0.004 0.032
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.0469 0.7716 0.988 0.000 0.000 0.012
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 4 0.6039 0.7885 0.348 0.000 0.056 0.596
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 4 0.4888 0.7275 0.412 0.000 0.000 0.588
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 4 0.6674 0.7720 0.300 0.000 0.116 0.584
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 4 0.5784 0.7283 0.200 0.000 0.100 0.700
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 4 0.6535 0.5380 0.100 0.000 0.312 0.588
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 4 0.6069 0.7859 0.356 0.000 0.056 0.588
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 3 0.5924 0.4758 0.040 0.000 0.556 0.404
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 2 0.4908 0.8299 0.000 0.692 0.016 0.292
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 2 0.5167 0.7988 0.000 0.644 0.016 0.340
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.4564 0.0571 0.672 0.000 0.000 0.328
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 3 0.7497 0.3310 0.224 0.000 0.496 0.280
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 4 0.6855 0.5178 0.144 0.000 0.276 0.580
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 1 0.5256 -0.0284 0.596 0.000 0.012 0.392
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.4804 -0.1991 0.616 0.000 0.000 0.384
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.0000 0.8658 0.000 1.000 0.000 0.000
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#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0672 0.8639 0.008 0.000 0.984 0.008
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.4792 0.4569 0.680 0.000 0.312 0.008
#> 1ABBEF80-508F-4247-B43D-3E549372113B 4 0.5842 0.0815 0.032 0.000 0.448 0.520
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.4872 0.4420 0.004 0.000 0.640 0.356
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 4 0.5699 0.7669 0.380 0.000 0.032 0.588
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.3037 0.7259 0.888 0.000 0.036 0.076
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.8658 0.000 1.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.8658 0.000 1.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0672 0.8639 0.008 0.000 0.984 0.008
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 4 0.6583 0.7269 0.192 0.000 0.176 0.632
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.1118 0.7685 0.964 0.000 0.000 0.036
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 4 0.4907 0.7180 0.420 0.000 0.000 0.580
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.5085 0.2411 0.128 0.012 0.120 0.736 0.004
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0324 0.8449 0.004 0.000 0.992 0.000 0.004
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.5730 0.5753 0.032 0.000 0.580 0.348 0.040
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.2144 0.8173 0.912 0.000 0.000 0.068 0.020
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.3569 0.7998 0.828 0.000 0.000 0.068 0.104
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.1872 0.8625 0.052 0.000 0.000 0.020 0.928
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.3651 0.7571 0.000 0.060 0.828 0.108 0.004
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9524 0.000 1.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.1671 0.8279 0.000 0.000 0.000 0.076 0.924
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.1106 0.8228 0.964 0.000 0.000 0.024 0.012
#> B710293C-41D3-4A2E-8104-5402F91DD859 5 0.2438 0.8602 0.060 0.000 0.000 0.040 0.900
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.1992 0.8185 0.924 0.000 0.000 0.044 0.032
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0324 0.8449 0.004 0.000 0.992 0.000 0.004
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.4446 0.7242 0.000 0.476 0.000 0.520 0.004
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.7276 0.2449 0.400 0.000 0.208 0.360 0.032
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0613 0.8434 0.004 0.000 0.984 0.008 0.004
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.2568 0.7967 0.004 0.000 0.888 0.016 0.092
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.1082 0.8228 0.964 0.000 0.000 0.008 0.028
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.1364 0.8602 0.036 0.000 0.000 0.012 0.952
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.5028 0.1488 0.008 0.000 0.552 0.020 0.420
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9524 0.000 1.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.3401 0.8037 0.840 0.000 0.000 0.064 0.096
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.2074 0.8219 0.920 0.000 0.000 0.044 0.036
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.1851 0.8066 0.912 0.000 0.000 0.088 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0324 0.8449 0.004 0.000 0.992 0.000 0.004
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 5 0.4933 0.6059 0.200 0.000 0.000 0.096 0.704
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0771 0.8413 0.004 0.000 0.976 0.020 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.4921 0.6706 0.172 0.000 0.728 0.092 0.008
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9524 0.000 1.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.9524 0.000 1.000 0.000 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 5 0.1943 0.8624 0.056 0.000 0.000 0.020 0.924
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.2376 0.8613 0.044 0.000 0.000 0.052 0.904
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.1041 0.8226 0.964 0.000 0.000 0.004 0.032
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 5 0.3090 0.8320 0.104 0.000 0.000 0.040 0.856
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0162 0.9472 0.000 0.996 0.000 0.004 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.3013 0.7820 0.832 0.000 0.008 0.160 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.4245 0.6796 0.024 0.000 0.008 0.224 0.744
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.9524 0.000 1.000 0.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.2286 0.8033 0.888 0.000 0.000 0.108 0.004
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.4758 0.6035 0.676 0.000 0.000 0.048 0.276
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 4 0.4300 0.7252 0.000 0.476 0.000 0.524 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.1928 0.8103 0.004 0.000 0.920 0.004 0.072
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0486 0.8448 0.004 0.000 0.988 0.004 0.004
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.1981 0.8181 0.924 0.000 0.000 0.048 0.028
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 5 0.5192 0.1156 0.004 0.000 0.472 0.032 0.492
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 5 0.6202 0.0656 0.372 0.000 0.000 0.144 0.484
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 5 0.2291 0.8611 0.056 0.000 0.000 0.036 0.908
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9524 0.000 1.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0727 0.8425 0.004 0.000 0.980 0.004 0.012
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.4294 0.7289 0.000 0.468 0.000 0.532 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.2221 0.8142 0.912 0.000 0.000 0.052 0.036
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 4 0.4542 0.7239 0.000 0.456 0.000 0.536 0.008
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0324 0.8449 0.004 0.000 0.992 0.000 0.004
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.3835 0.7531 0.796 0.000 0.048 0.156 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.1851 0.8065 0.912 0.000 0.000 0.088 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.1041 0.8377 0.004 0.000 0.964 0.032 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.3319 0.7635 0.000 0.000 0.820 0.160 0.020
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 5 0.2588 0.8570 0.048 0.000 0.000 0.060 0.892
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.9524 0.000 1.000 0.000 0.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.1281 0.8226 0.956 0.000 0.000 0.012 0.032
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.1893 0.8631 0.048 0.000 0.000 0.024 0.928
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.5187 0.5182 0.656 0.000 0.000 0.084 0.260
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 5 0.5585 0.6212 0.016 0.000 0.232 0.092 0.660
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0703 0.8231 0.976 0.000 0.000 0.000 0.024
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9524 0.000 1.000 0.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.3586 0.7455 0.000 0.000 0.792 0.188 0.020
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.2300 0.8134 0.908 0.000 0.000 0.052 0.040
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 5 0.3011 0.8209 0.012 0.000 0.076 0.036 0.876
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0162 0.8440 0.000 0.000 0.996 0.004 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 4 0.4446 0.7242 0.000 0.476 0.000 0.520 0.004
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 5 0.1251 0.8599 0.036 0.000 0.000 0.008 0.956
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 5 0.2152 0.8592 0.044 0.000 0.004 0.032 0.920
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 5 0.5201 0.2371 0.008 0.000 0.432 0.028 0.532
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.1281 0.8220 0.956 0.000 0.000 0.012 0.032
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.2054 0.8171 0.920 0.000 0.000 0.052 0.028
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 5 0.1121 0.8624 0.044 0.000 0.000 0.000 0.956
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 5 0.1907 0.8642 0.044 0.000 0.000 0.028 0.928
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.9524 0.000 1.000 0.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.0162 0.8440 0.000 0.000 0.996 0.004 0.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.5213 0.6861 0.000 0.396 0.048 0.556 0.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.6028 0.1694 0.468 0.000 0.000 0.116 0.416
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 4 0.7330 -0.2333 0.016 0.120 0.400 0.424 0.040
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 5 0.0693 0.8490 0.012 0.000 0.000 0.008 0.980
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 5 0.2036 0.8605 0.056 0.000 0.000 0.024 0.920
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.2149 0.8214 0.916 0.000 0.000 0.048 0.036
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.5626 0.0801 0.504 0.000 0.000 0.076 0.420
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.2751 0.8091 0.888 0.000 0.004 0.056 0.052
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 4 0.4297 0.7277 0.000 0.472 0.000 0.528 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 4 0.4297 0.7275 0.000 0.472 0.000 0.528 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.2189 0.8097 0.000 0.000 0.904 0.012 0.084
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 5 0.1697 0.8626 0.060 0.000 0.000 0.008 0.932
#> D47D0936-826F-4D54-9225-F71B95357438 5 0.5130 0.2920 0.004 0.000 0.412 0.032 0.552
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 4 0.4443 0.7266 0.000 0.472 0.000 0.524 0.004
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.3155 0.7559 0.008 0.000 0.848 0.016 0.128
#> D587A993-3C47-4D4C-B744-59169D4F7451 5 0.2149 0.8607 0.048 0.000 0.000 0.036 0.916
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 5 0.1809 0.8620 0.060 0.000 0.000 0.012 0.928
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.3859 0.7502 0.816 0.000 0.084 0.096 0.004
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.2570 0.8118 0.888 0.000 0.000 0.084 0.028
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 5 0.2661 0.8560 0.056 0.000 0.000 0.056 0.888
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.0324 0.8449 0.004 0.000 0.992 0.000 0.004
#> 00439565-02CE-4BF5-956D-7078B51C0947 1 0.7420 0.1887 0.372 0.000 0.232 0.360 0.036
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.9524 0.000 1.000 0.000 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.9524 0.000 1.000 0.000 0.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 5 0.2597 0.8475 0.092 0.000 0.000 0.024 0.884
#> 7822EA86-35A1-4285-9429-2B63111B9885 5 0.2450 0.8573 0.048 0.000 0.000 0.052 0.900
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.9524 0.000 1.000 0.000 0.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 5 0.5382 0.7093 0.068 0.160 0.000 0.052 0.720
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.0324 0.8449 0.004 0.000 0.992 0.000 0.004
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 5 0.2149 0.8603 0.048 0.000 0.000 0.036 0.916
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 4 0.4688 0.7280 0.000 0.456 0.008 0.532 0.004
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.9524 0.000 1.000 0.000 0.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 5 0.2228 0.8604 0.048 0.000 0.000 0.040 0.912
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.0162 0.8445 0.004 0.000 0.996 0.000 0.000
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.2972 0.7899 0.024 0.000 0.864 0.108 0.004
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.2358 0.7982 0.888 0.000 0.008 0.104 0.000
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 5 0.3003 0.8392 0.092 0.000 0.000 0.044 0.864
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 5 0.1485 0.8591 0.032 0.000 0.000 0.020 0.948
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 5 0.2228 0.8604 0.048 0.000 0.000 0.040 0.912
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.2171 0.8192 0.912 0.000 0.000 0.064 0.024
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.1549 0.8223 0.944 0.000 0.000 0.016 0.040
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.2529 0.8213 0.900 0.000 0.004 0.056 0.040
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.4050 0.7484 0.784 0.000 0.008 0.172 0.036
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 1 0.4254 0.7330 0.772 0.000 0.080 0.148 0.000
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.1386 0.8215 0.952 0.000 0.000 0.016 0.032
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 4 0.6721 -0.0910 0.168 0.000 0.380 0.440 0.012
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 4 0.4688 0.7280 0.000 0.456 0.008 0.532 0.004
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 4 0.5134 0.5220 0.008 0.284 0.008 0.664 0.036
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.4594 0.5481 0.680 0.000 0.000 0.036 0.284
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 4 0.8446 -0.3487 0.212 0.000 0.304 0.308 0.176
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 1 0.6222 0.5376 0.568 0.000 0.076 0.320 0.036
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 1 0.6976 0.1319 0.444 0.000 0.020 0.192 0.344
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.4977 0.0585 0.500 0.000 0.000 0.028 0.472
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.0000 0.9524 0.000 1.000 0.000 0.000 0.000
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 5 0.4955 0.4882 0.004 0.000 0.328 0.036 0.632
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.2249 0.7748 0.000 0.896 0.000 0.096 0.008
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0000 0.9524 0.000 1.000 0.000 0.000 0.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.0703 0.8229 0.976 0.000 0.000 0.000 0.024
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0000 0.9524 0.000 1.000 0.000 0.000 0.000
#> 9492A322-37CA-4582-AC68-66B5D80778AF 4 0.4300 0.7252 0.000 0.476 0.000 0.524 0.000
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#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.2798 0.7862 0.852 0.000 0.008 0.140 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.6196 0.5603 0.588 0.000 0.076 0.296 0.040
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.1628 0.8174 0.936 0.000 0.000 0.056 0.008
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0324 0.8449 0.004 0.000 0.992 0.000 0.004
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 5 0.4468 0.5914 0.004 0.000 0.276 0.024 0.696
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.7038 0.3633 0.452 0.000 0.152 0.360 0.036
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.6577 0.0880 0.424 0.000 0.396 0.176 0.004
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.1992 0.8170 0.924 0.000 0.000 0.044 0.032
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.1965 0.8253 0.024 0.000 0.000 0.052 0.924
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9524 0.000 1.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0162 0.9493 0.000 0.996 0.000 0.000 0.004
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0324 0.8449 0.004 0.000 0.992 0.000 0.004
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.2660 0.7912 0.864 0.000 0.008 0.128 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.1469 0.8600 0.036 0.000 0.000 0.016 0.948
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.1725 0.8218 0.936 0.000 0.000 0.020 0.044
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.5836 0.3358 0.124 0.000 0.040 0.588 0.000 0.248
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0405 0.7643 0.000 0.000 0.988 0.008 0.000 0.004
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 6 0.3602 0.5261 0.000 0.000 0.208 0.032 0.000 0.760
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.3668 0.4753 0.668 0.000 0.000 0.004 0.000 0.328
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.4908 0.5047 0.644 0.000 0.000 0.020 0.056 0.280
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.1296 0.8492 0.004 0.000 0.000 0.032 0.952 0.012
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.3592 0.6551 0.000 0.044 0.812 0.020 0.000 0.124
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0146 0.9572 0.000 0.996 0.000 0.000 0.000 0.004
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.1780 0.8435 0.000 0.000 0.000 0.028 0.924 0.048
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.2070 0.6886 0.892 0.000 0.000 0.008 0.000 0.100
#> B710293C-41D3-4A2E-8104-5402F91DD859 5 0.2471 0.8469 0.044 0.000 0.000 0.040 0.896 0.020
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0790 0.6866 0.968 0.000 0.000 0.032 0.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0405 0.7643 0.000 0.000 0.988 0.008 0.000 0.004
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.3827 0.8731 0.000 0.256 0.000 0.720 0.004 0.020
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 6 0.3465 0.6630 0.096 0.000 0.056 0.020 0.000 0.828
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0937 0.7618 0.000 0.000 0.960 0.040 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.3497 0.7275 0.000 0.000 0.832 0.084 0.048 0.036
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.1434 0.6953 0.940 0.000 0.000 0.012 0.000 0.048
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.1269 0.8491 0.012 0.000 0.000 0.012 0.956 0.020
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.5290 0.5965 0.000 0.000 0.648 0.084 0.232 0.036
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9585 0.000 1.000 0.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.4850 0.4929 0.640 0.000 0.000 0.020 0.048 0.292
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.3616 0.6249 0.780 0.000 0.000 0.012 0.024 0.184
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.3769 0.4088 0.640 0.000 0.000 0.004 0.000 0.356
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.7657 0.000 0.000 1.000 0.000 0.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 5 0.5474 0.1179 0.088 0.000 0.000 0.012 0.496 0.404
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.1151 0.7524 0.000 0.000 0.956 0.012 0.000 0.032
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.6025 0.2006 0.068 0.000 0.524 0.044 0.012 0.352
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9585 0.000 1.000 0.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0748 0.9419 0.000 0.976 0.000 0.004 0.004 0.016
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 5 0.2016 0.8480 0.016 0.000 0.000 0.040 0.920 0.024
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.2736 0.8460 0.020 0.000 0.000 0.048 0.880 0.052
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.1812 0.6897 0.912 0.000 0.000 0.008 0.000 0.080
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 5 0.5132 0.7342 0.148 0.000 0.008 0.096 0.708 0.040
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0146 0.9572 0.000 0.996 0.000 0.000 0.000 0.004
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.4263 0.1445 0.504 0.000 0.000 0.016 0.000 0.480
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.4445 0.4199 0.000 0.000 0.000 0.032 0.572 0.396
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0146 0.9572 0.000 0.996 0.000 0.000 0.000 0.004
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.3789 0.3024 0.584 0.000 0.000 0.000 0.000 0.416
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.5559 0.4767 0.632 0.000 0.000 0.032 0.144 0.192
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 4 0.3314 0.8742 0.000 0.256 0.000 0.740 0.000 0.004
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.1555 0.7600 0.000 0.000 0.940 0.040 0.012 0.008
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0820 0.7616 0.000 0.000 0.972 0.012 0.000 0.016
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.1124 0.6836 0.956 0.000 0.000 0.036 0.000 0.008
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.6086 0.5042 0.020 0.000 0.576 0.092 0.276 0.036
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 6 0.5407 0.4070 0.108 0.000 0.000 0.008 0.324 0.560
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 5 0.2171 0.8441 0.016 0.000 0.000 0.040 0.912 0.032
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9585 0.000 1.000 0.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.1340 0.7604 0.000 0.000 0.948 0.040 0.004 0.008
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.3217 0.8729 0.000 0.224 0.000 0.768 0.000 0.008
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.1624 0.6780 0.936 0.000 0.000 0.044 0.008 0.012
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 4 0.3794 0.8570 0.000 0.216 0.000 0.744 0.000 0.040
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0000 0.7657 0.000 0.000 1.000 0.000 0.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.4396 0.1827 0.520 0.000 0.000 0.024 0.000 0.456
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.3684 0.3873 0.628 0.000 0.000 0.000 0.000 0.372
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.1334 0.7488 0.000 0.000 0.948 0.020 0.000 0.032
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.3558 0.5856 0.000 0.000 0.760 0.028 0.000 0.212
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 5 0.3593 0.8083 0.068 0.000 0.000 0.064 0.828 0.040
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0291 0.9538 0.000 0.992 0.000 0.004 0.000 0.004
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.1866 0.6878 0.908 0.000 0.000 0.008 0.000 0.084
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.1116 0.8495 0.004 0.000 0.000 0.028 0.960 0.008
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.4175 0.5798 0.788 0.000 0.000 0.080 0.060 0.072
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 5 0.7296 0.5151 0.080 0.000 0.176 0.128 0.536 0.080
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.1588 0.6912 0.924 0.000 0.000 0.004 0.000 0.072
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9585 0.000 1.000 0.000 0.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.3694 0.5630 0.000 0.000 0.740 0.028 0.000 0.232
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.1974 0.6741 0.920 0.000 0.000 0.048 0.020 0.012
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 5 0.4699 0.7465 0.024 0.000 0.080 0.096 0.764 0.036
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0508 0.7634 0.000 0.000 0.984 0.012 0.000 0.004
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 4 0.3744 0.8736 0.000 0.256 0.000 0.724 0.004 0.016
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 5 0.1448 0.8492 0.012 0.000 0.000 0.016 0.948 0.024
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 5 0.3720 0.8075 0.032 0.000 0.008 0.104 0.820 0.036
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.5764 0.4150 0.000 0.000 0.540 0.088 0.336 0.036
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0865 0.6953 0.964 0.000 0.000 0.000 0.000 0.036
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.1408 0.6806 0.944 0.000 0.000 0.036 0.000 0.020
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 5 0.0767 0.8514 0.012 0.000 0.000 0.004 0.976 0.008
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 5 0.1952 0.8525 0.012 0.000 0.000 0.052 0.920 0.016
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.9585 0.000 1.000 0.000 0.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.0725 0.7609 0.000 0.000 0.976 0.012 0.000 0.012
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.4138 0.8205 0.004 0.156 0.036 0.772 0.000 0.032
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 6 0.6041 0.3301 0.200 0.000 0.000 0.008 0.328 0.464
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 6 0.6496 0.2441 0.000 0.084 0.200 0.172 0.000 0.544
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 5 0.1251 0.8488 0.012 0.000 0.000 0.008 0.956 0.024
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 5 0.2484 0.8423 0.036 0.000 0.000 0.044 0.896 0.024
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.3858 0.6105 0.760 0.000 0.000 0.012 0.032 0.196
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.4639 0.5245 0.748 0.000 0.004 0.076 0.132 0.040
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.3278 0.6359 0.852 0.000 0.004 0.072 0.036 0.036
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 4 0.3744 0.8736 0.000 0.256 0.000 0.724 0.004 0.016
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 4 0.3582 0.8747 0.000 0.252 0.000 0.732 0.000 0.016
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.3039 0.7335 0.000 0.000 0.852 0.056 0.084 0.008
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 5 0.2400 0.8425 0.064 0.000 0.000 0.024 0.896 0.016
#> D47D0936-826F-4D54-9225-F71B95357438 3 0.6351 0.3793 0.024 0.000 0.512 0.092 0.336 0.036
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 4 0.3314 0.8745 0.000 0.256 0.000 0.740 0.000 0.004
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.2992 0.7395 0.000 0.000 0.864 0.072 0.032 0.032
#> D587A993-3C47-4D4C-B744-59169D4F7451 5 0.1867 0.8451 0.004 0.000 0.000 0.036 0.924 0.036
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 5 0.2507 0.8446 0.056 0.000 0.000 0.036 0.892 0.016
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.4322 0.5526 0.736 0.000 0.020 0.052 0.000 0.192
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.2999 0.6354 0.856 0.000 0.000 0.068 0.008 0.068
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 5 0.4109 0.7845 0.100 0.000 0.000 0.072 0.788 0.040
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.0146 0.7655 0.000 0.000 0.996 0.004 0.000 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 6 0.3504 0.6659 0.076 0.000 0.060 0.032 0.000 0.832
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.9585 0.000 1.000 0.000 0.000 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.9585 0.000 1.000 0.000 0.000 0.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 5 0.3535 0.7860 0.140 0.000 0.000 0.036 0.808 0.016
#> 7822EA86-35A1-4285-9429-2B63111B9885 5 0.2911 0.8287 0.040 0.000 0.000 0.052 0.872 0.036
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.9585 0.000 1.000 0.000 0.000 0.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 5 0.5583 0.6896 0.120 0.064 0.000 0.056 0.704 0.056
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.0000 0.7657 0.000 0.000 1.000 0.000 0.000 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 5 0.3271 0.8209 0.032 0.000 0.004 0.088 0.848 0.028
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 4 0.3314 0.8741 0.000 0.224 0.000 0.764 0.000 0.012
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.9585 0.000 1.000 0.000 0.000 0.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 5 0.2843 0.8307 0.032 0.000 0.000 0.044 0.876 0.048
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.0405 0.7643 0.000 0.000 0.988 0.008 0.000 0.004
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.3558 0.5585 0.000 0.000 0.760 0.028 0.000 0.212
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.4212 0.2565 0.560 0.000 0.000 0.016 0.000 0.424
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 5 0.4989 0.7266 0.168 0.000 0.000 0.096 0.700 0.036
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 5 0.1716 0.8474 0.004 0.000 0.000 0.028 0.932 0.036
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 5 0.2777 0.8300 0.032 0.000 0.000 0.044 0.880 0.044
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.3468 0.5344 0.712 0.000 0.000 0.004 0.000 0.284
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.2215 0.6901 0.900 0.000 0.000 0.012 0.012 0.076
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.4082 0.6087 0.748 0.000 0.000 0.056 0.008 0.188
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 6 0.3937 0.1887 0.424 0.000 0.000 0.004 0.000 0.572
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 1 0.4638 0.1777 0.520 0.000 0.012 0.020 0.000 0.448
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.1471 0.6934 0.932 0.000 0.000 0.004 0.000 0.064
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 4 0.6911 0.1654 0.188 0.000 0.272 0.468 0.008 0.064
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 4 0.3314 0.8741 0.000 0.224 0.000 0.764 0.000 0.012
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 4 0.5642 0.5110 0.000 0.160 0.000 0.488 0.000 0.352
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.3550 0.6127 0.812 0.000 0.000 0.032 0.132 0.024
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#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.5873 0.2130 0.528 0.000 0.000 0.340 0.040 0.092
#> 9AF0E82E-E621-437A-8D19-700532B95090 5 0.0820 0.8519 0.012 0.000 0.000 0.016 0.972 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.5799 0.5177 0.656 0.000 0.012 0.088 0.076 0.168
#> EFE5A302-D138-4044-A301-5C5FD1C24836 5 0.4478 0.7552 0.152 0.000 0.000 0.056 0.748 0.044
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.9585 0.000 1.000 0.000 0.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.5925 0.1399 0.496 0.000 0.032 0.088 0.004 0.380
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 6 0.4715 0.0749 0.000 0.000 0.416 0.048 0.000 0.536
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.5126 0.1172 0.512 0.000 0.016 0.048 0.000 0.424
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 5 0.3889 0.7698 0.000 0.100 0.000 0.044 0.804 0.052
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.5663 0.5401 0.244 0.000 0.628 0.080 0.016 0.032
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.5890 0.1876 0.048 0.000 0.460 0.436 0.012 0.044
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.2076 0.6944 0.912 0.000 0.000 0.016 0.012 0.060
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 5 0.1679 0.8479 0.012 0.000 0.000 0.036 0.936 0.016
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 4 0.3905 0.8722 0.000 0.256 0.000 0.716 0.004 0.024
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.1501 0.6903 0.924 0.000 0.000 0.000 0.000 0.076
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.4138 0.8205 0.004 0.156 0.036 0.772 0.000 0.032
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.1760 0.6752 0.928 0.000 0.000 0.048 0.004 0.020
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 6 0.3353 0.5914 0.008 0.000 0.156 0.028 0.000 0.808
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.6032 0.2186 0.136 0.000 0.572 0.048 0.000 0.244
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.2945 0.6620 0.872 0.032 0.000 0.028 0.004 0.064
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.4310 0.2181 0.540 0.000 0.000 0.020 0.000 0.440
#> 6752EED9-7990-433F-A206-D5398C396471 6 0.3970 0.5576 0.260 0.000 0.016 0.012 0.000 0.712
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.2504 0.6740 0.880 0.000 0.000 0.028 0.004 0.088
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.7657 0.000 0.000 1.000 0.000 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 5 0.5467 0.3599 0.000 0.000 0.304 0.088 0.584 0.024
#> 1ABBEF80-508F-4247-B43D-3E549372113B 6 0.3263 0.6539 0.112 0.000 0.028 0.024 0.000 0.836
#> 835AAE7F-F873-4D11-8845-232D261A38DF 6 0.6067 0.4868 0.172 0.000 0.284 0.016 0.004 0.524
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0972 0.6853 0.964 0.000 0.000 0.028 0.000 0.008
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.2755 0.8077 0.012 0.000 0.000 0.012 0.856 0.120
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9585 0.000 1.000 0.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0260 0.9559 0.000 0.992 0.000 0.000 0.000 0.008
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0260 0.7649 0.000 0.000 0.992 0.008 0.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.4229 0.2378 0.548 0.000 0.000 0.016 0.000 0.436
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.1780 0.8506 0.012 0.000 0.000 0.028 0.932 0.028
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.2833 0.6878 0.876 0.000 0.000 0.028 0.048 0.048
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)
#> Error in mat[ceiling(1:nr/h_ratio), ceiling(1:nc/w_ratio), drop = FALSE]: subscript out of bounds
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 17469 rows and 309 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 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 0.971 0.988 0.4898 0.511 0.511
#> 3 3 0.742 0.804 0.905 0.3300 0.765 0.573
#> 4 4 0.838 0.821 0.925 0.1473 0.822 0.546
#> 5 5 0.827 0.784 0.896 0.0614 0.901 0.646
#> 6 6 0.813 0.759 0.874 0.0461 0.933 0.694
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.0000 0.987 0.000 1.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 2 0.0376 0.984 0.004 0.996
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 2 0.0000 0.987 0.000 1.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.988 1.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.988 1.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.988 1.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 2 0.0000 0.987 0.000 1.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.987 0.000 1.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.2043 0.957 0.968 0.032
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.988 1.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.988 1.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.988 1.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 2 0.5737 0.842 0.136 0.864
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.987 0.000 1.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.0000 0.988 1.000 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 2 0.3431 0.926 0.064 0.936
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.0000 0.988 1.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.988 1.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.988 1.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.5178 0.863 0.884 0.116
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.987 0.000 1.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.988 1.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.988 1.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.988 1.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 2 0.0376 0.984 0.004 0.996
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0000 0.988 1.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 2 0.2043 0.958 0.032 0.968
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0000 0.988 1.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.987 0.000 1.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.987 0.000 1.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.988 1.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.988 1.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.988 1.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.988 1.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.987 0.000 1.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 2 0.0000 0.987 0.000 1.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 2 0.0000 0.987 0.000 1.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.987 0.000 1.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.988 1.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.988 1.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.987 0.000 1.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.7745 0.703 0.772 0.228
#> 6D3CC3AC-618B-414A-B640-169C735A6568 2 0.0000 0.987 0.000 1.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.988 1.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.0000 0.988 1.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0000 0.988 1.000 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.988 1.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.987 0.000 1.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.9209 0.492 0.664 0.336
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.987 0.000 1.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.988 1.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0000 0.987 0.000 1.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.0000 0.988 1.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.0000 0.988 1.000 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0000 0.988 1.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 2 0.0000 0.987 0.000 1.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 2 0.0000 0.987 0.000 1.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.0000 0.988 1.000 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.987 0.000 1.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.988 1.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.988 1.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.0000 0.988 1.000 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.0000 0.988 1.000 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.988 1.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.987 0.000 1.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 2 0.0000 0.987 0.000 1.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.988 1.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.0000 0.988 1.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 2 0.0000 0.987 0.000 1.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.987 0.000 1.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0000 0.988 1.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0000 0.988 1.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.0000 0.988 1.000 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0000 0.988 1.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.0000 0.988 1.000 0.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.988 1.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0000 0.988 1.000 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.987 0.000 1.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 2 0.0000 0.987 0.000 1.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.0000 0.987 0.000 1.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0000 0.988 1.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 2 0.0000 0.987 0.000 1.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0000 0.988 1.000 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.988 1.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.988 1.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.0000 0.988 1.000 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.0000 0.988 1.000 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.987 0.000 1.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0000 0.987 0.000 1.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 2 0.2043 0.959 0.032 0.968
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0000 0.988 1.000 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.0000 0.988 1.000 0.000
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#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.987 0.000 1.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.988 1.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.987 0.000 1.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.988 1.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.9866 0.237 0.568 0.432
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 2 0.0000 0.987 0.000 1.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.987 0.000 1.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.988 1.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.988 1.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 2 0.9044 0.531 0.320 0.680
#> CE6B6871-3ED3-44DE-A777-7558D4429057 2 0.0376 0.984 0.004 0.996
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 2 0.0000 0.987 0.000 1.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 2 0.0000 0.987 0.000 1.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.988 1.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.988 1.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.988 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.987 0.000 1.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.987 0.000 1.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 2 0.0376 0.984 0.004 0.996
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.988 1.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.988 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.988 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.4702 0.6946 0.000 0.788 0.212
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0592 0.8453 0.012 0.000 0.988
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.1636 0.8452 0.016 0.020 0.964
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.1643 0.8700 0.956 0.000 0.044
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.8756 1.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.1289 0.8737 0.968 0.000 0.032
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.6252 0.2544 0.000 0.444 0.556
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9575 0.000 1.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 2 0.9877 -0.0938 0.352 0.388 0.260
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.1753 0.8682 0.952 0.000 0.048
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.1289 0.8737 0.968 0.000 0.032
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.1643 0.8700 0.956 0.000 0.044
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.1289 0.8449 0.032 0.000 0.968
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.9575 0.000 1.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.1289 0.8449 0.032 0.000 0.968
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.1529 0.8393 0.040 0.000 0.960
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.1753 0.8368 0.048 0.000 0.952
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.1643 0.8700 0.956 0.000 0.044
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.1289 0.8737 0.968 0.000 0.032
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.2796 0.8171 0.092 0.000 0.908
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9575 0.000 1.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.8756 1.000 0.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.1643 0.8700 0.956 0.000 0.044
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.2165 0.8600 0.936 0.000 0.064
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.1529 0.8390 0.040 0.000 0.960
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.6180 0.3353 0.584 0.000 0.416
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.1289 0.8449 0.032 0.000 0.968
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.1289 0.8449 0.032 0.000 0.968
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9575 0.000 1.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.9575 0.000 1.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.1289 0.8737 0.968 0.000 0.032
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.1289 0.8737 0.968 0.000 0.032
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.1643 0.8700 0.956 0.000 0.044
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.1289 0.8737 0.968 0.000 0.032
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.9575 0.000 1.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 2 0.9120 0.3105 0.256 0.544 0.200
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 2 0.5402 0.7004 0.028 0.792 0.180
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.9575 0.000 1.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.1643 0.8700 0.956 0.000 0.044
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.8756 1.000 0.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.9575 0.000 1.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.1643 0.8378 0.044 0.000 0.956
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.2356 0.8238 0.000 0.072 0.928
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.1643 0.8700 0.956 0.000 0.044
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.5397 0.6082 0.280 0.000 0.720
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 3 0.6225 0.1608 0.432 0.000 0.568
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.1289 0.8737 0.968 0.000 0.032
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9575 0.000 1.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.1643 0.8378 0.044 0.000 0.956
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.9575 0.000 1.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.1529 0.8710 0.960 0.000 0.040
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0000 0.9575 0.000 1.000 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.1289 0.8449 0.032 0.000 0.968
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.5968 0.3990 0.364 0.000 0.636
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.3116 0.8292 0.892 0.000 0.108
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.1289 0.8449 0.032 0.000 0.968
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.1289 0.8449 0.032 0.000 0.968
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.1289 0.8737 0.968 0.000 0.032
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.9575 0.000 1.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.1643 0.8700 0.956 0.000 0.044
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.1289 0.8737 0.968 0.000 0.032
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.1411 0.8742 0.964 0.000 0.036
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 3 0.5529 0.5954 0.296 0.000 0.704
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.1643 0.8700 0.956 0.000 0.044
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9575 0.000 1.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.1399 0.8453 0.028 0.004 0.968
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.1529 0.8710 0.960 0.000 0.040
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 3 0.6204 0.2947 0.424 0.000 0.576
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.1399 0.8453 0.028 0.004 0.968
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.9575 0.000 1.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.2165 0.8575 0.936 0.000 0.064
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.5058 0.6597 0.756 0.000 0.244
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.2959 0.8125 0.100 0.000 0.900
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.1643 0.8700 0.956 0.000 0.044
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.1753 0.8682 0.952 0.000 0.048
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.1289 0.8737 0.968 0.000 0.032
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.1289 0.8737 0.968 0.000 0.032
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.9575 0.000 1.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.1529 0.8411 0.000 0.040 0.960
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.0000 0.9575 0.000 1.000 0.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0000 0.8756 1.000 0.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 2 0.6111 0.2677 0.000 0.604 0.396
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.5098 0.6550 0.752 0.000 0.248
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.1289 0.8737 0.968 0.000 0.032
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.1529 0.8710 0.960 0.000 0.040
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.1289 0.8737 0.968 0.000 0.032
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.3340 0.8434 0.880 0.000 0.120
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.9575 0.000 1.000 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0000 0.9575 0.000 1.000 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.1643 0.8378 0.044 0.000 0.956
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.1289 0.8737 0.968 0.000 0.032
#> D47D0936-826F-4D54-9225-F71B95357438 3 0.5098 0.6584 0.248 0.000 0.752
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.9575 0.000 1.000 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.2356 0.8278 0.072 0.000 0.928
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.1289 0.8737 0.968 0.000 0.032
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.1289 0.8737 0.968 0.000 0.032
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 2 0.8175 0.4821 0.236 0.632 0.132
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.1753 0.8682 0.952 0.000 0.048
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.1289 0.8737 0.968 0.000 0.032
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.0592 0.8453 0.012 0.000 0.988
#> 00439565-02CE-4BF5-956D-7078B51C0947 3 0.4137 0.8034 0.032 0.096 0.872
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.9575 0.000 1.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.9575 0.000 1.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.1289 0.8737 0.968 0.000 0.032
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.1289 0.8737 0.968 0.000 0.032
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.9575 0.000 1.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 2 0.0000 0.9575 0.000 1.000 0.000
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.0592 0.8453 0.012 0.000 0.988
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.1289 0.8737 0.968 0.000 0.032
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 2 0.0000 0.9575 0.000 1.000 0.000
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.9575 0.000 1.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.1289 0.8737 0.968 0.000 0.032
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.1289 0.8449 0.032 0.000 0.968
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.1289 0.8449 0.032 0.000 0.968
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.6008 0.4465 0.628 0.000 0.372
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.4750 0.6999 0.784 0.000 0.216
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.5098 0.6550 0.752 0.000 0.248
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.1289 0.8737 0.968 0.000 0.032
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.1643 0.8700 0.956 0.000 0.044
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.1529 0.8710 0.960 0.000 0.040
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.6192 0.3468 0.580 0.000 0.420
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.3686 0.8044 0.860 0.000 0.140
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 3 0.4974 0.6362 0.236 0.000 0.764
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.1643 0.8700 0.956 0.000 0.044
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 3 0.7658 0.3667 0.056 0.356 0.588
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 2 0.0000 0.9575 0.000 1.000 0.000
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 2 0.0000 0.9575 0.000 1.000 0.000
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.1289 0.8737 0.968 0.000 0.032
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 3 0.7043 0.2300 0.020 0.448 0.532
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 1 0.6291 0.2171 0.532 0.000 0.468
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 1 0.3967 0.8554 0.884 0.044 0.072
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.1289 0.8737 0.968 0.000 0.032
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.0000 0.9575 0.000 1.000 0.000
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 3 0.5216 0.6382 0.260 0.000 0.740
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.0000 0.9575 0.000 1.000 0.000
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0000 0.9575 0.000 1.000 0.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.1643 0.8700 0.956 0.000 0.044
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0000 0.9575 0.000 1.000 0.000
#> 9492A322-37CA-4582-AC68-66B5D80778AF 2 0.0000 0.9575 0.000 1.000 0.000
#> 993399A4-1B9F-4258-B2D0-155AD58A2E82 1 0.1529 0.8710 0.960 0.000 0.040
#> 7B7DC93D-5494-4E69-BE07-2967887182F9 1 0.6225 0.3146 0.568 0.000 0.432
#> 29BCBA51-2580-473D-9CF7-BEDBD0DBAD1B 2 0.0000 0.9575 0.000 1.000 0.000
#> 40855647-E942-4F32-90B7-BEB921929BFB 3 0.3686 0.7854 0.140 0.000 0.860
#> 0DC723D0-7C68-4495-A4B9-2DF2FF19AB14 2 0.0000 0.9575 0.000 1.000 0.000
#> 7540005F-57E0-4E2E-A8A2-BEF2B0F333B1 2 0.0000 0.9575 0.000 1.000 0.000
#> EB1DDB14-4076-4C2C-B911-390C17C21486 3 0.6008 0.3182 0.372 0.000 0.628
#> 9EA70EC4-8BA0-4E3D-B3CB-A68D19E89868 1 0.1860 0.8665 0.948 0.000 0.052
#> B04E2E50-0A6E-4224-A825-1714D12E5669 2 0.3038 0.8429 0.000 0.896 0.104
#> B0BF5E01-536D-40FF-9C24-CBBD611E2FC2 1 0.6215 0.3028 0.572 0.000 0.428
#> 7B6B1788-B297-4442-B6BE-B7CE8754491E 1 0.3752 0.8007 0.856 0.000 0.144
#> A090D00C-34DF-4906-A517-4803C4C9A332 1 0.1643 0.8700 0.956 0.000 0.044
#> 340D44A6-9BEA-412C-9973-D9ABD6692255 1 0.5465 0.5905 0.712 0.000 0.288
#> E8D0D1E7-E5A8-4014-80C1-0245F90F4358 2 0.0000 0.9575 0.000 1.000 0.000
#> 19EA1494-8572-40E1-B9BB-3739F47B607D 3 0.5591 0.5717 0.304 0.000 0.696
#> 1C1B4793-8DAF-4763-BA4D-C4E869A4ED35 2 0.3941 0.7761 0.156 0.844 0.000
#> 45BF59B3-95BD-4196-ABAA-4C4F0DB38572 2 0.0424 0.9503 0.000 0.992 0.008
#> 47B5A2A7-7E13-4558-99D2-067F5075C6A4 1 0.1753 0.8682 0.952 0.000 0.048
#> E94638E8-CB51-4FBB-8BCB-4BFD7A812291 1 0.1289 0.8737 0.968 0.000 0.032
#> A17352A8-0D3C-4545-8136-7DAE2FB0E102 2 0.0000 0.9575 0.000 1.000 0.000
#> B18A6F95-D4ED-416B-B5A1-9A4934865D0D 2 0.0000 0.9575 0.000 1.000 0.000
#> 33E92C5F-0C42-4549-AD5B-0A064182A272 3 0.4002 0.7654 0.160 0.000 0.840
#> E041B375-3E60-4F18-A6EF-D1C249E3B8EE 3 0.1643 0.8378 0.044 0.000 0.956
#> EDF90AF6-6C64-4BD2-AADF-8D7D188650B2 2 0.0000 0.9575 0.000 1.000 0.000
#> 569320D2-316C-4E2D-B7B3-D7D5C4DAD42D 1 0.1529 0.8710 0.960 0.000 0.040
#> AFFB223D-DAE9-4567-9EF2-8E4DF9D8782D 2 0.0000 0.9575 0.000 1.000 0.000
#> 56FC9454-0A6A-4CC3-95C4-BE0E0D0BAFCE 2 0.0000 0.9575 0.000 1.000 0.000
#> 43226365-FAEF-46C5-AF1B-5C6C2BED84FF 2 0.6126 0.3315 0.400 0.600 0.000
#> 1536110A-B42A-4A84-9474-9895321FDCE9 2 0.0000 0.9575 0.000 1.000 0.000
#> 812255DD-536B-4216-90B1-27D5AB339BE2 1 0.1643 0.8700 0.956 0.000 0.044
#> 5D4563D6-68B7-4C9D-A3F4-AA7D45D5112C 2 0.0000 0.9575 0.000 1.000 0.000
#> BAA39781-DB94-473C-98B1-FA6CD3E1C67A 1 0.1289 0.8737 0.968 0.000 0.032
#> C1411CDA-814D-4E21-8929-C0F77858828F 1 0.6168 0.3539 0.588 0.000 0.412
#> EFE2F248-C13E-4E8D-9153-8C903848AC4A 1 0.2096 0.8661 0.944 0.004 0.052
#> D3939C84-D1D6-4060-9F91-AEB222A9BDD5 1 0.5760 0.5404 0.672 0.000 0.328
#> EABD2987-8C1E-49E5-94AF-C0BDE5335A48 1 0.5591 0.5638 0.696 0.000 0.304
#> F4BE2ABE-2CEB-4A6A-B8EC-0355F8C63B9B 1 0.4842 0.6886 0.776 0.000 0.224
#> 627BC251-D217-4955-B718-6B9D6DEA1756 1 0.0000 0.8756 1.000 0.000 0.000
#> 31B54613-A20E-4039-BB8B-9B52104CE418 1 0.1289 0.8737 0.968 0.000 0.032
#> 3F292B7C-A535-4DBD-BC20-CB4F85A1C94B 1 0.6168 0.3531 0.588 0.000 0.412
#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 2 0.0000 0.9575 0.000 1.000 0.000
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.0000 0.9575 0.000 1.000 0.000
#> 4588817E-1068-4A78-86B6-4674A0112DDA 2 0.2918 0.8778 0.044 0.924 0.032
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 2 0.0000 0.9575 0.000 1.000 0.000
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.0000 0.8756 1.000 0.000 0.000
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.1643 0.8700 0.956 0.000 0.044
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.0000 0.9575 0.000 1.000 0.000
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.1643 0.8700 0.956 0.000 0.044
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 3 0.4121 0.7575 0.168 0.000 0.832
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.0000 0.9575 0.000 1.000 0.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.0000 0.9575 0.000 1.000 0.000
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.0237 0.9540 0.000 0.996 0.004
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.1643 0.8700 0.956 0.000 0.044
#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.6274 0.1444 0.544 0.000 0.456
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.0424 0.8755 0.992 0.000 0.008
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.5621 0.5725 0.692 0.000 0.308
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.0892 0.8750 0.980 0.000 0.020
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0000 0.9575 0.000 1.000 0.000
#> 344B9631-AAA5-4302-8747-D584345D9131 3 0.2959 0.8123 0.100 0.000 0.900
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.1289 0.8737 0.968 0.000 0.032
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 2 0.2918 0.8778 0.044 0.924 0.032
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.1289 0.8737 0.968 0.000 0.032
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 2 0.0000 0.9575 0.000 1.000 0.000
#> FD544083-9BD5-4036-BD81-0352B67CC45C 3 0.1753 0.8368 0.048 0.000 0.952
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0592 0.8750 0.988 0.000 0.012
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.1643 0.8700 0.956 0.000 0.044
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.5254 0.6311 0.736 0.000 0.264
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.1163 0.8731 0.972 0.000 0.028
#> 9EEECA0E-530D-4724-B016-A716F0782148 2 0.1643 0.9151 0.000 0.956 0.044
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 3 0.2066 0.8442 0.060 0.000 0.940
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0000 0.9575 0.000 1.000 0.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.0000 0.9575 0.000 1.000 0.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 3 0.4137 0.8034 0.032 0.096 0.872
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.6079 0.4086 0.612 0.000 0.388
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.1289 0.8737 0.968 0.000 0.032
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.5988 0.4342 0.632 0.000 0.368
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0592 0.8750 0.988 0.000 0.012
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.0424 0.9503 0.000 0.992 0.008
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 3 0.4371 0.7942 0.032 0.108 0.860
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.2356 0.8238 0.000 0.072 0.928
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0000 0.8756 1.000 0.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.1289 0.8737 0.968 0.000 0.032
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.0000 0.9575 0.000 1.000 0.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.1529 0.8390 0.040 0.000 0.960
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.9575 0.000 1.000 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.9575 0.000 1.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.9575 0.000 1.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.1753 0.8368 0.048 0.000 0.952
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.2448 0.8211 0.000 0.076 0.924
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.5138 0.6492 0.748 0.000 0.252
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.1289 0.8737 0.968 0.000 0.032
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.1289 0.8737 0.968 0.000 0.032
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.1289 0.8449 0.032 0.000 0.968
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.1289 0.8449 0.032 0.000 0.968
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.1289 0.8737 0.968 0.000 0.032
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.1289 0.8737 0.968 0.000 0.032
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.9575 0.000 1.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.2384 0.8619 0.936 0.008 0.056
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.1711 0.8435 0.008 0.032 0.960
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 3 0.1289 0.8449 0.032 0.000 0.968
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.9575 0.000 1.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.9575 0.000 1.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.8756 1.000 0.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.9575 0.000 1.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.9575 0.000 1.000 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.5254 0.6316 0.264 0.000 0.736
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.5621 0.5727 0.692 0.000 0.308
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.9575 0.000 1.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.9575 0.000 1.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.3340 0.7918 0.000 0.120 0.880
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.1289 0.8737 0.968 0.000 0.032
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 3 0.6225 0.2706 0.432 0.000 0.568
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.9575 0.000 1.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.1289 0.8737 0.968 0.000 0.032
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.9575 0.000 1.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.1289 0.8737 0.968 0.000 0.032
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.4702 0.7054 0.788 0.000 0.212
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.6154 0.3639 0.592 0.000 0.408
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.1964 0.8344 0.056 0.000 0.944
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.1289 0.8737 0.968 0.000 0.032
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.9575 0.000 1.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.5859 0.4892 0.344 0.000 0.656
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.6140 0.3065 0.596 0.000 0.404
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.3686 0.7920 0.860 0.000 0.140
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.1289 0.8449 0.032 0.000 0.968
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.1643 0.8700 0.956 0.000 0.044
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0592 0.8750 0.988 0.000 0.012
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 3 0.4121 0.7466 0.168 0.000 0.832
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.5291 0.6238 0.268 0.000 0.732
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.1529 0.8710 0.960 0.000 0.040
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.3340 0.8116 0.880 0.000 0.120
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.1289 0.8449 0.032 0.000 0.968
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.4399 0.7534 0.812 0.000 0.188
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.9575 0.000 1.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.3619 0.8059 0.864 0.000 0.136
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.4796 0.6857 0.220 0.780 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.1289 0.8737 0.968 0.000 0.032
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.1289 0.8737 0.968 0.000 0.032
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.1289 0.8737 0.968 0.000 0.032
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.9575 0.000 1.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.8941 0.4357 0.160 0.292 0.548
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.4235 0.7410 0.000 0.176 0.824
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.8024 0.5908 0.132 0.220 0.648
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.0000 0.9575 0.000 1.000 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.1289 0.8449 0.032 0.000 0.968
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.6467 0.3503 0.008 0.388 0.604
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.1529 0.8710 0.960 0.000 0.040
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.1289 0.8737 0.968 0.000 0.032
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.9575 0.000 1.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.1643 0.8700 0.956 0.000 0.044
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.9575 0.000 1.000 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.1860 0.8670 0.948 0.000 0.052
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.1289 0.8449 0.032 0.000 0.968
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.1289 0.8449 0.032 0.000 0.968
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.9575 0.000 1.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.5650 0.5658 0.688 0.000 0.312
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.6225 0.3185 0.568 0.000 0.432
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.7301 0.4923 0.640 0.308 0.052
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.8460 0.000 0.000 1.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.7570 0.2986 0.044 0.404 0.552
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.4137 0.8034 0.032 0.096 0.872
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.1289 0.8449 0.032 0.000 0.968
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.1643 0.8700 0.956 0.000 0.044
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.5178 0.6429 0.744 0.000 0.256
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9575 0.000 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9575 0.000 1.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.8460 0.000 0.000 1.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.5733 0.5434 0.676 0.000 0.324
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.1411 0.8723 0.964 0.000 0.036
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0592 0.8750 0.988 0.000 0.012
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.2149 0.8825 0.000 0.912 0.088 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.8652 0.000 0.000 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.0000 0.8652 0.000 0.000 1.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.2921 0.7872 0.860 0.000 0.000 0.140
#> 03E81178-E971-4E91-8BED-D8273EA1425C 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.4916 0.1964 0.000 0.424 0.576 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 4 0.0188 0.9153 0.004 0.000 0.000 0.996
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.8652 0.000 0.000 1.000 0.000
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#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> 4588817E-1068-4A78-86B6-4674A0112DDA 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.2469 0.8195 0.892 0.000 0.000 0.108
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 3 0.4643 0.5110 0.000 0.000 0.656 0.344
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.7523 0.0553 0.412 0.000 0.184 0.404
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 4 0.3610 0.7141 0.200 0.000 0.000 0.800
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 4 0.4855 0.3315 0.400 0.000 0.000 0.600
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> 344B9631-AAA5-4302-8747-D584345D9131 3 0.4933 0.3435 0.000 0.000 0.568 0.432
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 4 0.0188 0.9153 0.004 0.000 0.000 0.996
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> 297611E9-9555-4BCA-A723-02E846ACC23A 4 0.0188 0.9153 0.004 0.000 0.000 0.996
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 2 0.3074 0.7994 0.000 0.848 0.000 0.152
#> FD544083-9BD5-4036-BD81-0352B67CC45C 3 0.0592 0.8575 0.000 0.000 0.984 0.016
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0188 0.8954 0.996 0.000 0.000 0.004
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0707 0.8862 0.980 0.000 0.000 0.020
#> 9EEECA0E-530D-4724-B016-A716F0782148 2 0.0921 0.9417 0.000 0.972 0.028 0.000
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 3 0.0000 0.8652 0.000 0.000 1.000 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.4697 0.5048 0.644 0.000 0.356 0.000
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 4 0.0188 0.9153 0.004 0.000 0.000 0.996
#> C86EBD08-53F2-4972-801A-74970FDD6A62 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0188 0.8953 0.996 0.000 0.000 0.004
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.3688 0.7260 0.000 0.792 0.208 0.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.4454 0.5847 0.692 0.000 0.308 0.000
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.0000 0.8652 0.000 0.000 1.000 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.4998 0.0253 0.512 0.000 0.000 0.488
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.0000 0.8652 0.000 0.000 1.000 0.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.1867 0.8230 0.000 0.000 0.928 0.072
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.0000 0.8652 0.000 0.000 1.000 0.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> B55743F2-4D63-4375-85D3-F58281CFD852 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.0000 0.8652 0.000 0.000 1.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.0000 0.8652 0.000 0.000 1.000 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.0000 0.8652 0.000 0.000 1.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 3 0.4790 0.2566 0.380 0.000 0.620 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 4 0.1389 0.8768 0.048 0.000 0.000 0.952
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.4720 0.6691 0.188 0.000 0.768 0.044
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.0000 0.8652 0.000 0.000 1.000 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 4 0.0707 0.9005 0.000 0.000 0.020 0.980
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.4776 0.4552 0.000 0.000 0.624 0.376
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.4981 0.2737 0.000 0.000 0.536 0.464
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 4 0.7613 0.0383 0.368 0.000 0.204 0.428
#> D365A238-4739-4B54-9608-DC548F21C04E 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.0000 0.8652 0.000 0.000 1.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0707 0.8859 0.980 0.000 0.000 0.020
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.4193 0.6397 0.732 0.000 0.268 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.3082 0.8017 0.032 0.000 0.884 0.084
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.1174 0.8816 0.968 0.000 0.020 0.012
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.4817 0.4396 0.612 0.000 0.388 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.2973 0.7846 0.856 0.000 0.000 0.144
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.6701 0.3671 0.328 0.564 0.000 0.108
#> 9AF0E82E-E621-437A-8D19-700532B95090 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.7582 0.1558 0.456 0.000 0.208 0.336
#> EFE5A302-D138-4044-A301-5C5FD1C24836 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.3448 0.7523 0.828 0.004 0.168 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.4661 0.3921 0.000 0.348 0.652 0.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.1118 0.8769 0.964 0.000 0.036 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.2216 0.8742 0.000 0.908 0.000 0.092
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.0000 0.8652 0.000 0.000 1.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.4922 0.6406 0.000 0.228 0.736 0.036
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.0000 0.8652 0.000 0.000 1.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.1389 0.8300 0.048 0.000 0.952 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.4452 0.6449 0.732 0.000 0.260 0.008
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.8652 0.000 0.000 1.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.5337 0.3504 0.000 0.012 0.564 0.424
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.4250 0.6357 0.724 0.000 0.276 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.2973 0.7385 0.144 0.000 0.856 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9660 0.000 1.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.8652 0.000 0.000 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.8973 1.000 0.000 0.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 4 0.0000 0.9180 0.000 0.000 0.000 1.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0188 0.8953 0.996 0.000 0.000 0.004
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.6539 0.5653 0.144 0.632 0.084 0.140 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.8852 0.000 0.000 1.000 0.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 4 0.3636 0.4574 0.000 0.000 0.272 0.728 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 4 0.4201 0.3425 0.408 0.000 0.000 0.592 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 4 0.6335 0.3918 0.204 0.000 0.000 0.520 0.276
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.0000 0.9294 0.000 0.000 0.000 0.000 1.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 2 0.5775 0.0180 0.000 0.472 0.440 0.088 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.0290 0.9274 0.000 0.000 0.000 0.008 0.992
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.2074 0.8214 0.896 0.000 0.000 0.104 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 5 0.0290 0.9276 0.008 0.000 0.000 0.000 0.992
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0162 0.8423 0.996 0.000 0.000 0.004 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.8852 0.000 0.000 1.000 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0771 0.9503 0.004 0.976 0.000 0.020 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 4 0.1041 0.7299 0.032 0.000 0.004 0.964 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.8852 0.000 0.000 1.000 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0000 0.8852 0.000 0.000 1.000 0.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.1732 0.8336 0.920 0.000 0.000 0.080 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.0404 0.9261 0.000 0.000 0.000 0.012 0.988
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0404 0.8815 0.000 0.000 0.988 0.000 0.012
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 4 0.6303 0.3812 0.268 0.000 0.000 0.528 0.204
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.4150 0.3086 0.612 0.000 0.000 0.388 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 4 0.4268 0.2686 0.444 0.000 0.000 0.556 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.8852 0.000 0.000 1.000 0.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 4 0.3906 0.5623 0.016 0.000 0.000 0.744 0.240
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0000 0.8852 0.000 0.000 1.000 0.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.3143 0.7148 0.000 0.000 0.796 0.204 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
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#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.2280 0.8087 0.880 0.000 0.000 0.120 0.000
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 3 0.1341 0.8622 0.000 0.000 0.944 0.000 0.056
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.0510 0.9514 0.000 0.984 0.000 0.016 0.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.0898 0.9483 0.008 0.972 0.000 0.020 0.000
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.1671 0.8359 0.924 0.000 0.000 0.076 0.000
#> A9022D9E-1D30-49EE-8552-1364A8027F34 4 0.0671 0.7288 0.016 0.000 0.000 0.980 0.004
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 5 0.3639 0.7369 0.184 0.000 0.000 0.024 0.792
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 4 0.0880 0.7298 0.032 0.000 0.000 0.968 0.000
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 5 0.5544 0.4259 0.292 0.000 0.000 0.100 0.608
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> 344B9631-AAA5-4302-8747-D584345D9131 3 0.3143 0.7554 0.000 0.000 0.796 0.000 0.204
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 5 0.3336 0.7314 0.228 0.000 0.000 0.000 0.772
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 5 0.0162 0.9285 0.000 0.000 0.000 0.004 0.996
#> 297611E9-9555-4BCA-A723-02E846ACC23A 5 0.0290 0.9276 0.008 0.000 0.000 0.000 0.992
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 2 0.2921 0.8294 0.000 0.856 0.000 0.020 0.124
#> FD544083-9BD5-4036-BD81-0352B67CC45C 3 0.0162 0.8840 0.000 0.000 0.996 0.000 0.004
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.3181 0.7973 0.856 0.000 0.000 0.072 0.072
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.0162 0.8423 0.996 0.000 0.000 0.004 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 5 0.3932 0.5438 0.000 0.000 0.000 0.328 0.672
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0579 0.8418 0.984 0.000 0.000 0.008 0.008
#> 9EEECA0E-530D-4724-B016-A716F0782148 2 0.2201 0.9096 0.032 0.920 0.008 0.040 0.000
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 3 0.4268 0.3075 0.000 0.000 0.556 0.444 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0290 0.9494 0.000 0.992 0.000 0.008 0.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.0771 0.9503 0.004 0.976 0.000 0.020 0.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 4 0.0609 0.7287 0.020 0.000 0.000 0.980 0.000
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.4249 0.0823 0.568 0.000 0.000 0.432 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 5 0.3039 0.7697 0.192 0.000 0.000 0.000 0.808
#> C86EBD08-53F2-4972-801A-74970FDD6A62 5 0.3039 0.7508 0.000 0.000 0.000 0.192 0.808
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.3192 0.8024 0.848 0.000 0.000 0.112 0.040
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.1197 0.9173 0.000 0.952 0.000 0.048 0.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 4 0.3816 0.4990 0.304 0.000 0.000 0.696 0.000
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.0000 0.8852 0.000 0.000 1.000 0.000 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 5 0.4923 0.6048 0.212 0.000 0.000 0.088 0.700
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 5 0.0000 0.9294 0.000 0.000 0.000 0.000 1.000
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.0771 0.9503 0.004 0.976 0.000 0.020 0.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.3074 0.7290 0.000 0.000 0.804 0.196 0.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.0880 0.8737 0.000 0.000 0.968 0.000 0.032
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.0000 0.8852 0.000 0.000 1.000 0.000 0.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 5 0.1106 0.9201 0.024 0.000 0.000 0.012 0.964
#> B55743F2-4D63-4375-85D3-F58281CFD852 5 0.0000 0.9294 0.000 0.000 0.000 0.000 1.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 5 0.0162 0.9285 0.000 0.000 0.000 0.004 0.996
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.0000 0.8852 0.000 0.000 1.000 0.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.0000 0.8852 0.000 0.000 1.000 0.000 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 5 0.0000 0.9294 0.000 0.000 0.000 0.000 1.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 5 0.0290 0.9281 0.008 0.000 0.000 0.000 0.992
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.2966 0.7360 0.816 0.000 0.000 0.184 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.0000 0.8852 0.000 0.000 1.000 0.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 4 0.0771 0.7292 0.020 0.000 0.004 0.976 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0771 0.9503 0.004 0.976 0.000 0.020 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 5 0.1768 0.8835 0.004 0.000 0.000 0.072 0.924
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0771 0.9503 0.004 0.976 0.000 0.020 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.2068 0.8299 0.004 0.000 0.904 0.092 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 4 0.3210 0.6322 0.212 0.000 0.000 0.788 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.0000 0.8852 0.000 0.000 1.000 0.000 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 5 0.0162 0.9289 0.004 0.000 0.000 0.000 0.996
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 5 0.3684 0.5825 0.000 0.000 0.280 0.000 0.720
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 5 0.0000 0.9294 0.000 0.000 0.000 0.000 1.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0771 0.9503 0.004 0.976 0.000 0.020 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 5 0.0000 0.9294 0.000 0.000 0.000 0.000 1.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 5 0.0290 0.9274 0.000 0.000 0.000 0.008 0.992
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 4 0.0963 0.7298 0.036 0.000 0.000 0.964 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.2732 0.7987 0.000 0.000 0.840 0.000 0.160
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 5 0.0404 0.9269 0.012 0.000 0.000 0.000 0.988
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.3123 0.7751 0.004 0.000 0.812 0.000 0.184
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 4 0.1012 0.7274 0.020 0.000 0.000 0.968 0.012
#> D365A238-4739-4B54-9608-DC548F21C04E 5 0.0290 0.9274 0.000 0.000 0.000 0.008 0.992
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 4 0.0794 0.7177 0.000 0.000 0.028 0.972 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0162 0.8423 0.996 0.000 0.000 0.004 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.3691 0.7612 0.820 0.000 0.000 0.076 0.104
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 4 0.1043 0.7292 0.040 0.000 0.000 0.960 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.3280 0.7548 0.176 0.000 0.812 0.000 0.012
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0566 0.8398 0.984 0.000 0.000 0.004 0.012
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.5623 0.1008 0.520 0.000 0.056 0.416 0.008
#> CCDB0290-91DA-4089-84A6-4434BA028D30 4 0.0771 0.7292 0.020 0.000 0.004 0.976 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 4 0.0609 0.7295 0.020 0.000 0.000 0.980 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 4 0.4219 0.3421 0.416 0.000 0.000 0.584 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.1173 0.8192 0.964 0.012 0.000 0.020 0.004
#> 9AF0E82E-E621-437A-8D19-700532B95090 5 0.0000 0.9294 0.000 0.000 0.000 0.000 1.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 3 0.8562 -0.0749 0.244 0.000 0.304 0.216 0.236
#> EFE5A302-D138-4044-A301-5C5FD1C24836 5 0.1410 0.8954 0.060 0.000 0.000 0.000 0.940
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.4787 0.0184 0.548 0.000 0.020 0.432 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 4 0.6555 0.1925 0.000 0.320 0.220 0.460 0.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 4 0.4210 0.3770 0.412 0.000 0.000 0.588 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.3534 0.6505 0.000 0.744 0.000 0.000 0.256
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.1608 0.8479 0.072 0.000 0.928 0.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.1644 0.8603 0.048 0.000 0.940 0.008 0.004
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.1792 0.8331 0.916 0.000 0.000 0.084 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 5 0.0000 0.9294 0.000 0.000 0.000 0.000 1.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0771 0.9503 0.004 0.976 0.000 0.020 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.2074 0.8215 0.896 0.000 0.000 0.104 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0771 0.9503 0.004 0.976 0.000 0.020 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0162 0.8423 0.996 0.000 0.000 0.004 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 4 0.1851 0.6799 0.000 0.000 0.088 0.912 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.6329 0.2669 0.240 0.000 0.528 0.232 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0162 0.9515 0.004 0.996 0.000 0.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 4 0.4182 0.3748 0.400 0.000 0.000 0.600 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 4 0.1608 0.7121 0.072 0.000 0.000 0.928 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.1908 0.8174 0.908 0.000 0.000 0.092 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.8852 0.000 0.000 1.000 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.3266 0.7547 0.000 0.004 0.796 0.000 0.200
#> 1ABBEF80-508F-4247-B43D-3E549372113B 4 0.0963 0.7298 0.036 0.000 0.000 0.964 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 4 0.1485 0.7223 0.020 0.000 0.032 0.948 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0162 0.8423 0.996 0.000 0.000 0.004 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.3730 0.6118 0.000 0.000 0.000 0.288 0.712
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9532 0.000 1.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.8852 0.000 0.000 1.000 0.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 4 0.4182 0.3748 0.400 0.000 0.000 0.600 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.0404 0.9261 0.000 0.000 0.000 0.012 0.988
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.2388 0.8328 0.900 0.000 0.000 0.072 0.028
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.1015 0.80859 0.012 0.004 0.004 0.968 0.000 0.012
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0146 0.88957 0.000 0.000 0.996 0.004 0.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 6 0.3398 0.48073 0.000 0.000 0.252 0.008 0.000 0.740
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.3866 -0.12773 0.516 0.000 0.000 0.000 0.000 0.484
#> 78F79407-D49F-4FA2-B09F-0665C502827C 6 0.5360 0.12355 0.436 0.000 0.000 0.000 0.108 0.456
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.0146 0.92488 0.000 0.000 0.000 0.004 0.996 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.5516 0.30359 0.000 0.360 0.528 0.012 0.000 0.100
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.97009 0.000 1.000 0.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.1408 0.90958 0.000 0.000 0.000 0.036 0.944 0.020
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.2060 0.75807 0.900 0.000 0.000 0.016 0.000 0.084
#> B710293C-41D3-4A2E-8104-5402F91DD859 5 0.0806 0.92122 0.020 0.000 0.000 0.008 0.972 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.1075 0.76798 0.952 0.000 0.000 0.048 0.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0146 0.88957 0.000 0.000 0.996 0.004 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.2300 0.85561 0.000 0.144 0.000 0.856 0.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 6 0.0806 0.74368 0.020 0.000 0.000 0.008 0.000 0.972
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.88930 0.000 0.000 1.000 0.000 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0260 0.88764 0.000 0.000 0.992 0.008 0.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.1398 0.77329 0.940 0.000 0.000 0.008 0.000 0.052
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.0632 0.92049 0.000 0.000 0.000 0.000 0.976 0.024
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0405 0.88720 0.000 0.000 0.988 0.008 0.004 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.97009 0.000 1.000 0.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 6 0.5114 0.11445 0.452 0.000 0.000 0.000 0.080 0.468
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.3636 0.39522 0.676 0.000 0.000 0.000 0.004 0.320
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 6 0.4341 0.37521 0.412 0.000 0.000 0.024 0.000 0.564
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0146 0.88957 0.000 0.000 0.996 0.004 0.000 0.000
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#> 89C45456-9392-4EB3-9A82-A130B6702AAF 4 0.2886 0.72629 0.064 0.000 0.004 0.860 0.000 0.072
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#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.6951 0.21281 0.088 0.000 0.456 0.216 0.000 0.240
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.97009 0.000 1.000 0.000 0.000 0.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 6 0.4166 0.53765 0.324 0.000 0.000 0.028 0.000 0.648
#> 6752EED9-7990-433F-A206-D5398C396471 6 0.0713 0.74018 0.028 0.000 0.000 0.000 0.000 0.972
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.2842 0.71911 0.852 0.000 0.000 0.044 0.000 0.104
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0146 0.88957 0.000 0.000 0.996 0.004 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.2586 0.83982 0.000 0.032 0.880 0.008 0.080 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 6 0.0909 0.74369 0.020 0.000 0.000 0.012 0.000 0.968
#> 835AAE7F-F873-4D11-8845-232D261A38DF 6 0.1500 0.72843 0.012 0.000 0.052 0.000 0.000 0.936
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0713 0.77303 0.972 0.000 0.000 0.028 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.3076 0.71408 0.000 0.000 0.000 0.000 0.760 0.240
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.97009 0.000 1.000 0.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.97009 0.000 1.000 0.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0146 0.88957 0.000 0.000 0.996 0.004 0.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 6 0.4264 0.49230 0.352 0.000 0.000 0.028 0.000 0.620
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.0858 0.91903 0.000 0.000 0.000 0.004 0.968 0.028
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.1644 0.77487 0.932 0.000 0.000 0.000 0.028 0.040
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 17469 rows and 309 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 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 0.983 0.993 0.3742 0.628 0.628
#> 3 3 0.674 0.669 0.854 0.6305 0.797 0.676
#> 4 4 0.749 0.717 0.862 0.1611 0.807 0.570
#> 5 5 0.667 0.603 0.787 0.0774 0.948 0.822
#> 6 6 0.697 0.619 0.783 0.0699 0.877 0.556
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.0000 0.994 1.000 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.0000 0.994 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.0000 0.994 1.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.994 1.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.994 1.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.994 1.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.9881 0.222 0.564 0.436
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.988 0.000 1.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.0000 0.994 1.000 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.994 1.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.994 1.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.994 1.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.0000 0.994 1.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.988 0.000 1.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.0000 0.994 1.000 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.0000 0.994 1.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.0000 0.994 1.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.994 1.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.994 1.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0000 0.994 1.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.988 0.000 1.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.994 1.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.994 1.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.994 1.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.0000 0.994 1.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0000 0.994 1.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.0000 0.994 1.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0000 0.994 1.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.988 0.000 1.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0376 0.985 0.004 0.996
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.994 1.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.994 1.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.994 1.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.994 1.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.988 0.000 1.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.0000 0.994 1.000 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.0000 0.994 1.000 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.988 0.000 1.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.994 1.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.994 1.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.988 0.000 1.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.0000 0.994 1.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.0000 0.994 1.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.994 1.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.0000 0.994 1.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0000 0.994 1.000 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.994 1.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.988 0.000 1.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.0000 0.994 1.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.988 0.000 1.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.994 1.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0000 0.988 0.000 1.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.0000 0.994 1.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.0000 0.994 1.000 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0000 0.994 1.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.0000 0.994 1.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 1 0.0000 0.994 1.000 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.0000 0.994 1.000 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.988 0.000 1.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.994 1.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.994 1.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.0000 0.994 1.000 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.0000 0.994 1.000 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.994 1.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.988 0.000 1.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 1 0.0000 0.994 1.000 0.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.994 1.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.0000 0.994 1.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 1 0.0000 0.994 1.000 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.988 0.000 1.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0000 0.994 1.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0000 0.994 1.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.0000 0.994 1.000 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0000 0.994 1.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.0000 0.994 1.000 0.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.994 1.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0000 0.994 1.000 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.988 0.000 1.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 1 0.0376 0.990 0.996 0.004
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.0000 0.988 0.000 1.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0000 0.994 1.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 1 0.5059 0.872 0.888 0.112
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0000 0.994 1.000 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.994 1.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.994 1.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.0000 0.994 1.000 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.0000 0.994 1.000 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.988 0.000 1.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0000 0.988 0.000 1.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 1 0.0000 0.994 1.000 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0000 0.994 1.000 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.0000 0.994 1.000 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.988 0.000 1.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.0000 0.994 1.000 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0000 0.994 1.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0000 0.994 1.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.0000 0.994 1.000 0.000
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.0000 0.994 1.000 0.000
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.0000 0.994 1.000 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 1 0.0000 0.994 1.000 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 1 0.0000 0.994 1.000 0.000
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.988 0.000 1.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.988 0.000 1.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.0000 0.994 1.000 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.0000 0.994 1.000 0.000
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.988 0.000 1.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 2 0.6712 0.793 0.176 0.824
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 1 0.0000 0.994 1.000 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.0000 0.994 1.000 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 2 0.0376 0.985 0.004 0.996
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.988 0.000 1.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.0000 0.994 1.000 0.000
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 1 0.0000 0.994 1.000 0.000
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 1 0.0000 0.994 1.000 0.000
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.0000 0.994 1.000 0.000
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.0000 0.994 1.000 0.000
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.0000 0.994 1.000 0.000
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.0000 0.994 1.000 0.000
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.0000 0.994 1.000 0.000
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.0000 0.994 1.000 0.000
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.0000 0.994 1.000 0.000
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.0000 0.994 1.000 0.000
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 1 0.0000 0.994 1.000 0.000
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.0000 0.994 1.000 0.000
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 1 0.0000 0.994 1.000 0.000
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 1 0.9635 0.363 0.612 0.388
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 2 0.0938 0.978 0.012 0.988
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.0000 0.994 1.000 0.000
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 1 0.0376 0.990 0.996 0.004
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 1 0.0000 0.994 1.000 0.000
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 1 0.0000 0.994 1.000 0.000
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.0000 0.994 1.000 0.000
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.0000 0.988 0.000 1.000
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 1 0.0000 0.994 1.000 0.000
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.0000 0.988 0.000 1.000
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0000 0.988 0.000 1.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.0000 0.994 1.000 0.000
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0000 0.988 0.000 1.000
#> 9492A322-37CA-4582-AC68-66B5D80778AF 2 0.0000 0.988 0.000 1.000
#> 993399A4-1B9F-4258-B2D0-155AD58A2E82 1 0.0000 0.994 1.000 0.000
#> 7B7DC93D-5494-4E69-BE07-2967887182F9 1 0.0000 0.994 1.000 0.000
#> 29BCBA51-2580-473D-9CF7-BEDBD0DBAD1B 2 0.0000 0.988 0.000 1.000
#> 40855647-E942-4F32-90B7-BEB921929BFB 1 0.0000 0.994 1.000 0.000
#> 0DC723D0-7C68-4495-A4B9-2DF2FF19AB14 2 0.0376 0.985 0.004 0.996
#> 7540005F-57E0-4E2E-A8A2-BEF2B0F333B1 2 0.0000 0.988 0.000 1.000
#> EB1DDB14-4076-4C2C-B911-390C17C21486 1 0.0000 0.994 1.000 0.000
#> 9EA70EC4-8BA0-4E3D-B3CB-A68D19E89868 1 0.0000 0.994 1.000 0.000
#> B04E2E50-0A6E-4224-A825-1714D12E5669 2 0.0000 0.988 0.000 1.000
#> B0BF5E01-536D-40FF-9C24-CBBD611E2FC2 1 0.0000 0.994 1.000 0.000
#> 7B6B1788-B297-4442-B6BE-B7CE8754491E 1 0.0000 0.994 1.000 0.000
#> A090D00C-34DF-4906-A517-4803C4C9A332 1 0.0000 0.994 1.000 0.000
#> 340D44A6-9BEA-412C-9973-D9ABD6692255 1 0.0000 0.994 1.000 0.000
#> E8D0D1E7-E5A8-4014-80C1-0245F90F4358 2 0.0000 0.988 0.000 1.000
#> 19EA1494-8572-40E1-B9BB-3739F47B607D 1 0.0000 0.994 1.000 0.000
#> 1C1B4793-8DAF-4763-BA4D-C4E869A4ED35 1 0.0000 0.994 1.000 0.000
#> 45BF59B3-95BD-4196-ABAA-4C4F0DB38572 2 0.8443 0.632 0.272 0.728
#> 47B5A2A7-7E13-4558-99D2-067F5075C6A4 1 0.0000 0.994 1.000 0.000
#> E94638E8-CB51-4FBB-8BCB-4BFD7A812291 1 0.0000 0.994 1.000 0.000
#> A17352A8-0D3C-4545-8136-7DAE2FB0E102 2 0.5519 0.856 0.128 0.872
#> B18A6F95-D4ED-416B-B5A1-9A4934865D0D 2 0.0000 0.988 0.000 1.000
#> 33E92C5F-0C42-4549-AD5B-0A064182A272 1 0.0000 0.994 1.000 0.000
#> E041B375-3E60-4F18-A6EF-D1C249E3B8EE 1 0.0000 0.994 1.000 0.000
#> EDF90AF6-6C64-4BD2-AADF-8D7D188650B2 2 0.0000 0.988 0.000 1.000
#> 569320D2-316C-4E2D-B7B3-D7D5C4DAD42D 1 0.0000 0.994 1.000 0.000
#> AFFB223D-DAE9-4567-9EF2-8E4DF9D8782D 2 0.0000 0.988 0.000 1.000
#> 56FC9454-0A6A-4CC3-95C4-BE0E0D0BAFCE 2 0.0000 0.988 0.000 1.000
#> 43226365-FAEF-46C5-AF1B-5C6C2BED84FF 1 0.0000 0.994 1.000 0.000
#> 1536110A-B42A-4A84-9474-9895321FDCE9 2 0.0000 0.988 0.000 1.000
#> 812255DD-536B-4216-90B1-27D5AB339BE2 1 0.0000 0.994 1.000 0.000
#> 5D4563D6-68B7-4C9D-A3F4-AA7D45D5112C 2 0.0000 0.988 0.000 1.000
#> BAA39781-DB94-473C-98B1-FA6CD3E1C67A 1 0.0000 0.994 1.000 0.000
#> C1411CDA-814D-4E21-8929-C0F77858828F 1 0.0000 0.994 1.000 0.000
#> EFE2F248-C13E-4E8D-9153-8C903848AC4A 1 0.0000 0.994 1.000 0.000
#> D3939C84-D1D6-4060-9F91-AEB222A9BDD5 1 0.0000 0.994 1.000 0.000
#> EABD2987-8C1E-49E5-94AF-C0BDE5335A48 1 0.0000 0.994 1.000 0.000
#> F4BE2ABE-2CEB-4A6A-B8EC-0355F8C63B9B 1 0.0000 0.994 1.000 0.000
#> 627BC251-D217-4955-B718-6B9D6DEA1756 1 0.0000 0.994 1.000 0.000
#> 31B54613-A20E-4039-BB8B-9B52104CE418 1 0.0000 0.994 1.000 0.000
#> 3F292B7C-A535-4DBD-BC20-CB4F85A1C94B 1 0.0000 0.994 1.000 0.000
#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 2 0.0000 0.988 0.000 1.000
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.0000 0.988 0.000 1.000
#> 4588817E-1068-4A78-86B6-4674A0112DDA 1 0.0000 0.994 1.000 0.000
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 2 0.0000 0.988 0.000 1.000
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.0000 0.994 1.000 0.000
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.0000 0.994 1.000 0.000
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.0000 0.988 0.000 1.000
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.0000 0.994 1.000 0.000
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 1 0.0000 0.994 1.000 0.000
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.0000 0.988 0.000 1.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.0000 0.988 0.000 1.000
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.3274 0.933 0.060 0.940
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.0000 0.994 1.000 0.000
#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.0000 0.994 1.000 0.000
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.0000 0.994 1.000 0.000
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.0000 0.994 1.000 0.000
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.0000 0.994 1.000 0.000
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0000 0.988 0.000 1.000
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.0000 0.994 1.000 0.000
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.0000 0.994 1.000 0.000
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.0000 0.994 1.000 0.000
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.0000 0.994 1.000 0.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 1 0.4815 0.882 0.896 0.104
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.0000 0.994 1.000 0.000
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0000 0.994 1.000 0.000
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.0000 0.994 1.000 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.0000 0.994 1.000 0.000
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0000 0.994 1.000 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 1 0.0000 0.994 1.000 0.000
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.0000 0.994 1.000 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0000 0.988 0.000 1.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.0000 0.988 0.000 1.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.0000 0.994 1.000 0.000
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.0000 0.994 1.000 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0000 0.994 1.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.0000 0.994 1.000 0.000
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0000 0.994 1.000 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.0000 0.988 0.000 1.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.0000 0.994 1.000 0.000
#> DD51C17C-300F-44A4-955A-C9BC85417842 1 0.0000 0.994 1.000 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0000 0.994 1.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.0000 0.994 1.000 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.3584 0.925 0.068 0.932
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 1 0.0000 0.994 1.000 0.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.988 0.000 1.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.988 0.000 1.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.988 0.000 1.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.0000 0.994 1.000 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 1 0.3733 0.920 0.928 0.072
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.0000 0.994 1.000 0.000
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0000 0.994 1.000 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0000 0.994 1.000 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.0000 0.994 1.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.0000 0.994 1.000 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.0000 0.994 1.000 0.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0000 0.994 1.000 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.988 0.000 1.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.0376 0.990 0.996 0.004
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.0000 0.994 1.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.0000 0.994 1.000 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.988 0.000 1.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0376 0.985 0.004 0.996
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.994 1.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.988 0.000 1.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.988 0.000 1.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0000 0.994 1.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0000 0.994 1.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.988 0.000 1.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.988 0.000 1.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.1633 0.971 0.976 0.024
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.994 1.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0000 0.994 1.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.988 0.000 1.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0000 0.994 1.000 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.988 0.000 1.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.994 1.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.994 1.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.994 1.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.0000 0.994 1.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.994 1.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.988 0.000 1.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.994 1.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.994 1.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0000 0.994 1.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0000 0.994 1.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0000 0.994 1.000 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.994 1.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0000 0.994 1.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.0376 0.990 0.996 0.004
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0000 0.994 1.000 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0000 0.994 1.000 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.0000 0.994 1.000 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.994 1.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.988 0.000 1.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.994 1.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.0000 0.994 1.000 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.994 1.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.994 1.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.994 1.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.988 0.000 1.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.0000 0.994 1.000 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 1 0.6343 0.808 0.840 0.160
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.0000 0.994 1.000 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.5842 0.842 0.140 0.860
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.0000 0.994 1.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.0000 0.994 1.000 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.994 1.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.994 1.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.988 0.000 1.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.994 1.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0376 0.985 0.004 0.996
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.994 1.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.0000 0.994 1.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.0000 0.994 1.000 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.0376 0.990 0.996 0.004
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.994 1.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.994 1.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.0000 0.994 1.000 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.0000 0.994 1.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.1414 0.975 0.980 0.020
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.0000 0.994 1.000 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.994 1.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.994 1.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.994 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.988 0.000 1.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.988 0.000 1.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.0000 0.994 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.994 1.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.994 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.994 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.6062 0.7564 0.616 0.000 0.384
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.6079 0.7169 0.388 0.000 0.612
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.2796 0.5064 0.908 0.000 0.092
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.6079 0.7571 0.612 0.000 0.388
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.6079 0.7571 0.612 0.000 0.388
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.1163 0.4694 0.972 0.000 0.028
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.9627 0.2654 0.460 0.312 0.228
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9756 0.000 1.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.6307 -0.6041 0.512 0.000 0.488
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.5968 0.7484 0.636 0.000 0.364
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.6062 0.7563 0.616 0.000 0.384
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.6045 0.7551 0.620 0.000 0.380
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.5180 0.000 0.000 1.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.9756 0.000 1.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.6095 0.7558 0.608 0.000 0.392
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.6079 0.7169 0.388 0.000 0.612
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.6079 0.7169 0.388 0.000 0.612
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.6079 0.7571 0.612 0.000 0.388
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.5099 1.000 0.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.5835 0.7066 0.340 0.000 0.660
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9756 0.000 1.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.6095 0.7558 0.608 0.000 0.392
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0424 0.5175 0.992 0.000 0.008
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.6079 0.7571 0.612 0.000 0.388
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.6079 0.7169 0.388 0.000 0.612
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.6095 0.7558 0.608 0.000 0.392
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.6307 -0.6187 0.488 0.000 0.512
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.6095 0.7558 0.608 0.000 0.392
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9756 0.000 1.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.9756 0.000 1.000 0.000
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#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.0237 0.5077 0.996 0.000 0.004
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.1753 0.5497 0.952 0.000 0.048
#> 9EEECA0E-530D-4724-B016-A716F0782148 1 0.6079 0.7571 0.612 0.000 0.388
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.6095 0.7558 0.608 0.000 0.392
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0000 0.9756 0.000 1.000 0.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.0237 0.9721 0.004 0.996 0.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.6095 0.7558 0.608 0.000 0.392
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.6095 0.7558 0.608 0.000 0.392
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0000 0.5099 1.000 0.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.3619 0.2461 0.864 0.000 0.136
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.6079 0.7571 0.612 0.000 0.388
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.0000 0.9756 0.000 1.000 0.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.6079 0.7571 0.612 0.000 0.388
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.4974 0.6326 0.236 0.000 0.764
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.6079 0.7571 0.612 0.000 0.388
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.0000 0.5099 1.000 0.000 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.2356 0.8866 0.072 0.928 0.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.0892 0.5358 0.020 0.000 0.980
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.9756 0.000 1.000 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.9756 0.000 1.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.9756 0.000 1.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.6079 0.7169 0.388 0.000 0.612
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.1964 0.5438 0.000 0.056 0.944
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.0000 0.5099 1.000 0.000 0.000
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0000 0.5099 1.000 0.000 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0000 0.5099 1.000 0.000 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.0000 0.5180 0.000 0.000 1.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.6302 -0.6085 0.480 0.000 0.520
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.3116 0.5938 0.892 0.000 0.108
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0000 0.5099 1.000 0.000 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.9756 0.000 1.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.6079 0.7571 0.612 0.000 0.388
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.6307 -0.6187 0.488 0.000 0.512
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.5968 0.7455 0.636 0.000 0.364
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.9756 0.000 1.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.9756 0.000 1.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.5099 1.000 0.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.9756 0.000 1.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.9756 0.000 1.000 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.6299 -0.6031 0.476 0.000 0.524
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.6095 0.7558 0.608 0.000 0.392
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.9756 0.000 1.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.9756 0.000 1.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.6062 0.7166 0.384 0.000 0.616
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 3 0.6168 -0.4954 0.412 0.000 0.588
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 3 0.6244 0.6767 0.440 0.000 0.560
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.9756 0.000 1.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.1411 0.5222 0.964 0.000 0.036
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.9756 0.000 1.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.4654 0.0246 0.792 0.000 0.208
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.5099 1.000 0.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.6079 0.7571 0.612 0.000 0.388
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.6079 0.7169 0.388 0.000 0.612
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.5099 1.000 0.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.9756 0.000 1.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.1860 0.5619 0.052 0.000 0.948
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.6079 0.7571 0.612 0.000 0.388
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0237 0.5050 0.996 0.000 0.004
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.6154 0.7419 0.592 0.000 0.408
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.6079 0.7571 0.612 0.000 0.388
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.6079 0.7571 0.612 0.000 0.388
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.6252 0.3449 0.556 0.000 0.444
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.0747 0.5026 0.016 0.000 0.984
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.6079 0.7571 0.612 0.000 0.388
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.6095 0.7558 0.608 0.000 0.392
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.6095 0.7558 0.608 0.000 0.392
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.6095 0.7558 0.608 0.000 0.392
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.9756 0.000 1.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.6079 0.7571 0.612 0.000 0.388
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.3116 0.5944 0.892 0.000 0.108
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.5099 1.000 0.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.6095 0.7558 0.608 0.000 0.392
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.1643 0.5460 0.956 0.000 0.044
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.9756 0.000 1.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.6026 0.7513 0.624 0.000 0.376
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.7348 0.3079 0.176 0.120 0.704
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.6079 0.7571 0.612 0.000 0.388
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.4505 0.8053 0.048 0.860 0.092
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.6095 0.7558 0.608 0.000 0.392
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.6095 0.7147 0.392 0.000 0.608
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.5099 1.000 0.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.4504 0.0627 0.804 0.000 0.196
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.9756 0.000 1.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.6079 0.7571 0.612 0.000 0.388
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.2356 0.9007 0.072 0.928 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.6079 0.7571 0.612 0.000 0.388
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.6079 -0.4530 0.612 0.000 0.388
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.6095 0.7558 0.608 0.000 0.392
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.6079 0.7571 0.612 0.000 0.388
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.6079 0.7571 0.612 0.000 0.388
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.6079 0.7571 0.612 0.000 0.388
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.6079 0.7571 0.612 0.000 0.388
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.5180 0.000 0.000 1.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.6079 0.7169 0.388 0.000 0.612
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.6095 0.7558 0.608 0.000 0.392
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.5254 0.6877 0.736 0.000 0.264
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.6079 0.7571 0.612 0.000 0.388
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.4887 -0.0443 0.772 0.000 0.228
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9756 0.000 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9756 0.000 1.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.2261 0.5753 0.068 0.000 0.932
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.6095 0.7558 0.608 0.000 0.392
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.5254 0.6915 0.736 0.000 0.264
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.6079 0.7571 0.612 0.000 0.388
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.0672 0.86026 0.984 0.000 0.008 0.008
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.84492 0.000 0.000 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 4 0.5646 0.18153 0.088 0.000 0.204 0.708
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0817 0.86336 0.976 0.000 0.000 0.024
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0817 0.86336 0.976 0.000 0.000 0.024
#> 03E81178-E971-4E91-8BED-D8273EA1425C 4 0.5174 0.63505 0.368 0.000 0.012 0.620
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.4978 0.26402 0.384 0.004 0.612 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 4 0.5125 0.31776 0.008 0.000 0.388 0.604
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.1118 0.83967 0.964 0.000 0.000 0.036
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0469 0.86602 0.988 0.000 0.000 0.012
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0469 0.86150 0.988 0.000 0.000 0.012
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.84492 0.000 0.000 1.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.4790 0.43244 0.620 0.000 0.000 0.380
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.84492 0.000 0.000 1.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.1211 0.82241 0.000 0.000 0.960 0.040
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.86726 1.000 0.000 0.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 4 0.0000 0.50147 0.000 0.000 0.000 1.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.1022 0.82762 0.000 0.000 0.968 0.032
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0817 0.86336 0.976 0.000 0.000 0.024
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 4 0.4916 0.59325 0.424 0.000 0.000 0.576
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.86726 1.000 0.000 0.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.84492 0.000 0.000 1.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.4866 0.42312 0.596 0.000 0.000 0.404
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.4804 0.26639 0.384 0.000 0.616 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0779 0.86501 0.980 0.000 0.004 0.016
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.1118 0.85618 0.964 0.000 0.000 0.036
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 4 0.5028 0.62390 0.400 0.000 0.004 0.596
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0817 0.86336 0.976 0.000 0.000 0.024
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.1004 0.86100 0.972 0.000 0.004 0.024
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.0707 0.86458 0.980 0.000 0.000 0.020
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 4 0.4406 0.64987 0.300 0.000 0.000 0.700
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0707 0.86458 0.980 0.000 0.000 0.020
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 4 0.4790 0.60775 0.380 0.000 0.000 0.620
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0000 0.84492 0.000 0.000 1.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0000 0.84492 0.000 0.000 1.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.86726 1.000 0.000 0.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.2921 0.71673 0.000 0.000 0.860 0.140
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 4 0.4790 0.62820 0.380 0.000 0.000 0.620
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0817 0.86336 0.976 0.000 0.000 0.024
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0469 0.83981 0.000 0.000 0.988 0.012
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0188 0.95832 0.000 0.996 0.004 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.86726 1.000 0.000 0.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.4713 0.57940 0.000 0.640 0.000 0.360
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.1211 0.81727 0.040 0.000 0.960 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.0000 0.86726 1.000 0.000 0.000 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0000 0.86726 1.000 0.000 0.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.0000 0.84492 0.000 0.000 1.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0000 0.84492 0.000 0.000 1.000 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 4 0.4866 0.62159 0.404 0.000 0.000 0.596
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0336 0.86707 0.992 0.000 0.000 0.008
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 4 0.4950 0.63082 0.376 0.000 0.004 0.620
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.0000 0.86726 1.000 0.000 0.000 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 4 0.4866 0.62159 0.404 0.000 0.000 0.596
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#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.0000 0.84492 0.000 0.000 1.000 0.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 4 0.5050 0.61637 0.408 0.000 0.004 0.588
#> B55743F2-4D63-4375-85D3-F58281CFD852 4 0.4790 0.62820 0.380 0.000 0.000 0.620
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 4 0.4790 0.62820 0.380 0.000 0.000 0.620
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.0000 0.84492 0.000 0.000 1.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.4817 0.26168 0.388 0.000 0.612 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.4888 -0.10408 0.588 0.000 0.000 0.412
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 4 0.4830 0.62637 0.392 0.000 0.000 0.608
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.0336 0.86683 0.992 0.000 0.000 0.008
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.4804 0.26639 0.384 0.000 0.616 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.4925 0.38562 0.572 0.000 0.000 0.428
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0469 0.95319 0.000 0.988 0.012 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 4 0.0000 0.50147 0.000 0.000 0.000 1.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0336 0.95464 0.000 0.992 0.000 0.008
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.4989 0.09957 0.472 0.000 0.528 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0817 0.86336 0.976 0.000 0.000 0.024
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.0000 0.84492 0.000 0.000 1.000 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.3015 0.77278 0.884 0.000 0.092 0.024
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 4 0.5244 0.31647 0.012 0.000 0.388 0.600
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 4 0.5105 0.55675 0.432 0.000 0.004 0.564
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 4 0.6635 0.60916 0.228 0.000 0.152 0.620
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 4 0.0000 0.50147 0.000 0.000 0.000 1.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.86726 1.000 0.000 0.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 4 0.4866 0.29396 0.000 0.000 0.404 0.596
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 4 0.4866 0.62159 0.404 0.000 0.000 0.596
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.2300 0.79717 0.048 0.000 0.924 0.028
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.1022 0.86016 0.968 0.000 0.000 0.032
#> D365A238-4739-4B54-9608-DC548F21C04E 4 0.3907 0.64679 0.232 0.000 0.000 0.768
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.2125 0.80802 0.920 0.000 0.076 0.004
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0000 0.86726 1.000 0.000 0.000 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0817 0.86336 0.976 0.000 0.000 0.024
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 4 0.6599 -0.05398 0.432 0.000 0.080 0.488
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.1716 0.79608 0.064 0.000 0.936 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0000 0.86726 1.000 0.000 0.000 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0707 0.86458 0.980 0.000 0.000 0.020
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.4855 0.42563 0.600 0.000 0.000 0.400
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.1716 0.83510 0.936 0.000 0.000 0.064
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.86726 1.000 0.000 0.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.4713 0.05242 0.640 0.000 0.000 0.360
#> 9AF0E82E-E621-437A-8D19-700532B95090 4 0.4193 0.65308 0.268 0.000 0.000 0.732
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0707 0.86116 0.980 0.000 0.020 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 4 0.4996 0.44214 0.484 0.000 0.000 0.516
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.1042 0.85094 0.972 0.000 0.008 0.020
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.6903 0.37919 0.112 0.000 0.508 0.380
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.0000 0.86726 1.000 0.000 0.000 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.3542 0.79495 0.120 0.852 0.000 0.028
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.4855 0.46586 0.644 0.000 0.004 0.352
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 4 0.5435 0.25774 0.016 0.000 0.420 0.564
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 4 0.4855 0.62359 0.400 0.000 0.000 0.600
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 4 0.0000 0.50147 0.000 0.000 0.000 1.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.86726 1.000 0.000 0.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.3241 0.86362 0.004 0.884 0.040 0.072
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.86726 1.000 0.000 0.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 4 0.1820 0.47714 0.020 0.000 0.036 0.944
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.1118 0.84856 0.964 0.000 0.036 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.0000 0.86726 1.000 0.000 0.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.86726 1.000 0.000 0.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.4866 0.42312 0.596 0.000 0.000 0.404
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.0000 0.86726 1.000 0.000 0.000 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.84492 0.000 0.000 1.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.4761 0.28975 0.000 0.000 0.628 0.372
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.2760 0.74812 0.872 0.000 0.000 0.128
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.2973 0.67947 0.856 0.000 0.000 0.144
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.86726 1.000 0.000 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 4 0.0000 0.50147 0.000 0.000 0.000 1.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.96093 0.000 1.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.84492 0.000 0.000 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0469 0.86642 0.988 0.000 0.000 0.012
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 4 0.4898 -0.05552 0.416 0.000 0.000 0.584
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0188 0.86687 0.996 0.000 0.000 0.004
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.2612 0.6640 0.868 0.000 0.000 0.124 0.008
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.8876 0.000 0.000 1.000 0.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 5 0.7875 0.2172 0.088 0.000 0.204 0.308 0.400
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.3999 0.6132 0.656 0.000 0.000 0.000 0.344
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.3999 0.6132 0.656 0.000 0.000 0.000 0.344
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.1768 0.7118 0.072 0.000 0.004 0.000 0.924
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.4276 0.4013 0.380 0.000 0.616 0.004 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.1544 0.7349 0.000 0.932 0.000 0.068 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.4846 0.3918 0.000 0.000 0.384 0.028 0.588
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.1750 0.7069 0.936 0.000 0.000 0.036 0.028
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.3876 0.6254 0.684 0.000 0.000 0.000 0.316
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.1251 0.7187 0.956 0.000 0.000 0.036 0.008
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.8876 0.000 0.000 1.000 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.4268 -0.0555 0.000 0.556 0.000 0.444 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.5325 0.5606 0.616 0.000 0.000 0.308 0.076
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.8876 0.000 0.000 1.000 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0510 0.8804 0.000 0.000 0.984 0.000 0.016
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0963 0.7275 0.964 0.000 0.000 0.000 0.036
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.1341 0.6906 0.000 0.000 0.000 0.056 0.944
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0510 0.8804 0.000 0.000 0.984 0.000 0.016
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.7842 0.000 1.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.3999 0.6132 0.656 0.000 0.000 0.000 0.344
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 5 0.5092 0.4053 0.440 0.000 0.000 0.036 0.524
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.7268 1.000 0.000 0.000 0.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.8876 0.000 0.000 1.000 0.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.6009 0.5640 0.580 0.000 0.000 0.240 0.180
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.3999 0.4592 0.344 0.000 0.656 0.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.4717 0.5377 0.660 0.000 0.308 0.004 0.028
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.7842 0.000 1.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.7842 0.000 1.000 0.000 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.4045 0.6034 0.644 0.000 0.000 0.000 0.356
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.5983 0.5551 0.252 0.000 0.168 0.000 0.580
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.3999 0.6132 0.656 0.000 0.000 0.000 0.344
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.3983 0.6130 0.660 0.000 0.000 0.000 0.340
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.7842 0.000 1.000 0.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.3983 0.6158 0.660 0.000 0.000 0.000 0.340
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.2376 0.7163 0.044 0.000 0.000 0.052 0.904
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.7842 0.000 1.000 0.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.3983 0.6158 0.660 0.000 0.000 0.000 0.340
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 5 0.2020 0.6910 0.100 0.000 0.000 0.000 0.900
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.4294 -0.1405 0.000 0.532 0.000 0.468 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0000 0.8876 0.000 0.000 1.000 0.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0000 0.8876 0.000 0.000 1.000 0.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0963 0.7220 0.964 0.000 0.000 0.036 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.2230 0.7717 0.000 0.000 0.884 0.000 0.116
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 5 0.1831 0.7114 0.076 0.000 0.000 0.004 0.920
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.3999 0.6132 0.656 0.000 0.000 0.000 0.344
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.7842 0.000 1.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0404 0.8830 0.000 0.000 0.988 0.000 0.012
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.3999 0.6077 0.000 0.344 0.000 0.656 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0963 0.7220 0.964 0.000 0.000 0.036 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.4549 0.1377 0.000 0.528 0.000 0.464 0.008
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0510 0.8782 0.016 0.000 0.984 0.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.0000 0.7268 1.000 0.000 0.000 0.000 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0000 0.7268 1.000 0.000 0.000 0.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.0000 0.8876 0.000 0.000 1.000 0.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0162 0.8858 0.000 0.000 0.996 0.004 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 5 0.4227 0.4804 0.420 0.000 0.000 0.000 0.580
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.7842 0.000 1.000 0.000 0.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.1469 0.7243 0.948 0.000 0.000 0.036 0.016
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.1671 0.7099 0.076 0.000 0.000 0.000 0.924
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.0963 0.7220 0.964 0.000 0.000 0.036 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 5 0.4227 0.4804 0.420 0.000 0.000 0.000 0.580
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.7268 1.000 0.000 0.000 0.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.7842 0.000 1.000 0.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.5308 0.4518 0.000 0.000 0.620 0.304 0.076
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0963 0.7220 0.964 0.000 0.000 0.036 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 5 0.4192 0.3834 0.000 0.000 0.404 0.000 0.596
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0000 0.8876 0.000 0.000 1.000 0.000 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.4297 -0.1560 0.000 0.528 0.000 0.472 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 5 0.0000 0.7030 0.000 0.000 0.000 0.000 1.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 5 0.1671 0.6976 0.000 0.000 0.076 0.000 0.924
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 5 0.4227 0.3536 0.000 0.000 0.420 0.000 0.580
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#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 5 0.7060 0.5618 0.120 0.000 0.200 0.108 0.572
#> B55743F2-4D63-4375-85D3-F58281CFD852 5 0.1671 0.7099 0.076 0.000 0.000 0.000 0.924
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 5 0.1671 0.7099 0.076 0.000 0.000 0.000 0.924
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.0000 0.8876 0.000 0.000 1.000 0.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.4138 0.4004 0.384 0.000 0.616 0.000 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 5 0.3661 0.3909 0.276 0.000 0.000 0.000 0.724
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 5 0.1908 0.7096 0.092 0.000 0.000 0.000 0.908
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.7842 0.000 1.000 0.000 0.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.4677 0.6346 0.664 0.000 0.000 0.036 0.300
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.1732 0.8001 0.080 0.000 0.920 0.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.5932 0.5295 0.560 0.000 0.000 0.308 0.132
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 4 0.4135 0.6093 0.004 0.340 0.000 0.656 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.7842 0.000 1.000 0.000 0.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 5 0.0000 0.7030 0.000 0.000 0.000 0.000 1.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.4219 0.0565 0.000 0.584 0.000 0.416 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.3837 0.3308 0.000 0.692 0.000 0.000 0.308
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.2605 0.7306 0.148 0.000 0.852 0.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.3999 0.6132 0.656 0.000 0.000 0.000 0.344
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.3796 0.3863 0.000 0.700 0.000 0.300 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.7842 0.000 1.000 0.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.0000 0.8876 0.000 0.000 1.000 0.000 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.4794 0.5915 0.624 0.000 0.032 0.000 0.344
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 5 0.4686 0.4079 0.020 0.000 0.384 0.000 0.596
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.2561 0.6425 0.000 0.856 0.000 0.144 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 5 0.3060 0.6810 0.128 0.000 0.024 0.000 0.848
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.4291 -0.1247 0.000 0.536 0.000 0.464 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 5 0.1965 0.7113 0.024 0.000 0.052 0.000 0.924
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 5 0.3684 0.5514 0.000 0.000 0.000 0.280 0.720
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.3039 0.6830 0.808 0.000 0.000 0.192 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 5 0.4227 0.3536 0.000 0.000 0.420 0.000 0.580
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 5 0.3039 0.6761 0.192 0.000 0.000 0.000 0.808
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0404 0.7773 0.000 0.988 0.000 0.012 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.1818 0.8388 0.024 0.000 0.932 0.000 0.044
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.4642 0.6126 0.660 0.000 0.000 0.308 0.032
#> D365A238-4739-4B54-9608-DC548F21C04E 5 0.0703 0.7129 0.024 0.000 0.000 0.000 0.976
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.5811 0.5197 0.604 0.000 0.272 0.120 0.004
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0963 0.7220 0.964 0.000 0.000 0.036 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.3999 0.6132 0.656 0.000 0.000 0.000 0.344
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.7752 0.2807 0.440 0.000 0.080 0.228 0.252
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.1121 0.8556 0.044 0.000 0.956 0.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0963 0.7220 0.964 0.000 0.000 0.036 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.3983 0.6158 0.660 0.000 0.000 0.000 0.340
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.5699 0.5484 0.584 0.000 0.000 0.308 0.108
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.4060 0.6054 0.640 0.000 0.000 0.000 0.360
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.2516 0.6598 0.000 0.860 0.000 0.140 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0963 0.7220 0.964 0.000 0.000 0.036 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.4836 0.1279 0.628 0.000 0.000 0.036 0.336
#> 9AF0E82E-E621-437A-8D19-700532B95090 5 0.0794 0.7141 0.028 0.000 0.000 0.000 0.972
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.4843 0.6199 0.660 0.000 0.048 0.000 0.292
#> EFE5A302-D138-4044-A301-5C5FD1C24836 5 0.2929 0.6064 0.180 0.000 0.000 0.000 0.820
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.7842 0.000 1.000 0.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.1485 0.7145 0.948 0.000 0.000 0.032 0.020
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.7243 0.2572 0.112 0.000 0.460 0.352 0.076
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.0162 0.7266 0.996 0.000 0.000 0.004 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.4443 0.4303 0.028 0.744 0.000 0.016 0.212
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.5272 0.5645 0.620 0.000 0.000 0.308 0.072
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 5 0.5816 0.3154 0.036 0.000 0.416 0.032 0.516
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 5 0.5059 0.4460 0.416 0.000 0.000 0.036 0.548
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 5 0.0000 0.7030 0.000 0.000 0.000 0.000 1.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 4 0.4256 0.4170 0.000 0.436 0.000 0.564 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.7268 1.000 0.000 0.000 0.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.3837 0.4747 0.308 0.000 0.000 0.692 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0963 0.7220 0.964 0.000 0.000 0.036 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 5 0.5183 0.5052 0.036 0.000 0.016 0.308 0.640
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.0880 0.7228 0.968 0.000 0.032 0.000 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.0963 0.7220 0.964 0.000 0.000 0.036 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0510 0.7255 0.984 0.000 0.000 0.016 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.5740 0.5464 0.580 0.000 0.000 0.308 0.112
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.0880 0.7230 0.968 0.000 0.000 0.032 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.8876 0.000 0.000 1.000 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 5 0.4278 0.2125 0.000 0.000 0.452 0.000 0.548
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.4565 0.6025 0.664 0.000 0.000 0.308 0.028
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.6958 0.4172 0.572 0.000 0.216 0.080 0.132
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0963 0.7220 0.964 0.000 0.000 0.036 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.3837 0.5266 0.000 0.000 0.000 0.308 0.692
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.7842 0.000 1.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.1478 0.7392 0.000 0.936 0.000 0.064 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.8876 0.000 0.000 1.000 0.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0510 0.7272 0.984 0.000 0.000 0.000 0.016
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.5861 -0.2424 0.400 0.000 0.000 0.100 0.500
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.2325 0.7226 0.904 0.000 0.000 0.028 0.068
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.1226 0.7632 0.952 0.000 0.000 0.040 0.004 0.004
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.9242 0.000 0.000 1.000 0.000 0.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 5 0.6994 0.1822 0.004 0.000 0.200 0.116 0.496 0.184
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 6 0.1610 0.6846 0.084 0.000 0.000 0.000 0.000 0.916
#> 78F79407-D49F-4FA2-B09F-0665C502827C 6 0.1610 0.6845 0.084 0.000 0.000 0.000 0.000 0.916
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.3847 0.5264 0.000 0.000 0.000 0.000 0.544 0.456
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.2912 0.6720 0.216 0.000 0.784 0.000 0.000 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.3118 0.7217 0.072 0.836 0.000 0.092 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.2823 0.6372 0.000 0.000 0.204 0.000 0.796 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0146 0.7776 0.996 0.000 0.000 0.000 0.000 0.004
#> B710293C-41D3-4A2E-8104-5402F91DD859 6 0.3582 0.5092 0.252 0.000 0.000 0.000 0.016 0.732
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0363 0.7769 0.988 0.000 0.000 0.000 0.000 0.012
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.9242 0.000 0.000 1.000 0.000 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.3851 0.3785 0.000 0.460 0.000 0.540 0.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 6 0.7260 0.3012 0.240 0.000 0.000 0.132 0.208 0.420
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.9242 0.000 0.000 1.000 0.000 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0000 0.9242 0.000 0.000 1.000 0.000 0.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.3867 0.0994 0.512 0.000 0.000 0.000 0.000 0.488
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.2697 0.7013 0.000 0.000 0.000 0.000 0.812 0.188
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0000 0.9242 0.000 0.000 1.000 0.000 0.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.8870 0.000 1.000 0.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 6 0.1556 0.6833 0.080 0.000 0.000 0.000 0.000 0.920
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.2201 0.7217 0.900 0.000 0.000 0.000 0.052 0.048
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.3854 0.1699 0.536 0.000 0.000 0.000 0.000 0.464
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.9242 0.000 0.000 1.000 0.000 0.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 6 0.4336 0.5444 0.000 0.000 0.000 0.116 0.160 0.724
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.2946 0.7136 0.176 0.000 0.812 0.000 0.000 0.012
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 6 0.6909 0.4242 0.116 0.000 0.224 0.000 0.172 0.488
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.8870 0.000 1.000 0.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0146 0.8845 0.000 0.996 0.000 0.004 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 6 0.1983 0.6687 0.072 0.000 0.000 0.000 0.020 0.908
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.3655 0.6516 0.112 0.000 0.096 0.000 0.792 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 6 0.1814 0.6791 0.100 0.000 0.000 0.000 0.000 0.900
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 6 0.4001 0.6107 0.128 0.000 0.000 0.000 0.112 0.760
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0146 0.8844 0.004 0.996 0.000 0.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 6 0.2048 0.6799 0.120 0.000 0.000 0.000 0.000 0.880
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.3052 0.6999 0.004 0.000 0.000 0.000 0.780 0.216
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.8870 0.000 1.000 0.000 0.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 6 0.2003 0.6785 0.116 0.000 0.000 0.000 0.000 0.884
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 6 0.4097 -0.4658 0.008 0.000 0.000 0.000 0.492 0.500
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 4 0.3409 0.6533 0.000 0.300 0.000 0.700 0.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0000 0.9242 0.000 0.000 1.000 0.000 0.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0000 0.9242 0.000 0.000 1.000 0.000 0.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0146 0.7776 0.996 0.000 0.000 0.000 0.000 0.004
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.2092 0.8040 0.000 0.000 0.876 0.000 0.124 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 5 0.3161 0.6991 0.008 0.000 0.000 0.000 0.776 0.216
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 6 0.2003 0.6785 0.116 0.000 0.000 0.000 0.000 0.884
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.8870 0.000 1.000 0.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0458 0.9148 0.000 0.000 0.984 0.000 0.016 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.2178 0.7515 0.000 0.132 0.000 0.868 0.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0603 0.7754 0.980 0.000 0.000 0.000 0.016 0.004
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.4297 0.5064 0.004 0.680 0.000 0.284 0.024 0.008
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0000 0.9242 0.000 0.000 1.000 0.000 0.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.3854 0.1699 0.536 0.000 0.000 0.000 0.000 0.464
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.3838 0.2062 0.552 0.000 0.000 0.000 0.000 0.448
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.0000 0.9242 0.000 0.000 1.000 0.000 0.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.3726 0.7452 0.000 0.000 0.792 0.124 0.004 0.080
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 5 0.2883 0.5971 0.212 0.000 0.000 0.000 0.788 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.8870 0.000 1.000 0.000 0.000 0.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.2092 0.7114 0.876 0.000 0.000 0.000 0.000 0.124
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.3828 0.5373 0.000 0.000 0.000 0.000 0.560 0.440
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.0603 0.7754 0.980 0.000 0.000 0.000 0.016 0.004
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 5 0.2994 0.5980 0.208 0.000 0.000 0.000 0.788 0.004
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.3854 0.1699 0.536 0.000 0.000 0.000 0.000 0.464
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.8870 0.000 1.000 0.000 0.000 0.000 0.000
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#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 6 0.7220 0.3035 0.228 0.000 0.000 0.132 0.208 0.432
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.4401 0.1276 0.512 0.000 0.000 0.000 0.024 0.464
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 5 0.2883 0.6993 0.000 0.000 0.000 0.000 0.788 0.212
#> C86EBD08-53F2-4972-801A-74970FDD6A62 5 0.3667 0.4769 0.000 0.000 0.000 0.132 0.788 0.080
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 6 0.1556 0.6833 0.080 0.000 0.000 0.000 0.000 0.920
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.3053 0.7673 0.004 0.852 0.036 0.100 0.008 0.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.5676 0.4382 0.648 0.000 0.000 0.096 0.172 0.084
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.0260 0.9206 0.008 0.000 0.992 0.000 0.000 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 6 0.1556 0.6833 0.080 0.000 0.000 0.000 0.000 0.920
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 5 0.2854 0.6996 0.000 0.000 0.000 0.000 0.792 0.208
#> B2088466-FA5D-491C-9982-99B33683E66F 4 0.4057 0.4247 0.000 0.436 0.000 0.556 0.000 0.008
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.1152 0.8939 0.000 0.000 0.952 0.044 0.000 0.004
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.1806 0.8047 0.004 0.908 0.000 0.088 0.000 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.8870 0.000 1.000 0.000 0.000 0.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.8870 0.000 1.000 0.000 0.000 0.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.0146 0.9222 0.000 0.000 0.996 0.000 0.004 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.0146 0.9226 0.004 0.000 0.996 0.000 0.000 0.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 5 0.2766 0.6636 0.008 0.000 0.140 0.000 0.844 0.008
#> B55743F2-4D63-4375-85D3-F58281CFD852 5 0.3847 0.5264 0.000 0.000 0.000 0.000 0.544 0.456
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 5 0.3847 0.5264 0.000 0.000 0.000 0.000 0.544 0.456
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.0000 0.9242 0.000 0.000 1.000 0.000 0.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.3141 0.6792 0.200 0.000 0.788 0.000 0.000 0.012
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 6 0.3797 -0.2933 0.000 0.000 0.000 0.000 0.420 0.580
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 5 0.2854 0.6996 0.000 0.000 0.000 0.000 0.792 0.208
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.8870 0.000 1.000 0.000 0.000 0.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.3371 0.4345 0.708 0.000 0.000 0.000 0.000 0.292
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.0520 0.9156 0.008 0.000 0.984 0.000 0.000 0.008
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 6 0.6174 0.3441 0.032 0.000 0.000 0.132 0.404 0.432
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 4 0.2178 0.7515 0.000 0.132 0.000 0.868 0.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.8870 0.000 1.000 0.000 0.000 0.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 5 0.3151 0.6901 0.000 0.000 0.000 0.000 0.748 0.252
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 4 0.3789 0.4805 0.000 0.416 0.000 0.584 0.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.1141 0.8272 0.000 0.948 0.000 0.000 0.000 0.052
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.3247 0.7210 0.036 0.000 0.808 0.000 0.000 0.156
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 6 0.1700 0.6835 0.080 0.000 0.000 0.000 0.004 0.916
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.3890 0.0766 0.004 0.596 0.000 0.400 0.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.8870 0.000 1.000 0.000 0.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.0146 0.9226 0.004 0.000 0.996 0.000 0.000 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 6 0.1700 0.6817 0.080 0.000 0.004 0.000 0.000 0.916
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 5 0.3052 0.6317 0.000 0.000 0.216 0.000 0.780 0.004
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.2912 0.5946 0.000 0.784 0.000 0.216 0.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 5 0.4749 0.5392 0.048 0.000 0.008 0.000 0.612 0.332
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 4 0.3789 0.4704 0.000 0.416 0.000 0.584 0.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 5 0.3847 0.5264 0.000 0.000 0.000 0.000 0.544 0.456
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 5 0.2941 0.5587 0.000 0.000 0.000 0.000 0.780 0.220
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 6 0.5796 0.1341 0.404 0.000 0.000 0.016 0.116 0.464
#> 54504893-92C5-4328-85A8-2A882680B5E0 5 0.2969 0.6267 0.000 0.000 0.224 0.000 0.776 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 5 0.3679 0.6961 0.052 0.000 0.000 0.000 0.772 0.176
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0363 0.8786 0.000 0.988 0.000 0.012 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.3163 0.6416 0.004 0.000 0.764 0.000 0.000 0.232
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 6 0.5172 0.5935 0.116 0.000 0.000 0.020 0.204 0.660
#> D365A238-4739-4B54-9608-DC548F21C04E 5 0.2969 0.6976 0.000 0.000 0.000 0.000 0.776 0.224
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 6 0.6752 0.4291 0.112 0.000 0.308 0.020 0.064 0.496
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0146 0.7776 0.996 0.000 0.000 0.000 0.000 0.004
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 6 0.1765 0.6858 0.096 0.000 0.000 0.000 0.000 0.904
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 6 0.6965 0.3444 0.024 0.000 0.060 0.132 0.324 0.460
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.1075 0.8843 0.048 0.000 0.952 0.000 0.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0713 0.7718 0.972 0.000 0.000 0.000 0.000 0.028
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 6 0.2003 0.6785 0.116 0.000 0.000 0.000 0.000 0.884
#> CCDB0290-91DA-4089-84A6-4434BA028D30 6 0.5584 0.5243 0.032 0.000 0.000 0.132 0.212 0.624
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 6 0.1219 0.6678 0.048 0.000 0.000 0.004 0.000 0.948
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.2562 0.6858 0.000 0.828 0.000 0.172 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.1501 0.7451 0.924 0.000 0.000 0.000 0.000 0.076
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.0865 0.7667 0.964 0.000 0.000 0.000 0.036 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 5 0.2912 0.6990 0.000 0.000 0.000 0.000 0.784 0.216
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 6 0.4232 0.5999 0.116 0.000 0.148 0.000 0.000 0.736
#> EFE5A302-D138-4044-A301-5C5FD1C24836 5 0.5136 0.3190 0.084 0.000 0.000 0.000 0.496 0.420
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.8870 0.000 1.000 0.000 0.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.4641 0.5373 0.684 0.000 0.000 0.000 0.116 0.200
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.7492 0.2488 0.004 0.000 0.412 0.192 0.208 0.184
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.3782 0.2802 0.588 0.000 0.000 0.000 0.000 0.412
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.4498 0.3518 0.000 0.640 0.000 0.024 0.016 0.320
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 6 0.7210 0.3184 0.220 0.000 0.000 0.128 0.220 0.432
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 5 0.6856 0.3348 0.256 0.000 0.228 0.068 0.448 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.2398 0.6913 0.876 0.000 0.000 0.000 0.104 0.020
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 5 0.3499 0.6513 0.000 0.000 0.000 0.000 0.680 0.320
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 4 0.3464 0.6291 0.000 0.312 0.000 0.688 0.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.3854 0.1699 0.536 0.000 0.000 0.000 0.000 0.464
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.3221 0.5672 0.264 0.000 0.000 0.736 0.000 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0146 0.7776 0.996 0.000 0.000 0.000 0.000 0.004
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 5 0.4104 0.4666 0.016 0.000 0.000 0.132 0.772 0.080
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.5745 -0.0265 0.416 0.000 0.168 0.000 0.000 0.416
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.0547 0.7747 0.980 0.000 0.000 0.000 0.000 0.020
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.3695 0.3463 0.624 0.000 0.000 0.000 0.000 0.376
#> 6752EED9-7990-433F-A206-D5398C396471 6 0.5492 0.5253 0.028 0.000 0.000 0.132 0.208 0.632
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.2562 0.6631 0.828 0.000 0.000 0.000 0.000 0.172
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.9242 0.000 0.000 1.000 0.000 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 5 0.5580 0.5042 0.000 0.000 0.324 0.000 0.516 0.160
#> 1ABBEF80-508F-4247-B43D-3E549372113B 6 0.6770 0.3093 0.292 0.000 0.000 0.060 0.204 0.444
#> 835AAE7F-F873-4D11-8845-232D261A38DF 6 0.7454 0.4114 0.144 0.000 0.160 0.020 0.212 0.464
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0146 0.7776 0.996 0.000 0.000 0.000 0.000 0.004
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.5328 0.2622 0.000 0.000 0.000 0.132 0.560 0.308
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.8870 0.000 1.000 0.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.1556 0.8149 0.000 0.920 0.000 0.080 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.9242 0.000 0.000 1.000 0.000 0.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 6 0.3828 0.1256 0.440 0.000 0.000 0.000 0.000 0.560
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 6 0.4707 0.3162 0.000 0.000 0.000 0.112 0.216 0.672
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.2730 0.6606 0.808 0.000 0.000 0.000 0.000 0.192
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 17469 rows and 309 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 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 0.975 0.991 0.3825 0.625 0.625
#> 3 3 0.817 0.858 0.942 0.6543 0.736 0.580
#> 4 4 0.671 0.700 0.792 0.1343 0.851 0.614
#> 5 5 0.628 0.650 0.751 0.0370 0.907 0.678
#> 6 6 0.609 0.495 0.702 0.0492 0.951 0.807
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.6887 0.7711 0.816 0.184
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.0000 0.9890 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.0000 0.9890 1.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.9890 1.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.9890 1.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.9890 1.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 2 0.6048 0.8233 0.148 0.852
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9944 0.000 1.000
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#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.0672 0.9813 0.992 0.008
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.0000 0.9890 1.000 0.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 1 0.9977 0.1153 0.528 0.472
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.0000 0.9890 1.000 0.000
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0000 0.9890 1.000 0.000
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.0000 0.9890 1.000 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.0000 0.9890 1.000 0.000
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0000 0.9890 1.000 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 1 0.0000 0.9890 1.000 0.000
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.0000 0.9890 1.000 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0000 0.9944 0.000 1.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.0000 0.9944 0.000 1.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.0000 0.9890 1.000 0.000
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.0000 0.9890 1.000 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0000 0.9890 1.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.0000 0.9890 1.000 0.000
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0000 0.9890 1.000 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.0000 0.9944 0.000 1.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.0000 0.9890 1.000 0.000
#> DD51C17C-300F-44A4-955A-C9BC85417842 1 0.0000 0.9890 1.000 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0000 0.9890 1.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.0000 0.9890 1.000 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.0000 0.9944 0.000 1.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 1 0.0000 0.9890 1.000 0.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.9944 0.000 1.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.9944 0.000 1.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.9944 0.000 1.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.0000 0.9890 1.000 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 1 0.0938 0.9774 0.988 0.012
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.0000 0.9890 1.000 0.000
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0000 0.9890 1.000 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0000 0.9890 1.000 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.0000 0.9890 1.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.0000 0.9890 1.000 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.0000 0.9890 1.000 0.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0000 0.9890 1.000 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.9944 0.000 1.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.0000 0.9890 1.000 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.0000 0.9890 1.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.0000 0.9890 1.000 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.9944 0.000 1.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.9944 0.000 1.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.9890 1.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.9944 0.000 1.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0672 0.9866 0.008 0.992
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0000 0.9890 1.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0000 0.9890 1.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.9944 0.000 1.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.9944 0.000 1.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.7376 0.7348 0.792 0.208
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.9890 1.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0000 0.9890 1.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.9944 0.000 1.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0000 0.9890 1.000 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.9944 0.000 1.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.9890 1.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.9890 1.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.9890 1.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.0000 0.9890 1.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.9890 1.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.9944 0.000 1.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.9890 1.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.9890 1.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0000 0.9890 1.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0000 0.9890 1.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0000 0.9890 1.000 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.9890 1.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0000 0.9890 1.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.0000 0.9890 1.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0000 0.9890 1.000 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0000 0.9890 1.000 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.0000 0.9890 1.000 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.9890 1.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.9944 0.000 1.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.9890 1.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.0000 0.9890 1.000 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.9890 1.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.9890 1.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.9890 1.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.9944 0.000 1.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.0000 0.9890 1.000 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 1 0.9996 0.0563 0.512 0.488
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.0000 0.9890 1.000 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 1 0.9988 0.0870 0.520 0.480
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.0000 0.9890 1.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.0000 0.9890 1.000 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.9890 1.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.9890 1.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.9944 0.000 1.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.9890 1.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.9944 0.000 1.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.9890 1.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.0000 0.9890 1.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.0000 0.9890 1.000 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.9850 0.2583 0.572 0.428
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.9890 1.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.9890 1.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.0000 0.9890 1.000 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.0000 0.9890 1.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.0000 0.9890 1.000 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.0000 0.9890 1.000 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.9890 1.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.9890 1.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.9890 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9944 0.000 1.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9944 0.000 1.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.0000 0.9890 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.9890 1.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.9890 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.9890 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.0000 0.8904 0.000 0.000 1.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.8904 0.000 0.000 1.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.0000 0.8904 0.000 0.000 1.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.9344 1.000 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.9344 1.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.9344 1.000 0.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.6235 0.1712 0.000 0.436 0.564
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9736 0.000 1.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.0424 0.8882 0.008 0.000 0.992
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.9344 1.000 0.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.9344 1.000 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.9344 1.000 0.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.1031 0.8810 0.024 0.000 0.976
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.9736 0.000 1.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.5254 0.6546 0.264 0.000 0.736
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.1529 0.8719 0.040 0.000 0.960
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.1964 0.8940 0.944 0.000 0.056
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.9344 1.000 0.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.9344 1.000 0.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.4931 0.6901 0.232 0.000 0.768
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9736 0.000 1.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.9344 1.000 0.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.9344 1.000 0.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.9344 1.000 0.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.8904 0.000 0.000 1.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0000 0.9344 1.000 0.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0000 0.8904 0.000 0.000 1.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0000 0.9344 1.000 0.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9736 0.000 1.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.9736 0.000 1.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.2625 0.8659 0.916 0.000 0.084
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.6126 0.3289 0.600 0.000 0.400
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.9344 1.000 0.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.9344 1.000 0.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0592 0.9640 0.000 0.988 0.012
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.0000 0.8904 0.000 0.000 1.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 3 0.0000 0.8904 0.000 0.000 1.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.9736 0.000 1.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.9344 1.000 0.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.9344 1.000 0.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.9736 0.000 1.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.6079 0.3641 0.388 0.000 0.612
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0000 0.8904 0.000 0.000 1.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0424 0.9296 0.992 0.000 0.008
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.1031 0.9189 0.976 0.000 0.024
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.1643 0.9042 0.956 0.000 0.044
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.9344 1.000 0.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9736 0.000 1.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.5216 0.6431 0.260 0.000 0.740
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.9736 0.000 1.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.9344 1.000 0.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0000 0.9736 0.000 1.000 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.6154 0.3074 0.592 0.000 0.408
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.6235 0.2742 0.436 0.000 0.564
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0000 0.9344 1.000 0.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.0000 0.8904 0.000 0.000 1.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0000 0.8904 0.000 0.000 1.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 3 0.6286 0.1444 0.464 0.000 0.536
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.9736 0.000 1.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.9344 1.000 0.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.5138 0.6551 0.748 0.000 0.252
#> 09758B6F-1B2D-4AED-8913-696097069409 3 0.4399 0.7597 0.188 0.000 0.812
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 3 0.6307 0.0488 0.488 0.000 0.512
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.9344 1.000 0.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9736 0.000 1.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.0000 0.8904 0.000 0.000 1.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.9344 1.000 0.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.0592 0.9270 0.988 0.000 0.012
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0000 0.8904 0.000 0.000 1.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.9736 0.000 1.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0237 0.9321 0.996 0.000 0.004
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#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.0000 0.8904 0.000 0.000 1.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.9344 1.000 0.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0000 0.9344 1.000 0.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.9736 0.000 1.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0000 0.9344 1.000 0.000 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.9736 0.000 1.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.9344 1.000 0.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.9344 1.000 0.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.5497 0.5736 0.708 0.000 0.292
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.3879 0.7959 0.848 0.000 0.152
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.2711 0.8655 0.912 0.000 0.088
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.9736 0.000 1.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.9344 1.000 0.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.9344 1.000 0.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.1643 0.9036 0.956 0.000 0.044
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0237 0.9320 0.996 0.000 0.004
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 3 0.6244 0.2577 0.440 0.000 0.560
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.9344 1.000 0.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0000 0.9344 1.000 0.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.4002 0.7827 0.840 0.000 0.160
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.6305 0.0182 0.516 0.000 0.484
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0000 0.9344 1.000 0.000 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.5529 0.6011 0.296 0.000 0.704
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.9344 1.000 0.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.9736 0.000 1.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.6215 0.2164 0.572 0.000 0.428
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 3 0.0000 0.8904 0.000 0.000 1.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.9344 1.000 0.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.9344 1.000 0.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.9344 1.000 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.9736 0.000 1.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.0000 0.8904 0.000 0.000 1.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.2261 0.8428 0.000 0.068 0.932
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.0000 0.8904 0.000 0.000 1.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 3 0.2959 0.8142 0.000 0.100 0.900
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.5560 0.5775 0.300 0.000 0.700
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.0000 0.8904 0.000 0.000 1.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.9344 1.000 0.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.9344 1.000 0.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.9736 0.000 1.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.9344 1.000 0.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.4605 0.7454 0.000 0.796 0.204
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.6225 0.2024 0.568 0.000 0.432
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.0592 0.8869 0.012 0.000 0.988
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.0000 0.8904 0.000 0.000 1.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 3 0.0000 0.8904 0.000 0.000 1.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 3 0.5363 0.6387 0.276 0.000 0.724
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0892 0.9208 0.980 0.000 0.020
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 3 0.0000 0.8904 0.000 0.000 1.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0424 0.8880 0.008 0.000 0.992
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.0000 0.8904 0.000 0.000 1.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.0000 0.8904 0.000 0.000 1.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.9344 1.000 0.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.9344 1.000 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.9344 1.000 0.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9736 0.000 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9736 0.000 1.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.8904 0.000 0.000 1.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.3816 0.7984 0.852 0.000 0.148
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.9344 1.000 0.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.9344 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.0592 0.81520 0.000 0.000 0.984 0.016
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0188 0.81443 0.000 0.000 0.996 0.004
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.0188 0.81443 0.000 0.000 0.996 0.004
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 4 0.4907 0.77632 0.420 0.000 0.000 0.580
#> 78F79407-D49F-4FA2-B09F-0665C502827C 4 0.4941 0.76001 0.436 0.000 0.000 0.564
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0188 0.76104 0.996 0.000 0.000 0.004
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.5464 0.55699 0.000 0.228 0.708 0.064
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.96085 0.000 1.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.5620 0.66501 0.208 0.000 0.708 0.084
#> 53062969-D209-490B-9C9B-5D297625E2AE 4 0.4643 0.78796 0.344 0.000 0.000 0.656
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0817 0.75752 0.976 0.000 0.000 0.024
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 4 0.4643 0.78796 0.344 0.000 0.000 0.656
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.4053 0.78892 0.004 0.000 0.768 0.228
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.96085 0.000 1.000 0.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.2089 0.80405 0.048 0.000 0.932 0.020
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.4767 0.77794 0.020 0.000 0.724 0.256
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.1356 0.75150 0.960 0.000 0.008 0.032
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 4 0.4697 0.79371 0.356 0.000 0.000 0.644
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.76195 1.000 0.000 0.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.6197 -0.02140 0.508 0.000 0.440 0.052
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.96085 0.000 1.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 4 0.4941 0.76001 0.436 0.000 0.000 0.564
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 4 0.4830 0.79368 0.392 0.000 0.000 0.608
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 4 0.4643 0.78796 0.344 0.000 0.000 0.656
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.1557 0.82034 0.000 0.000 0.944 0.056
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.4804 -0.29767 0.616 0.000 0.000 0.384
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.3907 0.78852 0.000 0.000 0.768 0.232
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 4 0.5861 0.64191 0.480 0.000 0.032 0.488
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0707 0.95594 0.000 0.980 0.000 0.020
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.96085 0.000 1.000 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.1406 0.75969 0.960 0.000 0.016 0.024
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.3245 0.70459 0.880 0.000 0.056 0.064
#> 904EDF2E-411E-43BD-901D-46129AFA283A 4 0.4679 0.79191 0.352 0.000 0.000 0.648
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.1302 0.74439 0.956 0.000 0.000 0.044
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.2644 0.90490 0.000 0.908 0.032 0.060
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.3801 0.80015 0.000 0.000 0.780 0.220
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 3 0.2521 0.80778 0.024 0.000 0.912 0.064
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.96085 0.000 1.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 4 0.4925 0.76944 0.428 0.000 0.000 0.572
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 4 0.4961 0.74749 0.448 0.000 0.000 0.552
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.96085 0.000 1.000 0.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.6098 0.46125 0.292 0.000 0.632 0.076
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.2814 0.81472 0.000 0.000 0.868 0.132
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 4 0.4467 0.56659 0.172 0.000 0.040 0.788
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.0707 0.76096 0.980 0.000 0.000 0.020
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.2408 0.71943 0.920 0.000 0.036 0.044
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0921 0.75580 0.972 0.000 0.000 0.028
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0707 0.95594 0.000 0.980 0.000 0.020
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.4706 0.59063 0.248 0.000 0.732 0.020
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.96085 0.000 1.000 0.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.4981 -0.39623 0.536 0.000 0.000 0.464
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0000 0.96085 0.000 1.000 0.000 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.6748 0.23826 0.328 0.000 0.560 0.112
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.6300 0.66878 0.084 0.000 0.608 0.308
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 4 0.4643 0.78796 0.344 0.000 0.000 0.656
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.2149 0.81912 0.000 0.000 0.912 0.088
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0336 0.81361 0.000 0.000 0.992 0.008
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.6728 0.33860 0.596 0.000 0.268 0.136
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0336 0.95910 0.000 0.992 0.000 0.008
#> A22892DE-0AF4-4B63-9513-1D6825059040 4 0.4776 0.79695 0.376 0.000 0.000 0.624
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.1706 0.72913 0.948 0.000 0.016 0.036
#> 09758B6F-1B2D-4AED-8913-696097069409 3 0.7763 0.54559 0.264 0.000 0.432 0.304
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.7214 0.07234 0.476 0.000 0.380 0.144
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 4 0.4697 0.79352 0.356 0.000 0.000 0.644
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0707 0.95594 0.000 0.980 0.000 0.020
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.0336 0.81361 0.000 0.000 0.992 0.008
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.4830 -0.08795 0.608 0.000 0.000 0.392
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.0817 0.75111 0.976 0.000 0.000 0.024
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0188 0.81443 0.000 0.000 0.996 0.004
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.96085 0.000 1.000 0.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0188 0.76208 0.996 0.000 0.000 0.004
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0188 0.76208 0.996 0.000 0.000 0.004
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.3015 0.68257 0.884 0.000 0.092 0.024
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 4 0.4643 0.78796 0.344 0.000 0.000 0.656
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 4 0.6587 -0.10326 0.100 0.000 0.324 0.576
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.76195 1.000 0.000 0.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.2759 0.71544 0.904 0.000 0.052 0.044
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0707 0.95594 0.000 0.980 0.000 0.020
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.0000 0.81468 0.000 0.000 1.000 0.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.4227 0.82155 0.000 0.820 0.120 0.060
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 4 0.4955 0.75296 0.444 0.000 0.000 0.556
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.6078 0.36902 0.000 0.312 0.620 0.068
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0000 0.76195 1.000 0.000 0.000 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0817 0.75752 0.976 0.000 0.000 0.024
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 4 0.4933 0.76491 0.432 0.000 0.000 0.568
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.4499 0.61027 0.804 0.000 0.072 0.124
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.3569 0.56306 0.804 0.000 0.000 0.196
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.96085 0.000 1.000 0.000 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0000 0.96085 0.000 1.000 0.000 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.1661 0.81087 0.052 0.000 0.944 0.004
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.3453 0.69781 0.868 0.000 0.080 0.052
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.0817 0.75713 0.976 0.000 0.000 0.024
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.96085 0.000 1.000 0.000 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.6380 -0.02707 0.500 0.000 0.436 0.064
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.1854 0.75036 0.940 0.000 0.012 0.048
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0921 0.75580 0.972 0.000 0.000 0.028
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 3 0.3801 0.80357 0.000 0.000 0.780 0.220
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 3 0.5754 0.75804 0.048 0.000 0.636 0.316
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.6898 0.10407 0.524 0.000 0.360 0.116
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.5374 0.75321 0.052 0.000 0.704 0.244
#> 00439565-02CE-4BF5-956D-7078B51C0947 3 0.0188 0.81443 0.000 0.000 0.996 0.004
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0707 0.95594 0.000 0.980 0.000 0.020
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0707 0.95594 0.000 0.980 0.000 0.020
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#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.7369 0.12780 0.524 0.000 0.228 0.248
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 4 0.7914 -0.36196 0.344 0.000 0.308 0.348
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.3942 0.46661 0.764 0.000 0.000 0.236
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.2300 0.79620 0.048 0.000 0.924 0.028
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 4 0.4941 0.76001 0.436 0.000 0.000 0.564
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.96085 0.000 1.000 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 3 0.7595 0.10301 0.200 0.000 0.428 0.372
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 3 0.4104 0.78203 0.080 0.000 0.832 0.088
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0188 0.76104 0.996 0.000 0.000 0.004
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.4500 0.07542 0.684 0.000 0.000 0.316
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.1118 0.75096 0.964 0.000 0.000 0.036
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0707 0.95594 0.000 0.980 0.000 0.020
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.3837 0.80172 0.000 0.000 0.776 0.224
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.2124 0.79036 0.000 0.008 0.924 0.068
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.3356 0.80638 0.000 0.000 0.824 0.176
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 3 0.7024 0.67636 0.088 0.132 0.680 0.100
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.6248 0.53562 0.224 0.000 0.656 0.120
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.5397 0.79514 0.068 0.000 0.720 0.212
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 4 0.4804 0.79620 0.384 0.000 0.000 0.616
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0188 0.76208 0.996 0.000 0.000 0.004
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.96085 0.000 1.000 0.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 4 0.4643 0.78796 0.344 0.000 0.000 0.656
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.5394 0.68720 0.000 0.712 0.228 0.060
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 3 0.6837 0.46026 0.100 0.000 0.472 0.428
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.0336 0.81361 0.000 0.000 0.992 0.008
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.1389 0.82045 0.000 0.000 0.952 0.048
#> C98275CD-C39A-4E14-A731-4F3EB7396665 3 0.1890 0.81524 0.000 0.008 0.936 0.056
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 3 0.5906 0.70901 0.064 0.000 0.644 0.292
#> 6752EED9-7990-433F-A206-D5398C396471 4 0.5435 0.77052 0.420 0.000 0.016 0.564
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 3 0.4283 0.79584 0.004 0.000 0.740 0.256
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.4103 0.78712 0.000 0.000 0.744 0.256
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.5417 0.69372 0.180 0.000 0.732 0.088
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.0921 0.81874 0.000 0.000 0.972 0.028
#> 835AAE7F-F873-4D11-8845-232D261A38DF 4 0.6233 0.75014 0.388 0.000 0.060 0.552
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 4 0.4661 0.78764 0.348 0.000 0.000 0.652
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.1022 0.75159 0.968 0.000 0.000 0.032
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0707 0.95594 0.000 0.980 0.000 0.020
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0707 0.95594 0.000 0.980 0.000 0.020
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.3311 0.80736 0.000 0.000 0.828 0.172
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 4 0.7651 0.49854 0.320 0.000 0.228 0.452
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0188 0.76208 0.996 0.000 0.000 0.004
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.3873 0.44567 0.772 0.000 0.000 0.228
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.2927 0.544398 0.000 0.000 0.868 0.092 0.040
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.5398 0.420066 0.000 0.000 0.648 0.112 0.240
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.5564 0.464085 0.016 0.000 0.676 0.112 0.196
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.1341 0.746965 0.944 0.000 0.000 0.000 0.056
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.1908 0.723711 0.908 0.000 0.000 0.000 0.092
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.4065 0.861442 0.264 0.000 0.000 0.016 0.720
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.7838 0.127943 0.000 0.180 0.476 0.140 0.204
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0162 0.905333 0.000 0.996 0.000 0.004 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 4 0.5689 0.797205 0.000 0.000 0.248 0.616 0.136
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0981 0.736917 0.972 0.000 0.012 0.008 0.008
#> B710293C-41D3-4A2E-8104-5402F91DD859 5 0.4626 0.798457 0.364 0.000 0.000 0.020 0.616
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.1041 0.749042 0.964 0.000 0.004 0.000 0.032
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.1281 0.580222 0.032 0.000 0.956 0.000 0.012
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.1671 0.901371 0.000 0.924 0.000 0.076 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.7499 0.283321 0.252 0.000 0.500 0.100 0.148
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.1314 0.572319 0.012 0.000 0.960 0.012 0.016
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 5 0.4483 0.834053 0.308 0.000 0.008 0.012 0.672
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.1410 0.747290 0.940 0.000 0.000 0.000 0.060
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.4106 0.858837 0.256 0.000 0.000 0.020 0.724
#> C204D355-B876-4341-A111-36D48CBDD2A8 5 0.7879 0.365654 0.252 0.000 0.240 0.088 0.420
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.905355 0.000 1.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.2074 0.721772 0.896 0.000 0.000 0.000 0.104
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0703 0.747467 0.976 0.000 0.000 0.000 0.024
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0854 0.742269 0.976 0.000 0.004 0.008 0.012
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.3477 0.553404 0.000 0.000 0.824 0.040 0.136
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.4150 0.179131 0.612 0.000 0.000 0.000 0.388
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0000 0.575629 0.000 0.000 1.000 0.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.3575 0.667285 0.824 0.000 0.056 0.000 0.120
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0703 0.901180 0.000 0.976 0.000 0.024 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0162 0.905333 0.000 0.996 0.000 0.004 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 5 0.4486 0.857875 0.256 0.000 0.020 0.012 0.712
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.5811 0.808519 0.272 0.000 0.052 0.044 0.632
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0794 0.747684 0.972 0.000 0.000 0.000 0.028
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 5 0.4219 0.744066 0.416 0.000 0.000 0.000 0.584
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0963 0.895872 0.000 0.964 0.000 0.036 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.1471 0.570349 0.024 0.000 0.952 0.020 0.004
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 4 0.5204 0.570726 0.000 0.000 0.368 0.580 0.052
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.905355 0.000 1.000 0.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.1121 0.749095 0.956 0.000 0.000 0.000 0.044
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.3074 0.652980 0.804 0.000 0.000 0.000 0.196
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.2690 0.882367 0.000 0.844 0.000 0.156 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.5525 0.127527 0.240 0.000 0.636 0.000 0.124
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.1493 0.577145 0.000 0.000 0.948 0.024 0.028
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.4288 0.508698 0.720 0.000 0.256 0.008 0.016
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 5 0.4387 0.818650 0.348 0.000 0.000 0.012 0.640
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 5 0.5351 0.636838 0.380 0.000 0.060 0.000 0.560
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 5 0.4366 0.839948 0.320 0.000 0.000 0.016 0.664
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0404 0.903835 0.000 0.988 0.000 0.012 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.5288 0.165490 0.244 0.000 0.656 0.000 0.100
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.3242 0.860687 0.000 0.784 0.000 0.216 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.3424 0.483140 0.760 0.000 0.000 0.000 0.240
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0000 0.905355 0.000 1.000 0.000 0.000 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.4481 0.166296 0.576 0.000 0.416 0.000 0.008
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.5071 0.324950 0.272 0.000 0.672 0.040 0.016
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0000 0.742383 1.000 0.000 0.000 0.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.2597 0.571283 0.000 0.000 0.884 0.024 0.092
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.5398 0.416810 0.000 0.000 0.648 0.112 0.240
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 5 0.7362 0.603315 0.264 0.000 0.172 0.068 0.496
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.905355 0.000 1.000 0.000 0.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0703 0.746894 0.976 0.000 0.000 0.000 0.024
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.4167 0.853289 0.252 0.000 0.000 0.024 0.724
#> 09758B6F-1B2D-4AED-8913-696097069409 3 0.6064 -0.185360 0.032 0.000 0.496 0.052 0.420
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 3 0.7016 -0.299257 0.304 0.000 0.388 0.008 0.300
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0510 0.746395 0.984 0.000 0.000 0.000 0.016
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0510 0.903020 0.000 0.984 0.000 0.016 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.5398 0.416810 0.000 0.000 0.648 0.112 0.240
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.3932 0.176761 0.672 0.000 0.000 0.000 0.328
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 5 0.3861 0.861965 0.264 0.000 0.000 0.008 0.728
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.5167 0.440716 0.000 0.000 0.668 0.092 0.240
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.2074 0.895448 0.000 0.896 0.000 0.104 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 5 0.3689 0.859420 0.256 0.000 0.000 0.004 0.740
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 5 0.3766 0.861003 0.268 0.000 0.000 0.004 0.728
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 5 0.5451 0.799804 0.256 0.000 0.064 0.020 0.660
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0794 0.750405 0.972 0.000 0.000 0.000 0.028
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 3 0.4994 0.124810 0.464 0.000 0.512 0.008 0.016
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 5 0.4106 0.858837 0.256 0.000 0.000 0.020 0.724
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 5 0.4896 0.841333 0.252 0.000 0.032 0.020 0.696
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0703 0.901180 0.000 0.976 0.000 0.024 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.5205 0.440256 0.000 0.000 0.672 0.104 0.224
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.3837 0.789889 0.000 0.692 0.000 0.308 0.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.2127 0.723340 0.892 0.000 0.000 0.000 0.108
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.8264 -0.022564 0.000 0.236 0.380 0.144 0.240
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 5 0.3689 0.859420 0.256 0.000 0.000 0.004 0.740
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 5 0.4238 0.801373 0.368 0.000 0.000 0.004 0.628
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.1671 0.740772 0.924 0.000 0.000 0.000 0.076
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 5 0.6198 0.739705 0.272 0.000 0.128 0.016 0.584
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.4268 -0.372071 0.556 0.000 0.000 0.000 0.444
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.1544 0.902748 0.000 0.932 0.000 0.068 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.2471 0.887874 0.000 0.864 0.000 0.136 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.6881 0.138529 0.168 0.000 0.588 0.076 0.168
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 5 0.5929 0.673354 0.308 0.000 0.116 0.004 0.572
#> D47D0936-826F-4D54-9225-F71B95357438 5 0.4218 0.831398 0.332 0.000 0.000 0.008 0.660
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.3242 0.860687 0.000 0.784 0.000 0.216 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.7997 -0.184227 0.252 0.000 0.388 0.092 0.268
#> D587A993-3C47-4D4C-B744-59169D4F7451 5 0.3942 0.861438 0.260 0.000 0.012 0.000 0.728
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 5 0.4626 0.798457 0.364 0.000 0.000 0.020 0.616
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 3 0.0613 0.573178 0.004 0.000 0.984 0.008 0.004
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 3 0.3189 0.506327 0.056 0.000 0.868 0.012 0.064
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 5 0.8171 0.388414 0.224 0.000 0.160 0.200 0.416
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.2452 0.534148 0.084 0.000 0.896 0.004 0.016
#> 00439565-02CE-4BF5-956D-7078B51C0947 3 0.6060 0.414914 0.020 0.000 0.616 0.120 0.244
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0703 0.901180 0.000 0.976 0.000 0.024 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0703 0.901180 0.000 0.976 0.000 0.024 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 5 0.4651 0.790814 0.372 0.000 0.000 0.020 0.608
#> 7822EA86-35A1-4285-9429-2B63111B9885 5 0.5439 0.807577 0.276 0.000 0.076 0.008 0.640
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.905355 0.000 1.000 0.000 0.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 4 0.5778 0.788385 0.000 0.016 0.256 0.632 0.096
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.3213 0.459272 0.144 0.000 0.836 0.004 0.016
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 5 0.3861 0.861360 0.264 0.000 0.000 0.008 0.728
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#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.3143 0.642378 0.796 0.000 0.000 0.000 0.204
#> D365A238-4739-4B54-9608-DC548F21C04E 5 0.3534 0.858272 0.256 0.000 0.000 0.000 0.744
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.4054 0.635116 0.788 0.000 0.140 0.000 0.072
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 3 0.4906 0.278894 0.316 0.000 0.648 0.020 0.016
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.3336 0.540847 0.772 0.000 0.000 0.000 0.228
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0510 0.747692 0.984 0.000 0.000 0.000 0.016
#> 02ABB64E-768B-4999-A899-EEE573D5F186 5 0.6786 0.239175 0.384 0.000 0.224 0.004 0.388
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 3 0.6596 -0.150192 0.100 0.000 0.472 0.032 0.396
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.5289 0.108256 0.596 0.000 0.064 0.000 0.340
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.8389 0.096975 0.268 0.000 0.328 0.148 0.256
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.1908 0.730708 0.908 0.000 0.000 0.000 0.092
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.1197 0.904271 0.000 0.952 0.000 0.048 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.5439 0.147614 0.556 0.000 0.392 0.040 0.012
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 3 0.4951 0.240559 0.000 0.000 0.704 0.196 0.100
#> 9AF0E82E-E621-437A-8D19-700532B95090 5 0.4157 0.861113 0.264 0.000 0.000 0.020 0.716
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.3796 0.328437 0.700 0.000 0.000 0.000 0.300
#> EFE5A302-D138-4044-A301-5C5FD1C24836 5 0.4331 0.765874 0.400 0.000 0.000 0.004 0.596
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0703 0.901180 0.000 0.976 0.000 0.024 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.0162 0.574308 0.000 0.000 0.996 0.004 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.6084 0.362805 0.000 0.012 0.604 0.144 0.240
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.0854 0.577807 0.004 0.000 0.976 0.008 0.012
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 4 0.5951 0.752942 0.000 0.044 0.228 0.648 0.080
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.4305 0.377747 0.200 0.000 0.748 0.000 0.052
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.2946 0.508327 0.000 0.000 0.868 0.088 0.044
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.1270 0.741827 0.948 0.000 0.000 0.000 0.052
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 5 0.4157 0.861113 0.264 0.000 0.000 0.020 0.716
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.3143 0.866050 0.000 0.796 0.000 0.204 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0510 0.746395 0.984 0.000 0.000 0.000 0.016
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.4508 0.743037 0.000 0.648 0.020 0.332 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 3 0.4852 0.211990 0.380 0.000 0.596 0.008 0.016
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.5550 0.416591 0.004 0.000 0.644 0.112 0.240
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.2067 0.571057 0.000 0.000 0.920 0.048 0.032
#> C98275CD-C39A-4E14-A731-4F3EB7396665 3 0.3758 0.513191 0.000 0.056 0.824 0.112 0.008
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 3 0.5046 0.335090 0.256 0.000 0.684 0.044 0.016
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.3257 0.693000 0.844 0.000 0.028 0.004 0.124
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 3 0.2251 0.555973 0.052 0.000 0.916 0.024 0.008
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0404 0.572551 0.000 0.000 0.988 0.012 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 4 0.5446 0.772141 0.000 0.000 0.272 0.628 0.100
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.4532 0.542079 0.020 0.000 0.764 0.048 0.168
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.3882 0.605727 0.788 0.000 0.168 0.000 0.044
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.1121 0.743339 0.956 0.000 0.000 0.000 0.044
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.4047 0.823119 0.320 0.000 0.000 0.004 0.676
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0609 0.902199 0.000 0.980 0.000 0.020 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0162 0.905030 0.000 0.996 0.000 0.004 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.1557 0.580364 0.000 0.000 0.940 0.008 0.052
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.5436 0.298918 0.588 0.000 0.356 0.040 0.016
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.3715 0.859371 0.260 0.000 0.000 0.004 0.736
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.3990 0.317670 0.688 0.000 0.000 0.004 0.308
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.0146 0.436763 0.000 0.000 0.996 0.004 0.000 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.4780 0.047663 0.012 0.000 0.644 0.056 0.000 0.288
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.5566 -0.082079 0.096 0.000 0.552 0.020 0.000 0.332
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.3528 0.705277 0.700 0.000 0.000 0.000 0.296 0.004
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.3728 0.671454 0.652 0.000 0.000 0.000 0.344 0.004
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.2605 0.650319 0.028 0.000 0.000 0.108 0.864 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.6150 -0.215701 0.020 0.188 0.528 0.004 0.000 0.260
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0146 0.807442 0.000 0.996 0.000 0.000 0.000 0.004
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 4 0.5402 0.658928 0.060 0.000 0.128 0.676 0.136 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.3733 0.692563 0.764 0.000 0.004 0.008 0.204 0.020
#> B710293C-41D3-4A2E-8104-5402F91DD859 5 0.4302 0.560255 0.156 0.000 0.000 0.116 0.728 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.3288 0.701409 0.724 0.000 0.000 0.000 0.276 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.2231 0.440347 0.028 0.000 0.908 0.048 0.000 0.016
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.1957 0.795359 0.000 0.888 0.000 0.000 0.000 0.112
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.6201 -0.115863 0.308 0.000 0.488 0.024 0.000 0.180
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.3698 0.442994 0.028 0.000 0.788 0.164 0.020 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 5 0.5173 0.540399 0.172 0.000 0.000 0.188 0.636 0.004
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.3288 0.707686 0.724 0.000 0.000 0.000 0.276 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.2398 0.648867 0.020 0.000 0.000 0.104 0.876 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 5 0.5825 0.070788 0.056 0.000 0.064 0.356 0.524 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.807583 0.000 1.000 0.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.3986 0.636277 0.608 0.000 0.000 0.004 0.384 0.004
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.3508 0.700528 0.704 0.000 0.000 0.000 0.292 0.004
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.3259 0.699562 0.772 0.000 0.000 0.000 0.216 0.012
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.3295 0.339655 0.000 0.000 0.816 0.056 0.000 0.128
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.3995 0.267611 0.516 0.000 0.000 0.000 0.480 0.004
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0508 0.443599 0.012 0.000 0.984 0.004 0.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.5260 0.472053 0.640 0.000 0.044 0.048 0.264 0.004
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0713 0.799589 0.000 0.972 0.000 0.000 0.000 0.028
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.807583 0.000 1.000 0.000 0.000 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 5 0.2737 0.662703 0.024 0.000 0.060 0.036 0.880 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.4824 0.517936 0.060 0.000 0.016 0.268 0.656 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.3221 0.707300 0.736 0.000 0.000 0.000 0.264 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 5 0.3457 0.494560 0.232 0.000 0.000 0.016 0.752 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0146 0.806997 0.000 0.996 0.000 0.004 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.5354 0.359702 0.160 0.000 0.680 0.084 0.000 0.076
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 4 0.4832 0.459142 0.008 0.000 0.324 0.612 0.056 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.807583 0.000 1.000 0.000 0.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.3619 0.694558 0.680 0.000 0.000 0.000 0.316 0.004
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.3961 0.489491 0.556 0.000 0.000 0.000 0.440 0.004
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.3428 0.732690 0.000 0.696 0.000 0.000 0.000 0.304
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.7651 -0.167206 0.168 0.000 0.348 0.212 0.268 0.004
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0790 0.441479 0.000 0.000 0.968 0.032 0.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.4826 0.644243 0.724 0.000 0.036 0.076 0.160 0.004
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 5 0.4286 0.627362 0.108 0.000 0.000 0.164 0.728 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 5 0.4296 0.312535 0.348 0.000 0.004 0.016 0.628 0.004
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 5 0.3612 0.615558 0.100 0.000 0.000 0.104 0.796 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0363 0.806192 0.000 0.988 0.000 0.000 0.000 0.012
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.7026 -0.035589 0.128 0.000 0.452 0.148 0.272 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.3843 0.656127 0.000 0.548 0.000 0.000 0.000 0.452
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.4204 0.435035 0.540 0.000 0.000 0.008 0.448 0.004
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0363 0.808601 0.000 0.988 0.000 0.000 0.000 0.012
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.6049 -0.035055 0.508 0.000 0.364 0.044 0.076 0.008
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.6755 0.065251 0.356 0.000 0.428 0.096 0.000 0.120
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.3245 0.703747 0.764 0.000 0.000 0.000 0.228 0.008
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.0363 0.433899 0.000 0.000 0.988 0.000 0.000 0.012
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.3646 0.056769 0.004 0.000 0.700 0.004 0.000 0.292
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 5 0.6293 0.208850 0.096 0.000 0.076 0.316 0.512 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.807583 0.000 1.000 0.000 0.000 0.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.3405 0.706290 0.724 0.000 0.000 0.000 0.272 0.004
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.2502 0.672304 0.020 0.000 0.012 0.084 0.884 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 3 0.7037 -0.223949 0.080 0.000 0.376 0.204 0.340 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 4 0.7558 0.232627 0.224 0.000 0.164 0.332 0.280 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.3244 0.707193 0.732 0.000 0.000 0.000 0.268 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0260 0.807001 0.000 0.992 0.000 0.000 0.000 0.008
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.3508 0.060823 0.000 0.000 0.704 0.004 0.000 0.292
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 5 0.3989 -0.199641 0.468 0.000 0.000 0.000 0.528 0.004
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 5 0.3278 0.651766 0.040 0.000 0.000 0.152 0.808 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.4045 0.102020 0.000 0.000 0.696 0.036 0.000 0.268
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.3101 0.755133 0.000 0.756 0.000 0.000 0.000 0.244
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 5 0.2655 0.662835 0.096 0.000 0.012 0.020 0.872 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 5 0.1176 0.667383 0.024 0.000 0.000 0.020 0.956 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 5 0.4798 0.493507 0.096 0.000 0.000 0.236 0.664 0.004
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.3266 0.706884 0.728 0.000 0.000 0.000 0.272 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.6782 -0.285392 0.416 0.000 0.380 0.144 0.044 0.016
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 5 0.2480 0.648703 0.024 0.000 0.000 0.104 0.872 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 5 0.2920 0.606943 0.008 0.000 0.004 0.168 0.820 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0713 0.799589 0.000 0.972 0.000 0.000 0.000 0.028
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.2909 0.331423 0.000 0.000 0.836 0.028 0.000 0.136
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.3937 0.672001 0.000 0.572 0.004 0.000 0.000 0.424
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.3955 0.566179 0.560 0.000 0.000 0.000 0.436 0.004
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 6 0.6433 0.095837 0.020 0.172 0.400 0.008 0.000 0.400
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 5 0.2875 0.654374 0.096 0.000 0.000 0.052 0.852 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 5 0.2930 0.617392 0.124 0.000 0.000 0.036 0.840 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.3769 0.665032 0.640 0.000 0.000 0.000 0.356 0.004
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 5 0.6096 0.437864 0.208 0.000 0.060 0.148 0.584 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 5 0.4709 0.007693 0.412 0.000 0.000 0.048 0.540 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.1327 0.804624 0.000 0.936 0.000 0.000 0.000 0.064
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.3221 0.748253 0.000 0.736 0.000 0.000 0.000 0.264
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.7612 -0.100653 0.104 0.000 0.404 0.172 0.292 0.028
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 5 0.5229 0.478020 0.244 0.000 0.040 0.068 0.648 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 5 0.3869 0.654735 0.100 0.000 0.000 0.128 0.772 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.3838 0.657906 0.000 0.552 0.000 0.000 0.000 0.448
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 5 0.7260 -0.383134 0.092 0.000 0.264 0.320 0.324 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 5 0.2510 0.675272 0.028 0.000 0.000 0.100 0.872 0.000
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#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.3843 0.656127 0.000 0.548 0.000 0.000 0.000 0.452
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0146 0.807326 0.000 0.996 0.004 0.000 0.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 5 0.3872 -0.139230 0.392 0.000 0.000 0.000 0.604 0.004
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.3288 0.744395 0.000 0.724 0.000 0.000 0.000 0.276
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.1152 0.785737 0.000 0.952 0.044 0.004 0.000 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 5 0.5121 -0.091066 0.440 0.000 0.008 0.060 0.492 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.3565 0.702651 0.692 0.000 0.000 0.000 0.304 0.004
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.3151 0.753668 0.000 0.748 0.000 0.000 0.000 0.252
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0260 0.806110 0.000 0.992 0.000 0.000 0.000 0.008
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.2619 0.392051 0.000 0.008 0.880 0.040 0.000 0.072
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 5 0.3297 0.637388 0.068 0.000 0.000 0.112 0.820 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 5 0.2888 0.670153 0.056 0.000 0.000 0.092 0.852 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.807583 0.000 1.000 0.000 0.000 0.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 5 0.2846 0.669229 0.060 0.000 0.000 0.084 0.856 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.3838 0.657906 0.000 0.552 0.000 0.000 0.000 0.448
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 5 0.2726 0.647491 0.032 0.000 0.000 0.112 0.856 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 5 0.2030 0.660691 0.028 0.000 0.000 0.064 0.908 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.4669 0.399275 0.772 0.000 0.072 0.036 0.036 0.084
#> 54504893-92C5-4328-85A8-2A882680B5E0 5 0.4765 0.517137 0.112 0.000 0.000 0.204 0.680 0.004
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 5 0.3635 0.659067 0.068 0.000 0.008 0.120 0.804 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.3782 0.681026 0.000 0.588 0.000 0.000 0.000 0.412
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 5 0.3104 0.551633 0.184 0.000 0.000 0.016 0.800 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.3982 0.354121 0.536 0.000 0.000 0.000 0.460 0.004
#> D365A238-4739-4B54-9608-DC548F21C04E 5 0.3297 0.608470 0.068 0.000 0.000 0.112 0.820 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.4675 0.527399 0.616 0.000 0.036 0.000 0.336 0.012
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 3 0.6578 0.086382 0.396 0.000 0.420 0.128 0.008 0.048
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.3728 0.671402 0.652 0.000 0.000 0.000 0.344 0.004
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.3071 0.680628 0.804 0.000 0.016 0.000 0.180 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 5 0.6650 0.209462 0.376 0.000 0.092 0.108 0.424 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 3 0.7625 -0.167695 0.244 0.000 0.312 0.176 0.268 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.5513 0.149844 0.472 0.000 0.024 0.056 0.444 0.004
#> CCDB0290-91DA-4089-84A6-4434BA028D30 6 0.6750 0.167197 0.320 0.000 0.248 0.032 0.004 0.396
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.3684 0.564715 0.664 0.000 0.000 0.000 0.332 0.004
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.2178 0.789609 0.000 0.868 0.000 0.000 0.000 0.132
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.6088 0.200952 0.656 0.000 0.120 0.092 0.032 0.100
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 3 0.5398 0.050129 0.028 0.000 0.524 0.392 0.056 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 5 0.2771 0.646449 0.032 0.000 0.000 0.116 0.852 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 5 0.3864 -0.305689 0.480 0.000 0.000 0.000 0.520 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 5 0.3572 0.525283 0.204 0.000 0.000 0.032 0.764 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0713 0.799589 0.000 0.972 0.000 0.000 0.000 0.028
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.2575 0.449783 0.024 0.000 0.872 0.100 0.000 0.004
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.4622 -0.138999 0.020 0.004 0.564 0.008 0.000 0.404
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.3726 0.373185 0.092 0.000 0.812 0.024 0.000 0.072
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 4 0.4189 0.687096 0.004 0.028 0.148 0.772 0.048 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.7380 0.044372 0.224 0.000 0.432 0.172 0.168 0.004
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.4380 0.349464 0.024 0.000 0.652 0.312 0.012 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.3565 0.690140 0.692 0.000 0.000 0.000 0.304 0.004
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 5 0.2558 0.648533 0.028 0.000 0.000 0.104 0.868 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.3620 0.707064 0.000 0.648 0.000 0.000 0.000 0.352
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.3198 0.707491 0.740 0.000 0.000 0.000 0.260 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.4389 0.630948 0.000 0.528 0.024 0.000 0.000 0.448
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 3 0.6992 0.141776 0.320 0.000 0.452 0.156 0.036 0.036
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.4556 0.021906 0.032 0.000 0.652 0.016 0.000 0.300
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.0000 0.438417 0.000 0.000 1.000 0.000 0.000 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 3 0.5860 0.361983 0.120 0.036 0.664 0.140 0.000 0.040
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 3 0.6837 0.121627 0.308 0.000 0.456 0.116 0.000 0.120
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.4046 0.464674 0.620 0.000 0.000 0.004 0.368 0.008
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 3 0.6155 0.307418 0.208 0.000 0.596 0.116 0.004 0.076
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.2988 0.447332 0.024 0.000 0.824 0.152 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 4 0.3841 0.702322 0.000 0.000 0.168 0.764 0.068 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.4447 0.306905 0.092 0.000 0.744 0.020 0.000 0.144
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.5241 0.551505 0.648 0.000 0.140 0.008 0.200 0.004
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.3508 0.696122 0.704 0.000 0.000 0.000 0.292 0.004
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.3342 0.549866 0.228 0.000 0.000 0.012 0.760 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0547 0.802426 0.000 0.980 0.000 0.000 0.000 0.020
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.807583 0.000 1.000 0.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.1398 0.435689 0.000 0.000 0.940 0.052 0.000 0.008
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.4794 0.474606 0.760 0.000 0.020 0.088 0.060 0.072
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.2095 0.665607 0.076 0.000 0.004 0.016 0.904 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.3727 0.609553 0.612 0.000 0.000 0.000 0.388 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 17469 rows and 309 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 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 0.946 0.948 0.979 0.4589 0.542 0.542
#> 3 3 0.827 0.861 0.942 0.3917 0.767 0.590
#> 4 4 0.777 0.813 0.912 0.0855 0.886 0.712
#> 5 5 0.851 0.839 0.898 0.0860 0.856 0.594
#> 6 6 0.827 0.724 0.882 0.0527 0.949 0.802
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.0000 0.96994 0.000 1.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.0000 0.98178 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.6343 0.80877 0.840 0.160
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.98178 1.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.98178 1.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.98178 1.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 2 0.0000 0.96994 0.000 1.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.96994 0.000 1.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.0000 0.98178 1.000 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.98178 1.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.98178 1.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.98178 1.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.0000 0.98178 1.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.96994 0.000 1.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.0000 0.98178 1.000 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.0938 0.97135 0.988 0.012
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.0000 0.98178 1.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.98178 1.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.98178 1.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0000 0.98178 1.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.96994 0.000 1.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.98178 1.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.98178 1.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.98178 1.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.0000 0.98178 1.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0000 0.98178 1.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.6247 0.81064 0.844 0.156
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0000 0.98178 1.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.96994 0.000 1.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.96994 0.000 1.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.98178 1.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.98178 1.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.98178 1.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.98178 1.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.96994 0.000 1.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 2 0.9552 0.40895 0.376 0.624
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.9286 0.46459 0.656 0.344
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.96994 0.000 1.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.98178 1.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.98178 1.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.96994 0.000 1.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.0000 0.98178 1.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 2 0.0000 0.96994 0.000 1.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.98178 1.000 0.000
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#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.96994 0.000 1.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.0000 0.98178 1.000 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.1414 0.96394 0.980 0.020
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.0000 0.98178 1.000 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.96994 0.000 1.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.96994 0.000 1.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.98178 1.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.96994 0.000 1.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.96994 0.000 1.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0000 0.98178 1.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0000 0.98178 1.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.96994 0.000 1.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.96994 0.000 1.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 2 0.0000 0.96994 0.000 1.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.98178 1.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0000 0.98178 1.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.96994 0.000 1.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0000 0.98178 1.000 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.96994 0.000 1.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.98178 1.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.98178 1.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.98178 1.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.0000 0.98178 1.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.98178 1.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.96994 0.000 1.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.98178 1.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.98178 1.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0000 0.98178 1.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0000 0.98178 1.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0672 0.97483 0.992 0.008
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.98178 1.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0000 0.98178 1.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.0000 0.98178 1.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0000 0.98178 1.000 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0000 0.98178 1.000 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.0000 0.98178 1.000 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.98178 1.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.96994 0.000 1.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.98178 1.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.0938 0.96005 0.012 0.988
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.98178 1.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.98178 1.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.98178 1.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.96994 0.000 1.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 2 0.6438 0.80225 0.164 0.836
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 2 0.0000 0.96994 0.000 1.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 2 0.0000 0.96994 0.000 1.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.0000 0.96994 0.000 1.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.0000 0.98178 1.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 2 0.7815 0.70528 0.232 0.768
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.98178 1.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.98178 1.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.96994 0.000 1.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.98178 1.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.96994 0.000 1.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.98178 1.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.0000 0.98178 1.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 2 0.0000 0.96994 0.000 1.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.96994 0.000 1.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.98178 1.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.98178 1.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 2 0.0000 0.96994 0.000 1.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.9635 0.36076 0.612 0.388
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 2 0.6343 0.80755 0.160 0.840
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.6531 0.79466 0.832 0.168
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.98178 1.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.98178 1.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.98178 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.96994 0.000 1.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.96994 0.000 1.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.6343 0.80463 0.840 0.160
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.98178 1.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.98178 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.98178 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.2448 0.8412 0.000 0.076 0.924
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.8937 0.000 0.000 1.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.0475 0.8947 0.004 0.004 0.992
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.9401 1.000 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.9401 1.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.9401 1.000 0.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.0424 0.8926 0.000 0.008 0.992
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9568 0.000 1.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.1525 0.9116 0.964 0.032 0.004
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.6308 -0.0504 0.508 0.000 0.492
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.9401 1.000 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.9401 1.000 0.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0237 0.8949 0.004 0.000 0.996
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.9568 0.000 1.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.0424 0.8952 0.008 0.000 0.992
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.1529 0.8801 0.040 0.000 0.960
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.5835 0.4664 0.660 0.000 0.340
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.9401 1.000 0.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.9401 1.000 0.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.3412 0.8279 0.876 0.000 0.124
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9568 0.000 1.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.9401 1.000 0.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.9401 1.000 0.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.3038 0.8521 0.896 0.000 0.104
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.8937 0.000 0.000 1.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0000 0.9401 1.000 0.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0237 0.8936 0.000 0.004 0.996
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.5785 0.5376 0.332 0.000 0.668
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9568 0.000 1.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.9568 0.000 1.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.9401 1.000 0.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0237 0.9374 0.996 0.000 0.004
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.9401 1.000 0.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.9401 1.000 0.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0424 0.9516 0.000 0.992 0.008
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.1031 0.8855 0.000 0.024 0.976
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.5926 0.4483 0.644 0.356 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.9568 0.000 1.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.9401 1.000 0.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.9401 1.000 0.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.9568 0.000 1.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.6140 0.3657 0.404 0.000 0.596
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0000 0.8937 0.000 0.000 1.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0237 0.9377 0.996 0.000 0.004
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.0000 0.9401 1.000 0.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.1643 0.9080 0.956 0.000 0.044
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.9401 1.000 0.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9568 0.000 1.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.3340 0.8301 0.120 0.000 0.880
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0424 0.9532 0.000 0.992 0.008
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.9401 1.000 0.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0000 0.9568 0.000 1.000 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0747 0.8927 0.016 0.000 0.984
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.0424 0.8952 0.008 0.000 0.992
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 3 0.5621 0.5877 0.308 0.000 0.692
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.0000 0.8937 0.000 0.000 1.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0237 0.8936 0.000 0.004 0.996
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.0237 0.9374 0.996 0.000 0.004
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.9568 0.000 1.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.9401 1.000 0.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.9401 1.000 0.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.4702 0.7117 0.788 0.212 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.5058 0.6622 0.756 0.000 0.244
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.9401 1.000 0.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9568 0.000 1.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.0237 0.8936 0.000 0.004 0.996
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.9401 1.000 0.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.0000 0.9401 1.000 0.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0000 0.8937 0.000 0.000 1.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.9568 0.000 1.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0000 0.9401 1.000 0.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0000 0.9401 1.000 0.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.0747 0.9298 0.984 0.000 0.016
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0000 0.9401 1.000 0.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 3 0.5363 0.6486 0.276 0.000 0.724
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.9401 1.000 0.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0000 0.9401 1.000 0.000 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.9568 0.000 1.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.0000 0.8937 0.000 0.000 1.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.6140 0.3554 0.000 0.596 0.404
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0000 0.9401 1.000 0.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.3116 0.8088 0.000 0.108 0.892
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0000 0.9401 1.000 0.000 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.9401 1.000 0.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.9401 1.000 0.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.0000 0.9401 1.000 0.000 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.4235 0.7634 0.824 0.000 0.176
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.9568 0.000 1.000 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0000 0.9568 0.000 1.000 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.6308 0.0745 0.492 0.000 0.508
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0000 0.9401 1.000 0.000 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.0000 0.9401 1.000 0.000 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.9568 0.000 1.000 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.6154 0.2872 0.592 0.000 0.408
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0000 0.9401 1.000 0.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0000 0.9401 1.000 0.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 3 0.1031 0.8853 0.000 0.024 0.976
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.7091 0.4329 0.640 0.040 0.320
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.2448 0.8740 0.924 0.076 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.0424 0.8950 0.008 0.000 0.992
#> 00439565-02CE-4BF5-956D-7078B51C0947 3 0.0475 0.8947 0.004 0.004 0.992
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.9568 0.000 1.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.9568 0.000 1.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.0000 0.9401 1.000 0.000 0.000
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#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.0237 0.8936 0.000 0.004 0.996
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.0000 0.8937 0.000 0.000 1.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.0000 0.9568 0.000 1.000 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.2625 0.8563 0.084 0.000 0.916
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.9322 0.1457 0.164 0.392 0.444
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.9401 1.000 0.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.9401 1.000 0.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.9568 0.000 1.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.9401 1.000 0.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.5706 0.5183 0.000 0.680 0.320
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 3 0.4931 0.7105 0.232 0.000 0.768
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.0424 0.8952 0.008 0.000 0.992
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.0000 0.8937 0.000 0.000 1.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.9568 0.000 1.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 3 0.0424 0.8952 0.008 0.000 0.992
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.5058 0.6612 0.756 0.000 0.244
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 2 0.2356 0.8915 0.000 0.928 0.072
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.8937 0.000 0.000 1.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 2 0.1529 0.9172 0.040 0.960 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.0475 0.8947 0.004 0.004 0.992
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.1031 0.8893 0.024 0.000 0.976
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.9401 1.000 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.9401 1.000 0.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9568 0.000 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9568 0.000 1.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.8937 0.000 0.000 1.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 3 0.3752 0.8132 0.144 0.000 0.856
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.9401 1.000 0.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.9401 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.2799 0.7433 0.000 0.008 0.108 0.884
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 4 0.4761 0.3957 0.000 0.000 0.372 0.628
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.0000 0.8429 0.000 0.000 1.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0336 0.9257 0.992 0.000 0.008 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.0707 0.8435 0.000 0.000 0.980 0.020
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9428 0.000 1.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.3626 0.7645 0.812 0.000 0.004 0.184
#> 53062969-D209-490B-9C9B-5D297625E2AE 3 0.5453 0.3620 0.388 0.000 0.592 0.020
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0188 0.9273 0.996 0.000 0.000 0.004
#> B055A70B-3003-47CB-BDAA-6378C000BF24 4 0.4679 0.4137 0.000 0.000 0.352 0.648
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.9428 0.000 1.000 0.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.0469 0.8439 0.000 0.000 0.988 0.012
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 4 0.2888 0.7258 0.004 0.000 0.124 0.872
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.5356 0.6751 0.728 0.000 0.072 0.200
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0188 0.9272 0.996 0.000 0.004 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.3813 0.7991 0.828 0.000 0.024 0.148
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9428 0.000 1.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.4837 0.4474 0.648 0.000 0.348 0.004
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 4 0.2704 0.7287 0.000 0.000 0.124 0.876
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0188 0.9272 0.996 0.000 0.004 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.4522 0.5480 0.000 0.000 0.680 0.320
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.6124 0.4951 0.640 0.000 0.276 0.084
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9428 0.000 1.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.9428 0.000 1.000 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0188 0.9271 0.996 0.004 0.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.4933 0.2531 0.568 0.000 0.000 0.432
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0188 0.9411 0.000 0.996 0.004 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.3737 0.7188 0.004 0.136 0.840 0.020
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 2 0.5628 0.2348 0.420 0.556 0.024 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0469 0.9364 0.000 0.988 0.012 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0336 0.9257 0.992 0.000 0.008 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.1211 0.9192 0.000 0.960 0.000 0.040
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 4 0.7526 0.2009 0.372 0.000 0.188 0.440
#> 6D3CC3AC-618B-414A-B640-169C735A6568 4 0.2345 0.7402 0.000 0.000 0.100 0.900
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0707 0.9204 0.980 0.000 0.000 0.020
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.3801 0.7353 0.780 0.000 0.000 0.220
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.1792 0.8853 0.932 0.000 0.068 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9428 0.000 1.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 4 0.4423 0.6703 0.036 0.000 0.176 0.788
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.3649 0.6759 0.000 0.204 0.000 0.796
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0188 0.9273 0.996 0.000 0.000 0.004
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0592 0.9339 0.000 0.984 0.016 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.4972 0.1982 0.000 0.000 0.544 0.456
#> F941890E-AB33-478F-8C97-1C785DD9428F 3 0.0817 0.8434 0.000 0.000 0.976 0.024
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 3 0.4163 0.6401 0.188 0.000 0.792 0.020
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 4 0.4994 0.0153 0.000 0.000 0.480 0.520
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.2011 0.8130 0.000 0.000 0.920 0.080
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 4 0.2973 0.6888 0.144 0.000 0.000 0.856
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0469 0.9364 0.000 0.988 0.012 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.4459 0.7184 0.780 0.032 0.000 0.188
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 4 0.0469 0.7652 0.012 0.000 0.000 0.988
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9428 0.000 1.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.1940 0.8208 0.000 0.000 0.924 0.076
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.2149 0.8740 0.912 0.000 0.000 0.088
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.4830 0.3524 0.000 0.000 0.608 0.392
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.1118 0.9219 0.000 0.964 0.000 0.036
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0188 0.9273 0.996 0.000 0.000 0.004
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.4677 0.5649 0.680 0.000 0.004 0.316
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 4 0.5444 0.2680 0.424 0.000 0.016 0.560
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0188 0.9273 0.996 0.000 0.000 0.004
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.9428 0.000 1.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 4 0.4790 0.3726 0.000 0.000 0.380 0.620
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.2412 0.7558 0.000 0.084 0.008 0.908
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.2973 0.7050 0.000 0.144 0.856 0.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0188 0.9272 0.996 0.000 0.004 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.0921 0.9164 0.972 0.000 0.000 0.028
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.1661 0.8981 0.944 0.000 0.004 0.052
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0707 0.9328 0.000 0.980 0.000 0.020
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0188 0.9412 0.000 0.996 0.000 0.004
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 1 0.6626 0.5027 0.624 0.000 0.216 0.160
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.1389 0.9039 0.952 0.000 0.000 0.048
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.1211 0.9182 0.000 0.960 0.000 0.040
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 4 0.1820 0.7611 0.036 0.000 0.020 0.944
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 3 0.1474 0.8341 0.000 0.000 0.948 0.052
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 4 0.2466 0.7264 0.096 0.004 0.000 0.900
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.0469 0.9231 0.988 0.012 0.000 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 4 0.3726 0.6434 0.000 0.000 0.212 0.788
#> 00439565-02CE-4BF5-956D-7078B51C0947 3 0.0000 0.8429 0.000 0.000 1.000 0.000
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.9428 0.000 1.000 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.9428 0.000 1.000 0.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.0336 0.9258 0.992 0.000 0.000 0.008
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.9428 0.000 1.000 0.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 2 0.0336 0.9366 0.008 0.992 0.000 0.000
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 4 0.3837 0.6283 0.000 0.000 0.224 0.776
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.0188 0.9273 0.996 0.000 0.000 0.004
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 4 0.2345 0.7553 0.000 0.100 0.000 0.900
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.9428 0.000 1.000 0.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.3123 0.7846 0.844 0.156 0.000 0.000
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 4 0.4804 0.3645 0.000 0.000 0.384 0.616
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.1867 0.8258 0.000 0.000 0.928 0.072
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 3 0.2174 0.8187 0.052 0.000 0.928 0.020
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.0707 0.9207 0.980 0.000 0.000 0.020
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.2647 0.8254 0.880 0.120 0.000 0.000
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.0817 0.9172 0.976 0.000 0.024 0.000
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.1637 0.8920 0.940 0.000 0.060 0.000
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 3 0.3266 0.6821 0.168 0.000 0.832 0.000
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 3 0.0817 0.8434 0.000 0.000 0.976 0.024
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.0657 0.9229 0.984 0.000 0.004 0.012
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 4 0.0336 0.7659 0.000 0.008 0.000 0.992
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 4 0.2647 0.7430 0.000 0.120 0.000 0.880
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 2 0.0592 0.9339 0.000 0.984 0.016 0.000
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 2 0.5193 0.3350 0.008 0.580 0.412 0.000
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 3 0.0592 0.8426 0.016 0.000 0.984 0.000
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 4 0.1284 0.7678 0.024 0.012 0.000 0.964
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.0000 0.9284 1.000 0.000 0.000 0.000
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.0336 0.9388 0.000 0.992 0.008 0.000
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#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 2 0.4999 0.7101 0.100 0.792 0.012 0.096
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.0592 0.8441 0.000 0.000 0.984 0.016
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.2222 0.8295 0.016 0.000 0.924 0.060
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0188 0.9273 0.996 0.000 0.000 0.004
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0188 0.9272 0.996 0.000 0.004 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9428 0.000 1.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9428 0.000 1.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 4 0.2281 0.7422 0.000 0.000 0.096 0.904
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 3 0.1520 0.8397 0.024 0.000 0.956 0.020
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0188 0.9272 0.996 0.000 0.004 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.9284 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.1117 0.82783 0.000 0.016 0.000 0.964 0.020
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0671 0.91661 0.000 0.000 0.980 0.016 0.004
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 5 0.5253 0.61509 0.000 0.020 0.304 0.036 0.640
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 5 0.4402 0.58341 0.000 0.008 0.292 0.012 0.688
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.91613 0.000 1.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 4 0.5492 0.47855 0.312 0.000 0.076 0.608 0.004
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.4576 0.39800 0.608 0.000 0.000 0.016 0.376
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0290 0.94127 0.992 0.000 0.000 0.000 0.008
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.1270 0.91939 0.000 0.000 0.948 0.052 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.4383 0.22540 0.000 0.572 0.004 0.424 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 5 0.1205 0.84069 0.000 0.000 0.040 0.004 0.956
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.1732 0.91374 0.000 0.000 0.920 0.080 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0798 0.92037 0.016 0.000 0.976 0.008 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0451 0.93987 0.988 0.000 0.000 0.004 0.008
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.1965 0.88760 0.096 0.000 0.904 0.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.91613 0.000 1.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0162 0.94285 0.996 0.000 0.000 0.000 0.004
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.2536 0.83953 0.868 0.000 0.000 0.004 0.128
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.1478 0.91847 0.000 0.000 0.936 0.064 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0963 0.92498 0.964 0.000 0.036 0.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.2426 0.90770 0.000 0.000 0.900 0.064 0.036
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.2020 0.88401 0.100 0.000 0.900 0.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.91613 0.000 1.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.91613 0.000 1.000 0.000 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 4 0.4503 0.57110 0.256 0.000 0.040 0.704 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0510 0.93718 0.984 0.000 0.016 0.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.91613 0.000 1.000 0.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 5 0.4632 0.37743 0.004 0.376 0.000 0.012 0.608
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.6137 0.51926 0.644 0.240 0.064 0.036 0.016
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.1412 0.88968 0.000 0.952 0.008 0.036 0.004
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0162 0.94276 0.996 0.000 0.004 0.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 4 0.3177 0.72424 0.000 0.208 0.000 0.792 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.2079 0.91955 0.020 0.000 0.916 0.064 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.2179 0.89681 0.000 0.000 0.888 0.112 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.3535 0.80817 0.832 0.000 0.000 0.080 0.088
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.2300 0.91730 0.040 0.000 0.908 0.052 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0162 0.94276 0.996 0.000 0.004 0.000 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.91613 0.000 1.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0794 0.91876 0.000 0.000 0.972 0.028 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.1357 0.83583 0.000 0.048 0.004 0.948 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.2316 0.86423 0.000 0.916 0.036 0.036 0.012
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.2110 0.91360 0.000 0.000 0.912 0.072 0.016
#> F941890E-AB33-478F-8C97-1C785DD9428F 5 0.0566 0.84147 0.000 0.000 0.004 0.012 0.984
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 5 0.2956 0.73133 0.140 0.000 0.004 0.008 0.848
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.2561 0.90065 0.000 0.000 0.884 0.096 0.020
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.1915 0.86996 0.000 0.000 0.928 0.032 0.040
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 4 0.1282 0.81376 0.044 0.004 0.000 0.952 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0740 0.90761 0.000 0.980 0.008 0.008 0.004
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.5353 -0.11094 0.476 0.052 0.000 0.472 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 4 0.1341 0.80813 0.000 0.000 0.056 0.944 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.91613 0.000 1.000 0.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.2260 0.85076 0.000 0.000 0.908 0.028 0.064
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 3 0.2280 0.86226 0.120 0.000 0.880 0.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0566 0.91557 0.000 0.000 0.984 0.012 0.004
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 4 0.2648 0.77536 0.000 0.152 0.000 0.848 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.4304 0.00762 0.516 0.000 0.484 0.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.1997 0.92050 0.040 0.000 0.924 0.036 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 4 0.5941 0.36187 0.332 0.000 0.000 0.544 0.124
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0609 0.93504 0.980 0.000 0.020 0.000 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.91613 0.000 1.000 0.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.0671 0.91661 0.000 0.000 0.980 0.016 0.004
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.1299 0.82484 0.000 0.012 0.008 0.960 0.020
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 2 0.6587 0.18254 0.000 0.524 0.104 0.036 0.336
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0290 0.94154 0.992 0.000 0.008 0.000 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.1638 0.89644 0.932 0.004 0.064 0.000 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.3336 0.68232 0.772 0.000 0.228 0.000 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 4 0.3550 0.68273 0.000 0.236 0.004 0.760 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.2707 0.79674 0.000 0.860 0.008 0.132 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.0740 0.90697 0.004 0.000 0.980 0.008 0.008
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 3 0.2074 0.88016 0.104 0.000 0.896 0.000 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.4450 0.00421 0.000 0.508 0.004 0.488 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.1908 0.90941 0.000 0.000 0.908 0.092 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 5 0.3196 0.68767 0.000 0.000 0.004 0.192 0.804
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 4 0.1444 0.82064 0.000 0.012 0.000 0.948 0.040
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.0693 0.93488 0.980 0.008 0.000 0.012 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.1732 0.91374 0.000 0.000 0.920 0.080 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 5 0.2344 0.82925 0.000 0.000 0.064 0.032 0.904
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.91613 0.000 1.000 0.000 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.91613 0.000 1.000 0.000 0.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 4 0.4150 0.40591 0.388 0.000 0.000 0.612 0.000
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.91613 0.000 1.000 0.000 0.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 2 0.0693 0.90682 0.008 0.980 0.000 0.012 0.000
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.1544 0.91721 0.000 0.000 0.932 0.068 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.0963 0.92337 0.964 0.000 0.036 0.000 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 4 0.1408 0.83609 0.000 0.044 0.008 0.948 0.000
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.91613 0.000 1.000 0.000 0.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.2361 0.84991 0.892 0.096 0.000 0.012 0.000
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.0609 0.91730 0.000 0.000 0.980 0.020 0.000
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.3242 0.78496 0.000 0.000 0.816 0.012 0.172
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 5 0.1173 0.83534 0.020 0.000 0.004 0.012 0.964
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.0510 0.93747 0.984 0.000 0.016 0.000 0.000
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.1484 0.90413 0.944 0.048 0.000 0.008 0.000
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.1792 0.88101 0.916 0.000 0.084 0.000 0.000
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.3957 0.60641 0.712 0.000 0.008 0.000 0.280
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 5 0.0566 0.84147 0.000 0.000 0.004 0.012 0.984
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.0609 0.93467 0.980 0.000 0.000 0.000 0.020
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 4 0.1408 0.81786 0.000 0.008 0.044 0.948 0.000
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 4 0.1408 0.83609 0.000 0.044 0.008 0.948 0.000
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 2 0.3564 0.77625 0.000 0.820 0.008 0.024 0.148
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 2 0.5267 0.65657 0.000 0.732 0.120 0.036 0.112
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 5 0.1106 0.84001 0.024 0.000 0.012 0.000 0.964
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 4 0.1408 0.81786 0.000 0.008 0.044 0.948 0.000
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.1243 0.89512 0.000 0.960 0.008 0.028 0.004
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 3 0.1168 0.91453 0.032 0.000 0.960 0.000 0.008
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.0000 0.91613 0.000 1.000 0.000 0.000 0.000
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0000 0.91613 0.000 1.000 0.000 0.000 0.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.2052 0.88176 0.912 0.004 0.000 0.004 0.080
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0000 0.91613 0.000 1.000 0.000 0.000 0.000
#> 9492A322-37CA-4582-AC68-66B5D80778AF 2 0.1831 0.86146 0.000 0.920 0.004 0.076 0.000
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#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0162 0.91455 0.000 0.996 0.000 0.004 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 5 0.0566 0.84147 0.000 0.000 0.004 0.012 0.984
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.6212 0.40461 0.600 0.000 0.092 0.036 0.272
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 5 0.3394 0.73615 0.020 0.152 0.000 0.004 0.824
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.2020 0.90430 0.000 0.000 0.900 0.100 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.1934 0.88795 0.004 0.052 0.928 0.016 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 5 0.0566 0.84147 0.000 0.000 0.004 0.012 0.984
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.3705 0.75258 0.012 0.000 0.788 0.008 0.192
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0162 0.94285 0.996 0.000 0.000 0.000 0.004
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0703 0.93304 0.976 0.000 0.024 0.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.91613 0.000 1.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.91613 0.000 1.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.1965 0.90667 0.000 0.000 0.904 0.096 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 5 0.0566 0.84147 0.000 0.000 0.004 0.012 0.984
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.94425 1.000 0.000 0.000 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.2941 0.68374 0.000 0.000 0.000 0.780 0.220 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0260 0.97489 0.000 0.000 0.992 0.000 0.008 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 5 0.5877 -0.24677 0.000 0.000 0.200 0.000 0.428 0.372
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.86105 1.000 0.000 0.000 0.000 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.1957 0.79513 0.888 0.000 0.000 0.000 0.112 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.3782 0.33295 0.588 0.000 0.000 0.000 0.412 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 6 0.4977 0.42623 0.000 0.084 0.300 0.000 0.004 0.612
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.89841 0.000 1.000 0.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.3404 0.25167 0.016 0.000 0.000 0.224 0.760 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.3098 0.73979 0.836 0.000 0.000 0.040 0.004 0.120
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.3136 0.65959 0.768 0.000 0.000 0.004 0.228 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0146 0.86106 0.996 0.000 0.000 0.000 0.004 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.97651 0.000 0.000 1.000 0.000 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.4052 0.41304 0.000 0.628 0.000 0.356 0.016 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 6 0.0146 0.75314 0.000 0.000 0.000 0.000 0.004 0.996
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.97651 0.000 0.000 1.000 0.000 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0146 0.97628 0.004 0.000 0.996 0.000 0.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.2234 0.78022 0.872 0.000 0.000 0.004 0.124 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.2219 0.77932 0.864 0.000 0.000 0.000 0.136 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0260 0.97504 0.008 0.000 0.992 0.000 0.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.89841 0.000 1.000 0.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0260 0.86101 0.992 0.000 0.000 0.000 0.008 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0146 0.86106 0.996 0.000 0.000 0.000 0.004 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.4764 0.42935 0.628 0.000 0.000 0.000 0.080 0.292
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0260 0.97489 0.000 0.000 0.992 0.000 0.008 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.1267 0.84238 0.940 0.000 0.000 0.000 0.060 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.0260 0.97508 0.000 0.000 0.992 0.000 0.000 0.008
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.0363 0.97264 0.012 0.000 0.988 0.000 0.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.89841 0.000 1.000 0.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0146 0.89694 0.000 0.996 0.000 0.000 0.004 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.3081 0.67169 0.776 0.000 0.000 0.004 0.220 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 4 0.4930 0.22432 0.052 0.000 0.004 0.496 0.448 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.86105 1.000 0.000 0.000 0.000 0.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0692 0.85543 0.976 0.000 0.020 0.000 0.004 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.89841 0.000 1.000 0.000 0.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 2 0.3403 0.66719 0.020 0.768 0.000 0.000 0.000 0.212
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.0405 0.42755 0.008 0.000 0.000 0.000 0.988 0.004
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.89841 0.000 1.000 0.000 0.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0405 0.86066 0.988 0.000 0.000 0.000 0.004 0.008
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0146 0.86106 0.996 0.000 0.000 0.000 0.004 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 4 0.1556 0.75726 0.000 0.080 0.000 0.920 0.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0260 0.97504 0.008 0.000 0.992 0.000 0.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0260 0.97391 0.000 0.000 0.992 0.008 0.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.1313 0.84234 0.952 0.000 0.000 0.028 0.004 0.016
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.0260 0.97504 0.008 0.000 0.992 0.000 0.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0260 0.86101 0.992 0.000 0.000 0.000 0.008 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.3950 0.26310 0.564 0.000 0.000 0.004 0.432 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.89841 0.000 1.000 0.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0260 0.97489 0.000 0.000 0.992 0.000 0.008 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.0405 0.81104 0.000 0.000 0.004 0.988 0.008 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0551 0.85762 0.984 0.000 0.004 0.008 0.004 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.3975 0.31038 0.000 0.544 0.000 0.000 0.452 0.004
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0146 0.97602 0.004 0.000 0.996 0.000 0.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 6 0.0000 0.75367 0.000 0.000 0.000 0.000 0.000 1.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.3695 0.36484 0.624 0.000 0.000 0.000 0.000 0.376
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.0692 0.96660 0.000 0.000 0.976 0.004 0.000 0.020
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.2199 0.88986 0.000 0.000 0.892 0.000 0.088 0.020
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 4 0.3634 0.48394 0.000 0.000 0.000 0.644 0.356 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0260 0.89490 0.000 0.992 0.000 0.000 0.008 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0291 0.85988 0.992 0.000 0.004 0.000 0.004 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.2178 0.78777 0.868 0.000 0.000 0.000 0.132 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 4 0.4873 0.27568 0.060 0.000 0.000 0.520 0.420 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 4 0.0458 0.80672 0.000 0.000 0.016 0.984 0.000 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.1333 0.84179 0.944 0.000 0.000 0.000 0.048 0.008
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.89841 0.000 1.000 0.000 0.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.1498 0.93887 0.000 0.000 0.940 0.000 0.028 0.032
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0291 0.85988 0.992 0.000 0.004 0.000 0.004 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 3 0.1444 0.90174 0.072 0.000 0.928 0.000 0.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0260 0.97489 0.000 0.000 0.992 0.000 0.008 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 4 0.0777 0.80253 0.000 0.024 0.000 0.972 0.004 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0260 0.86099 0.992 0.000 0.000 0.000 0.008 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.3847 0.16660 0.544 0.000 0.456 0.000 0.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.0000 0.97651 0.000 0.000 1.000 0.000 0.000 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0000 0.86105 1.000 0.000 0.000 0.000 0.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 4 0.4441 0.30352 0.344 0.000 0.000 0.620 0.004 0.032
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.2048 0.79610 0.880 0.000 0.000 0.000 0.120 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.1285 0.84224 0.944 0.000 0.004 0.000 0.052 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.89841 0.000 1.000 0.000 0.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.0405 0.97346 0.000 0.000 0.988 0.000 0.008 0.004
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.0146 0.81114 0.000 0.000 0.004 0.996 0.000 0.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.1910 0.80282 0.892 0.000 0.000 0.000 0.108 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 5 0.5886 0.05341 0.000 0.272 0.004 0.000 0.504 0.220
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.1910 0.80576 0.892 0.000 0.000 0.000 0.108 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0146 0.86106 0.996 0.000 0.000 0.000 0.004 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.86105 1.000 0.000 0.000 0.000 0.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.1714 0.79209 0.908 0.000 0.092 0.000 0.000 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.0547 0.85635 0.980 0.000 0.020 0.000 0.000 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 4 0.1845 0.78891 0.000 0.028 0.000 0.920 0.052 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.3737 0.35739 0.000 0.608 0.000 0.392 0.000 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.0405 0.97565 0.004 0.000 0.988 0.000 0.008 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0146 0.86106 0.996 0.000 0.000 0.000 0.004 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 3 0.0363 0.97264 0.012 0.000 0.988 0.000 0.000 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 4 0.4127 0.49021 0.000 0.284 0.000 0.680 0.036 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.0000 0.97651 0.000 0.000 1.000 0.000 0.000 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 5 0.4086 0.00566 0.464 0.000 0.000 0.008 0.528 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0146 0.86106 0.996 0.000 0.000 0.000 0.004 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 6 0.3923 0.23460 0.000 0.000 0.000 0.416 0.004 0.580
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 4 0.0000 0.81095 0.000 0.000 0.000 1.000 0.000 0.000
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 5 0.4893 0.19325 0.400 0.000 0.000 0.064 0.536 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.0000 0.97651 0.000 0.000 1.000 0.000 0.000 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 6 0.3446 0.55503 0.000 0.000 0.000 0.000 0.308 0.692
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.89841 0.000 1.000 0.000 0.000 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.89841 0.000 1.000 0.000 0.000 0.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.0000 0.86105 1.000 0.000 0.000 0.000 0.000 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 5 0.4469 -0.23483 0.028 0.000 0.000 0.468 0.504 0.000
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.89841 0.000 1.000 0.000 0.000 0.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 2 0.0260 0.89386 0.000 0.992 0.000 0.008 0.000 0.000
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.0000 0.97651 0.000 0.000 1.000 0.000 0.000 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.1196 0.84433 0.952 0.000 0.040 0.000 0.008 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 4 0.1219 0.80057 0.000 0.000 0.004 0.948 0.048 0.000
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.89841 0.000 1.000 0.000 0.000 0.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.4594 0.00888 0.484 0.000 0.000 0.036 0.480 0.000
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.0260 0.97489 0.000 0.000 0.992 0.000 0.008 0.000
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.1267 0.93540 0.000 0.000 0.940 0.000 0.000 0.060
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 6 0.0972 0.74719 0.028 0.000 0.000 0.000 0.008 0.964
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.0291 0.86114 0.992 0.000 0.004 0.000 0.004 0.000
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.3695 0.41040 0.624 0.000 0.000 0.000 0.376 0.000
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 5 0.4018 0.17312 0.412 0.000 0.000 0.008 0.580 0.000
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.0146 0.86106 0.996 0.000 0.000 0.000 0.004 0.000
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.0000 0.86105 1.000 0.000 0.000 0.000 0.000 0.000
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.1141 0.83183 0.948 0.000 0.052 0.000 0.000 0.000
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.3886 0.54089 0.708 0.000 0.000 0.000 0.028 0.264
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 6 0.0000 0.75367 0.000 0.000 0.000 0.000 0.000 1.000
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.1194 0.84292 0.956 0.000 0.008 0.000 0.004 0.032
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 4 0.0146 0.81114 0.000 0.000 0.004 0.996 0.000 0.000
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 4 0.1858 0.78094 0.000 0.000 0.004 0.904 0.092 0.000
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 2 0.6041 0.01793 0.000 0.400 0.000 0.000 0.344 0.256
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#> FAD8A464-9BC3-4ED9-9517-B18D36514325 4 0.0632 0.80754 0.000 0.000 0.000 0.976 0.024 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0363 0.86051 0.988 0.000 0.000 0.000 0.012 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.3547 0.39743 0.668 0.000 0.332 0.000 0.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0146 0.86055 0.996 0.000 0.004 0.000 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0146 0.89694 0.000 0.996 0.000 0.000 0.004 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 4 0.4092 0.48418 0.000 0.000 0.000 0.636 0.344 0.020
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 6 0.3163 0.62472 0.000 0.000 0.004 0.000 0.232 0.764
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 6 0.0000 0.75367 0.000 0.000 0.000 0.000 0.000 1.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.3852 0.36208 0.000 0.612 0.000 0.004 0.384 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.0508 0.97459 0.004 0.000 0.984 0.000 0.012 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 4 0.2092 0.71180 0.000 0.000 0.124 0.876 0.000 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.86105 1.000 0.000 0.000 0.000 0.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0146 0.86106 0.996 0.000 0.000 0.000 0.004 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.5803 0.01529 0.000 0.444 0.000 0.372 0.184 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.86105 1.000 0.000 0.000 0.000 0.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.0146 0.81114 0.000 0.000 0.004 0.996 0.000 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 4 0.4072 0.40153 0.292 0.000 0.004 0.684 0.004 0.016
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 6 0.4062 0.37927 0.000 0.000 0.008 0.000 0.440 0.552
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 6 0.1780 0.72845 0.000 0.000 0.048 0.028 0.000 0.924
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.89841 0.000 1.000 0.000 0.000 0.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 6 0.0405 0.75313 0.008 0.000 0.000 0.000 0.004 0.988
#> 6752EED9-7990-433F-A206-D5398C396471 5 0.5696 0.11721 0.396 0.000 0.000 0.000 0.444 0.160
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 6 0.2842 0.70855 0.040 0.048 0.000 0.004 0.028 0.880
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.97651 0.000 0.000 1.000 0.000 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.0622 0.96964 0.000 0.012 0.980 0.000 0.008 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 6 0.0000 0.75367 0.000 0.000 0.000 0.000 0.000 1.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.1082 0.95166 0.004 0.000 0.956 0.000 0.000 0.040
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0146 0.86062 0.996 0.000 0.000 0.000 0.004 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.1204 0.84305 0.944 0.000 0.000 0.000 0.056 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.89841 0.000 1.000 0.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.89841 0.000 1.000 0.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.97651 0.000 0.000 1.000 0.000 0.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 6 0.1564 0.73361 0.024 0.000 0.000 0.000 0.040 0.936
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.3607 0.47807 0.652 0.000 0.000 0.000 0.348 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.1082 0.84596 0.956 0.000 0.000 0.004 0.040 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", "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 17469 rows and 309 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 0.407 0.742 0.867 0.3639 0.667 0.667
#> 3 3 0.291 0.531 0.749 0.5793 0.617 0.467
#> 4 4 0.345 0.478 0.693 0.1365 0.772 0.522
#> 5 5 0.452 0.473 0.674 0.0834 0.759 0.446
#> 6 6 0.522 0.452 0.674 0.0455 0.882 0.684
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.9922 0.3143 0.552 0.448
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 2 0.0376 0.8310 0.004 0.996
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.9129 0.6191 0.672 0.328
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.1633 0.8429 0.976 0.024
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.1184 0.8417 0.984 0.016
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.7219 0.7680 0.800 0.200
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.9358 0.5645 0.648 0.352
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 1 0.0000 0.8376 1.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.9323 0.5851 0.652 0.348
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.7219 0.7697 0.800 0.200
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.3274 0.8429 0.940 0.060
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.4939 0.8312 0.892 0.108
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.5842 0.8128 0.860 0.140
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 1 0.0000 0.8376 1.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 2 0.0000 0.8313 0.000 1.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.9580 0.5212 0.620 0.380
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 2 0.6973 0.7488 0.188 0.812
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.2778 0.8438 0.952 0.048
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 2 0.9775 0.2551 0.412 0.588
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.1184 0.8415 0.984 0.016
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 1 0.0000 0.8376 1.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.5408 0.8236 0.876 0.124
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.4562 0.8352 0.904 0.096
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.3733 0.8412 0.928 0.072
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.9996 0.2018 0.512 0.488
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 2 0.6531 0.7645 0.168 0.832
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.9460 0.5542 0.636 0.364
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.9795 0.4376 0.584 0.416
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 1 0.0000 0.8376 1.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 1 0.0000 0.8376 1.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.8376 1.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.8376 1.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.8376 1.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.9881 0.3814 0.564 0.436
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 1 0.7674 0.7398 0.776 0.224
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.2603 0.8439 0.956 0.044
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.9393 0.5634 0.644 0.356
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.7815 0.6952 0.232 0.768
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.5737 0.8153 0.864 0.136
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.9983 0.2443 0.524 0.476
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 1 0.0000 0.8376 1.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.2948 0.8437 0.948 0.052
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.9608 0.5136 0.616 0.384
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.4690 0.8344 0.900 0.100
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.9522 0.5387 0.628 0.372
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.9580 0.5216 0.620 0.380
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.2948 0.8433 0.948 0.052
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 1 0.0000 0.8376 1.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.9427 0.5617 0.640 0.360
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 1 0.0000 0.8376 1.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.3114 0.8435 0.944 0.056
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.7815 0.6952 0.232 0.768
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.9491 0.5457 0.632 0.368
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.2236 0.8439 0.964 0.036
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.5737 0.8153 0.864 0.136
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.3879 0.8419 0.924 0.076
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 2 0.0000 0.8313 0.000 1.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.0000 0.8376 1.000 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 1 0.9977 0.2153 0.528 0.472
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.3114 0.8429 0.944 0.056
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.3879 0.8407 0.924 0.076
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.0000 0.8376 1.000 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.3274 0.8426 0.940 0.060
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.4161 0.8390 0.916 0.084
#> 131213AD-0313-4DF1-B013-CE67ED262C37 1 0.0000 0.8376 1.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 2 0.0000 0.8313 0.000 1.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.3584 0.8414 0.932 0.068
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.6148 0.8067 0.848 0.152
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 2 0.0376 0.8310 0.004 0.996
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 1 0.0000 0.8376 1.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 2 0.4690 0.8048 0.100 0.900
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 2 0.8386 0.6379 0.268 0.732
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.9522 0.5375 0.628 0.372
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.6048 0.8108 0.852 0.148
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.4939 0.8312 0.892 0.108
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.8327 0.7026 0.736 0.264
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.3879 0.8406 0.924 0.076
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 1 0.0000 0.8376 1.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 2 0.4431 0.8079 0.092 0.908
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.9775 0.2937 0.412 0.588
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.9087 0.6211 0.676 0.324
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 2 0.0000 0.8313 0.000 1.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 2 0.5294 0.7946 0.120 0.880
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.5519 0.8194 0.872 0.128
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.5519 0.8194 0.872 0.128
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.0000 0.8376 1.000 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.0376 0.8389 0.996 0.004
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 1 0.0000 0.8376 1.000 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.7815 0.6952 0.232 0.768
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#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.4298 0.8376 0.912 0.088
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.5178 0.8253 0.884 0.116
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 1 0.0000 0.8376 1.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.0000 0.8376 1.000 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 2 0.0000 0.8313 0.000 1.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.5178 0.8258 0.884 0.116
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 1 0.0000 0.8376 1.000 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 2 0.6973 0.7489 0.188 0.812
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.5842 0.8076 0.860 0.140
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0376 0.8384 0.996 0.004
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.8909 0.6462 0.692 0.308
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 1 0.0000 0.8376 1.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.5408 0.8233 0.876 0.124
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 1 0.3584 0.8392 0.932 0.068
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.4562 0.8357 0.904 0.096
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 2 0.0000 0.8313 0.000 1.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.5737 0.8153 0.864 0.136
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.0000 0.8376 1.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0672 0.8399 0.992 0.008
#> 6752EED9-7990-433F-A206-D5398C396471 2 0.0000 0.8313 0.000 1.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.2778 0.8434 0.952 0.048
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.9635 0.5043 0.612 0.388
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.8327 0.7043 0.736 0.264
#> 1ABBEF80-508F-4247-B43D-3E549372113B 2 0.8081 0.6783 0.248 0.752
#> 835AAE7F-F873-4D11-8845-232D261A38DF 2 0.4431 0.8079 0.092 0.908
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0376 0.8384 0.996 0.004
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 2 0.0000 0.8313 0.000 1.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 1 0.1184 0.8411 0.984 0.016
#> 26DABC83-DB30-452F-9BE2-366760CB138E 1 0.6048 0.8019 0.852 0.148
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 2 0.7219 0.7357 0.200 0.800
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.2603 0.8436 0.956 0.044
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 2 0.8386 0.6425 0.268 0.732
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.8376 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.6954 0.41058 0.720 0.084 0.196
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.4796 0.82504 0.220 0.000 0.780
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.4636 0.65920 0.848 0.116 0.036
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 2 0.5988 0.53358 0.368 0.632 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 2 0.5431 0.65834 0.284 0.716 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.5138 0.53118 0.748 0.252 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.4807 0.61209 0.848 0.060 0.092
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.2496 0.74153 0.068 0.928 0.004
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.3370 0.67117 0.904 0.072 0.024
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.5692 0.50723 0.724 0.268 0.008
#> B710293C-41D3-4A2E-8104-5402F91DD859 2 0.6302 0.22290 0.480 0.520 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.6140 0.23200 0.596 0.404 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.6359 0.35032 0.628 0.364 0.008
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0237 0.72909 0.004 0.996 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.4062 0.83803 0.164 0.000 0.836
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.2187 0.64906 0.948 0.028 0.024
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.6302 -0.41740 0.520 0.000 0.480
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 2 0.6140 0.44754 0.404 0.596 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.5803 0.32693 0.736 0.016 0.248
#> C204D355-B876-4341-A111-36D48CBDD2A8 2 0.5529 0.64103 0.296 0.704 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.3965 0.75065 0.132 0.860 0.008
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.6180 0.19209 0.584 0.416 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.6244 0.10430 0.560 0.440 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.6267 0.05186 0.548 0.452 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.4059 0.53416 0.860 0.012 0.128
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 3 0.6305 0.49398 0.484 0.000 0.516
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.2527 0.66228 0.936 0.044 0.020
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.2651 0.61549 0.928 0.012 0.060
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.1643 0.74028 0.044 0.956 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0424 0.73117 0.008 0.992 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 2 0.4002 0.74949 0.160 0.840 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 2 0.3686 0.75109 0.140 0.860 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 2 0.3816 0.74936 0.148 0.852 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.2866 0.60438 0.916 0.008 0.076
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 1 0.5524 0.59459 0.796 0.164 0.040
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 2 0.6307 0.20234 0.488 0.512 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.4479 0.66240 0.860 0.096 0.044
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 3 0.7919 0.56250 0.380 0.064 0.556
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.5810 0.39302 0.664 0.336 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.4209 0.55521 0.860 0.020 0.120
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.72660 0.000 1.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 2 0.6274 0.30650 0.456 0.544 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.2318 0.64701 0.944 0.028 0.028
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.6192 0.18370 0.580 0.420 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.2434 0.65639 0.940 0.036 0.024
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.1905 0.65114 0.956 0.028 0.016
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 2 0.6274 0.30108 0.456 0.544 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.72660 0.000 1.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.2846 0.66672 0.924 0.056 0.020
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.1529 0.73944 0.040 0.960 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 2 0.6274 0.30817 0.456 0.544 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 3 0.7919 0.56250 0.380 0.064 0.556
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.2031 0.65746 0.952 0.032 0.016
#> F941890E-AB33-478F-8C97-1C785DD9428F 2 0.6079 0.48788 0.388 0.612 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.5810 0.39302 0.664 0.336 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.6267 0.05014 0.548 0.452 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.1529 0.82261 0.040 0.000 0.960
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 2 0.3686 0.75109 0.140 0.860 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 1 0.7596 0.33695 0.672 0.100 0.228
#> A22892DE-0AF4-4B63-9513-1D6825059040 2 0.6280 0.28706 0.460 0.540 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.6260 0.06571 0.552 0.448 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 2 0.3941 0.75034 0.156 0.844 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 2 0.6308 0.17505 0.492 0.508 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.6225 0.13355 0.568 0.432 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.1529 0.74064 0.040 0.960 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.1529 0.82261 0.040 0.000 0.960
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 2 0.6305 0.20334 0.484 0.516 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.5650 0.44121 0.688 0.312 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.4931 0.81840 0.232 0.000 0.768
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0237 0.72909 0.004 0.996 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 3 0.6180 0.62922 0.416 0.000 0.584
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.6111 -0.17065 0.604 0.000 0.396
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.2176 0.65497 0.948 0.032 0.020
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.6275 0.36961 0.644 0.348 0.008
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.6154 0.22359 0.592 0.408 0.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.4110 0.62775 0.844 0.152 0.004
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.6260 0.06225 0.552 0.448 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.3030 0.73139 0.092 0.904 0.004
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.5926 0.71674 0.356 0.000 0.644
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 1 0.8440 -0.18099 0.492 0.088 0.420
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.3293 0.66390 0.900 0.088 0.012
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.1529 0.82261 0.040 0.000 0.960
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 3 0.6168 0.63076 0.412 0.000 0.588
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.5859 0.37639 0.656 0.344 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.5859 0.37639 0.656 0.344 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 2 0.4235 0.74198 0.176 0.824 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 2 0.4887 0.71222 0.228 0.772 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0237 0.72909 0.004 0.996 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 3 0.7919 0.56250 0.380 0.064 0.556
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 1 0.4519 0.65802 0.852 0.116 0.032
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.4968 0.60800 0.800 0.188 0.012
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.4047 0.63104 0.848 0.148 0.004
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.1289 0.73608 0.032 0.968 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.1919 0.64802 0.956 0.024 0.020
#> D587A993-3C47-4D4C-B744-59169D4F7451 2 0.3686 0.75109 0.140 0.860 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 2 0.3816 0.74936 0.148 0.852 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 2 0.6307 0.20234 0.488 0.512 0.000
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 2 0.6154 0.43523 0.408 0.592 0.000
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.5859 0.38663 0.656 0.344 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 1 0.2527 0.66228 0.936 0.044 0.020
#> 00439565-02CE-4BF5-956D-7078B51C0947 3 0.3619 0.83746 0.136 0.000 0.864
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.1643 0.74028 0.044 0.956 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.2496 0.74153 0.068 0.928 0.004
#> D9096909-1439-462D-B69C-CAD1BF4F420C 2 0.5785 0.59258 0.332 0.668 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.5012 0.58922 0.788 0.204 0.008
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.1753 0.74035 0.048 0.952 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 2 0.2878 0.75376 0.096 0.904 0.000
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 1 0.4342 0.56539 0.856 0.024 0.120
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.6225 0.12487 0.568 0.432 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 2 0.6849 0.49615 0.380 0.600 0.020
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.72660 0.000 1.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 2 0.1643 0.74482 0.044 0.956 0.000
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.4796 0.82504 0.220 0.000 0.780
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.4750 0.82652 0.216 0.000 0.784
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 2 0.6260 0.34097 0.448 0.552 0.000
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.2527 0.63986 0.936 0.020 0.044
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 3 0.5706 0.74670 0.320 0.000 0.680
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 2 0.5016 0.70174 0.240 0.760 0.000
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 2 0.4504 0.73230 0.196 0.804 0.000
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 2 0.3816 0.74936 0.148 0.852 0.000
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 3 0.6309 0.45896 0.496 0.000 0.504
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.6460 -0.32129 0.556 0.004 0.440
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 1 0.5115 0.61070 0.796 0.188 0.016
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.5905 0.36406 0.648 0.352 0.000
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 2 0.6082 0.64396 0.296 0.692 0.012
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 2 0.6849 0.49615 0.380 0.600 0.020
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 1 0.7388 0.39658 0.692 0.100 0.208
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.6302 -0.07349 0.520 0.480 0.000
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 3 0.1529 0.82261 0.040 0.000 0.960
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 3 0.3816 0.83916 0.148 0.000 0.852
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 1 0.6235 0.12609 0.564 0.436 0.000
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 2 0.3816 0.74936 0.148 0.852 0.000
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 3 0.7919 0.56250 0.380 0.064 0.556
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 1 0.6267 -0.33610 0.548 0.000 0.452
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 1 0.5573 0.59636 0.796 0.160 0.044
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0000 0.72660 0.000 1.000 0.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 2 0.6244 0.35192 0.440 0.560 0.000
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0000 0.72660 0.000 1.000 0.000
#> 9492A322-37CA-4582-AC68-66B5D80778AF 2 0.0000 0.72660 0.000 1.000 0.000
#> 993399A4-1B9F-4258-B2D0-155AD58A2E82 2 0.6267 0.31340 0.452 0.548 0.000
#> 7B7DC93D-5494-4E69-BE07-2967887182F9 3 0.4062 0.83803 0.164 0.000 0.836
#> 29BCBA51-2580-473D-9CF7-BEDBD0DBAD1B 2 0.0000 0.72660 0.000 1.000 0.000
#> 40855647-E942-4F32-90B7-BEB921929BFB 1 0.2414 0.63982 0.940 0.020 0.040
#> 0DC723D0-7C68-4495-A4B9-2DF2FF19AB14 2 0.6849 0.49615 0.380 0.600 0.020
#> 7540005F-57E0-4E2E-A8A2-BEF2B0F333B1 2 0.2486 0.74013 0.060 0.932 0.008
#> EB1DDB14-4076-4C2C-B911-390C17C21486 3 0.3816 0.83916 0.148 0.000 0.852
#> 9EA70EC4-8BA0-4E3D-B3CB-A68D19E89868 1 0.6451 -0.31078 0.560 0.004 0.436
#> B04E2E50-0A6E-4224-A825-1714D12E5669 3 0.1529 0.82261 0.040 0.000 0.960
#> B0BF5E01-536D-40FF-9C24-CBBD611E2FC2 3 0.1529 0.82261 0.040 0.000 0.960
#> 7B6B1788-B297-4442-B6BE-B7CE8754491E 1 0.6333 0.09775 0.656 0.012 0.332
#> A090D00C-34DF-4906-A517-4803C4C9A332 1 0.2063 0.62987 0.948 0.008 0.044
#> 340D44A6-9BEA-412C-9973-D9ABD6692255 1 0.3349 0.65153 0.888 0.108 0.004
#> E8D0D1E7-E5A8-4014-80C1-0245F90F4358 2 0.0237 0.72909 0.004 0.996 0.000
#> 19EA1494-8572-40E1-B9BB-3739F47B607D 1 0.5650 0.44121 0.688 0.312 0.000
#> 1C1B4793-8DAF-4763-BA4D-C4E869A4ED35 2 0.4002 0.75086 0.160 0.840 0.000
#> 45BF59B3-95BD-4196-ABAA-4C4F0DB38572 3 0.1529 0.82261 0.040 0.000 0.960
#> 47B5A2A7-7E13-4558-99D2-067F5075C6A4 2 0.6274 0.29596 0.456 0.544 0.000
#> E94638E8-CB51-4FBB-8BCB-4BFD7A812291 2 0.3752 0.75002 0.144 0.856 0.000
#> A17352A8-0D3C-4545-8136-7DAE2FB0E102 1 0.7944 0.14613 0.616 0.088 0.296
#> B18A6F95-D4ED-416B-B5A1-9A4934865D0D 2 0.3965 0.75065 0.132 0.860 0.008
#> 33E92C5F-0C42-4549-AD5B-0A064182A272 1 0.6215 0.13905 0.572 0.428 0.000
#> E041B375-3E60-4F18-A6EF-D1C249E3B8EE 1 0.2998 0.67022 0.916 0.068 0.016
#> EDF90AF6-6C64-4BD2-AADF-8D7D188650B2 2 0.6529 0.35464 0.368 0.620 0.012
#> 569320D2-316C-4E2D-B7B3-D7D5C4DAD42D 1 0.5529 0.46461 0.704 0.296 0.000
#> AFFB223D-DAE9-4567-9EF2-8E4DF9D8782D 1 0.5791 0.60001 0.792 0.148 0.060
#> 56FC9454-0A6A-4CC3-95C4-BE0E0D0BAFCE 2 0.0000 0.72660 0.000 1.000 0.000
#> 43226365-FAEF-46C5-AF1B-5C6C2BED84FF 2 0.3340 0.75452 0.120 0.880 0.000
#> 1536110A-B42A-4A84-9474-9895321FDCE9 2 0.0000 0.72660 0.000 1.000 0.000
#> 812255DD-536B-4216-90B1-27D5AB339BE2 2 0.6079 0.48568 0.388 0.612 0.000
#> 5D4563D6-68B7-4C9D-A3F4-AA7D45D5112C 2 0.1529 0.73944 0.040 0.960 0.000
#> BAA39781-DB94-473C-98B1-FA6CD3E1C67A 1 0.6274 0.02955 0.544 0.456 0.000
#> C1411CDA-814D-4E21-8929-C0F77858828F 1 0.5678 0.42854 0.684 0.316 0.000
#> EFE2F248-C13E-4E8D-9153-8C903848AC4A 2 0.3038 0.75359 0.104 0.896 0.000
#> D3939C84-D1D6-4060-9F91-AEB222A9BDD5 2 0.6291 0.27252 0.468 0.532 0.000
#> EABD2987-8C1E-49E5-94AF-C0BDE5335A48 1 0.2550 0.64907 0.936 0.024 0.040
#> F4BE2ABE-2CEB-4A6A-B8EC-0355F8C63B9B 1 0.3028 0.66111 0.920 0.048 0.032
#> 627BC251-D217-4955-B718-6B9D6DEA1756 1 0.5859 0.37639 0.656 0.344 0.000
#> 31B54613-A20E-4039-BB8B-9B52104CE418 1 0.6225 0.12487 0.568 0.432 0.000
#> 3F292B7C-A535-4DBD-BC20-CB4F85A1C94B 1 0.6570 0.16924 0.680 0.028 0.292
#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 1 0.5791 0.60001 0.792 0.148 0.060
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.0000 0.72660 0.000 1.000 0.000
#> 4588817E-1068-4A78-86B6-4674A0112DDA 2 0.5098 0.69118 0.248 0.752 0.000
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 3 0.1529 0.82261 0.040 0.000 0.960
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 2 0.5926 0.54928 0.356 0.644 0.000
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.6470 0.36538 0.632 0.356 0.012
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.3965 0.75065 0.132 0.860 0.008
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.5810 0.39497 0.664 0.336 0.000
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 1 0.3482 0.53941 0.872 0.000 0.128
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.0000 0.72660 0.000 1.000 0.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.3112 0.73291 0.096 0.900 0.004
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.6113 0.62218 0.300 0.688 0.012
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.5581 0.49615 0.788 0.036 0.176
#> A9022D9E-1D30-49EE-8552-1364A8027F34 3 0.4750 0.82576 0.216 0.000 0.784
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.5698 0.30832 0.736 0.012 0.252
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.4915 0.61136 0.804 0.184 0.012
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.5882 0.36702 0.652 0.348 0.000
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0000 0.72660 0.000 1.000 0.000
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.1919 0.64802 0.956 0.024 0.020
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 2 0.5733 0.60285 0.324 0.676 0.000
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 2 0.4702 0.72027 0.212 0.788 0.000
#> 297611E9-9555-4BCA-A723-02E846ACC23A 2 0.5431 0.65629 0.284 0.716 0.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 1 0.7944 0.14613 0.616 0.088 0.296
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.2651 0.66956 0.928 0.060 0.012
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.5926 -0.02811 0.644 0.000 0.356
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.6286 -0.00544 0.536 0.464 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 3 0.3816 0.83916 0.148 0.000 0.852
#> 331A9160-D730-45DD-A985-C6CAC03035ED 2 0.6267 0.31773 0.452 0.548 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 2 0.3340 0.75441 0.120 0.880 0.000
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.2703 0.66846 0.928 0.056 0.016
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 3 0.1529 0.82261 0.040 0.000 0.960
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.7566 0.21555 0.448 0.512 0.040
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 3 0.2066 0.82764 0.060 0.000 0.940
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.2443 0.64764 0.940 0.028 0.032
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 2 0.6180 0.42362 0.416 0.584 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 3 0.2356 0.82949 0.072 0.000 0.928
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 2 0.6267 0.31377 0.452 0.548 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 1 0.4807 0.61209 0.848 0.060 0.092
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.6460 -0.32129 0.556 0.004 0.440
#> DD51C17C-300F-44A4-955A-C9BC85417842 1 0.3134 0.63268 0.916 0.032 0.052
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 2 0.6008 0.52022 0.372 0.628 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.6302 -0.07749 0.520 0.480 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 1 0.7748 0.29819 0.652 0.096 0.252
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.1529 0.82261 0.040 0.000 0.960
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 1 0.4930 0.62232 0.836 0.120 0.044
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.72660 0.000 1.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.72660 0.000 1.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.2651 0.66956 0.928 0.060 0.012
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 1 0.4914 0.62624 0.844 0.068 0.088
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 3 0.4654 0.82910 0.208 0.000 0.792
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.6154 0.21089 0.592 0.408 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.6260 0.06571 0.552 0.448 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.3129 0.66329 0.904 0.088 0.008
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.6305 -0.10257 0.516 0.484 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 2 0.3116 0.75372 0.108 0.892 0.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.4723 0.62473 0.824 0.160 0.016
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.4782 0.72946 0.164 0.820 0.016
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.5926 0.35563 0.644 0.356 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.2434 0.63626 0.940 0.024 0.036
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 3 0.1529 0.82261 0.040 0.000 0.960
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.72660 0.000 1.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.6912 0.08731 0.444 0.540 0.016
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.5803 0.32693 0.736 0.016 0.248
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.72660 0.000 1.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.3213 0.75127 0.092 0.900 0.008
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.6302 -0.09707 0.520 0.480 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.3293 0.59823 0.900 0.012 0.088
#> CE539000-92D7-4622-9C8D-BC6E01310681 1 0.5136 0.61801 0.824 0.132 0.044
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.72660 0.000 1.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.2564 0.64003 0.936 0.028 0.036
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 2 0.5810 0.58742 0.336 0.664 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.2496 0.61118 0.928 0.004 0.068
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.4062 0.73105 0.164 0.836 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.2434 0.64047 0.940 0.024 0.036
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.72660 0.000 1.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 2 0.5431 0.65834 0.284 0.716 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 3 0.4796 0.82446 0.220 0.000 0.780
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.6520 -0.45231 0.508 0.004 0.488
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.2339 0.66536 0.940 0.048 0.012
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 2 0.6062 0.48739 0.384 0.616 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.3129 0.75153 0.088 0.904 0.008
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.2878 0.57340 0.904 0.000 0.096
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 3 0.4654 0.82910 0.208 0.000 0.792
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.3272 0.65237 0.892 0.104 0.004
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.2651 0.66983 0.928 0.060 0.012
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 2 0.4504 0.73307 0.196 0.804 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 2 0.6008 0.52016 0.372 0.628 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 3 0.6062 0.67098 0.384 0.000 0.616
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.2773 0.65519 0.928 0.048 0.024
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 2 0.4887 0.71413 0.228 0.772 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 2 0.4452 0.73443 0.192 0.808 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.4121 0.83744 0.168 0.000 0.832
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.2269 0.66033 0.944 0.040 0.016
#> 20EB9CC6-EABB-438A-9030-E766459996D1 1 0.6142 0.57122 0.748 0.212 0.040
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.5785 0.40182 0.668 0.332 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.0592 0.73294 0.012 0.988 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.6126 0.23555 0.600 0.400 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.6252 0.08629 0.556 0.444 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.5948 0.34108 0.640 0.360 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.3193 0.73338 0.100 0.896 0.004
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 2 0.3340 0.75441 0.120 0.880 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.1529 0.82261 0.040 0.000 0.960
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.6553 0.21060 0.580 0.412 0.008
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.1643 0.74482 0.044 0.956 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.6305 0.48393 0.484 0.000 0.516
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.6950 -0.08588 0.508 0.476 0.016
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 2 0.4399 0.73601 0.188 0.812 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.3272 0.65342 0.892 0.104 0.004
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.72660 0.000 1.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.5968 0.33535 0.636 0.364 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.7566 0.21555 0.448 0.512 0.040
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.6204 0.16615 0.576 0.424 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.1529 0.82261 0.040 0.000 0.960
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.6632 0.27772 0.596 0.392 0.012
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.3340 0.75593 0.120 0.880 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 2 0.4452 0.73401 0.192 0.808 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 3 0.2066 0.82740 0.060 0.000 0.940
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 2 0.6252 0.34044 0.444 0.556 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.2187 0.64368 0.948 0.024 0.028
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.5008 0.61634 0.804 0.180 0.016
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.6587 -0.28022 0.568 0.008 0.424
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.6154 0.64224 0.408 0.000 0.592
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 2 0.4002 0.74575 0.160 0.840 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 3 0.4452 0.83323 0.192 0.000 0.808
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.2537 0.73282 0.080 0.920 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 1 0.6906 0.39950 0.644 0.324 0.032
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.6286 -0.40315 0.536 0.000 0.464
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 2 0.6079 0.48568 0.388 0.612 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.6675 -0.18606 0.584 0.012 0.404
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 2 0.3941 0.74782 0.156 0.844 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.5228 0.5732 0.120 0.000 0.124 0.756
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#> 56FC9454-0A6A-4CC3-95C4-BE0E0D0BAFCE 2 0.0000 0.7022 0.000 1.000 0.000 0.000
#> 43226365-FAEF-46C5-AF1B-5C6C2BED84FF 2 0.5193 0.5805 0.324 0.656 0.000 0.020
#> 1536110A-B42A-4A84-9474-9895321FDCE9 2 0.0000 0.7022 0.000 1.000 0.000 0.000
#> 812255DD-536B-4216-90B1-27D5AB339BE2 1 0.5600 0.2144 0.596 0.376 0.000 0.028
#> 5D4563D6-68B7-4C9D-A3F4-AA7D45D5112C 2 0.1733 0.7051 0.028 0.948 0.000 0.024
#> BAA39781-DB94-473C-98B1-FA6CD3E1C67A 1 0.5235 0.5261 0.716 0.236 0.000 0.048
#> C1411CDA-814D-4E21-8929-C0F77858828F 1 0.3674 0.6170 0.848 0.116 0.000 0.036
#> EFE2F248-C13E-4E8D-9153-8C903848AC4A 2 0.5013 0.6115 0.292 0.688 0.000 0.020
#> D3939C84-D1D6-4060-9F91-AEB222A9BDD5 1 0.5013 0.4279 0.688 0.292 0.000 0.020
#> EABD2987-8C1E-49E5-94AF-C0BDE5335A48 1 0.4827 0.4215 0.748 0.008 0.020 0.224
#> F4BE2ABE-2CEB-4A6A-B8EC-0355F8C63B9B 1 0.5168 0.4381 0.736 0.016 0.024 0.224
#> 627BC251-D217-4955-B718-6B9D6DEA1756 1 0.3552 0.6136 0.848 0.128 0.000 0.024
#> 31B54613-A20E-4039-BB8B-9B52104CE418 1 0.4540 0.5560 0.772 0.196 0.000 0.032
#> 3F292B7C-A535-4DBD-BC20-CB4F85A1C94B 4 0.8274 0.0504 0.352 0.016 0.248 0.384
#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 4 0.3182 0.6357 0.096 0.028 0.000 0.876
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.0000 0.7022 0.000 1.000 0.000 0.000
#> 4588817E-1068-4A78-86B6-4674A0112DDA 2 0.6060 0.3400 0.440 0.516 0.000 0.044
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 3 0.0000 0.6266 0.000 0.000 1.000 0.000
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.5536 0.1410 0.592 0.384 0.000 0.024
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.4805 0.6096 0.780 0.164 0.004 0.052
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.4181 0.6947 0.128 0.820 0.000 0.052
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.3497 0.6168 0.852 0.124 0.000 0.024
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 1 0.6269 0.2182 0.632 0.000 0.096 0.272
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.0000 0.7022 0.000 1.000 0.000 0.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.3525 0.6570 0.040 0.860 0.000 0.100
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.6811 0.5147 0.180 0.604 0.000 0.216
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.7216 0.1294 0.572 0.012 0.136 0.280
#> A9022D9E-1D30-49EE-8552-1364A8027F34 3 0.5334 0.6657 0.172 0.000 0.740 0.088
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.7425 -0.0908 0.508 0.000 0.212 0.280
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.5905 0.5320 0.700 0.096 0.004 0.200
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.3447 0.6119 0.852 0.128 0.000 0.020
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0000 0.7022 0.000 1.000 0.000 0.000
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.4442 0.4203 0.752 0.004 0.008 0.236
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.5550 -0.0111 0.552 0.428 0.000 0.020
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 2 0.5933 0.4287 0.408 0.552 0.000 0.040
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.5682 -0.1474 0.520 0.456 0.000 0.024
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 4 0.6231 0.4075 0.096 0.004 0.240 0.660
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.4789 0.4642 0.748 0.024 0.004 0.224
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.7728 -0.2669 0.440 0.000 0.308 0.252
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.4327 0.5296 0.768 0.216 0.000 0.016
#> DCD0313D-5206-4111-8743-A8A0227257D9 3 0.3597 0.6770 0.148 0.000 0.836 0.016
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.5013 0.3985 0.688 0.292 0.000 0.020
#> 9EEECA0E-530D-4724-B016-A716F0782148 2 0.5343 0.5866 0.316 0.656 0.000 0.028
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.4756 0.4545 0.744 0.020 0.004 0.232
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 3 0.0000 0.6266 0.000 0.000 1.000 0.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 4 0.6928 0.1836 0.116 0.372 0.000 0.512
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 3 0.1022 0.6414 0.032 0.000 0.968 0.000
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.4600 0.4143 0.744 0.004 0.012 0.240
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.4936 0.3004 0.652 0.340 0.000 0.008
#> C86EBD08-53F2-4972-801A-74970FDD6A62 3 0.1452 0.6452 0.036 0.000 0.956 0.008
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.5013 0.3991 0.688 0.292 0.000 0.020
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 4 0.5421 0.5372 0.308 0.008 0.020 0.664
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 3 0.7867 0.2751 0.316 0.000 0.392 0.292
#> DD51C17C-300F-44A4-955A-C9BC85417842 1 0.5607 0.0728 0.560 0.004 0.016 0.420
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.5400 0.1903 0.608 0.372 0.000 0.020
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.4606 0.4939 0.724 0.264 0.000 0.012
#> B2088466-FA5D-491C-9982-99B33683E66F 4 0.5170 0.4974 0.060 0.004 0.184 0.752
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.0000 0.6266 0.000 0.000 1.000 0.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 4 0.4079 0.6585 0.180 0.020 0.000 0.800
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.7022 0.000 1.000 0.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.7022 0.000 1.000 0.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.4789 0.4642 0.748 0.024 0.004 0.224
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 4 0.5598 0.4783 0.344 0.008 0.020 0.628
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 3 0.5076 0.6713 0.172 0.000 0.756 0.072
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.4035 0.5767 0.804 0.176 0.000 0.020
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.5170 0.5353 0.724 0.228 0.000 0.048
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.5057 0.4882 0.748 0.044 0.004 0.204
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.5392 0.4734 0.680 0.280 0.000 0.040
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 2 0.5108 0.5972 0.308 0.672 0.000 0.020
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.5409 0.5357 0.752 0.068 0.012 0.168
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.4966 0.6056 0.076 0.768 0.000 0.156
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.4057 0.6085 0.816 0.152 0.000 0.032
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.5202 0.3113 0.668 0.004 0.016 0.312
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 3 0.0000 0.6266 0.000 0.000 1.000 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.7022 0.000 1.000 0.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.6857 -0.0724 0.104 0.492 0.000 0.404
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.7591 -0.0822 0.500 0.004 0.204 0.292
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.7022 0.000 1.000 0.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.3308 0.7048 0.092 0.872 0.000 0.036
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.4840 0.4968 0.732 0.240 0.000 0.028
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.6071 0.3067 0.660 0.008 0.064 0.268
#> CE539000-92D7-4622-9C8D-BC6E01310681 4 0.4375 0.6591 0.180 0.032 0.000 0.788
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.7022 0.000 1.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.4898 0.3721 0.716 0.004 0.016 0.264
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.5620 0.0442 0.560 0.416 0.000 0.024
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.5669 0.3316 0.684 0.004 0.052 0.260
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.4793 0.6569 0.204 0.756 0.000 0.040
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.4664 0.4036 0.736 0.004 0.012 0.248
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.7022 0.000 1.000 0.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.5682 -0.1586 0.520 0.456 0.000 0.024
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 3 0.5436 0.6630 0.176 0.000 0.732 0.092
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 3 0.7738 0.3586 0.300 0.000 0.440 0.260
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.4614 0.4491 0.752 0.016 0.004 0.228
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.5436 0.2394 0.620 0.356 0.000 0.024
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.3215 0.7055 0.092 0.876 0.000 0.032
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.5851 0.2768 0.660 0.000 0.068 0.272
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 3 0.5076 0.6713 0.172 0.000 0.756 0.072
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.4375 0.5086 0.788 0.032 0.000 0.180
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.4687 0.4619 0.752 0.020 0.004 0.224
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 2 0.5636 0.4272 0.424 0.552 0.000 0.024
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.5400 0.1914 0.608 0.372 0.000 0.020
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 3 0.7110 0.5279 0.236 0.000 0.564 0.200
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.4955 0.2474 0.648 0.000 0.008 0.344
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 2 0.5678 0.3538 0.452 0.524 0.000 0.024
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 2 0.5636 0.4295 0.424 0.552 0.000 0.024
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.4307 0.6784 0.144 0.000 0.808 0.048
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.4234 0.4369 0.764 0.004 0.004 0.228
#> 20EB9CC6-EABB-438A-9030-E766459996D1 4 0.5581 0.6423 0.140 0.132 0.000 0.728
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.3441 0.6180 0.856 0.120 0.000 0.024
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.3501 0.7092 0.132 0.848 0.000 0.020
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.4281 0.5827 0.792 0.180 0.000 0.028
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.4245 0.5490 0.784 0.196 0.000 0.020
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.3659 0.6070 0.840 0.136 0.000 0.024
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.3612 0.6575 0.044 0.856 0.000 0.100
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 2 0.5343 0.5866 0.316 0.656 0.000 0.028
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.0000 0.6266 0.000 0.000 1.000 0.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.6823 0.4814 0.596 0.244 0.000 0.160
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.4284 0.6783 0.200 0.780 0.000 0.020
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.7531 0.3885 0.316 0.000 0.476 0.208
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.7489 0.1045 0.452 0.364 0.000 0.184
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 2 0.5628 0.4455 0.420 0.556 0.000 0.024
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.4375 0.5085 0.788 0.032 0.000 0.180
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.7022 0.000 1.000 0.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.4713 0.6021 0.776 0.172 0.000 0.052
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.6928 0.1836 0.116 0.372 0.000 0.512
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.4728 0.5589 0.752 0.216 0.000 0.032
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.0000 0.6266 0.000 0.000 1.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.6797 0.5157 0.616 0.232 0.004 0.148
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.4857 0.6221 0.284 0.700 0.000 0.016
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 2 0.5716 0.4360 0.420 0.552 0.000 0.028
#> 6752EED9-7990-433F-A206-D5398C396471 3 0.1004 0.6395 0.024 0.000 0.972 0.004
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.5110 0.3506 0.656 0.328 0.000 0.016
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.4747 0.4018 0.736 0.004 0.016 0.244
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.5883 0.5284 0.700 0.092 0.004 0.204
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.7896 0.2431 0.312 0.000 0.376 0.312
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.7274 0.4990 0.240 0.000 0.540 0.220
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 2 0.5548 0.4970 0.388 0.588 0.000 0.024
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 3 0.4701 0.6755 0.164 0.000 0.780 0.056
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.2660 0.6875 0.036 0.908 0.000 0.056
#> 26DABC83-DB30-452F-9BE2-366760CB138E 4 0.6635 0.5364 0.152 0.228 0.000 0.620
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.7814 0.3073 0.304 0.000 0.416 0.280
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.5600 0.2144 0.596 0.376 0.000 0.028
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.7869 -0.4432 0.368 0.000 0.356 0.276
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 2 0.5536 0.5027 0.384 0.592 0.000 0.024
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.5544 0.508060 0.028 0.000 0.204 0.684 0.084
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 5 0.4595 0.546267 0.004 0.000 0.488 0.004 0.504
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.5121 -0.248675 0.500 0.004 0.468 0.028 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.3387 0.634201 0.836 0.132 0.024 0.008 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.4419 0.602541 0.760 0.188 0.032 0.020 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.3944 0.328365 0.720 0.004 0.272 0.004 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 4 0.6538 0.192983 0.152 0.000 0.396 0.444 0.008
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.2610 0.839480 0.028 0.892 0.004 0.076 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.5184 0.402556 0.456 0.004 0.508 0.032 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.4164 0.403569 0.728 0.012 0.252 0.008 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.2589 0.636568 0.900 0.048 0.044 0.008 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.3646 0.581608 0.816 0.036 0.144 0.004 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.4882 0.516077 0.736 0.048 0.188 0.028 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0324 0.874270 0.004 0.992 0.004 0.000 0.000
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#> 43226365-FAEF-46C5-AF1B-5C6C2BED84FF 1 0.5517 0.266980 0.536 0.412 0.032 0.020 0.000
#> 1536110A-B42A-4A84-9474-9895321FDCE9 2 0.0162 0.874845 0.004 0.996 0.000 0.000 0.000
#> 812255DD-536B-4216-90B1-27D5AB339BE2 1 0.4067 0.632548 0.804 0.132 0.048 0.016 0.000
#> 5D4563D6-68B7-4C9D-A3F4-AA7D45D5112C 2 0.1862 0.859437 0.016 0.932 0.004 0.048 0.000
#> BAA39781-DB94-473C-98B1-FA6CD3E1C67A 1 0.2879 0.623093 0.880 0.032 0.080 0.008 0.000
#> C1411CDA-814D-4E21-8929-C0F77858828F 1 0.3039 0.495116 0.808 0.000 0.192 0.000 0.000
#> EFE2F248-C13E-4E8D-9153-8C903848AC4A 1 0.5562 0.160236 0.496 0.452 0.032 0.020 0.000
#> D3939C84-D1D6-4060-9F91-AEB222A9BDD5 1 0.3693 0.640957 0.836 0.080 0.072 0.012 0.000
#> EABD2987-8C1E-49E5-94AF-C0BDE5335A48 3 0.4655 0.421421 0.476 0.000 0.512 0.012 0.000
#> F4BE2ABE-2CEB-4A6A-B8EC-0355F8C63B9B 3 0.4705 0.388212 0.484 0.000 0.504 0.008 0.004
#> 627BC251-D217-4955-B718-6B9D6DEA1756 1 0.2773 0.530445 0.836 0.000 0.164 0.000 0.000
#> 31B54613-A20E-4039-BB8B-9B52104CE418 1 0.2116 0.606570 0.912 0.008 0.076 0.004 0.000
#> 3F292B7C-A535-4DBD-BC20-CB4F85A1C94B 3 0.7052 0.293650 0.140 0.008 0.592 0.180 0.080
#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 4 0.1956 0.568127 0.008 0.012 0.052 0.928 0.000
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.0162 0.874845 0.004 0.996 0.000 0.000 0.000
#> 4588817E-1068-4A78-86B6-4674A0112DDA 1 0.5758 0.494756 0.644 0.252 0.028 0.076 0.000
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 5 0.0162 0.697487 0.000 0.000 0.000 0.004 0.996
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.3629 0.628389 0.824 0.136 0.028 0.012 0.000
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.3660 0.541508 0.800 0.016 0.176 0.008 0.000
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.4716 0.728933 0.112 0.772 0.028 0.088 0.000
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.2930 0.527708 0.832 0.000 0.164 0.004 0.000
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 3 0.5371 0.554873 0.352 0.000 0.596 0.020 0.032
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.0324 0.873663 0.004 0.992 0.004 0.000 0.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.2929 0.800391 0.012 0.856 0.004 0.128 0.000
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.7314 0.231822 0.180 0.472 0.052 0.296 0.000
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 3 0.5020 0.556763 0.316 0.000 0.640 0.008 0.036
#> A9022D9E-1D30-49EE-8552-1364A8027F34 3 0.4451 -0.535503 0.000 0.000 0.504 0.004 0.492
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 3 0.4726 0.575168 0.228 0.000 0.716 0.008 0.048
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.4852 0.054259 0.596 0.008 0.380 0.016 0.000
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.2773 0.530827 0.836 0.000 0.164 0.000 0.000
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0162 0.874845 0.004 0.996 0.000 0.000 0.000
#> 344B9631-AAA5-4302-8747-D584345D9131 3 0.4656 0.414961 0.480 0.000 0.508 0.012 0.000
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.4088 0.620623 0.780 0.176 0.036 0.008 0.000
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.5911 0.449321 0.620 0.276 0.032 0.072 0.000
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.3879 0.603785 0.784 0.188 0.016 0.012 0.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 4 0.6624 0.379452 0.016 0.004 0.248 0.556 0.176
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.4655 -0.327815 0.512 0.000 0.476 0.012 0.000
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 3 0.5587 0.497599 0.188 0.000 0.656 0.004 0.152
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.2522 0.623955 0.896 0.024 0.076 0.004 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 5 0.4074 0.649506 0.000 0.000 0.364 0.000 0.636
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.2775 0.640585 0.888 0.068 0.036 0.008 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 1 0.5623 0.206588 0.512 0.432 0.032 0.024 0.000
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.4659 -0.359872 0.500 0.000 0.488 0.012 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 5 0.0162 0.697487 0.000 0.000 0.000 0.004 0.996
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 4 0.6143 0.329766 0.076 0.284 0.040 0.600 0.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 5 0.1908 0.701052 0.000 0.000 0.092 0.000 0.908
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 3 0.4650 0.432647 0.468 0.000 0.520 0.012 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.3641 0.641874 0.820 0.120 0.060 0.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 5 0.2179 0.699106 0.000 0.000 0.112 0.000 0.888
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.2757 0.641043 0.888 0.072 0.032 0.008 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 4 0.6538 0.192983 0.152 0.000 0.396 0.444 0.008
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 3 0.5647 0.296280 0.084 0.000 0.696 0.048 0.172
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.6261 0.490372 0.296 0.000 0.524 0.180 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.3538 0.633328 0.832 0.128 0.028 0.012 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.4201 0.628728 0.808 0.072 0.096 0.024 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 4 0.5834 0.457012 0.008 0.004 0.200 0.648 0.140
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 5 0.0162 0.697487 0.000 0.000 0.000 0.004 0.996
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 4 0.4006 0.604330 0.080 0.004 0.112 0.804 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0162 0.874845 0.004 0.996 0.000 0.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0162 0.874845 0.004 0.996 0.000 0.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.4655 -0.327815 0.512 0.000 0.476 0.012 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 4 0.6725 0.080328 0.184 0.000 0.396 0.412 0.008
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 5 0.4306 0.539703 0.000 0.000 0.492 0.000 0.508
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.2886 0.594041 0.864 0.016 0.116 0.004 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.2854 0.619109 0.880 0.028 0.084 0.008 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.4764 -0.236135 0.548 0.004 0.436 0.012 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.4346 0.623759 0.800 0.076 0.096 0.028 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.5545 0.217296 0.516 0.432 0.032 0.020 0.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.4449 0.016736 0.604 0.000 0.388 0.004 0.004
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.4799 0.687133 0.056 0.752 0.028 0.164 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.2971 0.548252 0.836 0.008 0.156 0.000 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.5415 0.505306 0.384 0.000 0.552 0.064 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 5 0.0162 0.697487 0.000 0.000 0.000 0.004 0.996
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0324 0.873663 0.004 0.992 0.004 0.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 4 0.5715 0.000516 0.028 0.460 0.032 0.480 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 3 0.4782 0.575943 0.236 0.000 0.708 0.008 0.048
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0162 0.874845 0.004 0.996 0.000 0.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.3880 0.749796 0.112 0.824 0.028 0.036 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.3038 0.625094 0.872 0.040 0.080 0.008 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 3 0.4689 0.517800 0.392 0.000 0.592 0.008 0.008
#> CE539000-92D7-4622-9C8D-BC6E01310681 4 0.4394 0.607789 0.084 0.016 0.112 0.788 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0162 0.874845 0.004 0.996 0.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.5088 0.472735 0.436 0.000 0.528 0.036 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.4305 0.621196 0.784 0.152 0.044 0.020 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 3 0.4920 0.515568 0.404 0.000 0.572 0.012 0.012
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.5438 0.562919 0.204 0.684 0.016 0.096 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 3 0.4644 0.446455 0.460 0.000 0.528 0.012 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0162 0.874845 0.004 0.996 0.000 0.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.4419 0.602541 0.760 0.188 0.032 0.020 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 3 0.4448 -0.523257 0.000 0.000 0.516 0.004 0.480
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 3 0.4907 0.245980 0.064 0.000 0.720 0.012 0.204
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.4659 -0.374044 0.500 0.000 0.488 0.012 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.3332 0.636796 0.844 0.120 0.028 0.008 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.3801 0.750690 0.112 0.828 0.028 0.032 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.4825 0.540301 0.368 0.000 0.608 0.012 0.012
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 5 0.4306 0.539703 0.000 0.000 0.492 0.000 0.508
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.4582 -0.143360 0.572 0.000 0.416 0.012 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.4656 -0.338539 0.508 0.000 0.480 0.012 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.5067 0.498948 0.668 0.280 0.028 0.024 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.3538 0.633447 0.832 0.128 0.028 0.012 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 3 0.4921 -0.118210 0.036 0.000 0.640 0.004 0.320
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.6088 0.465964 0.380 0.000 0.492 0.128 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.4945 0.534073 0.688 0.260 0.032 0.020 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.4915 0.510873 0.684 0.268 0.028 0.020 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 5 0.4227 0.622351 0.000 0.000 0.420 0.000 0.580
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 3 0.4659 0.385036 0.488 0.000 0.500 0.012 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 4 0.4936 0.607302 0.068 0.092 0.072 0.768 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.2970 0.523226 0.828 0.000 0.168 0.004 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.4792 0.516740 0.248 0.704 0.028 0.020 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.3106 0.587649 0.844 0.024 0.132 0.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.2237 0.610021 0.904 0.008 0.084 0.004 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.2648 0.543916 0.848 0.000 0.152 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.2976 0.797126 0.012 0.852 0.004 0.132 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.5623 0.206588 0.512 0.432 0.032 0.024 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 5 0.0162 0.697487 0.000 0.000 0.000 0.004 0.996
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.6338 0.492592 0.648 0.076 0.160 0.116 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.5383 0.322122 0.356 0.592 0.032 0.020 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.5713 0.193550 0.100 0.000 0.620 0.008 0.272
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.8164 0.145936 0.408 0.240 0.208 0.144 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.4848 0.499446 0.684 0.272 0.028 0.016 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.4510 -0.171834 0.560 0.000 0.432 0.008 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0162 0.874845 0.004 0.996 0.000 0.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.3277 0.556746 0.832 0.012 0.148 0.008 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.6143 0.329766 0.076 0.284 0.040 0.600 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.3420 0.598068 0.836 0.036 0.124 0.004 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 5 0.0162 0.697487 0.000 0.000 0.000 0.004 0.996
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.6191 0.482671 0.652 0.072 0.188 0.088 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.5715 0.125248 0.480 0.460 0.032 0.028 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.5008 0.493468 0.668 0.284 0.024 0.024 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 5 0.1671 0.701246 0.000 0.000 0.076 0.000 0.924
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.4247 0.632144 0.808 0.100 0.056 0.036 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.4641 0.449432 0.456 0.000 0.532 0.012 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.4893 0.016129 0.580 0.008 0.396 0.016 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.5842 0.308336 0.088 0.000 0.688 0.064 0.160
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.4906 -0.041104 0.036 0.000 0.664 0.008 0.292
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.5104 0.455048 0.648 0.304 0.028 0.020 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.4278 0.583953 0.000 0.000 0.452 0.000 0.548
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.2452 0.839293 0.016 0.896 0.004 0.084 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 4 0.5739 0.548099 0.076 0.188 0.052 0.684 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.4899 0.276943 0.064 0.000 0.736 0.020 0.180
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.4067 0.632548 0.804 0.132 0.048 0.016 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 3 0.5504 0.403018 0.132 0.000 0.704 0.028 0.136
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.5180 0.455389 0.644 0.304 0.032 0.020 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 5 0.4584 0.54456 0.032 0.000 0.104 0.028 0.772 0.064
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.4754 0.08906 0.004 0.000 0.576 0.020 0.016 0.384
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.5296 0.29086 0.588 0.000 0.324 0.056 0.032 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.3794 0.52046 0.744 0.040 0.000 0.216 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.4499 0.43095 0.652 0.060 0.000 0.288 0.000 0.000
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#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.6217 -0.14214 0.364 0.280 0.000 0.352 0.004 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.5508 0.26033 0.520 0.108 0.000 0.364 0.008 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 6 0.1908 0.78418 0.000 0.000 0.096 0.004 0.000 0.900
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.4092 0.53849 0.756 0.028 0.008 0.192 0.016 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.5021 0.16838 0.540 0.000 0.396 0.056 0.008 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.4804 0.41682 0.660 0.000 0.264 0.060 0.016 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.4882 0.54480 0.092 0.000 0.752 0.024 0.088 0.044
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.4383 0.50332 0.032 0.000 0.772 0.028 0.028 0.140
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.5211 0.25011 0.516 0.096 0.000 0.388 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 3 0.4734 -0.00621 0.000 0.000 0.548 0.028 0.012 0.412
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.2340 0.79187 0.000 0.896 0.004 0.056 0.044 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 5 0.6475 0.04799 0.028 0.176 0.024 0.224 0.548 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.4605 0.56524 0.084 0.000 0.772 0.024 0.036 0.084
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.4187 0.51654 0.724 0.028 0.008 0.232 0.008 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 3 0.4329 0.55912 0.148 0.000 0.768 0.016 0.048 0.020
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.5290 0.23652 0.504 0.104 0.000 0.392 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 17469 rows and 309 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 0.734 0.924 0.962 0.4667 0.526 0.526
#> 3 3 0.984 0.958 0.983 0.2779 0.627 0.424
#> 4 4 0.735 0.858 0.902 0.1988 0.768 0.484
#> 5 5 0.812 0.831 0.902 0.0691 0.947 0.812
#> 6 6 0.746 0.591 0.789 0.0471 0.984 0.936
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.0000 0.9429 1.000 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.0000 0.9429 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 2 0.9393 0.4301 0.356 0.644
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 2 0.0000 0.9695 0.000 1.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 2 0.0000 0.9695 0.000 1.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 2 0.1843 0.9473 0.028 0.972
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.0000 0.9429 1.000 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0376 0.9684 0.004 0.996
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.5946 0.8688 0.856 0.144
#> 53062969-D209-490B-9C9B-5D297625E2AE 2 0.6343 0.8072 0.160 0.840
#> B710293C-41D3-4A2E-8104-5402F91DD859 2 0.0000 0.9695 0.000 1.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 2 0.2043 0.9438 0.032 0.968
#> B055A70B-3003-47CB-BDAA-6378C000BF24 2 0.7674 0.7123 0.224 0.776
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0376 0.9684 0.004 0.996
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.0000 0.9429 1.000 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.5946 0.8688 0.856 0.144
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.0376 0.9430 0.996 0.004
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 2 0.0000 0.9695 0.000 1.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0376 0.9430 0.996 0.004
#> C204D355-B876-4341-A111-36D48CBDD2A8 2 0.0000 0.9695 0.000 1.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0376 0.9684 0.004 0.996
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 2 0.0000 0.9695 0.000 1.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 2 0.0000 0.9695 0.000 1.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 2 0.0000 0.9695 0.000 1.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.0376 0.9430 0.996 0.004
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0376 0.9430 0.996 0.004
#> 2B5DD791-7692-4721-9519-7D7D49B52570 2 0.0000 0.9695 0.000 1.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.5946 0.8688 0.856 0.144
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0376 0.9684 0.004 0.996
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0376 0.9684 0.004 0.996
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 2 0.0000 0.9695 0.000 1.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 2 0.0000 0.9695 0.000 1.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 2 0.0000 0.9695 0.000 1.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.2778 0.9260 0.952 0.048
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0376 0.9684 0.004 0.996
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 2 0.0000 0.9695 0.000 1.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.8813 0.6331 0.700 0.300
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 1 0.0000 0.9429 1.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 2 0.6623 0.7909 0.172 0.828
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0938 0.9411 0.988 0.012
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0376 0.9684 0.004 0.996
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 2 0.0000 0.9695 0.000 1.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.5946 0.8688 0.856 0.144
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 2 0.0000 0.9695 0.000 1.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 1.0000 0.0733 0.504 0.496
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.5519 0.8812 0.872 0.128
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 2 0.0000 0.9695 0.000 1.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0376 0.9684 0.004 0.996
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.5946 0.8688 0.856 0.144
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0376 0.9684 0.004 0.996
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 2 0.0000 0.9695 0.000 1.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 1 0.0000 0.9429 1.000 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.5946 0.8688 0.856 0.144
#> F941890E-AB33-478F-8C97-1C785DD9428F 2 0.0000 0.9695 0.000 1.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 2 0.6048 0.8224 0.148 0.852
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 2 0.0000 0.9695 0.000 1.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 1 0.0000 0.9429 1.000 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 2 0.0000 0.9695 0.000 1.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 1 0.0000 0.9429 1.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 2 0.0000 0.9695 0.000 1.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 2 0.0000 0.9695 0.000 1.000
#> 09758B6F-1B2D-4AED-8913-696097069409 2 0.0000 0.9695 0.000 1.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 2 0.0000 0.9695 0.000 1.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 2 0.2043 0.9438 0.032 0.968
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0376 0.9684 0.004 0.996
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 1 0.0000 0.9429 1.000 0.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 2 0.0000 0.9695 0.000 1.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 2 0.4939 0.8691 0.108 0.892
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 1 0.0000 0.9429 1.000 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0376 0.9684 0.004 0.996
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0376 0.9430 0.996 0.004
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.4690 0.8986 0.900 0.100
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.5519 0.8812 0.872 0.128
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 2 0.1184 0.9575 0.016 0.984
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 2 0.0000 0.9695 0.000 1.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.5946 0.8688 0.856 0.144
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 2 0.0000 0.9695 0.000 1.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0376 0.9684 0.004 0.996
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 1 0.0000 0.9429 1.000 0.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 1 0.0000 0.9429 1.000 0.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 2 0.8861 0.5612 0.304 0.696
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 1 0.0000 0.9429 1.000 0.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0376 0.9430 0.996 0.004
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 2 0.5842 0.8322 0.140 0.860
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 2 0.6048 0.8224 0.148 0.852
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 2 0.0000 0.9695 0.000 1.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 2 0.0000 0.9695 0.000 1.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0376 0.9684 0.004 0.996
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 1 0.0000 0.9429 1.000 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 1 0.5946 0.8688 0.856 0.144
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 2 0.0000 0.9695 0.000 1.000
#> D47D0936-826F-4D54-9225-F71B95357438 2 0.6048 0.8224 0.148 0.852
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0376 0.9684 0.004 0.996
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.7745 0.7575 0.772 0.228
#> D587A993-3C47-4D4C-B744-59169D4F7451 2 0.0000 0.9695 0.000 1.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 2 0.0000 0.9695 0.000 1.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 2 0.0000 0.9695 0.000 1.000
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 2 0.0000 0.9695 0.000 1.000
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 2 0.0000 0.9695 0.000 1.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 2 0.5408 0.8507 0.124 0.876
#> 00439565-02CE-4BF5-956D-7078B51C0947 1 0.0000 0.9429 1.000 0.000
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0376 0.9684 0.004 0.996
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0376 0.9684 0.004 0.996
#> D9096909-1439-462D-B69C-CAD1BF4F420C 2 0.0000 0.9695 0.000 1.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 2 0.9323 0.4530 0.348 0.652
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0376 0.9684 0.004 0.996
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 2 0.0000 0.9695 0.000 1.000
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 1 0.0376 0.9430 0.996 0.004
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 2 0.0000 0.9695 0.000 1.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 2 0.0376 0.9684 0.004 0.996
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0376 0.9684 0.004 0.996
#> 7139D616-1A15-4288-A9AE-411856A4A76D 2 0.0000 0.9695 0.000 1.000
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 1 0.0000 0.9429 1.000 0.000
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 1 0.0000 0.9429 1.000 0.000
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 2 0.0000 0.9695 0.000 1.000
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.5519 0.8812 0.872 0.128
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.0376 0.9430 0.996 0.004
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#> 4938E366-C740-4C9C-9358-FF37997DC9EF 2 0.0000 0.9695 0.000 1.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0376 0.9430 0.996 0.004
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 2 0.0000 0.9695 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.0000 0.965 0.000 0.000 1.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.965 0.000 0.000 1.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.0000 0.994 1.000 0.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.994 1.000 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.994 1.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.994 1.000 0.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.2625 0.874 0.084 0.000 0.916
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.959 0.000 1.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.0000 0.994 1.000 0.000 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.994 1.000 0.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.994 1.000 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.994 1.000 0.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.0000 0.994 1.000 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.959 0.000 1.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.0000 0.965 0.000 0.000 1.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.0000 0.994 1.000 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.4654 0.718 0.208 0.000 0.792
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.994 1.000 0.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 3 0.4842 0.697 0.224 0.000 0.776
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0000 0.994 1.000 0.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.959 0.000 1.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.994 1.000 0.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.994 1.000 0.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.994 1.000 0.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.5291 0.641 0.268 0.000 0.732
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 3 0.0000 0.965 0.000 0.000 1.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.0000 0.994 1.000 0.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0000 0.994 1.000 0.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.959 0.000 1.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.959 0.000 1.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.994 1.000 0.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.994 1.000 0.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.994 1.000 0.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.994 1.000 0.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.959 0.000 1.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.0000 0.994 1.000 0.000 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.0000 0.994 1.000 0.000 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 3 0.0000 0.965 0.000 0.000 1.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.994 1.000 0.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.994 1.000 0.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.959 0.000 1.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.0000 0.994 1.000 0.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.0000 0.994 1.000 0.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.994 1.000 0.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.0000 0.994 1.000 0.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0000 0.994 1.000 0.000 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.994 1.000 0.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.959 0.000 1.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.0000 0.994 1.000 0.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.959 0.000 1.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.994 1.000 0.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 3 0.0000 0.965 0.000 0.000 1.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.0000 0.994 1.000 0.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.0000 0.994 1.000 0.000 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0000 0.994 1.000 0.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.0000 0.994 1.000 0.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0000 0.965 0.000 0.000 1.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.0000 0.994 1.000 0.000 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 3 0.0000 0.965 0.000 0.000 1.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.994 1.000 0.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.994 1.000 0.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 2 0.4605 0.724 0.204 0.796 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.0000 0.994 1.000 0.000 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.994 1.000 0.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.959 0.000 1.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.0000 0.965 0.000 0.000 1.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.994 1.000 0.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.0000 0.994 1.000 0.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0000 0.965 0.000 0.000 1.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.959 0.000 1.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 3 0.0000 0.965 0.000 0.000 1.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0000 0.994 1.000 0.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.0000 0.994 1.000 0.000 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0000 0.994 1.000 0.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.0000 0.994 1.000 0.000 0.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.994 1.000 0.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0000 0.994 1.000 0.000 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.959 0.000 1.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.0000 0.965 0.000 0.000 1.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 3 0.0000 0.965 0.000 0.000 1.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0000 0.994 1.000 0.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.0000 0.965 0.000 0.000 1.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 3 0.0000 0.965 0.000 0.000 1.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.994 1.000 0.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.994 1.000 0.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.0237 0.990 0.996 0.004 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.0000 0.994 1.000 0.000 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.959 0.000 1.000 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 3 0.0000 0.965 0.000 0.000 1.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 1 0.0000 0.994 1.000 0.000 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0000 0.994 1.000 0.000 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.0000 0.994 1.000 0.000 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.959 0.000 1.000 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.0000 0.994 1.000 0.000 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0000 0.994 1.000 0.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0000 0.994 1.000 0.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.0000 0.994 1.000 0.000 0.000
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.0000 0.994 1.000 0.000 0.000
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.0000 0.994 1.000 0.000 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 1 0.0000 0.994 1.000 0.000 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 3 0.0000 0.965 0.000 0.000 1.000
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.959 0.000 1.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.959 0.000 1.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.0000 0.994 1.000 0.000 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.0000 0.994 1.000 0.000 0.000
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.959 0.000 1.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 2 0.0000 0.959 0.000 1.000 0.000
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.3879 0.791 0.152 0.000 0.848
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.0000 0.994 1.000 0.000 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 2 0.0000 0.959 0.000 1.000 0.000
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.959 0.000 1.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 2 0.4931 0.690 0.232 0.768 0.000
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.0000 0.965 0.000 0.000 1.000
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.0000 0.965 0.000 0.000 1.000
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.0000 0.994 1.000 0.000 0.000
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.0000 0.994 1.000 0.000 0.000
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 3 0.0000 0.965 0.000 0.000 1.000
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.0000 0.994 1.000 0.000 0.000
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.0000 0.994 1.000 0.000 0.000
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.0000 0.994 1.000 0.000 0.000
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 3 0.0000 0.965 0.000 0.000 1.000
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 3 0.0000 0.965 0.000 0.000 1.000
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 1 0.0000 0.994 1.000 0.000 0.000
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.0000 0.994 1.000 0.000 0.000
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 1 0.0424 0.986 0.992 0.008 0.000
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 2 0.0747 0.942 0.016 0.984 0.000
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 3 0.9183 0.212 0.156 0.360 0.484
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.0000 0.994 1.000 0.000 0.000
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 3 0.0000 0.965 0.000 0.000 1.000
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 3 0.0000 0.965 0.000 0.000 1.000
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 1 0.0000 0.994 1.000 0.000 0.000
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.0000 0.994 1.000 0.000 0.000
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 3 0.0000 0.965 0.000 0.000 1.000
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 3 0.0000 0.965 0.000 0.000 1.000
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.0000 0.959 0.000 1.000 0.000
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0000 0.959 0.000 1.000 0.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.0000 0.994 1.000 0.000 0.000
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0000 0.959 0.000 1.000 0.000
#> 9492A322-37CA-4582-AC68-66B5D80778AF 2 0.0000 0.959 0.000 1.000 0.000
#> 993399A4-1B9F-4258-B2D0-155AD58A2E82 1 0.0000 0.994 1.000 0.000 0.000
#> 7B7DC93D-5494-4E69-BE07-2967887182F9 3 0.0000 0.965 0.000 0.000 1.000
#> 29BCBA51-2580-473D-9CF7-BEDBD0DBAD1B 2 0.0000 0.959 0.000 1.000 0.000
#> 40855647-E942-4F32-90B7-BEB921929BFB 1 0.0000 0.994 1.000 0.000 0.000
#> 0DC723D0-7C68-4495-A4B9-2DF2FF19AB14 2 0.0000 0.959 0.000 1.000 0.000
#> 7540005F-57E0-4E2E-A8A2-BEF2B0F333B1 2 0.0000 0.959 0.000 1.000 0.000
#> EB1DDB14-4076-4C2C-B911-390C17C21486 3 0.0000 0.965 0.000 0.000 1.000
#> 9EA70EC4-8BA0-4E3D-B3CB-A68D19E89868 3 0.0000 0.965 0.000 0.000 1.000
#> B04E2E50-0A6E-4224-A825-1714D12E5669 3 0.0000 0.965 0.000 0.000 1.000
#> B0BF5E01-536D-40FF-9C24-CBBD611E2FC2 3 0.0000 0.965 0.000 0.000 1.000
#> 7B6B1788-B297-4442-B6BE-B7CE8754491E 3 0.0000 0.965 0.000 0.000 1.000
#> A090D00C-34DF-4906-A517-4803C4C9A332 1 0.0000 0.994 1.000 0.000 0.000
#> 340D44A6-9BEA-412C-9973-D9ABD6692255 1 0.0000 0.994 1.000 0.000 0.000
#> E8D0D1E7-E5A8-4014-80C1-0245F90F4358 2 0.0000 0.959 0.000 1.000 0.000
#> 19EA1494-8572-40E1-B9BB-3739F47B607D 1 0.0000 0.994 1.000 0.000 0.000
#> 1C1B4793-8DAF-4763-BA4D-C4E869A4ED35 2 0.6267 0.225 0.452 0.548 0.000
#> 45BF59B3-95BD-4196-ABAA-4C4F0DB38572 3 0.0000 0.965 0.000 0.000 1.000
#> 47B5A2A7-7E13-4558-99D2-067F5075C6A4 1 0.0000 0.994 1.000 0.000 0.000
#> E94638E8-CB51-4FBB-8BCB-4BFD7A812291 1 0.0000 0.994 1.000 0.000 0.000
#> A17352A8-0D3C-4545-8136-7DAE2FB0E102 3 0.0000 0.965 0.000 0.000 1.000
#> B18A6F95-D4ED-416B-B5A1-9A4934865D0D 2 0.0000 0.959 0.000 1.000 0.000
#> 33E92C5F-0C42-4549-AD5B-0A064182A272 1 0.0000 0.994 1.000 0.000 0.000
#> E041B375-3E60-4F18-A6EF-D1C249E3B8EE 1 0.0000 0.994 1.000 0.000 0.000
#> EDF90AF6-6C64-4BD2-AADF-8D7D188650B2 2 0.0000 0.959 0.000 1.000 0.000
#> 569320D2-316C-4E2D-B7B3-D7D5C4DAD42D 1 0.0000 0.994 1.000 0.000 0.000
#> AFFB223D-DAE9-4567-9EF2-8E4DF9D8782D 2 0.0000 0.959 0.000 1.000 0.000
#> 56FC9454-0A6A-4CC3-95C4-BE0E0D0BAFCE 2 0.0000 0.959 0.000 1.000 0.000
#> 43226365-FAEF-46C5-AF1B-5C6C2BED84FF 2 0.5733 0.554 0.324 0.676 0.000
#> 1536110A-B42A-4A84-9474-9895321FDCE9 2 0.0000 0.959 0.000 1.000 0.000
#> 812255DD-536B-4216-90B1-27D5AB339BE2 1 0.0000 0.994 1.000 0.000 0.000
#> 5D4563D6-68B7-4C9D-A3F4-AA7D45D5112C 2 0.0000 0.959 0.000 1.000 0.000
#> BAA39781-DB94-473C-98B1-FA6CD3E1C67A 1 0.0000 0.994 1.000 0.000 0.000
#> C1411CDA-814D-4E21-8929-C0F77858828F 1 0.0000 0.994 1.000 0.000 0.000
#> EFE2F248-C13E-4E8D-9153-8C903848AC4A 2 0.5058 0.674 0.244 0.756 0.000
#> D3939C84-D1D6-4060-9F91-AEB222A9BDD5 1 0.0000 0.994 1.000 0.000 0.000
#> EABD2987-8C1E-49E5-94AF-C0BDE5335A48 1 0.0000 0.994 1.000 0.000 0.000
#> F4BE2ABE-2CEB-4A6A-B8EC-0355F8C63B9B 1 0.0000 0.994 1.000 0.000 0.000
#> 627BC251-D217-4955-B718-6B9D6DEA1756 1 0.0000 0.994 1.000 0.000 0.000
#> 31B54613-A20E-4039-BB8B-9B52104CE418 1 0.0000 0.994 1.000 0.000 0.000
#> 3F292B7C-A535-4DBD-BC20-CB4F85A1C94B 1 0.0000 0.994 1.000 0.000 0.000
#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 2 0.0000 0.959 0.000 1.000 0.000
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.0000 0.959 0.000 1.000 0.000
#> 4588817E-1068-4A78-86B6-4674A0112DDA 1 0.0000 0.994 1.000 0.000 0.000
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 3 0.0000 0.965 0.000 0.000 1.000
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.0000 0.994 1.000 0.000 0.000
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.0000 0.994 1.000 0.000 0.000
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.0000 0.959 0.000 1.000 0.000
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.0000 0.994 1.000 0.000 0.000
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 3 0.5785 0.522 0.332 0.000 0.668
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.0000 0.959 0.000 1.000 0.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.0000 0.959 0.000 1.000 0.000
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.0000 0.959 0.000 1.000 0.000
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.0424 0.986 0.992 0.000 0.008
#> A9022D9E-1D30-49EE-8552-1364A8027F34 3 0.0000 0.965 0.000 0.000 1.000
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.0000 0.994 1.000 0.000 0.000
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.0000 0.994 1.000 0.000 0.000
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.0000 0.994 1.000 0.000 0.000
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0000 0.959 0.000 1.000 0.000
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.0000 0.994 1.000 0.000 0.000
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.0000 0.994 1.000 0.000 0.000
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.3340 0.856 0.880 0.120 0.000
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.0000 0.994 1.000 0.000 0.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 3 0.0000 0.965 0.000 0.000 1.000
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.0000 0.994 1.000 0.000 0.000
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.5678 0.526 0.684 0.000 0.316
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.0000 0.994 1.000 0.000 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 3 0.0000 0.965 0.000 0.000 1.000
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0000 0.994 1.000 0.000 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 2 0.4842 0.700 0.224 0.776 0.000
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.0000 0.994 1.000 0.000 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 3 0.0000 0.965 0.000 0.000 1.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.0000 0.959 0.000 1.000 0.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 3 0.0000 0.965 0.000 0.000 1.000
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.0000 0.994 1.000 0.000 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0000 0.994 1.000 0.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 3 0.0000 0.965 0.000 0.000 1.000
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0000 0.994 1.000 0.000 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 3 0.0000 0.965 0.000 0.000 1.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 3 0.0000 0.965 0.000 0.000 1.000
#> DD51C17C-300F-44A4-955A-C9BC85417842 1 0.0000 0.994 1.000 0.000 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0000 0.994 1.000 0.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.0000 0.994 1.000 0.000 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 3 0.0000 0.965 0.000 0.000 1.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.0000 0.965 0.000 0.000 1.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 3 0.4483 0.807 0.128 0.024 0.848
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.959 0.000 1.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.959 0.000 1.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.0000 0.994 1.000 0.000 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 1 0.5882 0.440 0.652 0.000 0.348
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 3 0.0000 0.965 0.000 0.000 1.000
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0000 0.994 1.000 0.000 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0000 0.994 1.000 0.000 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.0000 0.994 1.000 0.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.0000 0.994 1.000 0.000 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 2 0.4887 0.695 0.228 0.772 0.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0000 0.994 1.000 0.000 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.959 0.000 1.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.0000 0.994 1.000 0.000 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.0000 0.994 1.000 0.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 3 0.0000 0.965 0.000 0.000 1.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.959 0.000 1.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.959 0.000 1.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.994 1.000 0.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.959 0.000 1.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.959 0.000 1.000 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0000 0.994 1.000 0.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0000 0.994 1.000 0.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.959 0.000 1.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.959 0.000 1.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.0000 0.994 1.000 0.000 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.994 1.000 0.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0000 0.994 1.000 0.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.959 0.000 1.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0000 0.994 1.000 0.000 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.959 0.000 1.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.994 1.000 0.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 3 0.0000 0.965 0.000 0.000 1.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 3 0.0000 0.965 0.000 0.000 1.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.0000 0.994 1.000 0.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.994 1.000 0.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.959 0.000 1.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.994 1.000 0.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 3 0.0000 0.965 0.000 0.000 1.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0000 0.994 1.000 0.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0000 0.994 1.000 0.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0000 0.994 1.000 0.000 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.994 1.000 0.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 3 0.0000 0.965 0.000 0.000 1.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.0000 0.994 1.000 0.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0000 0.994 1.000 0.000 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0000 0.994 1.000 0.000 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.0000 0.965 0.000 0.000 1.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.994 1.000 0.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.959 0.000 1.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.994 1.000 0.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.0000 0.959 0.000 1.000 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.994 1.000 0.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.994 1.000 0.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.994 1.000 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.959 0.000 1.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 2 0.5216 0.653 0.260 0.740 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.0000 0.965 0.000 0.000 1.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.0000 0.994 1.000 0.000 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.0000 0.959 0.000 1.000 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.0000 0.965 0.000 0.000 1.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.0000 0.994 1.000 0.000 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.994 1.000 0.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.994 1.000 0.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.959 0.000 1.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.994 1.000 0.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.959 0.000 1.000 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.994 1.000 0.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.0000 0.965 0.000 0.000 1.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.0000 0.994 1.000 0.000 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.959 0.000 1.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.4002 0.800 0.840 0.160 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 3 0.0000 0.965 0.000 0.000 1.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.0000 0.994 1.000 0.000 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.0000 0.994 1.000 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.0000 0.994 1.000 0.000 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.0000 0.965 0.000 0.000 1.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.0000 0.965 0.000 0.000 1.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.994 1.000 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 3 0.0000 0.965 0.000 0.000 1.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.959 0.000 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.959 0.000 1.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.965 0.000 0.000 1.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.994 1.000 0.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 3 0.1860 0.910 0.052 0.000 0.948
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.994 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.2892 0.6963 0.000 0.036 0.896 0.068
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 4 0.0000 0.9162 0.000 0.000 0.000 1.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.1118 0.8200 0.036 0.000 0.964 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 3 0.4855 0.5365 0.400 0.000 0.600 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.1356 0.7640 0.000 0.008 0.960 0.032
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0707 0.9497 0.000 0.980 0.020 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.2530 0.8708 0.112 0.000 0.888 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 3 0.3610 0.8333 0.200 0.000 0.800 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 3 0.4164 0.7633 0.264 0.000 0.736 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.2868 0.8809 0.136 0.000 0.864 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.1489 0.9531 0.044 0.952 0.004 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 4 0.0000 0.9162 0.000 0.000 0.000 1.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.2868 0.8809 0.136 0.000 0.864 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.3243 0.8505 0.088 0.000 0.876 0.036
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 3 0.3439 0.8361 0.084 0.000 0.868 0.048
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0707 0.9497 0.000 0.980 0.020 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.1182 0.8019 0.016 0.000 0.968 0.016
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 3 0.4994 -0.0397 0.000 0.000 0.520 0.480
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.5000 -0.2410 0.504 0.000 0.496 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.2868 0.8809 0.136 0.000 0.864 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0707 0.9497 0.000 0.980 0.020 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.1489 0.9531 0.044 0.952 0.004 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.1211 0.9534 0.960 0.000 0.040 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0592 0.9387 0.984 0.000 0.016 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0336 0.9327 0.992 0.000 0.008 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 3 0.2868 0.8809 0.136 0.000 0.864 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0817 0.9484 0.000 0.976 0.024 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 3 0.1022 0.8166 0.032 0.000 0.968 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 4 0.2714 0.8629 0.000 0.004 0.112 0.884
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 3 0.2921 0.8793 0.140 0.000 0.860 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 3 0.2868 0.8809 0.136 0.000 0.864 0.000
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#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 4 0.0000 0.9162 0.000 0.000 0.000 1.000
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 1 0.2918 0.7905 0.876 0.116 0.008 0.000
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 3 0.2868 0.8809 0.136 0.000 0.864 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 4 0.0000 0.9162 0.000 0.000 0.000 1.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.1545 0.9447 0.008 0.952 0.040 0.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 4 0.0000 0.9162 0.000 0.000 0.000 1.000
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 3 0.2868 0.8809 0.136 0.000 0.864 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 4 0.0000 0.9162 0.000 0.000 0.000 1.000
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 4 0.4804 0.5439 0.000 0.000 0.384 0.616
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 4 0.3649 0.8167 0.000 0.000 0.204 0.796
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.0817 0.8096 0.024 0.000 0.976 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 3 0.2214 0.7213 0.000 0.044 0.928 0.028
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 4 0.0000 0.9162 0.000 0.000 0.000 1.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 3 0.1557 0.7339 0.000 0.056 0.944 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.1118 0.9542 0.036 0.964 0.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.1118 0.9542 0.036 0.964 0.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.2868 0.8809 0.136 0.000 0.864 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.0895 0.8059 0.020 0.000 0.976 0.004
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 4 0.0000 0.9162 0.000 0.000 0.000 1.000
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.1716 0.9357 0.936 0.000 0.064 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.1389 0.9519 0.952 0.000 0.048 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.2921 0.8794 0.140 0.000 0.860 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.2888 0.7830 0.872 0.124 0.004 0.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 3 0.2868 0.8809 0.136 0.000 0.864 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0592 0.9505 0.000 0.984 0.016 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.3837 0.6815 0.776 0.000 0.224 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.2589 0.8723 0.116 0.000 0.884 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 4 0.0000 0.9162 0.000 0.000 0.000 1.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.1489 0.9531 0.044 0.952 0.004 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0707 0.9497 0.000 0.980 0.020 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 3 0.2868 0.8809 0.136 0.000 0.864 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.1489 0.9531 0.044 0.952 0.004 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.1489 0.9531 0.044 0.952 0.004 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 3 0.2868 0.8809 0.136 0.000 0.864 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.4382 0.6584 0.000 0.704 0.296 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.1118 0.9542 0.036 0.964 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.2760 0.8782 0.128 0.000 0.872 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 3 0.2868 0.8809 0.136 0.000 0.864 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0817 0.9484 0.000 0.976 0.024 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 3 0.2868 0.8809 0.136 0.000 0.864 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.1489 0.9531 0.044 0.952 0.004 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 4 0.2281 0.8629 0.000 0.000 0.096 0.904
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 4 0.4941 0.3111 0.000 0.000 0.436 0.564
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.2868 0.8809 0.136 0.000 0.864 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.1118 0.9542 0.036 0.964 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.2868 0.8809 0.136 0.000 0.864 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 4 0.0817 0.9054 0.000 0.000 0.024 0.976
#> D365A238-4739-4B54-9608-DC548F21C04E 3 0.2921 0.8794 0.140 0.000 0.860 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.2868 0.8809 0.136 0.000 0.864 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0336 0.9327 0.992 0.000 0.008 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 4 0.3688 0.7486 0.000 0.000 0.208 0.792
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.2868 0.8809 0.136 0.000 0.864 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0336 0.9327 0.992 0.000 0.008 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 4 0.0000 0.9162 0.000 0.000 0.000 1.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 3 0.2868 0.8809 0.136 0.000 0.864 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.2814 0.8651 0.000 0.868 0.132 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 3 0.2921 0.8794 0.140 0.000 0.860 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.3448 0.8167 0.168 0.828 0.004 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.2589 0.8705 0.884 0.000 0.116 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0707 0.9497 0.000 0.980 0.020 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.2859 0.7963 0.880 0.112 0.008 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 4 0.0000 0.9162 0.000 0.000 0.000 1.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 3 0.4328 0.6635 0.244 0.008 0.748 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.1489 0.9531 0.044 0.952 0.004 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.4998 -0.0881 0.000 0.000 0.512 0.488
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.1118 0.8200 0.036 0.000 0.964 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 3 0.2868 0.8809 0.136 0.000 0.864 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.1489 0.9531 0.044 0.952 0.004 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 3 0.4277 0.7433 0.280 0.000 0.720 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.3196 0.8666 0.008 0.856 0.136 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 4 0.0000 0.9162 0.000 0.000 0.000 1.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.1022 0.8166 0.032 0.000 0.968 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.1489 0.9531 0.044 0.952 0.004 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0336 0.9200 0.992 0.000 0.008 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 4 0.0000 0.9162 0.000 0.000 0.000 1.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.1389 0.9531 0.952 0.000 0.048 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.2868 0.8809 0.136 0.000 0.864 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.2081 0.8553 0.084 0.000 0.916 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 4 0.3569 0.8189 0.000 0.000 0.196 0.804
#> 835AAE7F-F873-4D11-8845-232D261A38DF 4 0.4992 0.1761 0.000 0.000 0.476 0.524
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0592 0.9387 0.984 0.000 0.016 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 4 0.0000 0.9162 0.000 0.000 0.000 1.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0707 0.9497 0.000 0.980 0.020 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0707 0.9497 0.000 0.980 0.020 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.2281 0.7142 0.000 0.000 0.904 0.096
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.1302 0.9553 0.956 0.000 0.044 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 3 0.1452 0.7839 0.008 0.000 0.956 0.036
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.1302 0.9553 0.956 0.000 0.044 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.2773 0.7684 0.000 0.000 0.164 0.836 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 5 0.0510 0.9283 0.000 0.000 0.000 0.016 0.984
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.2813 0.7266 0.000 0.000 0.832 0.168 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.2358 0.9125 0.888 0.000 0.008 0.104 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.1331 0.9280 0.952 0.000 0.008 0.040 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 3 0.4855 0.6510 0.168 0.000 0.720 0.112 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 4 0.3177 0.7314 0.000 0.000 0.208 0.792 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.1851 0.9251 0.000 0.912 0.000 0.088 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.0290 0.8423 0.000 0.000 0.992 0.008 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 3 0.3477 0.7708 0.056 0.000 0.832 0.112 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.2522 0.9089 0.880 0.000 0.012 0.108 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 3 0.3849 0.7503 0.080 0.000 0.808 0.112 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0290 0.8423 0.000 0.000 0.992 0.008 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0290 0.9397 0.008 0.992 0.000 0.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 5 0.0510 0.9283 0.000 0.000 0.000 0.016 0.984
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0290 0.8423 0.000 0.000 0.992 0.008 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0162 0.8422 0.000 0.000 0.996 0.004 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.1331 0.9285 0.952 0.000 0.008 0.040 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 3 0.1478 0.8101 0.000 0.000 0.936 0.064 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0579 0.9260 0.984 0.000 0.008 0.008 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.2020 0.9190 0.000 0.900 0.000 0.100 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.3427 0.8760 0.836 0.000 0.056 0.108 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.2358 0.9126 0.888 0.000 0.008 0.104 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.2522 0.9089 0.880 0.000 0.012 0.108 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.1908 0.7872 0.000 0.000 0.908 0.092 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 3 0.5600 0.3270 0.000 0.000 0.588 0.096 0.316
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.5122 0.6127 0.200 0.000 0.688 0.112 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.0290 0.8431 0.000 0.000 0.992 0.008 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.1410 0.9353 0.000 0.940 0.000 0.060 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0290 0.9397 0.008 0.992 0.000 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0579 0.9260 0.984 0.000 0.008 0.008 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0579 0.9260 0.984 0.000 0.008 0.008 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0451 0.9270 0.988 0.000 0.008 0.004 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 3 0.0162 0.8432 0.000 0.000 0.996 0.004 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.2471 0.8920 0.000 0.864 0.000 0.136 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.1408 0.9282 0.948 0.000 0.008 0.044 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 3 0.1270 0.8222 0.000 0.000 0.948 0.052 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 4 0.3274 0.6901 0.000 0.000 0.000 0.780 0.220
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 3 0.2574 0.8009 0.012 0.000 0.876 0.112 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 3 0.0162 0.8422 0.000 0.000 0.996 0.004 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.9402 0.000 1.000 0.000 0.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.0451 0.9288 0.988 0.000 0.008 0.004 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0609 0.8372 0.000 0.000 0.980 0.020 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0798 0.9296 0.976 0.000 0.008 0.016 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.1608 0.8282 0.000 0.000 0.928 0.072 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 3 0.0000 0.8429 0.000 0.000 1.000 0.000 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.2522 0.9089 0.880 0.000 0.012 0.108 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0609 0.9411 0.000 0.980 0.000 0.020 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0290 0.8423 0.000 0.000 0.992 0.008 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.1478 0.9321 0.000 0.936 0.000 0.064 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.2249 0.9155 0.896 0.000 0.008 0.096 0.000
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#> DCD0313D-5206-4111-8743-A8A0227257D9 5 0.0510 0.9283 0.000 0.000 0.000 0.016 0.984
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.2522 0.9089 0.880 0.000 0.012 0.108 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 1 0.0912 0.9104 0.972 0.016 0.000 0.012 0.000
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 3 0.0162 0.8422 0.000 0.000 0.996 0.004 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 5 0.0000 0.9288 0.000 0.000 0.000 0.000 1.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.3756 0.7160 0.008 0.744 0.000 0.248 0.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 5 0.0000 0.9288 0.000 0.000 0.000 0.000 1.000
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 3 0.0162 0.8432 0.000 0.000 0.996 0.004 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.2358 0.9125 0.888 0.000 0.008 0.104 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 5 0.0000 0.9288 0.000 0.000 0.000 0.000 1.000
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.1557 0.9272 0.940 0.000 0.008 0.052 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 4 0.4057 0.7687 0.000 0.000 0.120 0.792 0.088
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 4 0.4316 0.7535 0.000 0.000 0.108 0.772 0.120
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.4256 0.1692 0.000 0.000 0.564 0.436 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.2411 0.9108 0.884 0.000 0.008 0.108 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.1956 0.9228 0.916 0.000 0.008 0.076 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 4 0.2471 0.7834 0.000 0.000 0.136 0.864 0.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 5 0.0000 0.9288 0.000 0.000 0.000 0.000 1.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 4 0.2280 0.7891 0.000 0.000 0.120 0.880 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0609 0.9411 0.000 0.980 0.000 0.020 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0510 0.9411 0.000 0.984 0.000 0.016 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.0162 0.8422 0.000 0.000 0.996 0.004 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.4088 0.3740 0.000 0.000 0.632 0.368 0.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 5 0.0510 0.9283 0.000 0.000 0.000 0.016 0.984
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.5250 0.6429 0.668 0.000 0.224 0.108 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.5076 0.6807 0.692 0.000 0.200 0.108 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.1768 0.8261 0.004 0.000 0.924 0.072 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.0693 0.9245 0.980 0.000 0.008 0.012 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.1106 0.9074 0.964 0.024 0.000 0.012 0.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 3 0.1478 0.8301 0.000 0.000 0.936 0.064 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.1410 0.9354 0.000 0.940 0.000 0.060 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.5578 0.5441 0.616 0.000 0.272 0.112 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.0290 0.8423 0.000 0.000 0.992 0.008 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 5 0.0000 0.9288 0.000 0.000 0.000 0.000 1.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0290 0.9397 0.008 0.992 0.000 0.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.3210 0.8082 0.000 0.788 0.000 0.212 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 3 0.0609 0.8365 0.000 0.000 0.980 0.020 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0290 0.9397 0.008 0.992 0.000 0.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0566 0.9395 0.012 0.984 0.000 0.004 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.3558 0.8685 0.828 0.000 0.064 0.108 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 3 0.0703 0.8408 0.000 0.000 0.976 0.024 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 4 0.3043 0.7846 0.000 0.056 0.080 0.864 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0609 0.9411 0.000 0.980 0.000 0.020 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.0290 0.8423 0.000 0.000 0.992 0.008 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.1331 0.9278 0.952 0.000 0.008 0.040 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 3 0.0000 0.8429 0.000 0.000 1.000 0.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.2843 0.8864 0.008 0.848 0.000 0.144 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 3 0.0000 0.8429 0.000 0.000 1.000 0.000 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0290 0.9397 0.008 0.992 0.000 0.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.1331 0.9280 0.952 0.000 0.008 0.040 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 5 0.3702 0.7659 0.000 0.000 0.096 0.084 0.820
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 3 0.5696 0.2576 0.000 0.000 0.560 0.096 0.344
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.0000 0.8429 0.000 0.000 1.000 0.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0579 0.9260 0.984 0.000 0.008 0.008 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0609 0.9411 0.000 0.980 0.000 0.020 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.0000 0.8429 0.000 0.000 1.000 0.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 5 0.2351 0.8652 0.000 0.000 0.016 0.088 0.896
#> D365A238-4739-4B54-9608-DC548F21C04E 3 0.2011 0.8189 0.004 0.000 0.908 0.088 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.0000 0.8429 0.000 0.000 1.000 0.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0579 0.9260 0.984 0.000 0.008 0.008 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.2411 0.9108 0.884 0.000 0.008 0.108 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 5 0.5433 0.4194 0.000 0.000 0.288 0.092 0.620
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.0162 0.8429 0.000 0.000 0.996 0.004 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0898 0.9297 0.972 0.000 0.008 0.020 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0579 0.9260 0.984 0.000 0.008 0.008 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 5 0.0510 0.9283 0.000 0.000 0.000 0.016 0.984
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 3 0.0404 0.8429 0.000 0.000 0.988 0.012 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 4 0.3242 0.6425 0.000 0.216 0.000 0.784 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 3 0.2574 0.8009 0.012 0.000 0.876 0.112 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.3318 0.7126 0.180 0.808 0.000 0.012 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.2522 0.9096 0.880 0.000 0.012 0.108 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.3912 0.8424 0.804 0.000 0.088 0.108 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 3 0.5535 0.5054 0.272 0.000 0.620 0.108 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.2074 0.9166 0.000 0.896 0.000 0.104 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.0807 0.9133 0.976 0.012 0.000 0.012 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 5 0.0000 0.9288 0.000 0.000 0.000 0.000 1.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 4 0.5312 0.5517 0.248 0.000 0.100 0.652 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.2248 0.8511 0.088 0.900 0.000 0.012 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.5584 0.3350 0.000 0.000 0.592 0.096 0.312
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.2424 0.7581 0.000 0.000 0.868 0.132 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.1331 0.9280 0.952 0.000 0.008 0.040 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 3 0.1410 0.8315 0.000 0.000 0.940 0.060 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0290 0.9397 0.008 0.992 0.000 0.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 3 0.4016 0.7390 0.092 0.000 0.796 0.112 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.3424 0.6342 0.000 0.240 0.000 0.760 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.2361 0.9139 0.892 0.000 0.012 0.096 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 5 0.0000 0.9288 0.000 0.000 0.000 0.000 1.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.3966 0.4529 0.000 0.000 0.664 0.336 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.1408 0.9081 0.044 0.948 0.000 0.008 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0404 0.9200 0.988 0.000 0.000 0.012 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 5 0.0000 0.9288 0.000 0.000 0.000 0.000 1.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.1764 0.9257 0.928 0.000 0.008 0.064 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0162 0.8429 0.000 0.000 0.996 0.004 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.0794 0.8345 0.000 0.000 0.972 0.028 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 4 0.6041 0.3629 0.000 0.000 0.128 0.516 0.356
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.5616 0.2220 0.000 0.000 0.552 0.084 0.364
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0579 0.9279 0.984 0.000 0.008 0.008 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.0510 0.9283 0.000 0.000 0.000 0.016 0.984
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.2074 0.9166 0.000 0.896 0.000 0.104 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.3210 0.8082 0.000 0.788 0.000 0.212 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.3262 0.7279 0.000 0.000 0.840 0.124 0.036
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0579 0.9283 0.984 0.000 0.008 0.008 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 3 0.2074 0.7774 0.000 0.000 0.896 0.104 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0451 0.9270 0.988 0.000 0.008 0.004 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.1003 0.84630 0.000 0.000 0.016 0.964 0.020 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 6 0.2312 0.84095 0.000 0.000 0.000 0.012 0.112 0.876
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.3962 0.63547 0.000 0.000 0.764 0.116 0.120 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.3659 0.46319 0.636 0.000 0.000 0.000 0.364 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.3448 0.55491 0.716 0.000 0.000 0.004 0.280 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 3 0.5479 -0.57284 0.108 0.000 0.472 0.004 0.416 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 4 0.2325 0.81719 0.000 0.000 0.048 0.892 0.060 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.2954 0.82985 0.000 0.844 0.000 0.048 0.108 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.1007 0.69909 0.000 0.000 0.956 0.000 0.044 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 3 0.4410 -0.24585 0.028 0.000 0.560 0.000 0.412 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.3737 0.41316 0.608 0.000 0.000 0.000 0.392 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 3 0.4829 -0.39854 0.056 0.000 0.520 0.000 0.424 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.1327 0.69549 0.000 0.000 0.936 0.000 0.064 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.1910 0.84725 0.000 0.892 0.000 0.000 0.108 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 6 0.2218 0.84216 0.000 0.000 0.000 0.012 0.104 0.884
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.1075 0.69840 0.000 0.000 0.952 0.000 0.048 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.2320 0.67475 0.000 0.000 0.864 0.004 0.132 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.2178 0.67011 0.868 0.000 0.000 0.000 0.132 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 3 0.4271 0.57893 0.000 0.000 0.696 0.060 0.244 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0291 0.69358 0.992 0.000 0.000 0.004 0.004 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.3196 0.82206 0.000 0.828 0.000 0.064 0.108 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.5587 -0.18443 0.476 0.000 0.124 0.004 0.396 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.3717 0.43076 0.616 0.000 0.000 0.000 0.384 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.4494 0.26139 0.544 0.000 0.032 0.000 0.424 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.3481 0.64989 0.000 0.000 0.792 0.048 0.160 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 3 0.6589 0.32431 0.000 0.000 0.528 0.104 0.236 0.132
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.5478 -0.57108 0.124 0.000 0.452 0.000 0.424 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.0547 0.70119 0.000 0.000 0.980 0.000 0.020 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.2558 0.83953 0.000 0.868 0.000 0.028 0.104 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.1910 0.84725 0.000 0.892 0.000 0.000 0.108 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0260 0.69040 0.992 0.000 0.000 0.000 0.008 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0632 0.69313 0.976 0.000 0.000 0.000 0.024 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.1075 0.69357 0.952 0.000 0.000 0.000 0.048 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 3 0.1267 0.69799 0.000 0.000 0.940 0.000 0.060 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.4277 0.74569 0.000 0.732 0.000 0.144 0.124 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.2562 0.66030 0.828 0.000 0.000 0.000 0.172 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 3 0.2954 0.68328 0.000 0.000 0.844 0.048 0.108 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 4 0.1049 0.84749 0.000 0.000 0.000 0.960 0.008 0.032
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 3 0.4018 -0.17567 0.008 0.000 0.580 0.000 0.412 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 3 0.1556 0.69541 0.000 0.000 0.920 0.000 0.080 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.1910 0.84725 0.000 0.892 0.000 0.000 0.108 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.1285 0.69661 0.944 0.000 0.000 0.004 0.052 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.1890 0.69236 0.000 0.000 0.916 0.024 0.060 0.000
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#> 344B9631-AAA5-4302-8747-D584345D9131 3 0.1141 0.69793 0.000 0.000 0.948 0.000 0.052 0.000
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#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.1910 0.84725 0.000 0.892 0.000 0.000 0.108 0.000
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#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.5185 0.01977 0.512 0.000 0.092 0.000 0.396 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 3 0.1387 0.69661 0.000 0.000 0.932 0.000 0.068 0.000
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#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.3215 0.58191 0.756 0.000 0.000 0.004 0.240 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 3 0.1007 0.70100 0.000 0.000 0.956 0.000 0.044 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.4672 0.70546 0.000 0.684 0.000 0.188 0.128 0.000
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#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.1910 0.84725 0.000 0.892 0.000 0.000 0.108 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.3405 0.56219 0.724 0.000 0.000 0.004 0.272 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 6 0.6070 0.60535 0.000 0.000 0.100 0.084 0.228 0.588
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 3 0.6632 0.30859 0.000 0.000 0.524 0.104 0.232 0.140
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.0547 0.70118 0.000 0.000 0.980 0.000 0.020 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0790 0.69387 0.968 0.000 0.000 0.000 0.032 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.1075 0.85590 0.000 0.952 0.000 0.000 0.048 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.0260 0.69999 0.000 0.000 0.992 0.000 0.008 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 6 0.4674 0.71607 0.000 0.000 0.008 0.080 0.228 0.684
#> D365A238-4739-4B54-9608-DC548F21C04E 3 0.2697 0.54202 0.000 0.000 0.812 0.000 0.188 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.0790 0.69611 0.000 0.000 0.968 0.000 0.032 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0260 0.69000 0.992 0.000 0.000 0.000 0.008 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.3819 0.44694 0.624 0.000 0.000 0.004 0.372 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 6 0.7089 0.33709 0.000 0.000 0.288 0.084 0.228 0.400
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#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.1141 0.69619 0.948 0.000 0.000 0.000 0.052 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0363 0.69103 0.988 0.000 0.000 0.000 0.012 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 6 0.2019 0.84355 0.000 0.000 0.000 0.012 0.088 0.900
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 3 0.1007 0.69299 0.000 0.000 0.956 0.000 0.044 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 4 0.2905 0.78469 0.000 0.064 0.000 0.852 0.084 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 3 0.4025 -0.17721 0.008 0.000 0.576 0.000 0.416 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.5657 0.25071 0.412 0.436 0.000 0.000 0.152 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.4301 0.34115 0.580 0.000 0.016 0.004 0.400 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 5 0.5917 0.52525 0.392 0.000 0.208 0.000 0.400 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 5 0.5909 0.75299 0.208 0.000 0.372 0.000 0.420 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.3252 0.81988 0.000 0.824 0.000 0.068 0.108 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.1863 0.64415 0.896 0.000 0.000 0.000 0.104 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 6 0.0000 0.84058 0.000 0.000 0.000 0.000 0.000 1.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 4 0.7059 0.28141 0.324 0.000 0.084 0.388 0.204 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.5205 0.50712 0.268 0.596 0.000 0.000 0.136 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.6474 0.34489 0.000 0.000 0.544 0.104 0.232 0.120
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.3268 0.64455 0.000 0.000 0.824 0.076 0.100 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.3244 0.56708 0.732 0.000 0.000 0.000 0.268 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 3 0.1327 0.68378 0.000 0.000 0.936 0.000 0.064 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.1910 0.84725 0.000 0.892 0.000 0.000 0.108 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 3 0.4962 -0.42968 0.068 0.000 0.516 0.000 0.416 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.5007 0.69971 0.024 0.068 0.008 0.688 0.212 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.4102 0.46254 0.628 0.000 0.012 0.004 0.356 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 6 0.0000 0.84058 0.000 0.000 0.000 0.000 0.000 1.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.4532 0.55677 0.000 0.000 0.696 0.196 0.108 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.5444 0.57803 0.212 0.576 0.000 0.000 0.212 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.1387 0.66920 0.932 0.000 0.000 0.000 0.068 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 6 0.0000 0.84058 0.000 0.000 0.000 0.000 0.000 1.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.2762 0.64587 0.804 0.000 0.000 0.000 0.196 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.1204 0.69724 0.000 0.000 0.944 0.000 0.056 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.1967 0.69492 0.000 0.000 0.904 0.012 0.084 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 4 0.7482 0.11183 0.000 0.000 0.240 0.372 0.228 0.160
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.6153 0.31198 0.000 0.000 0.552 0.040 0.228 0.180
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.1556 0.68695 0.920 0.000 0.000 0.000 0.080 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 6 0.2531 0.83603 0.000 0.000 0.000 0.012 0.132 0.856
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.3252 0.81988 0.000 0.824 0.000 0.068 0.108 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.4587 0.68580 0.000 0.688 0.000 0.204 0.108 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.4592 0.54449 0.000 0.000 0.664 0.080 0.256 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0865 0.69675 0.964 0.000 0.000 0.000 0.036 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 3 0.4769 0.53183 0.000 0.000 0.656 0.104 0.240 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.1007 0.69430 0.956 0.000 0.000 0.000 0.044 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", "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 17469 rows and 309 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 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 0.988 0.995 0.5011 0.499 0.499
#> 3 3 0.968 0.929 0.973 0.3233 0.741 0.527
#> 4 4 0.963 0.938 0.974 0.1280 0.809 0.511
#> 5 5 0.892 0.877 0.930 0.0656 0.892 0.615
#> 6 6 0.827 0.805 0.880 0.0351 0.952 0.772
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.0000 0.993 1.000 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.0000 0.993 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.0000 0.993 1.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 2 0.0000 0.997 0.000 1.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 2 0.0000 0.997 0.000 1.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.7219 0.749 0.800 0.200
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 1 0.0000 0.993 1.000 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.997 0.000 1.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.0000 0.993 1.000 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.993 1.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 2 0.0000 0.997 0.000 1.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.993 1.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.0000 0.993 1.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.997 0.000 1.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.0000 0.993 1.000 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.0000 0.993 1.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.0000 0.993 1.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 2 0.0000 0.997 0.000 1.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.993 1.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 2 0.0000 0.997 0.000 1.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.997 0.000 1.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 2 0.0000 0.997 0.000 1.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 2 0.0000 0.997 0.000 1.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 2 0.0000 0.997 0.000 1.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.0000 0.993 1.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0000 0.993 1.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 2 0.0000 0.997 0.000 1.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0000 0.993 1.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.997 0.000 1.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.997 0.000 1.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 2 0.0000 0.997 0.000 1.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 2 0.0000 0.997 0.000 1.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 2 0.0000 0.997 0.000 1.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.993 1.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.997 0.000 1.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 2 0.0000 0.997 0.000 1.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.0000 0.993 1.000 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 1 0.0000 0.993 1.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.993 1.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.993 1.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.997 0.000 1.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 2 0.0000 0.997 0.000 1.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.0000 0.993 1.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 2 0.0000 0.997 0.000 1.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.0000 0.993 1.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0000 0.993 1.000 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 2 0.0000 0.997 0.000 1.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.997 0.000 1.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.0000 0.993 1.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.997 0.000 1.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 2 0.0000 0.997 0.000 1.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 1 0.0000 0.993 1.000 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.0000 0.993 1.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 2 0.0000 0.997 0.000 1.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0000 0.993 1.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 2 0.0000 0.997 0.000 1.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 1 0.0000 0.993 1.000 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 2 0.0000 0.997 0.000 1.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 1 0.0000 0.993 1.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 2 0.0000 0.997 0.000 1.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 2 0.0000 0.997 0.000 1.000
#> 09758B6F-1B2D-4AED-8913-696097069409 2 0.0000 0.997 0.000 1.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 2 0.0000 0.997 0.000 1.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.993 1.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.997 0.000 1.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 1 0.0000 0.993 1.000 0.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 2 0.0000 0.997 0.000 1.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.0000 0.993 1.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 1 0.0000 0.993 1.000 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.997 0.000 1.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0000 0.993 1.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0000 0.993 1.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.0000 0.993 1.000 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 2 0.8763 0.577 0.296 0.704
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 2 0.0000 0.997 0.000 1.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.993 1.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 2 0.0000 0.997 0.000 1.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.997 0.000 1.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 1 0.0000 0.993 1.000 0.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 1 0.0000 0.993 1.000 0.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0000 0.993 1.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 1 0.0000 0.993 1.000 0.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0000 0.993 1.000 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.993 1.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.993 1.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 2 0.0000 0.997 0.000 1.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 2 0.0000 0.997 0.000 1.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.997 0.000 1.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 1 0.0000 0.993 1.000 0.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 1 0.0000 0.993 1.000 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 2 0.0672 0.989 0.008 0.992
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.0000 0.993 1.000 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.997 0.000 1.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.0000 0.993 1.000 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 2 0.0000 0.997 0.000 1.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 2 0.0000 0.997 0.000 1.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 2 0.0000 0.997 0.000 1.000
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 2 0.0000 0.997 0.000 1.000
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 2 0.0000 0.997 0.000 1.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 1 0.1184 0.977 0.984 0.016
#> 00439565-02CE-4BF5-956D-7078B51C0947 1 0.0000 0.993 1.000 0.000
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.997 0.000 1.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.997 0.000 1.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 2 0.0000 0.997 0.000 1.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.0000 0.993 1.000 0.000
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.997 0.000 1.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 2 0.0000 0.997 0.000 1.000
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 1 0.0000 0.993 1.000 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 2 0.0000 0.997 0.000 1.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 2 0.0000 0.997 0.000 1.000
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.997 0.000 1.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 2 0.0000 0.997 0.000 1.000
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 1 0.0000 0.993 1.000 0.000
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 1 0.0000 0.993 1.000 0.000
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 2 0.0000 0.997 0.000 1.000
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.0000 0.993 1.000 0.000
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.0000 0.993 1.000 0.000
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 2 0.0000 0.997 0.000 1.000
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 2 0.0000 0.997 0.000 1.000
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 2 0.0000 0.997 0.000 1.000
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.0000 0.993 1.000 0.000
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.0000 0.993 1.000 0.000
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 1 0.0000 0.993 1.000 0.000
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 2 0.0000 0.997 0.000 1.000
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 2 0.0000 0.997 0.000 1.000
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 2 0.0000 0.997 0.000 1.000
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 1 0.0000 0.993 1.000 0.000
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 2 0.0000 0.997 0.000 1.000
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 1 0.0000 0.993 1.000 0.000
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 1 0.0000 0.993 1.000 0.000
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 2 0.0000 0.997 0.000 1.000
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 2 0.0000 0.997 0.000 1.000
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 1 0.0000 0.993 1.000 0.000
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 1 0.0000 0.993 1.000 0.000
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.0000 0.997 0.000 1.000
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0000 0.997 0.000 1.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 2 0.0000 0.997 0.000 1.000
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0000 0.997 0.000 1.000
#> 9492A322-37CA-4582-AC68-66B5D80778AF 2 0.0000 0.997 0.000 1.000
#> 993399A4-1B9F-4258-B2D0-155AD58A2E82 2 0.0000 0.997 0.000 1.000
#> 7B7DC93D-5494-4E69-BE07-2967887182F9 1 0.0000 0.993 1.000 0.000
#> 29BCBA51-2580-473D-9CF7-BEDBD0DBAD1B 2 0.0000 0.997 0.000 1.000
#> 40855647-E942-4F32-90B7-BEB921929BFB 1 0.0000 0.993 1.000 0.000
#> 0DC723D0-7C68-4495-A4B9-2DF2FF19AB14 2 0.0000 0.997 0.000 1.000
#> 7540005F-57E0-4E2E-A8A2-BEF2B0F333B1 2 0.0000 0.997 0.000 1.000
#> EB1DDB14-4076-4C2C-B911-390C17C21486 1 0.0000 0.993 1.000 0.000
#> 9EA70EC4-8BA0-4E3D-B3CB-A68D19E89868 1 0.0000 0.993 1.000 0.000
#> B04E2E50-0A6E-4224-A825-1714D12E5669 1 0.0000 0.993 1.000 0.000
#> B0BF5E01-536D-40FF-9C24-CBBD611E2FC2 1 0.0000 0.993 1.000 0.000
#> 7B6B1788-B297-4442-B6BE-B7CE8754491E 1 0.0000 0.993 1.000 0.000
#> A090D00C-34DF-4906-A517-4803C4C9A332 1 0.0000 0.993 1.000 0.000
#> 340D44A6-9BEA-412C-9973-D9ABD6692255 1 0.0000 0.993 1.000 0.000
#> E8D0D1E7-E5A8-4014-80C1-0245F90F4358 2 0.0000 0.997 0.000 1.000
#> 19EA1494-8572-40E1-B9BB-3739F47B607D 1 0.9833 0.268 0.576 0.424
#> 1C1B4793-8DAF-4763-BA4D-C4E869A4ED35 2 0.0000 0.997 0.000 1.000
#> 45BF59B3-95BD-4196-ABAA-4C4F0DB38572 1 0.0000 0.993 1.000 0.000
#> 47B5A2A7-7E13-4558-99D2-067F5075C6A4 2 0.0000 0.997 0.000 1.000
#> E94638E8-CB51-4FBB-8BCB-4BFD7A812291 2 0.0000 0.997 0.000 1.000
#> A17352A8-0D3C-4545-8136-7DAE2FB0E102 1 0.0000 0.993 1.000 0.000
#> B18A6F95-D4ED-416B-B5A1-9A4934865D0D 2 0.0000 0.997 0.000 1.000
#> 33E92C5F-0C42-4549-AD5B-0A064182A272 2 0.0000 0.997 0.000 1.000
#> E041B375-3E60-4F18-A6EF-D1C249E3B8EE 1 0.0000 0.993 1.000 0.000
#> EDF90AF6-6C64-4BD2-AADF-8D7D188650B2 2 0.0000 0.997 0.000 1.000
#> 569320D2-316C-4E2D-B7B3-D7D5C4DAD42D 1 0.0000 0.993 1.000 0.000
#> AFFB223D-DAE9-4567-9EF2-8E4DF9D8782D 2 0.5178 0.868 0.116 0.884
#> 56FC9454-0A6A-4CC3-95C4-BE0E0D0BAFCE 2 0.0000 0.997 0.000 1.000
#> 43226365-FAEF-46C5-AF1B-5C6C2BED84FF 2 0.0000 0.997 0.000 1.000
#> 1536110A-B42A-4A84-9474-9895321FDCE9 2 0.0000 0.997 0.000 1.000
#> 812255DD-536B-4216-90B1-27D5AB339BE2 2 0.0000 0.997 0.000 1.000
#> 5D4563D6-68B7-4C9D-A3F4-AA7D45D5112C 2 0.0000 0.997 0.000 1.000
#> BAA39781-DB94-473C-98B1-FA6CD3E1C67A 2 0.0000 0.997 0.000 1.000
#> C1411CDA-814D-4E21-8929-C0F77858828F 1 0.0000 0.993 1.000 0.000
#> EFE2F248-C13E-4E8D-9153-8C903848AC4A 2 0.0000 0.997 0.000 1.000
#> D3939C84-D1D6-4060-9F91-AEB222A9BDD5 2 0.0000 0.997 0.000 1.000
#> EABD2987-8C1E-49E5-94AF-C0BDE5335A48 1 0.0000 0.993 1.000 0.000
#> F4BE2ABE-2CEB-4A6A-B8EC-0355F8C63B9B 1 0.0000 0.993 1.000 0.000
#> 627BC251-D217-4955-B718-6B9D6DEA1756 1 0.0000 0.993 1.000 0.000
#> 31B54613-A20E-4039-BB8B-9B52104CE418 2 0.0000 0.997 0.000 1.000
#> 3F292B7C-A535-4DBD-BC20-CB4F85A1C94B 1 0.0000 0.993 1.000 0.000
#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 1 0.0000 0.993 1.000 0.000
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.0000 0.997 0.000 1.000
#> 4588817E-1068-4A78-86B6-4674A0112DDA 2 0.0000 0.997 0.000 1.000
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 1 0.0000 0.993 1.000 0.000
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 2 0.0000 0.997 0.000 1.000
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 2 0.1633 0.973 0.024 0.976
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.0000 0.997 0.000 1.000
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 2 0.0000 0.997 0.000 1.000
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 1 0.0000 0.993 1.000 0.000
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.0000 0.997 0.000 1.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.0000 0.997 0.000 1.000
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.0000 0.997 0.000 1.000
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.0000 0.993 1.000 0.000
#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.0000 0.993 1.000 0.000
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.0000 0.993 1.000 0.000
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.0000 0.993 1.000 0.000
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.0000 0.993 1.000 0.000
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0000 0.997 0.000 1.000
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.0000 0.993 1.000 0.000
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 2 0.0000 0.997 0.000 1.000
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 2 0.0000 0.997 0.000 1.000
#> 297611E9-9555-4BCA-A723-02E846ACC23A 2 0.0000 0.997 0.000 1.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 1 0.0000 0.993 1.000 0.000
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.0000 0.993 1.000 0.000
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0000 0.993 1.000 0.000
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 2 0.0000 0.997 0.000 1.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.0000 0.993 1.000 0.000
#> 331A9160-D730-45DD-A985-C6CAC03035ED 2 0.0000 0.997 0.000 1.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 2 0.0000 0.997 0.000 1.000
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.0000 0.993 1.000 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 1 0.0000 0.993 1.000 0.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.0000 0.997 0.000 1.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 1 0.0000 0.993 1.000 0.000
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.0000 0.993 1.000 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 2 0.0000 0.997 0.000 1.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.0000 0.993 1.000 0.000
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 2 0.0000 0.997 0.000 1.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 1 0.0000 0.993 1.000 0.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 1 0.0000 0.993 1.000 0.000
#> DD51C17C-300F-44A4-955A-C9BC85417842 1 0.0000 0.993 1.000 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 2 0.0000 0.997 0.000 1.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 2 0.0000 0.997 0.000 1.000
#> B2088466-FA5D-491C-9982-99B33683E66F 1 0.0000 0.993 1.000 0.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 1 0.0000 0.993 1.000 0.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 1 0.0000 0.993 1.000 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.997 0.000 1.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.997 0.000 1.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.0000 0.993 1.000 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 1 0.0000 0.993 1.000 0.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.0000 0.993 1.000 0.000
#> B55743F2-4D63-4375-85D3-F58281CFD852 2 0.0000 0.997 0.000 1.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 2 0.0000 0.997 0.000 1.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.9460 0.431 0.636 0.364
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 2 0.0000 0.997 0.000 1.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 2 0.0000 0.997 0.000 1.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0000 0.993 1.000 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.997 0.000 1.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 2 0.0000 0.997 0.000 1.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.0000 0.993 1.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.0000 0.993 1.000 0.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.997 0.000 1.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.997 0.000 1.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.993 1.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.997 0.000 1.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.997 0.000 1.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 2 0.0000 0.997 0.000 1.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0000 0.993 1.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 1 0.0000 0.993 1.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.997 0.000 1.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.0000 0.993 1.000 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 2 0.0000 0.997 0.000 1.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0000 0.993 1.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.997 0.000 1.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0000 0.993 1.000 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.997 0.000 1.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 2 0.0000 0.997 0.000 1.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.993 1.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.993 1.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.0000 0.993 1.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 2 0.0000 0.997 0.000 1.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.997 0.000 1.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.993 1.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.993 1.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0000 0.993 1.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0000 0.993 1.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 2 0.0000 0.997 0.000 1.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 2 0.0000 0.997 0.000 1.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0000 0.993 1.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.0000 0.993 1.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 2 0.0000 0.997 0.000 1.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 2 0.0000 0.997 0.000 1.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.0000 0.993 1.000 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.993 1.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.997 0.000 1.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.993 1.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.0000 0.997 0.000 1.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 2 0.0000 0.997 0.000 1.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 2 0.0000 0.997 0.000 1.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 2 0.4298 0.902 0.088 0.912
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.997 0.000 1.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 2 0.0000 0.997 0.000 1.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 1 0.0000 0.993 1.000 0.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 2 0.0000 0.997 0.000 1.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.0000 0.997 0.000 1.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.0000 0.993 1.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.0000 0.993 1.000 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 2 0.0000 0.997 0.000 1.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.993 1.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.997 0.000 1.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.993 1.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.997 0.000 1.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 2 0.0000 0.997 0.000 1.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.0000 0.993 1.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.0000 0.993 1.000 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.997 0.000 1.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 2 0.0000 0.997 0.000 1.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0000 0.993 1.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 2 0.0000 0.997 0.000 1.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.0000 0.993 1.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.0000 0.993 1.000 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.0000 0.993 1.000 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.993 1.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 2 0.0000 0.997 0.000 1.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.993 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.997 0.000 1.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.997 0.000 1.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.0000 0.993 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 2 0.0000 0.997 0.000 1.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.993 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 2 0.0000 0.997 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.0000 0.960315 0.000 0.000 1.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.960315 0.000 0.000 1.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.0424 0.953183 0.000 0.008 0.992
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.976032 1.000 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.976032 1.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.976032 1.000 0.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.0000 0.960315 0.000 0.000 1.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.978877 0.000 1.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.0000 0.960315 0.000 0.000 1.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.976032 1.000 0.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.976032 1.000 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.976032 1.000 0.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.5968 0.450511 0.364 0.000 0.636
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.978877 0.000 1.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.0000 0.960315 0.000 0.000 1.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.960315 0.000 0.000 1.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0000 0.960315 0.000 0.000 1.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.976032 1.000 0.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 3 0.0000 0.960315 0.000 0.000 1.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0000 0.976032 1.000 0.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.978877 0.000 1.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.976032 1.000 0.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.976032 1.000 0.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.976032 1.000 0.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.960315 0.000 0.000 1.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 3 0.0000 0.960315 0.000 0.000 1.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.0000 0.976032 1.000 0.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.0000 0.960315 0.000 0.000 1.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.978877 0.000 1.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.978877 0.000 1.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.976032 1.000 0.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.976032 1.000 0.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.976032 1.000 0.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 3 0.4555 0.740389 0.200 0.000 0.800
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.978877 0.000 1.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 2 0.6062 0.385929 0.384 0.616 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 3 0.0000 0.960315 0.000 0.000 1.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 3 0.0000 0.960315 0.000 0.000 1.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.976032 1.000 0.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 3 0.0000 0.960315 0.000 0.000 1.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.978877 0.000 1.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.0000 0.976032 1.000 0.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0000 0.960315 0.000 0.000 1.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.976032 1.000 0.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.4452 0.739198 0.808 0.000 0.192
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 3 0.0000 0.960315 0.000 0.000 1.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.976032 1.000 0.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.978877 0.000 1.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0000 0.960315 0.000 0.000 1.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.978877 0.000 1.000 0.000
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#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.0000 0.960315 0.000 0.000 1.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.0000 0.960315 0.000 0.000 1.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 3 0.0000 0.960315 0.000 0.000 1.000
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0000 0.976032 1.000 0.000 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0000 0.976032 1.000 0.000 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.0000 0.976032 1.000 0.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.5968 0.423406 0.636 0.364 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 2 0.3752 0.831010 0.144 0.856 0.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 3 0.6307 0.091361 0.488 0.000 0.512
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.978877 0.000 1.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.0000 0.976032 1.000 0.000 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.0000 0.960315 0.000 0.000 1.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 3 0.0000 0.960315 0.000 0.000 1.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.978877 0.000 1.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.978877 0.000 1.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 3 0.0000 0.960315 0.000 0.000 1.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.978877 0.000 1.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0000 0.978877 0.000 1.000 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0000 0.976032 1.000 0.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 3 0.5926 0.468292 0.356 0.000 0.644
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.978877 0.000 1.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.978877 0.000 1.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.0000 0.960315 0.000 0.000 1.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.976032 1.000 0.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 3 0.0000 0.960315 0.000 0.000 1.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.978877 0.000 1.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 3 0.0000 0.960315 0.000 0.000 1.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.978877 0.000 1.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.976032 1.000 0.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 3 0.0000 0.960315 0.000 0.000 1.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 3 0.0000 0.960315 0.000 0.000 1.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.0000 0.960315 0.000 0.000 1.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.976032 1.000 0.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.978877 0.000 1.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.0000 0.960315 0.000 0.000 1.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 3 0.0000 0.960315 0.000 0.000 1.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.6079 0.345046 0.612 0.000 0.388
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.0000 0.960315 0.000 0.000 1.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0747 0.960431 0.984 0.016 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.976032 1.000 0.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 3 0.0000 0.960315 0.000 0.000 1.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.0000 0.960315 0.000 0.000 1.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0000 0.976032 1.000 0.000 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0000 0.976032 1.000 0.000 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.0000 0.960315 0.000 0.000 1.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 3 0.0000 0.960315 0.000 0.000 1.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.978877 0.000 1.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.976032 1.000 0.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.0000 0.978877 0.000 1.000 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.976032 1.000 0.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.976032 1.000 0.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.976032 1.000 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.978877 0.000 1.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 2 0.0000 0.978877 0.000 1.000 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.0000 0.960315 0.000 0.000 1.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 2 0.0000 0.978877 0.000 1.000 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.0000 0.978877 0.000 1.000 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.0000 0.960315 0.000 0.000 1.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.6111 0.343244 0.000 0.396 0.604
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.976032 1.000 0.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 3 0.6274 0.201437 0.456 0.000 0.544
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.978877 0.000 1.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.976032 1.000 0.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.978877 0.000 1.000 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.976032 1.000 0.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.0000 0.960315 0.000 0.000 1.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.0892 0.942752 0.000 0.020 0.980
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.978877 0.000 1.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 2 0.1753 0.938529 0.048 0.952 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 3 0.0000 0.960315 0.000 0.000 1.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 2 0.0000 0.978877 0.000 1.000 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.960315 0.000 0.000 1.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.0000 0.960315 0.000 0.000 1.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.0000 0.960315 0.000 0.000 1.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.0000 0.960315 0.000 0.000 1.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.976032 1.000 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 3 0.0000 0.960315 0.000 0.000 1.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.978877 0.000 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.978877 0.000 1.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.960315 0.000 0.000 1.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.976032 1.000 0.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 3 0.0000 0.960315 0.000 0.000 1.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.976032 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.4941 0.227 0.564 0.000 0.000 0.436
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 4 0.3172 0.807 0.000 0.000 0.160 0.840
#> 53062969-D209-490B-9C9B-5D297625E2AE 4 0.3444 0.772 0.184 0.000 0.000 0.816
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 4 0.2921 0.831 0.140 0.000 0.000 0.860
#> B055A70B-3003-47CB-BDAA-6378C000BF24 4 0.1118 0.945 0.000 0.000 0.036 0.964
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 4 0.0469 0.966 0.000 0.000 0.012 0.988
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0336 0.943 0.992 0.000 0.000 0.008
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0188 0.989 0.000 0.000 0.996 0.004
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 4 0.4500 0.512 0.316 0.000 0.000 0.684
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 4 0.0188 0.972 0.000 0.000 0.004 0.996
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0188 0.989 0.000 0.000 0.996 0.004
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 4 0.0188 0.972 0.004 0.000 0.000 0.996
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.4985 0.150 0.532 0.468 0.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 2 0.4941 0.186 0.436 0.564 0.000 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 4 0.0188 0.972 0.004 0.000 0.000 0.996
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 3 0.0188 0.989 0.000 0.000 0.996 0.004
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.3172 0.790 0.840 0.000 0.000 0.160
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0469 0.940 0.988 0.000 0.000 0.012
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 4 0.3764 0.724 0.216 0.000 0.000 0.784
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#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.4898 0.310 0.584 0.416 0.000 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.4250 0.629 0.724 0.000 0.000 0.276
#> EFE5A302-D138-4044-A301-5C5FD1C24836 4 0.0188 0.972 0.004 0.000 0.000 0.996
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.3726 0.725 0.788 0.212 0.000 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 2 0.4977 0.151 0.000 0.540 0.460 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 4 0.0188 0.972 0.004 0.000 0.000 0.996
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 2 0.4250 0.602 0.276 0.724 0.000 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 4 0.0000 0.975 0.000 0.000 0.000 1.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.1716 0.928 0.000 0.000 0.936 0.064
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.978 0.000 1.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.948 1.000 0.000 0.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 3 0.0000 0.993 0.000 0.000 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.948 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 5 0.1341 0.9425 0.056 0.000 0.000 0.000 0.944
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 5 0.1502 0.9409 0.056 0.000 0.004 0.000 0.940
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.4161 0.5458 0.608 0.000 0.000 0.392 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.3684 0.7299 0.720 0.000 0.000 0.280 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.2074 0.8429 0.920 0.000 0.036 0.044 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 5 0.1341 0.9425 0.056 0.000 0.000 0.000 0.944
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9928 0.000 1.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.1197 0.8805 0.000 0.000 0.952 0.000 0.048
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.1628 0.8231 0.936 0.000 0.056 0.008 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.2929 0.8282 0.820 0.000 0.000 0.180 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.1628 0.8231 0.936 0.000 0.056 0.008 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0000 0.9010 0.000 0.000 1.000 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0162 0.9918 0.000 0.996 0.000 0.004 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.9010 0.000 0.000 1.000 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0794 0.8894 0.000 0.000 0.972 0.000 0.028
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 4 0.0290 0.9305 0.008 0.000 0.000 0.992 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 4 0.0290 0.9305 0.008 0.000 0.000 0.992 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9928 0.000 1.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.1341 0.8501 0.944 0.000 0.000 0.056 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.2891 0.8308 0.824 0.000 0.000 0.176 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.2813 0.8335 0.832 0.000 0.000 0.168 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.2329 0.8208 0.000 0.000 0.876 0.000 0.124
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.4836 0.5083 0.628 0.000 0.336 0.036 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.0000 0.9010 0.000 0.000 1.000 0.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9928 0.000 1.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0290 0.9906 0.000 0.992 0.000 0.008 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 4 0.0290 0.9305 0.008 0.000 0.000 0.992 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 4 0.0290 0.9305 0.008 0.000 0.000 0.992 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 4 0.1851 0.8548 0.088 0.000 0.000 0.912 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 3 0.1792 0.8772 0.084 0.000 0.916 0.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.9928 0.000 1.000 0.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 4 0.0000 0.9305 0.000 0.000 0.000 1.000 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.1270 0.9442 0.052 0.000 0.000 0.000 0.948
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 5 0.1341 0.9425 0.056 0.000 0.000 0.000 0.944
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.1478 0.8167 0.936 0.000 0.064 0.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 3 0.3201 0.8458 0.052 0.000 0.852 0.000 0.096
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.9928 0.000 1.000 0.000 0.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 4 0.0290 0.9305 0.008 0.000 0.000 0.992 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.1965 0.8637 0.052 0.000 0.924 0.000 0.024
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 4 0.0880 0.9136 0.032 0.000 0.000 0.968 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.0000 0.9010 0.000 0.000 1.000 0.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 3 0.1341 0.8888 0.056 0.000 0.944 0.000 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.3109 0.8145 0.800 0.000 0.000 0.200 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9928 0.000 1.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.0000 0.9010 0.000 0.000 1.000 0.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.9928 0.000 1.000 0.000 0.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.2929 0.8282 0.820 0.000 0.000 0.180 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 5 0.1341 0.9425 0.056 0.000 0.000 0.000 0.944
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0000 0.9010 0.000 0.000 1.000 0.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 4 0.0162 0.9306 0.004 0.000 0.000 0.996 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.1478 0.8167 0.936 0.000 0.064 0.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 4 0.2770 0.8377 0.000 0.044 0.076 0.880 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 4 0.0290 0.9305 0.008 0.000 0.000 0.992 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 5 0.2124 0.9246 0.056 0.028 0.000 0.000 0.916
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.1792 0.8523 0.916 0.000 0.000 0.084 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.4283 0.3922 0.544 0.000 0.000 0.456 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 4 0.1043 0.9032 0.000 0.040 0.000 0.960 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 4 0.4371 0.2958 0.344 0.000 0.012 0.644 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.1478 0.8167 0.936 0.000 0.064 0.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9928 0.000 1.000 0.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.2929 0.8282 0.820 0.000 0.000 0.180 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 3 0.3983 0.5568 0.340 0.000 0.660 0.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0290 0.9906 0.000 0.992 0.000 0.008 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 5 0.3177 0.7231 0.000 0.000 0.208 0.000 0.792
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.0000 0.9010 0.000 0.000 1.000 0.000 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.1648 0.8435 0.940 0.000 0.020 0.040 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.2127 0.8493 0.892 0.000 0.000 0.108 0.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 3 0.3003 0.8064 0.188 0.000 0.812 0.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.4183 0.6589 0.668 0.000 0.008 0.324 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.9928 0.000 1.000 0.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 5 0.1341 0.9425 0.056 0.000 0.000 0.000 0.944
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.4182 0.2595 0.600 0.000 0.400 0.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.1478 0.8167 0.936 0.000 0.064 0.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.1725 0.8311 0.936 0.000 0.044 0.020 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 4 0.0290 0.9305 0.008 0.000 0.000 0.992 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 4 0.0404 0.9288 0.012 0.000 0.000 0.988 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0290 0.9906 0.000 0.992 0.000 0.008 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 5 0.1341 0.9425 0.056 0.000 0.000 0.000 0.944
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 5 0.4235 0.2353 0.000 0.000 0.424 0.000 0.576
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.1502 0.8504 0.940 0.000 0.004 0.056 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 3 0.3395 0.7364 0.236 0.000 0.764 0.000 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.9928 0.000 1.000 0.000 0.000 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.0000 0.9010 0.000 0.000 1.000 0.000 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 4 0.0000 0.9305 0.000 0.000 0.000 1.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 4 0.2732 0.7570 0.160 0.000 0.000 0.840 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 4 0.0703 0.9167 0.000 0.024 0.000 0.976 0.000
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 4 0.0162 0.9291 0.000 0.004 0.000 0.996 0.000
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 4 0.0510 0.9266 0.016 0.000 0.000 0.984 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.0000 0.9010 0.000 0.000 1.000 0.000 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
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#> 0878C381-47F9-4786-82C2-94AC840BEDCB 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.0404 0.9001 0.012 0.000 0.988 0.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 4 0.0290 0.9305 0.008 0.000 0.000 0.992 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.9928 0.000 1.000 0.000 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.0404 0.9001 0.012 0.000 0.988 0.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> D365A238-4739-4B54-9608-DC548F21C04E 3 0.3452 0.7395 0.244 0.000 0.756 0.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.1478 0.8857 0.064 0.000 0.936 0.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 4 0.0290 0.9305 0.008 0.000 0.000 0.992 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.3336 0.7883 0.772 0.000 0.000 0.228 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.0000 0.9010 0.000 0.000 1.000 0.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 4 0.0290 0.9305 0.008 0.000 0.000 0.992 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 4 0.0290 0.9305 0.008 0.000 0.000 0.992 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 3 0.2329 0.8539 0.124 0.000 0.876 0.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.1270 0.9524 0.052 0.948 0.000 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.1544 0.8129 0.932 0.000 0.068 0.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 4 0.1197 0.8951 0.000 0.048 0.000 0.952 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.2179 0.8489 0.888 0.000 0.000 0.112 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.1725 0.8469 0.936 0.000 0.020 0.044 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.1341 0.8216 0.944 0.000 0.056 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.9928 0.000 1.000 0.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 4 0.0880 0.9100 0.000 0.032 0.000 0.968 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 2 0.1522 0.9522 0.012 0.944 0.000 0.044 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 4 0.3143 0.7171 0.000 0.204 0.000 0.796 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.4087 0.7824 0.056 0.100 0.816 0.000 0.028
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.3039 0.8204 0.808 0.000 0.000 0.192 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 3 0.3109 0.7944 0.200 0.000 0.800 0.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0290 0.9906 0.000 0.992 0.000 0.008 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.1478 0.8167 0.936 0.000 0.064 0.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0324 0.9907 0.004 0.992 0.000 0.004 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 4 0.0404 0.9288 0.012 0.000 0.000 0.988 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 5 0.2576 0.9171 0.056 0.008 0.036 0.000 0.900
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0290 0.9906 0.000 0.992 0.000 0.008 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 4 0.0000 0.9305 0.000 0.000 0.000 1.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 4 0.2020 0.8432 0.000 0.100 0.000 0.900 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0000 0.9010 0.000 0.000 1.000 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 5 0.3846 0.8091 0.056 0.000 0.144 0.000 0.800
#> 1ABBEF80-508F-4247-B43D-3E549372113B 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.4182 0.3828 0.000 0.000 0.600 0.000 0.400
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 4 0.3242 0.6595 0.216 0.000 0.000 0.784 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9928 0.000 1.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9928 0.000 1.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 5 0.2516 0.8338 0.000 0.000 0.140 0.000 0.860
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 4 0.0290 0.9305 0.008 0.000 0.000 0.992 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 5 0.0000 0.9628 0.000 0.000 0.000 0.000 1.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 4 0.2020 0.8403 0.100 0.000 0.000 0.900 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.2996 0.8557 0.000 0.000 0.000 0.772 0.000 0.228
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 6 0.0632 0.9290 0.000 0.000 0.000 0.024 0.000 0.976
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 4 0.3122 0.8314 0.000 0.000 0.020 0.804 0.000 0.176
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.4039 0.3352 0.568 0.000 0.000 0.008 0.424 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.3883 0.5460 0.656 0.000 0.000 0.012 0.332 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.2545 0.7846 0.892 0.000 0.028 0.052 0.028 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 4 0.2854 0.8540 0.000 0.000 0.000 0.792 0.000 0.208
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9816 0.000 1.000 0.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.2979 0.7840 0.004 0.000 0.852 0.056 0.000 0.088
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.2679 0.7290 0.864 0.000 0.040 0.096 0.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.2300 0.7783 0.856 0.000 0.000 0.000 0.144 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.2122 0.7537 0.900 0.000 0.024 0.076 0.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.1349 0.8025 0.000 0.000 0.940 0.056 0.000 0.004
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0291 0.9789 0.000 0.992 0.000 0.004 0.004 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 6 0.0632 0.9290 0.000 0.000 0.000 0.024 0.000 0.976
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.1141 0.8047 0.000 0.000 0.948 0.052 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.1285 0.8067 0.000 0.000 0.944 0.004 0.000 0.052
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 5 0.0458 0.8822 0.016 0.000 0.000 0.000 0.984 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 6 0.2609 0.8286 0.000 0.000 0.036 0.096 0.000 0.868
#> C204D355-B876-4341-A111-36D48CBDD2A8 5 0.1196 0.8785 0.040 0.000 0.000 0.008 0.952 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9816 0.000 1.000 0.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0972 0.8039 0.964 0.000 0.000 0.008 0.028 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.2750 0.7908 0.844 0.000 0.000 0.020 0.136 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.2234 0.7900 0.872 0.000 0.000 0.004 0.124 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.3523 0.6662 0.000 0.000 0.780 0.040 0.000 0.180
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 6 0.0777 0.9133 0.000 0.000 0.004 0.024 0.000 0.972
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.4895 0.4844 0.316 0.000 0.616 0.056 0.012 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.0622 0.8159 0.012 0.000 0.980 0.008 0.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9816 0.000 1.000 0.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0291 0.9789 0.000 0.992 0.000 0.004 0.004 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 5 0.0692 0.8818 0.020 0.000 0.000 0.004 0.976 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 5 0.1462 0.8744 0.056 0.000 0.000 0.008 0.936 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 5 0.2743 0.7842 0.164 0.000 0.000 0.008 0.828 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 3 0.3425 0.7968 0.084 0.000 0.836 0.048 0.000 0.032
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.9816 0.000 1.000 0.000 0.000 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 5 0.0436 0.8825 0.004 0.004 0.000 0.004 0.988 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 4 0.3163 0.8171 0.000 0.000 0.004 0.764 0.000 0.232
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 4 0.2996 0.8557 0.000 0.000 0.000 0.772 0.000 0.228
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.2404 0.7394 0.884 0.000 0.036 0.080 0.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 6 0.4124 0.6900 0.000 0.000 0.120 0.132 0.000 0.748
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.9816 0.000 1.000 0.000 0.000 0.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 5 0.1918 0.8598 0.088 0.000 0.000 0.008 0.904 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.3383 0.5916 0.000 0.000 0.728 0.268 0.000 0.004
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 5 0.2558 0.8042 0.156 0.000 0.000 0.004 0.840 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.1010 0.8095 0.004 0.000 0.960 0.036 0.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 3 0.3821 0.7783 0.024 0.000 0.804 0.100 0.000 0.072
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.3259 0.7165 0.772 0.000 0.000 0.012 0.216 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9816 0.000 1.000 0.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.1914 0.8149 0.016 0.000 0.920 0.056 0.000 0.008
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.9816 0.000 1.000 0.000 0.000 0.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.2416 0.7709 0.844 0.000 0.000 0.000 0.156 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 4 0.2996 0.8557 0.000 0.000 0.000 0.772 0.000 0.228
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.1049 0.8115 0.008 0.000 0.960 0.032 0.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 5 0.0291 0.8816 0.004 0.000 0.000 0.004 0.992 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.2039 0.7547 0.904 0.000 0.020 0.076 0.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 5 0.3683 0.7079 0.000 0.004 0.160 0.052 0.784 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 6 0.0632 0.9290 0.000 0.000 0.000 0.024 0.000 0.976
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 5 0.0692 0.8820 0.020 0.000 0.000 0.004 0.976 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 4 0.3190 0.8558 0.000 0.008 0.000 0.772 0.000 0.220
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0790 0.8038 0.968 0.000 0.000 0.000 0.032 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.4229 0.2881 0.548 0.000 0.000 0.016 0.436 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 5 0.1349 0.8460 0.000 0.056 0.000 0.004 0.940 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 5 0.5328 0.2471 0.368 0.000 0.072 0.016 0.544 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.1838 0.7622 0.916 0.000 0.016 0.068 0.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9816 0.000 1.000 0.000 0.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 6 0.0632 0.9290 0.000 0.000 0.000 0.024 0.000 0.976
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.2416 0.7709 0.844 0.000 0.000 0.000 0.156 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 3 0.5086 0.4780 0.364 0.000 0.548 0.088 0.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 6 0.0632 0.9290 0.000 0.000 0.000 0.024 0.000 0.976
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0405 0.9767 0.000 0.988 0.000 0.004 0.008 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 6 0.1124 0.9032 0.000 0.000 0.008 0.036 0.000 0.956
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 6 0.2563 0.8382 0.000 0.000 0.052 0.072 0.000 0.876
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.0692 0.8121 0.004 0.000 0.976 0.020 0.000 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.2039 0.7670 0.908 0.000 0.016 0.072 0.004 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.2003 0.8016 0.912 0.000 0.000 0.044 0.044 0.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 3 0.5792 0.6182 0.240 0.000 0.580 0.156 0.000 0.024
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.4224 0.5617 0.660 0.000 0.016 0.012 0.312 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.9816 0.000 1.000 0.000 0.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 6 0.0632 0.9290 0.000 0.000 0.000 0.024 0.000 0.976
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.2996 0.8557 0.000 0.000 0.000 0.772 0.000 0.228
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.5103 -0.0286 0.532 0.000 0.392 0.072 0.000 0.004
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 6 0.0632 0.9290 0.000 0.000 0.000 0.024 0.000 0.976
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 6 0.0260 0.9233 0.000 0.000 0.000 0.008 0.000 0.992
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.1895 0.7600 0.912 0.000 0.016 0.072 0.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.2006 0.7556 0.904 0.000 0.016 0.080 0.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 5 0.1398 0.8756 0.052 0.000 0.000 0.008 0.940 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 5 0.2389 0.8307 0.128 0.000 0.000 0.008 0.864 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0291 0.9789 0.000 0.992 0.000 0.004 0.004 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 4 0.2996 0.8557 0.000 0.000 0.000 0.772 0.000 0.228
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 6 0.5070 0.3616 0.000 0.000 0.316 0.100 0.000 0.584
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.3370 0.7768 0.828 0.000 0.008 0.092 0.072 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 3 0.4595 0.6633 0.248 0.000 0.668 0.084 0.000 0.000
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#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 6 0.0632 0.9290 0.000 0.000 0.000 0.024 0.000 0.976
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0405 0.9767 0.000 0.988 0.000 0.004 0.008 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.9816 0.000 1.000 0.000 0.000 0.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 6 0.3939 0.7361 0.020 0.000 0.056 0.140 0.000 0.784
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0405 0.9767 0.000 0.988 0.000 0.004 0.008 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0291 0.9789 0.000 0.992 0.000 0.004 0.004 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0937 0.8051 0.960 0.000 0.000 0.000 0.040 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 3 0.5861 0.6469 0.216 0.000 0.600 0.140 0.000 0.044
#> CE539000-92D7-4622-9C8D-BC6E01310681 4 0.3101 0.6498 0.000 0.244 0.000 0.756 0.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.9816 0.000 1.000 0.000 0.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.1204 0.8034 0.000 0.000 0.944 0.056 0.000 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.4072 0.2541 0.544 0.000 0.000 0.008 0.448 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 3 0.1269 0.8166 0.012 0.000 0.956 0.020 0.000 0.012
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.9816 0.000 1.000 0.000 0.000 0.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 3 0.2222 0.8098 0.012 0.000 0.908 0.040 0.000 0.040
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0405 0.9767 0.000 0.988 0.000 0.004 0.008 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 5 0.4136 0.1676 0.428 0.000 0.000 0.012 0.560 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 6 0.0891 0.9107 0.000 0.000 0.008 0.024 0.000 0.968
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 6 0.0632 0.9290 0.000 0.000 0.000 0.024 0.000 0.976
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.2404 0.8119 0.020 0.000 0.896 0.064 0.000 0.020
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 5 0.2165 0.8466 0.108 0.000 0.000 0.008 0.884 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.9816 0.000 1.000 0.000 0.000 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 3 0.1950 0.8162 0.032 0.000 0.924 0.028 0.000 0.016
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 6 0.0146 0.9247 0.000 0.000 0.000 0.004 0.000 0.996
#> D365A238-4739-4B54-9608-DC548F21C04E 3 0.5884 0.5948 0.260 0.000 0.560 0.156 0.000 0.024
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 3 0.4344 0.7657 0.084 0.000 0.764 0.120 0.000 0.032
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 5 0.1701 0.8682 0.072 0.000 0.000 0.008 0.920 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.3534 0.6393 0.716 0.000 0.000 0.008 0.276 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 6 0.0291 0.9235 0.000 0.000 0.004 0.004 0.000 0.992
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.1141 0.8047 0.000 0.000 0.948 0.052 0.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 5 0.2053 0.8498 0.108 0.000 0.000 0.004 0.888 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 5 0.1196 0.8785 0.040 0.000 0.000 0.008 0.952 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 6 0.0632 0.9290 0.000 0.000 0.000 0.024 0.000 0.976
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 3 0.5368 0.6947 0.184 0.000 0.652 0.136 0.000 0.028
#> 20EB9CC6-EABB-438A-9030-E766459996D1 4 0.3515 0.5266 0.000 0.324 0.000 0.676 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.2618 0.7302 0.872 0.000 0.052 0.076 0.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 5 0.0935 0.8619 0.000 0.032 0.000 0.004 0.964 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.2197 0.8062 0.900 0.000 0.000 0.044 0.056 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0935 0.8042 0.964 0.000 0.000 0.004 0.032 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.1082 0.7798 0.956 0.000 0.004 0.040 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.9816 0.000 1.000 0.000 0.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 5 0.0858 0.8651 0.000 0.028 0.000 0.004 0.968 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 6 0.0632 0.9290 0.000 0.000 0.000 0.024 0.000 0.976
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 2 0.4931 0.5258 0.000 0.648 0.000 0.216 0.136 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 5 0.3890 0.2757 0.000 0.400 0.000 0.004 0.596 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 6 0.0632 0.9290 0.000 0.000 0.000 0.024 0.000 0.976
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.3868 0.0743 0.000 0.000 0.508 0.492 0.000 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.3073 0.7275 0.788 0.000 0.000 0.008 0.204 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 3 0.5884 0.5919 0.260 0.000 0.560 0.156 0.000 0.024
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0692 0.9664 0.000 0.976 0.000 0.004 0.020 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.2680 0.7275 0.868 0.000 0.056 0.076 0.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.1333 0.9363 0.000 0.944 0.000 0.048 0.008 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 5 0.2053 0.8510 0.108 0.000 0.000 0.004 0.888 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 6 0.0632 0.9290 0.000 0.000 0.000 0.024 0.000 0.976
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 4 0.3496 0.8214 0.000 0.000 0.052 0.804 0.004 0.140
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0508 0.9737 0.000 0.984 0.000 0.004 0.012 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 5 0.0146 0.8806 0.000 0.000 0.000 0.004 0.996 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 6 0.0632 0.9290 0.000 0.000 0.000 0.024 0.000 0.976
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 5 0.1958 0.7960 0.000 0.100 0.000 0.004 0.896 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.1141 0.8047 0.000 0.000 0.948 0.052 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 4 0.3352 0.7403 0.000 0.000 0.072 0.816 0.000 0.112
#> 1ABBEF80-508F-4247-B43D-3E549372113B 6 0.0632 0.9290 0.000 0.000 0.000 0.024 0.000 0.976
#> 835AAE7F-F873-4D11-8845-232D261A38DF 6 0.2309 0.8446 0.000 0.000 0.084 0.028 0.000 0.888
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 5 0.3804 0.4898 0.336 0.000 0.000 0.008 0.656 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 6 0.0260 0.9233 0.000 0.000 0.000 0.008 0.000 0.992
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9816 0.000 1.000 0.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9816 0.000 1.000 0.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 6 0.3200 0.7174 0.000 0.000 0.196 0.016 0.000 0.788
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 5 0.1398 0.8759 0.052 0.000 0.000 0.008 0.940 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 6 0.0146 0.9248 0.000 0.000 0.000 0.004 0.000 0.996
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 5 0.3271 0.6914 0.232 0.000 0.000 0.008 0.760 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 17469 rows and 309 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 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 0.490 0.888 0.898 0.4421 0.544 0.544
#> 3 3 0.690 0.857 0.920 0.3486 0.824 0.681
#> 4 4 0.641 0.677 0.865 0.1741 0.815 0.570
#> 5 5 0.688 0.707 0.840 0.1039 0.852 0.554
#> 6 6 0.697 0.642 0.804 0.0274 0.972 0.877
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.0000 0.952 0.000 1.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 2 0.0000 0.952 0.000 1.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.7056 0.913 0.808 0.192
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.7056 0.913 0.808 0.192
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.7056 0.913 0.808 0.192
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.7056 0.913 0.808 0.192
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 2 0.7056 0.782 0.192 0.808
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 1 0.0000 0.837 1.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 2 0.2423 0.912 0.040 0.960
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.7056 0.913 0.808 0.192
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.7056 0.913 0.808 0.192
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.7056 0.913 0.808 0.192
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.7056 0.913 0.808 0.192
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 1 0.0000 0.837 1.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 2 0.0000 0.952 0.000 1.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 2 0.0000 0.952 0.000 1.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 2 0.0000 0.952 0.000 1.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.7056 0.913 0.808 0.192
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 2 0.0000 0.952 0.000 1.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.7056 0.913 0.808 0.192
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 1 0.0000 0.837 1.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.7056 0.913 0.808 0.192
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.7056 0.913 0.808 0.192
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.7056 0.913 0.808 0.192
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 2 0.0000 0.952 0.000 1.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 2 0.0000 0.952 0.000 1.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.7056 0.913 0.808 0.192
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 2 0.1414 0.934 0.020 0.980
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 1 0.0000 0.837 1.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 1 0.0000 0.837 1.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.7056 0.913 0.808 0.192
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.7056 0.913 0.808 0.192
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.7056 0.913 0.808 0.192
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 2 0.0000 0.952 0.000 1.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 1 0.0000 0.837 1.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.7056 0.913 0.808 0.192
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 2 0.6247 0.745 0.156 0.844
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.7056 0.782 0.192 0.808
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.7056 0.913 0.808 0.192
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 2 0.0000 0.952 0.000 1.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 1 0.0000 0.837 1.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.7056 0.913 0.808 0.192
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.8813 0.790 0.700 0.300
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#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.7056 0.913 0.808 0.192
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.9775 0.583 0.588 0.412
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 1 0.0000 0.837 1.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.7056 0.913 0.808 0.192
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 2 0.3733 0.872 0.072 0.928
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 2 0.0000 0.952 0.000 1.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 1 0.0000 0.837 1.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 1 0.0000 0.837 1.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 2 0.0000 0.952 0.000 1.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 1 0.0000 0.837 1.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 1 0.0000 0.837 1.000 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.7056 0.913 0.808 0.192
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 2 0.0000 0.952 0.000 1.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 1 0.0672 0.833 0.992 0.008
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 1 0.0000 0.837 1.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.7056 0.913 0.808 0.192
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.7056 0.913 0.808 0.192
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 2 0.0000 0.952 0.000 1.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 1 0.0000 0.837 1.000 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 2 0.0000 0.952 0.000 1.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 1 0.0000 0.837 1.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.7056 0.913 0.808 0.192
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 2 0.0000 0.952 0.000 1.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 2 0.0000 0.952 0.000 1.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 2 0.0000 0.952 0.000 1.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.7056 0.913 0.808 0.192
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 1 0.0000 0.837 1.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 2 0.0000 0.952 0.000 1.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 2 0.0000 0.952 0.000 1.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.7056 0.913 0.808 0.192
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 2 0.0000 0.952 0.000 1.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0376 0.838 0.996 0.004
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.7056 0.913 0.808 0.192
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 2 0.0000 0.952 0.000 1.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.9552 0.660 0.624 0.376
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.7056 0.913 0.808 0.192
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.7056 0.913 0.808 0.192
#> CCDB0290-91DA-4089-84A6-4434BA028D30 2 0.0000 0.952 0.000 1.000
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 2 0.0000 0.952 0.000 1.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 1 0.0000 0.837 1.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.7056 0.913 0.808 0.192
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.0000 0.837 1.000 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.7056 0.913 0.808 0.192
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.7056 0.913 0.808 0.192
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.7056 0.913 0.808 0.192
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 1 0.0000 0.837 1.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.7056 0.913 0.808 0.192
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 2 0.0000 0.952 0.000 1.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.7056 0.913 0.808 0.192
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 1 0.0000 0.837 1.000 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 2 0.0000 0.952 0.000 1.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.7056 0.913 0.808 0.192
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.7056 0.913 0.808 0.192
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 2 0.0000 0.952 0.000 1.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 1 0.0000 0.837 1.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.7056 0.913 0.808 0.192
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 1 0.0000 0.837 1.000 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.7056 0.913 0.808 0.192
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 2 0.0000 0.952 0.000 1.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.7139 0.910 0.804 0.196
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.0000 0.837 1.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.7056 0.913 0.808 0.192
#> 6752EED9-7990-433F-A206-D5398C396471 2 0.0000 0.952 0.000 1.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.7056 0.913 0.808 0.192
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.8763 0.796 0.704 0.296
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.7602 0.887 0.780 0.220
#> 1ABBEF80-508F-4247-B43D-3E549372113B 2 0.0000 0.952 0.000 1.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 2 0.0000 0.952 0.000 1.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.7056 0.913 0.808 0.192
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 2 0.0000 0.952 0.000 1.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 1 0.0000 0.837 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 1 0.0000 0.837 1.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 2 0.0000 0.952 0.000 1.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.7056 0.913 0.808 0.192
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 2 0.0000 0.952 0.000 1.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.7056 0.913 0.808 0.192
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.5397 0.7971 0.280 0.000 0.720
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0000 0.7843 0.000 0.000 1.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.0424 0.9400 0.992 0.000 0.008
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.9473 1.000 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.9473 1.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.9473 1.000 0.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.6226 0.6268 0.028 0.252 0.720
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.3116 0.8767 0.108 0.892 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.5760 0.7360 0.328 0.000 0.672
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.9473 1.000 0.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.9473 1.000 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.9473 1.000 0.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.0000 0.9473 1.000 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.9671 0.000 1.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.0000 0.7843 0.000 0.000 1.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.5397 0.7971 0.280 0.000 0.720
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.5397 0.7971 0.280 0.000 0.720
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.9473 1.000 0.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 3 0.5397 0.7971 0.280 0.000 0.720
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0000 0.9473 1.000 0.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.2356 0.9125 0.072 0.928 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.9473 1.000 0.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.9473 1.000 0.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.9473 1.000 0.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.5397 0.7971 0.280 0.000 0.720
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 3 0.4002 0.8038 0.160 0.000 0.840
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.0000 0.9473 1.000 0.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.5560 0.7750 0.300 0.000 0.700
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9671 0.000 1.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.9671 0.000 1.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.9473 1.000 0.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.9473 1.000 0.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.9473 1.000 0.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 3 0.5397 0.7971 0.280 0.000 0.720
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.4452 0.7729 0.192 0.808 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.0000 0.9473 1.000 0.000 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 3 0.6252 0.5058 0.444 0.000 0.556
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 3 0.5138 0.6157 0.000 0.252 0.748
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0237 0.9437 0.996 0.000 0.004
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 3 0.5397 0.7971 0.280 0.000 0.720
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.9671 0.000 1.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.0000 0.9473 1.000 0.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.3267 0.8088 0.884 0.000 0.116
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.9473 1.000 0.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.0000 0.9473 1.000 0.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 3 0.5397 0.7971 0.280 0.000 0.720
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.9473 1.000 0.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9671 0.000 1.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.5465 0.4504 0.712 0.000 0.288
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.9671 0.000 1.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.9473 1.000 0.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 3 0.0000 0.7843 0.000 0.000 1.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.5529 0.7802 0.296 0.000 0.704
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.0000 0.9473 1.000 0.000 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0000 0.9473 1.000 0.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.0000 0.9473 1.000 0.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0000 0.7843 0.000 0.000 1.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.0000 0.9473 1.000 0.000 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 3 0.6274 0.2129 0.000 0.456 0.544
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.9473 1.000 0.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.9473 1.000 0.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.4931 0.6577 0.768 0.232 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.0000 0.9473 1.000 0.000 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.9473 1.000 0.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9671 0.000 1.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.0000 0.7843 0.000 0.000 1.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.9473 1.000 0.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.0000 0.9473 1.000 0.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.0000 0.7843 0.000 0.000 1.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.9671 0.000 1.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 3 0.5397 0.7971 0.280 0.000 0.720
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 3 0.5397 0.7971 0.280 0.000 0.720
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.5465 0.7894 0.288 0.000 0.712
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0000 0.9473 1.000 0.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.0000 0.9473 1.000 0.000 0.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.2066 0.8835 0.940 0.000 0.060
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0000 0.9473 1.000 0.000 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.9671 0.000 1.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.0000 0.7843 0.000 0.000 1.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 3 0.0000 0.7843 0.000 0.000 1.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 3 0.5706 0.7477 0.320 0.000 0.680
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.0000 0.7843 0.000 0.000 1.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 3 0.0000 0.7843 0.000 0.000 1.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.9473 1.000 0.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.9473 1.000 0.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.0000 0.9473 1.000 0.000 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.0000 0.9473 1.000 0.000 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.9671 0.000 1.000 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 3 0.5138 0.6157 0.000 0.252 0.748
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.5621 0.7648 0.308 0.000 0.692
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0000 0.9473 1.000 0.000 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.0000 0.9473 1.000 0.000 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.9671 0.000 1.000 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.1031 0.9237 0.976 0.000 0.024
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0000 0.9473 1.000 0.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0000 0.9473 1.000 0.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.0000 0.9473 1.000 0.000 0.000
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.0000 0.9473 1.000 0.000 0.000
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.0000 0.9473 1.000 0.000 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 1 0.0000 0.9473 1.000 0.000 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 3 0.0000 0.7843 0.000 0.000 1.000
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.9671 0.000 1.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.9671 0.000 1.000 0.000
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#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.0000 0.7843 0.000 0.000 1.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.0000 0.9473 1.000 0.000 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 1 0.6126 0.3350 0.600 0.400 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.5291 0.8007 0.268 0.000 0.732
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.0000 0.9473 1.000 0.000 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.9473 1.000 0.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 3 0.5397 0.7971 0.280 0.000 0.720
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.9671 0.000 1.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.9473 1.000 0.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 1 0.5178 0.6157 0.744 0.256 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.9473 1.000 0.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.0000 0.7843 0.000 0.000 1.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.0237 0.9437 0.996 0.000 0.004
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.5178 0.6157 0.744 0.256 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.9473 1.000 0.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 3 0.0000 0.7843 0.000 0.000 1.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.0000 0.9473 1.000 0.000 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.2959 0.8309 0.900 0.000 0.100
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.0424 0.9397 0.992 0.000 0.008
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.0592 0.7860 0.012 0.000 0.988
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.5178 0.8035 0.256 0.000 0.744
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.9473 1.000 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 3 0.0000 0.7843 0.000 0.000 1.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9671 0.000 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9671 0.000 1.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.5397 0.7971 0.280 0.000 0.720
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.9473 1.000 0.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 3 0.5397 0.7971 0.280 0.000 0.720
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.9473 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 1 0.4761 0.4067 0.628 0.000 0.372 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 4 0.0000 0.8694 0.000 0.000 0.000 1.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.3569 0.7121 0.804 0.000 0.196 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.7951 1.000 0.000 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.4855 0.3605 0.600 0.000 0.400 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.4916 0.3782 0.576 0.000 0.424 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.4012 0.5637 0.204 0.004 0.788 0.004
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.3323 0.8443 0.064 0.876 0.060 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.1389 0.7523 0.048 0.000 0.952 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.4977 0.2810 0.540 0.000 0.460 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.3610 0.6729 0.800 0.000 0.200 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.2149 0.7684 0.912 0.000 0.088 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.2921 0.7022 0.140 0.000 0.860 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.9326 0.000 1.000 0.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 4 0.1389 0.8689 0.000 0.000 0.048 0.952
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0000 0.7641 0.000 0.000 1.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0000 0.7641 0.000 0.000 1.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.2530 0.7480 0.888 0.000 0.112 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 3 0.1211 0.7367 0.000 0.000 0.960 0.040
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.3649 0.6670 0.796 0.000 0.204 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.2675 0.8742 0.044 0.908 0.048 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.4996 0.1465 0.516 0.000 0.484 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.2081 0.7698 0.916 0.000 0.084 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.4977 0.2349 0.540 0.000 0.460 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0000 0.7641 0.000 0.000 1.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 3 0.4679 0.1312 0.000 0.000 0.648 0.352
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.2973 0.7490 0.856 0.000 0.144 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.0188 0.7648 0.004 0.000 0.996 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9326 0.000 1.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.9326 0.000 1.000 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.7951 1.000 0.000 0.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.7951 1.000 0.000 0.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.7951 1.000 0.000 0.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 3 0.0000 0.7641 0.000 0.000 1.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.4731 0.7380 0.160 0.780 0.060 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.0188 0.7946 0.996 0.000 0.004 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 3 0.1302 0.7618 0.044 0.000 0.956 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 4 0.6193 0.6853 0.000 0.180 0.148 0.672
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 3 0.4981 -0.0706 0.464 0.000 0.536 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 3 0.0000 0.7641 0.000 0.000 1.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.9326 0.000 1.000 0.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.4776 0.4087 0.624 0.000 0.376 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.2704 0.7273 0.124 0.000 0.876 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.2081 0.7698 0.916 0.000 0.084 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.3486 0.6732 0.188 0.000 0.812 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 3 0.0000 0.7641 0.000 0.000 1.000 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.4955 0.2661 0.556 0.000 0.444 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9326 0.000 1.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.1302 0.7620 0.044 0.000 0.956 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.9326 0.000 1.000 0.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.3074 0.7198 0.848 0.000 0.152 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 4 0.2216 0.8626 0.000 0.000 0.092 0.908
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.0000 0.7641 0.000 0.000 1.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.0817 0.7916 0.976 0.000 0.024 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 3 0.4985 -0.0841 0.468 0.000 0.532 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.1792 0.7773 0.932 0.000 0.068 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 4 0.0000 0.8694 0.000 0.000 0.000 1.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.0000 0.7951 1.000 0.000 0.000 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.3907 0.7055 0.000 0.768 0.232 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.2647 0.7435 0.880 0.000 0.120 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.4955 0.2661 0.556 0.000 0.444 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.0000 0.7951 1.000 0.000 0.000 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.3801 0.6499 0.780 0.000 0.220 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.4998 0.1731 0.512 0.000 0.488 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9326 0.000 1.000 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 4 0.0000 0.8694 0.000 0.000 0.000 1.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.3610 0.6729 0.800 0.000 0.200 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.4977 0.2349 0.540 0.000 0.460 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 4 0.4855 0.5686 0.000 0.000 0.400 0.600
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.9326 0.000 1.000 0.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 3 0.1389 0.7293 0.000 0.000 0.952 0.048
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.4948 0.2951 0.560 0.000 0.440 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.0188 0.7636 0.004 0.000 0.996 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.2868 0.7440 0.864 0.000 0.136 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.2081 0.7698 0.916 0.000 0.084 0.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 3 0.2814 0.7100 0.132 0.000 0.868 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.4955 0.2661 0.556 0.000 0.444 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.9326 0.000 1.000 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 4 0.4804 0.5969 0.000 0.000 0.384 0.616
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.2760 0.8495 0.000 0.000 0.128 0.872
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 3 0.4746 0.3047 0.368 0.000 0.632 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 4 0.0000 0.8694 0.000 0.000 0.000 1.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 4 0.3569 0.8065 0.000 0.000 0.196 0.804
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 3 0.4985 -0.0841 0.468 0.000 0.532 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.3024 0.7359 0.852 0.000 0.148 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.0000 0.7951 1.000 0.000 0.000 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.0000 0.7951 1.000 0.000 0.000 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.9326 0.000 1.000 0.000 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 3 0.7790 -0.3058 0.024 0.132 0.468 0.376
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.0592 0.7650 0.016 0.000 0.984 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.5000 0.1040 0.500 0.000 0.500 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 3 0.4304 0.5304 0.284 0.000 0.716 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.9326 0.000 1.000 0.000 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.2921 0.7092 0.140 0.000 0.860 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0000 0.7951 1.000 0.000 0.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.4730 0.4311 0.636 0.000 0.364 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.0000 0.7951 1.000 0.000 0.000 0.000
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.0592 0.7930 0.984 0.000 0.016 0.000
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.3219 0.7106 0.836 0.000 0.164 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.3528 0.6476 0.192 0.000 0.808 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 4 0.2281 0.8616 0.000 0.000 0.096 0.904
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.9326 0.000 1.000 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.9326 0.000 1.000 0.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.0000 0.7951 1.000 0.000 0.000 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 3 0.4985 -0.0388 0.468 0.000 0.532 0.000
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.9326 0.000 1.000 0.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 1 0.0000 0.7951 1.000 0.000 0.000 0.000
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.0000 0.7641 0.000 0.000 1.000 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.4977 0.2202 0.540 0.000 0.460 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 1 0.3610 0.6478 0.800 0.200 0.000 0.000
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.9326 0.000 1.000 0.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.0000 0.7951 1.000 0.000 0.000 0.000
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 4 0.4624 0.6434 0.000 0.000 0.340 0.660
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 4 0.2149 0.8635 0.000 0.000 0.088 0.912
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.0000 0.7951 1.000 0.000 0.000 0.000
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 3 0.0000 0.7641 0.000 0.000 1.000 0.000
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 3 0.3528 0.5599 0.000 0.000 0.808 0.192
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.0000 0.7951 1.000 0.000 0.000 0.000
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.0000 0.7951 1.000 0.000 0.000 0.000
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.2647 0.7422 0.880 0.000 0.120 0.000
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 3 0.4500 0.2544 0.000 0.000 0.684 0.316
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 3 0.4916 -0.1602 0.000 0.000 0.576 0.424
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 3 0.4916 0.0720 0.424 0.000 0.576 0.000
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.4697 0.4602 0.644 0.000 0.356 0.000
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 1 0.1557 0.7815 0.944 0.000 0.056 0.000
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 1 0.2401 0.7680 0.904 0.004 0.092 0.000
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 3 0.4535 0.4581 0.292 0.004 0.704 0.000
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.0000 0.7951 1.000 0.000 0.000 0.000
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 4 0.0000 0.8694 0.000 0.000 0.000 1.000
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 4 0.0000 0.8694 0.000 0.000 0.000 1.000
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 1 0.2081 0.7698 0.916 0.000 0.084 0.000
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.0000 0.7951 1.000 0.000 0.000 0.000
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 4 0.2868 0.8451 0.000 0.000 0.136 0.864
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#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.3764 0.6030 0.216 0.000 0.784 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 4 0.4948 0.5076 0.000 0.000 0.440 0.560
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.3123 0.6047 0.000 0.000 0.844 0.156
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.7951 1.000 0.000 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 4 0.1792 0.8670 0.000 0.000 0.068 0.932
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9326 0.000 1.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.1489 0.9019 0.004 0.952 0.044 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.2814 0.6373 0.000 0.000 0.868 0.132
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.4679 0.4543 0.648 0.000 0.352 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 3 0.0000 0.7641 0.000 0.000 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.7951 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.4404 0.51015 0.252 0.000 0.036 0.712 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 5 0.0162 0.88827 0.000 0.000 0.000 0.004 0.996
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.2583 0.75829 0.864 0.000 0.132 0.004 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0404 0.81607 0.988 0.000 0.012 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 3 0.3612 0.46097 0.268 0.000 0.732 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 3 0.4287 -0.37341 0.460 0.000 0.540 0.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 4 0.0880 0.74336 0.000 0.000 0.032 0.968 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.3579 0.82362 0.084 0.840 0.068 0.008 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.1597 0.70844 0.048 0.000 0.940 0.012 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 3 0.3730 0.61422 0.288 0.000 0.712 0.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.2230 0.80667 0.884 0.000 0.116 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.2020 0.77578 0.900 0.000 0.100 0.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.3635 0.67460 0.004 0.000 0.748 0.248 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.92962 0.000 1.000 0.000 0.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 5 0.4060 0.45801 0.000 0.000 0.000 0.360 0.640
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.3480 0.67265 0.000 0.000 0.752 0.248 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 4 0.0880 0.74859 0.000 0.000 0.032 0.968 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0963 0.81413 0.964 0.000 0.036 0.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 4 0.1121 0.74735 0.000 0.000 0.044 0.956 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.3508 0.74843 0.748 0.000 0.252 0.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.2899 0.86113 0.036 0.880 0.076 0.008 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 3 0.1965 0.69065 0.096 0.000 0.904 0.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.1732 0.78720 0.920 0.000 0.080 0.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 3 0.3895 0.64402 0.320 0.000 0.680 0.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 4 0.0880 0.74859 0.000 0.000 0.032 0.968 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 4 0.0992 0.74739 0.000 0.000 0.024 0.968 0.008
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.2127 0.77298 0.892 0.000 0.108 0.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.3336 0.68386 0.000 0.000 0.772 0.228 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.92962 0.000 1.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.92962 0.000 1.000 0.000 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.2605 0.79438 0.852 0.000 0.148 0.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.3274 0.76776 0.780 0.000 0.220 0.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.81580 1.000 0.000 0.000 0.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 3 0.3895 0.61321 0.000 0.000 0.680 0.320 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.4724 0.71117 0.168 0.744 0.080 0.008 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.3305 0.76589 0.776 0.000 0.224 0.000 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 3 0.3336 0.68386 0.000 0.000 0.772 0.228 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 4 0.4641 0.53234 0.000 0.172 0.004 0.744 0.080
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 3 0.3395 0.64815 0.236 0.000 0.764 0.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 4 0.1121 0.74729 0.000 0.000 0.044 0.956 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0510 0.92868 0.000 0.984 0.000 0.016 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.4297 -0.21115 0.472 0.000 0.528 0.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.3635 0.67306 0.004 0.000 0.748 0.248 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.1732 0.78720 0.920 0.000 0.080 0.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.3359 0.71592 0.052 0.000 0.840 0.108 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 4 0.4273 -0.02634 0.000 0.000 0.448 0.552 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 3 0.2230 0.68461 0.116 0.000 0.884 0.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.92962 0.000 1.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.3336 0.68386 0.000 0.000 0.772 0.228 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0290 0.92833 0.000 0.992 0.000 0.008 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.1121 0.80619 0.956 0.000 0.044 0.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 5 0.4182 0.49775 0.000 0.000 0.004 0.352 0.644
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.3480 0.67265 0.000 0.000 0.752 0.248 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.0963 0.80835 0.964 0.000 0.036 0.000 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 3 0.3480 0.64561 0.248 0.000 0.752 0.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.1270 0.80543 0.948 0.000 0.052 0.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 5 0.0000 0.88981 0.000 0.000 0.000 0.000 1.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.3210 0.77075 0.788 0.000 0.212 0.000 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 4 0.5201 0.17178 0.000 0.424 0.044 0.532 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.1608 0.81022 0.928 0.000 0.072 0.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 3 0.2230 0.68461 0.116 0.000 0.884 0.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.0000 0.81580 1.000 0.000 0.000 0.000 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.3612 0.73214 0.732 0.000 0.268 0.000 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 3 0.3177 0.68679 0.208 0.000 0.792 0.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0290 0.92914 0.000 0.992 0.000 0.008 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 5 0.0000 0.88981 0.000 0.000 0.000 0.000 1.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0794 0.81129 0.972 0.000 0.028 0.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 3 0.1908 0.69810 0.092 0.000 0.908 0.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 4 0.3612 0.51260 0.000 0.000 0.000 0.732 0.268
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.92962 0.000 1.000 0.000 0.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 4 0.1478 0.74373 0.000 0.000 0.064 0.936 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 4 0.4114 0.61729 0.164 0.000 0.060 0.776 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 3 0.4268 0.58972 0.008 0.000 0.648 0.344 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.3684 0.57636 0.720 0.000 0.280 0.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.1908 0.78052 0.908 0.000 0.092 0.000 0.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 3 0.3336 0.68386 0.000 0.000 0.772 0.228 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 3 0.2179 0.68654 0.112 0.000 0.888 0.000 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0290 0.92914 0.000 0.992 0.000 0.008 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 4 0.3837 0.44873 0.000 0.000 0.000 0.692 0.308
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 4 0.4118 0.36618 0.000 0.000 0.004 0.660 0.336
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 3 0.2069 0.69420 0.076 0.000 0.912 0.012 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 5 0.0000 0.88981 0.000 0.000 0.000 0.000 1.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 4 0.3612 0.48503 0.000 0.000 0.000 0.732 0.268
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 3 0.3508 0.64541 0.252 0.000 0.748 0.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.4045 0.37906 0.644 0.000 0.356 0.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.3305 0.76589 0.776 0.000 0.224 0.000 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.3210 0.77075 0.788 0.000 0.212 0.000 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0290 0.92833 0.000 0.992 0.000 0.008 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 4 0.4952 0.56106 0.020 0.116 0.004 0.756 0.104
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 4 0.3242 0.67333 0.012 0.000 0.172 0.816 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 3 0.1608 0.69992 0.072 0.000 0.928 0.000 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 3 0.4678 0.69931 0.064 0.000 0.712 0.224 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0510 0.92868 0.000 0.984 0.000 0.016 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 3 0.3756 0.67619 0.008 0.000 0.744 0.248 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.3305 0.76589 0.776 0.000 0.224 0.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.4192 0.53349 0.596 0.000 0.404 0.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.0000 0.81580 1.000 0.000 0.000 0.000 0.000
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.0404 0.81385 0.988 0.000 0.012 0.000 0.000
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.3730 0.71770 0.712 0.000 0.288 0.000 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 3 0.6135 0.54305 0.192 0.000 0.560 0.248 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 5 0.3983 0.51409 0.000 0.000 0.000 0.340 0.660
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0162 0.92961 0.000 0.996 0.000 0.004 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0290 0.92914 0.000 0.992 0.000 0.008 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.3305 0.76589 0.776 0.000 0.224 0.000 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 3 0.0963 0.70883 0.036 0.000 0.964 0.000 0.000
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0290 0.92914 0.000 0.992 0.000 0.008 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 1 0.0000 0.81580 1.000 0.000 0.000 0.000 0.000
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 4 0.3336 0.55175 0.000 0.000 0.228 0.772 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 3 0.2074 0.68721 0.104 0.000 0.896 0.000 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 1 0.6168 0.63371 0.592 0.204 0.196 0.008 0.000
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.92962 0.000 1.000 0.000 0.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.3305 0.76589 0.776 0.000 0.224 0.000 0.000
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 4 0.3684 0.48829 0.000 0.000 0.000 0.720 0.280
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 5 0.3876 0.55803 0.000 0.000 0.000 0.316 0.684
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.0000 0.81580 1.000 0.000 0.000 0.000 0.000
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 4 0.4182 0.13873 0.000 0.000 0.400 0.600 0.000
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 4 0.0880 0.74859 0.000 0.000 0.032 0.968 0.000
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.3305 0.76589 0.776 0.000 0.224 0.000 0.000
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.3210 0.77265 0.788 0.000 0.212 0.000 0.000
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.3395 0.75928 0.764 0.000 0.236 0.000 0.000
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 4 0.0955 0.74825 0.000 0.000 0.028 0.968 0.004
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 4 0.0579 0.74497 0.000 0.000 0.008 0.984 0.008
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 3 0.3274 0.65353 0.220 0.000 0.780 0.000 0.000
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.3774 0.43479 0.704 0.000 0.296 0.000 0.000
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 1 0.1197 0.80338 0.952 0.000 0.048 0.000 0.000
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 1 0.4067 0.74992 0.692 0.000 0.300 0.008 0.000
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 4 0.5158 0.55724 0.100 0.000 0.224 0.676 0.000
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.0963 0.81661 0.964 0.000 0.036 0.000 0.000
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 5 0.0000 0.88981 0.000 0.000 0.000 0.000 1.000
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 5 0.0510 0.88129 0.000 0.000 0.000 0.016 0.984
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 1 0.2230 0.78945 0.884 0.000 0.116 0.000 0.000
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.3242 0.76936 0.784 0.000 0.216 0.000 0.000
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 4 0.4450 -0.07317 0.000 0.000 0.004 0.508 0.488
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 4 0.0510 0.74086 0.000 0.000 0.000 0.984 0.016
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.3643 0.82142 0.076 0.836 0.080 0.008 0.000
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0000 0.92962 0.000 1.000 0.000 0.000 0.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.1792 0.78597 0.916 0.000 0.084 0.000 0.000
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0000 0.92962 0.000 1.000 0.000 0.000 0.000
#> 9492A322-37CA-4582-AC68-66B5D80778AF 2 0.2909 0.80321 0.140 0.848 0.000 0.012 0.000
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#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.1732 0.78720 0.920 0.000 0.080 0.000 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.81580 1.000 0.000 0.000 0.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 5 0.0000 0.88981 0.000 0.000 0.000 0.000 1.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.4283 0.02979 0.544 0.000 0.456 0.000 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.3480 0.67265 0.000 0.000 0.752 0.248 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.0324 0.71054 0.004 0.000 0.992 0.004 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 4 0.3508 0.50932 0.000 0.000 0.000 0.748 0.252
#> 835AAE7F-F873-4D11-8845-232D261A38DF 4 0.0880 0.74859 0.000 0.000 0.032 0.968 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.81580 1.000 0.000 0.000 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.3661 0.62456 0.000 0.000 0.000 0.276 0.724
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.92962 0.000 1.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.1894 0.88324 0.000 0.920 0.072 0.008 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 4 0.0510 0.74760 0.000 0.000 0.016 0.984 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.4150 0.56567 0.612 0.000 0.388 0.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 4 0.0510 0.74760 0.000 0.000 0.016 0.984 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0404 0.81607 0.988 0.000 0.012 0.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 3 0.5942 0.36560 0.260 0.220 0.512 0.000 0.008 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 6 0.0146 0.86098 0.000 0.000 0.004 0.000 0.000 0.996
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.1714 0.78134 0.908 0.000 0.000 0.000 0.092 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0363 0.81514 0.988 0.000 0.000 0.000 0.012 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 5 0.3244 0.42740 0.268 0.000 0.000 0.000 0.732 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 5 0.3864 -0.39692 0.480 0.000 0.000 0.000 0.520 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.2346 0.69157 0.000 0.124 0.868 0.000 0.008 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.3590 0.49167 0.188 0.776 0.000 0.004 0.032 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.0993 0.73145 0.024 0.000 0.012 0.000 0.964 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 5 0.3309 0.63648 0.280 0.000 0.000 0.000 0.720 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.2092 0.80891 0.876 0.000 0.000 0.000 0.124 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.1204 0.79297 0.944 0.000 0.000 0.000 0.056 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 5 0.3221 0.68924 0.000 0.000 0.264 0.000 0.736 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.3851 0.58007 0.000 0.540 0.000 0.460 0.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 6 0.3747 0.38810 0.000 0.000 0.396 0.000 0.000 0.604
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 5 0.3244 0.68637 0.000 0.000 0.268 0.000 0.732 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.0260 0.72876 0.000 0.000 0.992 0.000 0.008 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0790 0.81534 0.968 0.000 0.000 0.000 0.032 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 3 0.0865 0.72426 0.000 0.000 0.964 0.000 0.036 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.3151 0.76148 0.748 0.000 0.000 0.000 0.252 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.4038 0.65650 0.060 0.780 0.000 0.136 0.024 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 5 0.1204 0.71998 0.056 0.000 0.000 0.000 0.944 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.1141 0.79489 0.948 0.000 0.000 0.000 0.052 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 5 0.3330 0.66756 0.284 0.000 0.000 0.000 0.716 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0260 0.72876 0.000 0.000 0.992 0.000 0.008 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 3 0.0260 0.72876 0.000 0.000 0.992 0.000 0.008 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.1327 0.79203 0.936 0.000 0.000 0.000 0.064 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 5 0.2996 0.71133 0.000 0.000 0.228 0.000 0.772 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.3843 0.58792 0.000 0.548 0.000 0.452 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.3847 0.58498 0.000 0.544 0.000 0.456 0.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.2378 0.79816 0.848 0.000 0.000 0.000 0.152 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.2912 0.77858 0.784 0.000 0.000 0.000 0.216 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.81419 1.000 0.000 0.000 0.000 0.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 5 0.3288 0.68360 0.000 0.000 0.276 0.000 0.724 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.3978 0.37407 0.268 0.700 0.000 0.000 0.032 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.2941 0.77697 0.780 0.000 0.000 0.000 0.220 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.2969 0.71224 0.000 0.000 0.224 0.000 0.776 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 3 0.5088 0.36251 0.000 0.412 0.516 0.000 0.004 0.068
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 5 0.2996 0.67178 0.228 0.000 0.000 0.000 0.772 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 3 0.0790 0.72542 0.000 0.000 0.968 0.000 0.032 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 4 0.2664 0.56955 0.000 0.184 0.000 0.816 0.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 5 0.3857 -0.24927 0.468 0.000 0.000 0.000 0.532 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 5 0.3360 0.68940 0.004 0.000 0.264 0.000 0.732 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.1141 0.79489 0.948 0.000 0.000 0.000 0.052 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 5 0.2983 0.73090 0.032 0.000 0.136 0.000 0.832 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 3 0.3860 -0.13562 0.000 0.000 0.528 0.000 0.472 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 5 0.1387 0.71693 0.068 0.000 0.000 0.000 0.932 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.3847 0.58498 0.000 0.544 0.000 0.456 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 5 0.2969 0.71224 0.000 0.000 0.224 0.000 0.776 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.0146 0.68235 0.000 0.004 0.000 0.996 0.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0865 0.81002 0.964 0.000 0.000 0.000 0.036 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 6 0.5426 0.56240 0.000 0.220 0.180 0.000 0.004 0.596
#> B507E82F-6680-497B-A014-033EDD7A2E03 5 0.3244 0.68821 0.000 0.000 0.268 0.000 0.732 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.0458 0.81109 0.984 0.000 0.000 0.000 0.016 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 5 0.3023 0.66926 0.232 0.000 0.000 0.000 0.768 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.1075 0.80529 0.952 0.000 0.000 0.000 0.048 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 6 0.0000 0.86208 0.000 0.000 0.000 0.000 0.000 1.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.2854 0.78090 0.792 0.000 0.000 0.000 0.208 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.3699 0.09204 0.000 0.660 0.336 0.000 0.004 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.1387 0.81475 0.932 0.000 0.000 0.000 0.068 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 5 0.1387 0.71693 0.068 0.000 0.000 0.000 0.932 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.0000 0.81419 1.000 0.000 0.000 0.000 0.000 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.3244 0.74907 0.732 0.000 0.000 0.000 0.268 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 5 0.2697 0.70856 0.188 0.000 0.000 0.000 0.812 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.2941 0.69926 0.000 0.780 0.000 0.220 0.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 6 0.0000 0.86208 0.000 0.000 0.000 0.000 0.000 1.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0713 0.81159 0.972 0.000 0.000 0.000 0.028 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 5 0.1327 0.72145 0.064 0.000 0.000 0.000 0.936 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.3076 0.51922 0.000 0.000 0.760 0.000 0.000 0.240
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 4 0.3857 -0.48599 0.000 0.468 0.000 0.532 0.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 3 0.1267 0.71803 0.000 0.000 0.940 0.000 0.060 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 3 0.3516 0.59502 0.164 0.000 0.788 0.000 0.048 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 5 0.3684 0.62623 0.004 0.000 0.332 0.000 0.664 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.3330 0.53872 0.716 0.000 0.000 0.000 0.284 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.1141 0.79489 0.948 0.000 0.000 0.000 0.052 0.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 5 0.2969 0.71224 0.000 0.000 0.224 0.000 0.776 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 5 0.1387 0.71693 0.068 0.000 0.000 0.000 0.932 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.2941 0.69926 0.000 0.780 0.000 0.220 0.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.3428 0.42003 0.000 0.000 0.696 0.000 0.000 0.304
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 3 0.6024 0.09274 0.000 0.220 0.452 0.000 0.004 0.324
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 5 0.1367 0.72154 0.044 0.000 0.012 0.000 0.944 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 6 0.0000 0.86208 0.000 0.000 0.000 0.000 0.000 1.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 3 0.3221 0.45248 0.000 0.000 0.736 0.000 0.000 0.264
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 5 0.3023 0.66926 0.232 0.000 0.000 0.000 0.768 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.3620 0.34999 0.648 0.000 0.000 0.000 0.352 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.2941 0.77697 0.780 0.000 0.000 0.000 0.220 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.2854 0.78090 0.792 0.000 0.000 0.000 0.208 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 4 0.0000 0.68332 0.000 0.000 0.000 1.000 0.000 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 3 0.5026 0.38461 0.004 0.412 0.528 0.000 0.004 0.052
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 3 0.2402 0.68554 0.012 0.000 0.868 0.000 0.120 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 5 0.1075 0.72351 0.048 0.000 0.000 0.000 0.952 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 5 0.3821 0.72381 0.040 0.000 0.220 0.000 0.740 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 4 0.2664 0.56930 0.000 0.184 0.000 0.816 0.000 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 5 0.3360 0.69037 0.004 0.000 0.264 0.000 0.732 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.2941 0.77697 0.780 0.000 0.000 0.000 0.220 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.3774 0.55457 0.592 0.000 0.000 0.000 0.408 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.0000 0.81419 1.000 0.000 0.000 0.000 0.000 0.000
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.0146 0.81363 0.996 0.000 0.000 0.000 0.004 0.000
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.3351 0.73569 0.712 0.000 0.000 0.000 0.288 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 5 0.5624 0.52670 0.200 0.000 0.264 0.000 0.536 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 6 0.3672 0.47927 0.000 0.000 0.368 0.000 0.000 0.632
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.3023 0.69707 0.000 0.768 0.000 0.232 0.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.2941 0.69926 0.000 0.780 0.000 0.220 0.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.2941 0.77697 0.780 0.000 0.000 0.000 0.220 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 5 0.0632 0.72940 0.024 0.000 0.000 0.000 0.976 0.000
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.2941 0.69926 0.000 0.780 0.000 0.220 0.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 1 0.0000 0.81419 1.000 0.000 0.000 0.000 0.000 0.000
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 3 0.2883 0.55266 0.000 0.000 0.788 0.000 0.212 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 5 0.1267 0.71843 0.060 0.000 0.000 0.000 0.940 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 4 0.4536 0.48953 0.104 0.016 0.000 0.732 0.148 0.000
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.3847 0.58498 0.000 0.544 0.000 0.456 0.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.2941 0.77697 0.780 0.000 0.000 0.000 0.220 0.000
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.3076 0.52586 0.000 0.000 0.760 0.000 0.000 0.240
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 6 0.3592 0.52310 0.000 0.000 0.344 0.000 0.000 0.656
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.0000 0.81419 1.000 0.000 0.000 0.000 0.000 0.000
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 3 0.3765 0.09690 0.000 0.000 0.596 0.000 0.404 0.000
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 3 0.0260 0.72876 0.000 0.000 0.992 0.000 0.008 0.000
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.2941 0.77697 0.780 0.000 0.000 0.000 0.220 0.000
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.2883 0.78119 0.788 0.000 0.000 0.000 0.212 0.000
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.3023 0.77185 0.768 0.000 0.000 0.000 0.232 0.000
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 3 0.0260 0.72876 0.000 0.000 0.992 0.000 0.008 0.000
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 3 0.0000 0.72823 0.000 0.000 1.000 0.000 0.000 0.000
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 5 0.3052 0.67744 0.216 0.000 0.004 0.000 0.780 0.000
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.3563 0.35038 0.664 0.000 0.000 0.000 0.336 0.000
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 1 0.0790 0.80455 0.968 0.000 0.000 0.000 0.032 0.000
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 1 0.4974 0.62053 0.660 0.232 0.000 0.012 0.096 0.000
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#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0146 0.56130 0.000 0.996 0.000 0.000 0.004 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.2340 0.72936 0.852 0.000 0.000 0.000 0.148 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.3866 -0.11168 0.516 0.000 0.000 0.484 0.000 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.3330 0.53537 0.716 0.000 0.000 0.000 0.284 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 5 0.1387 0.71713 0.068 0.000 0.000 0.000 0.932 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 5 0.2941 0.67561 0.220 0.000 0.000 0.000 0.780 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.2941 0.69926 0.000 0.780 0.000 0.220 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.0000 0.81419 1.000 0.000 0.000 0.000 0.000 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 6 0.0000 0.86208 0.000 0.000 0.000 0.000 0.000 1.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.1141 0.79489 0.948 0.000 0.000 0.000 0.052 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 1 0.5190 0.65467 0.640 0.008 0.000 0.144 0.208 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.0000 0.72823 0.000 0.000 1.000 0.000 0.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.1141 0.79489 0.948 0.000 0.000 0.000 0.052 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.81419 1.000 0.000 0.000 0.000 0.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 5 0.3198 0.69430 0.000 0.000 0.260 0.000 0.740 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 4 0.0000 0.68332 0.000 0.000 0.000 1.000 0.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 5 0.0790 0.73396 0.032 0.000 0.000 0.000 0.968 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 1 0.1285 0.79304 0.944 0.000 0.000 0.004 0.052 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.1075 0.79718 0.952 0.000 0.000 0.000 0.048 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 6 0.0000 0.86208 0.000 0.000 0.000 0.000 0.000 1.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 5 0.3151 0.65746 0.252 0.000 0.000 0.000 0.748 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 1 0.1141 0.79489 0.948 0.000 0.000 0.000 0.052 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.0000 0.81419 1.000 0.000 0.000 0.000 0.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 6 0.0000 0.86208 0.000 0.000 0.000 0.000 0.000 1.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.3823 0.08602 0.564 0.000 0.000 0.000 0.436 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 5 0.3244 0.68821 0.000 0.000 0.268 0.000 0.732 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 5 0.0291 0.73210 0.004 0.000 0.004 0.000 0.992 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.3151 0.47519 0.000 0.000 0.748 0.000 0.000 0.252
#> 835AAE7F-F873-4D11-8845-232D261A38DF 3 0.0260 0.72876 0.000 0.000 0.992 0.000 0.008 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.81419 1.000 0.000 0.000 0.000 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 6 0.3409 0.59541 0.000 0.000 0.300 0.000 0.000 0.700
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.3765 0.62227 0.000 0.596 0.000 0.404 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.2513 0.66872 0.000 0.852 0.000 0.140 0.008 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0000 0.72823 0.000 0.000 1.000 0.000 0.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.3737 0.58538 0.608 0.000 0.000 0.000 0.392 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 3 0.0000 0.72823 0.000 0.000 1.000 0.000 0.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0363 0.81514 0.988 0.000 0.000 0.000 0.012 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", "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 17469 rows and 309 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 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 0.985 0.994 0.3808 0.621 0.621
#> 3 3 0.583 0.737 0.867 0.4920 0.847 0.754
#> 4 4 0.628 0.689 0.838 0.0804 0.859 0.722
#> 5 5 0.694 0.785 0.868 0.1170 0.910 0.783
#> 6 6 0.647 0.638 0.807 0.0741 0.924 0.781
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.242 0.953 0.040 0.960
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.000 0.995 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.000 0.995 1.000 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.000 0.995 1.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.000 0.995 1.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.000 0.995 1.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 2 0.993 0.172 0.452 0.548
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.000 0.992 0.000 1.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.000 0.995 1.000 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.000 0.995 1.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.000 0.995 1.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.000 0.995 1.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.000 0.995 1.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.000 0.992 0.000 1.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.000 0.995 1.000 0.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.000 0.995 1.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.000 0.995 1.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.000 0.995 1.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.000 0.995 1.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.000 0.995 1.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.000 0.992 0.000 1.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.000 0.995 1.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.000 0.995 1.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.000 0.995 1.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.000 0.995 1.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.000 0.995 1.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.000 0.995 1.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.000 0.995 1.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.000 0.992 0.000 1.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.000 0.992 0.000 1.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.000 0.995 1.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.000 0.995 1.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.000 0.995 1.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.000 0.995 1.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.000 0.992 0.000 1.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.000 0.995 1.000 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.000 0.995 1.000 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.000 0.992 0.000 1.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.000 0.995 1.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.000 0.995 1.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.000 0.992 0.000 1.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.000 0.995 1.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.000 0.995 1.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.000 0.995 1.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.000 0.995 1.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.000 0.995 1.000 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.000 0.995 1.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.000 0.992 0.000 1.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.000 0.995 1.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.000 0.992 0.000 1.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.000 0.995 1.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.000 0.992 0.000 1.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.000 0.995 1.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.000 0.995 1.000 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.000 0.995 1.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.000 0.995 1.000 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 1 0.000 0.995 1.000 0.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.000 0.995 1.000 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.000 0.992 0.000 1.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.000 0.995 1.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.000 0.995 1.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.000 0.995 1.000 0.000
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.000 0.995 1.000 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.000 0.995 1.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.000 0.992 0.000 1.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 1 0.000 0.995 1.000 0.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.000 0.995 1.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.000 0.995 1.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 1 0.000 0.995 1.000 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.000 0.992 0.000 1.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.000 0.995 1.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.000 0.995 1.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.000 0.995 1.000 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.000 0.995 1.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.000 0.995 1.000 0.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.000 0.995 1.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.000 0.995 1.000 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.000 0.992 0.000 1.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 1 0.000 0.995 1.000 0.000
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.000 0.992 0.000 1.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.000 0.995 1.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 1 0.000 0.995 1.000 0.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.000 0.995 1.000 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.000 0.995 1.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.000 0.995 1.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.000 0.995 1.000 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.000 0.995 1.000 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.000 0.992 0.000 1.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.000 0.992 0.000 1.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 1 0.000 0.995 1.000 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.000 0.995 1.000 0.000
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#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.000 0.992 0.000 1.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.000 0.995 1.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.000 0.992 0.000 1.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.000 0.995 1.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.000 0.995 1.000 0.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.000 0.995 1.000 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.358 0.923 0.068 0.932
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.000 0.995 1.000 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.000 0.995 1.000 0.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.000 0.995 1.000 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.000 0.995 1.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.000 0.995 1.000 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.000 0.995 1.000 0.000
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.000 0.995 1.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.000 0.995 1.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.000 0.995 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.000 0.992 0.000 1.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.000 0.992 0.000 1.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.000 0.995 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.000 0.995 1.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.000 0.995 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.000 0.995 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.7075 0.1446 0.020 0.496 0.484
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.4002 0.7196 0.160 0.000 0.840
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.5835 0.5732 0.660 0.000 0.340
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.8104 1.000 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.1289 0.8006 0.968 0.000 0.032
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0592 0.8080 0.988 0.000 0.012
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.9247 0.2085 0.156 0.392 0.452
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9208 0.000 1.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.5363 0.6740 0.724 0.000 0.276
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.2356 0.7749 0.928 0.000 0.072
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.8104 1.000 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0592 0.8114 0.988 0.000 0.012
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.5733 0.6179 0.676 0.000 0.324
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.9208 0.000 1.000 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 3 0.1289 0.7648 0.032 0.000 0.968
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.5926 0.5685 0.644 0.000 0.356
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.4504 0.7362 0.804 0.000 0.196
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.3619 0.7721 0.864 0.000 0.136
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.6062 0.3956 0.616 0.000 0.384
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.3116 0.7846 0.892 0.000 0.108
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9208 0.000 1.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0892 0.8055 0.980 0.000 0.020
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.8104 1.000 0.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.8104 1.000 0.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.6079 0.5043 0.612 0.000 0.388
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.6026 0.3902 0.624 0.000 0.376
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.5926 0.5685 0.644 0.000 0.356
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0000 0.8104 1.000 0.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9208 0.000 1.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.9208 0.000 1.000 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.3941 0.7600 0.844 0.000 0.156
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.8104 1.000 0.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.1411 0.8087 0.964 0.000 0.036
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.8104 1.000 0.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0237 0.9193 0.000 0.996 0.004
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.5138 0.6942 0.748 0.000 0.252
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.5733 0.6096 0.676 0.000 0.324
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.4750 0.7730 0.000 0.784 0.216
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.2165 0.7810 0.936 0.000 0.064
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.2448 0.7715 0.924 0.000 0.076
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.9208 0.000 1.000 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.4702 0.7277 0.788 0.000 0.212
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.6204 0.4174 0.576 0.000 0.424
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.3038 0.7868 0.896 0.000 0.104
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.5560 0.6379 0.700 0.000 0.300
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.2261 0.7780 0.932 0.000 0.068
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0237 0.8097 0.996 0.000 0.004
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9208 0.000 1.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.3482 0.7801 0.872 0.000 0.128
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.9208 0.000 1.000 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.8104 1.000 0.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.4974 0.7536 0.000 0.764 0.236
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.5529 0.6401 0.704 0.000 0.296
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.4346 0.7469 0.816 0.000 0.184
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.1860 0.7896 0.948 0.000 0.052
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.5926 0.5685 0.644 0.000 0.356
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 3 0.0000 0.7429 0.000 0.000 1.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.0237 0.8109 0.996 0.000 0.004
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.4235 0.8088 0.000 0.824 0.176
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.1163 0.8024 0.972 0.000 0.028
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.8104 1.000 0.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 1 0.5431 0.6618 0.716 0.000 0.284
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.2711 0.7871 0.912 0.000 0.088
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0892 0.8055 0.980 0.000 0.020
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9208 0.000 1.000 0.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 3 0.0000 0.7429 0.000 0.000 1.000
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.8104 1.000 0.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.0000 0.8104 1.000 0.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 3 0.5058 0.6171 0.244 0.000 0.756
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.9208 0.000 1.000 0.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.5882 0.4857 0.652 0.000 0.348
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.3816 0.7608 0.852 0.000 0.148
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.4002 0.7549 0.840 0.000 0.160
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.3551 0.7748 0.868 0.000 0.132
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.5098 0.6975 0.752 0.000 0.248
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.2165 0.7810 0.936 0.000 0.064
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0237 0.8105 0.996 0.000 0.004
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.9208 0.000 1.000 0.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 3 0.3482 0.7397 0.128 0.000 0.872
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.4346 0.8038 0.000 0.816 0.184
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.1529 0.7969 0.960 0.000 0.040
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 3 0.0000 0.7429 0.000 0.000 1.000
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 3 0.6079 0.4893 0.388 0.000 0.612
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.8104 1.000 0.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.2356 0.7749 0.928 0.000 0.072
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.3192 0.7842 0.888 0.000 0.112
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.0000 0.8104 1.000 0.000 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.9208 0.000 1.000 0.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.4121 0.8149 0.000 0.832 0.168
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 1 0.5291 0.6899 0.732 0.000 0.268
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.1753 0.8062 0.952 0.000 0.048
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.0000 0.8104 1.000 0.000 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.9208 0.000 1.000 0.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.5810 0.5962 0.664 0.000 0.336
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.2878 0.7917 0.904 0.000 0.096
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.1753 0.7920 0.952 0.000 0.048
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.5291 0.6805 0.732 0.000 0.268
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.5178 0.6928 0.744 0.000 0.256
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.4399 0.7457 0.812 0.000 0.188
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 1 0.5926 0.5685 0.644 0.000 0.356
#> 00439565-02CE-4BF5-956D-7078B51C0947 3 0.0892 0.7577 0.020 0.000 0.980
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.9208 0.000 1.000 0.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.9208 0.000 1.000 0.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.0000 0.8104 1.000 0.000 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.4291 0.7484 0.820 0.000 0.180
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.9208 0.000 1.000 0.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 1 0.5465 0.6568 0.712 0.000 0.288
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 1 0.5988 0.5461 0.632 0.000 0.368
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.0000 0.8104 1.000 0.000 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 2 0.0000 0.9208 0.000 1.000 0.000
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.9208 0.000 1.000 0.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.5291 0.6805 0.732 0.000 0.268
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 3 0.2537 0.7611 0.080 0.000 0.920
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 3 0.5216 0.5874 0.260 0.000 0.740
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.0000 0.8104 1.000 0.000 0.000
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.1289 0.8010 0.968 0.000 0.032
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.6308 -0.1005 0.508 0.000 0.492
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.4796 0.7226 0.780 0.000 0.220
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.0237 0.8097 0.996 0.000 0.004
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.1964 0.7868 0.944 0.000 0.056
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.4452 0.7140 0.808 0.000 0.192
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 3 0.6126 0.3337 0.400 0.000 0.600
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 1 0.4291 0.7528 0.820 0.000 0.180
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.0000 0.8104 1.000 0.000 0.000
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 1 0.5810 0.6000 0.664 0.000 0.336
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 2 0.2261 0.8859 0.000 0.932 0.068
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 2 0.4452 0.7920 0.000 0.808 0.192
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.0424 0.8089 0.992 0.000 0.008
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 3 0.0000 0.7429 0.000 0.000 1.000
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 3 0.3038 0.7738 0.104 0.000 0.896
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 1 0.5733 0.6172 0.676 0.000 0.324
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.1411 0.7987 0.964 0.000 0.036
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.4974 0.7536 0.000 0.764 0.236
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 3 0.5905 0.5026 0.352 0.000 0.648
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.0000 0.9208 0.000 1.000 0.000
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0000 0.9208 0.000 1.000 0.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.0000 0.8104 1.000 0.000 0.000
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0000 0.9208 0.000 1.000 0.000
#> 9492A322-37CA-4582-AC68-66B5D80778AF 2 0.0000 0.9208 0.000 1.000 0.000
#> 993399A4-1B9F-4258-B2D0-155AD58A2E82 1 0.0000 0.8104 1.000 0.000 0.000
#> 7B7DC93D-5494-4E69-BE07-2967887182F9 3 0.2625 0.7794 0.084 0.000 0.916
#> 29BCBA51-2580-473D-9CF7-BEDBD0DBAD1B 2 0.0000 0.9208 0.000 1.000 0.000
#> 40855647-E942-4F32-90B7-BEB921929BFB 1 0.5529 0.6523 0.704 0.000 0.296
#> 0DC723D0-7C68-4495-A4B9-2DF2FF19AB14 2 0.0000 0.9208 0.000 1.000 0.000
#> 7540005F-57E0-4E2E-A8A2-BEF2B0F333B1 2 0.0000 0.9208 0.000 1.000 0.000
#> EB1DDB14-4076-4C2C-B911-390C17C21486 3 0.5760 0.5981 0.328 0.000 0.672
#> 9EA70EC4-8BA0-4E3D-B3CB-A68D19E89868 1 0.6286 0.3091 0.536 0.000 0.464
#> B04E2E50-0A6E-4224-A825-1714D12E5669 2 0.6305 0.3829 0.000 0.516 0.484
#> B0BF5E01-536D-40FF-9C24-CBBD611E2FC2 3 0.1643 0.7701 0.044 0.000 0.956
#> 7B6B1788-B297-4442-B6BE-B7CE8754491E 1 0.5650 0.5555 0.688 0.000 0.312
#> A090D00C-34DF-4906-A517-4803C4C9A332 1 0.0424 0.8091 0.992 0.000 0.008
#> 340D44A6-9BEA-412C-9973-D9ABD6692255 1 0.0000 0.8104 1.000 0.000 0.000
#> E8D0D1E7-E5A8-4014-80C1-0245F90F4358 2 0.0000 0.9208 0.000 1.000 0.000
#> 19EA1494-8572-40E1-B9BB-3739F47B607D 1 0.0000 0.8104 1.000 0.000 0.000
#> 1C1B4793-8DAF-4763-BA4D-C4E869A4ED35 1 0.5363 0.6713 0.724 0.000 0.276
#> 45BF59B3-95BD-4196-ABAA-4C4F0DB38572 2 0.6192 0.5067 0.000 0.580 0.420
#> 47B5A2A7-7E13-4558-99D2-067F5075C6A4 1 0.3686 0.7682 0.860 0.000 0.140
#> E94638E8-CB51-4FBB-8BCB-4BFD7A812291 1 0.2066 0.7839 0.940 0.000 0.060
#> A17352A8-0D3C-4545-8136-7DAE2FB0E102 2 0.6305 0.3513 0.000 0.516 0.484
#> B18A6F95-D4ED-416B-B5A1-9A4934865D0D 2 0.0000 0.9208 0.000 1.000 0.000
#> 33E92C5F-0C42-4549-AD5B-0A064182A272 1 0.1163 0.8077 0.972 0.000 0.028
#> E041B375-3E60-4F18-A6EF-D1C249E3B8EE 1 0.5810 0.6003 0.664 0.000 0.336
#> EDF90AF6-6C64-4BD2-AADF-8D7D188650B2 2 0.0000 0.9208 0.000 1.000 0.000
#> 569320D2-316C-4E2D-B7B3-D7D5C4DAD42D 1 0.0000 0.8104 1.000 0.000 0.000
#> AFFB223D-DAE9-4567-9EF2-8E4DF9D8782D 2 0.0000 0.9208 0.000 1.000 0.000
#> 56FC9454-0A6A-4CC3-95C4-BE0E0D0BAFCE 2 0.0000 0.9208 0.000 1.000 0.000
#> 43226365-FAEF-46C5-AF1B-5C6C2BED84FF 1 0.5291 0.6805 0.732 0.000 0.268
#> 1536110A-B42A-4A84-9474-9895321FDCE9 2 0.0237 0.9187 0.000 0.996 0.004
#> 812255DD-536B-4216-90B1-27D5AB339BE2 1 0.5098 0.7003 0.752 0.000 0.248
#> 5D4563D6-68B7-4C9D-A3F4-AA7D45D5112C 2 0.0000 0.9208 0.000 1.000 0.000
#> BAA39781-DB94-473C-98B1-FA6CD3E1C67A 1 0.2796 0.7918 0.908 0.000 0.092
#> C1411CDA-814D-4E21-8929-C0F77858828F 1 0.0000 0.8104 1.000 0.000 0.000
#> EFE2F248-C13E-4E8D-9153-8C903848AC4A 1 0.5216 0.6872 0.740 0.000 0.260
#> D3939C84-D1D6-4060-9F91-AEB222A9BDD5 1 0.0000 0.8104 1.000 0.000 0.000
#> EABD2987-8C1E-49E5-94AF-C0BDE5335A48 1 0.0000 0.8104 1.000 0.000 0.000
#> F4BE2ABE-2CEB-4A6A-B8EC-0355F8C63B9B 1 0.3412 0.7683 0.876 0.000 0.124
#> 627BC251-D217-4955-B718-6B9D6DEA1756 1 0.1964 0.7870 0.944 0.000 0.056
#> 31B54613-A20E-4039-BB8B-9B52104CE418 1 0.0000 0.8104 1.000 0.000 0.000
#> 3F292B7C-A535-4DBD-BC20-CB4F85A1C94B 1 0.6299 0.2648 0.524 0.000 0.476
#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 2 0.3267 0.8559 0.000 0.884 0.116
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.0000 0.9208 0.000 1.000 0.000
#> 4588817E-1068-4A78-86B6-4674A0112DDA 1 0.5254 0.6851 0.736 0.000 0.264
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 2 0.5098 0.7399 0.000 0.752 0.248
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.1163 0.8024 0.972 0.000 0.028
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.3686 0.7702 0.860 0.000 0.140
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.1289 0.9060 0.000 0.968 0.032
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.0000 0.8104 1.000 0.000 0.000
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 1 0.0000 0.8104 1.000 0.000 0.000
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.0000 0.9208 0.000 1.000 0.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.0000 0.9208 0.000 1.000 0.000
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.2066 0.8907 0.000 0.940 0.060
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.4504 0.7108 0.804 0.000 0.196
#> A9022D9E-1D30-49EE-8552-1364A8027F34 3 0.5988 0.5309 0.368 0.000 0.632
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.3752 0.7623 0.856 0.000 0.144
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.5431 0.6313 0.716 0.000 0.284
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.0000 0.8104 1.000 0.000 0.000
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0000 0.9208 0.000 1.000 0.000
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.4887 0.7074 0.772 0.000 0.228
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.0000 0.8104 1.000 0.000 0.000
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.5254 0.6838 0.736 0.000 0.264
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.0000 0.8104 1.000 0.000 0.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 3 0.2313 0.7342 0.024 0.032 0.944
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.1031 0.8085 0.976 0.000 0.024
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.2537 0.7679 0.920 0.000 0.080
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.0000 0.8104 1.000 0.000 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 3 0.6062 0.5018 0.384 0.000 0.616
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0000 0.8104 1.000 0.000 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 1 0.5529 0.6501 0.704 0.000 0.296
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.1529 0.7968 0.960 0.000 0.040
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.6111 0.5492 0.000 0.604 0.396
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.0000 0.9208 0.000 1.000 0.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 3 0.2066 0.7755 0.060 0.000 0.940
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.0000 0.8104 1.000 0.000 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0000 0.8104 1.000 0.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 3 0.2537 0.7793 0.080 0.000 0.920
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0747 0.8112 0.984 0.000 0.016
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.4178 0.8110 0.000 0.828 0.172
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 3 0.0237 0.7462 0.004 0.000 0.996
#> DD51C17C-300F-44A4-955A-C9BC85417842 1 0.6235 0.3829 0.564 0.000 0.436
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0237 0.8097 0.996 0.000 0.004
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.3816 0.7651 0.852 0.000 0.148
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.3192 0.8568 0.000 0.888 0.112
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.0000 0.7429 0.000 0.000 1.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.2959 0.8652 0.000 0.900 0.100
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.9208 0.000 1.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.9208 0.000 1.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.0000 0.8104 1.000 0.000 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 1 0.6252 0.3594 0.556 0.000 0.444
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 3 0.6026 0.5182 0.376 0.000 0.624
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0892 0.8055 0.980 0.000 0.020
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.1964 0.7868 0.944 0.000 0.056
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.5905 0.5754 0.648 0.000 0.352
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.5905 0.5754 0.648 0.000 0.352
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.4452 0.7410 0.808 0.000 0.192
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.2356 0.7749 0.928 0.000 0.072
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.9208 0.000 1.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.5058 0.7013 0.756 0.000 0.244
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.6095 0.4952 0.608 0.000 0.392
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 3 0.2261 0.7773 0.068 0.000 0.932
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.9208 0.000 1.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.1031 0.9098 0.000 0.976 0.024
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.5560 0.6055 0.700 0.000 0.300
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.9208 0.000 1.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.8556 0.2260 0.256 0.596 0.148
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0000 0.8104 1.000 0.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.2356 0.7749 0.928 0.000 0.072
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.2448 0.8816 0.000 0.924 0.076
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.9208 0.000 1.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.5926 0.5685 0.644 0.000 0.356
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.8104 1.000 0.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0000 0.8104 1.000 0.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0892 0.9116 0.000 0.980 0.020
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.1289 0.8013 0.968 0.000 0.032
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.9208 0.000 1.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.8104 1.000 0.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 3 0.6244 0.3526 0.440 0.000 0.560
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 3 0.6126 0.3517 0.400 0.000 0.600
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.0000 0.8104 1.000 0.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.8104 1.000 0.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.2261 0.8861 0.000 0.932 0.068
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.8104 1.000 0.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 3 0.5926 0.5313 0.356 0.000 0.644
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0237 0.8097 0.996 0.000 0.004
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.1529 0.7970 0.960 0.000 0.040
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.5098 0.6975 0.752 0.000 0.248
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.8104 1.000 0.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 3 0.6305 0.0102 0.484 0.000 0.516
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.5926 0.5685 0.644 0.000 0.356
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.5098 0.6975 0.752 0.000 0.248
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0424 0.8112 0.992 0.000 0.008
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.2625 0.7794 0.084 0.000 0.916
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.2165 0.7810 0.936 0.000 0.064
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0424 0.9176 0.000 0.992 0.008
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.2356 0.7979 0.928 0.000 0.072
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.6420 0.6342 0.688 0.024 0.288
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.1860 0.7894 0.948 0.000 0.052
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.8104 1.000 0.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.8104 1.000 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.9208 0.000 1.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.5216 0.6874 0.740 0.000 0.260
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.1289 0.7125 0.000 0.032 0.968
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.5988 0.5212 0.632 0.000 0.368
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 1 0.7250 0.5894 0.656 0.056 0.288
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.6291 0.3110 0.532 0.000 0.468
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 1 0.6204 0.4174 0.576 0.000 0.424
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.1411 0.7987 0.964 0.000 0.036
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.2356 0.7749 0.928 0.000 0.072
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.9208 0.000 1.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0747 0.8069 0.984 0.000 0.016
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.2959 0.8652 0.000 0.900 0.100
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.5098 0.6975 0.752 0.000 0.248
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.0000 0.7429 0.000 0.000 1.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 1 0.6215 0.4109 0.572 0.000 0.428
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.9851 -0.2558 0.296 0.420 0.284
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.5291 0.6805 0.732 0.000 0.268
#> 6752EED9-7990-433F-A206-D5398C396471 3 0.2625 0.7794 0.084 0.000 0.916
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.5291 0.6805 0.732 0.000 0.268
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.6180 0.4357 0.584 0.000 0.416
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.5291 0.6805 0.732 0.000 0.268
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.3482 0.7689 0.128 0.000 0.872
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.3551 0.7648 0.868 0.000 0.132
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.2165 0.7810 0.936 0.000 0.064
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 3 0.4931 0.6891 0.232 0.000 0.768
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9208 0.000 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9208 0.000 1.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.6308 0.1934 0.508 0.000 0.492
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.8104 1.000 0.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.5968 0.4634 0.636 0.000 0.364
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.8104 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.6795 -0.07554 0.000 0.472 0.096 0.432
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.2944 -0.14146 0.004 0.000 0.868 0.128
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.4852 0.68818 0.776 0.000 0.152 0.072
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.1256 0.82786 0.964 0.000 0.008 0.028
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0927 0.83005 0.976 0.000 0.008 0.016
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0779 0.83211 0.980 0.000 0.004 0.016
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.5840 -0.02729 0.044 0.144 0.748 0.064
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.92099 0.000 1.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.4964 0.51108 0.716 0.000 0.256 0.028
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0188 0.83108 0.996 0.000 0.000 0.004
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.83049 1.000 0.000 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0817 0.82782 0.976 0.000 0.024 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.5137 -0.33411 0.544 0.000 0.452 0.004
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.92099 0.000 1.000 0.000 0.000
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#> 31B54613-A20E-4039-BB8B-9B52104CE418 1 0.0000 0.83049 1.000 0.000 0.000 0.000
#> 3F292B7C-A535-4DBD-BC20-CB4F85A1C94B 1 0.6065 0.41418 0.644 0.000 0.276 0.080
#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 2 0.6113 0.46039 0.000 0.636 0.080 0.284
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.0000 0.92099 0.000 1.000 0.000 0.000
#> 4588817E-1068-4A78-86B6-4674A0112DDA 1 0.5783 0.55337 0.692 0.000 0.220 0.088
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 4 0.6646 0.09559 0.000 0.428 0.084 0.488
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.0000 0.83049 1.000 0.000 0.000 0.000
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.4297 0.74780 0.820 0.000 0.084 0.096
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.1474 0.88926 0.000 0.948 0.052 0.000
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.0000 0.83049 1.000 0.000 0.000 0.000
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 1 0.1022 0.82072 0.968 0.000 0.032 0.000
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.0000 0.92099 0.000 1.000 0.000 0.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.0000 0.92099 0.000 1.000 0.000 0.000
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.1867 0.86727 0.000 0.928 0.072 0.000
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.5811 0.56405 0.704 0.000 0.180 0.116
#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.7788 -0.25064 0.380 0.000 0.376 0.244
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.3959 0.76166 0.840 0.000 0.092 0.068
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.6224 0.52609 0.668 0.000 0.188 0.144
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.0000 0.83049 1.000 0.000 0.000 0.000
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0000 0.92099 0.000 1.000 0.000 0.000
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.4877 -0.22537 0.592 0.000 0.408 0.000
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.0804 0.83070 0.980 0.000 0.008 0.012
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.4773 0.71662 0.788 0.000 0.120 0.092
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.0927 0.83005 0.976 0.000 0.008 0.016
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 4 0.5201 0.70153 0.004 0.004 0.400 0.592
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.2011 0.77466 0.920 0.000 0.080 0.000
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0188 0.83094 0.996 0.000 0.004 0.000
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.0000 0.83049 1.000 0.000 0.000 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.7849 -0.25206 0.380 0.000 0.352 0.268
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0000 0.83049 1.000 0.000 0.000 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 1 0.5451 0.64417 0.740 0.004 0.172 0.084
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.0592 0.83023 0.984 0.000 0.016 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 4 0.6089 0.45462 0.000 0.280 0.080 0.640
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.0592 0.91184 0.000 0.984 0.016 0.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 4 0.4356 0.76712 0.000 0.000 0.292 0.708
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.0336 0.82901 0.992 0.000 0.008 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0000 0.83049 1.000 0.000 0.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 4 0.4356 0.76712 0.000 0.000 0.292 0.708
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0927 0.83005 0.976 0.000 0.008 0.016
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.6391 0.35837 0.000 0.604 0.304 0.092
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 4 0.4916 0.70715 0.000 0.000 0.424 0.576
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.5453 0.64702 0.304 0.000 0.660 0.036
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.1151 0.82892 0.968 0.000 0.008 0.024
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.4362 0.74518 0.816 0.000 0.088 0.096
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.3754 0.79099 0.000 0.852 0.084 0.064
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 4 0.4730 0.73760 0.000 0.000 0.364 0.636
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.3485 0.80140 0.000 0.856 0.116 0.028
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.92099 0.000 1.000 0.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.92099 0.000 1.000 0.000 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.0188 0.83008 0.996 0.000 0.004 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.4426 0.49509 0.204 0.000 0.772 0.024
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 3 0.7762 0.05977 0.380 0.000 0.384 0.236
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.2198 0.80712 0.920 0.000 0.008 0.072
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.2342 0.80294 0.912 0.000 0.008 0.080
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.4916 0.61736 0.424 0.000 0.576 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.4907 0.62087 0.420 0.000 0.580 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.4549 0.73179 0.804 0.000 0.100 0.096
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0592 0.83138 0.984 0.000 0.000 0.016
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.92099 0.000 1.000 0.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.1890 0.80919 0.936 0.000 0.056 0.008
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.4624 0.67178 0.340 0.000 0.660 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 4 0.4356 0.76712 0.000 0.000 0.292 0.708
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.92099 0.000 1.000 0.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.2593 0.84042 0.000 0.892 0.004 0.104
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.6402 0.40468 0.624 0.000 0.108 0.268
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.92099 0.000 1.000 0.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.5352 0.59232 0.140 0.760 0.092 0.008
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.1389 0.80621 0.952 0.000 0.048 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0000 0.83049 1.000 0.000 0.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.2342 0.85097 0.000 0.912 0.080 0.008
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.92099 0.000 1.000 0.000 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.4877 0.63204 0.408 0.000 0.592 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0469 0.83047 0.988 0.000 0.012 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.1302 0.81044 0.956 0.000 0.044 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.1305 0.89838 0.000 0.960 0.004 0.036
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0469 0.82983 0.988 0.000 0.012 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.92099 0.000 1.000 0.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0927 0.83005 0.976 0.000 0.008 0.016
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.7450 0.02276 0.508 0.000 0.264 0.228
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 3 0.7344 0.14006 0.380 0.000 0.460 0.160
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.1211 0.81252 0.960 0.000 0.040 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0927 0.83005 0.976 0.000 0.008 0.016
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.2081 0.85691 0.000 0.916 0.084 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0188 0.82995 0.996 0.000 0.004 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 3 0.7543 0.12220 0.392 0.000 0.420 0.188
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0336 0.83123 0.992 0.000 0.008 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0469 0.83158 0.988 0.000 0.000 0.012
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.2473 0.80301 0.908 0.000 0.080 0.012
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0927 0.83005 0.976 0.000 0.008 0.016
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.6621 0.02661 0.508 0.000 0.408 0.084
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.4941 0.59974 0.436 0.000 0.564 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.2179 0.80576 0.924 0.000 0.064 0.012
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0937 0.83156 0.976 0.000 0.012 0.012
#> CCDB0290-91DA-4089-84A6-4434BA028D30 4 0.4356 0.76524 0.000 0.000 0.292 0.708
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.83049 1.000 0.000 0.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.1970 0.87567 0.000 0.932 0.060 0.008
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.1022 0.82573 0.968 0.000 0.032 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.6072 0.63478 0.740 0.080 0.128 0.052
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.2412 0.80177 0.908 0.000 0.008 0.084
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.83049 1.000 0.000 0.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.83049 1.000 0.000 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.92099 0.000 1.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.3876 0.76108 0.836 0.000 0.124 0.040
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 4 0.2546 0.68781 0.000 0.008 0.092 0.900
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.5337 0.52957 0.696 0.000 0.260 0.044
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 1 0.6197 0.64248 0.732 0.052 0.128 0.088
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.5929 0.40227 0.640 0.000 0.296 0.064
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.4500 0.66418 0.316 0.000 0.684 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0672 0.83117 0.984 0.000 0.008 0.008
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0469 0.83158 0.988 0.000 0.000 0.012
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.92099 0.000 1.000 0.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.83049 1.000 0.000 0.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.3324 0.80250 0.000 0.852 0.136 0.012
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.1902 0.80808 0.932 0.000 0.064 0.004
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 4 0.4356 0.76712 0.000 0.000 0.292 0.708
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.5639 0.65344 0.324 0.000 0.636 0.040
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.4147 0.75944 0.068 0.844 0.076 0.012
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.4487 0.73684 0.808 0.000 0.100 0.092
#> 6752EED9-7990-433F-A206-D5398C396471 4 0.4356 0.76712 0.000 0.000 0.292 0.708
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.4700 0.71918 0.792 0.000 0.124 0.084
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.4643 0.67015 0.344 0.000 0.656 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.4700 0.71918 0.792 0.000 0.124 0.084
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.7854 -0.10948 0.304 0.000 0.400 0.296
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.3984 0.70387 0.828 0.000 0.132 0.040
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0336 0.83124 0.992 0.000 0.008 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.7905 -0.27002 0.368 0.000 0.312 0.320
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.92099 0.000 1.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.92099 0.000 1.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.5169 0.61362 0.272 0.000 0.696 0.032
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0927 0.83005 0.976 0.000 0.008 0.016
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.6301 0.40553 0.636 0.000 0.260 0.104
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.1256 0.82786 0.964 0.000 0.008 0.028
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.5296 0.79866 0.000 0.180 0.000 0.676 0.144
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 5 0.4675 0.47996 0.004 0.000 0.248 0.044 0.704
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.5163 0.77325 0.732 0.000 0.024 0.128 0.116
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.2546 0.85688 0.904 0.000 0.012 0.036 0.048
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.86789 1.000 0.000 0.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0968 0.87030 0.972 0.000 0.012 0.012 0.004
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.4404 0.54155 0.000 0.112 0.792 0.024 0.072
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.96201 0.000 1.000 0.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.6225 0.65975 0.648 0.000 0.184 0.060 0.108
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.1153 0.86945 0.964 0.000 0.004 0.008 0.024
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0162 0.86755 0.996 0.000 0.004 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.1200 0.86920 0.964 0.000 0.016 0.012 0.008
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.6085 0.33280 0.372 0.000 0.528 0.016 0.084
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0290 0.96161 0.000 0.992 0.000 0.008 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 5 0.1638 0.71490 0.004 0.000 0.000 0.064 0.932
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.1043 0.73937 0.040 0.000 0.960 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.5401 0.17165 0.536 0.000 0.404 0.000 0.060
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.4657 0.79616 0.768 0.000 0.016 0.104 0.112
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 5 0.5901 0.23751 0.356 0.000 0.016 0.072 0.556
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0609 0.86918 0.980 0.000 0.020 0.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.96201 0.000 1.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.86789 1.000 0.000 0.000 0.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.3224 0.84373 0.864 0.000 0.012 0.044 0.080
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.86789 1.000 0.000 0.000 0.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.2228 0.74149 0.044 0.000 0.920 0.016 0.020
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 5 0.4150 0.58016 0.140 0.000 0.004 0.068 0.788
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#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.0290 0.96161 0.000 0.992 0.000 0.008 0.000
#> 4588817E-1068-4A78-86B6-4674A0112DDA 1 0.6522 0.66490 0.636 0.000 0.152 0.112 0.100
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 4 0.3810 0.88935 0.000 0.088 0.000 0.812 0.100
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.0162 0.86755 0.996 0.000 0.004 0.000 0.000
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.4600 0.80112 0.776 0.000 0.020 0.096 0.108
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.1341 0.91173 0.000 0.944 0.056 0.000 0.000
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.0162 0.86755 0.996 0.000 0.004 0.000 0.000
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 1 0.3234 0.76459 0.836 0.000 0.144 0.012 0.008
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.0000 0.96201 0.000 1.000 0.000 0.000 0.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.0290 0.96161 0.000 0.992 0.000 0.008 0.000
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.1518 0.91938 0.000 0.944 0.048 0.004 0.004
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.4878 0.76041 0.724 0.000 0.008 0.076 0.192
#> A9022D9E-1D30-49EE-8552-1364A8027F34 5 0.0794 0.72582 0.028 0.000 0.000 0.000 0.972
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.4285 0.81319 0.792 0.000 0.012 0.080 0.116
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.5426 0.71202 0.680 0.000 0.016 0.088 0.216
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.0693 0.86498 0.980 0.000 0.012 0.008 0.000
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0000 0.96201 0.000 1.000 0.000 0.000 0.000
#> 344B9631-AAA5-4302-8747-D584345D9131 3 0.4305 0.18966 0.488 0.000 0.512 0.000 0.000
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.0162 0.86847 0.996 0.000 0.004 0.000 0.000
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.5152 0.77663 0.736 0.000 0.028 0.128 0.108
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.0290 0.86943 0.992 0.000 0.000 0.008 0.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 5 0.4668 0.50721 0.000 0.008 0.048 0.220 0.724
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.2513 0.80305 0.876 0.000 0.116 0.008 0.000
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.1538 0.86160 0.948 0.000 0.036 0.008 0.008
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.0290 0.86706 0.992 0.000 0.008 0.000 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 5 0.1243 0.72798 0.028 0.000 0.004 0.008 0.960
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0162 0.86755 0.996 0.000 0.004 0.000 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 1 0.6623 0.66318 0.628 0.000 0.140 0.128 0.104
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.2879 0.85362 0.880 0.000 0.008 0.032 0.080
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 4 0.3631 0.88254 0.000 0.072 0.000 0.824 0.104
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.0000 0.96201 0.000 1.000 0.000 0.000 0.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 5 0.2230 0.67788 0.000 0.000 0.000 0.116 0.884
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.1568 0.85681 0.944 0.000 0.036 0.020 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0162 0.86755 0.996 0.000 0.004 0.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 5 0.2127 0.68272 0.000 0.000 0.000 0.108 0.892
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0162 0.86856 0.996 0.000 0.004 0.000 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 4 0.5355 0.85699 0.000 0.124 0.016 0.704 0.156
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 5 0.2677 0.67746 0.000 0.000 0.016 0.112 0.872
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.3118 0.67036 0.008 0.004 0.860 0.016 0.112
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.1518 0.86565 0.952 0.000 0.012 0.020 0.016
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.4657 0.79616 0.768 0.000 0.016 0.104 0.112
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.5602 0.25820 0.000 0.620 0.008 0.288 0.084
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 5 0.2179 0.68081 0.000 0.000 0.000 0.112 0.888
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.2177 0.85985 0.000 0.908 0.008 0.004 0.080
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0510 0.95991 0.000 0.984 0.000 0.016 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0510 0.95991 0.000 0.984 0.000 0.016 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.1356 0.86632 0.956 0.000 0.012 0.028 0.004
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.1412 0.70240 0.004 0.000 0.952 0.008 0.036
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 5 0.1195 0.72809 0.028 0.000 0.000 0.012 0.960
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.3883 0.82354 0.820 0.000 0.012 0.060 0.108
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.4048 0.82207 0.812 0.000 0.016 0.064 0.108
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.1341 0.74289 0.056 0.000 0.944 0.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.2648 0.69676 0.152 0.000 0.848 0.000 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.5111 0.77901 0.740 0.000 0.028 0.120 0.112
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.3628 0.83701 0.836 0.000 0.012 0.048 0.104
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.96201 0.000 1.000 0.000 0.000 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.4473 0.78516 0.772 0.000 0.160 0.024 0.044
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.0609 0.73026 0.020 0.000 0.980 0.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 5 0.2127 0.68272 0.000 0.000 0.000 0.108 0.892
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.96201 0.000 1.000 0.000 0.000 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.2248 0.87850 0.000 0.900 0.000 0.088 0.012
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.5682 0.59863 0.616 0.000 0.016 0.072 0.296
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.96201 0.000 1.000 0.000 0.000 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.2426 0.87023 0.008 0.908 0.064 0.016 0.004
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.1121 0.86310 0.956 0.000 0.044 0.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0968 0.86991 0.972 0.000 0.004 0.012 0.012
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0833 0.94649 0.000 0.976 0.004 0.004 0.016
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0290 0.96161 0.000 0.992 0.000 0.008 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.0963 0.73830 0.036 0.000 0.964 0.000 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0290 0.86738 0.992 0.000 0.008 0.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.2929 0.76215 0.840 0.000 0.152 0.008 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0609 0.95704 0.000 0.980 0.000 0.020 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.1399 0.86037 0.952 0.000 0.028 0.020 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.96201 0.000 1.000 0.000 0.000 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0162 0.86847 0.996 0.000 0.004 0.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 5 0.1800 0.70701 0.048 0.000 0.000 0.020 0.932
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 5 0.1753 0.71104 0.032 0.000 0.000 0.032 0.936
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.1493 0.85833 0.948 0.000 0.028 0.024 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0404 0.86842 0.988 0.000 0.012 0.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.1862 0.90788 0.000 0.932 0.048 0.004 0.016
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.1399 0.86037 0.952 0.000 0.028 0.020 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 5 0.1300 0.72116 0.028 0.000 0.000 0.016 0.956
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.1059 0.86972 0.968 0.000 0.008 0.020 0.004
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.1739 0.86723 0.940 0.000 0.004 0.024 0.032
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.4943 0.78691 0.768 0.000 0.088 0.072 0.072
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.86789 1.000 0.000 0.000 0.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 5 0.4330 0.56665 0.164 0.000 0.044 0.016 0.776
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.0703 0.73322 0.024 0.000 0.976 0.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.4528 0.75066 0.756 0.000 0.172 0.064 0.008
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0000 0.86789 1.000 0.000 0.000 0.000 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 5 0.1732 0.70002 0.000 0.000 0.000 0.080 0.920
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.1074 0.86547 0.968 0.000 0.016 0.012 0.004
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0880 0.94984 0.000 0.968 0.000 0.032 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.3663 0.76130 0.776 0.000 0.208 0.016 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 1 0.8758 0.12488 0.388 0.320 0.080 0.112 0.100
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.4048 0.82207 0.812 0.000 0.016 0.064 0.108
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0162 0.86755 0.996 0.000 0.004 0.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0703 0.86705 0.976 0.000 0.024 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0510 0.95991 0.000 0.984 0.000 0.016 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.5744 0.75063 0.708 0.000 0.100 0.092 0.100
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 4 0.3141 0.81434 0.000 0.016 0.000 0.832 0.152
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 1 0.6354 0.70900 0.660 0.004 0.076 0.128 0.132
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 1 0.7766 0.59760 0.584 0.100 0.080 0.128 0.108
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 5 0.5483 0.30435 0.332 0.000 0.048 0.016 0.604
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.1278 0.73326 0.020 0.000 0.960 0.016 0.004
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.86789 1.000 0.000 0.000 0.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.3141 0.84556 0.860 0.000 0.004 0.040 0.096
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.96201 0.000 1.000 0.000 0.000 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0579 0.86585 0.984 0.000 0.008 0.008 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.2678 0.84442 0.000 0.880 0.100 0.004 0.016
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.3629 0.84064 0.848 0.000 0.056 0.028 0.068
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 5 0.2179 0.68081 0.000 0.000 0.000 0.112 0.888
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.4361 0.64739 0.160 0.000 0.776 0.048 0.016
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.3381 0.81053 0.016 0.864 0.064 0.052 0.004
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.5199 0.77354 0.732 0.000 0.028 0.128 0.112
#> 6752EED9-7990-433F-A206-D5398C396471 5 0.2020 0.68837 0.000 0.000 0.000 0.100 0.900
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.5325 0.76746 0.724 0.000 0.032 0.128 0.116
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0609 0.73026 0.020 0.000 0.980 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.5116 0.77644 0.736 0.000 0.024 0.128 0.112
#> 1ABBEF80-508F-4247-B43D-3E549372113B 5 0.0404 0.71971 0.000 0.000 0.000 0.012 0.988
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.5203 0.72468 0.708 0.000 0.140 0.008 0.144
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0162 0.86755 0.996 0.000 0.004 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 5 0.1211 0.72727 0.024 0.000 0.000 0.016 0.960
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0510 0.95991 0.000 0.984 0.000 0.016 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0510 0.95991 0.000 0.984 0.000 0.016 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.1405 0.73270 0.020 0.000 0.956 0.016 0.008
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0404 0.86842 0.988 0.000 0.012 0.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.6207 0.19930 0.464 0.000 0.016 0.088 0.432
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.2149 0.86157 0.924 0.000 0.012 0.028 0.036
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.3725 0.76379 0.000 0.128 0.000 0.804 0.040 0.028
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 6 0.4347 0.47770 0.000 0.000 0.288 0.004 0.040 0.668
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 5 0.4195 0.60862 0.440 0.000 0.004 0.000 0.548 0.008
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.3317 0.66077 0.808 0.000 0.156 0.000 0.032 0.004
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.2669 0.68219 0.836 0.000 0.156 0.000 0.008 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0547 0.71516 0.980 0.000 0.000 0.000 0.020 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.3364 0.53281 0.024 0.000 0.820 0.140 0.012 0.004
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0891 0.88976 0.000 0.968 0.000 0.008 0.024 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.4393 0.36760 0.704 0.000 0.224 0.000 0.068 0.004
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.1714 0.67116 0.908 0.000 0.000 0.000 0.092 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.3025 0.67753 0.820 0.000 0.156 0.000 0.024 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0291 0.71751 0.992 0.000 0.000 0.004 0.004 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.4076 0.52922 0.428 0.000 0.564 0.000 0.004 0.004
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.2794 0.88293 0.000 0.860 0.000 0.060 0.080 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 6 0.1116 0.70160 0.000 0.000 0.008 0.004 0.028 0.960
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.2597 0.76324 0.176 0.000 0.824 0.000 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.4174 0.13843 0.628 0.000 0.352 0.000 0.016 0.004
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.5659 0.01834 0.552 0.000 0.156 0.000 0.284 0.008
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 6 0.6277 0.00868 0.364 0.000 0.008 0.000 0.260 0.368
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.2980 0.67429 0.808 0.000 0.180 0.000 0.012 0.000
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#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 6 0.6235 0.09354 0.352 0.000 0.008 0.000 0.244 0.396
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.4520 0.55256 0.716 0.000 0.156 0.000 0.124 0.004
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 17469 rows and 309 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 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 0.946 0.943 0.976 0.4424 0.565 0.565
#> 3 3 0.668 0.785 0.899 0.1376 0.889 0.806
#> 4 4 0.520 0.726 0.840 0.3757 0.750 0.507
#> 5 5 0.676 0.729 0.856 0.1038 0.856 0.574
#> 6 6 0.659 0.584 0.785 0.0518 0.927 0.712
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
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.0000 0.9784 0.000 1.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 1 0.0000 0.9739 1.000 0.000
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.2603 0.9358 0.956 0.044
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.9739 1.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.9739 1.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.9739 1.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 2 0.0000 0.9784 0.000 1.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.9784 0.000 1.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.0000 0.9739 1.000 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0000 0.9739 1.000 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0000 0.9739 1.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.9739 1.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.0000 0.9739 1.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.0000 0.9784 0.000 1.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 1 0.0376 0.9707 0.996 0.004
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 1 0.0000 0.9739 1.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 1 0.0000 0.9739 1.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.0000 0.9739 1.000 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.0000 0.9739 1.000 0.000
#> C204D355-B876-4341-A111-36D48CBDD2A8 1 0.0000 0.9739 1.000 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.9784 0.000 1.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.0000 0.9739 1.000 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0000 0.9739 1.000 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0000 0.9739 1.000 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 1 0.0000 0.9739 1.000 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.0000 0.9739 1.000 0.000
#> 2B5DD791-7692-4721-9519-7D7D49B52570 1 0.0000 0.9739 1.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 1 0.0000 0.9739 1.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.9784 0.000 1.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.0000 0.9784 0.000 1.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.0000 0.9739 1.000 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 1 0.0000 0.9739 1.000 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.0000 0.9739 1.000 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.0000 0.9739 1.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.0000 0.9784 0.000 1.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 1 0.1184 0.9609 0.984 0.016
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 1 0.7056 0.7620 0.808 0.192
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.9784 0.000 1.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0000 0.9739 1.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0000 0.9739 1.000 0.000
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.0000 0.9784 0.000 1.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 1 0.0000 0.9739 1.000 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 1 0.3733 0.9098 0.928 0.072
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.0000 0.9739 1.000 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 1 0.0000 0.9739 1.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.0000 0.9739 1.000 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.0000 0.9739 1.000 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.9784 0.000 1.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 1 0.0000 0.9739 1.000 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.0000 0.9784 0.000 1.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0000 0.9739 1.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.0000 0.9784 0.000 1.000
#> B507E82F-6680-497B-A014-033EDD7A2E03 1 0.0000 0.9739 1.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 1 0.0000 0.9739 1.000 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.0000 0.9739 1.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 1 0.2603 0.9356 0.956 0.044
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 1 0.9044 0.5310 0.680 0.320
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 1 0.0000 0.9739 1.000 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.0000 0.9784 0.000 1.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0000 0.9739 1.000 0.000
#> 6D77ECAE-A715-4ADD-97D8-A916DC31A4EA 1 0.0000 0.9739 1.000 0.000
#> 09758B6F-1B2D-4AED-8913-696097069409 2 0.6247 0.8100 0.156 0.844
#> 8B709DB4-0B28-42F1-A7C5-106F5809BEA2 1 0.0000 0.9739 1.000 0.000
#> F2B356FA-79CD-4867-8ABF-84C90A493A75 1 0.0000 0.9739 1.000 0.000
#> 131213AD-0313-4DF1-B013-CE67ED262C37 2 0.0000 0.9784 0.000 1.000
#> D94F7E81-0F60-473B-AD4A-0AC13508BDE2 2 0.9286 0.4783 0.344 0.656
#> 29C17355-D646-48DA-9E54-7B6DD85DD610 1 0.0000 0.9739 1.000 0.000
#> B8BD866A-2A7C-45C3-96BB-9AB892D26AE5 1 0.0000 0.9739 1.000 0.000
#> 13EFD045-AD61-41EE-9896-67BFA4FC8C09 1 0.0000 0.9739 1.000 0.000
#> 2655F609-B3BB-4D01-B421-D5F4B1232EC8 2 0.0000 0.9784 0.000 1.000
#> 04BC7A52-C67F-42CB-8672-D3C51A20F2BA 1 0.0000 0.9739 1.000 0.000
#> 45472BD4-DBDB-41FE-B0E3-2440880E1DE6 1 0.0000 0.9739 1.000 0.000
#> B87FFFCD-CB57-4ACD-9C74-AB188984BBB2 1 0.0000 0.9739 1.000 0.000
#> 5271374C-13CD-4BFE-AC6D-C95AFE491322 1 0.0000 0.9739 1.000 0.000
#> E3372ACE-C7C8-43E5-B30A-1F2D662D8170 1 0.0000 0.9739 1.000 0.000
#> B08DF564-E4D0-4540-8160-93B3981DF1D8 1 0.0000 0.9739 1.000 0.000
#> 61A7D1B9-FC5A-4B9C-989F-936CDA948C27 1 0.0000 0.9739 1.000 0.000
#> 74E768C1-8766-46AC-AAB4-D79E5049F76A 2 0.0000 0.9784 0.000 1.000
#> 0CEA28F0-D7F0-4EB7-A23F-0C5CA6245971 1 0.9996 0.0454 0.512 0.488
#> 95C4EFF6-147C-48EC-A2C1-16B8F12AEEF2 2 0.0000 0.9784 0.000 1.000
#> C9A78BEA-D455-4F5E-8B7B-19BCB42887E7 1 0.0000 0.9739 1.000 0.000
#> DB970740-9AC1-4C10-9658-8A77B1C390DD 2 0.6048 0.8213 0.148 0.852
#> 883FBD37-0CA0-4562-8925-72ACC1EE93D9 1 0.0000 0.9739 1.000 0.000
#> 9FE1D006-49F2-471E-91E6-AF0414C24479 1 0.0000 0.9739 1.000 0.000
#> 11816CC6-8C8B-49C0-99EE-896377BCFCCD 1 0.0000 0.9739 1.000 0.000
#> 063FC5C8-4318-4ECC-9CA0-1976CBC8ACB6 1 0.0000 0.9739 1.000 0.000
#> E0F085CC-B90D-4FDE-B60E-C613971BAA00 1 0.0000 0.9739 1.000 0.000
#> 62361DA2-E4EE-46DA-BB1F-C51DCA9307CC 2 0.0000 0.9784 0.000 1.000
#> 1BA16D48-B09E-4699-A1AD-2FFECE4F3CDB 2 0.0000 0.9784 0.000 1.000
#> 3E4F14E9-60AE-4F17-9BA7-2A02E908204A 1 0.0000 0.9739 1.000 0.000
#> 79226DD7-BC85-4B8E-BFF8-B1E073129D34 1 0.0000 0.9739 1.000 0.000
#> D47D0936-826F-4D54-9225-F71B95357438 1 0.0000 0.9739 1.000 0.000
#> 0AE02B91-574C-4165-BA39-E9D7C1A870A2 2 0.0000 0.9784 0.000 1.000
#> DED8E9DF-CEFE-45ED-9374-EF9925A135C4 1 0.0000 0.9739 1.000 0.000
#> D587A993-3C47-4D4C-B744-59169D4F7451 1 0.0000 0.9739 1.000 0.000
#> 6BCA24E6-440F-42C5-ABE5-66C37B713A39 1 0.0000 0.9739 1.000 0.000
#> 86A5EDFB-9D06-4FED-BF57-F8D74A68E156 1 0.8207 0.6620 0.744 0.256
#> B9BD5134-2F6A-4454-8F83-69B63F9AE114 1 0.7056 0.7617 0.808 0.192
#> 082DA9E1-A40D-482B-8E21-A93BA97185F0 1 0.0000 0.9739 1.000 0.000
#> 16A8343A-1203-44FB-9F03-05CC7C71B4CC 1 0.0000 0.9739 1.000 0.000
#> 00439565-02CE-4BF5-956D-7078B51C0947 2 0.0376 0.9754 0.004 0.996
#> 7B2BD361-2BF1-4E97-BC08-457F5A9C2682 2 0.0000 0.9784 0.000 1.000
#> C1D8439A-D527-47F6-ADC1-25867B65DA21 2 0.0000 0.9784 0.000 1.000
#> D9096909-1439-462D-B69C-CAD1BF4F420C 1 0.0000 0.9739 1.000 0.000
#> 7822EA86-35A1-4285-9429-2B63111B9885 1 0.0000 0.9739 1.000 0.000
#> 6FD0CFC8-AC8D-4CF1-8C33-833AD98A30EF 2 0.0000 0.9784 0.000 1.000
#> A451F278-5E83-4BC6-9B15-3AA2117B99B6 2 0.3733 0.9119 0.072 0.928
#> 6EC25686-4547-459C-9E01-7EDF8DAECE35 1 0.0000 0.9739 1.000 0.000
#> 5D2F1EEA-2BA8-4C3A-8436-544EE1D23E7E 1 0.0000 0.9739 1.000 0.000
#> 675A4293-A4CE-4307-B00B-DFC4D44A87C6 2 0.0000 0.9784 0.000 1.000
#> 6FBE0AEF-476A-42B2-A857-846CF1ED92B6 2 0.0000 0.9784 0.000 1.000
#> 7139D616-1A15-4288-A9AE-411856A4A76D 1 0.6343 0.8050 0.840 0.160
#> 46D7F8C1-D5C5-40CC-BEF5-2E590A847BD9 1 0.4690 0.8771 0.900 0.100
#> 984C44D3-4F5F-44C9-BCD9-C991EBC1FCB8 1 0.0000 0.9739 1.000 0.000
#> 83FE52E0-2DC2-4580-8BB2-FBCBEE4AC240 1 0.0000 0.9739 1.000 0.000
#> 0923F9CB-DF6F-4BAA-A5F8-0F83CE60D1ED 1 0.0000 0.9739 1.000 0.000
#> 1DEB5206-78CC-4EB5-BCD5-85A6A5B4E273 1 0.0000 0.9739 1.000 0.000
#> E4DB18DA-EB0C-4B2F-9566-7F72222B16D4 1 0.0376 0.9708 0.996 0.004
#> F7456312-1309-4B2F-875D-0F90CDF3EC35 1 0.0000 0.9739 1.000 0.000
#> 9A25E5D8-0706-4960-A76B-BCD0AC93E4FA 1 0.0000 0.9739 1.000 0.000
#> 5A41FE8F-FFB3-4B87-BF11-A570C184096D 1 0.0000 0.9739 1.000 0.000
#> 33F84E63-3F6C-4867-ADB1-A0DF39F1295B 1 0.0000 0.9739 1.000 0.000
#> D6A644F5-D1D0-4A8D-94C4-EE6C3ECE7430 1 0.0000 0.9739 1.000 0.000
#> 2A5848CC-A9A2-4AA8-A752-321273E62CF0 1 0.0000 0.9739 1.000 0.000
#> 7CA6358B-FC8A-4675-B092-9E061038FC83 2 0.9833 0.2515 0.424 0.576
#> A4C2F4BC-5C62-4B1F-9AB8-46D9468EF523 2 0.0000 0.9784 0.000 1.000
#> 8AF4EB7F-418D-4CC9-A9B8-A93A4C1A173B 2 0.0000 0.9784 0.000 1.000
#> E5048887-70C8-468F-881E-2EC55F6E6F3B 1 0.0000 0.9739 1.000 0.000
#> 1BADCC7C-C4D8-4C34-9534-59D622C7A2A2 2 0.8813 0.5742 0.300 0.700
#> 02CE7DF7-64BD-4297-A240-A5B9EE8771D3 1 0.0000 0.9739 1.000 0.000
#> CBF6E96A-F56C-4C87-B851-D319930BAAB8 1 0.0000 0.9739 1.000 0.000
#> 48F6B774-CFD2-4DDF-B7A2-696596413C3F 1 0.0000 0.9739 1.000 0.000
#> 41D88C3E-5848-4B09-8A77-EAE6AC4EC6B0 2 0.0000 0.9784 0.000 1.000
#> BDF79CC0-00C7-49C1-900B-AB065A733B17 1 0.0000 0.9739 1.000 0.000
#> A894D686-BFC7-4AEE-A794-DBE718C6B6F6 2 0.0000 0.9784 0.000 1.000
#> 0712029E-3765-4272-BE5B-B6C8BCCC0F0F 2 0.0000 0.9784 0.000 1.000
#> 7B051855-9B09-4887-9BC0-9F077537938E 1 0.0000 0.9739 1.000 0.000
#> EF357C46-5C3C-4F51-9383-FF7694D07B97 2 0.0000 0.9784 0.000 1.000
#> 9492A322-37CA-4582-AC68-66B5D80778AF 2 0.0000 0.9784 0.000 1.000
#> 993399A4-1B9F-4258-B2D0-155AD58A2E82 1 0.0000 0.9739 1.000 0.000
#> 7B7DC93D-5494-4E69-BE07-2967887182F9 1 0.0000 0.9739 1.000 0.000
#> 29BCBA51-2580-473D-9CF7-BEDBD0DBAD1B 2 0.0000 0.9784 0.000 1.000
#> 40855647-E942-4F32-90B7-BEB921929BFB 1 0.0000 0.9739 1.000 0.000
#> 0DC723D0-7C68-4495-A4B9-2DF2FF19AB14 2 0.0000 0.9784 0.000 1.000
#> 7540005F-57E0-4E2E-A8A2-BEF2B0F333B1 2 0.0000 0.9784 0.000 1.000
#> EB1DDB14-4076-4C2C-B911-390C17C21486 1 0.0000 0.9739 1.000 0.000
#> 9EA70EC4-8BA0-4E3D-B3CB-A68D19E89868 1 0.0000 0.9739 1.000 0.000
#> B04E2E50-0A6E-4224-A825-1714D12E5669 2 0.0000 0.9784 0.000 1.000
#> B0BF5E01-536D-40FF-9C24-CBBD611E2FC2 1 0.7219 0.7468 0.800 0.200
#> 7B6B1788-B297-4442-B6BE-B7CE8754491E 1 0.0000 0.9739 1.000 0.000
#> A090D00C-34DF-4906-A517-4803C4C9A332 1 0.0000 0.9739 1.000 0.000
#> 340D44A6-9BEA-412C-9973-D9ABD6692255 1 0.0000 0.9739 1.000 0.000
#> E8D0D1E7-E5A8-4014-80C1-0245F90F4358 2 0.0000 0.9784 0.000 1.000
#> 19EA1494-8572-40E1-B9BB-3739F47B607D 1 0.0000 0.9739 1.000 0.000
#> 1C1B4793-8DAF-4763-BA4D-C4E869A4ED35 2 0.2043 0.9516 0.032 0.968
#> 45BF59B3-95BD-4196-ABAA-4C4F0DB38572 2 0.0000 0.9784 0.000 1.000
#> 47B5A2A7-7E13-4558-99D2-067F5075C6A4 1 0.0000 0.9739 1.000 0.000
#> E94638E8-CB51-4FBB-8BCB-4BFD7A812291 1 0.0000 0.9739 1.000 0.000
#> A17352A8-0D3C-4545-8136-7DAE2FB0E102 2 0.0000 0.9784 0.000 1.000
#> B18A6F95-D4ED-416B-B5A1-9A4934865D0D 2 0.0000 0.9784 0.000 1.000
#> 33E92C5F-0C42-4549-AD5B-0A064182A272 1 0.0000 0.9739 1.000 0.000
#> E041B375-3E60-4F18-A6EF-D1C249E3B8EE 1 0.0000 0.9739 1.000 0.000
#> EDF90AF6-6C64-4BD2-AADF-8D7D188650B2 2 0.0000 0.9784 0.000 1.000
#> 569320D2-316C-4E2D-B7B3-D7D5C4DAD42D 1 0.0000 0.9739 1.000 0.000
#> AFFB223D-DAE9-4567-9EF2-8E4DF9D8782D 2 0.0000 0.9784 0.000 1.000
#> 56FC9454-0A6A-4CC3-95C4-BE0E0D0BAFCE 2 0.0000 0.9784 0.000 1.000
#> 43226365-FAEF-46C5-AF1B-5C6C2BED84FF 1 0.9427 0.4494 0.640 0.360
#> 1536110A-B42A-4A84-9474-9895321FDCE9 2 0.0376 0.9755 0.004 0.996
#> 812255DD-536B-4216-90B1-27D5AB339BE2 1 0.0000 0.9739 1.000 0.000
#> 5D4563D6-68B7-4C9D-A3F4-AA7D45D5112C 2 0.0000 0.9784 0.000 1.000
#> BAA39781-DB94-473C-98B1-FA6CD3E1C67A 1 0.0000 0.9739 1.000 0.000
#> C1411CDA-814D-4E21-8929-C0F77858828F 1 0.0000 0.9739 1.000 0.000
#> EFE2F248-C13E-4E8D-9153-8C903848AC4A 1 0.8443 0.6334 0.728 0.272
#> D3939C84-D1D6-4060-9F91-AEB222A9BDD5 1 0.0000 0.9739 1.000 0.000
#> EABD2987-8C1E-49E5-94AF-C0BDE5335A48 1 0.0000 0.9739 1.000 0.000
#> F4BE2ABE-2CEB-4A6A-B8EC-0355F8C63B9B 1 0.0000 0.9739 1.000 0.000
#> 627BC251-D217-4955-B718-6B9D6DEA1756 1 0.0000 0.9739 1.000 0.000
#> 31B54613-A20E-4039-BB8B-9B52104CE418 1 0.0000 0.9739 1.000 0.000
#> 3F292B7C-A535-4DBD-BC20-CB4F85A1C94B 1 0.2603 0.9371 0.956 0.044
#> BEA2A5EB-EEA9-4F31-AC38-810E04CE124B 2 0.0000 0.9784 0.000 1.000
#> 99D84D46-19DA-43F1-B639-DCE9953F1529 2 0.0000 0.9784 0.000 1.000
#> 4588817E-1068-4A78-86B6-4674A0112DDA 1 0.1184 0.9609 0.984 0.016
#> 6AC633BD-BEC1-4750-94E3-378972DAB6B3 2 0.0000 0.9784 0.000 1.000
#> 09E17C6E-7EDE-4DDF-B5ED-2521AF870C9A 1 0.0000 0.9739 1.000 0.000
#> 58D9C750-26A2-4B7C-84C4-13D7AFB4C5EA 1 0.0000 0.9739 1.000 0.000
#> DF28E138-E222-4F77-9B61-69E601CA7E60 2 0.0000 0.9784 0.000 1.000
#> FEA489A8-E423-4266-AADA-9BAAB29AB94B 1 0.0000 0.9739 1.000 0.000
#> F3FCC207-15CD-41EA-A3EF-F5D2C12AC373 1 0.0000 0.9739 1.000 0.000
#> 53DD7AFB-A258-4643-A501-BACC95D17A50 2 0.0000 0.9784 0.000 1.000
#> D850B2A1-1F8A-4A44-A0CF-8D9DD4A1889A 2 0.0000 0.9784 0.000 1.000
#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.0000 0.9784 0.000 1.000
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.0000 0.9739 1.000 0.000
#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.0000 0.9739 1.000 0.000
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.0000 0.9739 1.000 0.000
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.0000 0.9739 1.000 0.000
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.0000 0.9739 1.000 0.000
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.0000 0.9784 0.000 1.000
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.0000 0.9739 1.000 0.000
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.0000 0.9739 1.000 0.000
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.7139 0.7563 0.804 0.196
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.0000 0.9739 1.000 0.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 2 0.0000 0.9784 0.000 1.000
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.0000 0.9739 1.000 0.000
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.0000 0.9739 1.000 0.000
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.0000 0.9739 1.000 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.0000 0.9739 1.000 0.000
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0000 0.9739 1.000 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 2 0.8207 0.6524 0.256 0.744
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.0000 0.9739 1.000 0.000
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 2 0.0000 0.9784 0.000 1.000
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.0000 0.9784 0.000 1.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 2 0.4939 0.8712 0.108 0.892
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.0000 0.9739 1.000 0.000
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0000 0.9739 1.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 1 0.3879 0.9035 0.924 0.076
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0000 0.9739 1.000 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.0000 0.9784 0.000 1.000
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 2 0.0000 0.9784 0.000 1.000
#> DD51C17C-300F-44A4-955A-C9BC85417842 2 0.0000 0.9784 0.000 1.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0000 0.9739 1.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.0000 0.9739 1.000 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.0000 0.9784 0.000 1.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 1 0.7139 0.7528 0.804 0.196
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.9784 0.000 1.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.9784 0.000 1.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0000 0.9784 0.000 1.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.0000 0.9739 1.000 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 2 0.1843 0.9549 0.028 0.972
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.0000 0.9739 1.000 0.000
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0000 0.9739 1.000 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0000 0.9739 1.000 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.0000 0.9739 1.000 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.2043 0.9468 0.968 0.032
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.7056 0.7618 0.808 0.192
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0000 0.9739 1.000 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.0000 0.9784 0.000 1.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.0000 0.9739 1.000 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.0000 0.9739 1.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 1 0.1414 0.9574 0.980 0.020
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.0000 0.9784 0.000 1.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.9784 0.000 1.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0000 0.9739 1.000 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.0000 0.9784 0.000 1.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.0376 0.9755 0.004 0.996
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0000 0.9739 1.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0000 0.9739 1.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.9784 0.000 1.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.0000 0.9784 0.000 1.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.0000 0.9739 1.000 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.9739 1.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0000 0.9739 1.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.0000 0.9784 0.000 1.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0000 0.9739 1.000 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.0000 0.9784 0.000 1.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.9739 1.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.0000 0.9739 1.000 0.000
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.0000 0.9739 1.000 0.000
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.0000 0.9739 1.000 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.9739 1.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.0000 0.9784 0.000 1.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0000 0.9739 1.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.0000 0.9739 1.000 0.000
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0000 0.9739 1.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0000 0.9739 1.000 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.0376 0.9708 0.996 0.004
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.9739 1.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.0000 0.9739 1.000 0.000
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.0000 0.9739 1.000 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.0000 0.9739 1.000 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0000 0.9739 1.000 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 1 0.0672 0.9674 0.992 0.008
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0000 0.9739 1.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.9784 0.000 1.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0000 0.9739 1.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.2603 0.9403 0.044 0.956
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0000 0.9739 1.000 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.9739 1.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0000 0.9739 1.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.9784 0.000 1.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 1 0.9988 0.0889 0.520 0.480
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 2 0.0000 0.9784 0.000 1.000
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 2 0.0000 0.9784 0.000 1.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.0938 0.9691 0.012 0.988
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.0000 0.9739 1.000 0.000
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 2 0.3274 0.9265 0.060 0.940
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0000 0.9739 1.000 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0000 0.9739 1.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.0000 0.9784 0.000 1.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0000 0.9739 1.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.0000 0.9784 0.000 1.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0000 0.9739 1.000 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 1 0.9522 0.4094 0.628 0.372
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 2 0.0938 0.9691 0.012 0.988
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.0376 0.9755 0.004 0.996
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.3274 0.9199 0.940 0.060
#> 6752EED9-7990-433F-A206-D5398C396471 1 0.0376 0.9707 0.996 0.004
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.9522 0.4221 0.628 0.372
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.0000 0.9739 1.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.0376 0.9708 0.996 0.004
#> 1ABBEF80-508F-4247-B43D-3E549372113B 1 0.9998 0.0290 0.508 0.492
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.0000 0.9739 1.000 0.000
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0000 0.9739 1.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.0000 0.9739 1.000 0.000
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.9784 0.000 1.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.9784 0.000 1.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.0000 0.9739 1.000 0.000
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.9739 1.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0000 0.9739 1.000 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0000 0.9739 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.0237 0.604 0.000 0.996 0.004
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.0424 0.837 0.008 0.000 0.992
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 1 0.0424 0.939 0.992 0.008 0.000
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.0000 0.943 1.000 0.000 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.0000 0.943 1.000 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.0000 0.943 1.000 0.000 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 2 0.5859 0.664 0.344 0.656 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.4235 0.657 0.176 0.824 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 1 0.0000 0.943 1.000 0.000 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0237 0.942 0.996 0.000 0.004
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.0237 0.941 0.996 0.004 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0000 0.943 1.000 0.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 1 0.0000 0.943 1.000 0.000 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.3192 0.642 0.112 0.888 0.000
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#> B3F746DC-E487-4305-9F30-825D1520E8FD 2 0.6079 0.643 0.388 0.612 0.000
#> BE38240A-F7C2-439F-9AAE-51C8A340F310 1 0.1643 0.909 0.956 0.000 0.044
#> A9022D9E-1D30-49EE-8552-1364A8027F34 1 0.6302 0.101 0.520 0.000 0.480
#> 0E8A56EE-D9A2-48A5-B793-A358BE1E4EFA 1 0.0592 0.938 0.988 0.000 0.012
#> 51667574-318E-4BDB-8F42-8512A4C1B84F 1 0.0000 0.943 1.000 0.000 0.000
#> B0A442C9-67E4-4534-8A5C-D6D73F42358C 1 0.0237 0.942 0.996 0.000 0.004
#> 25A5BC09-0D88-4385-87AF-997F9018522D 2 0.6062 0.648 0.384 0.616 0.000
#> 344B9631-AAA5-4302-8747-D584345D9131 1 0.0237 0.942 0.996 0.000 0.004
#> 1C3795AD-6306-4892-95F5-92DF3375D46A 1 0.0237 0.941 0.996 0.004 0.000
#> 17BB221D-8BF9-4391-83DD-423AE1E03651 1 0.1529 0.905 0.960 0.040 0.000
#> 297611E9-9555-4BCA-A723-02E846ACC23A 1 0.0237 0.941 0.996 0.004 0.000
#> AD7FF180-1EAC-4783-8A62-E9626B96DD9F 2 0.5706 -0.053 0.000 0.680 0.320
#> FD544083-9BD5-4036-BD81-0352B67CC45C 1 0.0424 0.941 0.992 0.000 0.008
#> 879A74D5-5B29-418D-A0F4-8E88D6384008 1 0.1163 0.924 0.972 0.000 0.028
#> 43CD982C-13C0-4A52-803A-9A3A3FAE09BC 1 0.0237 0.941 0.996 0.004 0.000
#> DCD0313D-5206-4111-8743-A8A0227257D9 1 0.6235 0.236 0.564 0.000 0.436
#> 331A9160-D730-45DD-A985-C6CAC03035ED 1 0.0000 0.943 1.000 0.000 0.000
#> 9EEECA0E-530D-4724-B016-A716F0782148 2 0.6260 0.547 0.448 0.552 0.000
#> B3073976-CA3F-4115-9243-8C2D9E1B975D 1 0.0424 0.941 0.992 0.000 0.008
#> 77B3C9B4-1A7F-41BB-A37D-01EF80E933CC 3 0.6215 0.592 0.000 0.428 0.572
#> C0C26822-2E9F-4FB0-81D4-575027C8B71C 2 0.5529 0.669 0.296 0.704 0.000
#> F1FCE328-2B3B-499A-888D-0E66A017E8B0 3 0.5733 0.686 0.000 0.324 0.676
#> F069DAD6-F1EB-42F7-8252-F3F6EC46CC3E 1 0.0237 0.942 0.996 0.000 0.004
#> 99CC822E-8C98-4EEC-BB58-AEF76A0B5332 1 0.0000 0.943 1.000 0.000 0.000
#> C86EBD08-53F2-4972-801A-74970FDD6A62 3 0.0237 0.839 0.000 0.004 0.996
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.0237 0.941 0.996 0.004 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.0237 0.604 0.000 0.996 0.004
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 3 0.6260 0.564 0.000 0.448 0.552
#> DD51C17C-300F-44A4-955A-C9BC85417842 2 0.6244 0.565 0.440 0.560 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0000 0.943 1.000 0.000 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.0237 0.941 0.996 0.004 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.0237 0.604 0.000 0.996 0.004
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 3 0.0237 0.839 0.000 0.004 0.996
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0237 0.611 0.004 0.996 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0237 0.611 0.004 0.996 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0424 0.613 0.008 0.992 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 1 0.0424 0.941 0.992 0.000 0.008
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 2 0.6225 0.580 0.432 0.568 0.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 3 0.0892 0.829 0.020 0.000 0.980
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.0237 0.942 0.996 0.000 0.004
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.0237 0.942 0.996 0.000 0.004
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 1 0.0237 0.941 0.996 0.004 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 1 0.0237 0.941 0.996 0.004 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.1289 0.914 0.968 0.032 0.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.0424 0.941 0.992 0.000 0.008
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.5327 0.668 0.272 0.728 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.0237 0.941 0.996 0.004 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 1 0.0237 0.941 0.996 0.004 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 3 0.0000 0.839 0.000 0.000 1.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.5882 0.663 0.348 0.652 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.607 0.000 1.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.2261 0.884 0.932 0.000 0.068
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.6079 0.643 0.388 0.612 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 2 0.6215 0.587 0.428 0.572 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 1 0.0000 0.943 1.000 0.000 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0592 0.938 0.988 0.000 0.012
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.607 0.000 1.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.4452 0.660 0.192 0.808 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 1 0.0237 0.941 0.996 0.004 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 1 0.0000 0.943 1.000 0.000 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.0892 0.931 0.980 0.000 0.020
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.4555 0.661 0.200 0.800 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.0237 0.942 0.996 0.000 0.004
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.6140 0.623 0.404 0.596 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.0000 0.943 1.000 0.000 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.6252 0.212 0.556 0.000 0.444
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.4796 0.701 0.780 0.000 0.220
#> 54504893-92C5-4328-85A8-2A882680B5E0 1 0.0424 0.941 0.992 0.000 0.008
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 1 0.0000 0.943 1.000 0.000 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.6180 0.606 0.416 0.584 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.0424 0.941 0.992 0.000 0.008
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 1 0.6260 0.201 0.552 0.000 0.448
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.0000 0.943 1.000 0.000 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.0424 0.941 0.992 0.000 0.008
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.5138 0.510 0.748 0.252 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.0000 0.943 1.000 0.000 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.6252 0.212 0.556 0.000 0.444
#> 02ABB64E-768B-4999-A899-EEE573D5F186 1 0.0237 0.942 0.996 0.000 0.004
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.4178 0.696 0.828 0.172 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 1 0.0237 0.941 0.996 0.004 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 3 0.0237 0.839 0.004 0.000 0.996
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.0424 0.941 0.992 0.000 0.008
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.607 0.000 1.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.0237 0.941 0.996 0.004 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 2 0.6244 0.565 0.440 0.560 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.0237 0.942 0.996 0.000 0.004
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.0000 0.943 1.000 0.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.0237 0.942 0.996 0.000 0.004
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.607 0.000 1.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 2 0.6274 0.529 0.456 0.544 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 3 0.6126 0.624 0.000 0.400 0.600
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 2 0.6225 0.580 0.432 0.568 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.6225 0.580 0.432 0.568 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 1 0.4121 0.768 0.832 0.000 0.168
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 2 0.6235 0.573 0.436 0.564 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0237 0.941 0.996 0.004 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0424 0.941 0.992 0.000 0.008
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.6079 0.643 0.388 0.612 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0237 0.942 0.996 0.000 0.004
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.6062 0.648 0.384 0.616 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 1 0.0237 0.941 0.996 0.004 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 3 0.0424 0.838 0.000 0.008 0.992
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 2 0.6252 0.556 0.444 0.556 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.6215 0.587 0.428 0.572 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 1 0.1643 0.900 0.956 0.044 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 3 0.0000 0.839 0.000 0.000 1.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 1 0.4931 0.563 0.768 0.232 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 1 0.0000 0.943 1.000 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 1 0.0237 0.941 0.996 0.004 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 3 0.6180 0.222 0.416 0.000 0.584
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.5733 0.511 0.676 0.000 0.324
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0237 0.941 0.996 0.004 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 3 0.0424 0.837 0.008 0.000 0.992
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.607 0.000 1.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0237 0.611 0.004 0.996 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 1 0.0424 0.941 0.992 0.000 0.008
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 1 0.0000 0.943 1.000 0.000 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.0892 0.932 0.980 0.000 0.020
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0237 0.941 0.996 0.004 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 2 0.5883 0.7120 0.128 0.700 0.172 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 4 0.1452 0.8425 0.008 0.000 0.036 0.956
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 3 0.4334 0.6773 0.160 0.004 0.804 0.032
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.1867 0.8237 0.928 0.000 0.072 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.2814 0.8373 0.868 0.000 0.132 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.1389 0.8335 0.952 0.000 0.048 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.2760 0.7308 0.000 0.128 0.872 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0000 0.8152 0.000 1.000 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 3 0.2973 0.7285 0.144 0.000 0.856 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0469 0.8104 0.988 0.000 0.012 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.2704 0.8400 0.876 0.000 0.124 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.2814 0.8378 0.868 0.000 0.132 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.2011 0.7888 0.080 0.000 0.920 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 2 0.3853 0.7793 0.020 0.820 0.160 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 4 0.0000 0.8529 0.000 0.000 0.000 1.000
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.3444 0.7368 0.184 0.000 0.816 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.4248 0.6878 0.220 0.000 0.768 0.012
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 1 0.2216 0.7530 0.908 0.000 0.092 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.2401 0.7547 0.904 0.000 0.004 0.092
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.0817 0.7793 0.024 0.000 0.976 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.8152 0.000 1.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.2647 0.8408 0.880 0.000 0.120 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.0817 0.8046 0.976 0.000 0.024 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.2149 0.8430 0.912 0.000 0.088 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.2011 0.7877 0.080 0.000 0.920 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.1389 0.8128 0.952 0.000 0.000 0.048
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.2973 0.7706 0.144 0.000 0.856 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.4948 0.1541 0.440 0.000 0.560 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.8152 0.000 1.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 2 0.5346 0.7379 0.076 0.732 0.192 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 1 0.2345 0.7449 0.900 0.000 0.100 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 3 0.1474 0.7871 0.052 0.000 0.948 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.4643 0.5905 0.656 0.000 0.344 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.2921 0.8344 0.860 0.000 0.140 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.3942 0.6878 0.000 0.764 0.236 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 3 0.3224 0.7517 0.120 0.016 0.864 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 3 0.3306 0.6910 0.156 0.004 0.840 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.8152 0.000 1.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.2704 0.8421 0.876 0.000 0.124 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.2843 0.8438 0.892 0.000 0.088 0.020
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.4164 0.7305 0.000 0.736 0.264 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.2011 0.7891 0.080 0.000 0.920 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.2216 0.7866 0.092 0.000 0.908 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.1716 0.8394 0.936 0.000 0.064 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.3569 0.7241 0.196 0.000 0.804 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.2704 0.8400 0.876 0.000 0.124 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.1118 0.8299 0.964 0.000 0.036 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.8152 0.000 1.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.1211 0.7824 0.040 0.000 0.960 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.1474 0.8156 0.000 0.948 0.052 0.000
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#> C86EBD08-53F2-4972-801A-74970FDD6A62 4 0.0000 0.8529 0.000 0.000 0.000 1.000
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.2530 0.8424 0.888 0.000 0.112 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.4513 0.7500 0.000 0.804 0.120 0.076
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 4 0.3975 0.6927 0.000 0.240 0.000 0.760
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.0188 0.7704 0.000 0.004 0.996 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0336 0.8124 0.992 0.000 0.008 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 1 0.3311 0.6641 0.828 0.000 0.172 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.1118 0.8176 0.000 0.964 0.036 0.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 4 0.0000 0.8529 0.000 0.000 0.000 1.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0000 0.8152 0.000 1.000 0.000 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.8152 0.000 1.000 0.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.0817 0.8184 0.000 0.976 0.024 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.4643 0.4912 0.344 0.000 0.656 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.1820 0.7753 0.020 0.036 0.944 0.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.4431 0.6177 0.696 0.000 0.000 0.304
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.1867 0.8377 0.928 0.000 0.072 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.1211 0.8079 0.960 0.000 0.040 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.1940 0.7879 0.076 0.000 0.924 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.0707 0.7772 0.020 0.000 0.980 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 1 0.5057 0.3604 0.648 0.012 0.340 0.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.2704 0.8400 0.876 0.000 0.124 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.2216 0.8008 0.000 0.908 0.092 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.4761 0.5407 0.628 0.000 0.372 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.2921 0.7734 0.140 0.000 0.860 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 4 0.0000 0.8529 0.000 0.000 0.000 1.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 2 0.4800 0.6393 0.004 0.656 0.340 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.0000 0.8152 0.000 1.000 0.000 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.0592 0.8085 0.984 0.000 0.016 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 2 0.4999 0.6474 0.012 0.660 0.328 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 3 0.2469 0.7187 0.000 0.108 0.892 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.4898 0.2332 0.416 0.000 0.584 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.2831 0.8410 0.876 0.000 0.120 0.004
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0000 0.8152 0.000 1.000 0.000 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.1022 0.8180 0.000 0.968 0.032 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.2081 0.7885 0.084 0.000 0.916 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 3 0.4164 0.6311 0.264 0.000 0.736 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 1 0.4277 0.7031 0.720 0.000 0.280 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 2 0.5891 0.7089 0.132 0.700 0.168 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.3356 0.8134 0.824 0.000 0.176 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 2 0.6024 0.4505 0.044 0.540 0.416 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.4933 0.3405 0.568 0.000 0.432 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.3311 0.7672 0.828 0.000 0.000 0.172
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.3810 0.7547 0.804 0.000 0.008 0.188
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.3975 0.6806 0.240 0.000 0.760 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 3 0.4072 0.6559 0.252 0.000 0.748 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.4605 0.5022 0.000 0.664 0.336 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.3649 0.7906 0.796 0.000 0.204 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 4 0.3486 0.7129 0.188 0.000 0.000 0.812
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.4277 0.7176 0.720 0.000 0.280 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.2408 0.8443 0.896 0.000 0.104 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.6446 0.4471 0.584 0.088 0.328 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.2081 0.8425 0.916 0.000 0.084 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.5137 0.2795 0.544 0.000 0.004 0.452
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.4776 0.3695 0.376 0.000 0.624 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.5355 0.7410 0.736 0.084 0.180 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 3 0.1792 0.7910 0.068 0.000 0.932 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 4 0.0188 0.8520 0.004 0.000 0.000 0.996
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.2704 0.8400 0.876 0.000 0.124 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0000 0.8152 0.000 1.000 0.000 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.3123 0.8252 0.844 0.000 0.156 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 3 0.4215 0.6731 0.072 0.104 0.824 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.1389 0.7906 0.952 0.000 0.048 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.3444 0.8065 0.816 0.000 0.184 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.2921 0.8344 0.860 0.000 0.140 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.8152 0.000 1.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 3 0.2578 0.7433 0.036 0.052 0.912 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 4 0.2973 0.7939 0.000 0.144 0.000 0.856
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 2 0.7046 0.5122 0.136 0.524 0.340 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 2 0.6893 0.5759 0.136 0.564 0.300 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 4 0.6548 0.4646 0.188 0.000 0.176 0.636
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.2174 0.7845 0.052 0.020 0.928 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.1118 0.8321 0.964 0.000 0.036 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.2281 0.8434 0.904 0.000 0.096 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 2 0.7063 0.4674 0.132 0.508 0.360 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.3024 0.8308 0.852 0.000 0.148 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 2 0.5597 0.2530 0.020 0.516 0.464 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 3 0.2973 0.7784 0.144 0.000 0.856 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 4 0.0000 0.8529 0.000 0.000 0.000 1.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.3149 0.7491 0.032 0.088 0.880 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 2 0.6897 0.5349 0.124 0.544 0.332 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 3 0.4980 0.6145 0.304 0.016 0.680 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 4 0.0000 0.8529 0.000 0.000 0.000 1.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 3 0.5810 0.5930 0.276 0.064 0.660 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.3172 0.7576 0.160 0.000 0.840 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 3 0.3300 0.6888 0.144 0.008 0.848 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 4 0.4932 0.6843 0.240 0.000 0.032 0.728
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.3552 0.8344 0.848 0.000 0.128 0.024
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.2216 0.8435 0.908 0.000 0.092 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.4477 0.5826 0.688 0.000 0.000 0.312
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.8152 0.000 1.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.8152 0.000 1.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.3161 0.7771 0.124 0.000 0.864 0.012
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 3 0.3486 0.7336 0.188 0.000 0.812 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 1 0.3464 0.7153 0.860 0.000 0.032 0.108
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.0921 0.8025 0.972 0.000 0.028 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 4 0.1517 0.8090 0.004 0.028 0.012 0.952 0.004
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 5 0.3586 0.6193 0.000 0.000 0.264 0.000 0.736
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 4 0.1442 0.8115 0.004 0.000 0.032 0.952 0.012
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.2179 0.8232 0.896 0.000 0.004 0.100 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.1270 0.8588 0.948 0.000 0.052 0.000 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.2522 0.8283 0.880 0.000 0.012 0.108 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.2193 0.8036 0.044 0.008 0.920 0.028 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0451 0.8821 0.008 0.988 0.000 0.004 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 4 0.4537 0.3967 0.012 0.000 0.396 0.592 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0880 0.8526 0.968 0.000 0.000 0.032 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.1270 0.8588 0.948 0.000 0.052 0.000 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 1 0.0671 0.8604 0.980 0.000 0.016 0.004 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0807 0.8167 0.012 0.000 0.976 0.012 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 4 0.3759 0.6955 0.000 0.220 0.016 0.764 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 5 0.1357 0.8271 0.048 0.000 0.004 0.000 0.948
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0794 0.8175 0.028 0.000 0.972 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.1410 0.8111 0.060 0.000 0.940 0.000 0.000
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 4 0.3491 0.6279 0.228 0.000 0.004 0.768 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.3051 0.8047 0.852 0.000 0.000 0.120 0.028
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.2753 0.7508 0.008 0.000 0.856 0.136 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.8846 0.000 1.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.1282 0.8617 0.952 0.000 0.044 0.004 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.1544 0.8402 0.932 0.000 0.000 0.068 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.1386 0.8634 0.952 0.000 0.032 0.016 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.0290 0.8119 0.000 0.000 0.992 0.008 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.2047 0.8485 0.928 0.000 0.012 0.040 0.020
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.1041 0.8189 0.032 0.000 0.964 0.004 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.3837 0.5132 0.308 0.000 0.692 0.000 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0162 0.8849 0.000 0.996 0.000 0.004 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 4 0.2624 0.7889 0.000 0.116 0.012 0.872 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 4 0.3730 0.5501 0.288 0.000 0.000 0.712 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 3 0.4213 0.4724 0.012 0.000 0.680 0.308 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 1 0.4386 0.7341 0.764 0.000 0.096 0.140 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.2852 0.7809 0.828 0.000 0.172 0.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.4036 0.7530 0.052 0.804 0.132 0.012 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 4 0.4665 0.6186 0.048 0.000 0.260 0.692 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 4 0.1892 0.8113 0.004 0.000 0.080 0.916 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.8846 0.000 1.000 0.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.0794 0.8610 0.972 0.000 0.028 0.000 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.1082 0.8618 0.964 0.000 0.028 0.000 0.008
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.6322 0.0768 0.004 0.480 0.140 0.376 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.0671 0.8177 0.016 0.000 0.980 0.004 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.0798 0.8150 0.008 0.000 0.976 0.016 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 1 0.2677 0.8120 0.872 0.000 0.016 0.112 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.1041 0.8173 0.032 0.000 0.964 0.004 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.1197 0.8611 0.952 0.000 0.048 0.000 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.1877 0.8485 0.924 0.000 0.012 0.064 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0162 0.8850 0.000 0.996 0.004 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.2732 0.7260 0.000 0.000 0.840 0.160 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 2 0.4025 0.5628 0.000 0.700 0.008 0.292 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.1043 0.8604 0.960 0.000 0.040 0.000 0.000
#> 0AF351D0-4EC5-4275-AA0A-4FA2AF8A9C85 2 0.1251 0.8669 0.000 0.956 0.000 0.008 0.036
#> B507E82F-6680-497B-A014-033EDD7A2E03 3 0.1608 0.8007 0.072 0.000 0.928 0.000 0.000
#> F941890E-AB33-478F-8C97-1C785DD9428F 4 0.2659 0.8086 0.052 0.000 0.060 0.888 0.000
#> 7987E019-8FED-469B-A6C1-34EE430A60C3 1 0.1043 0.8609 0.960 0.000 0.040 0.000 0.000
#> 76084AA6-19BF-4605-B6A1-73F1D4BADAF9 3 0.2513 0.7642 0.008 0.000 0.876 0.116 0.000
#> 329807F7-E0D4-4F53-94E8-E4080E90CB47 5 0.0000 0.8538 0.000 0.000 0.000 0.000 1.000
#> 1B6505FF-C1A7-4DD0-9827-41A0A3A28F3E 4 0.4632 0.2423 0.012 0.000 0.448 0.540 0.000
#> 49778E92-B5D3-4AD9-A1AF-3B722D631B96 2 0.2488 0.8120 0.000 0.872 0.004 0.124 0.000
#> A22892DE-0AF4-4B63-9513-1D6825059040 1 0.0609 0.8608 0.980 0.000 0.020 0.000 0.000
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#> C86EBD08-53F2-4972-801A-74970FDD6A62 5 0.0000 0.8538 0.000 0.000 0.000 0.000 1.000
#> F07326F2-C1D6-4D5A-9693-25C3A04B0EC2 1 0.1282 0.8613 0.952 0.000 0.044 0.004 0.000
#> 8ACBD428-7713-48D9-810A-43C9CD191A73 2 0.2854 0.8270 0.000 0.880 0.084 0.008 0.028
#> 3D3501B4-1A43-4FA7-90A2-CCEBF66BFD4A 5 0.2236 0.8148 0.000 0.068 0.000 0.024 0.908
#> DD51C17C-300F-44A4-955A-C9BC85417842 3 0.2233 0.7895 0.016 0.000 0.904 0.080 0.000
#> 58FF391C-1D83-426C-8F92-C15F78F56C95 1 0.0703 0.8526 0.976 0.000 0.000 0.024 0.000
#> ACE65C6E-2B10-4972-91B4-9199DD4B179D 4 0.1331 0.8051 0.040 0.000 0.008 0.952 0.000
#> B2088466-FA5D-491C-9982-99B33683E66F 2 0.0566 0.8844 0.000 0.984 0.004 0.012 0.000
#> D47AF416-1687-4FE0-A235-8815B6E8EB0B 5 0.0000 0.8538 0.000 0.000 0.000 0.000 1.000
#> 4DCAD07F-CC43-46F6-B2F3-EDBF3EDD1045 2 0.0162 0.8844 0.000 0.996 0.000 0.004 0.000
#> AAAE0BD9-63FC-4A0E-A27E-447B634BAD99 2 0.0000 0.8846 0.000 1.000 0.000 0.000 0.000
#> BC471AA1-52CF-4CEE-9866-34CE91404F45 2 0.1894 0.8539 0.000 0.920 0.008 0.072 0.000
#> 81D3EE3F-AC11-404F-8092-307F0DC12198 3 0.3141 0.7435 0.152 0.000 0.832 0.016 0.000
#> 8C02026C-C25E-406B-B8B8-A1A82362AE79 3 0.1179 0.8131 0.016 0.004 0.964 0.016 0.000
#> 6A005F2A-A0C1-4CA4-B15B-96B08F013874 1 0.4242 0.3539 0.572 0.000 0.000 0.000 0.428
#> B55743F2-4D63-4375-85D3-F58281CFD852 1 0.2110 0.8489 0.912 0.000 0.016 0.072 0.000
#> 24F98393-C817-4D0E-A7DB-05D2B5C71F40 1 0.3086 0.7736 0.816 0.000 0.004 0.180 0.000
#> 2C2AEF1D-4112-4EC7-9027-5E3FD26E8802 3 0.0451 0.8150 0.008 0.000 0.988 0.004 0.000
#> 8BAC3CB5-2987-4349-8AE8-B83DDD16CA3C 3 0.0912 0.8160 0.012 0.000 0.972 0.016 0.000
#> ED9C74E6-92FC-4E58-8FCE-1761DEA0C977 4 0.1671 0.7944 0.076 0.000 0.000 0.924 0.000
#> BA732ED4-F6BA-404E-BA3C-CA558FAD866A 1 0.1041 0.8618 0.964 0.000 0.032 0.004 0.000
#> E750385A-12D9-4A88-B4DF-C1306B5EF3B7 2 0.2922 0.8271 0.024 0.880 0.080 0.016 0.000
#> 6B1DC5E4-5F82-4395-913F-6AEDB5B63188 1 0.4648 0.6783 0.740 0.000 0.156 0.104 0.000
#> A7C12D37-FD50-4674-A054-1774F4E5C3B3 3 0.0880 0.8188 0.032 0.000 0.968 0.000 0.000
#> 2155C764-2063-4D9C-9ACD-96AA73475F5E 5 0.0000 0.8538 0.000 0.000 0.000 0.000 1.000
#> DE23CC15-A95E-4119-9B3C-8EEC45900D11 4 0.6492 0.3236 0.004 0.324 0.180 0.492 0.000
#> 5DB1DCAD-638E-48A4-9F40-3D6268FDEC33 2 0.1908 0.8408 0.000 0.908 0.000 0.092 0.000
#> 34AF0341-73D7-4080-AAEB-4C1541C2569F 1 0.1732 0.8403 0.920 0.000 0.000 0.080 0.000
#> B60D4235-44AF-4BA4-98C0-BCCDC28E90B9 4 0.6049 0.4613 0.004 0.300 0.132 0.564 0.000
#> CF463D89-2C9F-4257-BF04-8BC1CD40EA7D 3 0.5138 0.4973 0.020 0.040 0.672 0.268 0.000
#> EF6C8165-484A-4530-AEDF-93DCC4A8455D 3 0.3635 0.6419 0.248 0.000 0.748 0.004 0.000
#> B9F6B5E4-4D10-49B8-A8FE-8F33C5A62CBF 1 0.0794 0.8614 0.972 0.000 0.028 0.000 0.000
#> CE539000-92D7-4622-9C8D-BC6E01310681 2 0.0162 0.8844 0.000 0.996 0.000 0.004 0.000
#> D3BBC405-A22A-4009-ABF6-96FEEE653051 2 0.2523 0.8560 0.024 0.908 0.040 0.028 0.000
#> 0B3C86BD-0D20-4408-9BE3-05658729505F 3 0.0566 0.8164 0.012 0.000 0.984 0.004 0.000
#> 9B9C5071-7C3F-416C-B91C-6F5966747F54 3 0.3333 0.6955 0.208 0.000 0.788 0.004 0.000
#> A9469A4A-C5F9-4681-A916-A26F0B4307BA 3 0.4268 0.1316 0.444 0.000 0.556 0.000 0.000
#> A31B57E4-E30B-4A1B-829D-1B47D9CEC041 4 0.2068 0.7995 0.004 0.092 0.000 0.904 0.000
#> 647255CE-F84A-4070-B3FD-D8ACA32C4D09 1 0.3895 0.5859 0.680 0.000 0.320 0.000 0.000
#> 8F5E9F02-51D7-410E-B8B7-22737F2F095A 4 0.4592 0.7508 0.008 0.120 0.108 0.764 0.000
#> 8074A7F6-2FDE-4578-B71C-01C542D468FE 1 0.5216 0.5816 0.660 0.000 0.248 0.092 0.000
#> 2A946F17-F245-409E-A019-C60CDA18DC7D 1 0.2179 0.8195 0.888 0.000 0.000 0.000 0.112
#> 0878C381-47F9-4786-82C2-94AC840BEDCB 1 0.4464 0.4912 0.632 0.000 0.004 0.008 0.356
#> 54504893-92C5-4328-85A8-2A882680B5E0 3 0.3013 0.7342 0.160 0.000 0.832 0.008 0.000
#> 0A27D1BE-E5DD-459A-A51F-6D8AAF7CFEB4 4 0.6110 0.4385 0.216 0.000 0.216 0.568 0.000
#> 89ED5A3E-CAC0-4AB4-B858-A3CD8F34DBD5 2 0.4752 0.2837 0.020 0.568 0.412 0.000 0.000
#> ACEEB0A5-AADB-4EF9-8710-4BAF95522CEA 1 0.3816 0.5996 0.696 0.000 0.304 0.000 0.000
#> 02C74D81-5976-4252-BC6C-B10E934DECA2 5 0.0324 0.8529 0.004 0.000 0.004 0.000 0.992
#> D365A238-4739-4B54-9608-DC548F21C04E 1 0.4428 0.7328 0.760 0.000 0.144 0.096 0.000
#> F70F7ED5-A3B7-4210-95AD-DEFA0A565F06 1 0.3151 0.8038 0.836 0.000 0.144 0.020 0.000
#> A92C23A9-BC25-4025-9501-6D5FF8E2A502 1 0.3320 0.7840 0.828 0.008 0.152 0.012 0.000
#> ECE9BBF4-840E-47A6-8378-0B6C4A2369D3 1 0.1041 0.8622 0.964 0.000 0.032 0.004 0.000
#> 38749490-0FCF-4B33-9EBC-8F86C2D9E4AF 1 0.5043 0.4551 0.600 0.000 0.044 0.000 0.356
#> 02ABB64E-768B-4999-A899-EEE573D5F186 3 0.3086 0.7290 0.180 0.000 0.816 0.004 0.000
#> C1C467A8-18B1-4C3F-AC45-33359ED6FDC4 1 0.2723 0.8204 0.864 0.012 0.124 0.000 0.000
#> 78B2E4A1-9DAE-404F-AB47-1896450EF254 3 0.2674 0.7684 0.012 0.000 0.868 0.120 0.000
#> CCDB0290-91DA-4089-84A6-4434BA028D30 5 0.0609 0.8491 0.000 0.000 0.000 0.020 0.980
#> D5041E80-20A0-4C1A-9AC1-2394F6DB6E92 1 0.1043 0.8604 0.960 0.000 0.040 0.000 0.000
#> 20EB9CC6-EABB-438A-9030-E766459996D1 2 0.0404 0.8844 0.000 0.988 0.000 0.012 0.000
#> 73E99110-9A7C-4F73-98C5-79D22CB06230 1 0.1608 0.8527 0.928 0.000 0.072 0.000 0.000
#> FAD8A464-9BC3-4ED9-9517-B18D36514325 4 0.3007 0.7999 0.028 0.004 0.104 0.864 0.000
#> 9AF0E82E-E621-437A-8D19-700532B95090 1 0.2852 0.7691 0.828 0.000 0.000 0.172 0.000
#> 27DA48F3-4FC1-41A3-8E49-5B25F1CCFF07 1 0.4074 0.4744 0.636 0.000 0.364 0.000 0.000
#> EFE5A302-D138-4044-A301-5C5FD1C24836 1 0.1792 0.8460 0.916 0.000 0.084 0.000 0.000
#> D3E866AC-D66A-4C07-9F47-89AF460320DE 2 0.0000 0.8846 0.000 1.000 0.000 0.000 0.000
#> 89C45456-9392-4EB3-9A82-A130B6702AAF 4 0.3146 0.7777 0.028 0.000 0.128 0.844 0.000
#> 8FF5C8FC-2565-49BE-9EE0-91A84A85AB2A 5 0.1732 0.8165 0.000 0.080 0.000 0.000 0.920
#> 846DF088-75D5-49CF-BDDC-27E735A08DCA 4 0.0613 0.8097 0.004 0.004 0.008 0.984 0.000
#> EA3A19E1-7ADE-47B6-A35A-71290967147A 4 0.1243 0.8111 0.004 0.028 0.008 0.960 0.000
#> B2C43D0C-732B-4C54-938F-D3C9FDA880DA 3 0.6410 0.1579 0.184 0.000 0.476 0.000 0.340
#> EEC856B5-9B7F-488D-975E-CE2FF7072879 3 0.1704 0.7981 0.004 0.000 0.928 0.068 0.000
#> 8A68C417-09CC-4FA1-BFEB-EB4B738853A4 1 0.0324 0.8576 0.992 0.000 0.004 0.004 0.000
#> C5DF1A0D-952C-44E2-BF83-ED57177EF60E 1 0.0162 0.8577 0.996 0.000 0.004 0.000 0.000
#> B5C9EA22-F758-4BD2-BD1F-282EC1078AED 4 0.2278 0.8165 0.008 0.032 0.044 0.916 0.000
#> 3F08AE92-3EFD-4D7F-8C5C-BFB3621F0CD6 1 0.0880 0.8609 0.968 0.000 0.032 0.000 0.000
#> 8F0D43F1-2199-4DBB-9B16-1E5F2CED2FEC 4 0.7270 0.1474 0.020 0.284 0.336 0.360 0.000
#> 54BABD8B-EA9F-4875-8594-2179B38C73BD 3 0.1872 0.8124 0.020 0.000 0.928 0.052 0.000
#> C149B6F8-03DC-4907-920A-F3318B8D2A1E 5 0.0000 0.8538 0.000 0.000 0.000 0.000 1.000
#> F93D26E2-4B45-495D-BC8E-5B592F8FDABF 3 0.3857 0.4715 0.000 0.000 0.688 0.312 0.000
#> C98275CD-C39A-4E14-A731-4F3EB7396665 4 0.2897 0.8120 0.052 0.040 0.020 0.888 0.000
#> 354DC705-216E-42F0-B29E-C1F8D6C9489A 4 0.0404 0.8079 0.012 0.000 0.000 0.988 0.000
#> 6752EED9-7990-433F-A206-D5398C396471 5 0.0000 0.8538 0.000 0.000 0.000 0.000 1.000
#> C3E94C5D-68C4-400C-B7CB-38C42E9D5FFF 4 0.1074 0.8126 0.012 0.004 0.016 0.968 0.000
#> CE6B6871-3ED3-44DE-A777-7558D4429057 3 0.0703 0.8176 0.024 0.000 0.976 0.000 0.000
#> A06E7D1E-E432-4A4C-8BB0-314304F96EDF 4 0.2411 0.7984 0.008 0.000 0.108 0.884 0.000
#> 1ABBEF80-508F-4247-B43D-3E549372113B 4 0.4528 0.1198 0.008 0.000 0.000 0.548 0.444
#> 835AAE7F-F873-4D11-8845-232D261A38DF 1 0.3690 0.7187 0.764 0.000 0.224 0.000 0.012
#> E98A0460-6529-4DBA-8542-1B98801D7A7D 1 0.0404 0.8595 0.988 0.000 0.012 0.000 0.000
#> 06A9CBF8-01D0-4720-BCE8-83F0E77C862F 1 0.4126 0.4350 0.620 0.000 0.000 0.000 0.380
#> 206865A9-A67C-49A6-93AD-55D06E777559 2 0.0000 0.8846 0.000 1.000 0.000 0.000 0.000
#> 26DABC83-DB30-452F-9BE2-366760CB138E 2 0.0000 0.8846 0.000 1.000 0.000 0.000 0.000
#> 9DD5272A-2D6E-4774-83E3-0CD761EDE926 3 0.0854 0.8139 0.012 0.000 0.976 0.004 0.008
#> 4938E366-C740-4C9C-9358-FF37997DC9EF 4 0.5470 0.5205 0.092 0.000 0.296 0.612 0.000
#> E2DA59C4-A47C-41E3-BC55-2D00C6EC17FB 4 0.3612 0.5692 0.268 0.000 0.000 0.732 0.000
#> 37349E62-0BFB-4FEA-81D0-2AB7E7625B0D 1 0.1732 0.8367 0.920 0.000 0.000 0.080 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 7826AE44-B03A-4528-9CB5-7421E592AE36 5 0.3868 -0.22278 0.000 0.000 0.000 0.492 0.508 0.000
#> 0DC2197B-2FEA-48EB-953E-8E44E1933757 3 0.4191 0.29396 0.004 0.000 0.596 0.012 0.000 0.388
#> 87ABB098-8C1E-4677-8C31-48B71EFE41C7 5 0.2884 0.59204 0.000 0.000 0.008 0.164 0.824 0.004
#> EC0154E7-7A27-4535-83AE-6B379E99A93C 1 0.6049 0.20794 0.468 0.000 0.012 0.340 0.180 0.000
#> 78F79407-D49F-4FA2-B09F-0665C502827C 1 0.1059 0.80979 0.964 0.000 0.016 0.004 0.016 0.000
#> 03E81178-E971-4E91-8BED-D8273EA1425C 1 0.1524 0.80036 0.932 0.000 0.000 0.008 0.060 0.000
#> 62FCAEFF-16D8-4019-84B6-18EC3A88BC32 3 0.4941 0.53213 0.008 0.032 0.624 0.316 0.020 0.000
#> 722C1284-5983-4CC1-B19C-214C2DE6F8A6 2 0.0363 0.86366 0.000 0.988 0.000 0.012 0.000 0.000
#> 54E42A64-B350-4A94-8FED-C9BC1872660E 5 0.4227 0.32631 0.004 0.000 0.344 0.020 0.632 0.000
#> 53062969-D209-490B-9C9B-5D297625E2AE 1 0.0508 0.80712 0.984 0.000 0.000 0.012 0.004 0.000
#> B710293C-41D3-4A2E-8104-5402F91DD859 1 0.1080 0.80705 0.960 0.000 0.032 0.004 0.004 0.000
#> 73CB1D05-7AE4-457D-B4EF-25AC5C1F2132 4 0.4328 -0.10005 0.460 0.000 0.020 0.520 0.000 0.000
#> B055A70B-3003-47CB-BDAA-6378C000BF24 3 0.0508 0.73317 0.000 0.000 0.984 0.012 0.004 0.000
#> 46C3A870-E37A-42CB-8C0C-6ACACEAC1ADC 5 0.3328 0.50383 0.000 0.192 0.008 0.012 0.788 0.000
#> E8E6270E-F26D-4F2E-A63E-7885BDE05FDB 6 0.1082 0.82397 0.040 0.000 0.000 0.004 0.000 0.956
#> C4A5EBA2-9091-4D12-BDC8-B84B122022B9 3 0.0820 0.73891 0.016 0.000 0.972 0.012 0.000 0.000
#> 5B1839C4-549D-41D1-B559-3C6D2A1528CE 3 0.1890 0.74096 0.024 0.000 0.924 0.044 0.000 0.008
#> A0DF05EB-DC44-4492-9A8A-F278F7B0C266 5 0.4032 0.22082 0.420 0.000 0.000 0.008 0.572 0.000
#> B5182F49-70F2-45B7-82DE-C6DA68145EEA 1 0.3706 0.68941 0.780 0.000 0.000 0.008 0.172 0.040
#> C204D355-B876-4341-A111-36D48CBDD2A8 3 0.4593 0.56943 0.004 0.000 0.704 0.112 0.180 0.000
#> 7B070AAA-EF97-4D3B-AA19-EEC170C7927D 2 0.0000 0.86575 0.000 1.000 0.000 0.000 0.000 0.000
#> 05A8A881-F8EE-48A2-B11C-A08D7D80CE18 1 0.1592 0.80332 0.940 0.000 0.032 0.008 0.020 0.000
#> BA59EF50-CFE9-456D-B1B6-67D0945004F6 1 0.4181 0.59946 0.700 0.000 0.000 0.248 0.052 0.000
#> AD97B334-E034-4D33-A4D5-48C32D5D521C 1 0.0436 0.80704 0.988 0.000 0.004 0.004 0.004 0.000
#> 51DA2568-32EA-4668-9876-4B6E7CA68860 3 0.1088 0.72440 0.000 0.000 0.960 0.024 0.016 0.000
#> 78C26A05-2084-494D-83D3-C52C1B800F4C 1 0.1881 0.79897 0.928 0.000 0.008 0.020 0.040 0.004
#> 2B5DD791-7692-4721-9519-7D7D49B52570 3 0.3156 0.69124 0.020 0.000 0.800 0.180 0.000 0.000
#> C0BBE26A-79C8-4392-9978-7C420B3786B5 3 0.3341 0.64620 0.208 0.000 0.776 0.012 0.004 0.000
#> F35A8359-3A7A-414F-8A5C-D278F3B45387 2 0.0000 0.86575 0.000 1.000 0.000 0.000 0.000 0.000
#> 8C9BA49C-1270-491D-A234-AE1B1C0609BA 5 0.2531 0.57703 0.004 0.128 0.000 0.008 0.860 0.000
#> CA104B57-B160-4148-8A0A-D34BB3E8D88A 5 0.4631 0.33269 0.352 0.000 0.000 0.052 0.596 0.000
#> 877E18A5-6A7A-4E29-9871-DC7EA14A5F27 3 0.4919 0.37280 0.024 0.000 0.616 0.040 0.320 0.000
#> 904EDF2E-411E-43BD-901D-46129AFA283A 4 0.6816 0.00844 0.360 0.000 0.056 0.380 0.204 0.000
#> FD9F5A9B-2BEB-4D31-9A2D-8D4B4ECBB478 1 0.3725 0.48576 0.676 0.000 0.316 0.008 0.000 0.000
#> 2E206314-9928-456E-B7C6-893DC0E3C7C2 2 0.5465 0.38849 0.020 0.544 0.080 0.356 0.000 0.000
#> 913DB655-2C7F-4369-83DE-9257F04CF39B 5 0.5851 0.33194 0.032 0.004 0.080 0.384 0.500 0.000
#> 72B5B724-FEB5-43BD-83F6-2E2152DDD800 5 0.1821 0.60952 0.008 0.000 0.040 0.024 0.928 0.000
#> 920B547C-6898-446C-AAAF-F4ED96E40AAB 2 0.0000 0.86575 0.000 1.000 0.000 0.000 0.000 0.000
#> 847F796A-8CD6-4013-A0FB-26F4FC3EAF0D 1 0.1578 0.79937 0.936 0.000 0.012 0.048 0.004 0.000
#> C4D64E7A-33F7-4CFC-9FD3-D6AA3D8EFAA7 1 0.0982 0.80929 0.968 0.000 0.004 0.020 0.004 0.004
#> EABA0B17-8E19-48C5-BF62-2A45C9632807 2 0.6544 0.25622 0.000 0.500 0.072 0.144 0.284 0.000
#> 7263CBA8-CE37-4531-A795-9324C6D2A672 3 0.1391 0.73434 0.000 0.000 0.944 0.040 0.016 0.000
#> 6D3CC3AC-618B-414A-B640-169C735A6568 3 0.2762 0.60963 0.000 0.000 0.804 0.196 0.000 0.000
#> 710C05C7-F9CE-45FA-A8CC-29DE2903E04F 4 0.3314 0.37206 0.224 0.000 0.000 0.764 0.012 0.000
#> 3D631A56-2C55-48EA-A667-BA46023C9D50 3 0.0914 0.73418 0.016 0.000 0.968 0.016 0.000 0.000
#> F1C65F64-AF05-4875-B7E4-60FFF56A3F46 1 0.1983 0.79318 0.916 0.000 0.060 0.012 0.012 0.000
#> E5DF76E7-A765-4E07-B87A-06168BF66C5F 1 0.2209 0.78980 0.900 0.000 0.024 0.004 0.072 0.000
#> 5C8C8A6E-40D4-4F82-AC3D-90CFDEE15C0A 2 0.0000 0.86575 0.000 1.000 0.000 0.000 0.000 0.000
#> 0117CBB9-1BF9-48B1-BE6E-A9A770FF8721 3 0.3572 0.61345 0.000 0.000 0.764 0.032 0.204 0.000
#> 31EF66E5-419A-44C3-BB2A-B69B52FFCECC 4 0.6096 0.35619 0.000 0.312 0.008 0.460 0.220 0.000
#> C149CEF5-61F3-4B53-B8A9-8244B673EBD0 1 0.0508 0.80731 0.984 0.000 0.012 0.004 0.000 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
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