Date: 2019-12-26 01:33:34 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 17604 rows and 183 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] 17604 183
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 | ||
|---|---|---|---|---|---|---|
| MAD:mclust | 2 | 1.000 | 0.991 | 0.995 | ** | |
| ATC:skmeans | 2 | 1.000 | 0.966 | 0.986 | ** | |
| ATC:mclust | 2 | 1.000 | 0.988 | 0.996 | ** | |
| SD:mclust | 2 | 1.000 | 0.980 | 0.989 | ** | |
| ATC:pam | 5 | 0.968 | 0.924 | 0.972 | ** | 4 |
| MAD:skmeans | 2 | 0.965 | 0.948 | 0.978 | ** | |
| ATC:kmeans | 2 | 0.955 | 0.951 | 0.979 | ** | |
| SD:skmeans | 2 | 0.954 | 0.936 | 0.974 | ** | |
| ATC:NMF | 2 | 0.921 | 0.929 | 0.971 | * | |
| MAD:NMF | 2 | 0.870 | 0.916 | 0.965 | ||
| CV:NMF | 2 | 0.858 | 0.907 | 0.962 | ||
| CV:kmeans | 2 | 0.826 | 0.891 | 0.940 | ||
| SD:NMF | 2 | 0.799 | 0.899 | 0.956 | ||
| MAD:kmeans | 3 | 0.707 | 0.825 | 0.906 | ||
| CV:skmeans | 2 | 0.706 | 0.861 | 0.941 | ||
| SD:kmeans | 3 | 0.678 | 0.803 | 0.898 | ||
| MAD:pam | 2 | 0.496 | 0.848 | 0.901 | ||
| SD:pam | 2 | 0.420 | 0.787 | 0.865 | ||
| MAD:hclust | 3 | 0.336 | 0.715 | 0.842 | ||
| CV:pam | 2 | 0.322 | 0.534 | 0.768 | ||
| CV:hclust | 4 | 0.302 | 0.618 | 0.771 | ||
| ATC:hclust | 2 | 0.299 | 0.753 | 0.862 | ||
| CV:mclust | 3 | 0.286 | 0.597 | 0.738 | ||
| SD:hclust | 3 | 0.273 | 0.636 | 0.796 |
**: 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 0.799 0.899 0.956 0.494 0.502 0.502
#> CV:NMF 2 0.858 0.907 0.962 0.493 0.507 0.507
#> MAD:NMF 2 0.870 0.916 0.965 0.500 0.498 0.498
#> ATC:NMF 2 0.921 0.929 0.971 0.484 0.514 0.514
#> SD:skmeans 2 0.954 0.936 0.974 0.501 0.500 0.500
#> CV:skmeans 2 0.706 0.861 0.941 0.500 0.501 0.501
#> MAD:skmeans 2 0.965 0.948 0.978 0.502 0.498 0.498
#> ATC:skmeans 2 1.000 0.966 0.986 0.503 0.497 0.497
#> SD:mclust 2 1.000 0.980 0.989 0.206 0.787 0.787
#> CV:mclust 2 0.715 0.806 0.919 0.247 0.771 0.771
#> MAD:mclust 2 1.000 0.991 0.995 0.206 0.787 0.787
#> ATC:mclust 2 1.000 0.988 0.996 0.131 0.867 0.867
#> SD:kmeans 2 0.376 0.847 0.887 0.441 0.507 0.507
#> CV:kmeans 2 0.826 0.891 0.940 0.433 0.536 0.536
#> MAD:kmeans 2 0.366 0.854 0.898 0.453 0.505 0.505
#> ATC:kmeans 2 0.955 0.951 0.979 0.497 0.505 0.505
#> SD:pam 2 0.420 0.787 0.865 0.426 0.573 0.573
#> CV:pam 2 0.322 0.534 0.768 0.456 0.569 0.569
#> MAD:pam 2 0.496 0.848 0.901 0.397 0.596 0.596
#> ATC:pam 2 0.436 0.876 0.882 0.474 0.497 0.497
#> SD:hclust 2 0.221 0.434 0.737 0.302 0.739 0.739
#> CV:hclust 2 0.333 0.657 0.843 0.318 0.732 0.732
#> MAD:hclust 2 0.219 0.694 0.803 0.371 0.606 0.606
#> ATC:hclust 2 0.299 0.753 0.862 0.453 0.502 0.502
get_stats(res_list, k = 3)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 3 0.818 0.875 0.944 0.2247 0.837 0.694
#> CV:NMF 3 0.639 0.764 0.873 0.2374 0.812 0.651
#> MAD:NMF 3 0.836 0.884 0.948 0.2084 0.864 0.737
#> ATC:NMF 3 0.676 0.793 0.901 0.2798 0.647 0.429
#> SD:skmeans 3 0.684 0.837 0.880 0.2654 0.808 0.640
#> CV:skmeans 3 0.535 0.616 0.818 0.2817 0.821 0.661
#> MAD:skmeans 3 0.860 0.890 0.933 0.2551 0.828 0.672
#> ATC:skmeans 3 0.815 0.813 0.921 0.2564 0.855 0.718
#> SD:mclust 3 0.337 0.694 0.784 1.4801 0.614 0.510
#> CV:mclust 3 0.286 0.597 0.738 1.2186 0.542 0.422
#> MAD:mclust 3 0.343 0.753 0.833 1.6277 0.617 0.514
#> ATC:mclust 3 0.530 0.771 0.896 2.9055 0.550 0.499
#> SD:kmeans 3 0.678 0.803 0.898 0.3254 0.836 0.700
#> CV:kmeans 3 0.444 0.687 0.829 0.3174 0.847 0.734
#> MAD:kmeans 3 0.707 0.825 0.906 0.2977 0.854 0.728
#> ATC:kmeans 3 0.513 0.671 0.784 0.2751 0.707 0.481
#> SD:pam 3 0.510 0.846 0.891 0.0697 0.897 0.832
#> CV:pam 3 0.336 0.364 0.654 0.3858 0.740 0.568
#> MAD:pam 3 0.538 0.868 0.914 0.1883 0.942 0.904
#> ATC:pam 3 0.731 0.878 0.888 0.3217 0.731 0.524
#> SD:hclust 3 0.273 0.636 0.796 0.6599 0.542 0.446
#> CV:hclust 3 0.376 0.623 0.826 0.3371 0.757 0.683
#> MAD:hclust 3 0.336 0.715 0.842 0.3960 0.772 0.646
#> ATC:hclust 3 0.307 0.445 0.628 0.2290 0.740 0.526
get_stats(res_list, k = 4)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 4 0.586 0.675 0.747 0.1611 0.761 0.488
#> CV:NMF 4 0.655 0.726 0.837 0.1347 0.852 0.648
#> MAD:NMF 4 0.579 0.699 0.815 0.1712 0.786 0.524
#> ATC:NMF 4 0.808 0.839 0.932 0.1166 0.821 0.576
#> SD:skmeans 4 0.867 0.854 0.925 0.1596 0.809 0.539
#> CV:skmeans 4 0.560 0.594 0.770 0.1504 0.770 0.464
#> MAD:skmeans 4 0.808 0.856 0.922 0.1608 0.805 0.533
#> ATC:skmeans 4 0.653 0.690 0.816 0.1382 0.789 0.509
#> SD:mclust 4 0.383 0.677 0.791 0.1309 0.778 0.587
#> CV:mclust 4 0.279 0.627 0.733 0.1483 0.841 0.631
#> MAD:mclust 4 0.332 0.624 0.783 0.0742 0.804 0.627
#> ATC:mclust 4 0.584 0.680 0.828 0.0798 0.593 0.386
#> SD:kmeans 4 0.591 0.747 0.852 0.1933 0.749 0.481
#> CV:kmeans 4 0.492 0.514 0.730 0.2007 0.744 0.498
#> MAD:kmeans 4 0.588 0.719 0.792 0.1936 0.756 0.491
#> ATC:kmeans 4 0.583 0.698 0.800 0.1119 0.759 0.437
#> SD:pam 4 0.558 0.696 0.870 0.3782 0.798 0.639
#> CV:pam 4 0.439 0.466 0.732 0.0781 0.763 0.494
#> MAD:pam 4 0.552 0.781 0.889 0.3605 0.795 0.627
#> ATC:pam 4 0.938 0.904 0.950 0.1291 0.925 0.794
#> SD:hclust 4 0.350 0.581 0.790 0.2075 0.805 0.651
#> CV:hclust 4 0.302 0.618 0.771 0.3556 0.818 0.690
#> MAD:hclust 4 0.378 0.578 0.793 0.1997 0.864 0.739
#> ATC:hclust 4 0.386 0.676 0.791 0.1018 0.784 0.520
get_stats(res_list, k = 5)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 5 0.682 0.739 0.833 0.0858 0.887 0.650
#> CV:NMF 5 0.886 0.854 0.939 0.1390 0.813 0.472
#> MAD:NMF 5 0.622 0.718 0.801 0.0753 0.923 0.746
#> ATC:NMF 5 0.648 0.658 0.831 0.1106 0.809 0.464
#> SD:skmeans 5 0.740 0.581 0.797 0.0718 0.862 0.543
#> CV:skmeans 5 0.779 0.772 0.882 0.0691 0.926 0.722
#> MAD:skmeans 5 0.729 0.622 0.789 0.0769 0.900 0.658
#> ATC:skmeans 5 0.665 0.633 0.726 0.0605 0.896 0.646
#> SD:mclust 5 0.382 0.545 0.752 0.1613 0.847 0.673
#> CV:mclust 5 0.449 0.547 0.738 0.1566 0.796 0.487
#> MAD:mclust 5 0.323 0.416 0.700 0.1658 0.855 0.686
#> ATC:mclust 5 0.578 0.666 0.838 0.1660 0.845 0.688
#> SD:kmeans 5 0.578 0.565 0.753 0.0917 0.841 0.538
#> CV:kmeans 5 0.567 0.640 0.799 0.1050 0.830 0.519
#> MAD:kmeans 5 0.548 0.517 0.698 0.0881 0.830 0.520
#> ATC:kmeans 5 0.748 0.744 0.855 0.0602 0.916 0.733
#> SD:pam 5 0.488 0.609 0.787 0.1414 0.857 0.636
#> CV:pam 5 0.541 0.359 0.663 0.1057 0.733 0.350
#> MAD:pam 5 0.579 0.741 0.855 0.1151 0.894 0.707
#> ATC:pam 5 0.968 0.924 0.972 0.0427 0.972 0.906
#> SD:hclust 5 0.389 0.530 0.728 0.0858 0.953 0.898
#> CV:hclust 5 0.357 0.594 0.752 0.1250 0.900 0.782
#> MAD:hclust 5 0.424 0.529 0.762 0.0670 0.898 0.776
#> ATC:hclust 5 0.448 0.662 0.806 0.1250 0.903 0.741
get_stats(res_list, k = 6)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 6 0.747 0.604 0.789 0.0597 0.891 0.609
#> CV:NMF 6 0.775 0.708 0.854 0.0451 0.911 0.627
#> MAD:NMF 6 0.748 0.645 0.829 0.0596 0.864 0.524
#> ATC:NMF 6 0.585 0.429 0.702 0.0482 0.955 0.814
#> SD:skmeans 6 0.794 0.688 0.852 0.0526 0.894 0.557
#> CV:skmeans 6 0.743 0.732 0.821 0.0390 0.955 0.793
#> MAD:skmeans 6 0.764 0.636 0.810 0.0532 0.887 0.549
#> ATC:skmeans 6 0.801 0.757 0.877 0.0513 0.936 0.730
#> SD:mclust 6 0.531 0.496 0.732 0.1406 0.784 0.421
#> CV:mclust 6 0.534 0.566 0.719 0.0559 0.951 0.819
#> MAD:mclust 6 0.517 0.495 0.724 0.1367 0.761 0.375
#> ATC:mclust 6 0.746 0.733 0.865 0.1309 0.868 0.678
#> SD:kmeans 6 0.588 0.534 0.723 0.0497 0.837 0.437
#> CV:kmeans 6 0.599 0.552 0.729 0.0500 0.928 0.715
#> MAD:kmeans 6 0.606 0.547 0.733 0.0543 0.852 0.490
#> ATC:kmeans 6 0.740 0.741 0.825 0.0548 0.925 0.726
#> SD:pam 6 0.626 0.720 0.824 0.0728 0.947 0.813
#> CV:pam 6 0.591 0.416 0.690 0.0438 0.895 0.616
#> MAD:pam 6 0.660 0.779 0.878 0.0565 0.946 0.811
#> ATC:pam 6 0.892 0.892 0.947 0.0605 0.946 0.800
#> SD:hclust 6 0.414 0.513 0.741 0.0364 0.949 0.879
#> CV:hclust 6 0.412 0.503 0.719 0.0854 0.941 0.848
#> MAD:hclust 6 0.454 0.505 0.716 0.0547 0.890 0.735
#> ATC:hclust 6 0.529 0.608 0.764 0.0777 0.930 0.773
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 17604 rows and 183 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 0.221 0.434 0.737 0.3024 0.739 0.739
#> 3 3 0.273 0.636 0.796 0.6599 0.542 0.446
#> 4 4 0.350 0.581 0.790 0.2075 0.805 0.651
#> 5 5 0.389 0.530 0.728 0.0858 0.953 0.898
#> 6 6 0.414 0.513 0.741 0.0364 0.949 0.879
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 1 0.0376 0.56143 0.996 0.004
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.8499 0.57686 0.724 0.276
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.8386 0.58168 0.732 0.268
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 1 0.0376 0.56143 0.996 0.004
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.5059 0.59494 0.888 0.112
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 1 0.4939 0.59439 0.892 0.108
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 1 0.0376 0.56143 0.996 0.004
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.8499 0.57686 0.724 0.276
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.9661 0.44310 0.608 0.392
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.8909 0.55211 0.692 0.308
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.9944 0.27436 0.544 0.456
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.2236 0.48311 0.036 0.964
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 2 0.9087 0.35696 0.324 0.676
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 2 0.9087 0.35696 0.324 0.676
#> 785376B4-CBAE-4014-B08C-58A42A88583B 2 0.9983 0.03028 0.476 0.524
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 1 0.0672 0.56721 0.992 0.008
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 1 0.0938 0.55322 0.988 0.012
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.9686 0.43805 0.604 0.396
#> 851B9B77-547A-43CC-B939-428E0A26C67C 1 0.7883 0.59175 0.764 0.236
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 1 0.1184 0.56724 0.984 0.016
#> B56D29F2-ADF4-43B9-9013-071466244B4A 1 0.5294 0.59105 0.880 0.120
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.2236 0.48311 0.036 0.964
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.9977 0.21669 0.528 0.472
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.9460 0.47749 0.636 0.364
#> 482285EC-BA43-441D-9986-7937B61A81D1 1 0.0376 0.56143 0.996 0.004
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.9815 0.38447 0.580 0.420
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 1 0.0376 0.56143 0.996 0.004
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.5629 0.59687 0.868 0.132
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.2236 0.48311 0.036 0.964
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.9954 0.25958 0.540 0.460
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.2236 0.48311 0.036 0.964
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.9661 0.44787 0.608 0.392
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.8608 0.55023 0.716 0.284
#> AA838488-4A13-4998-B261-91590113F37D 1 0.9998 0.12154 0.508 0.492
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.9323 0.50493 0.652 0.348
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 1 0.8386 0.58168 0.732 0.268
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.9977 0.21487 0.528 0.472
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.9580 0.46204 0.620 0.380
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.8327 0.58288 0.736 0.264
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.6343 0.59659 0.840 0.160
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.9393 0.23401 0.644 0.356
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 1 0.7883 0.59175 0.764 0.236
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.9795 0.39835 0.584 0.416
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.9970 0.23111 0.532 0.468
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 1 0.2778 0.57859 0.952 0.048
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 1 0.0376 0.56143 0.996 0.004
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.9850 0.34105 0.572 0.428
#> 081452CB-9401-4678-9BA2-431CB2ECF105 1 0.0376 0.56143 0.996 0.004
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.7602 0.59451 0.780 0.220
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.9933 0.29831 0.548 0.452
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 1 0.8386 0.58224 0.732 0.268
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.6148 0.59291 0.848 0.152
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.9732 0.41973 0.596 0.404
#> EFA708D5-586A-4184-B614-48AEFC5E8631 1 0.9754 0.10755 0.592 0.408
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 1 0.0376 0.56143 0.996 0.004
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.9833 0.34892 0.576 0.424
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 1 0.4815 0.58937 0.896 0.104
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.9977 0.21487 0.528 0.472
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 1 0.0376 0.56143 0.996 0.004
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 1 0.0376 0.56143 0.996 0.004
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 1 0.0376 0.56143 0.996 0.004
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.9522 0.47286 0.628 0.372
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 1 0.1633 0.56653 0.976 0.024
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.9833 0.38083 0.576 0.424
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.9815 0.38654 0.580 0.420
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 2 0.9983 0.03028 0.476 0.524
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.5059 0.59494 0.888 0.112
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.8443 0.57947 0.728 0.272
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 1 0.0376 0.56143 0.996 0.004
#> 15532795-F8EC-4460-9972-82EC355E3B06 1 0.0376 0.56143 0.996 0.004
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.9896 0.32838 0.560 0.440
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 1 0.7745 0.44403 0.772 0.228
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.9977 0.21277 0.528 0.472
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.2236 0.48311 0.036 0.964
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.9661 0.44355 0.608 0.392
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.9988 0.17761 0.520 0.480
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 1 0.8386 0.58224 0.732 0.268
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.9087 0.53624 0.676 0.324
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.9393 0.49798 0.644 0.356
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.9686 0.43944 0.604 0.396
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 2 0.9087 0.35696 0.324 0.676
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.9635 0.45192 0.612 0.388
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.2236 0.48311 0.036 0.964
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.9491 0.47150 0.632 0.368
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 1 0.0376 0.56143 0.996 0.004
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.9866 0.33060 0.568 0.432
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 1 0.8144 0.58655 0.748 0.252
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 1 0.0376 0.56143 0.996 0.004
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.9522 0.47286 0.628 0.372
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 1 0.9754 0.10755 0.592 0.408
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 1 0.0376 0.56470 0.996 0.004
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 1 0.0376 0.56143 0.996 0.004
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.9850 0.36322 0.572 0.428
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 1 0.0938 0.55322 0.988 0.012
#> F7B2E263-F0AE-440E-96C5-139233079A06 1 0.0376 0.56143 0.996 0.004
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.7139 0.59931 0.804 0.196
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.8608 0.55023 0.716 0.284
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 1 0.0376 0.56143 0.996 0.004
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 2 0.9983 0.03028 0.476 0.524
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.9833 0.37370 0.576 0.424
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 2 0.2236 0.48311 0.036 0.964
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 2 0.9983 0.03028 0.476 0.524
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.9922 0.31076 0.552 0.448
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 1 0.5294 0.59105 0.880 0.120
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 1 0.7299 0.26542 0.796 0.204
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.7674 0.59453 0.776 0.224
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 1 0.0376 0.56143 0.996 0.004
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.9661 0.44310 0.608 0.392
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 1 0.0376 0.56143 0.996 0.004
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 2 0.9983 0.03028 0.476 0.524
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 2 0.9988 0.00602 0.480 0.520
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.9922 0.30273 0.552 0.448
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 1 0.5408 0.58946 0.876 0.124
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 1 0.1414 0.56502 0.980 0.020
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.9686 0.43805 0.604 0.396
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.9850 0.36322 0.572 0.428
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 1 0.1414 0.56502 0.980 0.020
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.9922 0.30864 0.552 0.448
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.9922 0.30864 0.552 0.448
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.9922 0.31070 0.552 0.448
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 1 0.0376 0.56143 0.996 0.004
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.9963 0.25142 0.536 0.464
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 2 0.9580 0.27777 0.380 0.620
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.8555 0.57573 0.720 0.280
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.8443 0.57947 0.728 0.272
#> 57787823-A815-4783-930C-A5752E48FFBA 1 0.7139 0.59854 0.804 0.196
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.9970 0.23111 0.532 0.468
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 1 0.9248 0.26589 0.660 0.340
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.9686 0.43489 0.604 0.396
#> 08C4C14A-94A8-4063-BBC3-916579960078 1 0.7299 0.26542 0.796 0.204
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.9970 0.23111 0.532 0.468
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 1 0.4815 0.59407 0.896 0.104
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 1 0.4939 0.59016 0.892 0.108
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.8443 0.57978 0.728 0.272
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.9909 0.31566 0.556 0.444
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.8608 0.55023 0.716 0.284
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.9491 0.47150 0.632 0.368
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.8443 0.57978 0.728 0.272
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.9686 0.43734 0.604 0.396
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 1 0.0672 0.56314 0.992 0.008
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 1 0.0376 0.56143 0.996 0.004
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 1 0.1184 0.56820 0.984 0.016
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.8386 0.58168 0.732 0.268
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 2 0.9983 0.03028 0.476 0.524
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 2 0.9983 0.03028 0.476 0.524
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.9996 0.13827 0.512 0.488
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.9977 0.21487 0.528 0.472
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.9998 0.12120 0.508 0.492
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 1 0.0376 0.56143 0.996 0.004
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.2236 0.48311 0.036 0.964
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 1 0.8386 0.58168 0.732 0.268
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 2 0.9983 0.03028 0.476 0.524
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 1 0.0938 0.56714 0.988 0.012
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.9896 0.32838 0.560 0.440
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.9686 0.43810 0.604 0.396
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 1 0.1184 0.56820 0.984 0.016
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.2236 0.48311 0.036 0.964
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.9754 0.10755 0.592 0.408
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 1 0.0376 0.56143 0.996 0.004
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.5059 0.59494 0.888 0.112
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 2 0.9087 0.35696 0.324 0.676
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 1 0.8386 0.58224 0.732 0.268
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.9833 0.37370 0.576 0.424
#> EB818546-2380-480F-AA7A-529857F5912C 1 0.0376 0.56143 0.996 0.004
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 2 0.9988 0.00743 0.480 0.520
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.2236 0.48311 0.036 0.964
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 1 0.8144 0.58795 0.748 0.252
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.9248 0.51779 0.660 0.340
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 1 0.0376 0.56143 0.996 0.004
#> CC008807-7264-4593-966F-104992B35873 1 0.0938 0.56714 0.988 0.012
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 2 0.9996 -0.04177 0.488 0.512
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 2 0.9983 0.03028 0.476 0.524
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.9815 0.38447 0.580 0.420
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.8555 0.57573 0.720 0.280
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.9000 0.52323 0.684 0.316
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.8327 0.58288 0.736 0.264
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 2 0.9580 0.27777 0.380 0.620
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 1 0.0376 0.56143 0.996 0.004
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.5737 0.59782 0.864 0.136
#> 67E92530-3B19-424C-B219-958A88909046 1 0.9944 0.27945 0.544 0.456
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.9850 0.34298 0.572 0.428
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.9635 0.45059 0.612 0.388
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.9909 0.31645 0.556 0.444
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.7745 0.000 1.000 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.6274 0.4641 0.544 0.456 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.6299 0.4129 0.524 0.476 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.7745 0.000 1.000 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.5138 0.5076 0.252 0.748 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.5216 0.5118 0.260 0.740 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.7745 0.000 1.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.6274 0.4641 0.544 0.456 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.5431 0.7462 0.716 0.284 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.6140 0.5827 0.596 0.404 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.4346 0.7832 0.816 0.184 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 1.0000 0.000 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.4605 0.4554 0.796 0.000 0.204
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.4605 0.4554 0.796 0.000 0.204
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0237 0.6784 0.996 0.000 0.004
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0747 0.7708 0.016 0.984 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.0424 0.7703 0.000 0.992 0.008
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.4887 0.7772 0.772 0.228 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.6244 -0.1263 0.440 0.560 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.1289 0.7657 0.032 0.968 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.5397 0.4909 0.280 0.720 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 1.0000 0.000 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.3879 0.7762 0.848 0.152 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.5988 0.6547 0.632 0.368 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.7745 0.000 1.000 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.4887 0.7780 0.772 0.228 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0000 0.7745 0.000 1.000 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 2 0.5327 0.4698 0.272 0.728 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 1.0000 0.000 0.000 1.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.4062 0.7787 0.836 0.164 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 1.0000 0.000 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.5138 0.7646 0.748 0.252 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 2 0.6305 -0.2753 0.484 0.516 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.2356 0.7326 0.928 0.072 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.5621 0.6999 0.692 0.308 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 1 0.6305 0.3913 0.516 0.484 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.3941 0.7764 0.844 0.156 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.5431 0.7458 0.716 0.284 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.6244 0.4986 0.560 0.440 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 2 0.5591 0.3907 0.304 0.696 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.8158 0.3852 0.080 0.556 0.364
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.6244 -0.1263 0.440 0.560 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.4750 0.7812 0.784 0.216 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.3879 0.7739 0.848 0.152 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.3340 0.6999 0.120 0.880 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.7745 0.000 1.000 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.5560 0.7105 0.700 0.300 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0000 0.7745 0.000 1.000 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 2 0.6267 -0.1745 0.452 0.548 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.4452 0.7827 0.808 0.192 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 1 0.6302 0.4000 0.520 0.480 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 2 0.5397 0.4784 0.280 0.720 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.5058 0.7693 0.756 0.244 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.6565 0.2855 0.008 0.576 0.416
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.7745 0.000 1.000 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.5591 0.7176 0.696 0.304 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.4931 0.5717 0.232 0.768 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.3941 0.7764 0.844 0.156 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.7745 0.000 1.000 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.7745 0.000 1.000 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0000 0.7745 0.000 1.000 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.5733 0.7111 0.676 0.324 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.1289 0.7656 0.032 0.968 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.4931 0.7726 0.768 0.232 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.4605 0.7826 0.796 0.204 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0237 0.6784 0.996 0.000 0.004
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.5138 0.5076 0.252 0.748 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.6295 0.4224 0.528 0.472 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0000 0.7745 0.000 1.000 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.7745 0.000 1.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.4796 0.7767 0.780 0.220 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.5378 0.5994 0.008 0.756 0.236
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.3551 0.7690 0.868 0.132 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 1.0000 0.000 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.5254 0.7617 0.736 0.264 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.3551 0.7679 0.868 0.132 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 1 0.6302 0.4000 0.520 0.480 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.5882 0.6688 0.652 0.348 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.5431 0.7426 0.716 0.284 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.5016 0.7729 0.760 0.240 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.4654 0.4472 0.792 0.000 0.208
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.5216 0.7633 0.740 0.260 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 1.0000 0.000 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.4399 0.6964 0.812 0.188 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0000 0.7745 0.000 1.000 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.5178 0.7586 0.744 0.256 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.6291 -0.2539 0.468 0.532 0.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0000 0.7745 0.000 1.000 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.5529 0.7378 0.704 0.296 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.6565 0.2855 0.008 0.576 0.416
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0424 0.7730 0.008 0.992 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.7745 0.000 1.000 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.4750 0.7799 0.784 0.216 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0424 0.7703 0.000 0.992 0.008
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0000 0.7745 0.000 1.000 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.6126 0.0578 0.400 0.600 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 2 0.6305 -0.2753 0.484 0.516 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.7745 0.000 1.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0237 0.6784 0.996 0.000 0.004
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.4796 0.7783 0.780 0.220 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 1.0000 0.000 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0237 0.6784 0.996 0.000 0.004
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.4121 0.7816 0.832 0.168 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.5397 0.4909 0.280 0.720 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.4796 0.5248 0.000 0.780 0.220
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.6260 -0.1632 0.448 0.552 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.7745 0.000 1.000 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.5327 0.7548 0.728 0.272 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.7745 0.000 1.000 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0237 0.6784 0.996 0.000 0.004
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0661 0.6851 0.988 0.008 0.004
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.4121 0.7805 0.832 0.168 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.5678 0.4244 0.316 0.684 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.1163 0.7671 0.028 0.972 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.4887 0.7772 0.772 0.228 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.4796 0.7787 0.780 0.220 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.1163 0.7671 0.028 0.972 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.3340 0.7592 0.880 0.120 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.3267 0.7567 0.884 0.116 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.4504 0.7812 0.804 0.196 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.7745 0.000 1.000 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.4178 0.7820 0.828 0.172 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.8703 0.5417 0.592 0.228 0.180
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.6286 0.4419 0.536 0.464 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.6295 0.4224 0.528 0.472 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.6154 0.0393 0.408 0.592 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.3879 0.7739 0.848 0.152 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.7150 0.4300 0.036 0.616 0.348
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.5254 0.7606 0.736 0.264 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.5024 0.5228 0.004 0.776 0.220
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.4002 0.7780 0.840 0.160 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.4796 0.5729 0.220 0.780 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.5098 0.5487 0.248 0.752 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.6295 0.4220 0.528 0.472 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.4452 0.7823 0.808 0.192 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 2 0.6305 -0.2753 0.484 0.516 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.4399 0.6964 0.812 0.188 0.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.6291 0.4287 0.532 0.468 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.5291 0.7582 0.732 0.268 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0424 0.7729 0.008 0.992 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.7745 0.000 1.000 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.1163 0.7662 0.028 0.972 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.6299 0.4111 0.524 0.476 0.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0237 0.6784 0.996 0.000 0.004
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0237 0.6784 0.996 0.000 0.004
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.2711 0.7379 0.912 0.088 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.3941 0.7764 0.844 0.156 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.3192 0.7553 0.888 0.112 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0237 0.7736 0.004 0.996 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 1.0000 0.000 0.000 1.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 1 0.6305 0.3913 0.516 0.484 0.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0237 0.6784 0.996 0.000 0.004
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.1964 0.7501 0.056 0.944 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.4654 0.7801 0.792 0.208 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.5529 0.7278 0.704 0.296 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.1163 0.7662 0.028 0.972 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 1.0000 0.000 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.6565 0.2855 0.008 0.576 0.416
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0000 0.7745 0.000 1.000 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.5138 0.5076 0.252 0.748 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.4605 0.4554 0.796 0.000 0.204
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 1 0.6302 0.4000 0.520 0.480 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.4796 0.7783 0.780 0.220 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0000 0.7745 0.000 1.000 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0475 0.6806 0.992 0.004 0.004
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 1.0000 0.000 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.6192 -0.0769 0.420 0.580 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.5785 0.6920 0.668 0.332 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.7745 0.000 1.000 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.1964 0.7501 0.056 0.944 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0592 0.6884 0.988 0.012 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0237 0.6784 0.996 0.000 0.004
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.4887 0.7780 0.772 0.228 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.6286 0.4419 0.536 0.464 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.6291 0.4167 0.532 0.468 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.6267 0.4762 0.548 0.452 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.8703 0.5417 0.592 0.228 0.180
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.7745 0.000 1.000 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.5497 0.4273 0.292 0.708 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.4121 0.7811 0.832 0.168 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.5178 0.7587 0.744 0.256 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.5216 0.7635 0.740 0.260 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.4654 0.7781 0.792 0.208 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.1059 0.8260 0.012 0.972 0.000 0.016
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.5072 0.5646 0.740 0.208 0.000 0.052
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.5184 0.5583 0.732 0.212 0.000 0.056
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.1059 0.8287 0.016 0.972 0.000 0.012
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.7282 0.0406 0.436 0.416 0.000 0.148
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.5923 0.2650 0.376 0.580 0.000 0.044
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.2522 0.7905 0.016 0.908 0.000 0.076
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#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.4761 0.1207 0.628 0.000 0.000 0.372
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.2197 0.6249 0.916 0.004 0.000 0.080
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.4939 0.5609 0.740 0.220 0.000 0.040
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.5932 0.4748 0.696 0.172 0.000 0.132
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.5067 0.5635 0.736 0.216 0.000 0.048
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 4 0.7460 0.6102 0.368 0.156 0.004 0.472
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.1059 0.8260 0.012 0.972 0.000 0.016
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.7242 0.1670 0.476 0.376 0.000 0.148
#> 67E92530-3B19-424C-B219-958A88909046 1 0.2530 0.5966 0.896 0.004 0.000 0.100
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.4827 0.5565 0.784 0.124 0.000 0.092
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.1820 0.6335 0.944 0.020 0.000 0.036
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.4203 0.5886 0.824 0.068 0.000 0.108
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.1357 0.7400 0.004 0.948 0.000 0.000 0.048
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.5641 0.3788 0.008 0.180 0.000 0.660 0.152
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.5759 0.3173 0.004 0.188 0.000 0.636 0.172
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.1357 0.7420 0.000 0.948 0.000 0.004 0.048
#> EB246839-8CB3-4B57-985E-DCEE23692361 5 0.6583 0.7818 0.000 0.256 0.000 0.276 0.468
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.5992 -0.0450 0.008 0.568 0.000 0.316 0.108
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.4505 0.5974 0.028 0.736 0.000 0.016 0.220
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.5641 0.3788 0.008 0.180 0.000 0.660 0.152
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.3585 0.5084 0.004 0.004 0.000 0.772 0.220
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.4922 0.4535 0.000 0.128 0.000 0.716 0.156
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.2972 0.6508 0.084 0.004 0.000 0.872 0.040
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.9572 0.000 0.000 1.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.2592 0.7632 0.892 0.000 0.000 0.056 0.052
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.2592 0.7632 0.892 0.000 0.000 0.056 0.052
#> 785376B4-CBAE-4014-B08C-58A42A88583B 4 0.4150 0.3754 0.388 0.000 0.000 0.612 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.1787 0.7363 0.016 0.940 0.000 0.012 0.032
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.5331 0.4265 0.044 0.584 0.000 0.008 0.364
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 4 0.3302 0.6387 0.044 0.020 0.000 0.864 0.072
#> 851B9B77-547A-43CC-B939-428E0A26C67C 4 0.6540 0.0589 0.016 0.368 0.000 0.484 0.132
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.1588 0.7307 0.008 0.948 0.000 0.028 0.016
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.5337 0.1460 0.016 0.616 0.000 0.328 0.040
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.9572 0.000 0.000 1.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 4 0.3681 0.6370 0.136 0.036 0.000 0.820 0.008
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.5857 0.5118 0.040 0.196 0.000 0.668 0.096
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.1357 0.7400 0.004 0.948 0.000 0.000 0.048
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.3229 0.6132 0.032 0.000 0.000 0.840 0.128
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.2928 0.7074 0.004 0.872 0.000 0.032 0.092
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 5 0.6553 0.7711 0.000 0.236 0.000 0.292 0.472
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.3409 0.8091 0.160 0.000 0.816 0.000 0.024
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 4 0.2685 0.6480 0.092 0.000 0.000 0.880 0.028
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.9572 0.000 0.000 1.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.3675 0.6412 0.056 0.056 0.000 0.848 0.040
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.5223 -0.2294 0.000 0.044 0.000 0.512 0.444
#> AA838488-4A13-4998-B261-91590113F37D 4 0.4240 0.5452 0.240 0.024 0.000 0.732 0.004
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 4 0.6094 0.4991 0.128 0.200 0.000 0.640 0.032
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 4 0.5883 0.2881 0.004 0.220 0.000 0.616 0.160
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 4 0.2470 0.6447 0.104 0.000 0.000 0.884 0.012
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.3318 0.5527 0.000 0.012 0.000 0.808 0.180
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.5564 0.4288 0.016 0.196 0.000 0.676 0.112
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 5 0.6506 0.7226 0.000 0.208 0.000 0.324 0.468
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.8575 0.2250 0.168 0.472 0.192 0.108 0.060
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 4 0.6533 0.0643 0.016 0.364 0.000 0.488 0.132
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 4 0.2424 0.6522 0.052 0.032 0.000 0.908 0.008
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 4 0.3950 0.6309 0.152 0.048 0.000 0.796 0.004
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.4347 0.3862 0.004 0.732 0.000 0.232 0.032
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.2332 0.7251 0.004 0.904 0.000 0.016 0.076
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 4 0.5755 0.5363 0.096 0.192 0.000 0.676 0.036
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.1942 0.7306 0.000 0.920 0.000 0.012 0.068
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.6393 -0.1301 0.004 0.172 0.000 0.516 0.308
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 4 0.3371 0.6510 0.104 0.040 0.000 0.848 0.008
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 4 0.5842 0.3219 0.008 0.212 0.000 0.632 0.148
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 5 0.6718 0.6316 0.000 0.248 0.000 0.368 0.384
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.2886 0.5861 0.008 0.000 0.000 0.844 0.148
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.6973 0.3404 0.160 0.544 0.244 0.000 0.052
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.1502 0.7405 0.000 0.940 0.000 0.004 0.056
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 4 0.5450 0.5506 0.072 0.176 0.000 0.708 0.044
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.4998 0.3153 0.012 0.680 0.000 0.264 0.044
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 4 0.2470 0.6447 0.104 0.000 0.000 0.884 0.012
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0404 0.7429 0.000 0.988 0.000 0.000 0.012
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0404 0.7429 0.000 0.988 0.000 0.000 0.012
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.2953 0.6997 0.004 0.868 0.000 0.028 0.100
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.3750 0.4915 0.000 0.012 0.000 0.756 0.232
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.1547 0.7305 0.004 0.948 0.000 0.032 0.016
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 4 0.4135 0.6372 0.080 0.096 0.000 0.808 0.016
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.3216 0.6248 0.044 0.000 0.000 0.848 0.108
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 4 0.4138 0.3820 0.384 0.000 0.000 0.616 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 5 0.6583 0.7818 0.000 0.256 0.000 0.276 0.468
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.5815 0.3381 0.008 0.208 0.000 0.636 0.148
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.2270 0.7259 0.004 0.908 0.000 0.016 0.072
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.1270 0.7411 0.000 0.948 0.000 0.000 0.052
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.4700 0.6282 0.064 0.064 0.000 0.784 0.088
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.5541 0.5601 0.092 0.724 0.140 0.012 0.032
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.3284 0.6386 0.148 0.000 0.000 0.828 0.024
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.9572 0.000 0.000 1.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.2846 0.6057 0.008 0.008 0.000 0.864 0.120
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 4 0.3197 0.6357 0.152 0.004 0.000 0.832 0.012
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 4 0.5842 0.3219 0.008 0.212 0.000 0.632 0.148
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.4238 0.5243 0.000 0.088 0.000 0.776 0.136
#> 3E070741-BBA0-4806-8D74-08595E249252 4 0.2875 0.6196 0.008 0.052 0.000 0.884 0.056
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.2355 0.6436 0.024 0.024 0.000 0.916 0.036
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.2661 0.7613 0.888 0.000 0.000 0.056 0.056
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.2929 0.5959 0.004 0.012 0.000 0.856 0.128
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.9572 0.000 0.000 1.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 4 0.6605 0.3843 0.268 0.140 0.000 0.560 0.032
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0566 0.7417 0.000 0.984 0.000 0.004 0.012
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.4892 0.6032 0.056 0.108 0.000 0.768 0.068
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 4 0.6341 0.1817 0.012 0.312 0.000 0.540 0.136
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.5140 0.4982 0.040 0.644 0.000 0.012 0.304
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.3266 0.5351 0.000 0.004 0.000 0.796 0.200
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.6973 0.3404 0.160 0.544 0.244 0.000 0.052
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.3105 0.6986 0.004 0.864 0.000 0.044 0.088
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.1282 0.7396 0.004 0.952 0.000 0.000 0.044
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.2708 0.6337 0.044 0.000 0.000 0.884 0.072
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.5403 0.3992 0.044 0.556 0.000 0.008 0.392
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.4505 0.5974 0.028 0.736 0.000 0.016 0.220
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.6780 -0.2832 0.004 0.268 0.000 0.448 0.280
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.5223 -0.2294 0.000 0.044 0.000 0.512 0.444
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.1357 0.7400 0.004 0.948 0.000 0.000 0.048
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 4 0.4150 0.3754 0.388 0.000 0.000 0.612 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.2654 0.6255 0.032 0.000 0.000 0.884 0.084
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.9572 0.000 0.000 1.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 4 0.4138 0.3820 0.384 0.000 0.000 0.616 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 4 0.2464 0.6513 0.092 0.012 0.000 0.892 0.004
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.5337 0.1460 0.016 0.616 0.000 0.328 0.040
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.7261 -0.2618 0.048 0.388 0.156 0.000 0.408
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.6335 -0.1032 0.000 0.204 0.000 0.520 0.276
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.1357 0.7420 0.000 0.948 0.000 0.004 0.048
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.3489 0.5225 0.004 0.004 0.000 0.784 0.208
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0960 0.7389 0.004 0.972 0.000 0.008 0.016
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 4 0.4138 0.3816 0.384 0.000 0.000 0.616 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 4 0.4126 0.3864 0.380 0.000 0.000 0.620 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.2889 0.6466 0.084 0.000 0.000 0.872 0.044
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.5640 0.0445 0.032 0.572 0.000 0.364 0.032
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.1461 0.7325 0.004 0.952 0.000 0.028 0.016
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 4 0.3302 0.6387 0.044 0.020 0.000 0.864 0.072
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.2793 0.6263 0.036 0.000 0.000 0.876 0.088
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.1461 0.7325 0.004 0.952 0.000 0.028 0.016
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 4 0.3732 0.6186 0.176 0.000 0.000 0.792 0.032
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.3769 0.6162 0.180 0.000 0.000 0.788 0.032
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 4 0.3518 0.6496 0.104 0.048 0.000 0.840 0.008
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0451 0.7428 0.000 0.988 0.000 0.004 0.008
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 4 0.2689 0.6528 0.084 0.012 0.000 0.888 0.016
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.6885 0.5528 0.552 0.144 0.000 0.252 0.052
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.5605 0.3592 0.008 0.200 0.000 0.660 0.132
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.5786 0.3397 0.008 0.204 0.000 0.640 0.148
#> 57787823-A815-4783-930C-A5752E48FFBA 4 0.6254 -0.0133 0.012 0.376 0.000 0.504 0.108
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 4 0.3950 0.6309 0.152 0.048 0.000 0.796 0.004
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.7426 0.3954 0.164 0.572 0.176 0.036 0.052
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.3211 0.5753 0.008 0.004 0.000 0.824 0.164
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.7366 0.1691 0.048 0.444 0.156 0.004 0.348
#> B11753A0-829F-4913-B894-F07A53FF1C92 4 0.3396 0.6427 0.136 0.028 0.000 0.832 0.004
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.5667 0.1346 0.008 0.624 0.000 0.272 0.096
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.5205 0.2633 0.016 0.656 0.000 0.284 0.044
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.5574 0.3441 0.004 0.196 0.000 0.656 0.144
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.2754 0.6497 0.080 0.004 0.000 0.884 0.032
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.5223 -0.2294 0.000 0.044 0.000 0.512 0.444
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 4 0.6605 0.3843 0.268 0.140 0.000 0.560 0.032
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.5691 0.3500 0.008 0.196 0.000 0.652 0.144
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.3686 0.5326 0.012 0.004 0.000 0.780 0.204
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.2193 0.7274 0.000 0.912 0.000 0.028 0.060
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.1357 0.7400 0.004 0.948 0.000 0.000 0.048
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.4123 0.6102 0.004 0.796 0.000 0.108 0.092
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.5587 0.3398 0.004 0.188 0.000 0.656 0.152
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 4 0.4150 0.3754 0.388 0.000 0.000 0.612 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 4 0.4138 0.3820 0.384 0.000 0.000 0.616 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 4 0.4578 0.5410 0.244 0.040 0.000 0.712 0.004
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.2573 0.6456 0.104 0.000 0.000 0.880 0.016
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 4 0.4242 0.5795 0.208 0.036 0.000 0.752 0.004
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.1012 0.7398 0.000 0.968 0.000 0.012 0.020
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.3409 0.8091 0.160 0.000 0.816 0.000 0.024
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 4 0.5883 0.2881 0.004 0.220 0.000 0.616 0.160
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 4 0.4150 0.3754 0.388 0.000 0.000 0.612 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.2789 0.6685 0.008 0.880 0.000 0.092 0.020
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.2927 0.6262 0.040 0.000 0.000 0.868 0.092
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 4 0.4554 0.6125 0.064 0.128 0.000 0.780 0.028
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.4123 0.6102 0.004 0.796 0.000 0.108 0.092
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.9572 0.000 0.000 1.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.6973 0.3404 0.160 0.544 0.244 0.000 0.052
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.1626 0.7429 0.000 0.940 0.000 0.016 0.044
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 5 0.6583 0.7818 0.000 0.256 0.000 0.276 0.468
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.2592 0.7632 0.892 0.000 0.000 0.056 0.052
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.5842 0.3219 0.008 0.212 0.000 0.632 0.148
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.2654 0.6255 0.032 0.000 0.000 0.884 0.084
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0960 0.7389 0.004 0.972 0.000 0.008 0.016
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 4 0.4074 0.4099 0.364 0.000 0.000 0.636 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.9572 0.000 0.000 1.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 4 0.6534 -0.0149 0.008 0.368 0.000 0.468 0.156
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.4141 0.5598 0.008 0.088 0.000 0.800 0.104
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0404 0.7429 0.000 0.988 0.000 0.000 0.012
#> CC008807-7264-4593-966F-104992B35873 2 0.2789 0.6685 0.008 0.880 0.000 0.092 0.020
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 4 0.4196 0.4179 0.356 0.000 0.000 0.640 0.004
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 4 0.4150 0.3754 0.388 0.000 0.000 0.612 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.3229 0.6132 0.032 0.000 0.000 0.840 0.128
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.5605 0.3592 0.008 0.200 0.000 0.660 0.132
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.5225 -0.0430 0.004 0.040 0.000 0.564 0.392
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.5555 0.4156 0.012 0.196 0.000 0.672 0.120
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.6885 0.5528 0.552 0.144 0.000 0.252 0.052
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.1282 0.7396 0.004 0.952 0.000 0.000 0.044
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 5 0.6705 0.7046 0.000 0.252 0.000 0.336 0.412
#> 67E92530-3B19-424C-B219-958A88909046 4 0.2237 0.6510 0.084 0.008 0.000 0.904 0.004
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.4854 0.6048 0.068 0.116 0.000 0.768 0.048
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.3080 0.5974 0.004 0.020 0.000 0.852 0.124
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.4272 0.6391 0.076 0.060 0.000 0.812 0.052
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.1562 0.67640 0.004 0.940 0.000 0.000 0.032 0.024
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.5510 0.30904 0.004 0.156 0.000 0.568 0.000 0.272
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.5548 0.21901 0.000 0.172 0.000 0.540 0.000 0.288
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.1659 0.68185 0.008 0.940 0.000 0.004 0.028 0.020
#> EB246839-8CB3-4B57-985E-DCEE23692361 6 0.5009 0.68961 0.000 0.188 0.000 0.128 0.012 0.672
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.5646 0.08793 0.000 0.548 0.000 0.272 0.004 0.176
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.4824 -0.29873 0.000 0.544 0.000 0.008 0.408 0.040
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.5510 0.30904 0.004 0.156 0.000 0.568 0.000 0.272
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.3795 0.31124 0.004 0.000 0.000 0.632 0.000 0.364
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.5208 0.31423 0.000 0.108 0.000 0.592 0.004 0.296
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.2587 0.61377 0.020 0.004 0.000 0.868 0.000 0.108
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.92553 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.1327 0.74265 0.936 0.000 0.000 0.064 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.1327 0.74265 0.936 0.000 0.000 0.064 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 4 0.4586 0.44530 0.216 0.000 0.000 0.692 0.004 0.088
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.2350 0.67651 0.016 0.900 0.000 0.008 0.008 0.068
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.4399 0.74830 0.000 0.352 0.000 0.004 0.616 0.028
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 4 0.3300 0.58746 0.016 0.016 0.000 0.812 0.000 0.156
#> 851B9B77-547A-43CC-B939-428E0A26C67C 4 0.6097 0.05449 0.004 0.344 0.000 0.420 0.000 0.232
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.1575 0.68423 0.000 0.936 0.000 0.032 0.000 0.032
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.4932 0.26930 0.000 0.600 0.000 0.312 0.000 0.088
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.92553 0.000 0.000 1.000 0.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 4 0.2541 0.60786 0.024 0.032 0.000 0.892 0.000 0.052
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.5223 0.45538 0.008 0.176 0.000 0.640 0.000 0.176
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.1562 0.67640 0.004 0.940 0.000 0.000 0.032 0.024
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.2854 0.54398 0.000 0.000 0.000 0.792 0.000 0.208
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.3391 0.62437 0.000 0.832 0.000 0.016 0.060 0.092
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 6 0.5004 0.70920 0.000 0.168 0.000 0.144 0.012 0.676
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.5695 0.65938 0.108 0.000 0.656 0.000 0.128 0.108
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 4 0.1913 0.61078 0.012 0.000 0.000 0.908 0.000 0.080
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.92553 0.000 0.000 1.000 0.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.3030 0.60185 0.004 0.056 0.000 0.848 0.000 0.092
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 6 0.4045 0.59418 0.008 0.000 0.000 0.336 0.008 0.648
#> AA838488-4A13-4998-B261-91590113F37D 4 0.3790 0.55728 0.088 0.020 0.000 0.812 0.004 0.076
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 4 0.5444 0.46320 0.040 0.172 0.000 0.656 0.000 0.132
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 4 0.5740 0.22390 0.000 0.200 0.000 0.536 0.004 0.260
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 4 0.1616 0.61211 0.020 0.000 0.000 0.932 0.000 0.048
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.3772 0.44461 0.004 0.008 0.000 0.692 0.000 0.296
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.5377 0.37299 0.004 0.176 0.000 0.604 0.000 0.216
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 6 0.4937 0.72517 0.000 0.140 0.000 0.164 0.012 0.684
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.8609 0.08680 0.112 0.428 0.032 0.112 0.132 0.184
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 4 0.6093 0.05772 0.004 0.340 0.000 0.424 0.000 0.232
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 4 0.1984 0.61621 0.000 0.032 0.000 0.912 0.000 0.056
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 4 0.2868 0.60085 0.020 0.040 0.000 0.876 0.004 0.060
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.4333 0.47566 0.004 0.720 0.000 0.200 0.000 0.076
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.2706 0.65235 0.000 0.876 0.000 0.008 0.056 0.060
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 4 0.4981 0.50116 0.028 0.168 0.000 0.696 0.000 0.108
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.2461 0.66563 0.000 0.888 0.000 0.004 0.044 0.064
#> 89430A30-8758-4E5B-8186-999EA234E39A 6 0.5794 0.35341 0.000 0.156 0.000 0.388 0.004 0.452
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 4 0.2249 0.62001 0.004 0.032 0.000 0.900 0.000 0.064
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 4 0.5618 0.25731 0.000 0.196 0.000 0.536 0.000 0.268
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 6 0.6204 0.65504 0.008 0.212 0.000 0.236 0.016 0.528
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.3314 0.49389 0.004 0.000 0.000 0.740 0.000 0.256
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.7621 0.09346 0.112 0.504 0.084 0.000 0.132 0.168
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.2094 0.67017 0.004 0.912 0.000 0.004 0.060 0.020
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 4 0.4773 0.51033 0.020 0.156 0.000 0.712 0.000 0.112
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.4641 0.42402 0.000 0.664 0.000 0.248 0.000 0.088
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 4 0.1616 0.61211 0.020 0.000 0.000 0.932 0.000 0.048
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0508 0.68984 0.004 0.984 0.000 0.000 0.000 0.012
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0508 0.68984 0.004 0.984 0.000 0.000 0.000 0.012
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.3191 0.63262 0.000 0.844 0.000 0.016 0.044 0.096
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.3841 0.29641 0.004 0.000 0.000 0.616 0.000 0.380
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.1572 0.68538 0.000 0.936 0.000 0.028 0.000 0.036
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 4 0.3266 0.60599 0.004 0.084 0.000 0.832 0.000 0.080
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.3514 0.55564 0.020 0.000 0.000 0.768 0.004 0.208
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 4 0.4560 0.45126 0.212 0.000 0.000 0.696 0.004 0.088
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 6 0.5009 0.68961 0.000 0.188 0.000 0.128 0.012 0.672
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.5587 0.27372 0.000 0.188 0.000 0.540 0.000 0.272
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.2644 0.65474 0.000 0.880 0.000 0.008 0.052 0.060
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.1565 0.68274 0.004 0.940 0.000 0.000 0.028 0.028
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.4289 0.56211 0.012 0.052 0.000 0.740 0.004 0.192
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.5682 0.40204 0.076 0.688 0.020 0.004 0.072 0.140
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.2631 0.60288 0.044 0.000 0.000 0.876 0.004 0.076
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.92553 0.000 0.000 1.000 0.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.3248 0.53265 0.004 0.004 0.000 0.768 0.000 0.224
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 4 0.2052 0.60806 0.028 0.004 0.000 0.912 0.000 0.056
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 4 0.5618 0.25731 0.000 0.196 0.000 0.536 0.000 0.268
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.4606 0.42184 0.000 0.076 0.000 0.656 0.000 0.268
#> 3E070741-BBA0-4806-8D74-08595E249252 4 0.3417 0.56587 0.000 0.044 0.000 0.796 0.000 0.160
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.2618 0.59789 0.000 0.024 0.000 0.860 0.000 0.116
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.1584 0.73839 0.928 0.000 0.000 0.064 0.000 0.008
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.3380 0.51651 0.004 0.004 0.000 0.748 0.000 0.244
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.92553 0.000 0.000 1.000 0.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 4 0.6432 0.39789 0.148 0.120 0.000 0.584 0.004 0.144
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0858 0.68953 0.004 0.968 0.000 0.000 0.000 0.028
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.4225 0.55547 0.008 0.096 0.000 0.752 0.000 0.144
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 4 0.6029 0.14770 0.004 0.292 0.000 0.464 0.000 0.240
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 5 0.4715 0.61991 0.000 0.416 0.000 0.008 0.544 0.032
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.3684 0.39495 0.004 0.000 0.000 0.664 0.000 0.332
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.7621 0.09346 0.112 0.504 0.084 0.000 0.132 0.168
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.3572 0.61815 0.000 0.820 0.000 0.020 0.060 0.100
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.1564 0.67455 0.000 0.936 0.000 0.000 0.040 0.024
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.2877 0.56741 0.012 0.000 0.000 0.820 0.000 0.168
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 5 0.4390 0.76329 0.004 0.312 0.000 0.004 0.652 0.028
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.4824 -0.29873 0.000 0.544 0.000 0.008 0.408 0.040
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 6 0.6068 0.36219 0.004 0.228 0.000 0.332 0.000 0.436
#> 17349241-FDBC-4297-8431-BB9400D87E63 6 0.4045 0.59418 0.008 0.000 0.000 0.336 0.008 0.648
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.1562 0.67640 0.004 0.940 0.000 0.000 0.032 0.024
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 4 0.4586 0.44530 0.216 0.000 0.000 0.692 0.004 0.088
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.2948 0.54672 0.008 0.000 0.000 0.804 0.000 0.188
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.92553 0.000 0.000 1.000 0.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 4 0.4560 0.45126 0.212 0.000 0.000 0.696 0.004 0.088
#> D227D812-6DF9-4954-9A50-6EBF6486116C 4 0.1578 0.61918 0.004 0.012 0.000 0.936 0.000 0.048
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.4932 0.26930 0.000 0.600 0.000 0.312 0.000 0.088
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.3283 0.57510 0.004 0.132 0.024 0.000 0.828 0.012
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.6058 -0.31381 0.000 0.188 0.000 0.404 0.008 0.400
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.1659 0.68185 0.008 0.940 0.000 0.004 0.028 0.020
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.3742 0.34778 0.004 0.000 0.000 0.648 0.000 0.348
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.1007 0.68823 0.000 0.956 0.000 0.000 0.000 0.044
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 4 0.4540 0.45032 0.216 0.000 0.000 0.696 0.004 0.084
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 4 0.4533 0.45513 0.208 0.000 0.000 0.700 0.004 0.088
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.2633 0.60176 0.020 0.000 0.000 0.864 0.004 0.112
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.5067 0.16896 0.000 0.556 0.000 0.356 0.000 0.088
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.1498 0.68592 0.000 0.940 0.000 0.028 0.000 0.032
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 4 0.3300 0.58746 0.016 0.016 0.000 0.812 0.000 0.156
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.2915 0.55160 0.008 0.000 0.000 0.808 0.000 0.184
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.1498 0.68592 0.000 0.940 0.000 0.028 0.000 0.032
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 4 0.3456 0.58042 0.076 0.000 0.000 0.816 0.004 0.104
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.3508 0.57914 0.080 0.000 0.000 0.812 0.004 0.104
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 4 0.2451 0.61900 0.004 0.040 0.000 0.888 0.000 0.068
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0363 0.69044 0.000 0.988 0.000 0.000 0.000 0.012
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 4 0.2202 0.61866 0.028 0.012 0.000 0.908 0.000 0.052
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.6259 0.50096 0.536 0.128 0.000 0.276 0.000 0.060
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.5383 0.29791 0.000 0.184 0.000 0.584 0.000 0.232
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.5572 0.27439 0.000 0.188 0.000 0.544 0.000 0.268
#> 57787823-A815-4783-930C-A5752E48FFBA 4 0.5774 -0.00129 0.000 0.364 0.000 0.456 0.000 0.180
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 4 0.2868 0.60085 0.020 0.040 0.000 0.876 0.004 0.060
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.7444 0.18859 0.112 0.536 0.020 0.032 0.128 0.172
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.3521 0.48031 0.004 0.004 0.000 0.724 0.000 0.268
#> 08C4C14A-94A8-4063-BBC3-916579960078 5 0.4244 0.66094 0.000 0.196 0.024 0.000 0.740 0.040
#> B11753A0-829F-4913-B894-F07A53FF1C92 4 0.2257 0.61205 0.016 0.020 0.000 0.904 0.000 0.060
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.5177 0.25558 0.000 0.612 0.000 0.236 0.000 0.152
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.4764 0.37652 0.000 0.640 0.000 0.272 0.000 0.088
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.5464 0.27509 0.000 0.176 0.000 0.564 0.000 0.260
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.2501 0.60880 0.016 0.004 0.000 0.872 0.000 0.108
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 6 0.4045 0.59418 0.008 0.000 0.000 0.336 0.008 0.648
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 4 0.6432 0.39789 0.148 0.120 0.000 0.584 0.004 0.144
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.5446 0.27992 0.000 0.176 0.000 0.568 0.000 0.256
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.3699 0.36400 0.004 0.000 0.000 0.660 0.000 0.336
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.2784 0.66860 0.000 0.876 0.000 0.020 0.040 0.064
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.1562 0.67640 0.004 0.940 0.000 0.000 0.032 0.024
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.4534 0.56143 0.000 0.756 0.000 0.080 0.052 0.112
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.5438 0.26883 0.000 0.172 0.000 0.568 0.000 0.260
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 4 0.4586 0.44530 0.216 0.000 0.000 0.692 0.004 0.088
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 4 0.4560 0.45126 0.212 0.000 0.000 0.696 0.004 0.088
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 4 0.4140 0.55564 0.092 0.036 0.000 0.792 0.004 0.076
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.1682 0.61258 0.020 0.000 0.000 0.928 0.000 0.052
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 4 0.3703 0.57696 0.064 0.032 0.000 0.824 0.004 0.076
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.1226 0.69098 0.000 0.952 0.000 0.004 0.004 0.040
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.5695 0.65938 0.108 0.000 0.656 0.000 0.128 0.108
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 4 0.5740 0.22390 0.000 0.200 0.000 0.536 0.004 0.260
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 4 0.4586 0.44530 0.216 0.000 0.000 0.692 0.004 0.088
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.2721 0.64095 0.004 0.868 0.000 0.088 0.000 0.040
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.3078 0.54729 0.012 0.000 0.000 0.796 0.000 0.192
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 4 0.3650 0.57815 0.000 0.116 0.000 0.792 0.000 0.092
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.4534 0.56143 0.000 0.756 0.000 0.080 0.052 0.112
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.92553 0.000 0.000 1.000 0.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.7621 0.09346 0.112 0.504 0.084 0.000 0.132 0.168
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.1760 0.68671 0.004 0.936 0.000 0.012 0.028 0.020
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 6 0.5009 0.68961 0.000 0.188 0.000 0.128 0.012 0.672
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.1327 0.74265 0.936 0.000 0.000 0.064 0.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.5618 0.25731 0.000 0.196 0.000 0.536 0.000 0.268
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.2948 0.54672 0.008 0.000 0.000 0.804 0.000 0.188
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.1007 0.68823 0.000 0.956 0.000 0.000 0.000 0.044
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 4 0.4478 0.47171 0.200 0.000 0.000 0.708 0.004 0.088
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.92553 0.000 0.000 1.000 0.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 4 0.6034 -0.02392 0.000 0.348 0.000 0.400 0.000 0.252
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.4331 0.48814 0.000 0.076 0.000 0.704 0.000 0.220
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0508 0.68984 0.004 0.984 0.000 0.000 0.000 0.012
#> CC008807-7264-4593-966F-104992B35873 2 0.2721 0.64095 0.004 0.868 0.000 0.088 0.000 0.040
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 4 0.4437 0.48277 0.188 0.000 0.000 0.716 0.004 0.092
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 4 0.4586 0.44530 0.216 0.000 0.000 0.692 0.004 0.088
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.2854 0.54398 0.000 0.000 0.000 0.792 0.000 0.208
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.5383 0.29791 0.000 0.184 0.000 0.584 0.000 0.232
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 6 0.4230 0.47231 0.008 0.000 0.000 0.400 0.008 0.584
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.5443 0.35645 0.004 0.176 0.000 0.592 0.000 0.228
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.6259 0.50096 0.536 0.128 0.000 0.276 0.000 0.060
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.1564 0.67455 0.000 0.936 0.000 0.000 0.040 0.024
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 6 0.5491 0.70404 0.000 0.200 0.000 0.192 0.008 0.600
#> 67E92530-3B19-424C-B219-958A88909046 4 0.1577 0.61763 0.016 0.008 0.000 0.940 0.000 0.036
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.4263 0.55921 0.016 0.100 0.000 0.760 0.000 0.124
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.3559 0.51898 0.004 0.012 0.000 0.744 0.000 0.240
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.3815 0.59215 0.016 0.052 0.000 0.800 0.004 0.128
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 17604 rows and 183 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.376 0.847 0.887 0.4408 0.507 0.507
#> 3 3 0.678 0.803 0.898 0.3254 0.836 0.700
#> 4 4 0.591 0.747 0.852 0.1933 0.749 0.481
#> 5 5 0.578 0.565 0.753 0.0917 0.841 0.538
#> 6 6 0.588 0.534 0.723 0.0497 0.837 0.437
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.6343 0.882 0.160 0.840
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.9608 0.133 0.616 0.384
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.5842 0.788 0.860 0.140
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.6712 0.889 0.176 0.824
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.7219 0.874 0.200 0.800
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.9815 0.574 0.420 0.580
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.6712 0.889 0.176 0.824
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.4690 0.843 0.900 0.100
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.939 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.5842 0.788 0.860 0.140
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.939 1.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.5842 0.707 0.140 0.860
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.6531 0.755 0.832 0.168
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.6531 0.755 0.832 0.168
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0938 0.932 0.988 0.012
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.6712 0.889 0.176 0.824
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.6712 0.889 0.176 0.824
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 0.939 1.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.9460 0.683 0.364 0.636
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.6712 0.889 0.176 0.824
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.7883 0.844 0.236 0.764
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.5737 0.710 0.136 0.864
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.939 1.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.7883 0.622 0.764 0.236
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.6247 0.880 0.156 0.844
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.939 1.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.6712 0.889 0.176 0.824
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.4161 0.862 0.916 0.084
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.5842 0.707 0.140 0.860
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.939 1.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.3733 0.746 0.072 0.928
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 0.939 1.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.1184 0.927 0.984 0.016
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0938 0.932 0.988 0.012
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.3431 0.883 0.936 0.064
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.9988 0.416 0.480 0.520
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.939 1.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0000 0.939 1.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.3431 0.883 0.936 0.064
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.4815 0.838 0.896 0.104
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.7376 0.739 0.208 0.792
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.9323 0.708 0.348 0.652
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.939 1.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0000 0.939 1.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.8955 0.759 0.312 0.688
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.6712 0.889 0.176 0.824
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.0376 0.937 0.996 0.004
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.6712 0.889 0.176 0.824
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.4815 0.838 0.896 0.104
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.939 1.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.6801 0.887 0.180 0.820
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.9954 -0.187 0.540 0.460
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.939 1.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.0000 0.765 0.000 1.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.6623 0.888 0.172 0.828
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.6148 0.764 0.848 0.152
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.6712 0.889 0.176 0.824
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.939 1.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.6712 0.889 0.176 0.824
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.6712 0.889 0.176 0.824
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.6712 0.889 0.176 0.824
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0000 0.939 1.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.6712 0.889 0.176 0.824
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0000 0.939 1.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.939 1.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0938 0.932 0.988 0.012
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.9522 0.669 0.372 0.628
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.3114 0.891 0.944 0.056
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.6712 0.889 0.176 0.824
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.6712 0.889 0.176 0.824
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.939 1.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.6712 0.889 0.176 0.824
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0938 0.932 0.988 0.012
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.5842 0.707 0.140 0.860
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.939 1.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.939 1.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.6712 0.889 0.176 0.824
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0000 0.939 1.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.939 1.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.0000 0.939 1.000 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.6531 0.755 0.832 0.168
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.939 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.5842 0.707 0.140 0.860
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.0672 0.935 0.992 0.008
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.6531 0.886 0.168 0.832
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.939 1.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.8144 0.833 0.252 0.748
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.6712 0.889 0.176 0.824
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0000 0.939 1.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.0938 0.773 0.012 0.988
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.6712 0.889 0.176 0.824
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.6247 0.880 0.156 0.844
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.939 1.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.6712 0.889 0.176 0.824
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.6712 0.889 0.176 0.824
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.9909 0.517 0.444 0.556
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0000 0.939 1.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.6343 0.882 0.160 0.840
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0938 0.932 0.988 0.012
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.939 1.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 2 0.5842 0.707 0.140 0.860
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0938 0.932 0.988 0.012
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.939 1.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.8207 0.825 0.256 0.744
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.1184 0.779 0.016 0.984
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.5842 0.788 0.860 0.140
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.6712 0.889 0.176 0.824
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0000 0.939 1.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.6531 0.886 0.168 0.832
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0938 0.932 0.988 0.012
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0938 0.932 0.988 0.012
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.939 1.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 1 0.5946 0.783 0.856 0.144
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.6712 0.889 0.176 0.824
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0000 0.939 1.000 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.939 1.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.6712 0.889 0.176 0.824
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0938 0.932 0.988 0.012
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0938 0.932 0.988 0.012
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.939 1.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.6712 0.889 0.176 0.824
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.939 1.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.9775 0.248 0.588 0.412
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.5737 0.794 0.864 0.136
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.0000 0.939 1.000 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 1 0.9323 0.286 0.652 0.348
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0000 0.939 1.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.6712 0.889 0.176 0.824
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.939 1.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.5519 0.861 0.128 0.872
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.939 1.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.6712 0.889 0.176 0.824
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.9795 0.583 0.416 0.584
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.0000 0.939 1.000 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.939 1.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0376 0.937 0.996 0.004
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.1633 0.930 0.976 0.024
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.4161 0.862 0.916 0.084
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.939 1.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.6712 0.889 0.176 0.824
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.6438 0.884 0.164 0.836
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.6973 0.882 0.188 0.812
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.5842 0.788 0.860 0.140
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0938 0.932 0.988 0.012
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0938 0.932 0.988 0.012
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.0938 0.932 0.988 0.012
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.939 1.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0376 0.937 0.996 0.004
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.6712 0.889 0.176 0.824
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.5842 0.707 0.140 0.860
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.9944 0.486 0.456 0.544
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0938 0.932 0.988 0.012
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.6712 0.889 0.176 0.824
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.939 1.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.0000 0.939 1.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.9129 0.737 0.328 0.672
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.5842 0.707 0.140 0.860
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.5842 0.707 0.140 0.860
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.7299 0.871 0.204 0.796
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.9909 0.517 0.444 0.556
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.6531 0.755 0.832 0.168
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.9795 0.583 0.416 0.584
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.939 1.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.6531 0.886 0.168 0.832
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.939 1.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.0000 0.765 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.6712 0.889 0.176 0.824
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.0000 0.939 1.000 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.6712 0.889 0.176 0.824
#> CC008807-7264-4593-966F-104992B35873 2 0.6712 0.889 0.176 0.824
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0938 0.932 0.988 0.012
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0938 0.932 0.988 0.012
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.939 1.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.2603 0.903 0.956 0.044
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0938 0.932 0.988 0.012
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.5059 0.828 0.888 0.112
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.8207 0.649 0.744 0.256
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.6531 0.886 0.168 0.832
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.9580 0.655 0.380 0.620
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.939 1.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.939 1.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.939 1.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0000 0.939 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.3686 0.8309 0.000 0.860 0.140
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.3619 0.6891 0.136 0.864 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.6140 0.2094 0.404 0.596 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.3551 0.8341 0.000 0.868 0.132
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.1170 0.8226 0.016 0.976 0.008
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0747 0.8214 0.016 0.984 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.2165 0.8431 0.000 0.936 0.064
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.4121 0.8441 0.832 0.168 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.3551 0.8754 0.868 0.132 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.6140 0.2094 0.404 0.596 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0237 0.9181 0.996 0.004 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0747 0.7869 0.000 0.016 0.984
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 3 0.6260 0.2849 0.448 0.000 0.552
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 3 0.6260 0.2849 0.448 0.000 0.552
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0747 0.9139 0.984 0.000 0.016
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.3619 0.8312 0.000 0.864 0.136
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.3340 0.8363 0.000 0.880 0.120
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.2031 0.9173 0.952 0.032 0.016
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.0747 0.8214 0.016 0.984 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.3551 0.8326 0.000 0.868 0.132
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.1950 0.8386 0.008 0.952 0.040
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0747 0.7869 0.000 0.016 0.984
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0475 0.9176 0.992 0.004 0.004
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.6225 0.0704 0.432 0.568 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.3686 0.8309 0.000 0.860 0.140
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.1643 0.9153 0.956 0.044 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.2356 0.8431 0.000 0.928 0.072
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.5201 0.7505 0.760 0.236 0.004
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0892 0.7852 0.000 0.020 0.980
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0747 0.9139 0.984 0.000 0.016
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0747 0.7869 0.000 0.016 0.984
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.3412 0.8806 0.876 0.124 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.3030 0.8962 0.904 0.092 0.004
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0983 0.9144 0.980 0.004 0.016
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.3983 0.8632 0.852 0.144 0.004
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.1964 0.7911 0.056 0.944 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0747 0.9139 0.984 0.000 0.016
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.3551 0.8754 0.868 0.132 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.3941 0.8539 0.844 0.156 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.4452 0.8144 0.808 0.192 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.6308 -0.1282 0.000 0.492 0.508
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.0747 0.8214 0.016 0.984 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.1399 0.9190 0.968 0.028 0.004
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.1525 0.9176 0.964 0.032 0.004
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.0892 0.8198 0.020 0.980 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.2356 0.8431 0.000 0.928 0.072
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.0848 0.9165 0.984 0.008 0.008
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.3686 0.8309 0.000 0.860 0.140
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.4974 0.7565 0.764 0.236 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0983 0.9144 0.980 0.004 0.016
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.1643 0.8408 0.000 0.956 0.044
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 2 0.6416 0.2516 0.376 0.616 0.008
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.1529 0.9155 0.960 0.040 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.6307 -0.1250 0.000 0.488 0.512
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.3686 0.8309 0.000 0.860 0.140
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.3587 0.8409 0.892 0.088 0.020
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.1832 0.8381 0.008 0.956 0.036
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0747 0.9139 0.984 0.000 0.016
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.3619 0.8312 0.000 0.864 0.136
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.3619 0.8312 0.000 0.864 0.136
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.1643 0.8409 0.000 0.956 0.044
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.3551 0.8754 0.868 0.132 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.1878 0.8402 0.004 0.952 0.044
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.3193 0.8921 0.896 0.100 0.004
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0475 0.9178 0.992 0.004 0.004
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0747 0.9139 0.984 0.000 0.016
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.2301 0.7857 0.060 0.936 0.004
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.4121 0.8441 0.832 0.168 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.3412 0.8357 0.000 0.876 0.124
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.3686 0.8309 0.000 0.860 0.140
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0424 0.9184 0.992 0.008 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.3619 0.8312 0.000 0.864 0.136
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0747 0.9139 0.984 0.000 0.016
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0747 0.7869 0.000 0.016 0.984
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.3482 0.8778 0.872 0.128 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0983 0.9144 0.980 0.004 0.016
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.2537 0.8422 0.000 0.920 0.080
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.3619 0.8738 0.864 0.136 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.1129 0.9195 0.976 0.020 0.004
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.3482 0.8778 0.872 0.128 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 3 0.5327 0.5970 0.272 0.000 0.728
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0747 0.9187 0.984 0.016 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0747 0.7869 0.000 0.016 0.984
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.2031 0.9166 0.952 0.032 0.016
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.3619 0.8312 0.000 0.864 0.136
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.2356 0.9075 0.928 0.072 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.1482 0.8308 0.012 0.968 0.020
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.3412 0.8357 0.000 0.876 0.124
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.3551 0.8754 0.868 0.132 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.5706 0.5941 0.000 0.680 0.320
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.2165 0.8431 0.000 0.936 0.064
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.3686 0.8309 0.000 0.860 0.140
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0592 0.9185 0.988 0.012 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.3412 0.8357 0.000 0.876 0.124
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.2165 0.8431 0.000 0.936 0.064
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.1753 0.7990 0.048 0.952 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.3619 0.8728 0.864 0.136 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.3686 0.8309 0.000 0.860 0.140
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0747 0.9139 0.984 0.000 0.016
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0892 0.9183 0.980 0.020 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0747 0.7869 0.000 0.016 0.984
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0747 0.9139 0.984 0.000 0.016
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0983 0.9144 0.980 0.004 0.016
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0592 0.8235 0.012 0.988 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.6244 0.3703 0.000 0.560 0.440
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.6062 0.2726 0.384 0.616 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.2356 0.8431 0.000 0.928 0.072
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.3551 0.8754 0.868 0.132 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.3619 0.8312 0.000 0.864 0.136
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0747 0.9139 0.984 0.000 0.016
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0747 0.9139 0.984 0.000 0.016
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0424 0.9184 0.992 0.008 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.1525 0.8219 0.032 0.964 0.004
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.3551 0.8326 0.000 0.868 0.132
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.2152 0.9172 0.948 0.036 0.016
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.1643 0.9146 0.956 0.044 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.2063 0.8396 0.008 0.948 0.044
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0747 0.9139 0.984 0.000 0.016
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0747 0.9139 0.984 0.000 0.016
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0983 0.9197 0.980 0.016 0.004
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.3551 0.8326 0.000 0.868 0.132
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0237 0.9170 0.996 0.000 0.004
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.8977 0.1524 0.560 0.188 0.252
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.5497 0.6665 0.708 0.292 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.2878 0.8953 0.904 0.096 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.4931 0.5224 0.232 0.768 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0983 0.9144 0.980 0.004 0.016
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.3551 0.8326 0.000 0.868 0.132
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.1753 0.9136 0.952 0.048 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.3752 0.8292 0.000 0.856 0.144
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0983 0.9144 0.980 0.004 0.016
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.1482 0.8308 0.012 0.968 0.020
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.0747 0.8214 0.016 0.984 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.3619 0.8738 0.864 0.136 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.9177 1.000 0.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.2301 0.9097 0.936 0.060 0.004
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.2998 0.9011 0.916 0.068 0.016
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.4504 0.8118 0.804 0.196 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.1289 0.9169 0.968 0.032 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.2066 0.8435 0.000 0.940 0.060
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.3686 0.8309 0.000 0.860 0.140
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.0983 0.8214 0.016 0.980 0.004
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.6154 0.1968 0.408 0.592 0.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0747 0.9139 0.984 0.000 0.016
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0747 0.9139 0.984 0.000 0.016
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.1170 0.9132 0.976 0.008 0.016
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.1643 0.9153 0.956 0.044 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0983 0.9144 0.980 0.004 0.016
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.3551 0.8326 0.000 0.868 0.132
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0892 0.7852 0.000 0.020 0.980
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.1753 0.7990 0.048 0.952 0.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0747 0.9139 0.984 0.000 0.016
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.3551 0.8326 0.000 0.868 0.132
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.1753 0.9136 0.952 0.048 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.3272 0.8904 0.892 0.104 0.004
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.0892 0.8198 0.020 0.980 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0747 0.7869 0.000 0.016 0.984
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.4346 0.6199 0.000 0.184 0.816
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0592 0.8248 0.012 0.988 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.3816 0.6751 0.148 0.852 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 3 0.6260 0.2849 0.448 0.000 0.552
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.1753 0.7993 0.048 0.952 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0592 0.9150 0.988 0.000 0.012
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.3619 0.8312 0.000 0.864 0.136
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0747 0.9139 0.984 0.000 0.016
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0747 0.7869 0.000 0.016 0.984
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.1337 0.8298 0.012 0.972 0.016
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.3551 0.8754 0.868 0.132 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.3619 0.8312 0.000 0.864 0.136
#> CC008807-7264-4593-966F-104992B35873 2 0.3551 0.8326 0.000 0.868 0.132
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0747 0.9139 0.984 0.000 0.016
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0747 0.9139 0.984 0.000 0.016
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.2878 0.8966 0.904 0.096 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.3619 0.8738 0.864 0.136 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.1163 0.9173 0.972 0.028 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.4605 0.8020 0.796 0.204 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.7164 0.4904 0.680 0.064 0.256
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.3686 0.8309 0.000 0.860 0.140
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.1753 0.7990 0.048 0.952 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0747 0.9139 0.984 0.000 0.016
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0747 0.9188 0.984 0.016 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.3551 0.8754 0.868 0.132 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0747 0.9188 0.984 0.016 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.1637 0.8866 0.000 0.940 0.000 0.060
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.4225 0.7511 0.052 0.108 0.008 0.832
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.3150 0.8031 0.072 0.036 0.004 0.888
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.1970 0.8866 0.000 0.932 0.008 0.060
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.3498 0.6826 0.000 0.160 0.008 0.832
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.4884 0.6251 0.008 0.708 0.008 0.276
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.2345 0.8752 0.000 0.900 0.000 0.100
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.2714 0.8107 0.112 0.004 0.000 0.884
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.2921 0.8094 0.140 0.000 0.000 0.860
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.2797 0.8051 0.068 0.032 0.000 0.900
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.4730 0.4091 0.636 0.000 0.000 0.364
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0469 0.9567 0.000 0.012 0.988 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.4459 0.6084 0.780 0.000 0.188 0.032
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.4332 0.6229 0.792 0.000 0.176 0.032
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0336 0.8046 0.992 0.000 0.000 0.008
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0336 0.8824 0.000 0.992 0.000 0.008
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.2345 0.8752 0.000 0.900 0.000 0.100
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.3945 0.6495 0.780 0.000 0.004 0.216
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.4569 0.7056 0.008 0.760 0.012 0.220
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.1732 0.8679 0.008 0.948 0.004 0.040
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.2597 0.8453 0.008 0.904 0.004 0.084
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0469 0.9567 0.000 0.012 0.988 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.3052 0.7729 0.860 0.000 0.004 0.136
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.5397 0.6179 0.044 0.244 0.004 0.708
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.1637 0.8866 0.000 0.940 0.000 0.060
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.4072 0.7256 0.252 0.000 0.000 0.748
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.2281 0.8770 0.000 0.904 0.000 0.096
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.2466 0.8048 0.096 0.004 0.000 0.900
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.1191 0.9432 0.004 0.004 0.968 0.024
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0592 0.8060 0.984 0.000 0.000 0.016
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0469 0.9567 0.000 0.012 0.988 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.3908 0.7380 0.212 0.000 0.004 0.784
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.3831 0.7328 0.204 0.004 0.000 0.792
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0707 0.7990 0.980 0.000 0.000 0.020
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 4 0.5922 0.4019 0.348 0.028 0.012 0.612
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 4 0.4018 0.5958 0.004 0.224 0.000 0.772
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.2469 0.7749 0.892 0.000 0.000 0.108
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.2921 0.8094 0.140 0.000 0.000 0.860
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.3677 0.7945 0.148 0.008 0.008 0.836
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.2345 0.8058 0.100 0.000 0.000 0.900
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.6341 0.4231 0.008 0.612 0.316 0.064
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.4496 0.7155 0.008 0.768 0.012 0.212
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.4456 0.6210 0.716 0.000 0.004 0.280
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.4428 0.6402 0.720 0.000 0.004 0.276
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.4746 0.6932 0.004 0.712 0.008 0.276
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.2149 0.8797 0.000 0.912 0.000 0.088
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.4253 0.7659 0.820 0.044 0.004 0.132
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.1867 0.8833 0.000 0.928 0.000 0.072
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.2281 0.8124 0.096 0.000 0.000 0.904
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.1661 0.8031 0.944 0.000 0.004 0.052
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.2149 0.8804 0.000 0.912 0.000 0.088
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.2335 0.7627 0.020 0.060 0.000 0.920
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.4331 0.6739 0.288 0.000 0.000 0.712
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.5113 0.5203 0.000 0.684 0.292 0.024
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.1867 0.8833 0.000 0.928 0.000 0.072
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.7325 0.4500 0.536 0.168 0.004 0.292
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.1822 0.8665 0.008 0.944 0.004 0.044
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.2469 0.7749 0.892 0.000 0.000 0.108
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0672 0.8829 0.000 0.984 0.008 0.008
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0524 0.8829 0.000 0.988 0.004 0.008
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.2149 0.8791 0.000 0.912 0.000 0.088
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.2921 0.8094 0.140 0.000 0.000 0.860
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.1732 0.8679 0.008 0.948 0.004 0.040
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.4991 0.4236 0.608 0.000 0.004 0.388
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.4916 0.2266 0.576 0.000 0.000 0.424
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.8032 1.000 0.000 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.3432 0.7032 0.004 0.140 0.008 0.848
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.2589 0.8107 0.116 0.000 0.000 0.884
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.1867 0.8833 0.000 0.928 0.000 0.072
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.1557 0.8864 0.000 0.944 0.000 0.056
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.4877 0.2885 0.592 0.000 0.000 0.408
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.0524 0.8823 0.000 0.988 0.004 0.008
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0336 0.8046 0.992 0.000 0.000 0.008
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0469 0.9567 0.000 0.012 0.988 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.3172 0.8023 0.160 0.000 0.000 0.840
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.2345 0.7840 0.900 0.000 0.000 0.100
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0469 0.8824 0.000 0.988 0.000 0.012
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.2647 0.8100 0.120 0.000 0.000 0.880
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.4925 0.2028 0.572 0.000 0.000 0.428
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.2921 0.8089 0.140 0.000 0.000 0.860
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.4579 0.5907 0.768 0.000 0.200 0.032
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.4477 0.6383 0.312 0.000 0.000 0.688
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0469 0.9567 0.000 0.012 0.988 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.3627 0.7182 0.840 0.008 0.008 0.144
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0672 0.8829 0.000 0.984 0.008 0.008
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.3123 0.8028 0.156 0.000 0.000 0.844
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 4 0.5546 0.1816 0.008 0.436 0.008 0.548
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.2149 0.8797 0.000 0.912 0.000 0.088
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.2921 0.8094 0.140 0.000 0.000 0.860
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.4776 0.6166 0.000 0.732 0.244 0.024
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.2345 0.8752 0.000 0.900 0.000 0.100
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.1867 0.8833 0.000 0.928 0.000 0.072
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.4992 0.0168 0.524 0.000 0.000 0.476
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.2345 0.8752 0.000 0.900 0.000 0.100
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.2345 0.8752 0.000 0.900 0.000 0.100
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.3544 0.7181 0.012 0.128 0.008 0.852
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.2345 0.8058 0.100 0.000 0.000 0.900
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.1557 0.8864 0.000 0.944 0.000 0.056
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0336 0.8046 0.992 0.000 0.000 0.008
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.4454 0.6418 0.308 0.000 0.000 0.692
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0469 0.9567 0.000 0.012 0.988 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.8032 1.000 0.000 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.1211 0.8015 0.960 0.000 0.000 0.040
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.2665 0.8431 0.008 0.900 0.004 0.088
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.4617 0.7134 0.000 0.764 0.204 0.032
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.2399 0.7979 0.048 0.032 0.000 0.920
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.2198 0.8849 0.000 0.920 0.008 0.072
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.3024 0.8068 0.148 0.000 0.000 0.852
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0376 0.8830 0.000 0.992 0.004 0.004
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0336 0.8046 0.992 0.000 0.000 0.008
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0336 0.8046 0.992 0.000 0.000 0.008
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.4830 0.3338 0.608 0.000 0.000 0.392
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.4632 0.6734 0.012 0.740 0.004 0.244
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.1492 0.8718 0.004 0.956 0.004 0.036
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 4 0.5168 0.1245 0.492 0.000 0.004 0.504
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.4304 0.6781 0.284 0.000 0.000 0.716
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.1822 0.8665 0.008 0.944 0.004 0.044
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0336 0.8046 0.992 0.000 0.000 0.008
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0336 0.8046 0.992 0.000 0.000 0.008
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.3355 0.7598 0.836 0.000 0.004 0.160
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0524 0.8823 0.000 0.988 0.004 0.008
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.2888 0.7701 0.872 0.000 0.004 0.124
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.6887 0.5874 0.660 0.184 0.032 0.124
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.3858 0.8011 0.116 0.036 0.004 0.844
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.3219 0.8006 0.164 0.000 0.000 0.836
#> 57787823-A815-4783-930C-A5752E48FFBA 4 0.5076 0.6140 0.024 0.260 0.004 0.712
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.1978 0.7989 0.928 0.000 0.004 0.068
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.3470 0.8137 0.008 0.852 0.008 0.132
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.4222 0.6949 0.272 0.000 0.000 0.728
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.3333 0.8575 0.000 0.872 0.040 0.088
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.2149 0.7956 0.912 0.000 0.000 0.088
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.4407 0.7111 0.008 0.768 0.008 0.216
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.2665 0.8431 0.008 0.900 0.004 0.088
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.2647 0.8093 0.120 0.000 0.000 0.880
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.3942 0.6492 0.764 0.000 0.000 0.236
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.3726 0.7275 0.212 0.000 0.000 0.788
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.4365 0.6987 0.812 0.028 0.012 0.148
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.2958 0.8091 0.116 0.004 0.004 0.876
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.4356 0.6678 0.292 0.000 0.000 0.708
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.2053 0.8841 0.000 0.924 0.004 0.072
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.1867 0.8833 0.000 0.928 0.000 0.072
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.2408 0.8742 0.000 0.896 0.000 0.104
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.3266 0.8048 0.084 0.040 0.000 0.876
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0336 0.8046 0.992 0.000 0.000 0.008
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.8032 1.000 0.000 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.2413 0.7660 0.924 0.036 0.004 0.036
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.4134 0.7150 0.260 0.000 0.000 0.740
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0592 0.8000 0.984 0.000 0.000 0.016
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0657 0.8824 0.000 0.984 0.004 0.012
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.1151 0.9457 0.000 0.008 0.968 0.024
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 4 0.4872 0.2729 0.004 0.356 0.000 0.640
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0336 0.8046 0.992 0.000 0.000 0.008
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0804 0.8820 0.000 0.980 0.008 0.012
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.4193 0.7027 0.268 0.000 0.000 0.732
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.4964 0.4387 0.616 0.000 0.004 0.380
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.4564 0.5910 0.000 0.672 0.000 0.328
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0469 0.9567 0.000 0.012 0.988 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.5923 0.4347 0.008 0.336 0.620 0.036
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.3351 0.8413 0.000 0.844 0.008 0.148
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.2665 0.7451 0.004 0.088 0.008 0.900
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.4459 0.6084 0.780 0.000 0.188 0.032
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.3528 0.6377 0.000 0.192 0.000 0.808
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.4746 0.4009 0.632 0.000 0.000 0.368
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0524 0.8822 0.000 0.988 0.004 0.008
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0592 0.8060 0.984 0.000 0.000 0.016
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0469 0.9567 0.000 0.012 0.988 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 4 0.5074 0.4863 0.008 0.332 0.004 0.656
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.2704 0.8119 0.124 0.000 0.000 0.876
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0524 0.8829 0.000 0.988 0.004 0.008
#> CC008807-7264-4593-966F-104992B35873 2 0.1590 0.8751 0.008 0.956 0.008 0.028
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0336 0.8046 0.992 0.000 0.000 0.008
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0336 0.8046 0.992 0.000 0.000 0.008
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.3123 0.8043 0.156 0.000 0.000 0.844
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.2647 0.8093 0.120 0.000 0.000 0.880
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.4776 0.4875 0.376 0.000 0.000 0.624
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.3172 0.8088 0.088 0.020 0.008 0.884
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.4605 0.6781 0.824 0.096 0.028 0.052
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.1557 0.8864 0.000 0.944 0.000 0.056
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.3893 0.6381 0.000 0.196 0.008 0.796
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0707 0.8063 0.980 0.000 0.000 0.020
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.4543 0.5115 0.676 0.000 0.000 0.324
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.3074 0.8056 0.152 0.000 0.000 0.848
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.5361 0.4914 0.636 0.016 0.004 0.344
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 5 0.2280 0.77324 0.000 0.120 0.000 0.000 0.880
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.5318 0.38673 0.004 0.460 0.000 0.496 0.040
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.5078 0.46066 0.004 0.424 0.000 0.544 0.028
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#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 5 0.4656 0.04177 0.000 0.480 0.000 0.012 0.508
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.5029 0.53515 0.000 0.292 0.000 0.648 0.060
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.3145 0.69756 0.868 0.060 0.064 0.008 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.5953 0.36174 0.000 0.384 0.000 0.504 0.112
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.3728 0.48352 0.244 0.008 0.000 0.748 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 5 0.4595 0.32980 0.000 0.488 0.004 0.004 0.504
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0609 0.78052 0.980 0.000 0.000 0.020 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0162 0.98601 0.000 0.000 0.996 0.000 0.004
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.4496 0.43642 0.000 0.724 0.004 0.232 0.040
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.4806 0.55196 0.012 0.336 0.000 0.636 0.016
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 5 0.4118 0.62927 0.000 0.336 0.004 0.000 0.660
#> CC008807-7264-4593-966F-104992B35873 5 0.4591 0.41542 0.000 0.476 0.004 0.004 0.516
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.77766 1.000 0.000 0.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.77766 1.000 0.000 0.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.1082 0.66972 0.028 0.000 0.000 0.964 0.008
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.4688 0.52921 0.004 0.364 0.000 0.616 0.016
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.2389 0.62563 0.116 0.004 0.000 0.880 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.5262 0.48139 0.012 0.408 0.000 0.552 0.028
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.6718 0.38061 0.492 0.368 0.012 0.112 0.016
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 5 0.1965 0.77708 0.000 0.096 0.000 0.000 0.904
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.5959 0.38821 0.000 0.388 0.000 0.500 0.112
#> 67E92530-3B19-424C-B219-958A88909046 1 0.2110 0.77598 0.912 0.016 0.000 0.072 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.6341 0.11417 0.256 0.220 0.000 0.524 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.4434 0.61541 0.020 0.248 0.000 0.720 0.012
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.6489 0.11623 0.240 0.268 0.000 0.492 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 5 0.3109 0.7222 0.004 0.168 0.000 0.000 0.812 0.016
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 6 0.3770 0.5804 0.000 0.076 0.000 0.148 0.000 0.776
#> B626F298-622E-4C4F-8217-71D1234A6670 6 0.4056 0.5662 0.004 0.064 0.000 0.184 0.000 0.748
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.3453 0.6981 0.004 0.180 0.000 0.000 0.788 0.028
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.6222 0.2074 0.000 0.192 0.000 0.492 0.024 0.292
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 6 0.4955 -0.1436 0.000 0.420 0.000 0.004 0.056 0.520
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.0972 0.8201 0.000 0.000 0.000 0.028 0.964 0.008
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 6 0.3794 0.5674 0.000 0.040 0.000 0.216 0.000 0.744
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.2202 0.7083 0.012 0.028 0.000 0.908 0.000 0.052
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 6 0.3566 0.5737 0.000 0.020 0.000 0.236 0.000 0.744
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.5776 0.4323 0.156 0.020 0.000 0.572 0.000 0.252
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.9634 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.3758 0.6324 0.816 0.076 0.040 0.000 0.000 0.068
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.3758 0.6324 0.816 0.076 0.040 0.000 0.000 0.068
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0547 0.7775 0.980 0.000 0.000 0.020 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 5 0.4338 0.0518 0.004 0.420 0.000 0.000 0.560 0.016
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.1313 0.8174 0.000 0.004 0.000 0.028 0.952 0.016
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 6 0.5819 0.0215 0.440 0.048 0.000 0.064 0.000 0.448
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.4903 0.2583 0.000 0.524 0.000 0.008 0.044 0.424
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.5543 0.5463 0.000 0.556 0.000 0.000 0.204 0.240
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.5071 0.3765 0.000 0.520 0.000 0.000 0.080 0.400
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0146 0.9634 0.000 0.000 0.996 0.000 0.000 0.004
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 6 0.6849 0.1542 0.332 0.144 0.000 0.092 0.000 0.432
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.5903 -0.0737 0.000 0.396 0.000 0.400 0.000 0.204
#> 482285EC-BA43-441D-9986-7937B61A81D1 5 0.3109 0.7222 0.004 0.168 0.000 0.000 0.812 0.016
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.4464 0.5078 0.036 0.012 0.000 0.668 0.000 0.284
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.1116 0.8191 0.000 0.004 0.000 0.028 0.960 0.008
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.3141 0.6461 0.000 0.048 0.000 0.836 0.004 0.112
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.3783 0.8397 0.008 0.160 0.788 0.008 0.000 0.036
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.4505 0.6617 0.732 0.016 0.000 0.092 0.000 0.160
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0146 0.9634 0.000 0.000 0.996 0.000 0.000 0.004
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 6 0.4596 0.5750 0.064 0.040 0.000 0.160 0.000 0.736
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.1938 0.7037 0.016 0.028 0.000 0.928 0.004 0.024
#> AA838488-4A13-4998-B261-91590113F37D 1 0.3360 0.7490 0.844 0.060 0.000 0.040 0.000 0.056
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 6 0.4973 0.4814 0.064 0.220 0.000 0.036 0.000 0.680
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 6 0.4661 0.5494 0.000 0.028 0.000 0.104 0.136 0.732
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.5937 0.4403 0.548 0.020 0.000 0.180 0.000 0.252
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 6 0.4254 0.4097 0.004 0.020 0.000 0.352 0.000 0.624
#> C6D88493-258C-481E-B3A4-75DA86C25C43 6 0.4438 0.5826 0.024 0.076 0.000 0.156 0.000 0.744
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.3370 0.6178 0.000 0.048 0.000 0.804 0.000 0.148
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.5159 0.4500 0.008 0.744 0.104 0.032 0.044 0.068
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.4228 0.4409 0.000 0.656 0.000 0.008 0.020 0.316
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 6 0.5528 0.4416 0.248 0.040 0.000 0.092 0.000 0.620
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 6 0.6200 0.4658 0.196 0.140 0.000 0.080 0.000 0.584
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 6 0.5644 0.1468 0.000 0.344 0.000 0.048 0.060 0.548
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 5 0.0891 0.8205 0.000 0.000 0.000 0.024 0.968 0.008
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 2 0.7320 -0.0488 0.292 0.388 0.000 0.144 0.000 0.176
#> 081452CB-9401-4678-9BA2-431CB2ECF105 5 0.0520 0.8195 0.000 0.008 0.000 0.000 0.984 0.008
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.3283 0.6243 0.000 0.036 0.000 0.804 0.000 0.160
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 6 0.6132 0.0521 0.392 0.056 0.000 0.088 0.000 0.464
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 5 0.3435 0.7102 0.000 0.024 0.000 0.028 0.820 0.128
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.3202 0.6476 0.000 0.028 0.000 0.844 0.100 0.028
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.2145 0.7150 0.028 0.000 0.000 0.900 0.000 0.072
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.5827 0.3733 0.008 0.624 0.104 0.008 0.228 0.028
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 5 0.0622 0.8198 0.000 0.012 0.000 0.000 0.980 0.008
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 2 0.5879 -0.0880 0.044 0.472 0.000 0.408 0.000 0.076
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.5117 0.4361 0.000 0.548 0.000 0.000 0.092 0.360
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.5971 0.4254 0.540 0.020 0.000 0.180 0.000 0.260
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.4517 0.1583 0.004 0.528 0.000 0.000 0.444 0.024
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.4446 0.1618 0.004 0.532 0.000 0.000 0.444 0.020
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 5 0.2026 0.8198 0.004 0.028 0.000 0.024 0.924 0.020
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.3238 0.6758 0.012 0.036 0.000 0.832 0.000 0.120
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.5464 0.5435 0.000 0.564 0.000 0.000 0.176 0.260
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 6 0.5563 0.5339 0.136 0.140 0.000 0.064 0.000 0.660
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.3904 0.6708 0.096 0.008 0.000 0.784 0.000 0.112
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0547 0.7775 0.980 0.000 0.000 0.020 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.6223 0.1758 0.000 0.188 0.000 0.488 0.024 0.300
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 6 0.3329 0.5804 0.004 0.008 0.000 0.220 0.000 0.768
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 5 0.0767 0.8187 0.004 0.012 0.000 0.000 0.976 0.008
#> 15532795-F8EC-4460-9972-82EC355E3B06 5 0.2356 0.7758 0.004 0.096 0.000 0.000 0.884 0.016
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.3960 0.6646 0.072 0.060 0.000 0.804 0.000 0.064
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.4551 0.5134 0.000 0.696 0.000 0.008 0.224 0.072
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.4575 0.6575 0.716 0.020 0.000 0.196 0.000 0.068
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.9634 0.000 0.000 1.000 0.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 6 0.4379 0.5022 0.024 0.016 0.000 0.292 0.000 0.668
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.5724 0.4294 0.560 0.020 0.000 0.128 0.000 0.292
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 5 0.4850 -0.1535 0.000 0.448 0.000 0.000 0.496 0.056
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 6 0.3512 0.5453 0.008 0.000 0.000 0.272 0.000 0.720
#> 3E070741-BBA0-4806-8D74-08595E249252 6 0.5691 0.4351 0.200 0.016 0.000 0.196 0.000 0.588
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 6 0.3863 0.5614 0.008 0.020 0.000 0.244 0.000 0.728
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.5028 0.5416 0.724 0.148 0.040 0.016 0.000 0.072
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.4632 0.5479 0.060 0.012 0.000 0.680 0.000 0.248
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.9634 0.000 0.000 1.000 0.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.5231 0.3813 0.616 0.116 0.000 0.008 0.000 0.260
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.4759 0.2487 0.000 0.556 0.000 0.004 0.396 0.044
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.4454 0.5900 0.012 0.084 0.000 0.728 0.000 0.176
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.4825 0.2552 0.000 0.560 0.000 0.036 0.012 0.392
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 5 0.0891 0.8205 0.000 0.000 0.000 0.024 0.968 0.008
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.4214 0.4918 0.004 0.024 0.000 0.652 0.000 0.320
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.5243 0.3681 0.000 0.652 0.064 0.008 0.248 0.028
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 5 0.1116 0.8191 0.000 0.004 0.000 0.028 0.960 0.008
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 5 0.0582 0.8209 0.004 0.004 0.000 0.004 0.984 0.004
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.3419 0.6840 0.096 0.008 0.000 0.824 0.000 0.072
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 5 0.1313 0.8174 0.000 0.004 0.000 0.028 0.952 0.016
#> F7B2E263-F0AE-440E-96C5-139233079A06 5 0.0972 0.8201 0.000 0.000 0.000 0.028 0.964 0.008
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 6 0.5503 0.4197 0.000 0.176 0.000 0.220 0.008 0.596
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.1679 0.7029 0.008 0.028 0.000 0.936 0.000 0.028
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 5 0.2356 0.7758 0.004 0.096 0.000 0.000 0.884 0.016
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0870 0.7678 0.972 0.012 0.000 0.012 0.000 0.004
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.2245 0.7184 0.036 0.016 0.000 0.908 0.000 0.040
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0146 0.9634 0.000 0.000 0.996 0.000 0.000 0.004
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0458 0.7761 0.984 0.000 0.000 0.016 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.5642 0.0677 0.456 0.024 0.000 0.080 0.000 0.440
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 6 0.4987 0.1234 0.000 0.328 0.000 0.000 0.088 0.584
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.3679 0.6491 0.000 0.024 0.192 0.000 0.772 0.012
#> 8B23AB23-8931-42CA-972D-1528D44BF218 6 0.4623 0.4982 0.000 0.068 0.000 0.264 0.004 0.664
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 5 0.3317 0.7213 0.004 0.156 0.000 0.000 0.808 0.032
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.2322 0.7035 0.008 0.024 0.000 0.896 0.000 0.072
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.4381 0.1515 0.004 0.524 0.000 0.000 0.456 0.016
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0547 0.7775 0.980 0.000 0.000 0.020 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0547 0.7775 0.980 0.000 0.000 0.020 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.3817 0.6670 0.104 0.012 0.000 0.796 0.000 0.088
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 6 0.4959 0.2252 0.004 0.308 0.000 0.008 0.060 0.620
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.5572 0.5087 0.000 0.544 0.000 0.000 0.268 0.188
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 6 0.6297 0.2826 0.344 0.048 0.000 0.128 0.000 0.480
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.1933 0.7184 0.032 0.004 0.000 0.920 0.000 0.044
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.5045 0.4329 0.000 0.552 0.000 0.000 0.084 0.364
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.1980 0.7710 0.920 0.016 0.000 0.048 0.000 0.016
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.4129 0.6777 0.744 0.020 0.000 0.200 0.000 0.036
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 6 0.5997 0.4535 0.208 0.104 0.000 0.084 0.000 0.604
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.4421 0.2204 0.004 0.552 0.000 0.000 0.424 0.020
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 6 0.7223 0.1255 0.308 0.116 0.000 0.188 0.000 0.388
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 2 0.7290 0.0398 0.272 0.444 0.000 0.160 0.012 0.112
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 6 0.4771 0.5702 0.000 0.144 0.000 0.164 0.004 0.688
#> C7698440-CD13-438F-A60F-063D94C9ECAD 6 0.4155 0.4826 0.012 0.012 0.000 0.316 0.000 0.660
#> 57787823-A815-4783-930C-A5752E48FFBA 6 0.4963 0.2852 0.000 0.296 0.000 0.032 0.040 0.632
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 6 0.6633 0.1981 0.332 0.128 0.000 0.080 0.000 0.460
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.3346 0.5570 0.000 0.816 0.000 0.008 0.036 0.140
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.4171 0.5878 0.040 0.008 0.000 0.716 0.000 0.236
#> 08C4C14A-94A8-4063-BBC3-916579960078 5 0.1426 0.8156 0.000 0.008 0.000 0.028 0.948 0.016
#> B11753A0-829F-4913-B894-F07A53FF1C92 6 0.5693 0.0820 0.400 0.024 0.000 0.088 0.000 0.488
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.4900 0.4215 0.000 0.576 0.000 0.008 0.052 0.364
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 6 0.5021 0.1564 0.000 0.324 0.000 0.004 0.080 0.592
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 6 0.3592 0.5743 0.000 0.020 0.000 0.240 0.000 0.740
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.5669 0.4782 0.192 0.020 0.000 0.600 0.000 0.188
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.1874 0.7049 0.016 0.028 0.000 0.928 0.000 0.028
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.5306 0.3490 0.596 0.132 0.000 0.004 0.000 0.268
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 6 0.4645 0.5485 0.000 0.076 0.000 0.276 0.000 0.648
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.1857 0.7192 0.028 0.012 0.000 0.928 0.000 0.032
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 5 0.0520 0.8199 0.000 0.008 0.000 0.000 0.984 0.008
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 5 0.1194 0.8125 0.004 0.032 0.000 0.000 0.956 0.008
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 5 0.1857 0.7992 0.000 0.012 0.000 0.028 0.928 0.032
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 6 0.3402 0.6017 0.004 0.012 0.000 0.172 0.012 0.800
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0870 0.7678 0.972 0.012 0.000 0.012 0.000 0.004
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0458 0.7761 0.984 0.000 0.000 0.016 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.4291 0.6858 0.764 0.132 0.000 0.028 0.000 0.076
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.5310 0.1613 0.064 0.016 0.000 0.508 0.000 0.412
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.5722 0.5833 0.644 0.092 0.000 0.092 0.000 0.172
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 5 0.4523 -0.1089 0.000 0.452 0.000 0.000 0.516 0.032
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.3635 0.8516 0.008 0.144 0.804 0.008 0.000 0.036
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 6 0.4085 0.5813 0.000 0.028 0.000 0.076 0.112 0.784
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0603 0.7748 0.980 0.004 0.000 0.016 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.4845 0.3787 0.000 0.604 0.000 0.004 0.328 0.064
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.1909 0.7180 0.024 0.004 0.000 0.920 0.000 0.052
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 6 0.5428 0.5552 0.140 0.116 0.000 0.068 0.000 0.676
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.3351 0.6957 0.000 0.016 0.000 0.048 0.832 0.104
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.9634 0.000 0.000 1.000 0.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.5390 0.2906 0.008 0.652 0.248 0.008 0.032 0.052
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 5 0.6360 -0.0430 0.000 0.232 0.000 0.016 0.396 0.356
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.5988 0.2188 0.000 0.188 0.000 0.504 0.012 0.296
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.3758 0.6324 0.816 0.076 0.040 0.000 0.000 0.068
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 6 0.4689 0.5715 0.000 0.032 0.000 0.196 0.060 0.712
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.3825 0.6613 0.128 0.008 0.000 0.788 0.000 0.076
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.5383 0.5224 0.000 0.580 0.000 0.000 0.248 0.172
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.2968 0.7407 0.852 0.004 0.000 0.052 0.000 0.092
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0146 0.9634 0.000 0.000 0.996 0.000 0.000 0.004
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.5454 0.1391 0.000 0.480 0.000 0.084 0.012 0.424
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 6 0.3290 0.5590 0.004 0.000 0.000 0.252 0.000 0.744
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.4450 0.1531 0.004 0.528 0.000 0.000 0.448 0.020
#> CC008807-7264-4593-966F-104992B35873 2 0.4924 0.4598 0.000 0.636 0.000 0.004 0.268 0.092
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0692 0.7775 0.976 0.004 0.000 0.020 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0547 0.7775 0.980 0.000 0.000 0.020 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.3359 0.6482 0.012 0.008 0.000 0.784 0.000 0.196
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 6 0.4294 0.5833 0.000 0.060 0.000 0.248 0.000 0.692
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.2231 0.7141 0.048 0.016 0.000 0.908 0.000 0.028
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 6 0.4778 0.5132 0.004 0.116 0.000 0.200 0.000 0.680
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 2 0.6449 -0.0109 0.312 0.492 0.000 0.132 0.000 0.064
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 5 0.2356 0.7758 0.004 0.096 0.000 0.000 0.884 0.016
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 6 0.6872 0.2815 0.000 0.184 0.000 0.240 0.096 0.480
#> 67E92530-3B19-424C-B219-958A88909046 1 0.4840 0.6031 0.688 0.016 0.000 0.092 0.000 0.204
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.5814 0.4957 0.084 0.220 0.000 0.616 0.000 0.080
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 6 0.4845 0.2839 0.008 0.044 0.000 0.388 0.000 0.560
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.6425 0.3917 0.084 0.212 0.000 0.552 0.000 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["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 17604 rows and 183 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 0.954 0.936 0.974 0.5009 0.500 0.500
#> 3 3 0.684 0.837 0.880 0.2654 0.808 0.640
#> 4 4 0.867 0.854 0.925 0.1596 0.809 0.539
#> 5 5 0.740 0.581 0.797 0.0718 0.862 0.543
#> 6 6 0.794 0.688 0.852 0.0526 0.894 0.557
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.973 0.000 1.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.7299 0.745 0.204 0.796
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.9896 0.204 0.560 0.440
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.973 0.000 1.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.0000 0.973 0.000 1.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0000 0.973 0.000 1.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.973 0.000 1.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.0000 0.972 1.000 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.972 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.9970 0.121 0.468 0.532
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.972 1.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.0000 0.973 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.972 1.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.972 1.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.972 1.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0000 0.973 0.000 1.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.0000 0.973 0.000 1.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 0.972 1.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.0000 0.973 0.000 1.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0000 0.973 0.000 1.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0000 0.973 0.000 1.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.0000 0.973 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.972 1.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.9608 0.364 0.384 0.616
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.973 0.000 1.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.972 1.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0000 0.973 0.000 1.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.1184 0.959 0.984 0.016
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.2603 0.935 0.044 0.956
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.972 1.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.0000 0.973 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 0.972 1.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.3733 0.906 0.928 0.072
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 0.972 1.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.0000 0.972 1.000 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.5178 0.863 0.116 0.884
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.972 1.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0000 0.972 1.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.0000 0.972 1.000 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.0000 0.972 1.000 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.0000 0.973 0.000 1.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.0000 0.973 0.000 1.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.972 1.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0000 0.972 1.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.0000 0.973 0.000 1.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.973 0.000 1.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.2778 0.929 0.952 0.048
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0000 0.973 0.000 1.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.0000 0.972 1.000 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.972 1.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.0000 0.973 0.000 1.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 2 0.9580 0.374 0.380 0.620
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.972 1.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.0000 0.973 0.000 1.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.973 0.000 1.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.7219 0.748 0.800 0.200
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0000 0.973 0.000 1.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.972 1.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.973 0.000 1.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.973 0.000 1.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0000 0.973 0.000 1.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0000 0.972 1.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0000 0.973 0.000 1.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0000 0.972 1.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.972 1.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.972 1.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.4022 0.902 0.080 0.920
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.0000 0.972 1.000 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0000 0.973 0.000 1.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.973 0.000 1.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.972 1.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.0000 0.973 0.000 1.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.972 1.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.0000 0.973 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.972 1.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.972 1.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0000 0.973 0.000 1.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0000 0.972 1.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.972 1.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.0000 0.972 1.000 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.972 1.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.972 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.0000 0.973 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.0000 0.972 1.000 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0000 0.973 0.000 1.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.972 1.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.0000 0.973 0.000 1.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0000 0.973 0.000 1.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0000 0.972 1.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.0000 0.973 0.000 1.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0000 0.973 0.000 1.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.973 0.000 1.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.972 1.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0000 0.973 0.000 1.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0000 0.973 0.000 1.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.4022 0.902 0.080 0.920
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0000 0.972 1.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.973 0.000 1.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.972 1.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.972 1.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 2 0.0000 0.973 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.972 1.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.972 1.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0000 0.973 0.000 1.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0000 0.973 0.000 1.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.9358 0.449 0.648 0.352
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.973 0.000 1.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0000 0.972 1.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.973 0.000 1.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.972 1.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.972 1.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.972 1.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.1633 0.954 0.024 0.976
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0000 0.973 0.000 1.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0000 0.972 1.000 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.972 1.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0000 0.973 0.000 1.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.972 1.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0000 0.972 1.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.972 1.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.973 0.000 1.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.972 1.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.9795 0.294 0.584 0.416
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.5178 0.857 0.884 0.116
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.0000 0.972 1.000 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.0000 0.973 0.000 1.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0000 0.972 1.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.0000 0.973 0.000 1.000
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.972 1.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.0000 0.973 0.000 1.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.972 1.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0000 0.973 0.000 1.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.0376 0.970 0.004 0.996
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.0000 0.972 1.000 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.972 1.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.1414 0.956 0.980 0.020
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.6973 0.757 0.812 0.188
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.2603 0.933 0.956 0.044
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.972 1.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0000 0.973 0.000 1.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.973 0.000 1.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.0000 0.973 0.000 1.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.9909 0.191 0.556 0.444
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.972 1.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.972 1.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.0672 0.966 0.992 0.008
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.972 1.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 0.972 1.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0000 0.973 0.000 1.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.0000 0.973 0.000 1.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.4161 0.899 0.084 0.916
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.972 1.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0000 0.973 0.000 1.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.972 1.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.0000 0.972 1.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.1184 0.961 0.016 0.984
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.0000 0.973 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.0000 0.973 0.000 1.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0000 0.973 0.000 1.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.6801 0.779 0.180 0.820
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.972 1.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.1184 0.961 0.016 0.984
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.972 1.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0000 0.973 0.000 1.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.972 1.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.0000 0.973 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.0000 0.973 0.000 1.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.0000 0.972 1.000 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.973 0.000 1.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0000 0.973 0.000 1.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.972 1.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.972 1.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.972 1.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.0000 0.972 1.000 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0000 0.972 1.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.0000 0.972 1.000 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.7219 0.748 0.800 0.200
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.973 0.000 1.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.3274 0.922 0.060 0.940
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.972 1.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.972 1.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.972 1.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0000 0.972 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0747 0.893 0.000 0.984 0.016
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.4883 0.751 0.208 0.788 0.004
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.5201 0.722 0.236 0.760 0.004
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0747 0.893 0.000 0.984 0.016
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.4629 0.763 0.188 0.808 0.004
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.1411 0.893 0.000 0.964 0.036
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.893 0.000 1.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.0983 0.846 0.980 0.016 0.004
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0983 0.846 0.980 0.016 0.004
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.5285 0.714 0.244 0.752 0.004
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.4399 0.887 0.812 0.000 0.188
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.4654 0.853 0.000 0.208 0.792
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 3 0.1529 0.738 0.040 0.000 0.960
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 3 0.1529 0.738 0.040 0.000 0.960
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.4702 0.879 0.788 0.000 0.212
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.1411 0.893 0.000 0.964 0.036
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.0000 0.893 0.000 1.000 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.4399 0.887 0.812 0.000 0.188
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.1529 0.893 0.000 0.960 0.040
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.1411 0.893 0.000 0.964 0.036
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.1411 0.893 0.000 0.964 0.036
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.4654 0.853 0.000 0.208 0.792
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.4702 0.879 0.788 0.000 0.212
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.7710 0.476 0.240 0.660 0.100
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0747 0.893 0.000 0.984 0.016
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.856 1.000 0.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0000 0.893 0.000 1.000 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.3349 0.757 0.888 0.108 0.004
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.4346 0.853 0.000 0.184 0.816
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.4399 0.887 0.812 0.000 0.188
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.4654 0.853 0.000 0.208 0.792
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.4399 0.887 0.812 0.000 0.188
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.4563 0.735 0.852 0.036 0.112
#> AA838488-4A13-4998-B261-91590113F37D 1 0.4750 0.877 0.784 0.000 0.216
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.7157 0.805 0.712 0.100 0.188
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.4629 0.763 0.188 0.808 0.004
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.4399 0.887 0.812 0.000 0.188
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0983 0.846 0.980 0.016 0.004
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.3941 0.887 0.844 0.000 0.156
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.1765 0.829 0.956 0.040 0.004
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.4452 0.851 0.000 0.192 0.808
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.1411 0.893 0.000 0.964 0.036
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.4399 0.887 0.812 0.000 0.188
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.4399 0.887 0.812 0.000 0.188
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.0237 0.891 0.000 0.996 0.004
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.893 0.000 1.000 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 3 0.0237 0.766 0.004 0.000 0.996
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0747 0.893 0.000 0.984 0.016
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.4293 0.675 0.832 0.164 0.004
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.4702 0.879 0.788 0.000 0.212
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.0000 0.893 0.000 1.000 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 2 0.6451 0.408 0.436 0.560 0.004
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.856 1.000 0.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.4796 0.831 0.000 0.220 0.780
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0747 0.893 0.000 0.984 0.016
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 3 0.4293 0.850 0.004 0.164 0.832
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.1411 0.893 0.000 0.964 0.036
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.4399 0.887 0.812 0.000 0.188
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.1411 0.893 0.000 0.964 0.036
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.1411 0.893 0.000 0.964 0.036
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0000 0.893 0.000 1.000 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0983 0.846 0.980 0.016 0.004
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.1411 0.893 0.000 0.964 0.036
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.4399 0.887 0.812 0.000 0.188
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.4291 0.887 0.820 0.000 0.180
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.4750 0.877 0.784 0.000 0.216
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.4682 0.760 0.192 0.804 0.004
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.0983 0.846 0.980 0.016 0.004
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0000 0.893 0.000 1.000 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0747 0.893 0.000 0.984 0.016
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.4452 0.886 0.808 0.000 0.192
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 3 0.6299 0.331 0.000 0.476 0.524
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.4750 0.877 0.784 0.000 0.216
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.4654 0.853 0.000 0.208 0.792
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.856 1.000 0.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.4605 0.882 0.796 0.000 0.204
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.1411 0.893 0.000 0.964 0.036
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0237 0.855 0.996 0.000 0.004
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.4399 0.887 0.812 0.000 0.188
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.1529 0.868 0.960 0.000 0.040
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 3 0.1529 0.738 0.040 0.000 0.960
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0424 0.859 0.992 0.000 0.008
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.4654 0.853 0.000 0.208 0.792
#> 25652859-77A4-43A3-8C72-B78E7F165924 3 0.5760 0.133 0.328 0.000 0.672
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.1411 0.893 0.000 0.964 0.036
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.2878 0.880 0.904 0.000 0.096
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 3 0.4750 0.835 0.000 0.216 0.784
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0000 0.893 0.000 1.000 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0983 0.846 0.980 0.016 0.004
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 3 0.4796 0.831 0.000 0.220 0.780
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0000 0.893 0.000 1.000 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0747 0.893 0.000 0.984 0.016
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0892 0.863 0.980 0.000 0.020
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0000 0.893 0.000 1.000 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0000 0.893 0.000 1.000 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.4682 0.760 0.192 0.804 0.004
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.1647 0.832 0.960 0.036 0.004
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0747 0.893 0.000 0.984 0.016
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.4750 0.877 0.784 0.000 0.216
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.856 1.000 0.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.4654 0.853 0.000 0.208 0.792
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.4750 0.877 0.784 0.000 0.216
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.4399 0.887 0.812 0.000 0.188
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.1411 0.893 0.000 0.964 0.036
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 3 0.5882 0.678 0.000 0.348 0.652
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.5201 0.722 0.236 0.760 0.004
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.893 0.000 1.000 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0237 0.855 0.996 0.000 0.004
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.1411 0.893 0.000 0.964 0.036
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.4555 0.884 0.800 0.000 0.200
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.4750 0.877 0.784 0.000 0.216
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.3816 0.887 0.852 0.000 0.148
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.4504 0.738 0.000 0.804 0.196
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.1411 0.893 0.000 0.964 0.036
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.4235 0.887 0.824 0.000 0.176
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.856 1.000 0.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.1411 0.893 0.000 0.964 0.036
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.4750 0.877 0.784 0.000 0.216
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.4750 0.877 0.784 0.000 0.216
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.4504 0.885 0.804 0.000 0.196
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.1411 0.893 0.000 0.964 0.036
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.5706 0.773 0.680 0.000 0.320
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.4409 0.852 0.004 0.172 0.824
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.6372 0.739 0.152 0.764 0.084
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.1964 0.872 0.944 0.000 0.056
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.1529 0.891 0.000 0.960 0.040
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.4750 0.877 0.784 0.000 0.216
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 3 0.4796 0.831 0.000 0.220 0.780
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.856 1.000 0.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.0000 0.893 0.000 1.000 0.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.4399 0.887 0.812 0.000 0.188
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.1411 0.893 0.000 0.964 0.036
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.1964 0.884 0.000 0.944 0.056
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.0983 0.846 0.980 0.016 0.004
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.4399 0.887 0.812 0.000 0.188
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.4413 0.745 0.860 0.036 0.104
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 3 0.2796 0.681 0.092 0.000 0.908
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 2 0.6509 0.334 0.472 0.524 0.004
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.856 1.000 0.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.1163 0.894 0.000 0.972 0.028
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0747 0.893 0.000 0.984 0.016
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.4351 0.778 0.168 0.828 0.004
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.5244 0.719 0.240 0.756 0.004
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.4750 0.877 0.784 0.000 0.216
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.4750 0.877 0.784 0.000 0.216
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 3 0.0892 0.754 0.020 0.000 0.980
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.856 1.000 0.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.4750 0.877 0.784 0.000 0.216
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.1411 0.893 0.000 0.964 0.036
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.4452 0.851 0.000 0.192 0.808
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.4521 0.769 0.180 0.816 0.004
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.4750 0.877 0.784 0.000 0.216
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.1411 0.893 0.000 0.964 0.036
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.856 1.000 0.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.4399 0.887 0.812 0.000 0.188
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.4575 0.766 0.184 0.812 0.004
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.4654 0.853 0.000 0.208 0.792
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.4452 0.851 0.000 0.192 0.808
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0237 0.891 0.000 0.996 0.004
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.4682 0.760 0.192 0.804 0.004
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 3 0.1529 0.738 0.040 0.000 0.960
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.4575 0.766 0.184 0.812 0.004
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.3551 0.885 0.868 0.000 0.132
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.1411 0.893 0.000 0.964 0.036
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.4399 0.887 0.812 0.000 0.188
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.4654 0.853 0.000 0.208 0.792
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.1529 0.893 0.000 0.960 0.040
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.0983 0.846 0.980 0.016 0.004
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.1411 0.893 0.000 0.964 0.036
#> CC008807-7264-4593-966F-104992B35873 2 0.1411 0.893 0.000 0.964 0.036
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.4750 0.877 0.784 0.000 0.216
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.4702 0.879 0.788 0.000 0.212
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0237 0.855 0.996 0.000 0.004
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.0829 0.848 0.984 0.012 0.004
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.2200 0.843 0.940 0.004 0.056
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.2496 0.803 0.928 0.068 0.004
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.3918 0.842 0.004 0.140 0.856
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0747 0.893 0.000 0.984 0.016
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.4629 0.763 0.188 0.808 0.004
#> 67E92530-3B19-424C-B219-958A88909046 1 0.4399 0.887 0.812 0.000 0.188
#> 548F421F-046B-4209-9B20-1A6F32424738 3 0.2959 0.668 0.100 0.000 0.900
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0237 0.855 0.996 0.000 0.004
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.5098 0.858 0.752 0.000 0.248
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.92699 0.000 1.000 0.000 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.3569 0.70039 0.000 0.196 0.000 0.804
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.0336 0.89691 0.000 0.008 0.000 0.992
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.92699 0.000 1.000 0.000 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.0188 0.89765 0.000 0.004 0.000 0.996
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.2216 0.92660 0.000 0.908 0.092 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0188 0.92659 0.000 0.996 0.000 0.004
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.0188 0.89765 0.000 0.004 0.000 0.996
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.0921 0.90142 0.028 0.000 0.000 0.972
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.0817 0.89161 0.000 0.024 0.000 0.976
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0707 0.91344 0.980 0.000 0.000 0.020
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.2011 0.89498 0.000 0.080 0.920 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.4933 0.20183 0.568 0.000 0.432 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 3 0.5000 -0.00242 0.496 0.000 0.504 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.2401 0.92673 0.000 0.904 0.092 0.004
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.0188 0.92659 0.000 0.996 0.000 0.004
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.1022 0.90408 0.968 0.000 0.000 0.032
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.3149 0.91346 0.000 0.880 0.088 0.032
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.2216 0.92660 0.000 0.908 0.092 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.2216 0.92660 0.000 0.908 0.092 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.2011 0.89498 0.000 0.080 0.920 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.7173 -0.13353 0.004 0.440 0.116 0.440
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.92699 0.000 1.000 0.000 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.2011 0.88200 0.080 0.000 0.000 0.920
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0188 0.92659 0.000 0.996 0.000 0.004
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.0000 0.89787 0.000 0.000 0.000 1.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 0.89816 0.000 0.000 1.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.2011 0.89498 0.000 0.080 0.920 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.1118 0.89987 0.036 0.000 0.000 0.964
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.1902 0.87378 0.932 0.004 0.000 0.064
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.3074 0.81570 0.000 0.848 0.000 0.152
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.0921 0.90142 0.028 0.000 0.000 0.972
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.4855 0.42892 0.352 0.004 0.000 0.644
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.0000 0.89787 0.000 0.000 0.000 1.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.0000 0.89816 0.000 0.000 1.000 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.3015 0.91616 0.000 0.884 0.092 0.024
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.3247 0.90197 0.000 0.880 0.060 0.060
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0188 0.92659 0.000 0.996 0.000 0.004
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 3 0.2530 0.82572 0.112 0.000 0.888 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0188 0.92659 0.000 0.996 0.000 0.004
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.0000 0.89787 0.000 0.000 0.000 1.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.1978 0.87900 0.000 0.928 0.068 0.004
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.2335 0.87322 0.020 0.060 0.000 0.920
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.1792 0.88823 0.068 0.000 0.000 0.932
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.0188 0.89758 0.000 0.004 0.996 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.92699 0.000 1.000 0.000 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 3 0.0000 0.89816 0.000 0.000 1.000 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.2216 0.92660 0.000 0.908 0.092 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.2149 0.92731 0.000 0.912 0.088 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.2216 0.92660 0.000 0.908 0.092 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0188 0.92659 0.000 0.996 0.000 0.004
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.0921 0.90142 0.028 0.000 0.000 0.972
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.2216 0.92660 0.000 0.908 0.092 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.4624 0.46502 0.660 0.000 0.000 0.340
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.0336 0.89691 0.000 0.008 0.000 0.992
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.0707 0.90075 0.020 0.000 0.000 0.980
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0188 0.92659 0.000 0.996 0.000 0.004
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.92699 0.000 1.000 0.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.4356 0.56606 0.708 0.000 0.000 0.292
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 3 0.3649 0.69500 0.000 0.204 0.796 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.2011 0.89498 0.000 0.080 0.920 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.2921 0.83531 0.140 0.000 0.000 0.860
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.1109 0.92981 0.000 0.968 0.028 0.004
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.0921 0.90142 0.028 0.000 0.000 0.972
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.4998 0.13544 0.488 0.000 0.000 0.512
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 3 0.2216 0.84648 0.092 0.000 0.908 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.3975 0.71180 0.240 0.000 0.000 0.760
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.2011 0.89498 0.000 0.080 0.920 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.1004 0.90672 0.972 0.004 0.000 0.024
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.2796 0.92071 0.000 0.892 0.092 0.016
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.3913 0.81127 0.148 0.000 0.028 0.824
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 3 0.3421 0.82867 0.000 0.088 0.868 0.044
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0188 0.92659 0.000 0.996 0.000 0.004
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.0921 0.90142 0.028 0.000 0.000 0.972
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 3 0.0336 0.89657 0.000 0.008 0.992 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0188 0.92659 0.000 0.996 0.000 0.004
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0188 0.92659 0.000 0.996 0.000 0.004
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.4985 0.06308 0.532 0.000 0.000 0.468
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.2266 0.86374 0.000 0.912 0.084 0.004
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0188 0.92659 0.000 0.996 0.000 0.004
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.0336 0.89691 0.000 0.008 0.000 0.992
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.0921 0.90142 0.028 0.000 0.000 0.972
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.92699 0.000 1.000 0.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.1940 0.88456 0.076 0.000 0.000 0.924
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.2011 0.89498 0.000 0.080 0.920 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.2197 0.92789 0.000 0.916 0.080 0.004
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 3 0.4677 0.62811 0.000 0.316 0.680 0.004
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.0000 0.89787 0.000 0.000 0.000 1.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.92699 0.000 1.000 0.000 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.0188 0.89912 0.004 0.000 0.000 0.996
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.2216 0.92660 0.000 0.908 0.092 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.3356 0.75136 0.824 0.000 0.000 0.176
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.2473 0.92519 0.012 0.908 0.080 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.2216 0.92660 0.000 0.908 0.092 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.3837 0.70762 0.776 0.000 0.000 0.224
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.2011 0.88218 0.080 0.000 0.000 0.920
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.2216 0.92660 0.000 0.908 0.092 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.2216 0.92660 0.000 0.908 0.092 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.1867 0.89638 0.000 0.072 0.928 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.2443 0.92646 0.000 0.916 0.060 0.024
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.4356 0.62988 0.292 0.000 0.000 0.708
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.2216 0.92660 0.000 0.908 0.092 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 3 0.1474 0.87506 0.000 0.052 0.948 0.000
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.2281 0.87124 0.096 0.000 0.000 0.904
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.2714 0.83415 0.000 0.884 0.112 0.004
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.2408 0.92165 0.000 0.896 0.104 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.2452 0.92759 0.004 0.908 0.084 0.004
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.0188 0.89912 0.004 0.000 0.000 0.996
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.1305 0.89994 0.036 0.000 0.004 0.960
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.1004 0.90672 0.972 0.004 0.000 0.024
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.0921 0.88982 0.000 0.028 0.000 0.972
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.1716 0.89001 0.064 0.000 0.000 0.936
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0376 0.92768 0.000 0.992 0.004 0.004
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0188 0.92659 0.000 0.996 0.000 0.004
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.0592 0.92556 0.000 0.984 0.000 0.016
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.4222 0.60120 0.000 0.272 0.000 0.728
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.0921 0.90428 0.972 0.000 0.028 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.3356 0.79948 0.176 0.000 0.000 0.824
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.2401 0.92673 0.000 0.904 0.092 0.004
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 0.89816 0.000 0.000 1.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.2281 0.88116 0.000 0.904 0.000 0.096
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.2796 0.92071 0.000 0.892 0.092 0.016
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.1637 0.89184 0.060 0.000 0.000 0.940
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.3975 0.70222 0.000 0.760 0.000 0.240
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.2011 0.89498 0.000 0.080 0.920 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.0000 0.89816 0.000 0.000 1.000 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0921 0.91653 0.000 0.972 0.000 0.028
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.0188 0.89765 0.000 0.004 0.000 0.996
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.5000 -0.02538 0.504 0.000 0.496 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.4941 0.26073 0.000 0.564 0.000 0.436
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.4713 0.41364 0.640 0.000 0.000 0.360
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.2530 0.91836 0.000 0.888 0.112 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.2011 0.89498 0.000 0.080 0.920 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.2546 0.92645 0.000 0.900 0.092 0.008
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.0817 0.90147 0.024 0.000 0.000 0.976
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.2149 0.92731 0.000 0.912 0.088 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.2796 0.92071 0.000 0.892 0.092 0.016
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.1302 0.89782 0.044 0.000 0.000 0.956
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.0188 0.89912 0.004 0.000 0.000 0.996
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.2081 0.87991 0.084 0.000 0.000 0.916
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.0188 0.89765 0.000 0.004 0.000 0.996
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.0000 0.89816 0.000 0.000 1.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0188 0.92659 0.000 0.996 0.000 0.004
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.3219 0.74397 0.000 0.164 0.000 0.836
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.92893 1.000 0.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 3 0.2888 0.81317 0.124 0.000 0.872 0.004
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.0188 0.89912 0.004 0.000 0.000 0.996
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.2266 0.84492 0.912 0.000 0.084 0.004
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.4305 -0.238069 0.000 0.512 0.000 0.000 0.488
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 5 0.6012 -0.278105 0.000 0.120 0.000 0.376 0.504
#> B626F298-622E-4C4F-8217-71D1234A6670 5 0.4650 -0.375088 0.000 0.012 0.000 0.468 0.520
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.3983 0.220088 0.000 0.340 0.000 0.000 0.660
#> EB246839-8CB3-4B57-985E-DCEE23692361 5 0.4528 -0.334969 0.000 0.008 0.000 0.444 0.548
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.1732 0.658564 0.000 0.920 0.000 0.000 0.080
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.4287 0.296036 0.000 0.460 0.000 0.000 0.540
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.4437 0.457453 0.000 0.004 0.000 0.532 0.464
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.0162 0.835689 0.004 0.000 0.000 0.996 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.4096 0.744407 0.000 0.052 0.000 0.772 0.176
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.4030 0.462985 0.648 0.000 0.000 0.352 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.846553 0.000 0.000 1.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.4307 -0.015596 0.504 0.000 0.496 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 3 0.4262 0.174520 0.440 0.000 0.560 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.927184 1.000 0.000 0.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.2773 0.551141 0.000 0.836 0.000 0.000 0.164
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.4287 0.296036 0.000 0.460 0.000 0.000 0.540
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.2605 0.807741 0.852 0.000 0.000 0.000 0.148
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.4138 0.343069 0.000 0.616 0.000 0.000 0.384
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0000 0.711084 0.000 1.000 0.000 0.000 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0000 0.711084 0.000 1.000 0.000 0.000 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.846553 0.000 0.000 1.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0671 0.919369 0.980 0.016 0.000 0.004 0.000
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#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.0000 0.846553 0.000 0.000 1.000 0.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 5 0.4307 0.220295 0.000 0.496 0.000 0.000 0.504
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 5 0.3388 0.138557 0.000 0.008 0.000 0.200 0.792
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.927184 1.000 0.000 0.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 3 0.7117 0.287622 0.048 0.136 0.444 0.372 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.3661 0.701430 0.000 0.000 0.000 0.724 0.276
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.6356 0.074820 0.384 0.164 0.000 0.452 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 5 0.1411 0.8568 0.000 0.060 0.000 0.000 0.936 0.004
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 6 0.0717 0.6762 0.000 0.016 0.000 0.008 0.000 0.976
#> B626F298-622E-4C4F-8217-71D1234A6670 6 0.0820 0.6773 0.000 0.012 0.000 0.016 0.000 0.972
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.2506 0.8211 0.000 0.052 0.000 0.000 0.880 0.068
#> EB246839-8CB3-4B57-985E-DCEE23692361 6 0.2925 0.6463 0.000 0.012 0.000 0.064 0.060 0.864
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0260 0.8226 0.000 0.992 0.000 0.000 0.008 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.0000 0.8882 0.000 0.000 0.000 0.000 1.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 6 0.0520 0.6770 0.000 0.008 0.000 0.008 0.000 0.984
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.0632 0.7695 0.000 0.000 0.000 0.976 0.000 0.024
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 6 0.5525 0.4875 0.000 0.228 0.000 0.160 0.012 0.600
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.3483 0.5308 0.236 0.000 0.000 0.748 0.000 0.016
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.9017 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.3804 0.3246 0.576 0.000 0.424 0.000 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.3862 0.1810 0.524 0.000 0.476 0.000 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.8658 1.000 0.000 0.000 0.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 5 0.3817 0.0748 0.000 0.432 0.000 0.000 0.568 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.0000 0.8882 0.000 0.000 0.000 0.000 1.000 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.3023 0.6852 0.784 0.004 0.000 0.000 0.000 0.212
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.3714 0.5819 0.000 0.656 0.000 0.000 0.004 0.340
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0713 0.8276 0.000 0.972 0.000 0.000 0.028 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0984 0.8178 0.000 0.968 0.000 0.008 0.012 0.012
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.9017 0.000 0.000 1.000 0.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.3035 0.8019 0.860 0.076 0.000 0.024 0.000 0.040
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.5720 0.1948 0.000 0.436 0.000 0.400 0.000 0.164
#> 482285EC-BA43-441D-9986-7937B61A81D1 5 0.1267 0.8585 0.000 0.060 0.000 0.000 0.940 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.4072 0.0985 0.008 0.000 0.000 0.544 0.000 0.448
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.0000 0.8882 0.000 0.000 0.000 0.000 1.000 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.3482 0.4213 0.000 0.000 0.000 0.684 0.000 0.316
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 0.9017 0.000 0.000 1.000 0.000 0.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0146 0.8654 0.996 0.000 0.000 0.004 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.9017 0.000 0.000 1.000 0.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.5164 0.5991 0.644 0.244 0.000 0.020 0.000 0.092
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.0632 0.7695 0.000 0.000 0.000 0.976 0.000 0.024
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0363 0.8645 0.988 0.000 0.000 0.012 0.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.6124 0.0855 0.412 0.168 0.000 0.016 0.000 0.404
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 5 0.3508 0.7522 0.000 0.104 0.000 0.004 0.812 0.080
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0993 0.8572 0.964 0.000 0.000 0.024 0.000 0.012
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 6 0.3468 0.5083 0.004 0.000 0.000 0.284 0.000 0.712
#> C6D88493-258C-481E-B3A4-75DA86C25C43 6 0.2076 0.6435 0.060 0.012 0.000 0.016 0.000 0.912
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.3868 -0.0847 0.000 0.000 0.000 0.504 0.000 0.496
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.2597 0.7850 0.000 0.176 0.824 0.000 0.000 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.4281 0.7105 0.000 0.708 0.000 0.000 0.072 0.220
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.2133 0.8363 0.912 0.016 0.000 0.020 0.000 0.052
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.4691 0.6307 0.676 0.256 0.000 0.024 0.000 0.044
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 6 0.5304 0.2544 0.000 0.200 0.000 0.000 0.200 0.600
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 5 0.0000 0.8882 0.000 0.000 0.000 0.000 1.000 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 3 0.3296 0.7607 0.008 0.188 0.792 0.012 0.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 5 0.0000 0.8882 0.000 0.000 0.000 0.000 1.000 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.3620 0.3512 0.000 0.000 0.000 0.648 0.000 0.352
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.8658 1.000 0.000 0.000 0.000 0.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 5 0.0000 0.8882 0.000 0.000 0.000 0.000 1.000 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.3578 0.4279 0.000 0.000 0.000 0.660 0.340 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.1007 0.7605 0.000 0.000 0.000 0.956 0.000 0.044
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.2597 0.7850 0.000 0.176 0.824 0.000 0.000 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 5 0.0146 0.8870 0.000 0.004 0.000 0.000 0.996 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 3 0.2020 0.8475 0.000 0.096 0.896 0.008 0.000 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0363 0.8234 0.000 0.988 0.000 0.000 0.012 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0993 0.8572 0.964 0.000 0.000 0.024 0.000 0.012
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.4011 0.7339 0.000 0.732 0.000 0.000 0.212 0.056
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.3912 0.7272 0.000 0.732 0.000 0.000 0.224 0.044
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 5 0.0000 0.8882 0.000 0.000 0.000 0.000 1.000 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.3828 0.1133 0.000 0.000 0.000 0.560 0.000 0.440
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0713 0.8276 0.000 0.972 0.000 0.000 0.028 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.4830 0.6203 0.664 0.260 0.000 0.024 0.000 0.052
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.0937 0.7557 0.040 0.000 0.000 0.960 0.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0146 0.8654 0.996 0.000 0.000 0.004 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 6 0.2665 0.6413 0.000 0.012 0.000 0.104 0.016 0.868
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 6 0.4689 0.6118 0.020 0.028 0.000 0.120 0.076 0.756
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 5 0.0000 0.8882 0.000 0.000 0.000 0.000 1.000 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 5 0.1267 0.8585 0.000 0.060 0.000 0.000 0.940 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.0603 0.7615 0.016 0.000 0.000 0.980 0.000 0.004
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 3 0.3828 0.2583 0.000 0.440 0.560 0.000 0.000 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.2730 0.7095 0.808 0.000 0.000 0.192 0.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.9017 0.000 0.000 1.000 0.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 6 0.5503 0.2672 0.096 0.012 0.000 0.372 0.000 0.520
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0820 0.8618 0.972 0.000 0.000 0.012 0.000 0.016
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 5 0.2730 0.6850 0.000 0.192 0.000 0.000 0.808 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 6 0.3756 0.2692 0.000 0.000 0.000 0.400 0.000 0.600
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.2843 0.7595 0.848 0.000 0.000 0.036 0.000 0.116
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 6 0.5867 0.3972 0.328 0.020 0.000 0.132 0.000 0.520
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 3 0.0146 0.8991 0.004 0.000 0.996 0.000 0.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.4122 0.5084 0.048 0.000 0.000 0.704 0.000 0.248
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.9017 0.000 0.000 1.000 0.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.1049 0.8502 0.960 0.008 0.000 0.000 0.000 0.032
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.4269 0.7338 0.000 0.724 0.000 0.000 0.092 0.184
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.0692 0.7616 0.000 0.004 0.000 0.976 0.000 0.020
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 6 0.4948 -0.3081 0.000 0.464 0.064 0.000 0.000 0.472
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 5 0.0000 0.8882 0.000 0.000 0.000 0.000 1.000 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 6 0.3851 0.1299 0.000 0.000 0.000 0.460 0.000 0.540
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 3 0.2597 0.7850 0.000 0.176 0.824 0.000 0.000 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 5 0.0000 0.8882 0.000 0.000 0.000 0.000 1.000 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 5 0.0000 0.8882 0.000 0.000 0.000 0.000 1.000 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.0891 0.7644 0.024 0.000 0.000 0.968 0.000 0.008
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 5 0.0000 0.8882 0.000 0.000 0.000 0.000 1.000 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 5 0.0000 0.8882 0.000 0.000 0.000 0.000 1.000 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 6 0.1528 0.6745 0.000 0.012 0.000 0.028 0.016 0.944
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.0632 0.7695 0.000 0.000 0.000 0.976 0.000 0.024
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 5 0.1267 0.8585 0.000 0.060 0.000 0.000 0.940 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.8658 1.000 0.000 0.000 0.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.0632 0.7695 0.000 0.000 0.000 0.976 0.000 0.024
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.9017 0.000 0.000 1.000 0.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.8658 1.000 0.000 0.000 0.000 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0725 0.8627 0.976 0.000 0.000 0.012 0.000 0.012
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.1511 0.8070 0.000 0.944 0.000 0.012 0.012 0.032
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.3684 0.4301 0.000 0.000 0.372 0.000 0.628 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 6 0.0858 0.6772 0.000 0.004 0.000 0.028 0.000 0.968
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 5 0.2250 0.8213 0.000 0.020 0.000 0.000 0.888 0.092
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.0713 0.7681 0.000 0.000 0.000 0.972 0.000 0.028
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.3668 0.7289 0.000 0.744 0.000 0.000 0.228 0.028
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.8658 1.000 0.000 0.000 0.000 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.8658 1.000 0.000 0.000 0.000 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.0603 0.7647 0.016 0.000 0.000 0.980 0.000 0.004
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.1693 0.8023 0.000 0.936 0.000 0.020 0.012 0.032
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0713 0.8276 0.000 0.972 0.000 0.000 0.028 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 6 0.3979 0.1107 0.456 0.004 0.000 0.000 0.000 0.540
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.0632 0.7695 0.000 0.000 0.000 0.976 0.000 0.024
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0363 0.8234 0.000 0.988 0.000 0.000 0.012 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.8658 1.000 0.000 0.000 0.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.3647 0.4261 0.640 0.000 0.000 0.360 0.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.4588 0.6578 0.700 0.228 0.000 0.024 0.000 0.048
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.3314 0.7023 0.000 0.740 0.000 0.000 0.256 0.004
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.8658 1.000 0.000 0.000 0.000 0.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.0000 0.9017 0.000 0.000 1.000 0.000 0.000 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 5 0.5847 0.3699 0.012 0.324 0.000 0.040 0.560 0.064
#> C7698440-CD13-438F-A60F-063D94C9ECAD 6 0.5560 0.2644 0.420 0.000 0.000 0.136 0.000 0.444
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.1787 0.8013 0.000 0.932 0.000 0.020 0.016 0.032
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.1003 0.8587 0.964 0.000 0.000 0.020 0.000 0.016
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 3 0.3782 0.3437 0.000 0.412 0.588 0.000 0.000 0.000
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.4116 0.1895 0.012 0.000 0.000 0.572 0.000 0.416
#> 08C4C14A-94A8-4063-BBC3-916579960078 5 0.0146 0.8870 0.000 0.000 0.004 0.000 0.996 0.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.1700 0.8441 0.928 0.000 0.000 0.024 0.000 0.048
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0777 0.8266 0.000 0.972 0.004 0.000 0.024 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.1950 0.8013 0.000 0.924 0.000 0.016 0.032 0.028
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 6 0.3684 0.4421 0.000 0.004 0.000 0.332 0.000 0.664
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.3838 0.0948 0.448 0.000 0.000 0.552 0.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.0632 0.7695 0.000 0.000 0.000 0.976 0.000 0.024
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.2491 0.7805 0.868 0.020 0.000 0.000 0.000 0.112
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.4215 0.4822 0.000 0.244 0.000 0.700 0.000 0.056
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.0632 0.7695 0.000 0.000 0.000 0.976 0.000 0.024
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 5 0.0000 0.8882 0.000 0.000 0.000 0.000 1.000 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 5 0.0146 0.8870 0.000 0.004 0.000 0.000 0.996 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 5 0.0000 0.8882 0.000 0.000 0.000 0.000 1.000 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 6 0.4114 0.5849 0.000 0.176 0.000 0.016 0.052 0.756
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.8658 1.000 0.000 0.000 0.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.8658 1.000 0.000 0.000 0.000 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.1262 0.8562 0.956 0.008 0.000 0.020 0.000 0.016
#> 8812DD6D-D245-4752-878F-496B164A21A3 6 0.5099 0.1463 0.080 0.000 0.000 0.424 0.000 0.496
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0914 0.8600 0.968 0.000 0.000 0.016 0.000 0.016
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.3244 0.6908 0.000 0.732 0.000 0.000 0.268 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 0.9017 0.000 0.000 1.000 0.000 0.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 5 0.3130 0.7740 0.000 0.048 0.000 0.000 0.828 0.124
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.8658 1.000 0.000 0.000 0.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.4174 0.7371 0.000 0.732 0.000 0.000 0.084 0.184
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.0632 0.7695 0.000 0.000 0.000 0.976 0.000 0.024
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.4886 0.6164 0.660 0.260 0.000 0.024 0.000 0.056
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.1327 0.8516 0.000 0.000 0.000 0.000 0.936 0.064
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.9017 0.000 0.000 1.000 0.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.0458 0.8957 0.000 0.016 0.984 0.000 0.000 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 5 0.4561 0.3009 0.000 0.036 0.000 0.000 0.536 0.428
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 6 0.2195 0.6629 0.000 0.012 0.000 0.068 0.016 0.904
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.3854 0.2166 0.536 0.000 0.464 0.000 0.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 5 0.4089 0.0540 0.000 0.000 0.000 0.008 0.524 0.468
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.0777 0.7637 0.024 0.000 0.000 0.972 0.000 0.004
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.1049 0.8259 0.000 0.960 0.008 0.000 0.032 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0146 0.8649 0.996 0.000 0.000 0.000 0.000 0.004
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.9017 0.000 0.000 1.000 0.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.0520 0.8214 0.000 0.984 0.000 0.008 0.008 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 6 0.3983 0.5424 0.020 0.012 0.000 0.248 0.000 0.720
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.3834 0.7218 0.000 0.732 0.000 0.000 0.232 0.036
#> CC008807-7264-4593-966F-104992B35873 2 0.4174 0.7371 0.000 0.732 0.000 0.000 0.084 0.184
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.8658 1.000 0.000 0.000 0.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.8658 1.000 0.000 0.000 0.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.3838 0.1165 0.000 0.000 0.000 0.552 0.000 0.448
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.2300 0.6972 0.000 0.000 0.000 0.856 0.000 0.144
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.0717 0.7685 0.008 0.000 0.000 0.976 0.000 0.016
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 6 0.0909 0.6774 0.000 0.012 0.000 0.020 0.000 0.968
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.0000 0.9017 0.000 0.000 1.000 0.000 0.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 5 0.0363 0.8838 0.000 0.012 0.000 0.000 0.988 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 6 0.1523 0.6684 0.000 0.008 0.000 0.008 0.044 0.940
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0146 0.8649 0.996 0.000 0.000 0.000 0.000 0.004
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.3447 0.6053 0.012 0.024 0.164 0.800 0.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 6 0.3266 0.5291 0.000 0.000 0.000 0.272 0.000 0.728
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.2647 0.6800 0.088 0.020 0.000 0.876 0.000 0.016
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17604 rows and 183 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 0.420 0.787 0.865 0.4262 0.573 0.573
#> 3 3 0.510 0.846 0.891 0.0697 0.897 0.832
#> 4 4 0.558 0.696 0.870 0.3782 0.798 0.639
#> 5 5 0.488 0.609 0.787 0.1414 0.857 0.636
#> 6 6 0.626 0.720 0.824 0.0728 0.947 0.813
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.3733 0.8355 0.072 0.928
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.3584 0.8643 0.068 0.932
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.5059 0.8562 0.112 0.888
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.3733 0.8355 0.072 0.928
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.5059 0.8562 0.112 0.888
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.2603 0.8657 0.044 0.956
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.1843 0.8650 0.028 0.972
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 2 0.5059 0.8562 0.112 0.888
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 2 0.5059 0.8562 0.112 0.888
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.5059 0.8562 0.112 0.888
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.5629 0.8498 0.868 0.132
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 1 0.5519 0.7401 0.872 0.128
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.3733 0.8626 0.928 0.072
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.3733 0.8626 0.928 0.072
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.4939 0.8624 0.892 0.108
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.4298 0.8257 0.088 0.912
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.2043 0.8654 0.032 0.968
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 2 0.5178 0.8538 0.116 0.884
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.2948 0.8655 0.052 0.948
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.4298 0.8257 0.088 0.912
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.3879 0.8370 0.076 0.924
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 1 0.6623 0.7235 0.828 0.172
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 2 0.9983 0.0406 0.476 0.524
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.0376 0.8613 0.004 0.996
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.3733 0.8355 0.072 0.928
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.9954 0.2225 0.540 0.460
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.3733 0.8355 0.072 0.928
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 2 0.5059 0.8562 0.112 0.888
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.6801 0.7131 0.820 0.180
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.4298 0.8684 0.912 0.088
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 1 0.9977 0.1590 0.528 0.472
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 2 0.5294 0.8510 0.120 0.880
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 2 0.7453 0.7520 0.212 0.788
#> AA838488-4A13-4998-B261-91590113F37D 1 0.4161 0.8672 0.916 0.084
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.2603 0.8657 0.044 0.956
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.5059 0.8562 0.112 0.888
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.4298 0.8684 0.912 0.088
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 2 0.5059 0.8562 0.112 0.888
#> C6D88493-258C-481E-B3A4-75DA86C25C43 2 0.5059 0.8562 0.112 0.888
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 2 0.5059 0.8562 0.112 0.888
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.5178 0.8084 0.116 0.884
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.2236 0.8657 0.036 0.964
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 2 0.7299 0.7626 0.204 0.796
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 2 0.9686 0.3227 0.396 0.604
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.4161 0.8619 0.084 0.916
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.1843 0.8529 0.028 0.972
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 2 0.9427 0.3515 0.360 0.640
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.3733 0.8355 0.072 0.928
#> 89430A30-8758-4E5B-8186-999EA234E39A 2 0.5059 0.8562 0.112 0.888
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 2 0.5059 0.8562 0.112 0.888
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.4939 0.8573 0.108 0.892
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 2 0.4815 0.8583 0.104 0.896
#> 705D8441-3436-49B6-9575-E77C5252844A 2 0.9998 -0.0598 0.492 0.508
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.5178 0.8084 0.116 0.884
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.3733 0.8355 0.072 0.928
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 2 0.3584 0.8413 0.068 0.932
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.1633 0.8568 0.024 0.976
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.4298 0.8684 0.912 0.088
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.3733 0.8355 0.072 0.928
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.4298 0.8257 0.088 0.912
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0938 0.8630 0.012 0.988
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 2 0.5059 0.8562 0.112 0.888
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0376 0.8613 0.004 0.996
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.5059 0.8562 0.112 0.888
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.5519 0.8522 0.872 0.128
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.4298 0.8684 0.912 0.088
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.5059 0.8562 0.112 0.888
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 0.5059 0.8562 0.112 0.888
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.3733 0.8355 0.072 0.928
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.3733 0.8355 0.072 0.928
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.4815 0.8644 0.896 0.104
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.4298 0.8257 0.088 0.912
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.5737 0.8440 0.864 0.136
#> 3D3E5993-9E56-4A95-928E-012B62959711 1 0.5059 0.7420 0.888 0.112
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 2 0.5059 0.8562 0.112 0.888
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 2 0.9732 0.3287 0.404 0.596
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.3733 0.8355 0.072 0.928
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 2 0.5059 0.8562 0.112 0.888
#> 3E070741-BBA0-4806-8D74-08595E249252 2 0.7376 0.7569 0.208 0.792
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 2 0.5059 0.8562 0.112 0.888
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.3733 0.8626 0.928 0.072
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.6343 0.8288 0.840 0.160
#> F521826B-B2EC-4000-9CE0-935F331AF562 1 0.5059 0.7420 0.888 0.112
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.4939 0.8573 0.108 0.892
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.4298 0.8257 0.088 0.912
#> 4CA559EF-D8B9-400B-972C-693257124C3D 2 0.5737 0.8382 0.136 0.864
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.4298 0.8257 0.088 0.912
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0672 0.8588 0.008 0.992
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 2 0.5059 0.8562 0.112 0.888
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.4298 0.8257 0.088 0.912
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.3733 0.8355 0.072 0.928
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.4161 0.8283 0.084 0.916
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.4815 0.8639 0.896 0.104
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.2236 0.8656 0.036 0.964
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.2603 0.8657 0.044 0.956
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.5059 0.8562 0.112 0.888
#> 17349241-FDBC-4297-8431-BB9400D87E63 2 0.9775 0.2773 0.412 0.588
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.4161 0.8283 0.084 0.916
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.4298 0.8684 0.912 0.088
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.4939 0.8624 0.892 0.108
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 1 0.5059 0.7420 0.888 0.112
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.3733 0.8626 0.928 0.072
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 1.0000 0.0782 0.500 0.500
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0376 0.8613 0.004 0.996
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.4298 0.8257 0.088 0.912
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.5059 0.8562 0.112 0.888
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.3733 0.8355 0.072 0.928
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 2 0.7453 0.7500 0.212 0.788
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.4298 0.8257 0.088 0.912
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.4298 0.8684 0.912 0.088
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.4298 0.8684 0.912 0.088
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.9323 0.5426 0.652 0.348
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.2423 0.8658 0.040 0.960
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.4298 0.8257 0.088 0.912
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.9754 0.3983 0.592 0.408
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.9522 0.4988 0.628 0.372
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.3733 0.8355 0.072 0.928
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.4298 0.8684 0.912 0.088
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.4298 0.8684 0.912 0.088
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 2 0.5059 0.8562 0.112 0.888
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.3733 0.8355 0.072 0.928
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 2 0.5946 0.8371 0.144 0.856
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.8555 0.7414 0.720 0.280
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.2948 0.8655 0.052 0.948
#> C7698440-CD13-438F-A60F-063D94C9ECAD 2 0.5059 0.8562 0.112 0.888
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.2603 0.8657 0.044 0.956
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.9970 0.2120 0.532 0.468
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.2603 0.8483 0.044 0.956
#> B90927EE-2978-45BC-872B-200DE436605C 2 0.7056 0.7776 0.192 0.808
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.4298 0.8257 0.088 0.912
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.9833 0.3594 0.576 0.424
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0376 0.8613 0.004 0.996
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.2603 0.8657 0.044 0.956
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 2 0.5059 0.8562 0.112 0.888
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.4298 0.8684 0.912 0.088
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.6712 0.8090 0.824 0.176
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.3733 0.8656 0.072 0.928
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 2 0.5059 0.8562 0.112 0.888
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.5629 0.8498 0.868 0.132
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0376 0.8613 0.004 0.996
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.3733 0.8355 0.072 0.928
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.3431 0.8648 0.064 0.936
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.5059 0.8562 0.112 0.888
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.3879 0.8643 0.924 0.076
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.4298 0.8684 0.912 0.088
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.5059 0.8496 0.888 0.112
#> 8812DD6D-D245-4752-878F-496B164A21A3 2 0.5059 0.8562 0.112 0.888
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.4298 0.8684 0.912 0.088
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.4161 0.8283 0.084 0.916
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.9044 0.5516 0.680 0.320
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.5059 0.8562 0.112 0.888
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.5178 0.8582 0.884 0.116
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.4298 0.8257 0.088 0.912
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 2 0.9248 0.4909 0.340 0.660
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.5059 0.8562 0.112 0.888
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.5059 0.8562 0.112 0.888
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 1 0.5059 0.7420 0.888 0.112
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.5178 0.8084 0.116 0.884
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0672 0.8624 0.008 0.992
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.5059 0.8562 0.112 0.888
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.3733 0.8626 0.928 0.072
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.5059 0.8562 0.112 0.888
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.4298 0.8684 0.912 0.088
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.4298 0.8257 0.088 0.912
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.4298 0.8684 0.912 0.088
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.5629 0.7986 0.132 0.868
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.0938 0.8578 0.012 0.988
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 2 0.5059 0.8562 0.112 0.888
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.3733 0.8355 0.072 0.928
#> CC008807-7264-4593-966F-104992B35873 2 0.3733 0.8355 0.072 0.928
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.4298 0.8684 0.912 0.088
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.4298 0.8684 0.912 0.088
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.9754 0.4052 0.592 0.408
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 2 0.5059 0.8562 0.112 0.888
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.4298 0.8684 0.912 0.088
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 2 0.5059 0.8562 0.112 0.888
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.6343 0.8136 0.840 0.160
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.3879 0.8332 0.076 0.924
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.5059 0.8562 0.112 0.888
#> 67E92530-3B19-424C-B219-958A88909046 1 0.5178 0.8582 0.884 0.116
#> 548F421F-046B-4209-9B20-1A6F32424738 2 0.9358 0.3705 0.352 0.648
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 2 0.5059 0.8562 0.112 0.888
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 2 0.9833 0.2436 0.424 0.576
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.8586 0.000 1.000 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.3340 0.8885 0.120 0.880 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.4555 0.8718 0.200 0.800 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.8586 0.000 1.000 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.4555 0.8718 0.200 0.800 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.2537 0.8864 0.080 0.920 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.2448 0.8859 0.076 0.924 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 2 0.4504 0.8737 0.196 0.804 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 2 0.4796 0.8582 0.220 0.780 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.4555 0.8718 0.200 0.800 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.4178 0.7041 0.828 0.172 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 1.0000 0.000 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.1860 0.8353 0.948 0.000 0.052
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.1289 0.8579 0.968 0.000 0.032
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.8814 1.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.1163 0.8543 0.000 0.972 0.028
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.2448 0.8859 0.076 0.924 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 2 0.4605 0.8700 0.204 0.796 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.3116 0.8888 0.108 0.892 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0237 0.8586 0.000 0.996 0.004
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0424 0.8623 0.008 0.992 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 1.0000 0.000 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 2 0.6235 0.4272 0.436 0.564 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.2537 0.8864 0.080 0.920 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.8586 0.000 1.000 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.1860 0.8429 0.948 0.052 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0000 0.8586 0.000 1.000 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 2 0.4555 0.8718 0.200 0.800 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 1.0000 0.000 0.000 1.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.8814 1.000 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 1.0000 0.000 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 2 0.4887 0.8523 0.228 0.772 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 2 0.5098 0.8318 0.248 0.752 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.1267 0.8659 0.972 0.024 0.004
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.2537 0.8864 0.080 0.920 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.4121 0.8813 0.168 0.832 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.8814 1.000 0.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 2 0.4555 0.8718 0.200 0.800 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 2 0.4062 0.8821 0.164 0.836 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 2 0.4750 0.8613 0.216 0.784 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.1289 0.8533 0.000 0.968 0.032
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.2537 0.8864 0.080 0.920 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 2 0.5650 0.7513 0.312 0.688 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 2 0.4702 0.8593 0.212 0.788 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.3879 0.8856 0.152 0.848 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.1753 0.8790 0.048 0.952 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 2 0.4662 0.8792 0.124 0.844 0.032
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0000 0.8586 0.000 1.000 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 2 0.4504 0.8737 0.196 0.804 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 2 0.4555 0.8728 0.200 0.800 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.4452 0.8752 0.192 0.808 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 2 0.4235 0.8791 0.176 0.824 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.6168 0.0753 0.588 0.412 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.1289 0.8533 0.000 0.968 0.032
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.8586 0.000 1.000 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 2 0.3713 0.8843 0.076 0.892 0.032
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.2066 0.8827 0.060 0.940 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.8814 1.000 0.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0237 0.8604 0.004 0.996 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0237 0.8586 0.000 0.996 0.004
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.2959 0.8891 0.100 0.900 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 2 0.4796 0.8582 0.220 0.780 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.2537 0.8864 0.080 0.920 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.4062 0.8821 0.164 0.836 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.3038 0.7897 0.896 0.104 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.8814 1.000 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.4399 0.8764 0.188 0.812 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 0.4504 0.8737 0.196 0.804 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0000 0.8586 0.000 1.000 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.8586 0.000 1.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.1860 0.8462 0.948 0.052 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.1289 0.8533 0.000 0.968 0.032
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0237 0.8797 0.996 0.004 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 1.0000 0.000 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 2 0.4702 0.8642 0.212 0.788 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.5016 0.6044 0.760 0.240 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0237 0.8604 0.004 0.996 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 2 0.4555 0.8718 0.200 0.800 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 2 0.5706 0.7382 0.320 0.680 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 2 0.4555 0.8718 0.200 0.800 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.2261 0.8099 0.932 0.000 0.068
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.3551 0.7556 0.868 0.132 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 1.0000 0.000 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.4235 0.8815 0.176 0.824 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.1289 0.8533 0.000 0.968 0.032
#> 4CA559EF-D8B9-400B-972C-693257124C3D 2 0.4654 0.8671 0.208 0.792 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.1289 0.8533 0.000 0.968 0.032
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.2165 0.8837 0.064 0.936 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 2 0.4555 0.8718 0.200 0.800 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.1289 0.8533 0.000 0.968 0.032
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0592 0.8618 0.012 0.988 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.8586 0.000 1.000 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.8814 1.000 0.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.3550 0.8859 0.080 0.896 0.024
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.2448 0.8859 0.076 0.924 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.4121 0.8816 0.168 0.832 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 2 0.5138 0.8312 0.252 0.748 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.8586 0.000 1.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.8814 1.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.8814 1.000 0.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 1.0000 0.000 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.1163 0.8615 0.972 0.000 0.028
#> D227D812-6DF9-4954-9A50-6EBF6486116C 2 0.5327 0.8069 0.272 0.728 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.2537 0.8864 0.080 0.920 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.6008 0.5322 0.000 0.628 0.372
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.4504 0.8737 0.196 0.804 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.8586 0.000 1.000 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 2 0.5098 0.8341 0.248 0.752 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0747 0.8568 0.000 0.984 0.016
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.8814 1.000 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.8814 1.000 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.6244 -0.0645 0.560 0.440 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.2625 0.8872 0.084 0.916 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0237 0.8586 0.000 0.996 0.004
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.5363 0.5360 0.724 0.276 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 2 0.6204 0.5297 0.424 0.576 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0237 0.8604 0.004 0.996 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.8814 1.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0000 0.8814 1.000 0.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 2 0.4062 0.8821 0.164 0.836 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0237 0.8604 0.004 0.996 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 2 0.4796 0.8590 0.220 0.780 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.5060 0.6950 0.816 0.156 0.028
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.3038 0.8886 0.104 0.896 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 2 0.4555 0.8718 0.200 0.800 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.2959 0.8866 0.100 0.900 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 2 0.5760 0.7006 0.328 0.672 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.3028 0.8774 0.048 0.920 0.032
#> B90927EE-2978-45BC-872B-200DE436605C 2 0.5098 0.8341 0.248 0.752 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.1411 0.8524 0.000 0.964 0.036
#> B11753A0-829F-4913-B894-F07A53FF1C92 2 0.6026 0.6417 0.376 0.624 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.2537 0.8864 0.080 0.920 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.2537 0.8864 0.080 0.920 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 2 0.4062 0.8821 0.164 0.836 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.8814 1.000 0.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.5650 0.4326 0.688 0.312 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.4056 0.8873 0.092 0.876 0.032
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 2 0.4291 0.8779 0.180 0.820 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.2878 0.7988 0.904 0.096 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.2448 0.8859 0.076 0.924 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.8586 0.000 1.000 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.3267 0.8889 0.116 0.884 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.4121 0.8813 0.168 0.832 0.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0237 0.8783 0.996 0.000 0.004
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.8814 1.000 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.2682 0.8074 0.920 0.076 0.004
#> 8812DD6D-D245-4752-878F-496B164A21A3 2 0.4796 0.8582 0.220 0.780 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.1289 0.8583 0.968 0.032 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0000 0.8586 0.000 1.000 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 1.0000 0.000 0.000 1.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.4121 0.8813 0.168 0.832 0.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.8814 1.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0237 0.8586 0.000 0.996 0.004
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 2 0.5058 0.8390 0.244 0.756 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.4062 0.8821 0.164 0.836 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.4504 0.8731 0.196 0.804 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 1.0000 0.000 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.1289 0.8533 0.000 0.968 0.032
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.2796 0.8880 0.092 0.908 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.4555 0.8718 0.200 0.800 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.1964 0.8325 0.944 0.000 0.056
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.4504 0.8737 0.196 0.804 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.8814 1.000 0.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.1289 0.8533 0.000 0.968 0.032
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.8814 1.000 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 1.0000 0.000 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.2165 0.8837 0.064 0.936 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 2 0.4555 0.8718 0.200 0.800 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.8586 0.000 1.000 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0237 0.8604 0.004 0.996 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.8814 1.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.8814 1.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 2 0.6079 0.6150 0.388 0.612 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 2 0.4062 0.8821 0.164 0.836 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0424 0.8789 0.992 0.008 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 2 0.4555 0.8718 0.200 0.800 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.4371 0.7268 0.860 0.108 0.032
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.8586 0.000 1.000 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.4555 0.8718 0.200 0.800 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.8814 1.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 2 0.4810 0.8825 0.140 0.832 0.028
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 2 0.4555 0.8718 0.200 0.800 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 2 0.4605 0.8640 0.204 0.796 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.5699 0.000 1.000 0.000 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.0000 0.8321 0.000 0.000 0.000 1.000
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.1302 0.8371 0.044 0.000 0.000 0.956
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.5699 0.000 1.000 0.000 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.1411 0.8355 0.020 0.020 0.000 0.960
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 4 0.0000 0.8321 0.000 0.000 0.000 1.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.4933 0.2877 0.000 0.568 0.000 0.432
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.0921 0.8378 0.028 0.000 0.000 0.972
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.1474 0.8334 0.052 0.000 0.000 0.948
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.1211 0.8372 0.040 0.000 0.000 0.960
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.4522 0.5905 0.680 0.000 0.000 0.320
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 1.0000 0.000 0.000 1.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0188 0.8384 0.996 0.000 0.004 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.8411 1.000 0.000 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.8411 1.000 0.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.3266 0.6045 0.000 0.832 0.000 0.168
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.4933 0.2877 0.000 0.568 0.000 0.432
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 4 0.3649 0.7047 0.204 0.000 0.000 0.796
#> 851B9B77-547A-43CC-B939-428E0A26C67C 4 0.0188 0.8331 0.004 0.000 0.000 0.996
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.4761 0.5465 0.000 0.628 0.000 0.372
#> B56D29F2-ADF4-43B9-9013-071466244B4A 4 0.3172 0.6767 0.000 0.160 0.000 0.840
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 1.0000 0.000 0.000 1.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 4 0.4331 0.5080 0.288 0.000 0.000 0.712
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.0000 0.8321 0.000 0.000 0.000 1.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.5699 0.000 1.000 0.000 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.3688 0.7275 0.792 0.000 0.000 0.208
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.4977 0.1340 0.000 0.540 0.000 0.460
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.1211 0.8372 0.040 0.000 0.000 0.960
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 1.0000 0.000 0.000 1.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.8411 1.000 0.000 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 1.0000 0.000 0.000 1.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.1637 0.8319 0.060 0.000 0.000 0.940
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.4538 0.5940 0.024 0.216 0.000 0.760
#> AA838488-4A13-4998-B261-91590113F37D 1 0.2345 0.8050 0.900 0.000 0.000 0.100
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 4 0.0000 0.8321 0.000 0.000 0.000 1.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 4 0.1209 0.8299 0.004 0.032 0.000 0.964
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.8411 1.000 0.000 0.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.1211 0.8372 0.040 0.000 0.000 0.960
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.0921 0.8384 0.028 0.000 0.000 0.972
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.1474 0.8334 0.052 0.000 0.000 0.948
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 4 0.3356 0.6577 0.000 0.176 0.000 0.824
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 4 0.2081 0.7706 0.000 0.084 0.000 0.916
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 4 0.4477 0.5802 0.312 0.000 0.000 0.688
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 4 0.1474 0.8289 0.052 0.000 0.000 0.948
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 4 0.0000 0.8321 0.000 0.000 0.000 1.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.2216 0.5577 0.000 0.908 0.000 0.092
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 4 0.0921 0.8289 0.028 0.000 0.000 0.972
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0469 0.5738 0.000 0.988 0.000 0.012
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.0592 0.8369 0.016 0.000 0.000 0.984
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 4 0.3528 0.7077 0.192 0.000 0.000 0.808
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 4 0.4053 0.5968 0.004 0.228 0.000 0.768
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.4761 0.2840 0.000 0.372 0.000 0.628
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.4998 0.0404 0.512 0.000 0.000 0.488
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.4761 0.5465 0.000 0.628 0.000 0.372
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.2868 0.5764 0.000 0.864 0.000 0.136
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 4 0.0000 0.8321 0.000 0.000 0.000 1.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 4 0.2011 0.7788 0.000 0.080 0.000 0.920
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.8411 1.000 0.000 0.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.4761 0.5465 0.000 0.628 0.000 0.372
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.4761 0.5465 0.000 0.628 0.000 0.372
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.4804 0.4489 0.000 0.616 0.000 0.384
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.1474 0.8334 0.052 0.000 0.000 0.948
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 4 0.4989 -0.2503 0.000 0.472 0.000 0.528
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 4 0.0188 0.8326 0.004 0.000 0.000 0.996
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.4164 0.6658 0.736 0.000 0.000 0.264
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0188 0.8393 0.996 0.000 0.000 0.004
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.1211 0.8372 0.040 0.000 0.000 0.960
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.0921 0.8384 0.028 0.000 0.000 0.972
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0188 0.5695 0.000 0.996 0.000 0.004
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.5699 0.000 1.000 0.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.3837 0.7176 0.776 0.000 0.000 0.224
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 4 0.3219 0.6731 0.000 0.164 0.000 0.836
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0188 0.8398 0.996 0.000 0.000 0.004
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 1.0000 0.000 0.000 1.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.1557 0.8333 0.056 0.000 0.000 0.944
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.4877 0.4137 0.592 0.000 0.000 0.408
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 4 0.4679 0.2702 0.000 0.352 0.000 0.648
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.1211 0.8372 0.040 0.000 0.000 0.960
#> 3E070741-BBA0-4806-8D74-08595E249252 4 0.4522 0.5688 0.320 0.000 0.000 0.680
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.3610 0.7080 0.200 0.000 0.000 0.800
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0188 0.8393 0.996 0.000 0.004 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.2814 0.7493 0.868 0.000 0.000 0.132
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 1.0000 0.000 0.000 1.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 4 0.3311 0.7115 0.172 0.000 0.000 0.828
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.4761 0.5465 0.000 0.628 0.000 0.372
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.0469 0.8348 0.012 0.000 0.000 0.988
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 4 0.3219 0.6731 0.000 0.164 0.000 0.836
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.2868 0.5381 0.000 0.864 0.000 0.136
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.1867 0.8276 0.072 0.000 0.000 0.928
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.4761 0.5465 0.000 0.628 0.000 0.372
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.4981 0.1219 0.000 0.536 0.000 0.464
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.5699 0.000 1.000 0.000 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.3219 0.7590 0.836 0.000 0.000 0.164
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.4933 0.2877 0.000 0.568 0.000 0.432
#> F7B2E263-F0AE-440E-96C5-139233079A06 4 0.4948 0.0962 0.000 0.440 0.000 0.560
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.0707 0.8374 0.020 0.000 0.000 0.980
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.2011 0.8194 0.080 0.000 0.000 0.920
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.5699 0.000 1.000 0.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.8411 1.000 0.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.3172 0.7598 0.840 0.000 0.000 0.160
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 1.0000 0.000 0.000 1.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0592 0.8313 0.984 0.000 0.000 0.016
#> D227D812-6DF9-4954-9A50-6EBF6486116C 4 0.2530 0.7989 0.112 0.000 0.000 0.888
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 4 0.0000 0.8321 0.000 0.000 0.000 1.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.5186 0.4356 0.000 0.752 0.164 0.084
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.0921 0.8378 0.028 0.000 0.000 0.972
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.5699 0.000 1.000 0.000 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.1940 0.8209 0.076 0.000 0.000 0.924
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.4761 0.5465 0.000 0.628 0.000 0.372
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.8411 1.000 0.000 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.8411 1.000 0.000 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.4817 0.3338 0.388 0.000 0.000 0.612
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 4 0.0188 0.8326 0.004 0.000 0.000 0.996
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 4 0.4866 0.0843 0.000 0.404 0.000 0.596
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.4250 0.5761 0.724 0.000 0.000 0.276
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.4134 0.6152 0.260 0.000 0.000 0.740
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 4 0.3219 0.6731 0.000 0.164 0.000 0.836
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.8411 1.000 0.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.3219 0.7590 0.836 0.000 0.000 0.164
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 4 0.0188 0.8326 0.004 0.000 0.000 0.996
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.4761 0.5465 0.000 0.628 0.000 0.372
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 4 0.3688 0.7044 0.208 0.000 0.000 0.792
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.2469 0.7865 0.892 0.000 0.000 0.108
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.0000 0.8321 0.000 0.000 0.000 1.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.1211 0.8372 0.040 0.000 0.000 0.960
#> 57787823-A815-4783-930C-A5752E48FFBA 4 0.1284 0.8263 0.012 0.024 0.000 0.964
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 4 0.3311 0.7096 0.172 0.000 0.000 0.828
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 4 0.3649 0.6153 0.000 0.204 0.000 0.796
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.1940 0.8209 0.076 0.000 0.000 0.924
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.4776 0.3582 0.000 0.624 0.000 0.376
#> B11753A0-829F-4913-B894-F07A53FF1C92 4 0.3764 0.6842 0.216 0.000 0.000 0.784
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 4 0.0000 0.8321 0.000 0.000 0.000 1.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 4 0.0000 0.8321 0.000 0.000 0.000 1.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.0336 0.8351 0.008 0.000 0.000 0.992
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.3172 0.7611 0.840 0.000 0.000 0.160
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.5288 0.1864 0.520 0.008 0.000 0.472
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 4 0.3172 0.7091 0.160 0.000 0.000 0.840
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.1022 0.8384 0.032 0.000 0.000 0.968
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.4103 0.6749 0.744 0.000 0.000 0.256
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 4 0.4713 0.2789 0.000 0.360 0.000 0.640
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0188 0.5695 0.000 0.996 0.000 0.004
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 4 0.4817 0.2454 0.000 0.388 0.000 0.612
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.1211 0.8379 0.040 0.000 0.000 0.960
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.8411 1.000 0.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.8411 1.000 0.000 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.1211 0.8103 0.960 0.000 0.000 0.040
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.1557 0.8333 0.056 0.000 0.000 0.944
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.2868 0.7851 0.864 0.000 0.000 0.136
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 4 0.4713 0.2444 0.000 0.360 0.000 0.640
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 1.0000 0.000 0.000 1.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 4 0.1211 0.8372 0.040 0.000 0.000 0.960
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.8411 1.000 0.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.4761 0.5465 0.000 0.628 0.000 0.372
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.1867 0.8258 0.072 0.000 0.000 0.928
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 4 0.0336 0.8337 0.008 0.000 0.000 0.992
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 4 0.4936 0.2854 0.004 0.372 0.000 0.624
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 1.0000 0.000 0.000 1.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 4 0.4713 0.2444 0.000 0.360 0.000 0.640
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 4 0.4406 0.3884 0.000 0.300 0.000 0.700
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.1211 0.8372 0.040 0.000 0.000 0.960
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0657 0.8305 0.984 0.000 0.012 0.004
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.0921 0.8378 0.028 0.000 0.000 0.972
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0336 0.8399 0.992 0.000 0.000 0.008
#> EB818546-2380-480F-AA7A-529857F5912C 4 0.4746 0.2158 0.000 0.368 0.000 0.632
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.8411 1.000 0.000 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 1.0000 0.000 0.000 1.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 4 0.1716 0.7941 0.000 0.064 0.000 0.936
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.1211 0.8372 0.040 0.000 0.000 0.960
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.4761 0.5465 0.000 0.628 0.000 0.372
#> CC008807-7264-4593-966F-104992B35873 2 0.4761 0.5465 0.000 0.628 0.000 0.372
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.8411 1.000 0.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.8411 1.000 0.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.3837 0.6667 0.224 0.000 0.000 0.776
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.0188 0.8339 0.004 0.000 0.000 0.996
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.3266 0.7568 0.832 0.000 0.000 0.168
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.1211 0.8372 0.040 0.000 0.000 0.960
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.2011 0.8079 0.920 0.000 0.000 0.080
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.5699 0.000 1.000 0.000 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.1211 0.8372 0.040 0.000 0.000 0.960
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.8411 1.000 0.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.0707 0.8312 0.020 0.000 0.000 0.980
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.1211 0.8372 0.040 0.000 0.000 0.960
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.1118 0.8289 0.036 0.000 0.000 0.964
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.1082 0.54735 0.000 0.964 0.000 0.028 0.008
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 5 0.2424 0.73256 0.000 0.000 0.000 0.132 0.868
#> B626F298-622E-4C4F-8217-71D1234A6670 5 0.3003 0.72121 0.000 0.000 0.000 0.188 0.812
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0671 0.54830 0.000 0.980 0.000 0.004 0.016
#> EB246839-8CB3-4B57-985E-DCEE23692361 5 0.4994 0.66072 0.000 0.096 0.000 0.208 0.696
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 5 0.0162 0.69865 0.004 0.000 0.000 0.000 0.996
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.4387 0.37880 0.000 0.640 0.000 0.012 0.348
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 5 0.3508 0.68717 0.000 0.000 0.000 0.252 0.748
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.2660 0.79773 0.008 0.000 0.000 0.864 0.128
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 5 0.2929 0.72487 0.000 0.000 0.000 0.180 0.820
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.4170 0.78340 0.140 0.000 0.000 0.780 0.080
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.98076 0.000 0.000 1.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0703 0.84596 0.976 0.000 0.000 0.024 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0703 0.84596 0.976 0.000 0.000 0.024 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0703 0.84596 0.976 0.000 0.000 0.024 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.4859 0.48807 0.004 0.608 0.000 0.024 0.364
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.4524 0.38750 0.000 0.644 0.000 0.020 0.336
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 5 0.5815 0.47370 0.136 0.000 0.000 0.272 0.592
#> 851B9B77-547A-43CC-B939-428E0A26C67C 5 0.0404 0.70089 0.000 0.000 0.000 0.012 0.988
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.4907 0.34541 0.000 0.488 0.000 0.024 0.488
#> B56D29F2-ADF4-43B9-9013-071466244B4A 5 0.0865 0.68095 0.000 0.004 0.000 0.024 0.972
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.98076 0.000 0.000 1.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 5 0.4744 0.49671 0.252 0.000 0.000 0.056 0.692
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 5 0.2536 0.72794 0.004 0.000 0.000 0.128 0.868
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.1082 0.54735 0.000 0.964 0.000 0.028 0.008
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.3359 0.79434 0.084 0.000 0.000 0.844 0.072
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.4648 0.11611 0.000 0.524 0.000 0.012 0.464
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.2929 0.74645 0.000 0.000 0.000 0.820 0.180
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.2561 0.92088 0.020 0.000 0.884 0.096 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.2424 0.77667 0.868 0.000 0.000 0.132 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.98076 0.000 0.000 1.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 5 0.3966 0.61175 0.000 0.000 0.000 0.336 0.664
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.5423 0.63320 0.016 0.184 0.000 0.692 0.108
#> AA838488-4A13-4998-B261-91590113F37D 1 0.3321 0.75315 0.832 0.000 0.000 0.032 0.136
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 5 0.2516 0.72502 0.000 0.000 0.000 0.140 0.860
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 5 0.5030 0.65913 0.000 0.104 0.000 0.200 0.696
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.3876 0.54696 0.684 0.000 0.000 0.316 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 5 0.4278 0.39795 0.000 0.000 0.000 0.452 0.548
#> C6D88493-258C-481E-B3A4-75DA86C25C43 5 0.3452 0.69073 0.000 0.000 0.000 0.244 0.756
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.3336 0.66292 0.000 0.000 0.000 0.772 0.228
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 5 0.3601 0.55982 0.024 0.020 0.000 0.124 0.832
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 5 0.2238 0.65741 0.004 0.064 0.000 0.020 0.912
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 5 0.5740 0.54625 0.164 0.000 0.000 0.216 0.620
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 5 0.4125 0.69659 0.056 0.000 0.000 0.172 0.772
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 5 0.0162 0.69799 0.000 0.000 0.000 0.004 0.996
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0693 0.54434 0.000 0.980 0.000 0.012 0.008
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 5 0.2592 0.71508 0.052 0.000 0.000 0.056 0.892
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0912 0.55004 0.000 0.972 0.000 0.012 0.016
#> 89430A30-8758-4E5B-8186-999EA234E39A 5 0.3508 0.68548 0.000 0.000 0.000 0.252 0.748
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 5 0.3906 0.71300 0.084 0.000 0.000 0.112 0.804
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 5 0.4380 0.30304 0.000 0.376 0.000 0.008 0.616
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 2 0.6524 0.10673 0.008 0.500 0.000 0.324 0.168
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.3437 0.79498 0.048 0.000 0.000 0.832 0.120
#> EFA708D5-586A-4184-B614-48AEFC5E8631 5 0.6639 -0.30196 0.024 0.372 0.000 0.124 0.480
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.3630 0.54060 0.000 0.780 0.000 0.016 0.204
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 4 0.4798 0.27142 0.024 0.000 0.000 0.580 0.396
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 5 0.0579 0.69177 0.000 0.008 0.000 0.008 0.984
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.2690 0.75559 0.844 0.000 0.000 0.156 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.5124 0.35208 0.004 0.488 0.000 0.028 0.480
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.5124 0.35208 0.004 0.488 0.000 0.028 0.480
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.3109 0.55388 0.000 0.800 0.000 0.000 0.200
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.3177 0.73081 0.000 0.000 0.000 0.792 0.208
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.5546 0.24733 0.004 0.488 0.000 0.056 0.452
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 5 0.1544 0.72654 0.000 0.000 0.000 0.068 0.932
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.3517 0.80253 0.100 0.000 0.000 0.832 0.068
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0771 0.84405 0.976 0.000 0.000 0.020 0.004
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 5 0.3969 0.64886 0.004 0.000 0.000 0.304 0.692
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 5 0.2773 0.73063 0.000 0.000 0.000 0.164 0.836
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0162 0.54591 0.000 0.996 0.000 0.000 0.004
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0703 0.54750 0.000 0.976 0.000 0.024 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.4541 0.72809 0.172 0.000 0.000 0.744 0.084
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 5 0.1153 0.67798 0.004 0.008 0.000 0.024 0.964
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.2723 0.77898 0.864 0.000 0.000 0.124 0.012
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.98076 0.000 0.000 1.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 5 0.4201 0.47262 0.000 0.000 0.000 0.408 0.592
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.6674 0.02511 0.436 0.000 0.000 0.304 0.260
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 5 0.3532 0.57233 0.000 0.128 0.000 0.048 0.824
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 5 0.4171 0.49969 0.000 0.000 0.000 0.396 0.604
#> 3E070741-BBA0-4806-8D74-08595E249252 5 0.6109 0.35889 0.148 0.000 0.000 0.320 0.532
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 5 0.4732 0.66088 0.076 0.000 0.000 0.208 0.716
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.1341 0.78997 0.944 0.000 0.000 0.056 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.4996 0.20733 0.420 0.000 0.000 0.548 0.032
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.98076 0.000 0.000 1.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 5 0.3177 0.64961 0.208 0.000 0.000 0.000 0.792
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.5124 0.35208 0.004 0.488 0.000 0.028 0.480
#> 4CA559EF-D8B9-400B-972C-693257124C3D 5 0.3280 0.70955 0.012 0.000 0.000 0.176 0.812
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 5 0.1243 0.67577 0.004 0.008 0.000 0.028 0.960
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0693 0.54434 0.000 0.980 0.000 0.012 0.008
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 5 0.4511 0.52483 0.016 0.000 0.000 0.356 0.628
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 5 0.6639 -0.30196 0.024 0.372 0.000 0.124 0.480
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.4650 0.10555 0.000 0.520 0.000 0.012 0.468
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0404 0.54414 0.000 0.988 0.000 0.012 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.3769 0.72492 0.180 0.000 0.000 0.788 0.032
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.4608 0.38347 0.000 0.640 0.000 0.024 0.336
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.4565 0.26187 0.000 0.580 0.000 0.012 0.408
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 5 0.2127 0.73486 0.000 0.000 0.000 0.108 0.892
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.3159 0.81346 0.056 0.000 0.000 0.856 0.088
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0794 0.54751 0.000 0.972 0.000 0.028 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0703 0.84596 0.976 0.000 0.000 0.024 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.3602 0.72612 0.180 0.000 0.000 0.796 0.024
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.98076 0.000 0.000 1.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0771 0.84405 0.976 0.000 0.000 0.020 0.004
#> D227D812-6DF9-4954-9A50-6EBF6486116C 5 0.4946 0.62469 0.060 0.000 0.000 0.276 0.664
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 5 0.1341 0.72208 0.000 0.000 0.000 0.056 0.944
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.3686 0.49118 0.020 0.840 0.008 0.108 0.024
#> 8B23AB23-8931-42CA-972D-1528D44BF218 5 0.2891 0.72744 0.000 0.000 0.000 0.176 0.824
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0324 0.54695 0.000 0.992 0.000 0.004 0.004
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.2660 0.79773 0.008 0.000 0.000 0.864 0.128
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.5124 0.35208 0.004 0.488 0.000 0.028 0.480
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0703 0.84596 0.976 0.000 0.000 0.024 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0703 0.84596 0.976 0.000 0.000 0.024 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.3966 0.79033 0.072 0.000 0.000 0.796 0.132
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 5 0.0162 0.70175 0.000 0.000 0.000 0.004 0.996
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 5 0.3935 0.41173 0.004 0.200 0.000 0.024 0.772
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.6638 -0.03121 0.440 0.000 0.000 0.320 0.240
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.3043 0.81255 0.056 0.000 0.000 0.864 0.080
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 5 0.0992 0.67913 0.000 0.008 0.000 0.024 0.968
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.1124 0.84156 0.960 0.000 0.000 0.036 0.004
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.4980 0.41368 0.380 0.000 0.000 0.584 0.036
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 5 0.1478 0.72545 0.000 0.000 0.000 0.064 0.936
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.5051 0.34693 0.004 0.488 0.000 0.024 0.484
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 5 0.4194 0.70500 0.088 0.000 0.000 0.132 0.780
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.2690 0.74595 0.844 0.000 0.000 0.000 0.156
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 5 0.2516 0.72502 0.000 0.000 0.000 0.140 0.860
#> C7698440-CD13-438F-A60F-063D94C9ECAD 5 0.4074 0.54769 0.000 0.000 0.000 0.364 0.636
#> 57787823-A815-4783-930C-A5752E48FFBA 5 0.3197 0.71933 0.000 0.024 0.000 0.140 0.836
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 5 0.4337 0.62960 0.204 0.000 0.000 0.052 0.744
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 5 0.4254 0.51554 0.024 0.072 0.000 0.100 0.804
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.3366 0.68916 0.004 0.000 0.000 0.784 0.212
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.4430 0.34788 0.000 0.628 0.000 0.012 0.360
#> B11753A0-829F-4913-B894-F07A53FF1C92 5 0.5996 0.28407 0.116 0.000 0.000 0.388 0.496
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 5 0.0162 0.69865 0.004 0.000 0.000 0.000 0.996
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 5 0.1341 0.72208 0.000 0.000 0.000 0.056 0.944
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 5 0.2439 0.73897 0.004 0.000 0.000 0.120 0.876
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.4898 0.27457 0.592 0.000 0.000 0.376 0.032
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.3634 0.81196 0.056 0.020 0.000 0.844 0.080
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 5 0.3143 0.65219 0.204 0.000 0.000 0.000 0.796
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 5 0.2813 0.72932 0.000 0.000 0.000 0.168 0.832
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.3215 0.80057 0.092 0.000 0.000 0.852 0.056
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 5 0.4597 0.01015 0.000 0.424 0.000 0.012 0.564
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0693 0.54434 0.000 0.980 0.000 0.012 0.008
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 5 0.5604 0.00793 0.000 0.456 0.000 0.072 0.472
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 5 0.3932 0.61679 0.000 0.000 0.000 0.328 0.672
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0703 0.84596 0.976 0.000 0.000 0.024 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0771 0.84405 0.976 0.000 0.000 0.020 0.004
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.2471 0.76105 0.864 0.000 0.000 0.000 0.136
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.2707 0.79540 0.008 0.000 0.000 0.860 0.132
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.3754 0.72419 0.816 0.000 0.000 0.100 0.084
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 5 0.3310 0.52700 0.004 0.136 0.000 0.024 0.836
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.2561 0.92088 0.020 0.000 0.884 0.096 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 5 0.2966 0.72279 0.000 0.000 0.000 0.184 0.816
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0703 0.84596 0.976 0.000 0.000 0.024 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.5124 0.35208 0.004 0.488 0.000 0.028 0.480
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.3608 0.79726 0.040 0.000 0.000 0.812 0.148
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 5 0.1608 0.72764 0.000 0.000 0.000 0.072 0.928
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.5039 0.10072 0.000 0.512 0.000 0.032 0.456
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.98076 0.000 0.000 1.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 5 0.5293 0.35180 0.024 0.136 0.000 0.120 0.720
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 5 0.4455 0.00860 0.000 0.404 0.000 0.008 0.588
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 5 0.4287 0.39124 0.000 0.000 0.000 0.460 0.540
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0404 0.82599 0.988 0.000 0.000 0.012 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 5 0.2852 0.72910 0.000 0.000 0.000 0.172 0.828
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.4045 0.39417 0.356 0.000 0.000 0.644 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 5 0.4155 0.34889 0.004 0.228 0.000 0.024 0.744
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.3242 0.69554 0.784 0.000 0.000 0.216 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.98076 0.000 0.000 1.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 5 0.1518 0.71483 0.004 0.004 0.000 0.048 0.944
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 5 0.3983 0.60849 0.000 0.000 0.000 0.340 0.660
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.5124 0.35208 0.004 0.488 0.000 0.028 0.480
#> CC008807-7264-4593-966F-104992B35873 2 0.4980 0.35023 0.000 0.488 0.000 0.028 0.484
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0703 0.84596 0.976 0.000 0.000 0.024 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0703 0.84596 0.976 0.000 0.000 0.024 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.3043 0.81255 0.056 0.000 0.000 0.864 0.080
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 5 0.3336 0.67856 0.000 0.000 0.000 0.228 0.772
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.4527 0.61891 0.272 0.000 0.000 0.692 0.036
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 5 0.4256 0.44624 0.000 0.000 0.000 0.436 0.564
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.4343 0.66627 0.768 0.000 0.000 0.096 0.136
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0865 0.54938 0.000 0.972 0.000 0.024 0.004
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 5 0.4163 0.68443 0.000 0.032 0.000 0.228 0.740
#> 67E92530-3B19-424C-B219-958A88909046 1 0.3242 0.69363 0.784 0.000 0.000 0.216 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 5 0.2514 0.72007 0.044 0.000 0.000 0.060 0.896
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 5 0.3424 0.69288 0.000 0.000 0.000 0.240 0.760
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 5 0.4049 0.68741 0.056 0.000 0.000 0.164 0.780
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.1387 0.7623 0.000 0.932 0.000 0.000 0.068 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 6 0.2178 0.7791 0.000 0.000 0.000 0.132 0.000 0.868
#> B626F298-622E-4C4F-8217-71D1234A6670 6 0.2597 0.7517 0.000 0.000 0.000 0.176 0.000 0.824
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.2762 0.6623 0.000 0.804 0.000 0.000 0.196 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 6 0.5786 0.6850 0.000 0.084 0.000 0.160 0.116 0.640
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 6 0.2092 0.7725 0.000 0.124 0.000 0.000 0.000 0.876
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#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.2537 0.8082 0.032 0.000 0.000 0.872 0.000 0.096
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 6 0.0692 0.7841 0.004 0.000 0.000 0.020 0.000 0.976
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.1663 0.8998 0.000 0.000 0.000 0.000 0.912 0.088
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.9698 0.000 0.000 1.000 0.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 6 0.6218 0.4734 0.012 0.276 0.000 0.060 0.088 0.564
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 6 0.4374 0.0382 0.000 0.448 0.000 0.004 0.016 0.532
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 6 0.4396 0.4314 0.000 0.024 0.000 0.456 0.000 0.520
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0146 0.8179 0.996 0.000 0.000 0.004 0.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 6 0.2178 0.7805 0.000 0.000 0.000 0.132 0.000 0.868
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.3383 0.5950 0.268 0.000 0.000 0.728 0.000 0.004
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.3547 0.3561 0.000 0.668 0.000 0.000 0.000 0.332
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.3266 0.6100 0.728 0.000 0.000 0.272 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.9698 0.000 0.000 1.000 0.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 6 0.2744 0.7813 0.000 0.064 0.000 0.072 0.000 0.864
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 6 0.3620 0.6533 0.000 0.000 0.000 0.352 0.000 0.648
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.7686 0.000 1.000 0.000 0.000 0.000 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.1610 0.7493 0.000 0.916 0.000 0.000 0.000 0.084
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0363 0.8294 0.988 0.000 0.000 0.012 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0363 0.8294 0.988 0.000 0.000 0.012 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.1434 0.8133 0.048 0.000 0.000 0.940 0.000 0.012
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 6 0.3539 0.7227 0.000 0.024 0.000 0.220 0.000 0.756
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.4489 0.6352 0.232 0.040 0.000 0.704 0.000 0.024
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 6 0.4224 0.4920 0.000 0.016 0.000 0.432 0.000 0.552
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.5868 0.5981 0.684 0.056 0.000 0.064 0.088 0.108
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.2771 0.7364 0.000 0.852 0.000 0.000 0.116 0.032
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 6 0.3819 0.6826 0.000 0.000 0.000 0.316 0.012 0.672
#> 67E92530-3B19-424C-B219-958A88909046 1 0.3151 0.6392 0.748 0.000 0.000 0.252 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 6 0.3432 0.7733 0.036 0.044 0.000 0.084 0.000 0.836
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 6 0.3464 0.6939 0.000 0.000 0.000 0.312 0.000 0.688
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 6 0.4185 0.7416 0.044 0.044 0.000 0.140 0.000 0.772
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 17604 rows and 183 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 0.980 0.989 0.206 0.787 0.787
#> 3 3 0.337 0.694 0.784 1.480 0.614 0.510
#> 4 4 0.383 0.677 0.791 0.131 0.778 0.587
#> 5 5 0.382 0.545 0.752 0.161 0.847 0.673
#> 6 6 0.531 0.496 0.732 0.141 0.784 0.421
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 1 0.0000 0.996 1.000 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.0000 0.996 1.000 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.0000 0.996 1.000 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 1 0.0000 0.996 1.000 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.0000 0.996 1.000 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 1 0.0000 0.996 1.000 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 1 0.0000 0.996 1.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.0000 0.996 1.000 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.996 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.0000 0.996 1.000 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.996 1.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.0000 0.933 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 2 0.0000 0.933 0.000 1.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 2 0.0000 0.933 0.000 1.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.996 1.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 1 0.0000 0.996 1.000 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 1 0.0000 0.996 1.000 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 0.996 1.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 1 0.0000 0.996 1.000 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 1 0.0000 0.996 1.000 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 1 0.0000 0.996 1.000 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.0000 0.933 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.996 1.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.0000 0.996 1.000 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 1 0.7376 0.714 0.792 0.208
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.996 1.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 1 0.0000 0.996 1.000 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.0000 0.996 1.000 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.0000 0.933 0.000 1.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.996 1.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.0000 0.933 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 0.996 1.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0376 0.992 0.996 0.004
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 0.996 1.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.0000 0.996 1.000 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 1 0.0000 0.996 1.000 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.996 1.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0000 0.996 1.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.0000 0.996 1.000 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.0000 0.996 1.000 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.7219 0.820 0.200 0.800
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 1 0.0000 0.996 1.000 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.996 1.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0000 0.996 1.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 1 0.0000 0.996 1.000 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 1 0.0000 0.996 1.000 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.6048 0.812 0.852 0.148
#> 081452CB-9401-4678-9BA2-431CB2ECF105 1 0.0000 0.996 1.000 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.0000 0.996 1.000 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.996 1.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 1 0.0000 0.996 1.000 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.0000 0.996 1.000 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.996 1.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.7139 0.824 0.196 0.804
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 1 0.0000 0.996 1.000 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 2 0.7219 0.820 0.200 0.800
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 1 0.0000 0.996 1.000 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.996 1.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 1 0.0000 0.996 1.000 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 1 0.0000 0.996 1.000 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 1 0.0000 0.996 1.000 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0000 0.996 1.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 1 0.0000 0.996 1.000 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0000 0.996 1.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.996 1.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.996 1.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.0000 0.996 1.000 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.0000 0.996 1.000 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 1 0.0000 0.996 1.000 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 1 0.0000 0.996 1.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.996 1.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 1 0.0000 0.996 1.000 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.996 1.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.0000 0.933 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.996 1.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.996 1.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 1 0.0000 0.996 1.000 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0000 0.996 1.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.996 1.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.0000 0.996 1.000 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 2 0.0000 0.933 0.000 1.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.996 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.0000 0.933 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.0000 0.996 1.000 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 1 0.0000 0.996 1.000 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.996 1.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 1 0.0000 0.996 1.000 0.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 1 0.0000 0.996 1.000 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0000 0.996 1.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.7139 0.824 0.196 0.804
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 1 0.0000 0.996 1.000 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 1 0.0376 0.992 0.996 0.004
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.996 1.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 1 0.0000 0.996 1.000 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 1 0.0000 0.996 1.000 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.0000 0.996 1.000 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0000 0.996 1.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 1 0.0000 0.996 1.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.996 1.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.996 1.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 2 0.0000 0.933 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.996 1.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.996 1.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 1 0.0000 0.996 1.000 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0672 0.930 0.008 0.992
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.0000 0.996 1.000 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 1 0.0000 0.996 1.000 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0000 0.996 1.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 1 0.0000 0.996 1.000 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.996 1.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.996 1.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.996 1.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 1 0.0000 0.996 1.000 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 1 0.0000 0.996 1.000 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0000 0.996 1.000 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.996 1.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 1 0.0000 0.996 1.000 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.996 1.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0000 0.996 1.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.996 1.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 1 0.0000 0.996 1.000 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.996 1.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 2 0.7139 0.824 0.196 0.804
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.0000 0.996 1.000 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.0000 0.996 1.000 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 1 0.0000 0.996 1.000 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0000 0.996 1.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 1 0.0000 0.996 1.000 0.000
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.996 1.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 1 0.4562 0.886 0.904 0.096
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.996 1.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 1 0.0000 0.996 1.000 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 1 0.0000 0.996 1.000 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.0000 0.996 1.000 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.996 1.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0376 0.992 0.996 0.004
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.0000 0.996 1.000 0.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.0000 0.996 1.000 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.996 1.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 1 0.0000 0.996 1.000 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 1 0.0000 0.996 1.000 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 1 0.0000 0.996 1.000 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.0000 0.996 1.000 0.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.996 1.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.996 1.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.6048 0.812 0.852 0.148
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.996 1.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 0.996 1.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 1 0.0000 0.996 1.000 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.0000 0.933 0.000 1.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 1 0.0000 0.996 1.000 0.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.996 1.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 1 0.0000 0.996 1.000 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.996 1.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.0000 0.996 1.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 1 0.0000 0.996 1.000 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.0000 0.933 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.7139 0.824 0.196 0.804
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 1 0.0000 0.996 1.000 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.0000 0.996 1.000 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 2 0.0000 0.933 0.000 1.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 1 0.0000 0.996 1.000 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.996 1.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 1 0.0000 0.996 1.000 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.996 1.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.0000 0.933 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 1 0.0000 0.996 1.000 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.0000 0.996 1.000 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 1 0.0000 0.996 1.000 0.000
#> CC008807-7264-4593-966F-104992B35873 1 0.0000 0.996 1.000 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.996 1.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.996 1.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.996 1.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.0000 0.996 1.000 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0000 0.996 1.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.0000 0.996 1.000 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 2 0.7139 0.824 0.196 0.804
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 1 0.0000 0.996 1.000 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.0000 0.996 1.000 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.996 1.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.996 1.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.996 1.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.1163 0.7473 0.028 0.972 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.6140 0.2091 0.404 0.596 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.6260 -0.0171 0.448 0.552 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.7671 0.000 1.000 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.5058 0.6265 0.244 0.756 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.4887 0.6302 0.228 0.772 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.4235 0.7056 0.176 0.824 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.6225 0.5395 0.568 0.432 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.5497 0.8111 0.708 0.292 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.6280 -0.0867 0.460 0.540 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.5138 0.8246 0.748 0.252 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.8412 0.000 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 3 0.7536 0.8131 0.304 0.064 0.632
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 3 0.7536 0.8131 0.304 0.064 0.632
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.4121 0.7274 0.832 0.168 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.1163 0.7521 0.028 0.972 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.3941 0.7207 0.156 0.844 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.5397 0.8165 0.720 0.280 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.4062 0.7051 0.164 0.836 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0424 0.7689 0.008 0.992 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.2537 0.7562 0.080 0.920 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.8412 0.000 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.5733 0.7972 0.676 0.324 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.6111 0.0422 0.396 0.604 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.3267 0.6176 0.116 0.884 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.5291 0.8210 0.732 0.268 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.3482 0.7407 0.128 0.872 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.6543 0.7568 0.640 0.344 0.016
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 0.8412 0.000 0.000 1.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.5016 0.8211 0.760 0.240 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.8412 0.000 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.5678 0.7879 0.684 0.316 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.6603 0.7337 0.648 0.332 0.020
#> AA838488-4A13-4998-B261-91590113F37D 1 0.3941 0.6822 0.844 0.156 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.6295 -0.2981 0.472 0.528 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.5760 0.4740 0.328 0.672 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.5138 0.8246 0.748 0.252 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.5621 0.7953 0.692 0.308 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 2 0.6305 -0.2139 0.484 0.516 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.5882 0.7561 0.652 0.348 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.9191 0.7459 0.208 0.256 0.536
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.4346 0.6846 0.184 0.816 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.5465 0.8155 0.712 0.288 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.5882 0.7833 0.652 0.348 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.5363 0.5811 0.276 0.724 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.2537 0.7582 0.080 0.920 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.9410 -0.2205 0.504 0.276 0.220
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0000 0.7671 0.000 1.000 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.5678 0.7894 0.684 0.316 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.5560 0.8083 0.700 0.300 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.3941 0.7207 0.156 0.844 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.6235 0.5867 0.564 0.436 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.5098 0.8239 0.752 0.248 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.9018 0.7400 0.176 0.276 0.548
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.7671 0.000 1.000 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 3 0.9654 0.7226 0.320 0.228 0.452
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.3551 0.7263 0.132 0.868 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.5138 0.8246 0.748 0.252 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0237 0.7684 0.004 0.996 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0424 0.7664 0.008 0.992 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.3752 0.7303 0.144 0.856 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.5560 0.8055 0.700 0.300 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.2711 0.7555 0.088 0.912 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.6180 0.6684 0.584 0.416 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.5098 0.8239 0.752 0.248 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.3038 0.6252 0.896 0.104 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.5926 0.3637 0.356 0.644 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.5835 0.7552 0.660 0.340 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.1964 0.7588 0.056 0.944 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0237 0.7684 0.004 0.996 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.5327 0.8132 0.728 0.272 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.1289 0.7487 0.032 0.968 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.3116 0.7157 0.892 0.108 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.8412 0.000 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.5591 0.7990 0.696 0.304 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.5327 0.8056 0.728 0.272 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0237 0.7684 0.004 0.996 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.5678 0.7876 0.684 0.316 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.5138 0.8246 0.748 0.252 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.5621 0.7953 0.692 0.308 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 3 0.7481 0.8137 0.296 0.064 0.640
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.5138 0.8246 0.748 0.252 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.8412 0.000 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.6235 0.5978 0.564 0.436 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.1411 0.7454 0.036 0.964 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.5529 0.8137 0.704 0.296 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.2537 0.7560 0.080 0.920 0.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.3038 0.7519 0.104 0.896 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.5621 0.7953 0.692 0.308 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 3 0.9018 0.7400 0.176 0.276 0.548
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.3879 0.7241 0.152 0.848 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.1529 0.7610 0.040 0.960 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.5098 0.8239 0.752 0.248 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.3941 0.7207 0.156 0.844 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.3941 0.7207 0.156 0.844 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.5859 0.4285 0.344 0.656 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.5706 0.7883 0.680 0.320 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.3340 0.6099 0.120 0.880 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.2959 0.6204 0.900 0.100 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.5098 0.8239 0.752 0.248 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.8412 0.000 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.3192 0.6345 0.888 0.112 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.5560 0.8109 0.700 0.300 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.3686 0.7227 0.140 0.860 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 3 0.6990 0.8249 0.164 0.108 0.728
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.5926 0.7306 0.644 0.356 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.2448 0.7587 0.076 0.924 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.5431 0.8142 0.716 0.284 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.7671 0.000 1.000 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.2261 0.6748 0.932 0.068 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.2625 0.6472 0.916 0.084 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.5138 0.8246 0.748 0.252 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.4399 0.6793 0.188 0.812 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0237 0.7684 0.004 0.996 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.5138 0.8246 0.748 0.252 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.5138 0.8246 0.748 0.252 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.2356 0.7596 0.072 0.928 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.2878 0.6469 0.904 0.096 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.3045 0.6508 0.916 0.064 0.020
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.5968 0.7648 0.636 0.364 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0237 0.7684 0.004 0.996 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.5397 0.7936 0.720 0.280 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.9638 0.7302 0.308 0.232 0.460
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.5835 0.3715 0.340 0.660 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.5327 0.8198 0.728 0.272 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.3816 0.7143 0.148 0.852 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.5591 0.7989 0.696 0.304 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.4418 0.5870 0.132 0.848 0.020
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.5254 0.8222 0.736 0.264 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.5276 0.7015 0.052 0.820 0.128
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.5529 0.8111 0.704 0.296 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.1753 0.7662 0.048 0.952 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.4702 0.6520 0.212 0.788 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.5650 0.7916 0.688 0.312 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.5098 0.8239 0.752 0.248 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.6161 0.7976 0.708 0.272 0.020
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.6513 -0.0221 0.400 0.592 0.008
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.6008 0.6983 0.628 0.372 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.5138 0.8246 0.748 0.252 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.1031 0.7710 0.024 0.976 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.1031 0.7507 0.024 0.976 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.5431 0.5636 0.284 0.716 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.6244 0.0321 0.440 0.560 0.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.2959 0.6204 0.900 0.100 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.3116 0.6299 0.892 0.108 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.7164 0.2110 0.680 0.256 0.064
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.5678 0.7887 0.684 0.316 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.4605 0.7266 0.796 0.204 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0237 0.7684 0.004 0.996 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 0.8412 0.000 0.000 1.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.5733 0.4859 0.324 0.676 0.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.4346 0.7095 0.816 0.184 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0237 0.7684 0.004 0.996 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.5138 0.8246 0.748 0.252 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.6111 0.7203 0.604 0.396 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 1 0.6126 0.6494 0.600 0.400 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.8412 0.000 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.8886 0.7644 0.188 0.240 0.572
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.4654 0.6815 0.208 0.792 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.6291 0.4417 0.532 0.468 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 3 0.7536 0.8131 0.304 0.064 0.632
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.5560 0.5384 0.300 0.700 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.5138 0.8246 0.748 0.252 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0237 0.7684 0.004 0.996 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.5098 0.8239 0.752 0.248 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.8412 0.000 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.3267 0.7405 0.116 0.884 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.5706 0.7826 0.680 0.320 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0237 0.7684 0.004 0.996 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0424 0.7689 0.008 0.992 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.3038 0.6419 0.896 0.104 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.2878 0.6541 0.904 0.096 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.5497 0.8087 0.708 0.292 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.5760 0.7734 0.672 0.328 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.5200 0.7352 0.796 0.184 0.020
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.6291 0.4113 0.532 0.468 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.9613 0.7326 0.308 0.228 0.464
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.7671 0.000 1.000 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.6062 0.2723 0.384 0.616 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.5138 0.8246 0.748 0.252 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.3879 0.6111 0.848 0.152 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.5591 0.7990 0.696 0.304 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.5591 0.7995 0.696 0.304 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.3591 0.6527 0.008 0.824 0.000 0.168
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.4401 0.6501 0.724 0.272 0.000 0.004
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.3870 0.7274 0.788 0.208 0.000 0.004
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.1398 0.6917 0.004 0.956 0.000 0.040
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.7278 0.2435 0.508 0.324 0.000 0.168
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 1 0.5070 0.4679 0.580 0.416 0.000 0.004
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.6207 0.1002 0.452 0.496 0.000 0.052
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.3539 0.7551 0.820 0.176 0.000 0.004
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.1557 0.7901 0.944 0.000 0.000 0.056
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.3494 0.7534 0.824 0.172 0.000 0.004
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.1109 0.8041 0.968 0.028 0.000 0.004
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.9978 0.000 0.000 1.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 4 0.4609 0.5824 0.024 0.000 0.224 0.752
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 4 0.4609 0.5824 0.024 0.000 0.224 0.752
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.4781 0.7117 0.752 0.036 0.000 0.212
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0376 0.6987 0.004 0.992 0.000 0.004
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.5470 0.6374 0.100 0.732 0.000 0.168
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.1211 0.8049 0.960 0.040 0.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 1 0.5158 0.3124 0.524 0.472 0.000 0.004
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.2699 0.6979 0.068 0.904 0.000 0.028
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.3942 0.5952 0.236 0.764 0.000 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.9978 0.000 0.000 1.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.2976 0.7895 0.872 0.120 0.000 0.008
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.4406 0.6592 0.700 0.300 0.000 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.4331 0.4947 0.000 0.712 0.000 0.288
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0707 0.8034 0.980 0.020 0.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.5982 0.6200 0.204 0.684 0.000 0.112
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.4418 0.6982 0.784 0.032 0.000 0.184
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0592 0.9796 0.000 0.000 0.984 0.016
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.1109 0.8041 0.968 0.028 0.000 0.004
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.9978 0.000 0.000 1.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.2530 0.7955 0.896 0.100 0.000 0.004
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.4770 0.5418 0.700 0.012 0.000 0.288
#> AA838488-4A13-4998-B261-91590113F37D 1 0.4318 0.7521 0.816 0.068 0.000 0.116
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.4018 0.7482 0.772 0.224 0.000 0.004
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 1 0.4509 0.6275 0.708 0.288 0.000 0.004
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0895 0.8034 0.976 0.020 0.000 0.004
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.1489 0.8053 0.952 0.044 0.000 0.004
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.3257 0.7760 0.844 0.152 0.000 0.004
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.4336 0.7562 0.812 0.060 0.000 0.128
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 4 0.6132 0.6880 0.020 0.248 0.056 0.676
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 1 0.5126 0.4026 0.552 0.444 0.000 0.004
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.1489 0.8047 0.952 0.044 0.000 0.004
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.3032 0.7932 0.868 0.124 0.000 0.008
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 1 0.4889 0.5045 0.636 0.360 0.000 0.004
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.5072 0.6397 0.208 0.740 0.000 0.052
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.7972 -0.2540 0.376 0.252 0.004 0.368
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.1109 0.7012 0.004 0.968 0.000 0.028
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.2888 0.7825 0.872 0.124 0.000 0.004
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.2918 0.7923 0.876 0.116 0.000 0.008
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.5573 0.5869 0.272 0.676 0.000 0.052
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.6346 0.5811 0.656 0.152 0.000 0.192
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0657 0.7983 0.984 0.004 0.000 0.012
#> EFA708D5-586A-4184-B614-48AEFC5E8631 4 0.6673 0.6369 0.000 0.252 0.140 0.608
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.1151 0.7005 0.008 0.968 0.000 0.024
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 4 0.6566 0.6704 0.128 0.140 0.036 0.696
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.5070 0.1165 0.416 0.580 0.000 0.004
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0895 0.8034 0.976 0.020 0.000 0.004
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.1004 0.6913 0.004 0.972 0.000 0.024
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.1109 0.6882 0.004 0.968 0.000 0.028
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.5540 0.6437 0.164 0.728 0.000 0.108
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.1557 0.7901 0.944 0.000 0.000 0.056
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.4699 0.4444 0.320 0.676 0.000 0.004
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.4049 0.7549 0.780 0.212 0.000 0.008
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0524 0.7988 0.988 0.008 0.000 0.004
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.5993 0.5857 0.628 0.064 0.000 0.308
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.6640 0.4975 0.604 0.268 0.000 0.128
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.3402 0.7638 0.832 0.164 0.000 0.004
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.4599 0.6513 0.088 0.800 0.000 0.112
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.1209 0.6921 0.004 0.964 0.000 0.032
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.1256 0.8007 0.964 0.008 0.000 0.028
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.3441 0.6545 0.024 0.856 0.000 0.120
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.2142 0.7942 0.928 0.016 0.000 0.056
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.9978 0.000 0.000 1.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.1576 0.8043 0.948 0.048 0.000 0.004
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.2775 0.7990 0.896 0.084 0.000 0.020
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0336 0.7005 0.008 0.992 0.000 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.2714 0.7883 0.884 0.112 0.000 0.004
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.1211 0.8049 0.960 0.040 0.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.2334 0.7978 0.908 0.088 0.000 0.004
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 4 0.4711 0.5713 0.024 0.000 0.236 0.740
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0707 0.8034 0.980 0.020 0.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.9978 0.000 0.000 1.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.5058 0.7548 0.768 0.128 0.000 0.104
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.1209 0.6920 0.004 0.964 0.000 0.032
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.1576 0.8063 0.948 0.048 0.000 0.004
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.4889 0.3644 0.360 0.636 0.000 0.004
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.4834 0.6585 0.120 0.784 0.000 0.096
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0657 0.8034 0.984 0.012 0.000 0.004
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 4 0.6483 0.6030 0.000 0.312 0.096 0.592
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.6213 0.0654 0.464 0.484 0.000 0.052
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.5759 0.5831 0.080 0.688 0.000 0.232
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0524 0.7988 0.988 0.008 0.000 0.004
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.5222 0.6332 0.112 0.756 0.000 0.132
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.6155 0.2731 0.412 0.536 0.000 0.052
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.4584 0.6015 0.696 0.300 0.000 0.004
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.3529 0.7307 0.836 0.012 0.000 0.152
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.3610 0.5968 0.000 0.800 0.000 0.200
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.5926 0.5892 0.632 0.060 0.000 0.308
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.1824 0.7874 0.936 0.004 0.000 0.060
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.9978 0.000 0.000 1.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.6016 0.5930 0.632 0.068 0.000 0.300
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.2859 0.7937 0.880 0.112 0.000 0.008
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.4981 -0.1056 0.464 0.536 0.000 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 4 0.7198 0.5103 0.000 0.180 0.280 0.540
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.3539 0.7506 0.820 0.176 0.000 0.004
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.6098 0.5744 0.292 0.632 0.000 0.076
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.1557 0.7901 0.944 0.000 0.000 0.056
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.1004 0.6913 0.004 0.972 0.000 0.024
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.4690 0.6758 0.724 0.016 0.000 0.260
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.4826 0.6663 0.716 0.020 0.000 0.264
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0376 0.7983 0.992 0.004 0.000 0.004
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 1 0.4877 0.6341 0.664 0.328 0.000 0.008
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0336 0.7005 0.008 0.992 0.000 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.1211 0.8049 0.960 0.040 0.000 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.1743 0.7884 0.940 0.004 0.000 0.056
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.4543 0.4248 0.324 0.676 0.000 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.3160 0.7757 0.872 0.020 0.000 0.108
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.2376 0.7905 0.916 0.016 0.000 0.068
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.3668 0.7694 0.808 0.188 0.000 0.004
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.1004 0.6913 0.004 0.972 0.000 0.024
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.2840 0.7905 0.900 0.056 0.000 0.044
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 4 0.6409 0.6888 0.112 0.144 0.036 0.708
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.3945 0.7345 0.780 0.216 0.000 0.004
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.1209 0.8044 0.964 0.032 0.000 0.004
#> 57787823-A815-4783-930C-A5752E48FFBA 1 0.4761 0.5716 0.628 0.372 0.000 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.3099 0.7917 0.876 0.104 0.000 0.020
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.4197 0.5771 0.036 0.808 0.000 0.156
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0376 0.7988 0.992 0.004 0.000 0.004
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.6421 0.3689 0.068 0.576 0.004 0.352
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.2773 0.7939 0.880 0.116 0.000 0.004
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.3569 0.6294 0.196 0.804 0.000 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 1 0.4817 0.5375 0.612 0.388 0.000 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.2999 0.7815 0.864 0.132 0.000 0.004
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0895 0.8035 0.976 0.020 0.000 0.004
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.4795 0.5348 0.696 0.012 0.000 0.292
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.6661 0.5203 0.604 0.264 0.000 0.132
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.3306 0.7672 0.840 0.156 0.000 0.004
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0657 0.7985 0.984 0.004 0.000 0.012
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.4673 0.5077 0.292 0.700 0.000 0.008
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.3271 0.6761 0.012 0.856 0.000 0.132
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 1 0.5244 0.3962 0.600 0.388 0.000 0.012
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.3751 0.7390 0.800 0.196 0.000 0.004
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.5993 0.5857 0.628 0.064 0.000 0.308
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.6016 0.5930 0.632 0.068 0.000 0.300
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 4 0.6648 0.5965 0.140 0.248 0.000 0.612
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.1211 0.8053 0.960 0.040 0.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.3312 0.7807 0.876 0.072 0.000 0.052
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0376 0.6966 0.004 0.992 0.000 0.004
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 0.9978 0.000 0.000 1.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 1 0.4632 0.5937 0.688 0.308 0.000 0.004
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.5727 0.6811 0.692 0.080 0.000 0.228
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.1109 0.6882 0.004 0.968 0.000 0.028
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0188 0.7988 0.996 0.004 0.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.4194 0.7432 0.764 0.228 0.000 0.008
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 1 0.4814 0.5663 0.676 0.316 0.000 0.008
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.9978 0.000 0.000 1.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 4 0.6757 0.6506 0.000 0.192 0.196 0.612
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 1 0.4948 0.3349 0.560 0.440 0.000 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.6229 0.5917 0.656 0.228 0.000 0.116
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 4 0.4609 0.5824 0.024 0.000 0.224 0.752
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 1 0.4608 0.5887 0.692 0.304 0.000 0.004
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0779 0.7979 0.980 0.004 0.000 0.016
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.2101 0.6932 0.012 0.928 0.000 0.060
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.1151 0.8050 0.968 0.024 0.000 0.008
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.9978 0.000 0.000 1.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 1 0.4989 0.2992 0.528 0.472 0.000 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.2593 0.7945 0.892 0.104 0.000 0.004
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.1004 0.6913 0.004 0.972 0.000 0.024
#> CC008807-7264-4593-966F-104992B35873 2 0.1151 0.6948 0.008 0.968 0.000 0.024
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.4636 0.7426 0.792 0.068 0.000 0.140
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.4988 0.6415 0.692 0.020 0.000 0.288
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.1488 0.8010 0.956 0.012 0.000 0.032
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.3355 0.7665 0.836 0.160 0.000 0.004
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.4697 0.5286 0.696 0.008 0.000 0.296
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.3583 0.7521 0.816 0.180 0.000 0.004
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 4 0.5693 0.6961 0.080 0.124 0.036 0.760
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.2988 0.6843 0.012 0.876 0.000 0.112
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.4697 0.5968 0.696 0.296 0.000 0.008
#> 67E92530-3B19-424C-B219-958A88909046 1 0.1211 0.8049 0.960 0.040 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.3439 0.7806 0.868 0.048 0.000 0.084
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.1302 0.8048 0.956 0.044 0.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.2924 0.7893 0.884 0.100 0.000 0.016
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.1518 0.687500 0.016 0.952 0.000 0.012 0.020
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.4436 0.585113 0.008 0.068 0.000 0.768 0.156
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.3894 0.619915 0.008 0.036 0.000 0.800 0.156
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0404 0.691534 0.000 0.988 0.000 0.012 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 5 0.4573 0.531203 0.000 0.092 0.000 0.164 0.744
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 4 0.5436 0.522925 0.012 0.176 0.000 0.688 0.124
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.7333 -0.191987 0.024 0.372 0.000 0.292 0.312
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.2577 0.698807 0.008 0.016 0.000 0.892 0.084
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.4341 0.176236 0.004 0.000 0.000 0.592 0.404
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.2646 0.680034 0.004 0.004 0.000 0.868 0.124
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.1571 0.729595 0.004 0.000 0.000 0.936 0.060
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.999242 0.000 0.000 1.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.1954 0.416737 0.932 0.000 0.032 0.028 0.008
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.1954 0.416737 0.932 0.000 0.032 0.028 0.008
#> 785376B4-CBAE-4014-B08C-58A42A88583B 4 0.6658 0.113496 0.324 0.040 0.000 0.528 0.108
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0807 0.691728 0.000 0.976 0.000 0.012 0.012
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.6834 -0.000366 0.028 0.400 0.000 0.136 0.436
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 4 0.2696 0.731537 0.012 0.052 0.000 0.896 0.040
#> 851B9B77-547A-43CC-B939-428E0A26C67C 4 0.6172 0.109873 0.012 0.356 0.000 0.528 0.104
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.2537 0.682833 0.056 0.904 0.000 0.024 0.016
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.5527 0.419741 0.008 0.656 0.000 0.232 0.104
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.999242 0.000 0.000 1.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 4 0.4023 0.696480 0.016 0.076 0.000 0.816 0.092
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.3985 0.624704 0.004 0.072 0.000 0.804 0.120
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.2362 0.664246 0.084 0.900 0.000 0.008 0.008
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.1571 0.719502 0.004 0.000 0.000 0.936 0.060
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.7144 0.198277 0.024 0.344 0.000 0.212 0.420
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 5 0.4009 0.491404 0.004 0.000 0.000 0.312 0.684
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0290 0.993147 0.008 0.000 0.992 0.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 4 0.2756 0.720213 0.024 0.004 0.000 0.880 0.092
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.999242 0.000 0.000 1.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.2198 0.718301 0.012 0.020 0.000 0.920 0.048
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 5 0.4552 0.303000 0.040 0.000 0.000 0.264 0.696
#> AA838488-4A13-4998-B261-91590113F37D 4 0.6047 0.473210 0.172 0.044 0.000 0.660 0.124
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 4 0.4735 0.613811 0.012 0.132 0.000 0.756 0.100
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 4 0.4191 0.589486 0.004 0.060 0.000 0.780 0.156
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 4 0.3111 0.696073 0.004 0.012 0.000 0.840 0.144
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.1892 0.717327 0.004 0.000 0.000 0.916 0.080
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.4201 0.651574 0.012 0.096 0.000 0.800 0.092
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 5 0.4060 0.476791 0.000 0.000 0.000 0.360 0.640
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.7204 0.056670 0.492 0.352 0.060 0.076 0.020
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 4 0.5729 0.439737 0.012 0.248 0.000 0.636 0.104
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 4 0.2100 0.729671 0.012 0.048 0.000 0.924 0.016
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 4 0.2554 0.718290 0.008 0.076 0.000 0.896 0.020
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 4 0.5924 0.146627 0.004 0.264 0.000 0.596 0.136
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.7111 0.119378 0.024 0.460 0.000 0.240 0.276
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 4 0.6914 0.103865 0.324 0.052 0.000 0.508 0.116
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.3784 0.652790 0.024 0.816 0.000 0.020 0.140
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.3333 0.631837 0.000 0.004 0.000 0.788 0.208
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 4 0.3867 0.702921 0.012 0.076 0.000 0.824 0.088
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.5976 0.129278 0.000 0.508 0.000 0.376 0.116
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 5 0.4632 0.473585 0.024 0.008 0.000 0.284 0.684
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.3966 0.635301 0.008 0.012 0.000 0.756 0.224
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.6603 0.120091 0.392 0.448 0.148 0.000 0.012
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0693 0.692302 0.000 0.980 0.000 0.012 0.008
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.6296 0.258305 0.496 0.056 0.008 0.412 0.028
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.5885 0.355843 0.008 0.604 0.000 0.272 0.116
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 4 0.3111 0.696073 0.004 0.012 0.000 0.840 0.144
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0404 0.691534 0.000 0.988 0.000 0.012 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0404 0.691534 0.000 0.988 0.000 0.012 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.6922 -0.039453 0.024 0.416 0.000 0.160 0.400
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.4367 0.152907 0.004 0.000 0.000 0.580 0.416
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.5462 0.465190 0.008 0.676 0.000 0.192 0.124
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 4 0.3997 0.676846 0.012 0.112 0.000 0.812 0.064
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.2806 0.700888 0.004 0.000 0.000 0.844 0.152
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.6289 0.570855 0.612 0.040 0.000 0.240 0.108
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 5 0.5060 0.558832 0.000 0.092 0.000 0.224 0.684
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.2037 0.709384 0.004 0.012 0.000 0.920 0.064
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.6492 0.404315 0.028 0.580 0.000 0.152 0.240
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0404 0.691534 0.000 0.988 0.000 0.012 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.3129 0.697101 0.008 0.004 0.000 0.832 0.156
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.5813 0.594402 0.124 0.700 0.000 0.080 0.096
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.4449 0.631392 0.104 0.008 0.000 0.776 0.112
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.999242 0.000 0.000 1.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.0963 0.725010 0.000 0.000 0.000 0.964 0.036
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 4 0.3446 0.706381 0.016 0.028 0.000 0.844 0.112
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.2208 0.680354 0.000 0.908 0.000 0.020 0.072
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.1991 0.710058 0.004 0.004 0.000 0.916 0.076
#> 3E070741-BBA0-4806-8D74-08595E249252 4 0.0912 0.732106 0.012 0.000 0.000 0.972 0.016
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.1116 0.723148 0.004 0.004 0.000 0.964 0.028
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.2522 0.402101 0.904 0.000 0.056 0.028 0.012
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.2068 0.718759 0.004 0.000 0.000 0.904 0.092
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.999242 0.000 0.000 1.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 4 0.6642 0.474881 0.144 0.064 0.000 0.608 0.184
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0404 0.691534 0.000 0.988 0.000 0.012 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.1357 0.730884 0.004 0.000 0.000 0.948 0.048
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.5980 0.152470 0.012 0.520 0.000 0.388 0.080
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.6970 0.124050 0.024 0.460 0.000 0.180 0.336
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.2929 0.648546 0.000 0.000 0.000 0.820 0.180
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.5736 0.224692 0.392 0.536 0.060 0.000 0.012
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 5 0.7272 0.279470 0.024 0.316 0.000 0.260 0.400
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.5651 0.482343 0.028 0.680 0.000 0.100 0.192
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.3280 0.688562 0.004 0.012 0.000 0.824 0.160
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.7019 0.014594 0.036 0.420 0.000 0.144 0.400
#> F7B2E263-F0AE-440E-96C5-139233079A06 5 0.7300 0.230594 0.024 0.332 0.000 0.264 0.380
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.4352 0.572886 0.004 0.076 0.000 0.772 0.148
#> 17349241-FDBC-4297-8431-BB9400D87E63 5 0.4356 0.404470 0.012 0.000 0.000 0.340 0.648
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.2050 0.671984 0.064 0.920 0.000 0.008 0.008
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.6241 0.571347 0.620 0.040 0.000 0.232 0.108
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.4305 0.568021 0.004 0.012 0.000 0.688 0.296
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.999242 0.000 0.000 1.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.6289 0.570855 0.612 0.040 0.000 0.240 0.108
#> D227D812-6DF9-4954-9A50-6EBF6486116C 4 0.2930 0.720075 0.012 0.076 0.000 0.880 0.032
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.6426 0.112238 0.012 0.488 0.000 0.372 0.128
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 1 0.7743 -0.035980 0.364 0.272 0.308 0.000 0.056
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.2678 0.697995 0.004 0.016 0.000 0.880 0.100
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.5728 0.356047 0.004 0.612 0.000 0.272 0.112
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.3661 0.534493 0.000 0.000 0.000 0.724 0.276
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0404 0.691534 0.000 0.988 0.000 0.012 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.6041 0.516320 0.588 0.008 0.000 0.272 0.132
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 4 0.6687 -0.246921 0.424 0.032 0.000 0.436 0.108
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.3154 0.692975 0.004 0.012 0.000 0.836 0.148
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 4 0.5142 0.573356 0.012 0.144 0.000 0.720 0.124
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.2236 0.680035 0.000 0.908 0.000 0.024 0.068
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 4 0.1095 0.733985 0.012 0.008 0.000 0.968 0.012
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.3239 0.683491 0.004 0.012 0.000 0.828 0.156
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.4817 0.579577 0.016 0.752 0.000 0.140 0.092
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 4 0.5790 0.484566 0.176 0.028 0.000 0.672 0.124
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.5209 0.528193 0.172 0.008 0.000 0.704 0.116
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 4 0.2956 0.709352 0.012 0.096 0.000 0.872 0.020
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0404 0.691534 0.000 0.988 0.000 0.012 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 4 0.4489 0.650151 0.072 0.028 0.000 0.788 0.112
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.7433 0.339876 0.504 0.196 0.036 0.248 0.016
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.2878 0.691723 0.004 0.048 0.000 0.880 0.068
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.1952 0.724788 0.000 0.004 0.000 0.912 0.084
#> 57787823-A815-4783-930C-A5752E48FFBA 4 0.5597 0.490223 0.012 0.220 0.000 0.660 0.108
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 4 0.4179 0.681781 0.012 0.076 0.000 0.800 0.112
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.5028 0.569575 0.188 0.728 0.000 0.052 0.032
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.2681 0.704486 0.004 0.012 0.000 0.876 0.108
#> 08C4C14A-94A8-4063-BBC3-916579960078 5 0.6255 0.092743 0.076 0.328 0.004 0.028 0.564
#> B11753A0-829F-4913-B894-F07A53FF1C92 4 0.2507 0.723428 0.012 0.072 0.000 0.900 0.016
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.5379 0.460728 0.000 0.648 0.000 0.244 0.108
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 4 0.5220 0.561301 0.012 0.152 0.000 0.712 0.124
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.1788 0.713442 0.004 0.008 0.000 0.932 0.056
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.2583 0.710177 0.004 0.000 0.000 0.864 0.132
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 5 0.4302 0.262716 0.032 0.000 0.000 0.248 0.720
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 4 0.7540 0.271942 0.196 0.116 0.000 0.516 0.172
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.2332 0.709750 0.004 0.016 0.000 0.904 0.076
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.3719 0.644460 0.004 0.012 0.000 0.776 0.208
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.6384 0.346858 0.024 0.572 0.000 0.276 0.128
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.2379 0.679966 0.028 0.912 0.000 0.012 0.048
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 5 0.7343 0.337687 0.024 0.288 0.000 0.332 0.356
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.3433 0.655550 0.008 0.024 0.000 0.832 0.136
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.6265 0.571761 0.616 0.040 0.000 0.236 0.108
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.6356 0.563559 0.600 0.040 0.000 0.252 0.108
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.6337 0.508635 0.596 0.056 0.000 0.272 0.076
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.1831 0.717744 0.004 0.000 0.000 0.920 0.076
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 4 0.5222 0.612149 0.088 0.056 0.000 0.744 0.112
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.2189 0.680076 0.000 0.904 0.000 0.012 0.084
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 0.999242 0.000 0.000 1.000 0.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 4 0.4599 0.544404 0.004 0.088 0.000 0.752 0.156
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.6939 0.248356 0.420 0.040 0.000 0.416 0.124
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0404 0.691534 0.000 0.988 0.000 0.012 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.2976 0.692081 0.004 0.012 0.000 0.852 0.132
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 4 0.3872 0.678846 0.008 0.116 0.000 0.816 0.060
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.7136 0.445740 0.024 0.208 0.000 0.352 0.416
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.999242 0.000 0.000 1.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.7144 0.017155 0.400 0.348 0.236 0.004 0.012
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.5680 0.332819 0.008 0.616 0.000 0.284 0.092
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 5 0.4873 0.540481 0.000 0.044 0.000 0.312 0.644
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.1954 0.416737 0.932 0.000 0.032 0.028 0.008
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.4472 0.558255 0.004 0.076 0.000 0.760 0.160
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.3154 0.695249 0.004 0.012 0.000 0.836 0.148
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.3195 0.667848 0.004 0.856 0.000 0.040 0.100
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 4 0.3346 0.717955 0.064 0.000 0.000 0.844 0.092
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.999242 0.000 0.000 1.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 4 0.6300 -0.295947 0.004 0.416 0.000 0.448 0.132
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.1864 0.709512 0.004 0.004 0.000 0.924 0.068
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0404 0.691534 0.000 0.988 0.000 0.012 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.1059 0.692140 0.008 0.968 0.000 0.020 0.004
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 4 0.6253 0.411201 0.208 0.040 0.000 0.628 0.124
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.6237 0.560610 0.604 0.032 0.000 0.256 0.108
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.2583 0.687612 0.004 0.000 0.000 0.864 0.132
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.2238 0.706885 0.004 0.020 0.000 0.912 0.064
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.6002 0.187305 0.116 0.000 0.000 0.492 0.392
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.3564 0.633185 0.008 0.024 0.000 0.820 0.148
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.5949 0.428124 0.612 0.044 0.036 0.300 0.008
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.3485 0.653447 0.016 0.852 0.000 0.072 0.060
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 5 0.6064 0.422758 0.000 0.120 0.000 0.420 0.460
#> 67E92530-3B19-424C-B219-958A88909046 4 0.1701 0.735370 0.012 0.016 0.000 0.944 0.028
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.5237 0.527388 0.160 0.004 0.000 0.696 0.140
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.1041 0.724561 0.004 0.000 0.000 0.964 0.032
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.2957 0.707543 0.012 0.008 0.000 0.860 0.120
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0436 0.74040 0.004 0.988 0.000 0.000 0.004 0.004
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 6 0.2933 0.52795 0.000 0.000 0.000 0.200 0.004 0.796
#> B626F298-622E-4C4F-8217-71D1234A6670 6 0.3023 0.51729 0.000 0.000 0.000 0.212 0.004 0.784
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0260 0.74404 0.000 0.992 0.000 0.000 0.000 0.008
#> EB246839-8CB3-4B57-985E-DCEE23692361 5 0.4986 0.44438 0.000 0.076 0.000 0.016 0.648 0.260
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 6 0.2604 0.59780 0.000 0.100 0.000 0.020 0.008 0.872
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.5972 0.37489 0.000 0.316 0.000 0.028 0.524 0.132
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 6 0.3109 0.50249 0.000 0.000 0.000 0.224 0.004 0.772
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.4753 0.33303 0.000 0.000 0.000 0.496 0.456 0.048
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 6 0.3133 0.51689 0.000 0.000 0.000 0.212 0.008 0.780
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.3269 0.66480 0.024 0.000 0.000 0.792 0.000 0.184
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.99965 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.2024 0.68535 0.924 0.000 0.008 0.020 0.036 0.012
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.2024 0.68535 0.924 0.000 0.008 0.020 0.036 0.012
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.2536 0.71304 0.864 0.000 0.000 0.116 0.000 0.020
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.2841 0.68997 0.000 0.824 0.000 0.000 0.164 0.012
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.5229 0.29444 0.004 0.364 0.000 0.020 0.564 0.048
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 6 0.6032 0.14681 0.192 0.012 0.000 0.304 0.000 0.492
#> 851B9B77-547A-43CC-B939-428E0A26C67C 6 0.2261 0.59231 0.000 0.104 0.000 0.004 0.008 0.884
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.4312 0.46919 0.052 0.676 0.000 0.000 0.000 0.272
#> B56D29F2-ADF4-43B9-9013-071466244B4A 6 0.4114 0.25375 0.008 0.356 0.000 0.000 0.008 0.628
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.99965 0.000 0.000 1.000 0.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 6 0.4997 0.25740 0.072 0.020 0.000 0.256 0.000 0.652
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 6 0.2702 0.59849 0.000 0.092 0.000 0.036 0.004 0.868
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0862 0.73793 0.016 0.972 0.000 0.000 0.008 0.004
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#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.1461 0.73366 0.940 0.000 0.000 0.044 0.000 0.016
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.3693 0.63946 0.000 0.000 0.000 0.788 0.120 0.092
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 6 0.3163 0.51919 0.000 0.004 0.000 0.212 0.004 0.780
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.5576 0.24262 0.368 0.000 0.000 0.520 0.096 0.016
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 6 0.3052 0.51266 0.000 0.000 0.000 0.216 0.004 0.780
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.7095 0.51614 0.516 0.024 0.008 0.212 0.056 0.184
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.3825 0.63466 0.008 0.764 0.000 0.016 0.200 0.012
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 5 0.6689 0.32420 0.000 0.248 0.000 0.036 0.388 0.328
#> 67E92530-3B19-424C-B219-958A88909046 4 0.5333 0.58630 0.180 0.000 0.000 0.612 0.004 0.204
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.5472 0.12627 0.408 0.000 0.000 0.480 0.004 0.108
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.3872 0.41851 0.000 0.000 0.000 0.604 0.004 0.392
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 6 0.6058 -0.14359 0.272 0.000 0.000 0.324 0.000 0.404
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["SD", "NMF"]
# you can also extract it by
# res = res_list["SD:NMF"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17604 rows and 183 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 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 0.799 0.899 0.956 0.4937 0.502 0.502
#> 3 3 0.818 0.875 0.944 0.2247 0.837 0.694
#> 4 4 0.586 0.675 0.747 0.1611 0.761 0.488
#> 5 5 0.682 0.739 0.833 0.0858 0.887 0.650
#> 6 6 0.747 0.604 0.789 0.0597 0.891 0.609
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.9343 0.000 1.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.9922 0.2776 0.448 0.552
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.8267 0.6164 0.740 0.260
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.9343 0.000 1.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.7299 0.7737 0.204 0.796
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.5408 0.8543 0.124 0.876
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.4939 0.8677 0.108 0.892
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.0000 0.9666 1.000 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.9666 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.9460 0.3734 0.636 0.364
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.9666 1.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.0000 0.9343 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.9666 1.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.9666 1.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.9666 1.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0000 0.9343 0.000 1.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.1414 0.9244 0.020 0.980
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 0.9666 1.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.2423 0.9134 0.040 0.960
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0000 0.9343 0.000 1.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0000 0.9343 0.000 1.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.0000 0.9343 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.9666 1.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.9833 0.2625 0.424 0.576
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.9343 0.000 1.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.9666 1.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0000 0.9343 0.000 1.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.0000 0.9666 1.000 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.3114 0.8969 0.056 0.944
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.9666 1.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.0000 0.9343 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 0.9666 1.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0000 0.9666 1.000 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 0.9666 1.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.0000 0.9666 1.000 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.7815 0.7368 0.232 0.768
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.9666 1.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0000 0.9666 1.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.0000 0.9666 1.000 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.0000 0.9666 1.000 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.0000 0.9343 0.000 1.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.4562 0.8767 0.096 0.904
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.9666 1.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0000 0.9666 1.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.7219 0.7784 0.200 0.800
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.9343 0.000 1.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.4298 0.8798 0.912 0.088
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0000 0.9343 0.000 1.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.0376 0.9631 0.996 0.004
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.9666 1.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.7219 0.7784 0.200 0.800
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.9833 0.1804 0.576 0.424
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.9666 1.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.0000 0.9343 0.000 1.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.9343 0.000 1.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.7139 0.7419 0.804 0.196
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0000 0.9343 0.000 1.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.9666 1.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.9343 0.000 1.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.9343 0.000 1.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0000 0.9343 0.000 1.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0000 0.9666 1.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0000 0.9343 0.000 1.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0000 0.9666 1.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.9666 1.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.9666 1.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.8813 0.6291 0.300 0.700
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.0000 0.9666 1.000 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0000 0.9343 0.000 1.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.9343 0.000 1.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.9666 1.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.0000 0.9343 0.000 1.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.9666 1.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.0000 0.9343 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.9666 1.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.9666 1.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0000 0.9343 0.000 1.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0000 0.9666 1.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.9666 1.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.0000 0.9666 1.000 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.9666 1.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.9666 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.0000 0.9343 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.0000 0.9666 1.000 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0000 0.9343 0.000 1.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.9666 1.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.0000 0.9343 0.000 1.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0000 0.9343 0.000 1.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0000 0.9666 1.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.0000 0.9343 0.000 1.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0376 0.9324 0.004 0.996
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.9343 0.000 1.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.9666 1.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.5629 0.8475 0.132 0.868
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.3879 0.8907 0.076 0.924
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.9552 0.4722 0.376 0.624
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0000 0.9666 1.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.9343 0.000 1.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.9666 1.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.9666 1.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 2 0.0000 0.9343 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.9666 1.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.9666 1.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0000 0.9343 0.000 1.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0000 0.9343 0.000 1.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.5842 0.8114 0.860 0.140
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.9343 0.000 1.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0000 0.9666 1.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.9343 0.000 1.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.9666 1.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.9666 1.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.9666 1.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.7056 0.7879 0.192 0.808
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0000 0.9343 0.000 1.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0000 0.9666 1.000 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.9666 1.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0000 0.9343 0.000 1.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.9666 1.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0000 0.9666 1.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.9666 1.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.9343 0.000 1.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.9666 1.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.9996 0.0502 0.512 0.488
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.9170 0.4616 0.668 0.332
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.0000 0.9666 1.000 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.5629 0.8483 0.132 0.868
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0000 0.9666 1.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.0000 0.9343 0.000 1.000
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.9666 1.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.0000 0.9343 0.000 1.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.9666 1.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0000 0.9343 0.000 1.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.2043 0.9179 0.032 0.968
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.0000 0.9666 1.000 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.9666 1.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0000 0.9666 1.000 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.0938 0.9558 0.988 0.012
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.4431 0.8722 0.908 0.092
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.9666 1.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0000 0.9343 0.000 1.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.9343 0.000 1.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.5059 0.8646 0.112 0.888
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.9087 0.4777 0.676 0.324
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.9666 1.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.9666 1.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.4022 0.8885 0.920 0.080
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.9666 1.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 0.9666 1.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0000 0.9343 0.000 1.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.0000 0.9343 0.000 1.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.7453 0.7636 0.212 0.788
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.9666 1.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0000 0.9343 0.000 1.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.9666 1.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.0000 0.9666 1.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.7219 0.7784 0.200 0.800
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.0000 0.9343 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.0000 0.9343 0.000 1.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.6887 0.7961 0.184 0.816
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.9988 0.1715 0.480 0.520
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.9666 1.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.7376 0.7688 0.208 0.792
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.9666 1.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0000 0.9343 0.000 1.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.9666 1.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.0000 0.9343 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.0000 0.9343 0.000 1.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.0000 0.9666 1.000 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.9343 0.000 1.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0000 0.9343 0.000 1.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.9666 1.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.9666 1.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.9666 1.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.0000 0.9666 1.000 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0000 0.9666 1.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.0000 0.9666 1.000 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.7219 0.7361 0.800 0.200
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.9343 0.000 1.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.8955 0.6071 0.312 0.688
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.9666 1.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.9666 1.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.9666 1.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0000 0.9666 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.9063 0.000 1.000 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.1031 0.8943 0.024 0.976 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.4291 0.7355 0.180 0.820 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.9063 0.000 1.000 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.0000 0.9063 0.000 1.000 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.2339 0.8764 0.048 0.940 0.012
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.9063 0.000 1.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.1643 0.9173 0.956 0.044 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0237 0.9565 0.996 0.004 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.4121 0.7509 0.168 0.832 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.9595 1.000 0.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.9264 0.000 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.9595 1.000 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.9595 1.000 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.9595 1.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.5560 0.6516 0.000 0.700 0.300
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.0000 0.9063 0.000 1.000 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 0.9595 1.000 0.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.4479 0.8426 0.044 0.860 0.096
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 3 0.0000 0.9264 0.000 0.000 1.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 3 0.0237 0.9246 0.000 0.004 0.996
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.9264 0.000 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.9595 1.000 0.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.6792 0.7054 0.132 0.744 0.124
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0237 0.9045 0.000 0.996 0.004
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.9595 1.000 0.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0000 0.9063 0.000 1.000 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 2 0.0000 0.9063 0.000 1.000 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 0.9264 0.000 0.000 1.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.9595 1.000 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.9264 0.000 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 0.9595 1.000 0.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.6026 0.4446 0.624 0.376 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 0.9595 1.000 0.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.3038 0.8463 0.896 0.104 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.0000 0.9063 0.000 1.000 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.9595 1.000 0.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0000 0.9595 1.000 0.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.1643 0.9172 0.956 0.044 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 2 0.0000 0.9063 0.000 1.000 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.0424 0.9224 0.000 0.008 0.992
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.1950 0.8829 0.040 0.952 0.008
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.9595 1.000 0.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0000 0.9595 1.000 0.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.0237 0.9050 0.004 0.996 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.9063 0.000 1.000 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.6180 0.2867 0.584 0.000 0.416
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0000 0.9063 0.000 1.000 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 2 0.0592 0.9013 0.012 0.988 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.9595 1.000 0.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.0000 0.9063 0.000 1.000 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 2 0.0747 0.8960 0.016 0.984 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.9595 1.000 0.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.2959 0.8388 0.000 0.100 0.900
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.9063 0.000 1.000 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.5098 0.6458 0.752 0.000 0.248
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.5098 0.7282 0.000 0.752 0.248
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.9595 1.000 0.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0892 0.9000 0.000 0.980 0.020
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.4750 0.7667 0.000 0.784 0.216
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0000 0.9063 0.000 1.000 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0237 0.9564 0.996 0.004 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.4931 0.7486 0.000 0.768 0.232
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0000 0.9595 1.000 0.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.9595 1.000 0.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.9595 1.000 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.0000 0.9063 0.000 1.000 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.2165 0.8955 0.936 0.064 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0000 0.9063 0.000 1.000 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.9063 0.000 1.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.9595 1.000 0.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.4555 0.7834 0.000 0.800 0.200
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.9595 1.000 0.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.9264 0.000 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.9595 1.000 0.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.9595 1.000 0.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.3267 0.8526 0.000 0.884 0.116
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0237 0.9564 0.996 0.004 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.9595 1.000 0.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.0000 0.9595 1.000 0.000 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.9595 1.000 0.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.9595 1.000 0.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.9264 0.000 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.0000 0.9595 1.000 0.000 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.4452 0.7914 0.000 0.808 0.192
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.9595 1.000 0.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.5921 0.7472 0.032 0.756 0.212
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0000 0.9063 0.000 1.000 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0237 0.9564 0.996 0.004 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.5678 0.6222 0.000 0.684 0.316
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0000 0.9063 0.000 1.000 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.9063 0.000 1.000 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.9595 1.000 0.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0000 0.9063 0.000 1.000 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0000 0.9063 0.000 1.000 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.0237 0.9050 0.004 0.996 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.5016 0.6781 0.760 0.240 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 3 0.4887 0.7021 0.000 0.228 0.772
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.9595 1.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.9595 1.000 0.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.9264 0.000 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.9595 1.000 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.9595 1.000 0.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.3619 0.8388 0.000 0.864 0.136
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0000 0.9063 0.000 1.000 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.0237 0.9050 0.004 0.996 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.9063 0.000 1.000 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0000 0.9595 1.000 0.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.3192 0.8552 0.000 0.888 0.112
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.9595 1.000 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.9595 1.000 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.9595 1.000 0.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.6600 0.4037 0.384 0.604 0.012
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 3 0.6140 0.2185 0.000 0.404 0.596
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0000 0.9595 1.000 0.000 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.9595 1.000 0.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 3 0.1163 0.9083 0.000 0.028 0.972
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.9595 1.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0000 0.9595 1.000 0.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.9595 1.000 0.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.3192 0.8547 0.000 0.888 0.112
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.9595 1.000 0.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.0000 0.9264 0.000 0.000 1.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.5810 0.4692 0.664 0.336 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.0000 0.9595 1.000 0.000 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 3 0.3412 0.8024 0.124 0.000 0.876
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0000 0.9595 1.000 0.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 3 0.6079 0.2735 0.000 0.388 0.612
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.9595 1.000 0.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.0000 0.9063 0.000 1.000 0.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.9595 1.000 0.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.5948 0.5346 0.000 0.640 0.360
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.4892 0.8012 0.112 0.840 0.048
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.0424 0.9529 0.992 0.008 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.9595 1.000 0.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.4555 0.7333 0.800 0.200 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.0000 0.9595 1.000 0.000 0.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.0892 0.9426 0.980 0.020 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.9595 1.000 0.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0000 0.9063 0.000 1.000 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0592 0.9007 0.000 0.988 0.012
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.0000 0.9063 0.000 1.000 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.5178 0.6243 0.256 0.744 0.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.9595 1.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.9595 1.000 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 3 0.1753 0.8874 0.048 0.000 0.952
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.9595 1.000 0.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 0.9595 1.000 0.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.4178 0.8098 0.000 0.828 0.172
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 0.9264 0.000 0.000 1.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.0000 0.9063 0.000 1.000 0.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.9595 1.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.4452 0.7914 0.000 0.808 0.192
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.9595 1.000 0.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.0000 0.9595 1.000 0.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.0000 0.9063 0.000 1.000 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.9264 0.000 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.0000 0.9264 0.000 0.000 1.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0000 0.9063 0.000 1.000 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.0000 0.9063 0.000 1.000 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.9595 1.000 0.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.0237 0.9050 0.004 0.996 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.9595 1.000 0.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.5178 0.7176 0.000 0.744 0.256
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.9595 1.000 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.9264 0.000 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.3551 0.8417 0.000 0.868 0.132
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.0237 0.9564 0.996 0.004 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.4002 0.8200 0.000 0.840 0.160
#> CC008807-7264-4593-966F-104992B35873 2 0.4974 0.7436 0.000 0.764 0.236
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.9595 1.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.9595 1.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.9595 1.000 0.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.2261 0.8935 0.932 0.068 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0000 0.9595 1.000 0.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.6308 -0.0558 0.508 0.492 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.6299 0.0990 0.524 0.000 0.476
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.9063 0.000 1.000 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.0000 0.9063 0.000 1.000 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.9595 1.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.9595 1.000 0.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.9595 1.000 0.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0000 0.9595 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.1610 0.72828 0.016 0.952 0.032 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.3088 0.69854 0.008 0.864 0.000 0.128
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.5172 0.33199 0.008 0.588 0.000 0.404
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.2218 0.72917 0.036 0.932 0.028 0.004
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.5244 0.15945 0.008 0.556 0.000 0.436
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.5856 0.64712 0.272 0.672 0.044 0.012
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.1557 0.72418 0.000 0.944 0.000 0.056
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.3550 0.68959 0.044 0.096 0.000 0.860
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.0188 0.75039 0.000 0.004 0.000 0.996
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.3942 0.58819 0.000 0.236 0.000 0.764
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.2921 0.63731 0.140 0.000 0.000 0.860
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0188 0.81763 0.000 0.004 0.996 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.4883 0.65975 0.288 0.696 0.016 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.3444 0.64387 0.000 0.816 0.000 0.184
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.4382 0.91814 0.704 0.000 0.000 0.296
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.5666 0.65951 0.268 0.684 0.036 0.012
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.6316 0.60278 0.300 0.612 0.088 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.7630 0.32788 0.312 0.460 0.228 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0188 0.81763 0.000 0.004 0.996 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.4964 0.82990 0.616 0.000 0.004 0.380
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.6816 0.36238 0.212 0.184 0.000 0.604
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.3760 0.69607 0.028 0.836 0.136 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.1557 0.73167 0.056 0.000 0.000 0.944
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.3444 0.64387 0.000 0.816 0.000 0.184
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.4406 0.50102 0.000 0.300 0.000 0.700
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.5955 0.64544 0.328 0.056 0.616 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.4543 0.90883 0.676 0.000 0.000 0.324
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0188 0.81763 0.000 0.004 0.996 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.4977 -0.47609 0.460 0.000 0.000 0.540
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.3668 0.64419 0.004 0.188 0.000 0.808
#> AA838488-4A13-4998-B261-91590113F37D 1 0.3907 0.84547 0.768 0.000 0.000 0.232
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.5462 0.58479 0.736 0.112 0.000 0.152
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.2704 0.69158 0.000 0.876 0.000 0.124
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 4 0.4164 0.32928 0.264 0.000 0.000 0.736
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.0895 0.74780 0.020 0.004 0.000 0.976
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.6049 0.76718 0.652 0.084 0.000 0.264
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.4406 0.50102 0.000 0.300 0.000 0.700
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.7870 0.13288 0.300 0.308 0.392 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.5778 0.63588 0.300 0.656 0.012 0.032
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.1452 0.73114 0.008 0.956 0.000 0.036
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.2521 0.71497 0.000 0.912 0.024 0.064
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 3 0.7319 0.58999 0.364 0.028 0.524 0.084
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.1837 0.72423 0.000 0.944 0.028 0.028
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.4406 0.50102 0.000 0.300 0.000 0.700
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.1398 0.72763 0.000 0.956 0.004 0.040
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.4431 0.49914 0.000 0.304 0.000 0.696
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.1022 0.74472 0.032 0.000 0.000 0.968
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.6933 0.51262 0.300 0.560 0.140 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.1256 0.72780 0.008 0.964 0.028 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 4 0.7691 0.24767 0.364 0.032 0.108 0.496
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.6141 0.59461 0.300 0.624 0.076 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 4 0.2921 0.63527 0.140 0.000 0.000 0.860
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.4773 0.66572 0.280 0.708 0.008 0.004
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.4584 0.65088 0.300 0.696 0.000 0.004
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 4 0.5099 0.37211 0.000 0.380 0.008 0.612
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.0707 0.74782 0.000 0.020 0.000 0.980
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.6141 0.59461 0.300 0.624 0.076 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.3801 0.49435 0.220 0.000 0.000 0.780
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.4431 0.92633 0.696 0.000 0.000 0.304
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.5220 0.26180 0.008 0.424 0.000 0.568
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.7575 -0.05897 0.252 0.264 0.000 0.484
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.2060 0.72149 0.000 0.932 0.016 0.052
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.1837 0.72896 0.028 0.944 0.028 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.2222 0.72319 0.060 0.016 0.000 0.924
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.5791 0.66027 0.192 0.716 0.084 0.008
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.4948 0.70810 0.560 0.000 0.000 0.440
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0188 0.81763 0.000 0.004 0.996 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.1211 0.74153 0.040 0.000 0.000 0.960
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.4477 0.92097 0.688 0.000 0.000 0.312
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.1837 0.73051 0.028 0.944 0.028 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.0188 0.75039 0.000 0.004 0.000 0.996
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.4585 0.89944 0.668 0.000 0.000 0.332
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.4955 -0.06792 0.344 0.008 0.000 0.648
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.4543 0.90883 0.676 0.000 0.000 0.324
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.2345 0.69215 0.100 0.000 0.000 0.900
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0188 0.81763 0.000 0.004 0.996 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.3464 0.63105 0.860 0.032 0.000 0.108
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.4584 0.65088 0.300 0.696 0.000 0.004
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.2334 0.70917 0.088 0.004 0.000 0.908
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.6343 0.57342 0.332 0.596 0.068 0.004
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.2222 0.71914 0.000 0.924 0.016 0.060
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.0895 0.74848 0.004 0.020 0.000 0.976
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.5592 0.62393 0.300 0.656 0.044 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.2760 0.69017 0.000 0.872 0.000 0.128
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.1624 0.72507 0.000 0.952 0.028 0.020
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.1474 0.73444 0.052 0.000 0.000 0.948
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.2216 0.71045 0.000 0.908 0.000 0.092
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.1867 0.71861 0.000 0.928 0.000 0.072
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.3142 0.69722 0.008 0.860 0.000 0.132
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.2011 0.72339 0.000 0.080 0.000 0.920
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.4989 0.26681 0.000 0.528 0.472 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.1118 0.74288 0.036 0.000 0.000 0.964
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0188 0.81763 0.000 0.004 0.996 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.1847 0.72768 0.004 0.940 0.052 0.004
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.1936 0.72343 0.000 0.940 0.028 0.032
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.5292 0.01063 0.008 0.512 0.000 0.480
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.1509 0.72968 0.008 0.960 0.020 0.012
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.0376 0.75043 0.004 0.004 0.000 0.992
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.4343 0.67091 0.264 0.732 0.004 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.4431 0.92642 0.696 0.000 0.000 0.304
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.1474 0.73471 0.052 0.000 0.000 0.948
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.6751 0.48274 0.272 0.592 0.000 0.136
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.5883 0.60973 0.300 0.640 0.060 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.4431 0.92542 0.696 0.000 0.000 0.304
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.0817 0.74708 0.024 0.000 0.000 0.976
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.6371 0.57840 0.300 0.608 0.092 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.4250 0.33082 0.276 0.000 0.000 0.724
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.4477 0.92008 0.688 0.000 0.000 0.312
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.4621 0.65859 0.284 0.708 0.008 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.4643 0.88476 0.656 0.000 0.000 0.344
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.0564 0.81410 0.004 0.004 0.988 0.004
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.1722 0.74058 0.008 0.048 0.000 0.944
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.4454 0.92342 0.692 0.000 0.000 0.308
#> 57787823-A815-4783-930C-A5752E48FFBA 3 0.3854 0.69728 0.012 0.008 0.828 0.152
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.6375 0.58942 0.300 0.616 0.080 0.004
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.0817 0.74752 0.024 0.000 0.000 0.976
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.3837 0.59809 0.000 0.776 0.000 0.224
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.9763 0.03752 0.300 0.324 0.204 0.172
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.3907 0.68511 0.232 0.768 0.000 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.0524 0.75073 0.004 0.008 0.000 0.988
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.2281 0.69434 0.096 0.000 0.000 0.904
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.2466 0.71336 0.004 0.096 0.000 0.900
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.3796 0.57135 0.848 0.056 0.000 0.096
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.0921 0.74578 0.000 0.028 0.000 0.972
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.1389 0.73654 0.048 0.000 0.000 0.952
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.1706 0.72562 0.000 0.948 0.016 0.036
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.4500 0.54892 0.000 0.684 0.316 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.3219 0.66209 0.000 0.836 0.000 0.164
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.6334 0.00332 0.060 0.456 0.000 0.484
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.3570 0.42436 0.860 0.000 0.092 0.048
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.2011 0.71223 0.080 0.000 0.000 0.920
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.5161 0.90992 0.676 0.000 0.024 0.300
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.3975 0.67982 0.240 0.760 0.000 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.5546 0.66215 0.292 0.044 0.664 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.2408 0.70330 0.000 0.896 0.000 0.104
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.4762 0.64932 0.300 0.692 0.004 0.004
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.1209 0.74656 0.032 0.004 0.000 0.964
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.3444 0.64392 0.000 0.816 0.000 0.184
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0188 0.81763 0.000 0.004 0.996 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.6770 0.56821 0.292 0.128 0.580 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.2261 0.73023 0.036 0.932 0.024 0.008
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.5244 0.22840 0.008 0.436 0.000 0.556
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.3219 0.66534 0.000 0.836 0.000 0.164
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.2704 0.65873 0.124 0.000 0.000 0.876
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.6708 0.54840 0.272 0.596 0.132 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.4454 0.92324 0.692 0.000 0.000 0.308
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0188 0.81763 0.000 0.004 0.996 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 4 0.6193 0.49306 0.088 0.232 0.008 0.672
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.6011 0.56721 0.484 0.040 0.000 0.476
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.4252 0.67818 0.252 0.744 0.000 0.004
#> CC008807-7264-4593-966F-104992B35873 2 0.4762 0.64932 0.300 0.692 0.004 0.004
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.0188 0.74989 0.004 0.000 0.000 0.996
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.1820 0.74410 0.020 0.036 0.000 0.944
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.0921 0.74608 0.028 0.000 0.000 0.972
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 2 0.6934 0.38550 0.164 0.580 0.000 0.256
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.7473 0.61028 0.308 0.028 0.552 0.112
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.1545 0.72578 0.000 0.952 0.040 0.008
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.2799 0.70798 0.008 0.884 0.000 0.108
#> 67E92530-3B19-424C-B219-958A88909046 1 0.4406 0.92861 0.700 0.000 0.000 0.300
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.4587 0.64092 0.192 0.028 0.004 0.776
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.2589 0.67921 0.116 0.000 0.000 0.884
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.3200 0.70289 0.092 0.024 0.004 0.880
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 5 0.1952 0.7940 0.000 0.084 0.004 0.000 0.912
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 5 0.5435 0.3469 0.000 0.060 0.000 0.428 0.512
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.4928 0.1742 0.008 0.020 0.000 0.596 0.376
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.2074 0.7883 0.000 0.104 0.000 0.000 0.896
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.4297 0.4402 0.000 0.020 0.000 0.692 0.288
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.4434 0.1793 0.000 0.536 0.000 0.004 0.460
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.0000 0.8120 0.000 0.000 0.000 0.000 1.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.2882 0.7481 0.028 0.024 0.000 0.888 0.060
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.0000 0.8095 0.000 0.000 0.000 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.1628 0.8166 0.000 0.056 0.000 0.936 0.008
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.3649 0.7790 0.152 0.040 0.000 0.808 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.8820 0.000 0.000 1.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.8874 1.000 0.000 0.000 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.8874 1.000 0.000 0.000 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.8874 1.000 0.000 0.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 5 0.0703 0.8117 0.000 0.024 0.000 0.000 0.976
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.1768 0.7821 0.000 0.072 0.000 0.004 0.924
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0771 0.8767 0.976 0.004 0.000 0.020 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 5 0.5913 0.5020 0.008 0.296 0.000 0.108 0.588
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.4327 0.5316 0.000 0.632 0.008 0.000 0.360
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.6218 0.6765 0.132 0.636 0.040 0.000 0.192
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.8820 0.000 0.000 1.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.5236 0.6328 0.684 0.152 0.000 0.164 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.4469 0.6791 0.000 0.148 0.000 0.756 0.096
#> 482285EC-BA43-441D-9986-7937B61A81D1 5 0.2331 0.7932 0.000 0.080 0.020 0.000 0.900
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.1764 0.8160 0.064 0.008 0.000 0.928 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.1484 0.7952 0.000 0.048 0.000 0.008 0.944
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.0451 0.8057 0.000 0.008 0.000 0.988 0.004
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.4244 0.6576 0.108 0.796 0.084 0.000 0.012
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.1981 0.8551 0.924 0.028 0.000 0.048 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.8820 0.000 0.000 1.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.5273 0.6346 0.680 0.156 0.000 0.164 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.3774 0.7850 0.008 0.160 0.000 0.804 0.028
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0510 0.8865 0.984 0.016 0.000 0.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.2677 0.7782 0.872 0.112 0.000 0.000 0.016
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 5 0.2339 0.7655 0.000 0.004 0.004 0.100 0.892
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.5880 0.4873 0.600 0.172 0.000 0.228 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.4130 0.5375 0.292 0.012 0.000 0.696 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.4558 0.6474 0.724 0.060 0.000 0.216 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.0579 0.8041 0.000 0.008 0.000 0.984 0.008
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.3657 0.7848 0.000 0.820 0.064 0.000 0.116
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 5 0.4306 -0.0456 0.000 0.492 0.000 0.000 0.508
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0162 0.8873 0.996 0.004 0.000 0.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.1117 0.8799 0.964 0.020 0.000 0.016 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 5 0.4409 0.6941 0.000 0.072 0.000 0.176 0.752
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 5 0.0566 0.8116 0.000 0.012 0.004 0.000 0.984
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 2 0.3453 0.5675 0.136 0.832 0.020 0.012 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 5 0.0510 0.8108 0.000 0.016 0.000 0.000 0.984
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.0290 0.8096 0.000 0.008 0.000 0.992 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0510 0.8858 0.984 0.016 0.000 0.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 5 0.0162 0.8130 0.000 0.004 0.000 0.000 0.996
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.4472 0.7569 0.004 0.160 0.000 0.760 0.076
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.2592 0.8206 0.052 0.056 0.000 0.892 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.3282 0.8046 0.000 0.804 0.008 0.000 0.188
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 5 0.0404 0.8122 0.000 0.012 0.000 0.000 0.988
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 2 0.3035 0.5623 0.112 0.856 0.000 0.032 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.3143 0.8000 0.000 0.796 0.000 0.000 0.204
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 4 0.6248 0.4507 0.308 0.172 0.000 0.520 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 5 0.2179 0.7824 0.000 0.112 0.000 0.000 0.888
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 5 0.2329 0.7733 0.000 0.124 0.000 0.000 0.876
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 3 0.4423 0.5709 0.000 0.008 0.684 0.296 0.012
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.0794 0.8169 0.000 0.028 0.000 0.972 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.3461 0.7813 0.000 0.772 0.004 0.000 0.224
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0613 0.8863 0.984 0.004 0.000 0.008 0.004
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.2753 0.7844 0.136 0.008 0.000 0.856 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0510 0.8858 0.984 0.016 0.000 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.3319 0.6500 0.000 0.020 0.000 0.820 0.160
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.4609 0.5401 0.688 0.024 0.000 0.008 0.280
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 5 0.0162 0.8122 0.000 0.000 0.004 0.000 0.996
#> 15532795-F8EC-4460-9972-82EC355E3B06 5 0.1608 0.7986 0.000 0.072 0.000 0.000 0.928
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.4083 0.7831 0.080 0.132 0.000 0.788 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.3492 0.8037 0.000 0.796 0.016 0.000 0.188
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.5550 0.2024 0.548 0.076 0.000 0.376 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.8820 0.000 0.000 1.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.3918 0.7923 0.100 0.096 0.000 0.804 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.2172 0.8425 0.908 0.016 0.000 0.076 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 5 0.0880 0.8100 0.000 0.032 0.000 0.000 0.968
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.0404 0.8056 0.000 0.012 0.000 0.988 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0579 0.8863 0.984 0.008 0.000 0.008 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.5756 0.6782 0.696 0.140 0.000 0.112 0.052
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.3237 0.8049 0.848 0.104 0.000 0.048 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.2361 0.8135 0.096 0.012 0.000 0.892 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.8820 0.000 0.000 1.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.1908 0.8152 0.908 0.092 0.000 0.000 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 5 0.2891 0.7369 0.000 0.176 0.000 0.000 0.824
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.1845 0.8210 0.056 0.016 0.000 0.928 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 5 0.6954 0.1593 0.032 0.396 0.000 0.144 0.428
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 5 0.0510 0.8108 0.000 0.016 0.000 0.000 0.984
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.2466 0.8204 0.012 0.076 0.000 0.900 0.012
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 5 0.4225 0.4172 0.000 0.364 0.004 0.000 0.632
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 5 0.0609 0.8101 0.000 0.020 0.000 0.000 0.980
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 5 0.0000 0.8120 0.000 0.000 0.000 0.000 1.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.4617 0.7541 0.108 0.148 0.000 0.744 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 5 0.0703 0.8090 0.000 0.024 0.000 0.000 0.976
#> F7B2E263-F0AE-440E-96C5-139233079A06 5 0.0404 0.8114 0.000 0.012 0.000 0.000 0.988
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 5 0.5302 0.4028 0.000 0.052 0.000 0.412 0.536
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.0880 0.8174 0.000 0.032 0.000 0.968 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 3 0.3586 0.5642 0.000 0.000 0.736 0.000 0.264
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.8874 1.000 0.000 0.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.2079 0.8224 0.020 0.064 0.000 0.916 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.8820 0.000 0.000 1.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.8874 1.000 0.000 0.000 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.8874 1.000 0.000 0.000 0.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 5 0.1894 0.7984 0.000 0.072 0.008 0.000 0.920
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.0510 0.8108 0.000 0.016 0.000 0.000 0.984
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.4576 0.2467 0.000 0.016 0.000 0.608 0.376
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 5 0.2482 0.7956 0.000 0.084 0.000 0.024 0.892
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.0290 0.8066 0.000 0.008 0.000 0.992 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 5 0.3395 0.6593 0.000 0.236 0.000 0.000 0.764
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0290 0.8870 0.992 0.008 0.000 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0404 0.8866 0.988 0.012 0.000 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.4647 0.7521 0.092 0.172 0.000 0.736 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 5 0.5312 0.4687 0.248 0.100 0.000 0.000 0.652
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.3074 0.8033 0.000 0.804 0.000 0.000 0.196
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.3388 0.7156 0.792 0.008 0.000 0.200 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.3975 0.7842 0.064 0.144 0.000 0.792 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.3266 0.8012 0.000 0.796 0.004 0.000 0.200
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0404 0.8866 0.988 0.012 0.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.4874 0.5124 0.368 0.032 0.000 0.600 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.3859 0.7827 0.820 0.100 0.000 0.072 0.008
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 5 0.3983 0.4753 0.000 0.340 0.000 0.000 0.660
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.4665 0.5827 0.692 0.048 0.000 0.260 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.4059 0.7304 0.008 0.116 0.804 0.072 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.5179 0.7467 0.032 0.164 0.000 0.728 0.076
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.1628 0.8586 0.936 0.008 0.000 0.056 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 3 0.2852 0.7188 0.000 0.000 0.828 0.172 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0510 0.8815 0.984 0.016 0.000 0.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.3588 0.8007 0.004 0.824 0.020 0.008 0.144
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.3476 0.8060 0.088 0.076 0.000 0.836 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 5 0.2046 0.7778 0.000 0.068 0.000 0.016 0.916
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.8874 1.000 0.000 0.000 0.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.3779 0.7872 0.000 0.824 0.048 0.012 0.116
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 5 0.1173 0.8082 0.004 0.020 0.000 0.012 0.964
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.0579 0.8041 0.000 0.008 0.000 0.984 0.008
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.4457 0.7631 0.116 0.124 0.000 0.760 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.1197 0.8191 0.000 0.048 0.000 0.952 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.2249 0.8032 0.896 0.096 0.000 0.000 0.008
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.1608 0.8178 0.000 0.072 0.000 0.928 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.1251 0.8207 0.008 0.036 0.000 0.956 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 5 0.0404 0.8114 0.000 0.012 0.000 0.000 0.988
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 5 0.3074 0.6655 0.000 0.000 0.196 0.000 0.804
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 5 0.1597 0.7939 0.000 0.048 0.000 0.012 0.940
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 5 0.6928 0.3142 0.220 0.016 0.000 0.296 0.468
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.8874 1.000 0.000 0.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.8874 1.000 0.000 0.000 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.1251 0.8742 0.956 0.036 0.008 0.000 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.5116 0.7022 0.188 0.120 0.000 0.692 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0451 0.8856 0.988 0.008 0.000 0.004 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 5 0.1792 0.7758 0.000 0.084 0.000 0.000 0.916
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.3430 0.6006 0.000 0.776 0.220 0.000 0.004
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 5 0.0912 0.8121 0.000 0.012 0.000 0.016 0.972
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0162 0.8861 0.996 0.004 0.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 5 0.4108 0.5481 0.000 0.308 0.000 0.008 0.684
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.2270 0.8208 0.020 0.076 0.000 0.904 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.0000 0.8874 1.000 0.000 0.000 0.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.2144 0.7797 0.000 0.020 0.000 0.068 0.912
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.8820 0.000 0.000 1.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.3898 0.7763 0.004 0.812 0.076 0.000 0.108
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 5 0.4016 0.7483 0.000 0.092 0.000 0.112 0.796
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.3419 0.6290 0.000 0.016 0.000 0.804 0.180
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.8874 1.000 0.000 0.000 0.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 5 0.2448 0.7705 0.000 0.020 0.000 0.088 0.892
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.4158 0.7745 0.124 0.092 0.000 0.784 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.3242 0.7967 0.000 0.784 0.000 0.000 0.216
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0451 0.8867 0.988 0.004 0.000 0.008 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.8820 0.000 0.000 1.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 4 0.3305 0.7393 0.000 0.224 0.000 0.776 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.2824 0.8235 0.880 0.008 0.000 0.088 0.024
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 5 0.3003 0.7216 0.000 0.188 0.000 0.000 0.812
#> CC008807-7264-4593-966F-104992B35873 5 0.3796 0.5668 0.000 0.300 0.000 0.000 0.700
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.8874 1.000 0.000 0.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0404 0.8866 0.988 0.012 0.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.1106 0.8195 0.012 0.024 0.000 0.964 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.0693 0.8065 0.000 0.008 0.000 0.980 0.012
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.2305 0.8174 0.012 0.092 0.000 0.896 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.7560 -0.1277 0.364 0.044 0.000 0.244 0.348
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 2 0.3734 0.5419 0.128 0.824 0.020 0.028 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 5 0.1845 0.8056 0.000 0.016 0.056 0.000 0.928
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 5 0.4229 0.6010 0.000 0.020 0.000 0.276 0.704
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0162 0.8873 0.996 0.004 0.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.5295 0.6931 0.112 0.224 0.000 0.664 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.3098 0.7141 0.148 0.016 0.000 0.836 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.4772 0.7449 0.108 0.164 0.000 0.728 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 5 0.2482 0.7565 0.000 0.004 0.000 0.000 0.848 0.148
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.4694 0.4865 0.004 0.008 0.000 0.560 0.024 0.404
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.4694 0.4881 0.024 0.008 0.000 0.560 0.004 0.404
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.3121 0.7263 0.000 0.008 0.000 0.004 0.796 0.192
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.3907 0.5002 0.000 0.004 0.000 0.588 0.000 0.408
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.3618 0.7040 0.000 0.776 0.000 0.000 0.176 0.048
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.0000 0.8051 0.000 0.000 0.000 0.000 1.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.3881 0.5047 0.000 0.004 0.000 0.600 0.000 0.396
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.0632 0.5312 0.000 0.000 0.000 0.976 0.000 0.024
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.3782 0.5120 0.000 0.004 0.000 0.636 0.000 0.360
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.2597 0.3785 0.000 0.000 0.000 0.824 0.000 0.176
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.9722 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0632 0.9052 0.976 0.000 0.000 0.000 0.000 0.024
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0632 0.9052 0.976 0.000 0.000 0.000 0.000 0.024
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.9121 1.000 0.000 0.000 0.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 5 0.0000 0.8051 0.000 0.000 0.000 0.000 1.000 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.0458 0.7998 0.000 0.000 0.000 0.000 0.984 0.016
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 0.9121 1.000 0.000 0.000 0.000 0.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 4 0.6476 0.4008 0.028 0.036 0.000 0.444 0.088 0.404
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 5 0.4271 0.5034 0.000 0.300 0.004 0.000 0.664 0.032
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.3740 0.7103 0.096 0.812 0.000 0.000 0.028 0.064
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.9722 0.000 0.000 1.000 0.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 6 0.5134 0.3230 0.388 0.000 0.000 0.088 0.000 0.524
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.3506 0.3745 0.000 0.156 0.000 0.792 0.000 0.052
#> 482285EC-BA43-441D-9986-7937B61A81D1 5 0.4347 0.5949 0.000 0.004 0.288 0.000 0.668 0.040
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.3918 0.4953 0.124 0.000 0.000 0.768 0.000 0.108
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.2191 0.7745 0.000 0.004 0.000 0.000 0.876 0.120
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.2378 0.5544 0.000 0.000 0.000 0.848 0.000 0.152
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.0260 0.8039 0.000 0.992 0.008 0.000 0.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0713 0.9020 0.972 0.000 0.000 0.000 0.000 0.028
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.9722 0.000 0.000 1.000 0.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.5031 -0.1567 0.476 0.000 0.000 0.060 0.004 0.460
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.3868 -0.4255 0.000 0.000 0.000 0.504 0.000 0.496
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0405 0.9112 0.988 0.008 0.000 0.000 0.000 0.004
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.2865 0.7943 0.852 0.004 0.000 0.020 0.004 0.120
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 5 0.0146 0.8050 0.000 0.000 0.000 0.004 0.996 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 6 0.5575 0.4953 0.168 0.000 0.000 0.304 0.000 0.528
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.5611 0.4304 0.144 0.004 0.000 0.524 0.000 0.328
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.5886 0.3664 0.220 0.004 0.000 0.504 0.000 0.272
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.1910 0.5550 0.000 0.000 0.000 0.892 0.000 0.108
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.0146 0.8061 0.000 0.996 0.004 0.000 0.000 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.4167 0.3442 0.000 0.612 0.000 0.000 0.368 0.020
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0146 0.9119 0.996 0.000 0.000 0.000 0.000 0.004
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.1882 0.8698 0.920 0.008 0.000 0.012 0.000 0.060
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 6 0.6605 -0.3470 0.020 0.008 0.000 0.348 0.220 0.404
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#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0363 0.9113 0.988 0.000 0.000 0.000 0.000 0.012
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.1584 0.5270 0.008 0.000 0.000 0.928 0.000 0.064
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.0865 0.5292 0.000 0.000 0.000 0.964 0.000 0.036
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.2697 0.3563 0.000 0.000 0.000 0.812 0.000 0.188
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.5466 0.4442 0.072 0.008 0.000 0.496 0.008 0.416
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 2 0.4136 0.5479 0.000 0.692 0.004 0.032 0.000 0.272
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 5 0.5484 0.5697 0.000 0.004 0.144 0.000 0.564 0.288
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.5331 0.4351 0.000 0.004 0.000 0.496 0.092 0.408
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.9121 1.000 0.000 0.000 0.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.5994 -0.2737 0.000 0.252 0.000 0.432 0.000 0.316
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.4570 0.4931 0.032 0.004 0.000 0.572 0.000 0.392
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 6 0.3955 0.4297 0.000 0.004 0.000 0.436 0.000 0.560
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 17604 rows and 183 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 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 0.333 0.657 0.843 0.3180 0.732 0.732
#> 3 3 0.376 0.623 0.826 0.3371 0.757 0.683
#> 4 4 0.302 0.618 0.771 0.3556 0.818 0.690
#> 5 5 0.357 0.594 0.752 0.1250 0.900 0.782
#> 6 6 0.412 0.503 0.719 0.0854 0.941 0.848
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 4
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.6460 0.000 1.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.6801 0.7202 0.820 0.180
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.7376 0.6992 0.792 0.208
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.7219 0.6445 0.200 0.800
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.1843 0.7998 0.972 0.028
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 1 0.9087 0.5601 0.676 0.324
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 1 0.9998 0.0707 0.508 0.492
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.6801 0.7202 0.820 0.180
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.8028 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.0000 0.8028 1.000 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.2423 0.7975 0.960 0.040
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.9881 0.4531 0.436 0.564
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.8028 1.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.8028 1.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.8028 1.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.9954 0.0769 0.460 0.540
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 1 0.9998 0.0707 0.508 0.492
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 0.8028 1.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 1 0.6048 0.7449 0.852 0.148
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.9944 0.0889 0.456 0.544
#> B56D29F2-ADF4-43B9-9013-071466244B4A 1 0.8144 0.6609 0.748 0.252
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.9881 0.4531 0.436 0.564
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.3879 0.7820 0.924 0.076
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.6973 0.7154 0.812 0.188
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.6460 0.000 1.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.8028 1.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 1 0.9170 0.5324 0.668 0.332
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.0376 0.8025 0.996 0.004
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.0000 0.8028 1.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.8028 1.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.9881 0.4531 0.436 0.564
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.5737 0.7520 0.864 0.136
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0000 0.8028 1.000 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0672 0.8029 0.992 0.008
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.9129 0.5542 0.672 0.328
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 1 0.9248 0.5288 0.660 0.340
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.8028 1.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0000 0.8028 1.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.3733 0.7857 0.928 0.072
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.0376 0.8025 0.996 0.004
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.7815 0.6732 0.768 0.232
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 1 0.8608 0.6149 0.716 0.284
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.2423 0.7977 0.960 0.040
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.4298 0.7778 0.912 0.088
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 1 0.5178 0.7647 0.884 0.116
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.7453 0.6375 0.212 0.788
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.0672 0.8029 0.992 0.008
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.7453 0.6375 0.212 0.788
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.0376 0.8031 0.996 0.004
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.2423 0.7977 0.960 0.040
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 1 0.9170 0.5475 0.668 0.332
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.1633 0.7997 0.976 0.024
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.8028 1.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 1 0.8499 0.6254 0.724 0.276
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.7299 0.6428 0.204 0.796
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.0000 0.8028 1.000 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 1 0.9491 0.4773 0.632 0.368
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.8028 1.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.9963 0.0591 0.464 0.536
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.9963 0.0591 0.464 0.536
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.1414 0.6528 0.020 0.980
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0000 0.8028 1.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 1 0.9710 0.4040 0.600 0.400
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.7219 0.7039 0.800 0.200
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.8028 1.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.8028 1.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.2043 0.7986 0.968 0.032
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.9170 0.5475 0.668 0.332
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.2043 0.6550 0.032 0.968
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.6148 0.6566 0.152 0.848
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.8028 1.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 1 0.8443 0.6296 0.728 0.272
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.8028 1.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.9881 0.4531 0.436 0.564
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.8028 1.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.8028 1.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 1 0.9170 0.5475 0.668 0.332
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0000 0.8028 1.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.8028 1.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.2423 0.7977 0.960 0.040
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.8028 1.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.8028 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.9881 0.4531 0.436 0.564
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.9129 0.5542 0.672 0.328
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 1 0.9754 0.3819 0.592 0.408
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.8028 1.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 1 0.6343 0.7364 0.840 0.160
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 1 0.9998 0.0707 0.508 0.492
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#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 1 0.9170 0.5324 0.668 0.332
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.6887 0.6505 0.184 0.816
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#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0938 0.8011 0.988 0.012
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.6460 0.000 1.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.8028 1.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.8028 1.000 0.000
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#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 1 0.9998 0.0707 0.508 0.492
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.0938 0.8002 0.988 0.012
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.7674 0.6245 0.224 0.776
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0000 0.8028 1.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 1 0.9460 0.4869 0.636 0.364
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#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.8028 1.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.8028 1.000 0.000
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#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.2043 0.7997 0.968 0.032
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.7219 0.6689 0.800 0.200
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#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.9170 0.5475 0.668 0.332
#> 57787823-A815-4783-930C-A5752E48FFBA 1 0.8909 0.5747 0.692 0.308
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.4161 0.7797 0.916 0.084
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 1 0.8763 0.5996 0.704 0.296
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.8028 1.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 1 0.9358 0.4835 0.648 0.352
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.2236 0.7989 0.964 0.036
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 1 0.8555 0.6210 0.720 0.280
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 1 0.9491 0.4773 0.632 0.368
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.5519 0.7587 0.872 0.128
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0376 0.8027 0.996 0.004
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0000 0.8028 1.000 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.9129 0.5542 0.672 0.328
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.5629 0.7588 0.868 0.132
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.8028 1.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.7453 0.6375 0.212 0.788
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.6460 0.000 1.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 1 0.9170 0.5324 0.668 0.332
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.8909 0.5875 0.692 0.308
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.8028 1.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.8028 1.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.7674 0.6810 0.776 0.224
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.8028 1.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.1843 0.8000 0.972 0.028
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 1 0.9909 0.2750 0.556 0.444
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.0000 0.8028 1.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 1 0.9044 0.5667 0.680 0.320
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.8028 1.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 1 0.9795 0.3599 0.584 0.416
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.8028 1.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.8207 0.6567 0.744 0.256
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 1 0.9248 0.5158 0.660 0.340
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.9881 0.4531 0.436 0.564
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.8443 0.6296 0.728 0.272
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.7745 0.6249 0.228 0.772
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.1843 0.7998 0.972 0.028
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.8028 1.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 1 0.9170 0.5475 0.668 0.332
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.8028 1.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 1 0.9460 0.4869 0.636 0.364
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.8028 1.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.9881 0.4531 0.436 0.564
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 1 0.7674 0.6855 0.776 0.224
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.6148 0.7398 0.848 0.152
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.9963 0.0591 0.464 0.536
#> CC008807-7264-4593-966F-104992B35873 1 0.9815 0.3481 0.580 0.420
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.8028 1.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.8028 1.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.8028 1.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.1843 0.8004 0.972 0.028
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0938 0.8011 0.988 0.012
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.4161 0.7792 0.916 0.084
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.0000 0.8028 1.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.1184 0.6518 0.016 0.984
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.1843 0.7998 0.972 0.028
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0938 0.8029 0.988 0.012
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.8028 1.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.8028 1.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0376 0.8027 0.996 0.004
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.5016 0.1250 0.000 0.760 0.240
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.4796 0.6350 0.780 0.220 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.5098 0.5865 0.752 0.248 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.3042 0.4084 0.040 0.920 0.040
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.1765 0.8165 0.956 0.040 0.004
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 1 0.6280 -0.0896 0.540 0.460 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.5706 0.6001 0.320 0.680 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.4702 0.6461 0.788 0.212 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0475 0.8180 0.992 0.004 0.004
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.1031 0.8222 0.976 0.024 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.1964 0.8138 0.944 0.056 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0237 1.0000 0.000 0.004 0.996
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.3116 0.7958 0.892 0.108 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.3116 0.7958 0.892 0.108 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.2261 0.8117 0.932 0.068 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.6027 0.6206 0.272 0.712 0.016
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.5706 0.6001 0.320 0.680 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.2356 0.8116 0.928 0.072 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 1 0.5058 0.6193 0.756 0.244 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.6161 0.6209 0.272 0.708 0.020
#> B56D29F2-ADF4-43B9-9013-071466244B4A 1 0.6326 0.4573 0.688 0.292 0.020
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0237 1.0000 0.000 0.004 0.996
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.3482 0.7698 0.872 0.128 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.5397 0.5418 0.720 0.280 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.5016 0.1250 0.000 0.760 0.240
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0661 0.8178 0.988 0.008 0.004
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 1 0.6126 0.0830 0.600 0.400 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.0983 0.8196 0.980 0.016 0.004
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.2448 0.8078 0.924 0.076 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.1860 0.8160 0.948 0.052 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0237 1.0000 0.000 0.004 0.996
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.3941 0.7337 0.844 0.156 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0475 0.8180 0.992 0.004 0.004
#> AA838488-4A13-4998-B261-91590113F37D 1 0.2711 0.8056 0.912 0.088 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.6305 0.2274 0.484 0.516 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 1 0.6209 0.2196 0.628 0.368 0.004
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0747 0.8216 0.984 0.016 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0661 0.8194 0.988 0.008 0.004
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.3192 0.7890 0.888 0.112 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.0983 0.8196 0.980 0.016 0.004
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.5650 0.4548 0.688 0.312 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 1 0.6062 0.2183 0.616 0.384 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.2537 0.8149 0.920 0.080 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.3686 0.7581 0.860 0.140 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 1 0.4121 0.7287 0.832 0.168 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.3148 0.4236 0.048 0.916 0.036
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.2711 0.8056 0.912 0.088 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.3148 0.4236 0.048 0.916 0.036
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.0592 0.8211 0.988 0.012 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.2959 0.8103 0.900 0.100 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.6286 0.3259 0.464 0.536 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.1525 0.8176 0.964 0.032 0.004
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0237 0.8172 0.996 0.000 0.004
#> EFA708D5-586A-4184-B614-48AEFC5E8631 1 0.6180 0.1095 0.584 0.416 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.3155 0.4153 0.044 0.916 0.040
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.2537 0.8063 0.920 0.080 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.6307 0.3112 0.488 0.512 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.1860 0.8151 0.948 0.052 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.6357 0.6122 0.296 0.684 0.020
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.6357 0.6122 0.296 0.684 0.020
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.5774 0.1653 0.020 0.748 0.232
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0475 0.8180 0.992 0.004 0.004
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.6432 0.4612 0.428 0.568 0.004
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.5678 0.5179 0.684 0.316 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0475 0.8167 0.992 0.004 0.004
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.1964 0.8184 0.944 0.056 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.1765 0.8165 0.956 0.040 0.004
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 0.6235 0.3759 0.436 0.564 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.5109 0.1839 0.008 0.780 0.212
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.4092 0.3599 0.036 0.876 0.088
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.1647 0.8219 0.960 0.036 0.004
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 1 0.5968 0.2931 0.636 0.364 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0237 0.8172 0.996 0.000 0.004
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0237 1.0000 0.000 0.004 0.996
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0237 0.8172 0.996 0.000 0.004
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.1878 0.8163 0.952 0.044 0.004
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.6286 0.3259 0.464 0.536 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0892 0.8208 0.980 0.020 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.1525 0.8200 0.964 0.032 0.004
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.2448 0.8174 0.924 0.076 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0829 0.8195 0.984 0.012 0.004
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0237 0.8172 0.996 0.000 0.004
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0237 1.0000 0.000 0.004 0.996
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.6235 0.3712 0.436 0.564 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.6260 0.4211 0.448 0.552 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.2448 0.8084 0.924 0.076 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 1 0.5178 0.5948 0.744 0.256 0.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.5706 0.6001 0.320 0.680 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0475 0.8180 0.992 0.004 0.004
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 1 0.6140 0.1528 0.596 0.404 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 1 0.6126 0.0830 0.600 0.400 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.3572 0.4007 0.040 0.900 0.060
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0237 0.8172 0.996 0.000 0.004
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.5706 0.6001 0.320 0.680 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.5760 0.5938 0.328 0.672 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.3879 0.7557 0.848 0.152 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0829 0.8183 0.984 0.012 0.004
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.5016 0.1250 0.000 0.760 0.240
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.2261 0.8117 0.932 0.068 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0237 0.8172 0.996 0.000 0.004
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0237 1.0000 0.000 0.004 0.996
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.2261 0.8117 0.932 0.068 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.2537 0.8154 0.920 0.080 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 1 0.7188 0.4078 0.664 0.280 0.056
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.5706 0.6001 0.320 0.680 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.2066 0.8123 0.940 0.060 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.3530 0.4432 0.068 0.900 0.032
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0237 0.8172 0.996 0.000 0.004
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.6309 0.2662 0.500 0.500 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.2066 0.8140 0.940 0.060 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.2261 0.8117 0.932 0.068 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0237 0.8172 0.996 0.000 0.004
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 1 0.6143 0.4364 0.684 0.304 0.012
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.6451 0.4497 0.436 0.560 0.004
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.2096 0.8146 0.944 0.052 0.004
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0475 0.8180 0.992 0.004 0.004
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.6386 0.4945 0.412 0.584 0.004
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.1129 0.8180 0.976 0.020 0.004
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0983 0.8219 0.980 0.016 0.004
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.5327 0.5926 0.728 0.272 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.6126 0.5098 0.400 0.600 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.2261 0.8205 0.932 0.068 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.6372 0.6398 0.764 0.152 0.084
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.6189 0.2315 0.632 0.364 0.004
#> C7698440-CD13-438F-A60F-063D94C9ECAD 2 0.6286 0.3259 0.464 0.536 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 1 0.7590 0.3914 0.652 0.268 0.080
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.3686 0.7626 0.860 0.140 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 1 0.6302 -0.1887 0.520 0.480 0.000
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0475 0.8180 0.992 0.004 0.004
#> 08C4C14A-94A8-4063-BBC3-916579960078 1 0.6298 0.1139 0.608 0.388 0.004
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.2448 0.8155 0.924 0.076 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 1 0.6008 0.2679 0.628 0.372 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.6308 0.2843 0.492 0.508 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.3983 0.7306 0.852 0.144 0.004
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0424 0.8200 0.992 0.008 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0475 0.8180 0.992 0.004 0.004
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.6235 0.3712 0.436 0.564 0.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.4326 0.7331 0.844 0.144 0.012
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0237 0.8172 0.996 0.000 0.004
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.3148 0.4236 0.048 0.916 0.036
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.5016 0.1250 0.000 0.760 0.240
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 1 0.6126 0.0799 0.600 0.400 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.6126 0.3299 0.644 0.352 0.004
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.2261 0.8117 0.932 0.068 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.2165 0.8119 0.936 0.064 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.6535 0.5696 0.728 0.220 0.052
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0475 0.8186 0.992 0.004 0.004
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.2448 0.8119 0.924 0.076 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.6330 0.5150 0.396 0.600 0.004
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.2448 0.8078 0.924 0.076 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 1 0.6318 0.2694 0.636 0.356 0.008
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.2261 0.8117 0.932 0.068 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.6244 0.4394 0.440 0.560 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.1765 0.8213 0.956 0.040 0.004
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.6113 0.4484 0.688 0.300 0.012
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 1 0.6260 -0.1075 0.552 0.448 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0237 1.0000 0.000 0.004 0.996
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.6062 0.2354 0.616 0.384 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.3764 0.4454 0.068 0.892 0.040
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.1765 0.8165 0.956 0.040 0.004
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.3116 0.7958 0.892 0.108 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.6286 0.3259 0.464 0.536 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0237 0.8172 0.996 0.000 0.004
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.6309 0.2662 0.500 0.500 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.2066 0.8140 0.940 0.060 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0237 1.0000 0.000 0.004 0.996
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 1 0.5733 0.4435 0.676 0.324 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.4293 0.6962 0.832 0.164 0.004
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.6357 0.6122 0.296 0.684 0.020
#> CC008807-7264-4593-966F-104992B35873 2 0.6267 0.4255 0.452 0.548 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.2261 0.8117 0.932 0.068 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.2066 0.8140 0.940 0.060 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0661 0.8178 0.988 0.008 0.004
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.1753 0.8216 0.952 0.048 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0829 0.8183 0.984 0.012 0.004
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.3500 0.7774 0.880 0.116 0.004
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.2448 0.8078 0.924 0.076 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.5639 0.1566 0.016 0.752 0.232
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.1765 0.8165 0.956 0.040 0.004
#> 67E92530-3B19-424C-B219-958A88909046 1 0.1964 0.8185 0.944 0.056 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.2448 0.8084 0.924 0.076 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0475 0.8181 0.992 0.004 0.004
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.1753 0.8223 0.952 0.048 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 4 0.5714 0.7728 0.000 0.128 0.156 0.716
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.5420 0.4322 0.624 0.352 0.000 0.024
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.5681 0.3107 0.568 0.404 0.000 0.028
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 4 0.4897 0.8263 0.004 0.324 0.004 0.668
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.5906 0.4898 0.644 0.292 0.000 0.064
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.4776 0.6457 0.244 0.732 0.000 0.024
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.5386 0.0496 0.024 0.632 0.000 0.344
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.5386 0.4498 0.632 0.344 0.000 0.024
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.1388 0.7818 0.960 0.028 0.000 0.012
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.1890 0.7894 0.936 0.056 0.000 0.008
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.3428 0.7562 0.844 0.144 0.000 0.012
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 1.0000 0.000 0.000 1.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.3745 0.7486 0.852 0.060 0.000 0.088
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.3745 0.7486 0.852 0.060 0.000 0.088
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.2751 0.7740 0.904 0.040 0.000 0.056
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.5614 0.1589 0.044 0.652 0.000 0.304
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.5386 0.0496 0.024 0.632 0.000 0.344
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.4055 0.7697 0.832 0.108 0.000 0.060
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.5296 -0.0719 0.492 0.500 0.000 0.008
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.5430 0.1637 0.036 0.664 0.000 0.300
#> B56D29F2-ADF4-43B9-9013-071466244B4A 1 0.6315 0.1305 0.520 0.432 0.012 0.036
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 1.0000 0.000 0.000 1.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.4452 0.6593 0.732 0.260 0.000 0.008
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.5268 0.1329 0.452 0.540 0.000 0.008
#> 482285EC-BA43-441D-9986-7937B61A81D1 4 0.5714 0.7728 0.000 0.128 0.156 0.716
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0779 0.7834 0.980 0.016 0.000 0.004
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.7464 0.4626 0.296 0.496 0.000 0.208
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.5458 0.5781 0.704 0.236 0.000 0.060
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.4194 0.6564 0.764 0.228 0.000 0.008
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.2500 0.7795 0.916 0.044 0.000 0.040
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 1.0000 0.000 0.000 1.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.4661 0.6402 0.728 0.256 0.000 0.016
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.1929 0.7795 0.940 0.036 0.000 0.024
#> AA838488-4A13-4998-B261-91590113F37D 1 0.4313 0.6603 0.736 0.260 0.000 0.004
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.5208 0.6402 0.172 0.748 0.000 0.080
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 1 0.7069 -0.1179 0.468 0.408 0.000 0.124
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.1356 0.7881 0.960 0.032 0.000 0.008
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.1767 0.7837 0.944 0.044 0.000 0.012
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.5025 0.6548 0.716 0.252 0.000 0.032
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.5458 0.5781 0.704 0.236 0.000 0.060
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.5088 0.2598 0.424 0.572 0.000 0.004
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.4814 0.5318 0.316 0.676 0.000 0.008
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.3958 0.7606 0.824 0.144 0.000 0.032
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.4647 0.6225 0.704 0.288 0.000 0.008
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 1 0.5313 0.4157 0.608 0.376 0.000 0.016
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 4 0.4889 0.8102 0.004 0.360 0.000 0.636
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.4343 0.6550 0.732 0.264 0.000 0.004
#> 081452CB-9401-4678-9BA2-431CB2ECF105 4 0.4889 0.8102 0.004 0.360 0.000 0.636
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.2662 0.7796 0.900 0.084 0.000 0.016
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.4285 0.7522 0.804 0.156 0.000 0.040
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.4817 0.6310 0.128 0.784 0.000 0.088
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.5102 0.6320 0.748 0.188 0.000 0.064
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0927 0.7823 0.976 0.016 0.000 0.008
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.4567 0.6004 0.276 0.716 0.000 0.008
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 4 0.5013 0.8102 0.004 0.348 0.004 0.644
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.4188 0.6571 0.752 0.244 0.000 0.004
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.4916 0.6510 0.184 0.760 0.000 0.056
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.2408 0.7810 0.920 0.036 0.000 0.044
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.6098 0.2066 0.068 0.616 0.000 0.316
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.6098 0.2066 0.068 0.616 0.000 0.316
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 4 0.6433 0.7850 0.008 0.168 0.152 0.672
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.1256 0.7829 0.964 0.028 0.000 0.008
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.4581 0.6118 0.120 0.800 0.000 0.080
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.6477 0.1987 0.508 0.420 0.000 0.072
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0927 0.7835 0.976 0.016 0.000 0.008
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.2399 0.7819 0.920 0.048 0.000 0.032
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.6013 0.4829 0.640 0.288 0.000 0.072
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 0.4727 0.6153 0.108 0.792 0.000 0.100
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 4 0.6235 0.8033 0.004 0.180 0.136 0.680
#> 15532795-F8EC-4460-9972-82EC355E3B06 4 0.5234 0.8377 0.004 0.256 0.032 0.708
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.2976 0.7638 0.872 0.120 0.000 0.008
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.4741 0.5089 0.328 0.668 0.000 0.004
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0804 0.7807 0.980 0.012 0.000 0.008
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 1.0000 0.000 0.000 1.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.1042 0.7827 0.972 0.020 0.000 0.008
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.2036 0.7833 0.936 0.032 0.000 0.032
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.4817 0.6310 0.128 0.784 0.000 0.088
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.1938 0.7895 0.936 0.052 0.000 0.012
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.1975 0.7896 0.936 0.048 0.000 0.016
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.3999 0.7632 0.824 0.140 0.000 0.036
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.1452 0.7825 0.956 0.036 0.000 0.008
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0927 0.7817 0.976 0.016 0.000 0.008
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 1.0000 0.000 0.000 1.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.4728 0.6123 0.104 0.792 0.000 0.104
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.5011 0.6391 0.160 0.764 0.000 0.076
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.4155 0.6645 0.756 0.240 0.000 0.004
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.5163 0.0073 0.480 0.516 0.000 0.004
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.5386 0.0496 0.024 0.632 0.000 0.344
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.1256 0.7829 0.964 0.028 0.000 0.008
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.4222 0.6085 0.272 0.728 0.000 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.7464 0.4626 0.296 0.496 0.000 0.208
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 4 0.5009 0.8366 0.004 0.280 0.016 0.700
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0672 0.7809 0.984 0.008 0.000 0.008
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.5386 0.0496 0.024 0.632 0.000 0.344
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.5386 0.0572 0.024 0.632 0.000 0.344
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.5252 0.5398 0.644 0.336 0.000 0.020
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.2313 0.7784 0.924 0.044 0.000 0.032
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 4 0.5714 0.7728 0.000 0.128 0.156 0.716
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.2751 0.7740 0.904 0.040 0.000 0.056
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0524 0.7793 0.988 0.004 0.000 0.008
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 1.0000 0.000 0.000 1.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.2759 0.7747 0.904 0.044 0.000 0.052
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.3934 0.7703 0.836 0.116 0.000 0.048
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 1 0.7253 0.0784 0.492 0.412 0.044 0.052
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.5386 0.0496 0.024 0.632 0.000 0.344
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.4163 0.7089 0.792 0.188 0.000 0.020
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 4 0.5149 0.8141 0.016 0.336 0.000 0.648
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0937 0.7805 0.976 0.012 0.000 0.012
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.3790 0.6553 0.164 0.820 0.000 0.016
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.2586 0.7762 0.912 0.040 0.000 0.048
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.2751 0.7740 0.904 0.040 0.000 0.056
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0672 0.7807 0.984 0.008 0.000 0.008
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 1 0.5700 0.0801 0.508 0.472 0.008 0.012
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.4621 0.6189 0.128 0.796 0.000 0.076
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.3634 0.7780 0.856 0.096 0.000 0.048
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0524 0.7791 0.988 0.004 0.000 0.008
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.5272 0.5729 0.112 0.752 0.000 0.136
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.1510 0.7837 0.956 0.028 0.000 0.016
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.1545 0.7881 0.952 0.040 0.000 0.008
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.6020 0.3598 0.568 0.384 0.000 0.048
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.5277 0.5677 0.116 0.752 0.000 0.132
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.3335 0.7741 0.856 0.128 0.000 0.016
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.6618 0.5289 0.652 0.252 0.052 0.044
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.7030 -0.1074 0.472 0.408 0.000 0.120
#> C7698440-CD13-438F-A60F-063D94C9ECAD 2 0.4817 0.6310 0.128 0.784 0.000 0.088
#> 57787823-A815-4783-930C-A5752E48FFBA 1 0.7601 0.0706 0.488 0.392 0.052 0.068
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.4621 0.6298 0.708 0.284 0.000 0.008
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.3969 0.6586 0.180 0.804 0.000 0.016
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.1452 0.7844 0.956 0.036 0.000 0.008
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.7711 0.4184 0.340 0.428 0.000 0.232
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.4540 0.7286 0.772 0.196 0.000 0.032
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.4837 0.4692 0.348 0.648 0.000 0.004
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.5325 0.6531 0.204 0.728 0.000 0.068
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.4594 0.5900 0.712 0.280 0.000 0.008
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.1297 0.7844 0.964 0.020 0.000 0.016
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.1929 0.7795 0.940 0.036 0.000 0.024
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.4728 0.6123 0.104 0.792 0.000 0.104
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.5037 0.6073 0.712 0.264 0.008 0.016
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0672 0.7810 0.984 0.008 0.000 0.008
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 4 0.4889 0.8102 0.004 0.360 0.000 0.636
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 4 0.5714 0.7728 0.000 0.128 0.156 0.716
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.7503 0.4641 0.300 0.488 0.000 0.212
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.6754 -0.0362 0.464 0.444 0.000 0.092
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.2751 0.7740 0.904 0.040 0.000 0.056
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.2675 0.7756 0.908 0.044 0.000 0.048
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.6562 0.3019 0.556 0.380 0.044 0.020
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0895 0.7839 0.976 0.020 0.000 0.004
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.3539 0.7429 0.820 0.176 0.000 0.004
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.5272 0.5616 0.112 0.752 0.000 0.136
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.4194 0.6564 0.764 0.228 0.000 0.008
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 1 0.6797 -0.1014 0.468 0.436 0.000 0.096
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.2751 0.7740 0.904 0.040 0.000 0.056
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.5096 0.6341 0.156 0.760 0.000 0.084
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.2342 0.7764 0.912 0.080 0.000 0.008
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.5700 0.0847 0.508 0.472 0.008 0.012
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.7065 0.4348 0.212 0.572 0.000 0.216
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 1.0000 0.000 0.000 1.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.4608 0.5514 0.304 0.692 0.000 0.004
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 4 0.5259 0.7650 0.008 0.376 0.004 0.612
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.5906 0.4898 0.644 0.292 0.000 0.064
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.3745 0.7486 0.852 0.060 0.000 0.088
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.4817 0.6310 0.128 0.784 0.000 0.088
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0524 0.7793 0.988 0.004 0.000 0.008
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.3790 0.6553 0.164 0.820 0.000 0.016
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.2586 0.7762 0.912 0.040 0.000 0.048
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 1.0000 0.000 0.000 1.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.5189 0.4093 0.372 0.616 0.000 0.012
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.4606 0.5938 0.724 0.264 0.000 0.012
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.6098 0.2066 0.068 0.616 0.000 0.316
#> CC008807-7264-4593-966F-104992B35873 2 0.5436 0.6406 0.176 0.732 0.000 0.092
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.2660 0.7750 0.908 0.036 0.000 0.056
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.2586 0.7762 0.912 0.040 0.000 0.048
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0657 0.7832 0.984 0.012 0.000 0.004
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.3447 0.7642 0.852 0.128 0.000 0.020
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.2313 0.7784 0.924 0.044 0.000 0.032
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.4868 0.6238 0.720 0.256 0.000 0.024
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.4194 0.6564 0.764 0.228 0.000 0.008
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 4 0.6131 0.7772 0.008 0.140 0.152 0.700
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.5393 0.5638 0.688 0.268 0.000 0.044
#> 67E92530-3B19-424C-B219-958A88909046 1 0.2996 0.7836 0.892 0.064 0.000 0.044
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.4155 0.6645 0.756 0.240 0.000 0.004
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0927 0.7827 0.976 0.016 0.000 0.008
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.3355 0.7441 0.836 0.160 0.000 0.004
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 1 0.2818 0.7834 0.860 0.008 0.128 0.000 0.004
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.5266 0.3405 0.008 0.364 0.000 0.588 0.040
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.6021 0.0570 0.008 0.428 0.000 0.476 0.088
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 1 0.3281 0.8088 0.848 0.092 0.000 0.000 0.060
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.5699 0.4107 0.000 0.128 0.000 0.608 0.264
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.4557 0.5934 0.028 0.768 0.000 0.160 0.044
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.5679 0.5860 0.152 0.172 0.000 0.012 0.664
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.5241 0.3604 0.008 0.356 0.000 0.596 0.040
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.1493 0.7519 0.000 0.028 0.000 0.948 0.024
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.1914 0.7639 0.000 0.060 0.000 0.924 0.016
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.3586 0.7071 0.000 0.188 0.000 0.792 0.020
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 4 0.5275 0.6050 0.008 0.092 0.000 0.684 0.216
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 4 0.5275 0.6050 0.008 0.092 0.000 0.684 0.216
#> 785376B4-CBAE-4014-B08C-58A42A88583B 4 0.3359 0.7427 0.000 0.072 0.000 0.844 0.084
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.5396 0.1669 0.352 0.592 0.000 0.012 0.044
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.5679 0.5860 0.152 0.172 0.000 0.012 0.664
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 4 0.4203 0.7324 0.000 0.128 0.000 0.780 0.092
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.4722 0.3135 0.000 0.608 0.000 0.368 0.024
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.5179 0.1775 0.352 0.600 0.000 0.004 0.044
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.5994 0.2559 0.052 0.520 0.008 0.404 0.016
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 4 0.5087 0.4812 0.012 0.344 0.000 0.616 0.028
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.4508 0.4175 0.000 0.648 0.000 0.332 0.020
#> 482285EC-BA43-441D-9986-7937B61A81D1 1 0.2818 0.7834 0.860 0.008 0.128 0.000 0.004
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.1485 0.7615 0.000 0.032 0.000 0.948 0.020
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.8342 0.4356 0.144 0.256 0.000 0.252 0.348
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.5059 0.4949 0.000 0.076 0.000 0.668 0.256
#> 87432922-178A-451F-AB92-56FFED13EF3E 4 0.6099 0.3464 0.008 0.324 0.000 0.552 0.116
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 4 0.3242 0.7487 0.000 0.076 0.000 0.852 0.072
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.4445 0.5657 0.000 0.300 0.000 0.676 0.024
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.2236 0.7403 0.000 0.024 0.000 0.908 0.068
#> AA838488-4A13-4998-B261-91590113F37D 4 0.4757 0.4678 0.000 0.380 0.000 0.596 0.024
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.4649 0.5019 0.008 0.752 0.000 0.080 0.160
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 4 0.7434 -0.2559 0.160 0.388 0.000 0.392 0.060
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 4 0.1907 0.7636 0.000 0.044 0.000 0.928 0.028
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.1818 0.7594 0.000 0.044 0.000 0.932 0.024
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.5235 0.5755 0.004 0.280 0.000 0.648 0.068
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.5059 0.4949 0.000 0.076 0.000 0.668 0.256
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.4318 0.5025 0.000 0.688 0.000 0.292 0.020
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.3718 0.5839 0.004 0.784 0.000 0.196 0.016
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 4 0.4418 0.7130 0.004 0.180 0.000 0.756 0.060
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 4 0.5199 0.4058 0.012 0.380 0.000 0.580 0.028
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 4 0.5524 0.1505 0.008 0.428 0.000 0.516 0.048
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 1 0.4020 0.7887 0.796 0.108 0.000 0.000 0.096
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 4 0.4757 0.4587 0.000 0.380 0.000 0.596 0.024
#> 081452CB-9401-4678-9BA2-431CB2ECF105 1 0.4020 0.7887 0.796 0.108 0.000 0.000 0.096
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.2729 0.7487 0.000 0.056 0.000 0.884 0.060
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 4 0.4550 0.7028 0.004 0.188 0.000 0.744 0.064
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.4607 0.4578 0.020 0.752 0.000 0.044 0.184
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.4615 0.5321 0.000 0.048 0.000 0.700 0.252
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.0992 0.7575 0.000 0.024 0.000 0.968 0.008
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.3653 0.5898 0.012 0.808 0.000 0.164 0.016
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 1 0.4073 0.7853 0.792 0.104 0.000 0.000 0.104
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 4 0.4626 0.4716 0.000 0.364 0.000 0.616 0.020
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.4129 0.5937 0.076 0.808 0.000 0.100 0.016
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 4 0.2726 0.7562 0.000 0.052 0.000 0.884 0.064
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.5280 0.1918 0.372 0.584 0.000 0.020 0.024
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.5280 0.1918 0.372 0.584 0.000 0.020 0.024
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 1 0.4082 0.7908 0.812 0.040 0.124 0.004 0.020
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.1310 0.7554 0.000 0.024 0.000 0.956 0.020
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.4063 0.5554 0.112 0.812 0.000 0.056 0.020
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.6110 -0.0386 0.004 0.448 0.000 0.440 0.108
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.1106 0.7610 0.000 0.024 0.000 0.964 0.012
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 4 0.3455 0.7509 0.004 0.084 0.000 0.844 0.068
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.6041 0.4002 0.008 0.132 0.000 0.588 0.272
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 0.4552 0.4402 0.020 0.744 0.000 0.032 0.204
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 1 0.4726 0.8067 0.776 0.068 0.124 0.004 0.028
#> 15532795-F8EC-4460-9972-82EC355E3B06 1 0.3224 0.8201 0.868 0.076 0.028 0.000 0.028
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.3602 0.7021 0.000 0.180 0.000 0.796 0.024
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.3596 0.5804 0.000 0.784 0.000 0.200 0.016
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.1568 0.7596 0.000 0.036 0.000 0.944 0.020
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.0992 0.7575 0.000 0.024 0.000 0.968 0.008
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 4 0.2450 0.7572 0.000 0.052 0.000 0.900 0.048
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.4607 0.4578 0.020 0.752 0.000 0.044 0.184
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.1981 0.7641 0.000 0.048 0.000 0.924 0.028
#> 3E070741-BBA0-4806-8D74-08595E249252 4 0.1981 0.7645 0.000 0.048 0.000 0.924 0.028
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.4133 0.7198 0.000 0.180 0.000 0.768 0.052
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 4 0.3888 0.7092 0.008 0.064 0.000 0.816 0.112
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.1012 0.7559 0.000 0.020 0.000 0.968 0.012
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.4328 0.4310 0.016 0.752 0.000 0.024 0.208
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.3827 0.5671 0.112 0.816 0.000 0.068 0.004
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.4599 0.4822 0.000 0.356 0.000 0.624 0.020
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.4682 0.3662 0.000 0.620 0.000 0.356 0.024
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 5 0.5679 0.5860 0.152 0.172 0.000 0.012 0.664
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.1310 0.7554 0.000 0.024 0.000 0.956 0.020
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.3239 0.5938 0.004 0.828 0.000 0.156 0.012
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 5 0.8342 0.4356 0.144 0.256 0.000 0.252 0.348
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 1 0.3316 0.8191 0.860 0.072 0.012 0.000 0.056
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.1300 0.7598 0.000 0.028 0.000 0.956 0.016
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 5 0.5679 0.5860 0.152 0.172 0.000 0.012 0.664
#> F7B2E263-F0AE-440E-96C5-139233079A06 5 0.5646 0.5820 0.152 0.168 0.000 0.012 0.668
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.5232 0.4485 0.000 0.340 0.000 0.600 0.060
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.3401 0.7313 0.008 0.072 0.000 0.852 0.068
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 1 0.2818 0.7834 0.860 0.008 0.128 0.000 0.004
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 4 0.3359 0.7427 0.000 0.072 0.000 0.844 0.084
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.1012 0.7558 0.000 0.020 0.000 0.968 0.012
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 4 0.3362 0.7433 0.000 0.076 0.000 0.844 0.080
#> D227D812-6DF9-4954-9A50-6EBF6486116C 4 0.4212 0.7283 0.000 0.144 0.000 0.776 0.080
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.6838 0.2847 0.064 0.496 0.036 0.380 0.024
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.5679 0.5860 0.152 0.172 0.000 0.012 0.664
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.4710 0.6689 0.016 0.084 0.000 0.760 0.140
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 1 0.4085 0.7929 0.804 0.104 0.000 0.008 0.084
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.1012 0.7541 0.000 0.020 0.000 0.968 0.012
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.2867 0.5845 0.044 0.880 0.000 0.072 0.004
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 4 0.3301 0.7457 0.000 0.072 0.000 0.848 0.080
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 4 0.3359 0.7427 0.000 0.072 0.000 0.844 0.084
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.1281 0.7585 0.000 0.032 0.000 0.956 0.012
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.5573 0.2926 0.016 0.560 0.008 0.388 0.028
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.4143 0.5615 0.108 0.808 0.000 0.064 0.020
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 4 0.3861 0.7432 0.000 0.128 0.000 0.804 0.068
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.1310 0.7587 0.000 0.024 0.000 0.956 0.020
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.4569 0.5171 0.172 0.760 0.000 0.048 0.020
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 4 0.2104 0.7600 0.000 0.060 0.000 0.916 0.024
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.3294 0.7407 0.008 0.124 0.000 0.844 0.024
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 4 0.5724 0.2181 0.004 0.420 0.000 0.504 0.072
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.4443 0.4999 0.176 0.764 0.000 0.044 0.016
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 4 0.3615 0.7369 0.000 0.156 0.000 0.808 0.036
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 4 0.6632 0.2954 0.052 0.340 0.044 0.544 0.020
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.7364 -0.2557 0.148 0.396 0.000 0.396 0.060
#> C7698440-CD13-438F-A60F-063D94C9ECAD 2 0.4607 0.4578 0.020 0.752 0.000 0.044 0.184
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.7076 0.2744 0.080 0.476 0.044 0.380 0.020
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 4 0.5087 0.4207 0.008 0.376 0.000 0.588 0.028
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.3829 0.5769 0.016 0.828 0.000 0.096 0.060
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.1549 0.7587 0.000 0.040 0.000 0.944 0.016
#> 08C4C14A-94A8-4063-BBC3-916579960078 5 0.6339 0.4430 0.004 0.168 0.000 0.300 0.528
#> B11753A0-829F-4913-B894-F07A53FF1C92 4 0.4915 0.6603 0.004 0.236 0.000 0.696 0.064
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.4153 0.5653 0.016 0.740 0.000 0.236 0.008
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.4826 0.5946 0.080 0.764 0.000 0.124 0.032
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.5156 0.4293 0.008 0.332 0.000 0.620 0.040
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.2067 0.7646 0.000 0.048 0.000 0.920 0.032
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.2236 0.7403 0.000 0.024 0.000 0.908 0.068
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.4328 0.4310 0.016 0.752 0.000 0.024 0.208
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.5278 0.4103 0.008 0.352 0.008 0.604 0.028
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.0693 0.7564 0.000 0.012 0.000 0.980 0.008
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 1 0.4020 0.7887 0.796 0.108 0.000 0.000 0.096
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 1 0.2818 0.7834 0.860 0.008 0.128 0.000 0.004
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 5 0.8342 0.4337 0.144 0.256 0.000 0.252 0.348
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.7332 0.2016 0.108 0.420 0.000 0.388 0.084
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 4 0.3359 0.7427 0.000 0.072 0.000 0.844 0.084
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 4 0.3460 0.7441 0.004 0.076 0.000 0.844 0.076
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 2 0.6368 0.0879 0.028 0.472 0.036 0.440 0.024
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.1522 0.7614 0.000 0.044 0.000 0.944 0.012
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 4 0.4727 0.6147 0.012 0.268 0.000 0.692 0.028
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.4479 0.4986 0.180 0.760 0.000 0.044 0.016
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 4 0.6099 0.3464 0.008 0.324 0.000 0.552 0.116
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.7239 0.2313 0.144 0.416 0.000 0.388 0.052
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 4 0.3359 0.7427 0.000 0.072 0.000 0.844 0.084
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.3924 0.5639 0.120 0.808 0.000 0.068 0.004
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.2625 0.7469 0.000 0.108 0.000 0.876 0.016
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.5573 0.2911 0.016 0.560 0.008 0.388 0.028
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.8246 0.5126 0.184 0.256 0.000 0.168 0.392
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.3575 0.5868 0.004 0.800 0.000 0.180 0.016
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 1 0.4277 0.7358 0.768 0.156 0.000 0.000 0.076
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.5699 0.4107 0.000 0.128 0.000 0.608 0.264
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 4 0.5275 0.6050 0.008 0.092 0.000 0.684 0.216
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.4607 0.4578 0.020 0.752 0.000 0.044 0.184
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.1117 0.7551 0.000 0.020 0.000 0.964 0.016
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.2867 0.5845 0.044 0.880 0.000 0.072 0.004
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 4 0.3242 0.7450 0.000 0.072 0.000 0.852 0.076
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.4262 0.5516 0.016 0.724 0.000 0.252 0.008
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.4492 0.5258 0.004 0.296 0.000 0.680 0.020
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.5280 0.1918 0.372 0.584 0.000 0.020 0.024
#> CC008807-7264-4593-966F-104992B35873 2 0.4794 0.5744 0.120 0.760 0.000 0.100 0.020
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 4 0.3242 0.7462 0.000 0.072 0.000 0.852 0.076
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 4 0.3242 0.7450 0.000 0.072 0.000 0.852 0.076
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.1399 0.7614 0.000 0.028 0.000 0.952 0.020
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.3445 0.7302 0.000 0.140 0.000 0.824 0.036
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.3401 0.7313 0.008 0.072 0.000 0.852 0.068
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.4922 0.5583 0.004 0.256 0.000 0.684 0.056
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 4 0.6099 0.3464 0.008 0.324 0.000 0.552 0.116
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 1 0.3238 0.7858 0.848 0.020 0.124 0.004 0.004
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.5464 0.5043 0.000 0.128 0.000 0.648 0.224
#> 67E92530-3B19-424C-B219-958A88909046 4 0.3336 0.7517 0.000 0.096 0.000 0.844 0.060
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.4599 0.4822 0.000 0.356 0.000 0.624 0.020
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.1012 0.7575 0.000 0.020 0.000 0.968 0.012
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.4141 0.6482 0.000 0.248 0.000 0.728 0.024
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 5 0.2070 0.7943 0.012 0.000 0.092 0.000 0.896 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.5244 0.2295 0.064 0.372 0.000 0.548 0.000 0.016
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.6786 0.0751 0.160 0.412 0.000 0.376 0.028 0.024
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.3893 0.8154 0.000 0.080 0.000 0.000 0.764 0.156
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.6641 0.1546 0.248 0.084 0.000 0.524 0.004 0.140
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.3835 0.5774 0.036 0.812 0.000 0.112 0.028 0.012
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 6 0.1492 0.6035 0.000 0.036 0.000 0.000 0.024 0.940
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.5206 0.2549 0.064 0.356 0.000 0.564 0.000 0.016
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.2571 0.6047 0.060 0.020 0.000 0.892 0.004 0.024
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.2328 0.6282 0.052 0.056 0.000 0.892 0.000 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.4604 0.5419 0.092 0.172 0.000 0.720 0.016 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.9994 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.4388 0.5374 0.560 0.012 0.000 0.420 0.004 0.004
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.4388 0.5374 0.560 0.012 0.000 0.420 0.004 0.004
#> 785376B4-CBAE-4014-B08C-58A42A88583B 4 0.3418 0.5546 0.184 0.032 0.000 0.784 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.4546 0.2165 0.016 0.608 0.000 0.000 0.356 0.020
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 6 0.1492 0.6035 0.000 0.036 0.000 0.000 0.024 0.940
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 4 0.4261 0.5637 0.148 0.096 0.000 0.748 0.000 0.008
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.4700 0.2895 0.052 0.636 0.000 0.304 0.000 0.008
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.4625 0.2265 0.020 0.604 0.000 0.000 0.356 0.020
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.6552 0.3020 0.112 0.516 0.004 0.296 0.068 0.004
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.9994 0.000 0.000 1.000 0.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 4 0.5906 0.2422 0.112 0.328 0.000 0.532 0.024 0.004
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.4310 0.3461 0.044 0.684 0.000 0.268 0.000 0.004
#> 482285EC-BA43-441D-9986-7937B61A81D1 5 0.2070 0.7943 0.012 0.000 0.092 0.000 0.896 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.1536 0.6257 0.020 0.024 0.000 0.944 0.000 0.012
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 6 0.8601 0.4605 0.164 0.180 0.000 0.188 0.120 0.348
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.6029 0.2429 0.228 0.044 0.000 0.588 0.004 0.136
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.6018 0.5561 0.416 0.332 0.000 0.252 0.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 4 0.3114 0.5885 0.128 0.036 0.000 0.832 0.000 0.004
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.9994 0.000 0.000 1.000 0.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.4617 0.4074 0.060 0.284 0.000 0.652 0.000 0.004
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.3324 0.5491 0.124 0.004 0.000 0.828 0.008 0.036
#> AA838488-4A13-4998-B261-91590113F37D 4 0.4940 0.1356 0.068 0.400 0.000 0.532 0.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.5533 0.5041 0.208 0.664 0.000 0.060 0.020 0.048
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.7929 0.2113 0.128 0.364 0.000 0.288 0.184 0.036
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 4 0.2424 0.6268 0.036 0.028 0.000 0.900 0.000 0.036
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.2152 0.6272 0.036 0.040 0.000 0.912 0.000 0.012
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.5820 0.3647 0.128 0.276 0.000 0.572 0.016 0.008
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.6029 0.2429 0.228 0.044 0.000 0.588 0.004 0.136
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.4222 0.3964 0.088 0.728 0.000 0.184 0.000 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.3296 0.5356 0.036 0.824 0.000 0.132 0.004 0.004
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 4 0.4804 0.5357 0.124 0.148 0.000 0.712 0.008 0.008
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 4 0.6140 0.1586 0.116 0.380 0.000 0.472 0.024 0.008
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 4 0.5542 0.0388 0.064 0.448 0.000 0.460 0.000 0.028
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 5 0.4468 0.7968 0.008 0.076 0.000 0.000 0.712 0.204
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 4 0.5071 0.0914 0.080 0.400 0.000 0.520 0.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 5 0.4468 0.7968 0.008 0.076 0.000 0.000 0.712 0.204
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.3228 0.6004 0.092 0.044 0.000 0.844 0.000 0.020
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 4 0.4690 0.5295 0.112 0.156 0.000 0.716 0.000 0.016
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.5555 0.4729 0.208 0.656 0.000 0.028 0.020 0.088
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.5761 0.2667 0.224 0.016 0.000 0.608 0.012 0.140
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.1503 0.6203 0.032 0.016 0.000 0.944 0.000 0.008
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.2839 0.5503 0.044 0.860 0.000 0.092 0.004 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 5 0.4496 0.7938 0.008 0.076 0.000 0.000 0.708 0.208
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 4 0.5134 0.0179 0.088 0.388 0.000 0.524 0.000 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.3076 0.5939 0.004 0.856 0.000 0.056 0.076 0.008
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 4 0.2680 0.6023 0.108 0.032 0.000 0.860 0.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.4296 0.2188 0.008 0.608 0.000 0.004 0.372 0.008
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.4296 0.2188 0.008 0.608 0.000 0.004 0.372 0.008
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 5 0.3510 0.7983 0.024 0.024 0.088 0.000 0.840 0.024
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.1710 0.6184 0.028 0.020 0.000 0.936 0.000 0.016
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#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 4 0.7340 -0.0416 0.120 0.340 0.016 0.412 0.108 0.004
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#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 4 0.5993 0.1767 0.120 0.372 0.000 0.484 0.020 0.004
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.3096 0.5820 0.052 0.868 0.000 0.048 0.016 0.016
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.2100 0.6261 0.032 0.036 0.000 0.916 0.000 0.016
#> 08C4C14A-94A8-4063-BBC3-916579960078 6 0.6194 0.3913 0.236 0.020 0.000 0.244 0.000 0.500
#> B11753A0-829F-4913-B894-F07A53FF1C92 4 0.5599 0.4528 0.140 0.212 0.000 0.624 0.016 0.008
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.3734 0.4948 0.040 0.784 0.000 0.164 0.012 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.3949 0.5954 0.028 0.812 0.000 0.072 0.076 0.012
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.6334 0.2365 0.108 0.316 0.000 0.520 0.044 0.012
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.2956 0.6204 0.100 0.028 0.000 0.856 0.016 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.3324 0.5491 0.124 0.004 0.000 0.828 0.008 0.036
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.5456 0.4643 0.236 0.648 0.000 0.016 0.028 0.072
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#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 5 0.4468 0.7968 0.008 0.076 0.000 0.000 0.712 0.204
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 5 0.2070 0.7943 0.012 0.000 0.092 0.000 0.896 0.000
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#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.7606 0.2166 0.164 0.400 0.000 0.288 0.128 0.020
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 4 0.3385 0.5526 0.180 0.032 0.000 0.788 0.000 0.000
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#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 2 0.6857 0.2043 0.096 0.472 0.012 0.332 0.084 0.004
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.2058 0.6274 0.048 0.024 0.000 0.916 0.000 0.012
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 4 0.5669 0.3208 0.104 0.280 0.000 0.588 0.024 0.004
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.3240 0.5395 0.004 0.804 0.000 0.008 0.176 0.008
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.6018 0.5561 0.416 0.332 0.000 0.252 0.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.7845 0.2248 0.124 0.392 0.000 0.292 0.148 0.044
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 4 0.3385 0.5526 0.180 0.032 0.000 0.788 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.2905 0.5790 0.008 0.860 0.000 0.020 0.104 0.008
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.2826 0.6017 0.052 0.092 0.000 0.856 0.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.5937 0.3508 0.104 0.580 0.000 0.272 0.036 0.008
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 6 0.8158 0.4531 0.152 0.180 0.000 0.112 0.124 0.432
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.9994 0.000 0.000 1.000 0.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.2889 0.5371 0.044 0.848 0.000 0.108 0.000 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 5 0.4921 0.7551 0.012 0.128 0.000 0.000 0.684 0.176
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.6641 0.1546 0.248 0.084 0.000 0.524 0.004 0.140
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.4388 0.5374 0.560 0.012 0.000 0.420 0.004 0.004
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.5555 0.4729 0.208 0.656 0.000 0.028 0.020 0.088
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.2058 0.6118 0.056 0.008 0.000 0.916 0.004 0.016
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.1772 0.5894 0.008 0.936 0.000 0.020 0.028 0.008
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 4 0.3318 0.5593 0.172 0.032 0.000 0.796 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0146 0.9956 0.000 0.000 0.996 0.000 0.004 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.3820 0.4623 0.032 0.756 0.000 0.204 0.008 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.4661 0.3825 0.044 0.300 0.000 0.644 0.000 0.012
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.4296 0.2188 0.008 0.608 0.000 0.004 0.372 0.008
#> CC008807-7264-4593-966F-104992B35873 2 0.3892 0.5855 0.028 0.804 0.000 0.040 0.120 0.008
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 4 0.3352 0.5614 0.176 0.032 0.000 0.792 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 4 0.3318 0.5593 0.172 0.032 0.000 0.796 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.1448 0.6264 0.016 0.024 0.000 0.948 0.000 0.012
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.3946 0.5808 0.068 0.132 0.000 0.784 0.000 0.016
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.4885 0.4953 0.152 0.052 0.000 0.732 0.052 0.012
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.5102 0.4089 0.072 0.248 0.000 0.652 0.000 0.028
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.6018 0.5561 0.416 0.332 0.000 0.252 0.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 5 0.2647 0.7975 0.016 0.020 0.088 0.000 0.876 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.6029 0.2748 0.172 0.088 0.000 0.612 0.000 0.128
#> 67E92530-3B19-424C-B219-958A88909046 4 0.3324 0.5944 0.112 0.060 0.000 0.824 0.000 0.004
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.5198 0.0337 0.096 0.380 0.000 0.524 0.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.1599 0.6224 0.028 0.024 0.000 0.940 0.000 0.008
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.4892 0.3013 0.100 0.272 0.000 0.628 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["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 17604 rows and 183 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 0.826 0.891 0.940 0.433 0.536 0.536
#> 3 3 0.444 0.687 0.829 0.317 0.847 0.734
#> 4 4 0.492 0.514 0.730 0.201 0.744 0.498
#> 5 5 0.567 0.640 0.799 0.105 0.830 0.519
#> 6 6 0.599 0.552 0.729 0.050 0.928 0.715
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.865 0.000 1.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.0376 0.973 0.996 0.004
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.0376 0.973 0.996 0.004
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.2948 0.886 0.052 0.948
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.0000 0.976 1.000 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 1 0.0938 0.968 0.988 0.012
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.7950 0.774 0.240 0.760
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.0000 0.976 1.000 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.976 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.0000 0.976 1.000 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.976 1.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.0000 0.865 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.976 1.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.976 1.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.976 1.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.2948 0.886 0.052 0.948
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.8016 0.770 0.244 0.756
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 0.976 1.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.9775 0.489 0.412 0.588
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.2948 0.886 0.052 0.948
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.2948 0.886 0.052 0.948
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.0000 0.865 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.3584 0.912 0.932 0.068
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.1843 0.954 0.972 0.028
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.865 0.000 1.000
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#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.9896 0.442 0.440 0.560
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.0000 0.976 1.000 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.1843 0.954 0.972 0.028
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.976 1.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.0000 0.865 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 0.976 1.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0000 0.976 1.000 0.000
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#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.2948 0.886 0.052 0.948
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#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.1843 0.954 0.972 0.028
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#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.0376 0.973 0.996 0.004
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#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.4161 0.884 0.084 0.916
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#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.976 1.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.976 1.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.976 1.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.0000 0.976 1.000 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0672 0.970 0.992 0.008
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.0000 0.976 1.000 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.2043 0.950 0.968 0.032
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.865 0.000 1.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.0000 0.976 1.000 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.976 1.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.976 1.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.976 1.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0000 0.976 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 3 0.6280 0.6256 0.000 0.460 0.540
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.8763 0.3110 0.552 0.312 0.136
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.7875 0.5818 0.664 0.200 0.136
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.3340 0.5974 0.000 0.880 0.120
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.3644 0.8337 0.872 0.004 0.124
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.7610 0.5298 0.144 0.688 0.168
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.4563 0.6469 0.112 0.852 0.036
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.3412 0.8353 0.876 0.000 0.124
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.3412 0.8353 0.876 0.000 0.124
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.3482 0.8354 0.872 0.000 0.128
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0237 0.8489 0.996 0.000 0.004
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.4452 0.8651 0.000 0.192 0.808
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.2066 0.8406 0.940 0.000 0.060
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.2066 0.8406 0.940 0.000 0.060
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.2066 0.8406 0.940 0.000 0.060
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0592 0.6724 0.000 0.988 0.012
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.4636 0.6437 0.116 0.848 0.036
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.2625 0.8450 0.916 0.000 0.084
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.5598 0.6198 0.052 0.800 0.148
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.1643 0.6709 0.000 0.956 0.044
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.1753 0.6692 0.000 0.952 0.048
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.4452 0.8651 0.000 0.192 0.808
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.7584 0.6003 0.676 0.220 0.104
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.9280 0.0404 0.388 0.452 0.160
#> 482285EC-BA43-441D-9986-7937B61A81D1 3 0.6252 0.6527 0.000 0.444 0.556
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.2261 0.8479 0.932 0.000 0.068
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.6793 0.5886 0.160 0.740 0.100
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.3412 0.8353 0.876 0.000 0.124
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.7065 0.6065 0.700 0.228 0.072
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.1860 0.8421 0.948 0.000 0.052
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.4452 0.8651 0.000 0.192 0.808
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.3482 0.8408 0.872 0.000 0.128
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.2625 0.8459 0.916 0.000 0.084
#> AA838488-4A13-4998-B261-91590113F37D 1 0.6542 0.6710 0.736 0.204 0.060
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.9154 0.1560 0.384 0.468 0.148
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.4206 0.6526 0.088 0.872 0.040
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.1289 0.8486 0.968 0.000 0.032
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.3686 0.8402 0.860 0.000 0.140
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.3752 0.8442 0.856 0.000 0.144
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.3412 0.8353 0.876 0.000 0.124
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.7981 0.3540 0.584 0.340 0.076
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.8171 0.4891 0.184 0.644 0.172
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.2066 0.8406 0.940 0.000 0.060
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.7731 0.5834 0.664 0.228 0.108
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 1 0.8652 0.3981 0.576 0.284 0.140
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.3192 0.6063 0.000 0.888 0.112
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.7344 0.5849 0.684 0.232 0.084
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.3192 0.6063 0.000 0.888 0.112
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.3412 0.8353 0.876 0.000 0.124
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.2066 0.8406 0.940 0.000 0.060
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.7147 0.5142 0.228 0.696 0.076
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.3482 0.8345 0.872 0.000 0.128
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.2356 0.8474 0.928 0.000 0.072
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.1643 0.6709 0.000 0.956 0.044
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.3340 0.5974 0.000 0.880 0.120
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.7613 0.4384 0.620 0.316 0.064
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.2200 0.6711 0.004 0.940 0.056
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.1753 0.8427 0.952 0.000 0.048
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0237 0.6736 0.000 0.996 0.004
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0747 0.6740 0.000 0.984 0.016
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.6299 -0.4873 0.000 0.524 0.476
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.3340 0.8362 0.880 0.000 0.120
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.1643 0.6709 0.000 0.956 0.044
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.7975 0.6052 0.656 0.204 0.140
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0747 0.8469 0.984 0.000 0.016
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.2066 0.8406 0.940 0.000 0.060
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.7545 0.6320 0.692 0.172 0.136
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.7923 0.6305 0.664 0.180 0.156
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.4504 0.4782 0.000 0.804 0.196
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.3412 0.5966 0.000 0.876 0.124
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.1163 0.8463 0.972 0.000 0.028
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.8550 0.4503 0.216 0.608 0.176
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0237 0.8484 0.996 0.000 0.004
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.4452 0.8651 0.000 0.192 0.808
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.3192 0.8409 0.888 0.000 0.112
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.1964 0.8414 0.944 0.000 0.056
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0424 0.6763 0.000 0.992 0.008
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.3267 0.8379 0.884 0.000 0.116
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.1964 0.8414 0.944 0.000 0.056
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.3619 0.8428 0.864 0.000 0.136
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.1529 0.8438 0.960 0.000 0.040
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.2261 0.8479 0.932 0.000 0.068
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.4452 0.8651 0.000 0.192 0.808
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.8685 0.2781 0.548 0.328 0.124
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0747 0.6740 0.000 0.984 0.016
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.6271 0.7641 0.772 0.140 0.088
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 1 0.8746 0.5859 0.588 0.228 0.184
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.4092 0.6513 0.088 0.876 0.036
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.3340 0.8362 0.880 0.000 0.120
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.1643 0.6709 0.000 0.956 0.044
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.7746 0.4909 0.244 0.656 0.100
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.3192 0.6063 0.000 0.888 0.112
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.2448 0.8468 0.924 0.000 0.076
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.4636 0.6437 0.116 0.848 0.036
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.4636 0.6437 0.116 0.848 0.036
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.6460 0.7339 0.764 0.112 0.124
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.3412 0.8353 0.876 0.000 0.124
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 3 0.6244 0.6580 0.000 0.440 0.560
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.2066 0.8406 0.940 0.000 0.060
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.2448 0.8472 0.924 0.000 0.076
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.4452 0.8651 0.000 0.192 0.808
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.2066 0.8406 0.940 0.000 0.060
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.2066 0.8406 0.940 0.000 0.060
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.3551 0.6174 0.000 0.868 0.132
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.4174 0.6520 0.092 0.872 0.036
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.3412 0.8353 0.876 0.000 0.124
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.3973 0.6512 0.088 0.880 0.032
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.3340 0.8367 0.880 0.000 0.120
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.1163 0.6731 0.000 0.972 0.028
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.1964 0.8414 0.944 0.000 0.056
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.2066 0.8406 0.940 0.000 0.060
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0237 0.8490 0.996 0.000 0.004
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.1643 0.6709 0.000 0.956 0.044
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.1643 0.6709 0.000 0.956 0.044
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.3482 0.8489 0.872 0.000 0.128
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.2448 0.8468 0.924 0.000 0.076
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.1643 0.6709 0.000 0.956 0.044
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.2066 0.8406 0.940 0.000 0.060
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.1411 0.8457 0.964 0.000 0.036
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.7565 0.5547 0.660 0.256 0.084
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.6741 0.000 1.000 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.1643 0.8434 0.956 0.000 0.044
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.9197 0.2865 0.536 0.252 0.212
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.7337 0.5813 0.140 0.708 0.152
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.3340 0.8391 0.880 0.000 0.120
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.4702 0.5121 0.000 0.788 0.212
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.6775 0.6880 0.740 0.164 0.096
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.8153 0.4693 0.216 0.640 0.144
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.2448 0.8468 0.924 0.000 0.076
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.8464 0.4360 0.272 0.596 0.132
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.1964 0.8414 0.944 0.000 0.056
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.8307 0.4772 0.192 0.632 0.176
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.2599 0.6719 0.016 0.932 0.052
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.5780 0.7991 0.800 0.080 0.120
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.1031 0.8471 0.976 0.000 0.024
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.2625 0.8459 0.916 0.000 0.084
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.7739 0.5583 0.188 0.676 0.136
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.4291 0.8250 0.840 0.008 0.152
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.2356 0.8477 0.928 0.000 0.072
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.1163 0.6641 0.000 0.972 0.028
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 3 0.6280 0.6256 0.000 0.460 0.540
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.8101 0.4874 0.228 0.640 0.132
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.9299 -0.0411 0.432 0.408 0.160
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.2066 0.8406 0.940 0.000 0.060
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.2066 0.8406 0.940 0.000 0.060
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 2 0.8190 0.1179 0.432 0.496 0.072
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.3038 0.8485 0.896 0.000 0.104
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.6804 0.6615 0.724 0.204 0.072
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0000 0.6741 0.000 1.000 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.8125 0.3513 0.576 0.340 0.084
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.5874 0.6261 0.116 0.796 0.088
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.2066 0.8406 0.940 0.000 0.060
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.1643 0.6709 0.000 0.956 0.044
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.2537 0.8467 0.920 0.000 0.080
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.9029 0.3021 0.504 0.352 0.144
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.8367 0.4551 0.252 0.612 0.136
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.4452 0.8651 0.000 0.192 0.808
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.8295 0.3222 0.364 0.548 0.088
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.3850 0.6510 0.088 0.884 0.028
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.3412 0.8353 0.876 0.000 0.124
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.2066 0.8406 0.940 0.000 0.060
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.8776 0.4191 0.296 0.560 0.144
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.8487 1.000 0.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.3456 0.6663 0.036 0.904 0.060
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.1860 0.8421 0.948 0.000 0.052
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.4452 0.8612 0.000 0.192 0.808
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.8542 0.4502 0.220 0.608 0.172
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.3412 0.8373 0.876 0.000 0.124
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0424 0.6725 0.000 0.992 0.008
#> CC008807-7264-4593-966F-104992B35873 2 0.1643 0.6709 0.000 0.956 0.044
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.2066 0.8406 0.940 0.000 0.060
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.2066 0.8406 0.940 0.000 0.060
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.2711 0.8454 0.912 0.000 0.088
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.3412 0.8353 0.876 0.000 0.124
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.2625 0.8459 0.916 0.000 0.084
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.3752 0.8395 0.856 0.000 0.144
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.6981 0.6074 0.704 0.228 0.068
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.6280 -0.4414 0.000 0.540 0.460
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.7309 0.6516 0.708 0.168 0.124
#> 67E92530-3B19-424C-B219-958A88909046 1 0.1753 0.8427 0.952 0.000 0.048
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.4137 0.7912 0.872 0.096 0.032
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.3192 0.8389 0.888 0.000 0.112
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.4749 0.7704 0.844 0.116 0.040
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.4998 -0.15814 0.000 0.512 0.488 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.3626 0.60154 0.184 0.004 0.000 0.812
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.2530 0.70887 0.100 0.004 0.000 0.896
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.1389 0.61898 0.000 0.952 0.048 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.1940 0.72797 0.076 0.000 0.000 0.924
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 1 0.8633 -0.16472 0.408 0.268 0.036 0.288
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.1639 0.63273 0.008 0.952 0.004 0.036
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.2011 0.72846 0.080 0.000 0.000 0.920
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.0000 0.74054 0.000 0.000 0.000 1.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.2345 0.71089 0.100 0.000 0.000 0.900
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.4103 0.42075 0.256 0.000 0.000 0.744
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0336 0.87048 0.000 0.008 0.992 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.4855 0.42781 0.600 0.000 0.000 0.400
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.4855 0.42781 0.600 0.000 0.000 0.400
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.4888 0.42261 0.588 0.000 0.000 0.412
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.3852 0.66277 0.180 0.808 0.012 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.1639 0.63273 0.008 0.952 0.004 0.036
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 4 0.4981 -0.13804 0.464 0.000 0.000 0.536
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.7793 0.50240 0.404 0.460 0.044 0.092
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.5599 0.64738 0.316 0.644 0.040 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.5969 0.60444 0.392 0.564 0.044 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0524 0.87030 0.004 0.008 0.988 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.3365 0.49439 0.888 0.032 0.024 0.056
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.7823 -0.04987 0.408 0.132 0.024 0.436
#> 482285EC-BA43-441D-9986-7937B61A81D1 3 0.5000 0.10450 0.000 0.496 0.504 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.1302 0.73004 0.044 0.000 0.000 0.956
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.2402 0.61775 0.012 0.912 0.000 0.076
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.0188 0.74045 0.004 0.000 0.000 0.996
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.6120 0.46755 0.720 0.072 0.036 0.172
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.4907 0.41147 0.580 0.000 0.000 0.420
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0524 0.87030 0.004 0.008 0.988 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.4103 0.60617 0.256 0.000 0.000 0.744
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.1824 0.71737 0.060 0.000 0.004 0.936
#> AA838488-4A13-4998-B261-91590113F37D 1 0.3850 0.49881 0.840 0.044 0.000 0.116
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.6596 0.26683 0.668 0.132 0.016 0.184
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.1863 0.63100 0.012 0.944 0.004 0.040
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 4 0.4776 0.14889 0.376 0.000 0.000 0.624
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.2081 0.71916 0.084 0.000 0.000 0.916
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.4406 0.52434 0.300 0.000 0.000 0.700
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.1118 0.74001 0.036 0.000 0.000 0.964
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.5810 0.33758 0.756 0.120 0.044 0.080
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 1 0.8530 -0.16534 0.396 0.268 0.028 0.308
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.4817 0.39019 0.612 0.000 0.000 0.388
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.4319 0.42891 0.844 0.072 0.044 0.040
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 4 0.4175 0.59269 0.212 0.012 0.000 0.776
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.1624 0.62916 0.000 0.952 0.020 0.028
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.5342 0.43002 0.788 0.076 0.044 0.092
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.1211 0.62494 0.000 0.960 0.040 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.1637 0.73468 0.060 0.000 0.000 0.940
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.4855 0.41755 0.600 0.000 0.000 0.400
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.5853 0.50387 0.132 0.716 0.004 0.148
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.3737 0.62483 0.020 0.136 0.004 0.840
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.2011 0.70936 0.080 0.000 0.000 0.920
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.5884 0.62695 0.364 0.592 0.044 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.1389 0.61898 0.000 0.952 0.048 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.6812 0.40864 0.676 0.120 0.040 0.164
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.5897 0.62375 0.368 0.588 0.044 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.4992 0.29184 0.524 0.000 0.000 0.476
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.4567 0.66233 0.244 0.740 0.016 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.5297 0.65576 0.292 0.676 0.032 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.4998 -0.15814 0.000 0.512 0.488 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.0000 0.74054 0.000 0.000 0.000 1.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.5823 0.63590 0.348 0.608 0.044 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.5157 0.30886 0.676 0.004 0.016 0.304
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.4164 0.40095 0.264 0.000 0.000 0.736
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.4877 0.42473 0.592 0.000 0.000 0.408
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.2081 0.72300 0.084 0.000 0.000 0.916
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.5519 0.49238 0.316 0.028 0.004 0.652
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.1940 0.60310 0.000 0.924 0.076 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.1474 0.61926 0.000 0.948 0.052 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.4560 0.30266 0.296 0.000 0.004 0.700
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 1 0.8401 0.04699 0.452 0.160 0.048 0.340
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.4406 0.32667 0.300 0.000 0.000 0.700
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0336 0.87048 0.000 0.008 0.992 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.1211 0.74265 0.040 0.000 0.000 0.960
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.4916 0.40722 0.576 0.000 0.000 0.424
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.4422 0.65937 0.256 0.736 0.008 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.1637 0.73679 0.060 0.000 0.000 0.940
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.4916 0.41018 0.576 0.000 0.000 0.424
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.4103 0.55731 0.256 0.000 0.000 0.744
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.5143 0.34401 0.540 0.000 0.004 0.456
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.2081 0.70679 0.084 0.000 0.000 0.916
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0336 0.87048 0.000 0.008 0.992 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.5092 0.37971 0.728 0.016 0.016 0.240
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.5364 0.65183 0.320 0.652 0.028 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.4901 0.54316 0.188 0.044 0.004 0.764
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 1 0.7338 0.16959 0.536 0.076 0.036 0.352
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.1639 0.63273 0.008 0.952 0.004 0.036
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.0592 0.74221 0.016 0.000 0.000 0.984
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.5897 0.62539 0.368 0.588 0.044 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.3668 0.53402 0.004 0.808 0.000 0.188
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.1211 0.62494 0.000 0.960 0.040 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.2408 0.68185 0.104 0.000 0.000 0.896
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.1639 0.63273 0.008 0.952 0.004 0.036
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.1639 0.63273 0.008 0.952 0.004 0.036
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.2081 0.72300 0.084 0.000 0.000 0.916
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.0524 0.74002 0.008 0.000 0.004 0.988
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 3 0.4998 0.13114 0.000 0.488 0.512 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.4888 0.42261 0.588 0.000 0.000 0.412
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.2081 0.70089 0.084 0.000 0.000 0.916
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0524 0.87030 0.004 0.008 0.988 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.4888 0.42261 0.588 0.000 0.000 0.412
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.4804 0.39557 0.616 0.000 0.000 0.384
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.6079 0.65326 0.300 0.628 0.072 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.1639 0.63273 0.008 0.952 0.004 0.036
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.1940 0.72797 0.076 0.000 0.000 0.924
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.1639 0.63273 0.008 0.952 0.004 0.036
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.0188 0.74009 0.004 0.000 0.000 0.996
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.5619 0.64671 0.320 0.640 0.040 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.4907 0.41147 0.580 0.000 0.000 0.420
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.4888 0.42261 0.588 0.000 0.000 0.412
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.4072 0.42986 0.252 0.000 0.000 0.748
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.5947 0.61137 0.384 0.572 0.044 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.5823 0.63590 0.348 0.608 0.044 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 4 0.3942 0.52649 0.236 0.000 0.000 0.764
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.1940 0.71002 0.076 0.000 0.000 0.924
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.5839 0.63451 0.352 0.604 0.044 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.4898 0.41875 0.584 0.000 0.000 0.416
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.4996 -0.24757 0.484 0.000 0.000 0.516
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.3765 0.45471 0.812 0.004 0.004 0.180
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.4980 0.65900 0.304 0.680 0.016 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.4972 0.35716 0.544 0.000 0.000 0.456
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.6744 0.39245 0.688 0.064 0.168 0.080
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.7469 0.33883 0.196 0.524 0.004 0.276
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.3710 0.66759 0.192 0.000 0.004 0.804
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.7285 0.57229 0.308 0.516 0.176 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.2846 0.49379 0.908 0.028 0.012 0.052
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 1 0.7874 0.05651 0.576 0.196 0.048 0.180
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.2011 0.70936 0.080 0.000 0.000 0.920
#> 08C4C14A-94A8-4063-BBC3-916579960078 4 0.5085 0.31366 0.008 0.376 0.000 0.616
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.4817 0.39766 0.612 0.000 0.000 0.388
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 1 0.8550 -0.00575 0.436 0.184 0.048 0.332
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.5835 0.62374 0.372 0.588 0.040 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.3208 0.67472 0.148 0.004 0.000 0.848
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.4855 0.00917 0.400 0.000 0.000 0.600
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.1978 0.71202 0.068 0.000 0.004 0.928
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.6935 0.28327 0.636 0.188 0.016 0.160
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.2918 0.69625 0.116 0.000 0.008 0.876
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.2011 0.70476 0.080 0.000 0.000 0.920
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0188 0.64065 0.000 0.996 0.004 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.4998 -0.15814 0.000 0.512 0.488 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.4121 0.53407 0.020 0.796 0.000 0.184
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.5768 0.48100 0.300 0.044 0.004 0.652
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.4888 0.42261 0.588 0.000 0.000 0.412
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.4877 0.42473 0.592 0.000 0.000 0.408
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.4006 0.38335 0.848 0.096 0.044 0.012
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.3266 0.62745 0.168 0.000 0.000 0.832
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.5438 0.48615 0.732 0.048 0.012 0.208
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.5003 0.65821 0.308 0.676 0.016 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.6610 0.42268 0.696 0.108 0.044 0.152
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.3323 0.62517 0.064 0.876 0.000 0.060
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.4888 0.42261 0.588 0.000 0.000 0.412
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.5823 0.63590 0.348 0.608 0.044 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.1978 0.71202 0.068 0.000 0.004 0.928
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.3932 0.43171 0.832 0.008 0.020 0.140
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.2928 0.58563 0.012 0.880 0.000 0.108
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0336 0.87048 0.000 0.008 0.992 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.5461 0.24759 0.756 0.168 0.048 0.028
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.1892 0.63605 0.016 0.944 0.004 0.036
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.1716 0.73320 0.064 0.000 0.000 0.936
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.4855 0.42781 0.600 0.000 0.000 0.400
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.7442 0.26396 0.236 0.204 0.008 0.552
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.4103 0.42295 0.256 0.000 0.000 0.744
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.6240 0.61135 0.380 0.568 0.044 0.008
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.4941 0.38209 0.564 0.000 0.000 0.436
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0779 0.86369 0.004 0.016 0.980 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 1 0.8284 0.05543 0.408 0.144 0.044 0.404
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.2281 0.73133 0.096 0.000 0.000 0.904
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.4675 0.66203 0.244 0.736 0.020 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.5823 0.63590 0.348 0.608 0.044 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.4888 0.42261 0.588 0.000 0.000 0.412
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.4888 0.42261 0.588 0.000 0.000 0.412
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.0921 0.73612 0.028 0.000 0.000 0.972
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.2011 0.72623 0.080 0.000 0.000 0.920
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.2593 0.67569 0.104 0.000 0.004 0.892
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.3444 0.67292 0.184 0.000 0.000 0.816
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.5992 0.47171 0.732 0.072 0.036 0.160
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.4948 0.01935 0.000 0.560 0.440 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.2149 0.72395 0.088 0.000 0.000 0.912
#> 67E92530-3B19-424C-B219-958A88909046 1 0.4916 0.40722 0.576 0.000 0.000 0.424
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.6246 0.21324 0.488 0.044 0.004 0.464
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.0469 0.74141 0.012 0.000 0.000 0.988
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.5734 0.42387 0.676 0.044 0.008 0.272
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 5 0.5576 -0.1973 0.024 0.028 0.472 0.000 0.476
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.3487 0.7007 0.008 0.212 0.000 0.780 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.2625 0.7760 0.016 0.108 0.000 0.876 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.1743 0.7725 0.028 0.028 0.004 0.000 0.940
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.1410 0.7929 0.000 0.060 0.000 0.940 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.2354 0.6867 0.008 0.904 0.000 0.076 0.012
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.1569 0.7998 0.008 0.032 0.000 0.012 0.948
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.2233 0.7878 0.016 0.080 0.000 0.904 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.0880 0.7987 0.032 0.000 0.000 0.968 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.2625 0.7764 0.016 0.108 0.000 0.876 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.4016 0.5884 0.272 0.012 0.000 0.716 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0162 0.8175 0.000 0.004 0.996 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.2833 0.8400 0.884 0.020 0.004 0.084 0.008
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.2833 0.8400 0.884 0.020 0.004 0.084 0.008
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.1965 0.8512 0.904 0.000 0.000 0.096 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.4537 0.4647 0.012 0.592 0.000 0.000 0.396
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.1569 0.7998 0.008 0.032 0.000 0.012 0.948
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.3933 0.7484 0.780 0.020 0.004 0.192 0.004
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.3073 0.6985 0.008 0.872 0.000 0.052 0.068
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.4040 0.6483 0.012 0.712 0.000 0.000 0.276
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.4196 0.7037 0.040 0.780 0.000 0.012 0.168
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0162 0.8175 0.000 0.004 0.996 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.4820 0.3312 0.632 0.332 0.000 0.036 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.2997 0.6455 0.012 0.840 0.000 0.148 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 3 0.5575 0.1117 0.024 0.028 0.480 0.000 0.468
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.1671 0.7905 0.076 0.000 0.000 0.924 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.3257 0.7390 0.008 0.080 0.000 0.052 0.860
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.0703 0.7989 0.024 0.000 0.000 0.976 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.4989 0.2462 0.416 0.552 0.000 0.032 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.2074 0.8495 0.896 0.000 0.000 0.104 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0162 0.8175 0.000 0.004 0.996 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.6348 0.2631 0.324 0.180 0.000 0.496 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.2017 0.7844 0.080 0.008 0.000 0.912 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.3835 0.5388 0.744 0.244 0.000 0.012 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.4956 0.5704 0.212 0.712 0.004 0.068 0.004
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 5 0.1854 0.7966 0.008 0.036 0.000 0.020 0.936
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.4291 0.1620 0.536 0.000 0.000 0.464 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.3241 0.7317 0.144 0.024 0.000 0.832 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.5820 0.2822 0.376 0.100 0.000 0.524 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.0671 0.7986 0.004 0.016 0.000 0.980 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.3002 0.6735 0.116 0.856 0.000 0.028 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.2095 0.6897 0.008 0.920 0.000 0.060 0.012
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.3003 0.8112 0.864 0.044 0.000 0.092 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 2 0.4240 0.6404 0.228 0.736 0.000 0.036 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 4 0.4042 0.6863 0.032 0.212 0.000 0.756 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 5 0.0324 0.7975 0.000 0.004 0.000 0.004 0.992
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 2 0.4464 0.5072 0.288 0.684 0.000 0.028 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 5 0.0404 0.7981 0.000 0.012 0.000 0.000 0.988
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.1502 0.7946 0.004 0.056 0.000 0.940 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.2946 0.8252 0.868 0.044 0.000 0.088 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 5 0.7199 0.4466 0.176 0.152 0.004 0.096 0.572
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.1787 0.7857 0.016 0.012 0.000 0.940 0.032
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.2358 0.7753 0.104 0.008 0.000 0.888 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.2674 0.7010 0.004 0.856 0.000 0.000 0.140
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 5 0.0960 0.7925 0.016 0.008 0.004 0.000 0.972
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 2 0.4428 0.5217 0.268 0.700 0.000 0.032 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.3250 0.7046 0.004 0.820 0.000 0.008 0.168
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.2471 0.8326 0.864 0.000 0.000 0.136 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.4356 0.5667 0.012 0.648 0.000 0.000 0.340
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.4040 0.6461 0.012 0.712 0.000 0.000 0.276
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 3 0.5576 0.0974 0.024 0.028 0.476 0.000 0.472
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.0963 0.7986 0.036 0.000 0.000 0.964 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.3491 0.6803 0.004 0.768 0.000 0.000 0.228
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.5713 0.1405 0.416 0.500 0.000 0.084 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.3582 0.6438 0.224 0.008 0.000 0.768 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.1671 0.8456 0.924 0.000 0.000 0.076 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.2172 0.7855 0.016 0.076 0.000 0.908 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.6532 0.2530 0.352 0.140 0.004 0.496 0.008
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 5 0.1690 0.7732 0.024 0.024 0.008 0.000 0.944
#> 15532795-F8EC-4460-9972-82EC355E3B06 5 0.1869 0.7697 0.028 0.028 0.008 0.000 0.936
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.4025 0.5252 0.292 0.008 0.000 0.700 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.2144 0.6836 0.020 0.912 0.000 0.068 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.3934 0.5619 0.276 0.008 0.000 0.716 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0162 0.8175 0.000 0.004 0.996 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.1648 0.8014 0.040 0.020 0.000 0.940 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.2127 0.8482 0.892 0.000 0.000 0.108 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.6826 0.2114 0.168 0.464 0.004 0.012 0.352
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.1894 0.7935 0.008 0.072 0.000 0.920 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.2660 0.8374 0.864 0.008 0.000 0.128 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.5708 0.3085 0.348 0.096 0.000 0.556 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.3399 0.7863 0.812 0.020 0.000 0.168 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.2358 0.7753 0.104 0.008 0.000 0.888 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0162 0.8175 0.000 0.004 0.996 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.6042 0.0773 0.444 0.468 0.004 0.076 0.008
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.3336 0.6801 0.000 0.772 0.000 0.000 0.228
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.4959 0.5965 0.076 0.240 0.000 0.684 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.2761 0.6648 0.024 0.872 0.000 0.104 0.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 5 0.1095 0.8007 0.008 0.012 0.000 0.012 0.968
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.1012 0.7995 0.020 0.012 0.000 0.968 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.2674 0.7022 0.004 0.856 0.000 0.000 0.140
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 5 0.5122 0.5592 0.008 0.072 0.000 0.232 0.688
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 5 0.0290 0.7965 0.000 0.008 0.000 0.000 0.992
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.2358 0.7736 0.104 0.008 0.000 0.888 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 5 0.1569 0.7998 0.008 0.032 0.000 0.012 0.948
#> F7B2E263-F0AE-440E-96C5-139233079A06 5 0.1569 0.7998 0.008 0.032 0.000 0.012 0.948
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.2077 0.7841 0.008 0.084 0.000 0.908 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.1251 0.7981 0.036 0.008 0.000 0.956 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 3 0.5573 0.1320 0.024 0.028 0.488 0.000 0.460
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.1965 0.8512 0.904 0.000 0.000 0.096 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.2193 0.7787 0.092 0.008 0.000 0.900 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0162 0.8175 0.000 0.004 0.996 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.1792 0.8487 0.916 0.000 0.000 0.084 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.2889 0.8213 0.872 0.044 0.000 0.084 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.4865 0.6323 0.044 0.672 0.004 0.000 0.280
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.1393 0.7999 0.008 0.024 0.000 0.012 0.956
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.2017 0.7878 0.008 0.080 0.000 0.912 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 5 0.1095 0.8004 0.012 0.012 0.000 0.008 0.968
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.1168 0.7972 0.032 0.008 0.000 0.960 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.3491 0.6801 0.000 0.768 0.000 0.004 0.228
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.2020 0.8501 0.900 0.000 0.000 0.100 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.1965 0.8512 0.904 0.000 0.000 0.096 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.3642 0.6326 0.232 0.008 0.000 0.760 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.4218 0.7026 0.040 0.784 0.000 0.016 0.160
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.3430 0.6846 0.004 0.776 0.000 0.000 0.220
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.4617 0.2642 0.552 0.012 0.000 0.436 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.2304 0.7764 0.100 0.008 0.000 0.892 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.3353 0.6962 0.008 0.796 0.000 0.000 0.196
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.2230 0.8437 0.884 0.000 0.000 0.116 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.4127 0.5489 0.680 0.008 0.000 0.312 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.5406 -0.0709 0.480 0.464 0.000 0.056 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.3607 0.6689 0.004 0.752 0.000 0.000 0.244
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.3489 0.8125 0.820 0.036 0.000 0.144 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 2 0.7090 0.2311 0.404 0.428 0.132 0.020 0.016
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.6745 0.0858 0.036 0.448 0.000 0.108 0.408
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.5858 0.4987 0.260 0.116 0.004 0.616 0.004
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.6822 0.5666 0.048 0.604 0.140 0.012 0.196
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.5036 0.1376 0.560 0.404 0.000 0.036 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.2071 0.6858 0.028 0.928 0.004 0.036 0.004
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.2179 0.7794 0.100 0.004 0.000 0.896 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 5 0.5797 0.3736 0.008 0.080 0.000 0.352 0.560
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.2889 0.8163 0.872 0.044 0.000 0.084 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.2005 0.6878 0.016 0.924 0.000 0.056 0.004
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.3482 0.7035 0.012 0.812 0.000 0.008 0.168
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.3445 0.7478 0.036 0.140 0.000 0.824 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.4450 0.1035 0.508 0.004 0.000 0.488 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.2193 0.7787 0.092 0.008 0.000 0.900 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.6038 0.1143 0.432 0.484 0.004 0.068 0.012
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.3115 0.7633 0.036 0.112 0.000 0.852 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.2193 0.7787 0.092 0.008 0.000 0.900 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 5 0.0404 0.7981 0.000 0.012 0.000 0.000 0.988
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 5 0.5503 -0.1948 0.024 0.024 0.472 0.000 0.480
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 5 0.5201 0.5674 0.008 0.084 0.000 0.220 0.688
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.7267 0.1268 0.360 0.192 0.000 0.412 0.036
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.1965 0.8512 0.904 0.000 0.000 0.096 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.1671 0.8456 0.924 0.000 0.000 0.076 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 2 0.4390 0.6395 0.248 0.724 0.004 0.008 0.016
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.3774 0.5617 0.296 0.000 0.000 0.704 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.4083 0.5490 0.744 0.228 0.000 0.028 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.3579 0.6712 0.004 0.756 0.000 0.000 0.240
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.4558 0.4589 0.324 0.652 0.000 0.024 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 5 0.3719 0.7166 0.016 0.088 0.000 0.060 0.836
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.1908 0.8505 0.908 0.000 0.000 0.092 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.3305 0.6823 0.000 0.776 0.000 0.000 0.224
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.2249 0.7771 0.096 0.008 0.000 0.896 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.5230 0.1456 0.452 0.504 0.000 0.044 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.3392 0.7269 0.008 0.080 0.000 0.060 0.852
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0162 0.8175 0.000 0.004 0.996 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.2908 0.6826 0.108 0.868 0.000 0.016 0.008
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 5 0.1843 0.7934 0.008 0.052 0.000 0.008 0.932
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.0963 0.7968 0.000 0.036 0.000 0.964 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.2833 0.8400 0.884 0.020 0.004 0.084 0.008
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.7721 0.3849 0.148 0.252 0.004 0.488 0.108
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.3642 0.6358 0.232 0.008 0.000 0.760 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.2533 0.7097 0.008 0.888 0.000 0.008 0.096
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.2377 0.8367 0.872 0.000 0.000 0.128 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0162 0.8136 0.000 0.000 0.996 0.000 0.004
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.2612 0.6684 0.008 0.868 0.000 0.124 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.3532 0.7593 0.076 0.092 0.000 0.832 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.4467 0.5599 0.016 0.640 0.000 0.000 0.344
#> CC008807-7264-4593-966F-104992B35873 2 0.3461 0.6820 0.004 0.772 0.000 0.000 0.224
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.1965 0.8512 0.904 0.000 0.000 0.096 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.1965 0.8512 0.904 0.000 0.000 0.096 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.1410 0.7951 0.060 0.000 0.000 0.940 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.2416 0.7781 0.012 0.100 0.000 0.888 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.2411 0.7751 0.108 0.008 0.000 0.884 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.4581 0.6447 0.196 0.072 0.000 0.732 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 2 0.4833 0.2774 0.412 0.564 0.000 0.024 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 5 0.5573 -0.1551 0.024 0.028 0.460 0.000 0.488
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.2189 0.7868 0.012 0.084 0.000 0.904 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.2020 0.8501 0.900 0.000 0.000 0.100 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.6750 0.0792 0.292 0.300 0.000 0.408 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.1205 0.7997 0.040 0.004 0.000 0.956 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 2 0.6202 0.2289 0.356 0.496 0.000 0.148 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 3 0.6896 0.26581 0.004 0.052 0.380 0.000 0.360 0.204
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.5224 0.50345 0.012 0.072 0.000 0.620 0.008 0.288
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.4406 0.62737 0.016 0.020 0.000 0.692 0.008 0.264
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.4063 0.60967 0.004 0.052 0.000 0.000 0.736 0.208
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.2698 0.75366 0.000 0.008 0.004 0.860 0.008 0.120
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.3992 0.50418 0.004 0.752 0.000 0.044 0.004 0.196
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.0551 0.78222 0.000 0.008 0.000 0.004 0.984 0.004
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.3721 0.68861 0.012 0.016 0.000 0.752 0.000 0.220
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.1321 0.78521 0.024 0.000 0.004 0.952 0.000 0.020
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.4108 0.65555 0.012 0.032 0.000 0.724 0.000 0.232
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.4307 0.66182 0.164 0.012 0.000 0.744 0.000 0.080
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0291 0.72766 0.000 0.004 0.992 0.000 0.004 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.3292 0.68354 0.836 0.012 0.004 0.036 0.000 0.112
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.3292 0.68354 0.836 0.012 0.004 0.036 0.000 0.112
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.1204 0.75456 0.944 0.000 0.000 0.056 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.5471 0.43951 0.000 0.560 0.000 0.000 0.268 0.172
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.0551 0.78222 0.000 0.008 0.000 0.004 0.984 0.004
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.4209 0.64769 0.756 0.008 0.000 0.124 0.000 0.112
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.4423 0.51876 0.004 0.712 0.000 0.028 0.024 0.232
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.5408 0.44887 0.000 0.552 0.000 0.000 0.144 0.304
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.5412 0.17670 0.024 0.500 0.000 0.000 0.060 0.416
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0436 0.72731 0.000 0.004 0.988 0.000 0.004 0.004
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.6382 0.05029 0.488 0.160 0.000 0.044 0.000 0.308
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.2888 0.54285 0.000 0.852 0.000 0.092 0.000 0.056
#> 482285EC-BA43-441D-9986-7937B61A81D1 3 0.6893 0.28058 0.004 0.052 0.388 0.000 0.352 0.204
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.2340 0.78795 0.056 0.004 0.000 0.896 0.000 0.044
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.2615 0.71501 0.000 0.008 0.000 0.028 0.876 0.088
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.1672 0.78200 0.016 0.000 0.004 0.932 0.000 0.048
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.4411 0.37364 0.260 0.692 0.004 0.012 0.000 0.032
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.2162 0.75067 0.896 0.004 0.000 0.088 0.000 0.012
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0291 0.72766 0.000 0.004 0.992 0.000 0.004 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.7136 -0.16532 0.292 0.060 0.000 0.344 0.004 0.300
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.1801 0.78218 0.056 0.000 0.004 0.924 0.000 0.016
#> AA838488-4A13-4998-B261-91590113F37D 1 0.4489 0.45407 0.680 0.264 0.000 0.044 0.000 0.012
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 6 0.6555 0.28862 0.184 0.352 0.000 0.032 0.004 0.428
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 5 0.3589 0.67243 0.008 0.016 0.000 0.004 0.776 0.196
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.4640 0.18067 0.528 0.004 0.000 0.436 0.000 0.032
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.4601 0.66632 0.136 0.008 0.000 0.716 0.000 0.140
#> C6D88493-258C-481E-B3A4-75DA86C25C43 6 0.6613 0.16497 0.316 0.024 0.000 0.320 0.000 0.340
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.1728 0.77897 0.008 0.000 0.004 0.924 0.000 0.064
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.2190 0.58053 0.044 0.908 0.000 0.008 0.000 0.040
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.1909 0.58564 0.000 0.920 0.000 0.024 0.004 0.052
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.4675 0.56513 0.712 0.024 0.000 0.072 0.000 0.192
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 6 0.6574 0.18248 0.188 0.384 0.000 0.040 0.000 0.388
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 4 0.5650 0.51370 0.032 0.084 0.000 0.608 0.008 0.268
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 5 0.0632 0.77869 0.000 0.000 0.000 0.000 0.976 0.024
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 2 0.3776 0.48273 0.140 0.796 0.000 0.028 0.000 0.036
#> 081452CB-9401-4678-9BA2-431CB2ECF105 5 0.0777 0.78017 0.000 0.004 0.000 0.000 0.972 0.024
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.1814 0.77083 0.000 0.000 0.000 0.900 0.000 0.100
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.3649 0.67825 0.816 0.020 0.000 0.076 0.000 0.088
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 6 0.6674 0.03902 0.132 0.028 0.000 0.028 0.368 0.444
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.1624 0.76812 0.000 0.000 0.004 0.936 0.040 0.020
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.2237 0.77827 0.080 0.004 0.000 0.896 0.000 0.020
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.1226 0.61314 0.004 0.952 0.000 0.004 0.040 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 5 0.1556 0.76141 0.000 0.000 0.000 0.000 0.920 0.080
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 2 0.3890 0.48620 0.116 0.796 0.000 0.064 0.000 0.024
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.4056 0.57917 0.004 0.748 0.000 0.000 0.064 0.184
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.2755 0.72739 0.844 0.004 0.000 0.140 0.000 0.012
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.5579 0.45213 0.000 0.548 0.000 0.000 0.204 0.248
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.5180 0.52242 0.000 0.616 0.000 0.000 0.164 0.220
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 3 0.6921 0.26454 0.004 0.052 0.376 0.000 0.356 0.212
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.1708 0.78498 0.024 0.000 0.004 0.932 0.000 0.040
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.4668 0.56622 0.000 0.680 0.000 0.000 0.116 0.204
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.6921 -0.34792 0.380 0.256 0.000 0.044 0.004 0.316
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.3086 0.72798 0.156 0.004 0.000 0.820 0.000 0.020
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.1863 0.73267 0.920 0.000 0.000 0.036 0.000 0.044
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.3298 0.73556 0.008 0.012 0.004 0.824 0.008 0.144
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 6 0.6549 0.31508 0.260 0.024 0.000 0.236 0.008 0.472
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 5 0.4272 0.58391 0.004 0.052 0.000 0.000 0.704 0.240
#> 15532795-F8EC-4460-9972-82EC355E3B06 5 0.4407 0.55784 0.004 0.052 0.000 0.000 0.680 0.264
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.3154 0.69079 0.184 0.012 0.000 0.800 0.000 0.004
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.1909 0.58422 0.000 0.920 0.000 0.024 0.004 0.052
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.3192 0.65493 0.216 0.004 0.000 0.776 0.000 0.004
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0436 0.72731 0.000 0.004 0.988 0.000 0.004 0.004
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.3372 0.76698 0.036 0.016 0.000 0.824 0.000 0.124
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.2361 0.74583 0.880 0.004 0.000 0.104 0.000 0.012
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 6 0.6496 0.25417 0.088 0.204 0.000 0.004 0.144 0.560
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.2872 0.74385 0.004 0.012 0.000 0.832 0.000 0.152
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.3206 0.73220 0.836 0.008 0.000 0.108 0.000 0.048
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.6475 -0.00430 0.376 0.024 0.000 0.376 0.000 0.224
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.3697 0.69043 0.812 0.012 0.004 0.104 0.000 0.068
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.1956 0.77726 0.080 0.004 0.000 0.908 0.000 0.008
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0291 0.72766 0.000 0.004 0.992 0.000 0.004 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 6 0.6398 0.39824 0.324 0.200 0.000 0.020 0.004 0.452
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.4464 0.58550 0.000 0.712 0.000 0.000 0.140 0.148
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.4822 0.40207 0.048 0.304 0.000 0.632 0.000 0.016
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.3248 0.50118 0.000 0.828 0.000 0.052 0.004 0.116
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 5 0.0520 0.78164 0.000 0.008 0.000 0.000 0.984 0.008
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.2019 0.78043 0.012 0.000 0.000 0.900 0.000 0.088
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.1082 0.61392 0.000 0.956 0.000 0.004 0.040 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 5 0.4619 0.54251 0.000 0.008 0.000 0.192 0.704 0.096
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 5 0.1462 0.76802 0.000 0.008 0.000 0.000 0.936 0.056
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.1700 0.77635 0.080 0.004 0.000 0.916 0.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 5 0.0551 0.78222 0.000 0.008 0.000 0.004 0.984 0.004
#> F7B2E263-F0AE-440E-96C5-139233079A06 5 0.0551 0.78222 0.000 0.008 0.000 0.004 0.984 0.004
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.3359 0.71532 0.000 0.012 0.000 0.784 0.008 0.196
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.1401 0.78343 0.028 0.000 0.004 0.948 0.000 0.020
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 3 0.6868 0.29989 0.004 0.052 0.404 0.000 0.340 0.200
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.1745 0.75066 0.924 0.000 0.000 0.056 0.000 0.020
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.1788 0.77654 0.076 0.004 0.000 0.916 0.000 0.004
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0436 0.72731 0.000 0.004 0.988 0.000 0.004 0.004
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.1007 0.75132 0.956 0.000 0.000 0.044 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.4061 0.64299 0.784 0.024 0.000 0.080 0.000 0.112
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 6 0.5868 -0.18043 0.012 0.380 0.000 0.000 0.140 0.468
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.0551 0.78222 0.000 0.008 0.000 0.004 0.984 0.004
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.3296 0.72073 0.000 0.012 0.000 0.792 0.008 0.188
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 5 0.1168 0.78097 0.000 0.016 0.000 0.000 0.956 0.028
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.1138 0.78478 0.024 0.000 0.004 0.960 0.000 0.012
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.4459 0.58581 0.000 0.712 0.000 0.000 0.132 0.156
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.1625 0.75375 0.928 0.000 0.000 0.060 0.000 0.012
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.1204 0.75456 0.944 0.000 0.000 0.056 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.2809 0.71338 0.168 0.004 0.000 0.824 0.000 0.004
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 6 0.6082 -0.05332 0.060 0.416 0.000 0.004 0.064 0.456
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.4340 0.58719 0.000 0.720 0.000 0.000 0.104 0.176
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.4914 0.48680 0.640 0.008 0.000 0.272 0.000 0.080
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.1700 0.77635 0.080 0.004 0.000 0.916 0.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.4663 0.54536 0.004 0.672 0.000 0.000 0.080 0.244
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.2069 0.75190 0.908 0.004 0.000 0.068 0.000 0.020
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.5369 0.44881 0.584 0.008 0.000 0.292 0.000 0.116
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.6811 -0.30116 0.396 0.208 0.000 0.044 0.004 0.348
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.4892 0.55241 0.000 0.660 0.000 0.000 0.176 0.164
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.3934 0.71335 0.796 0.036 0.000 0.116 0.000 0.052
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 6 0.7907 0.17443 0.280 0.296 0.068 0.028 0.012 0.316
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 6 0.7240 0.34712 0.024 0.204 0.000 0.088 0.196 0.488
#> C7698440-CD13-438F-A60F-063D94C9ECAD 6 0.6025 -0.04517 0.164 0.012 0.000 0.396 0.000 0.428
#> 57787823-A815-4783-930C-A5752E48FFBA 6 0.6478 -0.04407 0.016 0.372 0.068 0.000 0.072 0.472
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.6608 -0.14385 0.416 0.188 0.000 0.044 0.000 0.352
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.3231 0.51143 0.012 0.800 0.000 0.008 0.000 0.180
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.2493 0.78266 0.076 0.004 0.000 0.884 0.000 0.036
#> 08C4C14A-94A8-4063-BBC3-916579960078 5 0.5397 0.39644 0.000 0.008 0.004 0.284 0.596 0.108
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.4732 0.54618 0.704 0.024 0.000 0.072 0.000 0.200
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.1549 0.58829 0.000 0.936 0.000 0.020 0.000 0.044
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.5373 0.42380 0.016 0.600 0.000 0.008 0.072 0.304
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.5267 0.27171 0.032 0.040 0.000 0.524 0.000 0.404
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.4442 0.08125 0.440 0.004 0.000 0.536 0.000 0.020
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.1982 0.77915 0.068 0.000 0.004 0.912 0.000 0.016
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 6 0.6497 0.40855 0.316 0.204 0.000 0.020 0.008 0.452
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.5038 0.26919 0.028 0.032 0.000 0.560 0.000 0.380
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.1700 0.77635 0.080 0.004 0.000 0.916 0.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 5 0.1082 0.77823 0.000 0.004 0.000 0.000 0.956 0.040
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 3 0.6896 0.26581 0.004 0.052 0.380 0.000 0.360 0.204
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 5 0.4747 0.53142 0.000 0.008 0.000 0.192 0.692 0.108
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 6 0.6772 0.42216 0.188 0.048 0.000 0.224 0.020 0.520
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.1745 0.75066 0.924 0.000 0.000 0.056 0.000 0.020
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0865 0.74793 0.964 0.000 0.000 0.036 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 2 0.6085 -0.04079 0.152 0.436 0.000 0.004 0.012 0.396
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.4248 0.62044 0.236 0.004 0.000 0.708 0.000 0.052
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.5740 0.44951 0.632 0.136 0.000 0.056 0.000 0.176
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.4831 0.55976 0.000 0.668 0.000 0.000 0.164 0.168
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.4085 0.43837 0.208 0.744 0.004 0.012 0.000 0.032
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 5 0.5099 0.47790 0.012 0.032 0.000 0.028 0.632 0.296
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.1265 0.75114 0.948 0.000 0.000 0.044 0.000 0.008
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.4425 0.58713 0.000 0.712 0.000 0.000 0.112 0.176
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.1788 0.77654 0.076 0.004 0.000 0.916 0.000 0.004
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 6 0.6747 0.39053 0.304 0.236 0.000 0.036 0.004 0.420
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.2432 0.72001 0.000 0.008 0.000 0.024 0.888 0.080
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0291 0.72766 0.000 0.004 0.992 0.000 0.004 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.1867 0.58950 0.036 0.924 0.000 0.004 0.000 0.036
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 5 0.3229 0.70129 0.000 0.044 0.000 0.000 0.816 0.140
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.2543 0.76187 0.004 0.000 0.004 0.868 0.008 0.116
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.3292 0.68354 0.836 0.012 0.004 0.036 0.000 0.112
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 6 0.7086 0.29323 0.112 0.052 0.000 0.276 0.060 0.500
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.2558 0.72520 0.156 0.004 0.000 0.840 0.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.1485 0.61322 0.000 0.944 0.000 0.004 0.024 0.028
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.1918 0.75273 0.904 0.000 0.000 0.088 0.000 0.008
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0291 0.72766 0.000 0.004 0.992 0.000 0.004 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.4164 0.47706 0.008 0.744 0.000 0.064 0.000 0.184
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.4754 0.60907 0.060 0.020 0.000 0.680 0.000 0.240
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.5697 0.41735 0.000 0.520 0.000 0.000 0.208 0.272
#> CC008807-7264-4593-966F-104992B35873 2 0.4601 0.57541 0.000 0.688 0.000 0.000 0.112 0.200
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.1204 0.75456 0.944 0.000 0.000 0.056 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.1204 0.75456 0.944 0.000 0.000 0.056 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.2007 0.78916 0.036 0.004 0.000 0.916 0.000 0.044
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.3485 0.70112 0.004 0.028 0.000 0.784 0.000 0.184
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.3070 0.75778 0.084 0.004 0.004 0.852 0.000 0.056
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.5496 0.52058 0.192 0.008 0.000 0.616 0.004 0.180
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 2 0.4411 0.37364 0.260 0.692 0.004 0.012 0.000 0.032
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 5 0.7014 -0.25854 0.004 0.052 0.328 0.000 0.364 0.252
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.3468 0.71693 0.000 0.012 0.004 0.784 0.008 0.192
#> 67E92530-3B19-424C-B219-958A88909046 1 0.2290 0.75143 0.892 0.004 0.000 0.084 0.000 0.020
#> 548F421F-046B-4209-9B20-1A6F32424738 2 0.5744 0.06984 0.128 0.504 0.000 0.356 0.000 0.012
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.1970 0.78780 0.028 0.000 0.000 0.912 0.000 0.060
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 2 0.6822 0.00359 0.224 0.436 0.000 0.280 0.000 0.060
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17604 rows and 183 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 0.706 0.861 0.941 0.4996 0.501 0.501
#> 3 3 0.535 0.616 0.818 0.2817 0.821 0.661
#> 4 4 0.560 0.594 0.770 0.1504 0.770 0.464
#> 5 5 0.779 0.772 0.882 0.0691 0.926 0.722
#> 6 6 0.743 0.732 0.821 0.0390 0.955 0.793
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.9277 0.000 1.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.9710 0.3951 0.400 0.600
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.9710 0.2693 0.600 0.400
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.9277 0.000 1.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.1414 0.9224 0.980 0.020
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0000 0.9277 0.000 1.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.5059 0.8442 0.112 0.888
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.0000 0.9380 1.000 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.9380 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.0672 0.9322 0.992 0.008
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.9380 1.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.0000 0.9277 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.9380 1.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.9380 1.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.9380 1.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0000 0.9277 0.000 1.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.6973 0.7728 0.188 0.812
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 0.9380 1.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.0000 0.9277 0.000 1.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0000 0.9277 0.000 1.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0000 0.9277 0.000 1.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.0000 0.9277 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.8267 0.6617 0.740 0.260
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.9754 0.2553 0.408 0.592
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.9277 0.000 1.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.9380 1.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.6973 0.7728 0.188 0.812
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.0000 0.9380 1.000 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.7299 0.7371 0.796 0.204
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.9380 1.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.0000 0.9277 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 0.9380 1.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0000 0.9380 1.000 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.4298 0.8637 0.912 0.088
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.7219 0.7605 0.200 0.800
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.0000 0.9277 0.000 1.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.9380 1.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0000 0.9380 1.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.0000 0.9380 1.000 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.0000 0.9380 1.000 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.9710 0.3810 0.600 0.400
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.0000 0.9277 0.000 1.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.9380 1.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 2 0.9833 0.2070 0.424 0.576
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 1 0.9850 0.1795 0.572 0.428
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.9277 0.000 1.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.8861 0.5895 0.696 0.304
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0000 0.9277 0.000 1.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.0000 0.9380 1.000 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.9380 1.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.7219 0.7590 0.200 0.800
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.0672 0.9321 0.992 0.008
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.9380 1.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.0000 0.9277 0.000 1.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.9277 0.000 1.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.8813 0.5970 0.700 0.300
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0000 0.9277 0.000 1.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.9380 1.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.9277 0.000 1.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.9277 0.000 1.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0000 0.9277 0.000 1.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0000 0.9380 1.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0000 0.9277 0.000 1.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.9732 0.3860 0.404 0.596
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.9380 1.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.9380 1.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.9608 0.3171 0.616 0.384
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 1.0000 0.0966 0.496 0.504
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0000 0.9277 0.000 1.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.9277 0.000 1.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.9380 1.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.0000 0.9277 0.000 1.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.9380 1.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.0000 0.9277 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.9380 1.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.9380 1.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0000 0.9277 0.000 1.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0000 0.9380 1.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.9380 1.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.0000 0.9380 1.000 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.9380 1.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.9380 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.0000 0.9277 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.8713 0.6239 0.292 0.708
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0000 0.9277 0.000 1.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0376 0.9353 0.996 0.004
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 1 0.9795 0.3558 0.584 0.416
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0000 0.9277 0.000 1.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0000 0.9380 1.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.0000 0.9277 0.000 1.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.7219 0.7590 0.200 0.800
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.9277 0.000 1.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.9380 1.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.6973 0.7728 0.188 0.812
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.6973 0.7728 0.188 0.812
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.6973 0.7327 0.812 0.188
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0000 0.9380 1.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.9277 0.000 1.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.9380 1.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.9380 1.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 2 0.0000 0.9277 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.9380 1.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.9380 1.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0000 0.9277 0.000 1.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.1184 0.9176 0.016 0.984
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.0000 0.9380 1.000 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.9277 0.000 1.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0000 0.9380 1.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.9277 0.000 1.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.9380 1.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.9380 1.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.9380 1.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.0000 0.9277 0.000 1.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0000 0.9277 0.000 1.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0000 0.9380 1.000 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.9380 1.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0000 0.9277 0.000 1.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.9380 1.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0000 0.9380 1.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.7602 0.6805 0.780 0.220
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.9277 0.000 1.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.9380 1.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 2 0.9710 0.2792 0.400 0.600
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.0000 0.9277 0.000 1.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.0000 0.9380 1.000 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.0000 0.9277 0.000 1.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.7219 0.7416 0.800 0.200
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.0000 0.9277 0.000 1.000
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.9380 1.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.7299 0.7541 0.204 0.796
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.9380 1.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0000 0.9277 0.000 1.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.0000 0.9277 0.000 1.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.7219 0.7416 0.800 0.200
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.9380 1.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0000 0.9380 1.000 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.6973 0.7728 0.188 0.812
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.8909 0.5953 0.692 0.308
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.9380 1.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0000 0.9277 0.000 1.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.9277 0.000 1.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.7219 0.7590 0.200 0.800
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.0672 0.9226 0.008 0.992
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.9380 1.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.9380 1.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 2 0.0938 0.9194 0.012 0.988
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.9380 1.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.7219 0.7416 0.800 0.200
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0000 0.9277 0.000 1.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.9710 0.3810 0.600 0.400
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.0000 0.9277 0.000 1.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.9380 1.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0000 0.9277 0.000 1.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.9380 1.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.3274 0.8826 0.060 0.940
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.7219 0.7590 0.200 0.800
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.0000 0.9277 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.0000 0.9277 0.000 1.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0000 0.9277 0.000 1.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.0000 0.9380 1.000 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.9380 1.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.7219 0.7590 0.200 0.800
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.9380 1.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0000 0.9277 0.000 1.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.9380 1.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.0000 0.9277 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.0000 0.9277 0.000 1.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.0000 0.9380 1.000 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.9277 0.000 1.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0000 0.9277 0.000 1.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.9380 1.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.9380 1.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.9380 1.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.0000 0.9380 1.000 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.4939 0.8442 0.892 0.108
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.0000 0.9380 1.000 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.7299 0.7371 0.796 0.204
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.9277 0.000 1.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.7219 0.7147 0.800 0.200
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.9380 1.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.9380 1.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.9380 1.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0376 0.9353 0.996 0.004
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.1289 0.6648 0.000 0.968 0.032
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.8020 0.2438 0.604 0.308 0.088
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.5541 0.5318 0.740 0.252 0.008
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.6725 0.000 1.000 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.1453 0.8273 0.968 0.024 0.008
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.6305 0.1395 0.000 0.516 0.484
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.1163 0.6714 0.000 0.972 0.028
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#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 3 0.5216 0.5073 0.260 0.000 0.740
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.3876 0.597965 0.124 0.836 0.040 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.5754 0.516963 0.004 0.184 0.096 0.716
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.1389 0.805587 0.000 0.048 0.000 0.952
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.2973 0.620543 0.000 0.856 0.144 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.0707 0.820804 0.000 0.020 0.000 0.980
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 3 0.4608 0.530670 0.004 0.304 0.692 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.4955 0.579381 0.000 0.772 0.144 0.084
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.0336 0.829637 0.008 0.000 0.000 0.992
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.0188 0.830006 0.004 0.000 0.000 0.996
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.0524 0.828355 0.008 0.000 0.004 0.988
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.5126 0.069850 0.444 0.004 0.000 0.552
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.7016 0.331434 0.140 0.540 0.320 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.4933 0.078259 0.000 0.568 0.432 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.5771 0.535785 0.000 0.712 0.144 0.144
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.3528 0.806563 0.808 0.000 0.000 0.192
#> 851B9B77-547A-43CC-B939-428E0A26C67C 3 0.4655 0.526922 0.004 0.312 0.684 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 3 0.5163 0.154805 0.004 0.480 0.516 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.6630 0.325024 0.136 0.612 0.252 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.7016 0.331434 0.140 0.540 0.320 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.4127 0.571215 0.824 0.124 0.052 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 3 0.3300 0.538242 0.008 0.000 0.848 0.144
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.3196 0.587003 0.136 0.856 0.008 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.1389 0.822992 0.048 0.000 0.000 0.952
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.6690 0.433916 0.000 0.608 0.144 0.248
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.0000 0.829314 0.000 0.000 0.000 1.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.3649 0.523612 0.204 0.000 0.796 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.7016 0.331434 0.140 0.540 0.320 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.4335 0.742736 0.752 0.004 0.004 0.240
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.0707 0.829975 0.020 0.000 0.000 0.980
#> AA838488-4A13-4998-B261-91590113F37D 1 0.5343 0.463341 0.656 0.000 0.316 0.028
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 3 0.6585 0.485107 0.180 0.188 0.632 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.1637 0.628215 0.000 0.940 0.060 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.4855 0.445844 0.600 0.000 0.000 0.400
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.2408 0.770330 0.104 0.000 0.000 0.896
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.4961 -0.000809 0.448 0.000 0.000 0.552
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.0000 0.829314 0.000 0.000 0.000 1.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.3123 0.549270 0.156 0.000 0.844 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 3 0.4428 0.540727 0.004 0.276 0.720 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.6646 0.278015 0.624 0.172 0.204 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 4 0.8347 -0.235049 0.016 0.284 0.328 0.372
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.2973 0.620543 0.000 0.856 0.144 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 3 0.3649 0.523612 0.204 0.000 0.796 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.2973 0.620543 0.000 0.856 0.144 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.0000 0.829314 0.000 0.000 0.000 1.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.6952 0.442475 0.176 0.652 0.144 0.028
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.2921 0.710832 0.000 0.140 0.000 0.860
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.1474 0.821996 0.052 0.000 0.000 0.948
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.0188 0.587666 0.004 0.000 0.996 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.2973 0.620543 0.000 0.856 0.144 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 3 0.3610 0.528352 0.200 0.000 0.800 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 3 0.4677 0.524483 0.004 0.316 0.680 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 3 0.5028 0.376782 0.004 0.400 0.596 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 3 0.4761 0.510254 0.004 0.332 0.664 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.3196 0.587003 0.136 0.856 0.008 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.0188 0.830006 0.004 0.000 0.000 0.996
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 3 0.4761 0.510254 0.004 0.332 0.664 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.6169 0.380400 0.632 0.068 0.296 0.004
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.3074 0.737951 0.152 0.000 0.000 0.848
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.1004 0.816872 0.004 0.024 0.000 0.972
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.8571 0.073479 0.368 0.332 0.028 0.272
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.2996 0.624869 0.044 0.892 0.064 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.2973 0.620543 0.000 0.856 0.144 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.4522 0.455549 0.320 0.000 0.000 0.680
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 3 0.0188 0.587666 0.004 0.000 0.996 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.4866 0.214369 0.404 0.000 0.000 0.596
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.7016 0.331434 0.140 0.540 0.320 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.1474 0.822037 0.052 0.000 0.000 0.948
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.3157 0.619010 0.004 0.852 0.144 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.0188 0.830006 0.004 0.000 0.000 0.996
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.4713 0.546219 0.640 0.000 0.000 0.360
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.3356 0.819477 0.824 0.000 0.000 0.176
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.1716 0.816079 0.064 0.000 0.000 0.936
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.7016 0.331434 0.140 0.540 0.320 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.6194 0.481197 0.668 0.132 0.200 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 3 0.4720 0.519126 0.004 0.324 0.672 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.7083 0.316970 0.144 0.000 0.328 0.528
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 3 0.3793 0.547680 0.112 0.000 0.844 0.044
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.3157 0.619472 0.000 0.852 0.144 0.004
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.0188 0.830006 0.004 0.000 0.000 0.996
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 3 0.0188 0.587666 0.004 0.000 0.996 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.6740 0.425232 0.000 0.600 0.144 0.256
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.2973 0.620543 0.000 0.856 0.144 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.2149 0.799384 0.088 0.000 0.000 0.912
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.5771 0.535785 0.000 0.712 0.144 0.144
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.5724 0.539279 0.000 0.716 0.144 0.140
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.0817 0.818551 0.000 0.024 0.000 0.976
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.0188 0.830006 0.004 0.000 0.000 0.996
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.3196 0.587003 0.136 0.856 0.008 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.1792 0.813487 0.068 0.000 0.000 0.932
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 2 0.7016 0.331434 0.140 0.540 0.320 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.3377 0.582827 0.140 0.848 0.012 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.5628 0.545704 0.000 0.724 0.144 0.132
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.0921 0.815897 0.000 0.028 0.000 0.972
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.3157 0.619472 0.000 0.852 0.144 0.004
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.0336 0.830184 0.008 0.000 0.000 0.992
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 3 0.4741 0.515238 0.004 0.328 0.668 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.4605 0.409452 0.336 0.000 0.000 0.664
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.6524 0.448653 0.120 0.616 0.264 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 3 0.4741 0.515238 0.004 0.328 0.668 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 4 0.4985 -0.033214 0.468 0.000 0.000 0.532
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.1792 0.813487 0.068 0.000 0.000 0.932
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 3 0.4761 0.510254 0.004 0.332 0.664 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.1697 0.746607 0.952 0.016 0.004 0.028
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.4332 0.692670 0.816 0.112 0.072 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 3 0.4819 0.493511 0.004 0.344 0.652 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 2 0.7506 0.257812 0.208 0.484 0.308 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.0592 0.623938 0.000 0.984 0.016 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.4304 0.499812 0.284 0.000 0.000 0.716
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.4706 0.545890 0.140 0.788 0.072 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.4004 0.616240 0.812 0.000 0.164 0.024
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 3 0.0000 0.588617 0.000 0.000 1.000 0.000
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.1474 0.821635 0.052 0.000 0.000 0.948
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.7101 0.329235 0.000 0.504 0.136 0.360
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 3 0.0000 0.588617 0.000 0.000 1.000 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 3 0.4837 0.492732 0.004 0.348 0.648 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.6455 0.555904 0.112 0.156 0.032 0.700
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.4331 0.672602 0.712 0.000 0.000 0.288
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.1022 0.827890 0.032 0.000 0.000 0.968
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.7751 -0.137174 0.416 0.344 0.240 0.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.7358 0.088731 0.140 0.388 0.004 0.468
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.1716 0.815927 0.064 0.000 0.000 0.936
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.2973 0.620543 0.000 0.856 0.144 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.3196 0.587003 0.136 0.856 0.008 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.6740 0.425232 0.000 0.600 0.144 0.256
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.3052 0.589117 0.136 0.860 0.000 0.004
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 3 0.7589 -0.155893 0.196 0.396 0.408 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.4040 0.601525 0.248 0.000 0.000 0.752
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.4781 0.557643 0.752 0.000 0.212 0.036
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 3 0.4855 0.486266 0.004 0.352 0.644 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.3569 0.531445 0.196 0.000 0.804 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.3157 0.619472 0.000 0.852 0.144 0.004
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 3 0.4699 0.522227 0.004 0.320 0.676 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.1716 0.815927 0.064 0.000 0.000 0.936
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.4281 0.539985 0.792 0.180 0.028 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.6740 0.425232 0.000 0.600 0.144 0.256
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.7016 0.331434 0.140 0.540 0.320 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.2469 0.567014 0.108 0.000 0.892 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.2973 0.620543 0.000 0.856 0.144 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.0000 0.829314 0.000 0.000 0.000 1.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.7759 0.462623 0.096 0.620 0.144 0.140
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.2647 0.771661 0.120 0.000 0.000 0.880
#> EB818546-2380-480F-AA7A-529857F5912C 3 0.0657 0.589704 0.004 0.012 0.984 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.7016 0.331434 0.140 0.540 0.320 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 3 0.4279 0.511495 0.004 0.204 0.780 0.012
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.1211 0.819962 0.040 0.000 0.000 0.960
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.5088 0.142246 0.004 0.572 0.424 0.000
#> CC008807-7264-4593-966F-104992B35873 3 0.4720 0.519126 0.004 0.324 0.672 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.1118 0.826558 0.036 0.000 0.000 0.964
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.0336 0.830661 0.008 0.000 0.000 0.992
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.6393 0.572295 0.188 0.160 0.000 0.652
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.3688 0.633711 0.208 0.000 0.000 0.792
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.3649 0.523612 0.204 0.000 0.796 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.3196 0.587003 0.136 0.856 0.008 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.0817 0.818551 0.000 0.024 0.000 0.976
#> 67E92530-3B19-424C-B219-958A88909046 1 0.2973 0.848260 0.856 0.000 0.000 0.144
#> 548F421F-046B-4209-9B20-1A6F32424738 3 0.7744 0.041929 0.292 0.000 0.440 0.268
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.0336 0.830184 0.008 0.000 0.000 0.992
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 3 0.5928 -0.003600 0.456 0.000 0.508 0.036
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 3 0.4151 0.457 0.000 0.004 0.652 0.000 0.344
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.4910 0.629 0.000 0.084 0.016 0.740 0.160
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.0671 0.873 0.000 0.000 0.004 0.980 0.016
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.0290 0.904 0.000 0.000 0.008 0.000 0.992
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.0324 0.877 0.000 0.000 0.004 0.992 0.004
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.2470 0.756 0.000 0.884 0.012 0.000 0.104
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.0000 0.907 0.000 0.000 0.000 0.000 1.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.0324 0.878 0.004 0.000 0.004 0.992 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.0162 0.878 0.000 0.004 0.000 0.996 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.0162 0.877 0.000 0.000 0.004 0.996 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.4830 0.347 0.420 0.004 0.016 0.560 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0671 0.888 0.000 0.016 0.980 0.000 0.004
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 5 0.4403 -0.111 0.000 0.436 0.004 0.000 0.560
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.0000 0.907 0.000 0.000 0.000 0.000 1.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.1341 0.858 0.944 0.000 0.000 0.056 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.3967 0.713 0.000 0.724 0.012 0.000 0.264
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.4520 0.687 0.000 0.684 0.032 0.000 0.284
#> B56D29F2-ADF4-43B9-9013-071466244B4A 3 0.1764 0.861 0.000 0.064 0.928 0.000 0.008
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0671 0.888 0.000 0.016 0.980 0.000 0.004
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.3906 0.542 0.704 0.004 0.292 0.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.1216 0.751 0.000 0.960 0.020 0.020 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 3 0.1831 0.868 0.000 0.004 0.920 0.000 0.076
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.1270 0.877 0.052 0.000 0.000 0.948 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.0162 0.905 0.000 0.000 0.004 0.000 0.996
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.0162 0.877 0.000 0.000 0.004 0.996 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.3655 0.647 0.160 0.804 0.036 0.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0671 0.888 0.000 0.016 0.980 0.000 0.004
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.2108 0.862 0.928 0.004 0.008 0.036 0.024
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.1591 0.875 0.052 0.004 0.004 0.940 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.3109 0.684 0.800 0.200 0.000 0.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.5230 0.692 0.092 0.700 0.012 0.000 0.196
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 5 0.0794 0.892 0.000 0.000 0.028 0.000 0.972
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.2516 0.773 0.860 0.000 0.000 0.140 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.3123 0.747 0.184 0.000 0.004 0.812 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.4088 0.405 0.632 0.000 0.000 0.368 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.0162 0.877 0.000 0.000 0.004 0.996 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.1124 0.750 0.004 0.960 0.036 0.000 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.0404 0.760 0.000 0.988 0.000 0.000 0.012
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 3 0.4890 0.445 0.332 0.040 0.628 0.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 5 0.7540 0.193 0.044 0.228 0.004 0.280 0.444
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 5 0.0162 0.906 0.000 0.000 0.004 0.000 0.996
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 2 0.3400 0.669 0.136 0.828 0.036 0.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 5 0.0162 0.906 0.000 0.000 0.004 0.000 0.996
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.0162 0.877 0.000 0.000 0.004 0.996 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 5 0.0162 0.905 0.000 0.000 0.004 0.000 0.996
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.2197 0.853 0.012 0.004 0.004 0.916 0.064
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.2052 0.867 0.080 0.004 0.004 0.912 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.1041 0.753 0.000 0.964 0.032 0.000 0.004
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 5 0.0404 0.902 0.000 0.000 0.012 0.000 0.988
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 2 0.3115 0.687 0.112 0.852 0.036 0.000 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.4132 0.713 0.000 0.720 0.020 0.000 0.260
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.4173 0.679 0.000 0.688 0.012 0.000 0.300
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.4063 0.700 0.000 0.708 0.012 0.000 0.280
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 3 0.1341 0.877 0.000 0.000 0.944 0.000 0.056
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.0162 0.877 0.000 0.000 0.004 0.996 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.4206 0.705 0.000 0.708 0.020 0.000 0.272
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.4928 0.606 0.724 0.192 0.012 0.000 0.072
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.3006 0.811 0.156 0.004 0.004 0.836 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.0324 0.877 0.000 0.000 0.004 0.992 0.004
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 5 0.5415 0.533 0.256 0.000 0.004 0.092 0.648
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 5 0.4171 0.283 0.000 0.000 0.396 0.000 0.604
#> 15532795-F8EC-4460-9972-82EC355E3B06 5 0.2583 0.787 0.000 0.004 0.132 0.000 0.864
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.4535 0.622 0.288 0.024 0.004 0.684 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.1041 0.753 0.000 0.964 0.032 0.000 0.004
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.4470 0.424 0.396 0.004 0.004 0.596 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0671 0.888 0.000 0.016 0.980 0.000 0.004
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.1341 0.877 0.056 0.000 0.000 0.944 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 5 0.0451 0.902 0.000 0.004 0.008 0.000 0.988
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.0162 0.877 0.000 0.000 0.004 0.996 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.2773 0.759 0.836 0.000 0.000 0.164 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0794 0.879 0.972 0.000 0.000 0.028 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.1732 0.870 0.080 0.000 0.000 0.920 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0671 0.888 0.000 0.016 0.980 0.000 0.004
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.4481 0.660 0.760 0.176 0.012 0.000 0.052
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.3861 0.714 0.000 0.728 0.008 0.000 0.264
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.6020 0.360 0.108 0.364 0.004 0.524 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.1386 0.747 0.000 0.952 0.032 0.016 0.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 5 0.0000 0.907 0.000 0.000 0.000 0.000 1.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.0162 0.877 0.000 0.000 0.004 0.996 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.1041 0.753 0.000 0.964 0.032 0.000 0.004
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 5 0.0451 0.901 0.000 0.000 0.004 0.008 0.988
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 5 0.0162 0.906 0.000 0.000 0.004 0.000 0.996
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.2339 0.857 0.100 0.004 0.004 0.892 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 5 0.0000 0.907 0.000 0.000 0.000 0.000 1.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 5 0.0000 0.907 0.000 0.000 0.000 0.000 1.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.0324 0.877 0.000 0.000 0.004 0.992 0.004
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.0324 0.877 0.000 0.004 0.004 0.992 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 3 0.1430 0.878 0.000 0.004 0.944 0.000 0.052
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.2052 0.867 0.080 0.004 0.004 0.912 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0671 0.888 0.000 0.016 0.980 0.000 0.004
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 3 0.2139 0.861 0.000 0.032 0.916 0.000 0.052
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.0000 0.907 0.000 0.000 0.000 0.000 1.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.0324 0.877 0.000 0.000 0.004 0.992 0.004
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 5 0.0000 0.907 0.000 0.000 0.000 0.000 1.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.0324 0.877 0.000 0.004 0.004 0.992 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.3992 0.710 0.000 0.720 0.012 0.000 0.268
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.4362 0.505 0.360 0.004 0.004 0.632 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 3 0.6262 0.219 0.000 0.164 0.504 0.000 0.332
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.4132 0.713 0.000 0.720 0.020 0.000 0.260
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.4060 0.402 0.640 0.000 0.000 0.360 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.2112 0.866 0.084 0.004 0.004 0.908 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.4315 0.699 0.000 0.700 0.024 0.000 0.276
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.4837 0.209 0.556 0.004 0.424 0.016 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.1314 0.873 0.960 0.016 0.012 0.000 0.012
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.4088 0.676 0.000 0.688 0.008 0.000 0.304
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.0609 0.885 0.000 0.020 0.980 0.000 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 5 0.1121 0.881 0.000 0.000 0.044 0.000 0.956
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.4735 0.432 0.352 0.000 0.004 0.624 0.020
#> 57787823-A815-4783-930C-A5752E48FFBA 3 0.1251 0.875 0.000 0.036 0.956 0.000 0.008
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.3639 0.740 0.812 0.044 0.144 0.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.0566 0.757 0.000 0.984 0.012 0.000 0.004
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.1671 0.871 0.076 0.000 0.000 0.924 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 5 0.3579 0.642 0.000 0.000 0.004 0.240 0.756
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0566 0.757 0.000 0.984 0.012 0.000 0.004
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.4538 0.584 0.000 0.620 0.016 0.000 0.364
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.3336 0.661 0.000 0.000 0.228 0.772 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.3554 0.662 0.776 0.004 0.004 0.216 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.1591 0.875 0.052 0.004 0.004 0.940 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.6783 0.103 0.480 0.204 0.012 0.000 0.304
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 3 0.1197 0.865 0.000 0.000 0.952 0.048 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.2112 0.866 0.084 0.004 0.004 0.908 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 5 0.0162 0.906 0.000 0.000 0.004 0.000 0.996
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 3 0.2020 0.852 0.000 0.000 0.900 0.000 0.100
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 5 0.0162 0.905 0.000 0.000 0.004 0.000 0.996
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 3 0.3053 0.782 0.000 0.000 0.828 0.008 0.164
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 3 0.0290 0.886 0.000 0.008 0.992 0.000 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.3684 0.657 0.280 0.000 0.000 0.720 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.3821 0.723 0.800 0.148 0.052 0.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.4108 0.671 0.000 0.684 0.008 0.000 0.308
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.2850 0.703 0.092 0.872 0.036 0.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 5 0.0000 0.907 0.000 0.000 0.000 0.000 1.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.3861 0.714 0.000 0.728 0.008 0.000 0.264
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.2052 0.867 0.080 0.004 0.004 0.912 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 3 0.4661 0.486 0.312 0.032 0.656 0.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.0162 0.905 0.000 0.000 0.004 0.000 0.996
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0671 0.888 0.000 0.016 0.980 0.000 0.004
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.1124 0.750 0.004 0.960 0.036 0.000 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 5 0.0000 0.907 0.000 0.000 0.000 0.000 1.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.0162 0.877 0.000 0.000 0.004 0.996 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 5 0.0771 0.888 0.000 0.000 0.004 0.020 0.976
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.2833 0.826 0.140 0.004 0.004 0.852 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0324 0.758 0.000 0.992 0.004 0.000 0.004
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0671 0.888 0.000 0.016 0.980 0.000 0.004
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.3231 0.655 0.000 0.800 0.196 0.004 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.1892 0.852 0.080 0.000 0.004 0.916 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.4425 0.676 0.000 0.680 0.024 0.000 0.296
#> CC008807-7264-4593-966F-104992B35873 2 0.3992 0.711 0.000 0.720 0.012 0.000 0.268
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.0963 0.879 0.036 0.000 0.000 0.964 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.0613 0.878 0.008 0.004 0.004 0.984 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.5163 0.649 0.088 0.004 0.224 0.684 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.3430 0.699 0.220 0.000 0.004 0.776 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 2 0.3695 0.643 0.164 0.800 0.036 0.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 3 0.1768 0.870 0.000 0.004 0.924 0.000 0.072
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.0451 0.876 0.000 0.000 0.004 0.988 0.008
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.896 1.000 0.000 0.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 2 0.6351 0.212 0.176 0.532 0.004 0.288 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.0290 0.879 0.008 0.000 0.000 0.992 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 2 0.5383 0.214 0.408 0.540 0.004 0.048 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 3 0.4219 0.4991 0.000 0.032 0.648 0.000 0.320 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.4450 0.5369 0.000 0.352 0.000 0.616 0.020 0.012
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.2742 0.7863 0.000 0.128 0.000 0.852 0.012 0.008
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.1257 0.8518 0.000 0.028 0.020 0.000 0.952 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.2070 0.7967 0.000 0.100 0.000 0.892 0.000 0.008
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.4587 0.4402 0.000 0.508 0.000 0.000 0.036 0.456
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.0000 0.8611 0.000 0.000 0.000 0.000 1.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.2726 0.7853 0.008 0.136 0.000 0.848 0.000 0.008
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.1789 0.8171 0.000 0.032 0.000 0.924 0.000 0.044
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.1285 0.8131 0.000 0.052 0.000 0.944 0.000 0.004
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.6314 0.3990 0.348 0.068 0.012 0.504 0.000 0.068
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.9019 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0260 0.8897 0.992 0.008 0.000 0.000 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0260 0.8897 0.992 0.008 0.000 0.000 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.8898 1.000 0.000 0.000 0.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 5 0.5784 -0.0555 0.000 0.260 0.000 0.000 0.504 0.236
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.0000 0.8611 0.000 0.000 0.000 0.000 1.000 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.2629 0.8219 0.872 0.060 0.000 0.068 0.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.5380 0.5969 0.000 0.500 0.000 0.000 0.116 0.384
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.5540 0.6813 0.000 0.568 0.008 0.000 0.140 0.284
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.4091 -0.0707 0.000 0.520 0.472 0.000 0.000 0.008
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.9019 0.000 0.000 1.000 0.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.4340 0.6533 0.712 0.088 0.200 0.000 0.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 6 0.1003 0.7868 0.000 0.016 0.000 0.020 0.000 0.964
#> 482285EC-BA43-441D-9986-7937B61A81D1 3 0.2030 0.8734 0.000 0.028 0.908 0.000 0.064 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.2476 0.8171 0.096 0.012 0.000 0.880 0.000 0.012
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.0260 0.8591 0.000 0.008 0.000 0.000 0.992 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.1007 0.8159 0.000 0.044 0.000 0.956 0.000 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 6 0.2000 0.7936 0.032 0.004 0.048 0.000 0.000 0.916
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0405 0.8892 0.988 0.008 0.000 0.004 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.9019 0.000 0.000 1.000 0.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.2563 0.8505 0.880 0.084 0.000 0.028 0.008 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.3133 0.8060 0.040 0.032 0.000 0.856 0.000 0.072
#> AA838488-4A13-4998-B261-91590113F37D 1 0.3539 0.6639 0.756 0.024 0.000 0.000 0.000 0.220
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.4093 0.4925 0.080 0.784 0.000 0.000 0.028 0.108
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 5 0.1865 0.8370 0.000 0.040 0.040 0.000 0.920 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.2455 0.8133 0.872 0.012 0.000 0.112 0.004 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.4253 0.6802 0.196 0.072 0.000 0.728 0.000 0.004
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.5952 0.3441 0.500 0.200 0.000 0.292 0.000 0.008
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.1524 0.8087 0.000 0.060 0.000 0.932 0.000 0.008
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 6 0.2001 0.8020 0.000 0.040 0.048 0.000 0.000 0.912
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 6 0.1700 0.7764 0.000 0.080 0.000 0.000 0.004 0.916
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.1556 0.8663 0.920 0.080 0.000 0.000 0.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 2 0.5808 0.1376 0.220 0.492 0.288 0.000 0.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 5 0.8191 0.1140 0.056 0.200 0.000 0.296 0.324 0.124
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 5 0.0632 0.8584 0.000 0.024 0.000 0.000 0.976 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 6 0.2318 0.7992 0.028 0.020 0.048 0.000 0.000 0.904
#> 081452CB-9401-4678-9BA2-431CB2ECF105 5 0.0632 0.8584 0.000 0.024 0.000 0.000 0.976 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.1616 0.8196 0.000 0.048 0.000 0.932 0.000 0.020
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0790 0.8835 0.968 0.032 0.000 0.000 0.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 5 0.2491 0.7690 0.000 0.164 0.000 0.000 0.836 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.4377 0.7621 0.004 0.048 0.000 0.776 0.100 0.072
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.3467 0.8044 0.076 0.024 0.000 0.832 0.000 0.068
#> EFA708D5-586A-4184-B614-48AEFC5E8631 6 0.2726 0.7498 0.000 0.112 0.032 0.000 0.000 0.856
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 5 0.1176 0.8530 0.000 0.024 0.020 0.000 0.956 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 6 0.1484 0.7949 0.008 0.004 0.040 0.004 0.000 0.944
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.5487 0.6494 0.000 0.508 0.000 0.000 0.136 0.356
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.1151 0.8762 0.956 0.012 0.000 0.032 0.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.5549 0.6769 0.000 0.536 0.000 0.000 0.168 0.296
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.5569 0.6806 0.000 0.520 0.000 0.000 0.160 0.320
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 3 0.1285 0.8886 0.000 0.004 0.944 0.000 0.052 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.0603 0.8179 0.000 0.016 0.000 0.980 0.000 0.004
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.5458 0.6824 0.000 0.536 0.000 0.000 0.144 0.320
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.4126 0.2615 0.360 0.624 0.000 0.000 0.008 0.008
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.4254 0.7845 0.112 0.044 0.000 0.776 0.000 0.068
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.1387 0.8691 0.932 0.068 0.000 0.000 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.2556 0.7925 0.000 0.120 0.000 0.864 0.008 0.008
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 5 0.6975 0.3741 0.144 0.296 0.000 0.100 0.456 0.004
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 5 0.4300 0.3565 0.000 0.028 0.364 0.000 0.608 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 5 0.4890 0.5397 0.000 0.204 0.140 0.000 0.656 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.5672 0.6425 0.176 0.036 0.000 0.624 0.000 0.164
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 6 0.1856 0.7978 0.000 0.048 0.032 0.000 0.000 0.920
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.5405 0.5919 0.280 0.040 0.000 0.612 0.000 0.068
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.9019 0.000 0.000 1.000 0.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.2930 0.7999 0.124 0.036 0.000 0.840 0.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0405 0.8892 0.988 0.008 0.000 0.004 0.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 5 0.3547 0.6155 0.000 0.332 0.000 0.000 0.668 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.1010 0.8169 0.000 0.036 0.000 0.960 0.000 0.004
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0405 0.8892 0.988 0.008 0.000 0.004 0.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.3377 0.7635 0.808 0.056 0.000 0.136 0.000 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.2265 0.8472 0.904 0.012 0.000 0.056 0.000 0.028
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.2866 0.8149 0.092 0.020 0.000 0.864 0.000 0.024
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.9019 0.000 0.000 1.000 0.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.3721 0.3489 0.308 0.684 0.000 0.000 0.004 0.004
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.5519 0.6756 0.000 0.520 0.000 0.000 0.148 0.332
#> 4CA559EF-D8B9-400B-972C-693257124C3D 6 0.5424 0.3177 0.072 0.032 0.000 0.304 0.000 0.592
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 6 0.2291 0.7761 0.000 0.040 0.012 0.044 0.000 0.904
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 5 0.0000 0.8611 0.000 0.000 0.000 0.000 1.000 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.1007 0.8150 0.000 0.044 0.000 0.956 0.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 6 0.2221 0.7858 0.000 0.072 0.032 0.000 0.000 0.896
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 5 0.0622 0.8554 0.000 0.008 0.000 0.012 0.980 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 5 0.0547 0.8595 0.000 0.020 0.000 0.000 0.980 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.3726 0.7961 0.080 0.032 0.000 0.816 0.000 0.072
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 5 0.0000 0.8611 0.000 0.000 0.000 0.000 1.000 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 5 0.0000 0.8611 0.000 0.000 0.000 0.000 1.000 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.2612 0.7904 0.000 0.108 0.000 0.868 0.008 0.016
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.2705 0.8072 0.004 0.052 0.000 0.872 0.000 0.072
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 3 0.1500 0.8865 0.000 0.012 0.936 0.000 0.052 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.8898 1.000 0.000 0.000 0.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.3636 0.7986 0.068 0.036 0.000 0.824 0.000 0.072
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.9019 0.000 0.000 1.000 0.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0632 0.8861 0.976 0.024 0.000 0.000 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.1141 0.8785 0.948 0.052 0.000 0.000 0.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 3 0.4587 0.4725 0.000 0.316 0.632 0.000 0.048 0.004
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.0000 0.8611 0.000 0.000 0.000 0.000 1.000 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.2826 0.7877 0.000 0.112 0.000 0.856 0.024 0.008
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 5 0.0146 0.8611 0.000 0.004 0.000 0.000 0.996 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.2237 0.8093 0.000 0.036 0.000 0.896 0.000 0.068
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.5574 0.6752 0.000 0.512 0.000 0.000 0.156 0.332
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0405 0.8892 0.988 0.008 0.000 0.004 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.8898 1.000 0.000 0.000 0.000 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.5121 0.6547 0.236 0.036 0.000 0.660 0.000 0.068
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.5544 0.4091 0.000 0.596 0.252 0.000 0.136 0.016
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.5440 0.6803 0.000 0.536 0.000 0.000 0.140 0.324
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.5020 0.4308 0.616 0.080 0.000 0.296 0.000 0.008
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.3618 0.7986 0.076 0.032 0.000 0.824 0.000 0.068
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.5328 0.6790 0.000 0.560 0.000 0.000 0.132 0.308
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0146 0.8899 0.996 0.004 0.000 0.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.5886 0.1403 0.480 0.040 0.420 0.036 0.000 0.024
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.3337 0.6950 0.736 0.260 0.000 0.000 0.004 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.5584 0.6806 0.000 0.520 0.000 0.000 0.164 0.316
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0551 0.8900 0.984 0.008 0.000 0.004 0.000 0.004
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.0000 0.9019 0.000 0.000 1.000 0.000 0.000 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 5 0.2039 0.8315 0.000 0.076 0.020 0.000 0.904 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.6303 0.4073 0.224 0.252 0.000 0.500 0.020 0.004
#> 57787823-A815-4783-930C-A5752E48FFBA 3 0.1701 0.8671 0.000 0.072 0.920 0.000 0.000 0.008
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.4529 0.7485 0.748 0.144 0.056 0.000 0.000 0.052
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 6 0.3052 0.6987 0.000 0.216 0.004 0.000 0.000 0.780
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.2617 0.8161 0.100 0.012 0.000 0.872 0.000 0.016
#> 08C4C14A-94A8-4063-BBC3-916579960078 5 0.3245 0.6881 0.000 0.028 0.000 0.172 0.800 0.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.1863 0.8565 0.896 0.104 0.000 0.000 0.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 6 0.1701 0.7852 0.000 0.072 0.008 0.000 0.000 0.920
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.5509 0.6822 0.000 0.544 0.000 0.000 0.164 0.292
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.5239 0.6086 0.000 0.196 0.148 0.644 0.000 0.012
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.4851 0.5543 0.680 0.040 0.000 0.236 0.000 0.044
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.3266 0.8040 0.048 0.032 0.000 0.848 0.000 0.072
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.4291 0.4028 0.240 0.708 0.000 0.000 0.040 0.012
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 3 0.2515 0.8592 0.000 0.072 0.888 0.016 0.000 0.024
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.3636 0.7986 0.068 0.036 0.000 0.824 0.000 0.072
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 5 0.0632 0.8584 0.000 0.024 0.000 0.000 0.976 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 3 0.3027 0.7987 0.000 0.028 0.824 0.000 0.148 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 5 0.0363 0.8578 0.000 0.012 0.000 0.000 0.988 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 3 0.5292 0.6776 0.000 0.132 0.664 0.020 0.180 0.004
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.8898 1.000 0.000 0.000 0.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0713 0.8852 0.972 0.028 0.000 0.000 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 3 0.1444 0.8716 0.000 0.072 0.928 0.000 0.000 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.4101 0.5852 0.308 0.028 0.000 0.664 0.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.4211 0.7398 0.772 0.076 0.028 0.000 0.000 0.124
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.5612 0.6792 0.000 0.520 0.000 0.000 0.172 0.308
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 6 0.1760 0.8022 0.020 0.004 0.048 0.000 0.000 0.928
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 5 0.0547 0.8595 0.000 0.020 0.000 0.000 0.980 0.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0363 0.8881 0.988 0.012 0.000 0.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.5529 0.6720 0.000 0.516 0.000 0.000 0.148 0.336
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.3564 0.7995 0.068 0.032 0.000 0.828 0.000 0.072
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.6061 0.0517 0.308 0.408 0.284 0.000 0.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.0260 0.8591 0.000 0.008 0.000 0.000 0.992 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.9019 0.000 0.000 1.000 0.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 6 0.2070 0.8009 0.000 0.044 0.048 0.000 0.000 0.908
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 5 0.1442 0.8532 0.000 0.040 0.012 0.000 0.944 0.004
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.2070 0.7967 0.000 0.100 0.000 0.892 0.000 0.008
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0260 0.8897 0.992 0.008 0.000 0.000 0.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 5 0.3454 0.7105 0.004 0.224 0.000 0.012 0.760 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.4335 0.7633 0.140 0.032 0.000 0.760 0.000 0.068
#> EB818546-2380-480F-AA7A-529857F5912C 6 0.3101 0.5034 0.000 0.244 0.000 0.000 0.000 0.756
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0508 0.8884 0.984 0.012 0.000 0.004 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.9019 0.000 0.000 1.000 0.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 6 0.4354 0.4526 0.000 0.240 0.068 0.000 0.000 0.692
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.3799 0.7535 0.104 0.104 0.000 0.788 0.000 0.004
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.5655 0.6786 0.000 0.536 0.004 0.000 0.164 0.296
#> CC008807-7264-4593-966F-104992B35873 2 0.5480 0.6786 0.000 0.528 0.000 0.000 0.144 0.328
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.8898 1.000 0.000 0.000 0.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.8898 1.000 0.000 0.000 0.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.2043 0.8225 0.064 0.012 0.000 0.912 0.000 0.012
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.2860 0.8123 0.012 0.052 0.000 0.868 0.000 0.068
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.6640 0.5544 0.068 0.052 0.240 0.568 0.000 0.072
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.5125 0.6022 0.220 0.128 0.000 0.644 0.000 0.008
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 6 0.2144 0.7878 0.040 0.004 0.048 0.000 0.000 0.908
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 3 0.1895 0.8750 0.000 0.016 0.912 0.000 0.072 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.2566 0.7910 0.000 0.112 0.000 0.868 0.012 0.008
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0363 0.8891 0.988 0.012 0.000 0.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 6 0.3393 0.6304 0.024 0.028 0.000 0.124 0.000 0.824
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.0935 0.8183 0.004 0.032 0.000 0.964 0.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 6 0.5604 0.4243 0.212 0.040 0.000 0.120 0.000 0.628
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 17604 rows and 183 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 0.322 0.534 0.768 0.4555 0.569 0.569
#> 3 3 0.336 0.364 0.654 0.3858 0.740 0.568
#> 4 4 0.439 0.466 0.732 0.0781 0.763 0.494
#> 5 5 0.541 0.359 0.663 0.1057 0.733 0.350
#> 6 6 0.591 0.416 0.690 0.0438 0.895 0.616
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.8909 0.78298 0.308 0.692
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.7528 0.40355 0.784 0.216
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.4690 0.55038 0.900 0.100
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.8909 0.78298 0.308 0.692
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.1633 0.61069 0.976 0.024
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 1 0.8763 0.22612 0.704 0.296
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 1 0.8909 0.17934 0.692 0.308
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.1414 0.61465 0.980 0.020
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0672 0.62194 0.992 0.008
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.1184 0.61612 0.984 0.016
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.9000 0.63753 0.684 0.316
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.0000 0.48593 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.8909 0.63870 0.692 0.308
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.8909 0.63870 0.692 0.308
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.8909 0.63870 0.692 0.308
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.8909 0.78298 0.308 0.692
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 1 0.7528 0.40183 0.784 0.216
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0672 0.62194 0.992 0.008
#> 851B9B77-547A-43CC-B939-428E0A26C67C 1 0.9795 -0.19364 0.584 0.416
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.8909 0.78298 0.308 0.692
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.8909 0.78298 0.308 0.692
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.3114 0.43014 0.056 0.944
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.9850 0.58556 0.572 0.428
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.9427 0.01624 0.640 0.360
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.8909 0.78298 0.308 0.692
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.9087 0.63625 0.676 0.324
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 1 0.7883 0.36697 0.764 0.236
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.0672 0.62194 0.992 0.008
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.9996 -0.50213 0.488 0.512
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.8909 0.63870 0.692 0.308
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.0672 0.49382 0.008 0.992
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.3431 0.58678 0.936 0.064
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.8909 0.63870 0.692 0.308
#> AA838488-4A13-4998-B261-91590113F37D 1 0.9998 0.52366 0.508 0.492
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.8207 0.32697 0.744 0.256
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 1 0.8861 0.19904 0.696 0.304
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.8909 0.63870 0.692 0.308
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0000 0.62035 1.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.1414 0.61482 0.980 0.020
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.0376 0.61932 0.996 0.004
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.9286 0.07446 0.656 0.344
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 1 0.9460 0.00167 0.636 0.364
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.8327 0.64207 0.736 0.264
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 2 0.9686 -0.35129 0.396 0.604
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 1 0.4690 0.55111 0.900 0.100
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.8909 0.78298 0.308 0.692
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 2 0.9754 -0.37030 0.408 0.592
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.8909 0.78298 0.308 0.692
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.1184 0.61612 0.984 0.016
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.5178 0.54438 0.884 0.116
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 1 0.4022 0.57595 0.920 0.080
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.5059 0.54707 0.888 0.112
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.8661 0.64141 0.712 0.288
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.8909 0.78298 0.308 0.692
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.8909 0.78298 0.308 0.692
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.9000 0.16284 0.684 0.316
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.9170 0.75871 0.332 0.668
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.8909 0.63870 0.692 0.308
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.8909 0.78298 0.308 0.692
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.8909 0.78298 0.308 0.692
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.8861 0.78033 0.304 0.696
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0376 0.62181 0.996 0.004
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.8909 0.78298 0.308 0.692
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.5629 0.52795 0.868 0.132
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.8909 0.63870 0.692 0.308
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.9044 0.63720 0.680 0.320
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.2236 0.60925 0.964 0.036
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.4298 0.57126 0.912 0.088
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.8909 0.78298 0.308 0.692
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.8909 0.78298 0.308 0.692
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.8955 0.63719 0.688 0.312
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 1 0.9170 0.11777 0.668 0.332
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.6438 0.63924 0.836 0.164
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.6048 0.30278 0.148 0.852
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0376 0.61971 0.996 0.004
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.8909 0.63870 0.692 0.308
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.9580 0.69241 0.380 0.620
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.1414 0.61855 0.980 0.020
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.8909 0.63870 0.692 0.308
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.0938 0.61773 0.988 0.012
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.8909 0.63870 0.692 0.308
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.8909 0.63870 0.692 0.308
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.0000 0.48593 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.4690 0.56071 0.900 0.100
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.8909 0.78298 0.308 0.692
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.9944 0.54891 0.544 0.456
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 1 0.8909 0.18650 0.692 0.308
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.9209 0.75639 0.336 0.664
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0000 0.62035 1.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.8909 0.78298 0.308 0.692
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 1 0.7528 0.40284 0.784 0.216
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.8909 0.78298 0.308 0.692
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.8909 0.63870 0.692 0.308
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 1 0.7602 0.39563 0.780 0.220
#> F7B2E263-F0AE-440E-96C5-139233079A06 1 0.8608 0.25634 0.716 0.284
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.7453 0.40362 0.788 0.212
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.8909 0.63870 0.692 0.308
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.8909 0.78298 0.308 0.692
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.8909 0.63870 0.692 0.308
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.8909 0.63870 0.692 0.308
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 2 0.7674 0.15352 0.224 0.776
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.9460 0.62178 0.636 0.364
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.9661 0.60790 0.608 0.392
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.8909 0.78298 0.308 0.692
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.9963 0.55162 0.464 0.536
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.1184 0.61612 0.984 0.016
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.9170 0.76059 0.332 0.668
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.8909 0.63870 0.692 0.308
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.8909 0.78298 0.308 0.692
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.8909 0.63870 0.692 0.308
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.8909 0.63870 0.692 0.308
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.8813 0.64018 0.700 0.300
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.9460 0.71822 0.364 0.636
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.8909 0.78298 0.308 0.692
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.8909 0.63870 0.692 0.308
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.3431 0.63197 0.936 0.064
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.8909 0.78298 0.308 0.692
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.8955 0.63804 0.688 0.312
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.9129 0.63526 0.672 0.328
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.5294 0.54020 0.880 0.120
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.8909 0.78298 0.308 0.692
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.9000 0.63810 0.684 0.316
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 2 0.8608 -0.08217 0.284 0.716
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.8909 0.18886 0.692 0.308
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.3584 0.59631 0.932 0.068
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.7528 0.70489 0.216 0.784
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 2 1.0000 -0.51711 0.500 0.500
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 1 0.9491 -0.01654 0.632 0.368
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.2603 0.62934 0.956 0.044
#> 08C4C14A-94A8-4063-BBC3-916579960078 1 0.5294 0.52920 0.880 0.120
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.9209 0.63346 0.664 0.336
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 1 0.9732 -0.15513 0.596 0.404
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 1 0.9460 0.00167 0.636 0.364
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.7602 0.40911 0.780 0.220
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.8909 0.63870 0.692 0.308
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.8909 0.63870 0.692 0.308
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.7376 0.41933 0.792 0.208
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.2236 0.61159 0.964 0.036
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.8909 0.63870 0.692 0.308
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.8909 0.78298 0.308 0.692
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.8909 0.78298 0.308 0.692
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 1 0.6438 0.48479 0.836 0.164
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.7950 0.37152 0.760 0.240
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.8909 0.63870 0.692 0.308
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.9460 0.62167 0.636 0.364
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 2 0.4690 0.39048 0.100 0.900
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.62035 1.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.9815 0.58907 0.580 0.420
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.8909 0.78298 0.308 0.692
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.8955 -0.17415 0.312 0.688
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 1 0.8016 0.34960 0.756 0.244
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.8909 0.63870 0.692 0.308
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.8909 0.78298 0.308 0.692
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.8909 0.63870 0.692 0.308
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.7674 0.40225 0.776 0.224
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 1 0.6712 0.46664 0.824 0.176
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.2948 0.43465 0.052 0.948
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.9983 -0.38927 0.524 0.476
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.9209 0.75646 0.336 0.664
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.0938 0.61933 0.988 0.012
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.8909 0.63870 0.692 0.308
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 1 0.5294 0.54020 0.880 0.120
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.8909 0.63870 0.692 0.308
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.8909 0.78298 0.308 0.692
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.8909 0.63870 0.692 0.308
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.0672 0.49382 0.008 0.992
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 1 0.9460 0.00167 0.636 0.364
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.1414 0.61499 0.980 0.020
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.8909 0.78298 0.308 0.692
#> CC008807-7264-4593-966F-104992B35873 2 0.8909 0.78298 0.308 0.692
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.8909 0.63870 0.692 0.308
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.8909 0.63870 0.692 0.308
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.8909 0.63870 0.692 0.308
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.4298 0.57109 0.912 0.088
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.8909 0.63870 0.692 0.308
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.0000 0.62035 1.000 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 2 0.9833 -0.41347 0.424 0.576
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.8909 0.78298 0.308 0.692
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.0938 0.61731 0.988 0.012
#> 67E92530-3B19-424C-B219-958A88909046 1 0.8909 0.63870 0.692 0.308
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.9954 0.54839 0.540 0.460
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.62035 1.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.9248 0.63149 0.660 0.340
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.4796 0.66286 0.000 0.780 0.220
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.9298 0.00844 0.460 0.164 0.376
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.7123 0.22813 0.604 0.032 0.364
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.80340 0.000 1.000 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.5690 0.33649 0.708 0.004 0.288
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 1 0.9717 -0.10190 0.392 0.220 0.388
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 1 0.9614 -0.02259 0.436 0.208 0.356
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.6275 0.27571 0.644 0.008 0.348
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.4121 0.41494 0.832 0.000 0.168
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.4521 0.37290 0.816 0.004 0.180
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.6955 0.10617 0.492 0.016 0.492
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.6235 0.42702 0.000 0.564 0.436
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.6008 0.23950 0.628 0.000 0.372
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.6008 0.23950 0.628 0.000 0.372
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.6008 0.23950 0.628 0.000 0.372
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0000 0.80340 0.000 1.000 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 1 0.9433 0.01464 0.460 0.184 0.356
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.1289 0.44737 0.968 0.000 0.032
#> 851B9B77-547A-43CC-B939-428E0A26C67C 3 0.9695 0.27105 0.244 0.304 0.452
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0000 0.80340 0.000 1.000 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.6855 0.36168 0.032 0.652 0.316
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.6192 -0.14644 0.000 0.420 0.580
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 3 0.8260 0.45640 0.192 0.172 0.636
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 3 0.9750 0.11364 0.368 0.228 0.404
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.4796 0.66286 0.000 0.780 0.220
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.2663 0.43570 0.932 0.024 0.044
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 1 0.9527 -0.03224 0.436 0.192 0.372
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.4178 0.41336 0.828 0.000 0.172
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.9137 0.37862 0.276 0.188 0.536
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.5926 0.25131 0.644 0.000 0.356
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.5016 0.65289 0.000 0.760 0.240
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.7379 0.21727 0.584 0.040 0.376
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.4235 0.41913 0.824 0.000 0.176
#> AA838488-4A13-4998-B261-91590113F37D 3 0.9145 0.41790 0.240 0.216 0.544
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 3 0.9651 0.06034 0.396 0.208 0.396
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.8677 0.17673 0.140 0.572 0.288
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.2796 0.44226 0.908 0.000 0.092
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.1529 0.44738 0.960 0.000 0.040
#> C6D88493-258C-481E-B3A4-75DA86C25C43 3 0.6553 0.04695 0.412 0.008 0.580
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.4978 0.38869 0.780 0.004 0.216
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.6703 0.51787 0.052 0.236 0.712
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 1 0.9717 -0.10190 0.392 0.220 0.388
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.6299 0.12638 0.524 0.000 0.476
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 3 0.6141 0.52903 0.032 0.232 0.736
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 1 0.6630 0.27772 0.672 0.028 0.300
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0848 0.79756 0.008 0.984 0.008
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 3 0.5945 0.52892 0.024 0.236 0.740
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0661 0.79939 0.004 0.988 0.008
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.6189 0.27329 0.632 0.004 0.364
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 3 0.8847 0.37752 0.300 0.148 0.552
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 1 0.7101 0.25899 0.704 0.080 0.216
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.8938 0.11313 0.552 0.164 0.284
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.1529 0.43774 0.960 0.000 0.040
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.1860 0.77478 0.000 0.948 0.052
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.80340 0.000 1.000 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 3 0.6764 0.51480 0.060 0.224 0.716
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.6452 0.48479 0.032 0.704 0.264
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.6008 0.23950 0.628 0.000 0.372
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.80340 0.000 1.000 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.80340 0.000 1.000 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.4750 0.66590 0.000 0.784 0.216
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.1289 0.44708 0.968 0.000 0.032
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0237 0.80194 0.000 0.996 0.004
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 3 0.9220 0.13546 0.376 0.156 0.468
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.5621 0.28444 0.692 0.000 0.308
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.6577 0.17454 0.572 0.008 0.420
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.5982 0.30234 0.668 0.004 0.328
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.7944 0.16457 0.656 0.132 0.212
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0000 0.80340 0.000 1.000 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.80340 0.000 1.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 3 0.6793 -0.08012 0.452 0.012 0.536
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 3 0.9752 0.16222 0.340 0.236 0.424
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.5733 0.28439 0.676 0.000 0.324
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.7671 0.09439 0.072 0.300 0.628
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.1647 0.44581 0.960 0.004 0.036
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.5810 0.26557 0.664 0.000 0.336
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.6988 0.37381 0.036 0.644 0.320
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.4937 0.41268 0.824 0.028 0.148
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.5291 0.31014 0.732 0.000 0.268
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.3752 0.40433 0.856 0.000 0.144
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.6008 0.23950 0.628 0.000 0.372
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.4062 0.37691 0.836 0.000 0.164
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.6192 0.45943 0.000 0.580 0.420
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.8246 0.13105 0.632 0.148 0.220
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0000 0.80340 0.000 1.000 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 3 0.6348 0.51903 0.060 0.188 0.752
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 3 0.9243 0.46313 0.232 0.236 0.532
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.1170 0.79331 0.016 0.976 0.008
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.1411 0.44666 0.964 0.000 0.036
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.1411 0.78580 0.000 0.964 0.036
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 1 0.9425 -0.00261 0.452 0.180 0.368
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0848 0.79756 0.008 0.984 0.008
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.4346 0.41887 0.816 0.000 0.184
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 1 0.9466 0.00663 0.456 0.188 0.356
#> F7B2E263-F0AE-440E-96C5-139233079A06 1 0.9714 -0.05836 0.420 0.224 0.356
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.9458 -0.02149 0.448 0.184 0.368
#> 17349241-FDBC-4297-8431-BB9400D87E63 3 0.6307 -0.14013 0.488 0.000 0.512
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.4796 0.66286 0.000 0.780 0.220
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.6008 0.23950 0.628 0.000 0.372
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.6309 0.13720 0.504 0.000 0.496
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.7713 0.12551 0.080 0.284 0.636
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.8743 0.02279 0.512 0.116 0.372
#> D227D812-6DF9-4954-9A50-6EBF6486116C 3 0.9020 0.22144 0.364 0.140 0.496
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0000 0.80340 0.000 1.000 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.8576 0.29522 0.160 0.600 0.240
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.6148 0.27352 0.640 0.004 0.356
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.1170 0.79331 0.016 0.976 0.008
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.4555 0.41285 0.800 0.000 0.200
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.80340 0.000 1.000 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.6008 0.23950 0.628 0.000 0.372
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.6008 0.23950 0.628 0.000 0.372
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.6308 0.13549 0.508 0.000 0.492
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.6596 0.47110 0.040 0.704 0.256
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0475 0.80052 0.004 0.992 0.004
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.1529 0.43774 0.960 0.000 0.040
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.4062 0.42047 0.836 0.000 0.164
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.6012 0.54181 0.032 0.748 0.220
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.6228 0.23441 0.624 0.004 0.372
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.6553 0.20158 0.580 0.008 0.412
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 3 0.7777 0.46342 0.160 0.164 0.676
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.80340 0.000 1.000 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.6713 0.17635 0.572 0.012 0.416
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.7726 0.45110 0.056 0.372 0.572
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 3 0.9725 0.19217 0.320 0.240 0.440
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.7217 0.24150 0.716 0.132 0.152
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.0000 0.80340 0.000 1.000 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 3 0.6437 0.52958 0.048 0.220 0.732
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.7867 0.22330 0.068 0.584 0.348
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0747 0.44611 0.984 0.000 0.016
#> 08C4C14A-94A8-4063-BBC3-916579960078 1 0.7263 0.21634 0.592 0.036 0.372
#> B11753A0-829F-4913-B894-F07A53FF1C92 3 0.7309 -0.00436 0.416 0.032 0.552
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.7513 0.26876 0.052 0.604 0.344
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.7724 0.12975 0.052 0.552 0.396
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 3 0.7741 0.48536 0.116 0.216 0.668
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.6309 0.13285 0.504 0.000 0.496
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.4178 0.42063 0.828 0.000 0.172
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.8834 0.03614 0.580 0.196 0.224
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 3 0.6229 0.26969 0.280 0.020 0.700
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.6045 0.23535 0.620 0.000 0.380
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0000 0.80340 0.000 1.000 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.4796 0.66286 0.000 0.780 0.220
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 1 0.9282 0.02188 0.468 0.164 0.368
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 3 0.9585 0.22409 0.332 0.212 0.456
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.6008 0.23950 0.628 0.000 0.372
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.8848 0.00352 0.504 0.124 0.372
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 3 0.6513 0.38577 0.008 0.400 0.592
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.1529 0.44738 0.960 0.000 0.040
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 3 0.8749 0.30112 0.300 0.140 0.560
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.5874 0.55772 0.032 0.760 0.208
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.8587 0.49293 0.148 0.260 0.592
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 1 0.9633 -0.05310 0.424 0.208 0.368
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.6008 0.23950 0.628 0.000 0.372
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0000 0.80340 0.000 1.000 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.6451 0.25243 0.608 0.008 0.384
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 3 0.7372 0.51449 0.092 0.220 0.688
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 1 0.9213 0.04772 0.484 0.160 0.356
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.6111 -0.09047 0.000 0.396 0.604
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.7571 0.45388 0.052 0.356 0.592
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.1620 0.78649 0.024 0.964 0.012
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.4978 0.38792 0.780 0.004 0.216
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.6008 0.23950 0.628 0.000 0.372
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 1 0.8720 0.08513 0.584 0.164 0.252
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 3 0.6309 -0.15866 0.500 0.000 0.500
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.6224 0.52187 0.032 0.728 0.240
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.6008 0.23950 0.628 0.000 0.372
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.5016 0.65289 0.000 0.760 0.240
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 3 0.7327 0.48758 0.052 0.312 0.636
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.4682 0.39409 0.804 0.004 0.192
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.80340 0.000 1.000 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0000 0.80340 0.000 1.000 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.6008 0.23950 0.628 0.000 0.372
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.6008 0.23950 0.628 0.000 0.372
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.1411 0.43834 0.964 0.000 0.036
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.8425 0.14241 0.540 0.096 0.364
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 3 0.6295 -0.11926 0.472 0.000 0.528
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.2165 0.44487 0.936 0.000 0.064
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.7453 0.52313 0.092 0.228 0.680
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.4346 0.68826 0.000 0.816 0.184
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.4172 0.39486 0.840 0.004 0.156
#> 67E92530-3B19-424C-B219-958A88909046 1 0.1529 0.43774 0.960 0.000 0.040
#> 548F421F-046B-4209-9B20-1A6F32424738 3 0.6979 0.45812 0.140 0.128 0.732
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.2625 0.43402 0.916 0.000 0.084
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 3 0.5939 0.30183 0.224 0.028 0.748
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.3764 0.67211 0.000 0.784 0.216 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.7093 0.47569 0.272 0.172 0.000 0.556
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.7238 0.43360 0.332 0.160 0.000 0.508
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.3402 0.81277 0.000 0.832 0.004 0.164
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.7362 -0.25278 0.444 0.160 0.000 0.396
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 4 0.4372 0.53131 0.268 0.004 0.000 0.728
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 4 0.7480 0.45461 0.276 0.224 0.000 0.500
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.7332 0.39423 0.356 0.164 0.000 0.480
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.6473 0.27697 0.644 0.168 0.000 0.188
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.6148 0.03043 0.636 0.084 0.000 0.280
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.5028 0.52635 0.596 0.004 0.000 0.400
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 1.00000 0.000 0.000 1.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.4193 0.59323 0.732 0.000 0.000 0.268
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.4193 0.59323 0.732 0.000 0.000 0.268
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#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.6957 -0.00206 0.580 0.172 0.000 0.248
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.56273 1.000 0.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.1474 0.48007 0.052 0.000 0.000 0.948
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.5369 0.35844 0.744 0.144 0.000 0.112
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.3982 0.26042 0.220 0.004 0.000 0.776
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.3530 0.71566 0.000 0.784 0.204 0.000 0.012
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.5077 0.30163 0.008 0.012 0.364 0.604 0.012
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.5645 0.34302 0.068 0.008 0.352 0.572 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0798 0.77037 0.000 0.976 0.000 0.016 0.008
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.5756 0.36718 0.112 0.000 0.312 0.576 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 5 0.6246 0.47380 0.000 0.024 0.352 0.088 0.536
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 4 0.5309 0.28910 0.000 0.060 0.364 0.576 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.5364 0.34385 0.064 0.000 0.364 0.572 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.1544 0.43091 0.068 0.000 0.000 0.932 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.6360 -0.13515 0.476 0.000 0.352 0.172 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.4348 0.41464 0.744 0.008 0.000 0.216 0.032
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.4101 0.26259 0.000 0.000 0.628 0.000 0.372
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0162 0.60756 0.996 0.000 0.000 0.004 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0510 0.60558 0.984 0.000 0.000 0.016 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.60770 1.000 0.000 0.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.3535 0.71946 0.000 0.808 0.000 0.028 0.164
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 4 0.5094 0.30347 0.000 0.048 0.352 0.600 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.4219 0.35955 0.584 0.000 0.000 0.416 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 3 0.8523 0.09652 0.012 0.132 0.352 0.304 0.200
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.1668 0.76776 0.000 0.940 0.000 0.028 0.032
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.6622 0.16352 0.032 0.552 0.332 0.028 0.056
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.4101 0.26259 0.000 0.000 0.628 0.000 0.372
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.7344 0.20183 0.588 0.156 0.020 0.136 0.100
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 3 0.7139 -0.03246 0.000 0.012 0.352 0.308 0.328
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.3530 0.71566 0.000 0.784 0.204 0.000 0.012
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.4126 -0.02238 0.380 0.000 0.000 0.620 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 4 0.5129 0.31312 0.028 0.012 0.356 0.604 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.1732 0.42820 0.080 0.000 0.000 0.920 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 5 0.4669 0.52014 0.352 0.012 0.008 0.000 0.628
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.4045 0.42915 0.644 0.000 0.000 0.356 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.4101 0.26259 0.000 0.000 0.628 0.000 0.372
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.6912 0.23793 0.216 0.012 0.336 0.436 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.1410 0.42884 0.060 0.000 0.000 0.940 0.000
#> AA838488-4A13-4998-B261-91590113F37D 5 0.4916 0.41474 0.440 0.012 0.004 0.004 0.540
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 4 0.5453 0.28683 0.016 0.012 0.364 0.588 0.020
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.6826 -0.31644 0.000 0.336 0.332 0.332 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 4 0.4152 0.17859 0.296 0.000 0.012 0.692 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.4256 0.33091 0.564 0.000 0.000 0.436 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 3 0.7197 -0.21380 0.284 0.016 0.360 0.340 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.1357 0.42717 0.048 0.000 0.004 0.948 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 5 0.4669 0.59015 0.008 0.012 0.352 0.000 0.628
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 4 0.7027 0.01279 0.000 0.020 0.352 0.428 0.200
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.1877 0.57921 0.924 0.012 0.064 0.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.8264 -0.03826 0.408 0.164 0.012 0.296 0.120
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 4 0.6631 0.31607 0.160 0.012 0.352 0.476 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.3209 0.70304 0.000 0.812 0.008 0.180 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 5 0.4669 0.52056 0.352 0.012 0.008 0.000 0.628
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.3171 0.70579 0.000 0.816 0.008 0.176 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.5953 0.33749 0.080 0.000 0.340 0.564 0.016
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.5338 0.13697 0.588 0.024 0.364 0.024 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 4 0.6950 0.26338 0.220 0.012 0.352 0.416 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.1082 0.40328 0.000 0.028 0.008 0.964 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.4210 0.37556 0.588 0.000 0.000 0.412 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 5 0.4444 0.18656 0.000 0.364 0.012 0.000 0.624
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0912 0.77003 0.000 0.972 0.000 0.016 0.012
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 5 0.4703 0.58801 0.004 0.012 0.352 0.004 0.628
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 5 0.5364 0.56486 0.000 0.056 0.352 0.004 0.588
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.3999 0.43740 0.656 0.000 0.000 0.344 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.2278 0.76667 0.000 0.908 0.000 0.032 0.060
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.3003 0.71052 0.000 0.812 0.000 0.000 0.188
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.2470 0.75450 0.000 0.884 0.104 0.000 0.012
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.4015 0.06104 0.348 0.000 0.000 0.652 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.1911 0.76762 0.000 0.932 0.004 0.028 0.036
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 3 0.8197 -0.09500 0.184 0.012 0.364 0.348 0.092
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.4192 0.39477 0.596 0.000 0.000 0.404 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0693 0.60367 0.980 0.008 0.012 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.5901 0.34446 0.116 0.000 0.344 0.540 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 3 0.7276 -0.22120 0.320 0.020 0.364 0.296 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0794 0.76802 0.000 0.972 0.000 0.028 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0566 0.76942 0.000 0.984 0.000 0.012 0.004
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.5290 0.27301 0.624 0.000 0.000 0.300 0.076
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 5 0.4669 0.58473 0.000 0.012 0.352 0.008 0.628
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.4565 0.38161 0.580 0.000 0.012 0.408 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.4101 0.26259 0.000 0.000 0.628 0.000 0.372
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.4227 -0.09021 0.420 0.000 0.000 0.580 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.4444 0.42129 0.624 0.000 0.012 0.364 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 3 0.8327 -0.19563 0.000 0.188 0.364 0.172 0.276
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.3274 0.26985 0.220 0.000 0.000 0.780 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.4030 0.43120 0.648 0.000 0.000 0.352 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.5461 0.05829 0.580 0.000 0.344 0.076 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.60770 1.000 0.000 0.000 0.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.4114 0.41049 0.624 0.000 0.000 0.376 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.4101 0.26259 0.000 0.000 0.628 0.000 0.372
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.6442 -0.07340 0.484 0.008 0.364 0.144 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.3109 0.70003 0.000 0.800 0.000 0.000 0.200
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.7335 -0.20487 0.384 0.012 0.008 0.308 0.288
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 5 0.4669 0.59015 0.008 0.012 0.352 0.000 0.628
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.3282 0.69714 0.000 0.804 0.008 0.188 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.4114 0.00739 0.376 0.000 0.000 0.624 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 5 0.4430 0.19685 0.000 0.360 0.012 0.000 0.628
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 4 0.4449 0.31940 0.008 0.004 0.352 0.636 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.2891 0.70679 0.000 0.824 0.000 0.176 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.4152 0.15376 0.296 0.000 0.012 0.692 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 4 0.5094 0.30347 0.000 0.048 0.352 0.600 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 4 0.5155 0.30080 0.000 0.052 0.352 0.596 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.4703 0.31242 0.004 0.004 0.352 0.628 0.012
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.3779 0.34325 0.144 0.000 0.000 0.804 0.052
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.3530 0.71566 0.000 0.784 0.204 0.000 0.012
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.60770 1.000 0.000 0.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.4045 0.04298 0.356 0.000 0.000 0.644 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.4101 0.26259 0.000 0.000 0.628 0.000 0.372
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.1267 0.59537 0.960 0.000 0.012 0.024 0.004
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.1393 0.59229 0.956 0.008 0.012 0.024 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.1386 0.76531 0.000 0.952 0.000 0.032 0.016
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.6743 0.02046 0.000 0.396 0.264 0.340 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.5328 0.35032 0.064 0.000 0.352 0.584 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.2966 0.70284 0.000 0.816 0.000 0.184 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.3983 0.09295 0.340 0.000 0.000 0.660 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.2208 0.76481 0.000 0.908 0.000 0.020 0.072
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.4030 0.43397 0.648 0.000 0.000 0.352 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0404 0.60658 0.988 0.000 0.000 0.012 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.4331 -0.02799 0.400 0.000 0.004 0.596 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.5787 0.21603 0.008 0.568 0.364 0.044 0.016
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.4015 0.68349 0.000 0.768 0.012 0.016 0.204
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.4171 0.38561 0.604 0.000 0.000 0.396 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.4029 0.13813 0.316 0.000 0.004 0.680 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.7253 -0.05839 0.000 0.400 0.352 0.028 0.220
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.60770 1.000 0.000 0.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.1430 0.58196 0.944 0.004 0.000 0.052 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 3 0.7640 -0.16582 0.236 0.028 0.364 0.360 0.012
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.3535 0.71946 0.000 0.808 0.000 0.028 0.164
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0510 0.60729 0.984 0.000 0.000 0.016 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.7623 -0.26951 0.400 0.320 0.012 0.028 0.240
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 3 0.8175 0.04217 0.008 0.164 0.364 0.352 0.112
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.4689 -0.15934 0.424 0.000 0.000 0.560 0.016
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.1386 0.76531 0.000 0.952 0.000 0.032 0.016
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.8157 0.05534 0.468 0.156 0.020 0.244 0.112
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 5 0.4669 0.58473 0.000 0.012 0.352 0.008 0.628
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.4305 -0.22255 0.488 0.000 0.000 0.512 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 4 0.5571 0.34116 0.072 0.004 0.348 0.576 0.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.4235 0.41620 0.748 0.020 0.012 0.220 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 5 0.4669 0.58473 0.000 0.012 0.352 0.008 0.628
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 5 0.6438 0.47914 0.000 0.052 0.360 0.064 0.524
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 3 0.8762 0.04765 0.052 0.124 0.356 0.340 0.128
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.3395 0.38888 0.764 0.000 0.000 0.236 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.3003 0.33241 0.188 0.000 0.000 0.812 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 3 0.8255 -0.13690 0.348 0.056 0.364 0.200 0.032
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 3 0.9476 0.05863 0.160 0.148 0.336 0.252 0.104
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.4114 0.41781 0.624 0.000 0.000 0.376 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.1588 0.76941 0.000 0.948 0.008 0.028 0.016
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.3530 0.71566 0.000 0.784 0.204 0.000 0.012
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 4 0.4552 0.31187 0.004 0.012 0.352 0.632 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.7917 0.05767 0.088 0.156 0.336 0.412 0.008
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.60770 1.000 0.000 0.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.1885 0.58874 0.936 0.020 0.012 0.032 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 5 0.7510 0.34963 0.388 0.164 0.020 0.028 0.400
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.4659 0.26423 0.500 0.000 0.012 0.488 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.6128 0.33298 0.640 0.144 0.000 0.184 0.032
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.7530 0.09756 0.000 0.428 0.352 0.132 0.088
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 5 0.4669 0.52056 0.352 0.012 0.008 0.000 0.628
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 4 0.5487 0.29814 0.024 0.024 0.364 0.584 0.004
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.60770 1.000 0.000 0.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.3039 0.70587 0.000 0.808 0.000 0.000 0.192
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.4080 0.22017 0.252 0.000 0.000 0.728 0.020
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 3 0.9366 0.06263 0.164 0.156 0.332 0.268 0.080
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 4 0.5094 0.30347 0.000 0.048 0.352 0.600 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.4101 0.26259 0.000 0.000 0.628 0.000 0.372
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 5 0.4669 0.59015 0.008 0.012 0.352 0.000 0.628
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.1729 0.77154 0.004 0.944 0.012 0.032 0.008
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.1357 0.42717 0.048 0.000 0.004 0.948 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0162 0.60668 0.996 0.000 0.000 0.000 0.004
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.6603 0.26932 0.156 0.012 0.352 0.480 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.4074 0.02724 0.364 0.000 0.000 0.636 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 5 0.5174 0.57625 0.000 0.056 0.340 0.000 0.604
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.4030 0.43397 0.648 0.000 0.000 0.352 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.4101 0.26259 0.000 0.000 0.628 0.000 0.372
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 3 0.8317 0.03984 0.024 0.060 0.352 0.300 0.264
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.6925 -0.31560 0.368 0.004 0.344 0.284 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.1741 0.76771 0.000 0.936 0.000 0.024 0.040
#> CC008807-7264-4593-966F-104992B35873 2 0.1750 0.76751 0.000 0.936 0.000 0.028 0.036
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.60770 1.000 0.000 0.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.60770 1.000 0.000 0.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.4268 -0.14029 0.444 0.000 0.000 0.556 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.6083 0.32577 0.092 0.012 0.292 0.596 0.008
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.6973 0.20094 0.532 0.112 0.000 0.288 0.068
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.3928 0.15773 0.296 0.000 0.004 0.700 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 5 0.4757 0.52241 0.348 0.012 0.012 0.000 0.628
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.1970 0.76380 0.000 0.924 0.060 0.004 0.012
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.6816 0.24543 0.324 0.000 0.316 0.360 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.4161 0.38862 0.608 0.000 0.000 0.392 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 5 0.5167 0.51098 0.360 0.012 0.012 0.012 0.604
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.6362 0.17797 0.368 0.000 0.168 0.464 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.6229 0.24338 0.588 0.008 0.008 0.272 0.124
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.2597 0.752968 0.000 0.824 0.176 0.000 0.000 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.5586 0.351815 0.020 0.012 0.000 0.556 0.064 0.348
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.5174 0.377853 0.040 0.000 0.000 0.588 0.036 0.336
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.2442 0.765847 0.000 0.852 0.000 0.000 0.144 0.004
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.6151 0.391590 0.144 0.000 0.000 0.516 0.036 0.304
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 6 0.2816 0.520325 0.000 0.028 0.000 0.036 0.060 0.876
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.0547 0.797955 0.000 0.000 0.000 0.020 0.980 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.5310 0.365807 0.020 0.000 0.000 0.564 0.068 0.348
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.0858 0.450756 0.004 0.000 0.000 0.968 0.028 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.6025 0.085282 0.508 0.000 0.000 0.124 0.032 0.336
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.3788 0.291859 0.704 0.000 0.000 0.280 0.004 0.012
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 1.000000 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0260 0.566094 0.992 0.000 0.000 0.008 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0547 0.564812 0.980 0.000 0.000 0.020 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.566006 1.000 0.000 0.000 0.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.2488 0.788510 0.000 0.864 0.000 0.004 0.008 0.124
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.1267 0.817025 0.000 0.000 0.000 0.060 0.940 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.3838 0.343107 0.552 0.000 0.000 0.448 0.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 6 0.6577 -0.010804 0.016 0.172 0.000 0.320 0.024 0.468
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0260 0.815430 0.000 0.992 0.000 0.000 0.000 0.008
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.5237 0.161056 0.048 0.584 0.000 0.004 0.024 0.340
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 1.000000 0.000 0.000 1.000 0.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.6438 0.306792 0.620 0.140 0.000 0.132 0.060 0.048
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 6 0.4362 -0.019638 0.000 0.028 0.000 0.388 0.000 0.584
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.2562 0.755576 0.000 0.828 0.172 0.000 0.000 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.3862 -0.164838 0.388 0.000 0.000 0.608 0.004 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.6503 0.347407 0.036 0.012 0.000 0.280 0.512 0.160
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.2404 0.421192 0.080 0.000 0.000 0.884 0.036 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 6 0.3883 0.369611 0.332 0.012 0.000 0.000 0.000 0.656
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.3727 0.393862 0.612 0.000 0.000 0.388 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 1.000000 0.000 0.000 1.000 0.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.6607 0.349211 0.208 0.000 0.000 0.428 0.040 0.324
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.1644 0.450966 0.040 0.000 0.000 0.932 0.028 0.000
#> AA838488-4A13-4998-B261-91590113F37D 6 0.4249 0.323429 0.416 0.012 0.000 0.000 0.004 0.568
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 4 0.5883 0.335439 0.028 0.016 0.000 0.528 0.068 0.360
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 4 0.7114 0.180456 0.000 0.100 0.000 0.388 0.184 0.328
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 4 0.4176 0.178748 0.232 0.000 0.000 0.720 0.036 0.012
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.3862 0.313031 0.524 0.000 0.000 0.476 0.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.6587 0.327083 0.136 0.008 0.000 0.460 0.048 0.348
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.0935 0.451144 0.004 0.000 0.000 0.964 0.032 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 6 0.0363 0.566962 0.000 0.012 0.000 0.000 0.000 0.988
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 4 0.4866 0.174124 0.000 0.028 0.000 0.480 0.016 0.476
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.2573 0.529998 0.884 0.008 0.000 0.000 0.044 0.064
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.7343 -0.056181 0.384 0.148 0.000 0.368 0.060 0.040
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 4 0.6638 0.330174 0.212 0.000 0.000 0.412 0.040 0.336
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 5 0.2001 0.803276 0.000 0.040 0.000 0.048 0.912 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 6 0.3898 0.366819 0.336 0.012 0.000 0.000 0.000 0.652
#> 081452CB-9401-4678-9BA2-431CB2ECF105 5 0.1765 0.746183 0.000 0.096 0.000 0.000 0.904 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.5144 0.383161 0.044 0.000 0.000 0.596 0.032 0.328
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.5799 0.188936 0.548 0.020 0.000 0.032 0.052 0.348
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 6 0.6905 -0.266527 0.296 0.000 0.000 0.320 0.048 0.336
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.1588 0.454572 0.000 0.004 0.000 0.924 0.072 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.3789 0.367470 0.584 0.000 0.000 0.416 0.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 6 0.3547 0.116447 0.000 0.332 0.000 0.000 0.000 0.668
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.3151 0.587603 0.000 0.748 0.000 0.000 0.252 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 6 0.0363 0.566962 0.000 0.012 0.000 0.000 0.000 0.988
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 6 0.1036 0.563320 0.000 0.024 0.000 0.004 0.008 0.964
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.3795 0.401390 0.632 0.000 0.000 0.364 0.004 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.1498 0.812506 0.000 0.940 0.000 0.032 0.000 0.028
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.2135 0.789859 0.000 0.872 0.000 0.000 0.000 0.128
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.1644 0.802488 0.000 0.920 0.076 0.000 0.004 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.3756 -0.181947 0.400 0.000 0.000 0.600 0.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0717 0.817121 0.000 0.976 0.000 0.008 0.000 0.016
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 4 0.6881 0.266395 0.144 0.016 0.000 0.400 0.052 0.388
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.3843 0.343978 0.548 0.000 0.000 0.452 0.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.1611 0.552931 0.944 0.008 0.000 0.012 0.024 0.012
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.5906 0.375012 0.112 0.000 0.000 0.528 0.032 0.328
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.7310 -0.040134 0.388 0.024 0.000 0.172 0.068 0.348
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.1327 0.804828 0.000 0.936 0.000 0.000 0.064 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0937 0.808496 0.000 0.960 0.000 0.000 0.040 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.4344 0.047247 0.556 0.000 0.000 0.424 0.004 0.016
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 6 0.0363 0.566962 0.000 0.012 0.000 0.000 0.000 0.988
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.4841 0.322405 0.504 0.000 0.000 0.452 0.032 0.012
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 1.000000 0.000 0.000 1.000 0.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.3765 -0.185843 0.404 0.000 0.000 0.596 0.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.4665 0.366743 0.552 0.000 0.000 0.412 0.024 0.012
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 6 0.5525 0.354478 0.000 0.256 0.000 0.088 0.040 0.616
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.2913 0.240156 0.180 0.004 0.000 0.812 0.004 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.3695 0.393086 0.624 0.000 0.000 0.376 0.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.5268 0.167955 0.580 0.000 0.000 0.056 0.028 0.336
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.566006 1.000 0.000 0.000 0.000 0.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.3810 0.366065 0.572 0.000 0.000 0.428 0.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 1.000000 0.000 0.000 1.000 0.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.6485 0.090886 0.488 0.012 0.000 0.080 0.072 0.348
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.2664 0.757196 0.000 0.816 0.000 0.000 0.000 0.184
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.6533 -0.036789 0.380 0.028 0.000 0.400 0.004 0.188
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 6 0.0363 0.566962 0.000 0.012 0.000 0.000 0.000 0.988
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 5 0.1856 0.806562 0.000 0.032 0.000 0.048 0.920 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.4494 -0.192322 0.424 0.000 0.000 0.544 0.032 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 6 0.3578 0.101578 0.000 0.340 0.000 0.000 0.000 0.660
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 5 0.5170 0.481223 0.008 0.004 0.000 0.340 0.580 0.068
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.2595 0.753566 0.000 0.836 0.000 0.004 0.160 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.3056 0.364210 0.140 0.000 0.000 0.832 0.016 0.012
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 5 0.1267 0.817025 0.000 0.000 0.000 0.060 0.940 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 5 0.1267 0.817025 0.000 0.000 0.000 0.060 0.940 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.4676 0.368599 0.004 0.004 0.000 0.616 0.040 0.336
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.2001 0.405970 0.092 0.000 0.000 0.900 0.004 0.004
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.2793 0.735674 0.000 0.800 0.200 0.000 0.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.566006 1.000 0.000 0.000 0.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.2823 0.306685 0.204 0.000 0.000 0.796 0.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 1.000000 0.000 0.000 1.000 0.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.1679 0.549032 0.936 0.016 0.000 0.000 0.036 0.012
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.1963 0.543906 0.924 0.016 0.000 0.004 0.044 0.012
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0547 0.808547 0.000 0.980 0.000 0.000 0.020 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.1333 0.816266 0.000 0.008 0.000 0.048 0.944 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.5111 0.372558 0.032 0.000 0.000 0.592 0.040 0.336
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.5104 0.254857 0.000 0.540 0.000 0.088 0.372 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.3023 0.295950 0.232 0.000 0.000 0.768 0.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0632 0.818098 0.000 0.976 0.000 0.000 0.000 0.024
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.3756 0.386980 0.600 0.000 0.000 0.400 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0458 0.565576 0.984 0.000 0.000 0.016 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.3288 0.246464 0.276 0.000 0.000 0.724 0.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.5552 0.103012 0.000 0.548 0.000 0.040 0.060 0.352
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.3273 0.725853 0.000 0.776 0.000 0.004 0.008 0.212
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.3797 0.369516 0.580 0.000 0.000 0.420 0.000 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.3163 0.323598 0.212 0.000 0.000 0.780 0.004 0.004
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 6 0.4178 0.021275 0.000 0.428 0.000 0.004 0.008 0.560
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.566006 1.000 0.000 0.000 0.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.1814 0.509073 0.900 0.000 0.000 0.100 0.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 4 0.7226 0.281636 0.176 0.028 0.000 0.388 0.052 0.356
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.2092 0.789456 0.000 0.876 0.000 0.000 0.000 0.124
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0603 0.565885 0.980 0.004 0.000 0.016 0.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.6855 -0.199883 0.384 0.340 0.000 0.012 0.028 0.236
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.6886 0.183561 0.028 0.108 0.000 0.416 0.056 0.392
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.4673 -0.230933 0.428 0.016 0.000 0.540 0.004 0.012
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.0363 0.810508 0.000 0.988 0.000 0.000 0.012 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.7235 0.115639 0.480 0.140 0.000 0.272 0.060 0.048
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 6 0.0363 0.566962 0.000 0.012 0.000 0.000 0.000 0.988
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.4172 0.295909 0.528 0.000 0.000 0.460 0.012 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 4 0.6482 0.340123 0.096 0.000 0.000 0.484 0.092 0.328
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.5068 0.228954 0.640 0.016 0.000 0.284 0.048 0.012
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 6 0.0363 0.566962 0.000 0.012 0.000 0.000 0.000 0.988
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 6 0.3755 0.469609 0.000 0.044 0.000 0.084 0.056 0.816
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.7073 0.186175 0.056 0.092 0.000 0.412 0.052 0.388
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.3547 0.178265 0.668 0.000 0.000 0.332 0.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.2790 0.406026 0.132 0.000 0.000 0.844 0.024 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 6 0.7705 -0.091602 0.352 0.084 0.000 0.120 0.068 0.376
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 6 0.7969 -0.165963 0.132 0.124 0.000 0.324 0.060 0.360
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.3756 0.382132 0.600 0.000 0.000 0.400 0.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 5 0.2933 0.635233 0.000 0.200 0.000 0.000 0.796 0.004
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.2597 0.752968 0.000 0.824 0.176 0.000 0.000 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 4 0.4939 0.355183 0.000 0.016 0.000 0.600 0.048 0.336
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.7767 0.197630 0.084 0.140 0.000 0.388 0.064 0.324
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.566006 1.000 0.000 0.000 0.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.2684 0.539563 0.892 0.020 0.000 0.032 0.044 0.012
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 6 0.6598 0.249802 0.384 0.156 0.000 0.004 0.044 0.412
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.4810 -0.240005 0.420 0.000 0.000 0.536 0.032 0.012
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.5401 0.315382 0.652 0.132 0.000 0.192 0.008 0.016
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.4808 0.116343 0.000 0.512 0.000 0.036 0.008 0.444
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 6 0.3898 0.366819 0.336 0.012 0.000 0.000 0.000 0.652
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 4 0.6585 0.309302 0.032 0.016 0.000 0.460 0.144 0.348
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.566006 1.000 0.000 0.000 0.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.2631 0.759978 0.000 0.820 0.000 0.000 0.000 0.180
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.2003 0.387622 0.116 0.000 0.000 0.884 0.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 6 0.7892 -0.175129 0.104 0.140 0.000 0.344 0.060 0.352
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.2527 0.734728 0.000 0.000 0.000 0.168 0.832 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 1.000000 0.000 0.000 1.000 0.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 6 0.0363 0.566962 0.000 0.012 0.000 0.000 0.000 0.988
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.2784 0.777989 0.000 0.848 0.000 0.008 0.132 0.012
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.1391 0.452442 0.016 0.000 0.000 0.944 0.040 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0146 0.564838 0.996 0.000 0.000 0.000 0.000 0.004
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.7042 0.268984 0.220 0.016 0.000 0.388 0.040 0.336
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.2697 0.316348 0.188 0.000 0.000 0.812 0.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 6 0.1285 0.556161 0.000 0.052 0.000 0.000 0.004 0.944
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.3747 0.389069 0.604 0.000 0.000 0.396 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 1.000000 0.000 0.000 1.000 0.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 6 0.5818 -0.090529 0.028 0.064 0.000 0.396 0.012 0.500
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.6597 -0.119255 0.400 0.000 0.000 0.232 0.032 0.336
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0363 0.816231 0.000 0.988 0.000 0.000 0.000 0.012
#> CC008807-7264-4593-966F-104992B35873 2 0.0820 0.814146 0.000 0.972 0.000 0.000 0.016 0.012
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.566006 1.000 0.000 0.000 0.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.566006 1.000 0.000 0.000 0.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.3993 -0.279306 0.476 0.000 0.000 0.520 0.004 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.5640 0.418816 0.072 0.012 0.000 0.608 0.032 0.276
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.5585 0.000848 0.496 0.068 0.000 0.412 0.016 0.008
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.3512 0.149987 0.248 0.000 0.000 0.740 0.008 0.004
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 6 0.3883 0.369611 0.332 0.012 0.000 0.000 0.000 0.656
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.1082 0.809884 0.000 0.956 0.040 0.000 0.004 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.6737 -0.023878 0.396 0.000 0.000 0.256 0.040 0.308
#> 67E92530-3B19-424C-B219-958A88909046 1 0.3756 0.380285 0.600 0.000 0.000 0.400 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 6 0.4446 0.360302 0.360 0.012 0.000 0.012 0.004 0.612
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.6316 0.096241 0.420 0.000 0.000 0.384 0.028 0.168
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.4911 0.062011 0.564 0.004 0.000 0.384 0.008 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["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 17604 rows and 183 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'CV' method.
#> Subgroups are detected by 'mclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.715 0.806 0.919 0.2475 0.771 0.771
#> 3 3 0.286 0.597 0.738 1.2186 0.542 0.422
#> 4 4 0.279 0.627 0.733 0.1483 0.841 0.631
#> 5 5 0.449 0.547 0.738 0.1566 0.796 0.487
#> 6 6 0.534 0.566 0.719 0.0559 0.951 0.819
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.765 0.000 1.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.0000 0.917 1.000 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.0000 0.917 1.000 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 1 0.9710 0.199 0.600 0.400
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.0000 0.917 1.000 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 1 0.2948 0.908 0.948 0.052
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 1.0000 0.211 0.500 0.500
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.0000 0.917 1.000 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.917 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.0000 0.917 1.000 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.2948 0.908 0.948 0.052
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.0000 0.765 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.917 1.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.917 1.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.917 1.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 1 0.2948 0.908 0.948 0.052
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.9922 0.384 0.448 0.552
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 0.917 1.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 1 0.2948 0.908 0.948 0.052
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 1 0.2948 0.908 0.948 0.052
#> B56D29F2-ADF4-43B9-9013-071466244B4A 1 0.3114 0.905 0.944 0.056
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.0000 0.765 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.2948 0.908 0.948 0.052
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.2948 0.908 0.948 0.052
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.765 0.000 1.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.917 1.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 1 0.3274 0.902 0.940 0.060
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.0000 0.917 1.000 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.2948 0.908 0.948 0.052
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.917 1.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.0000 0.765 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 0.917 1.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0000 0.917 1.000 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.2948 0.908 0.948 0.052
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.2948 0.908 0.948 0.052
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 1 0.9710 0.199 0.600 0.400
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.917 1.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0000 0.917 1.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.0000 0.917 1.000 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.0000 0.917 1.000 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.2948 0.908 0.948 0.052
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 1 0.2948 0.908 0.948 0.052
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.1184 0.915 0.984 0.016
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.2948 0.908 0.948 0.052
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 1 0.0000 0.917 1.000 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.9922 0.384 0.448 0.552
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.2948 0.908 0.948 0.052
#> 081452CB-9401-4678-9BA2-431CB2ECF105 1 0.9710 0.199 0.600 0.400
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.0000 0.917 1.000 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.917 1.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 1 0.2778 0.909 0.952 0.048
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.5178 0.844 0.884 0.116
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.917 1.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 1 0.2948 0.908 0.948 0.052
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 1 0.9710 0.199 0.600 0.400
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.2948 0.908 0.948 0.052
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 1 0.2948 0.908 0.948 0.052
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.917 1.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 1 0.2948 0.908 0.948 0.052
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 1 0.2948 0.908 0.948 0.052
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.5842 0.703 0.140 0.860
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0000 0.917 1.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 1 0.2948 0.908 0.948 0.052
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0000 0.917 1.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.917 1.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.2948 0.908 0.948 0.052
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.8386 0.584 0.732 0.268
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.0000 0.917 1.000 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.9732 0.459 0.404 0.596
#> 15532795-F8EC-4460-9972-82EC355E3B06 1 0.9795 0.139 0.584 0.416
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.917 1.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 1 0.2948 0.908 0.948 0.052
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.917 1.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.0000 0.765 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.917 1.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.917 1.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 1 0.2948 0.908 0.948 0.052
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0000 0.917 1.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.917 1.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.0000 0.917 1.000 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.917 1.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.917 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.0000 0.765 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.0000 0.917 1.000 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 1 0.2948 0.908 0.948 0.052
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.2778 0.909 0.952 0.048
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 1 0.2948 0.908 0.948 0.052
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.9922 0.384 0.448 0.552
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0000 0.917 1.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 1 0.2948 0.908 0.948 0.052
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 1 0.7528 0.643 0.784 0.216
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.9922 0.384 0.448 0.552
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.917 1.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.9998 0.242 0.492 0.508
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.9922 0.384 0.448 0.552
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.0000 0.917 1.000 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.8327 0.593 0.736 0.264
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.765 0.000 1.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.917 1.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.917 1.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 2 0.0000 0.765 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.2778 0.909 0.952 0.048
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.917 1.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 1 0.8499 0.566 0.724 0.276
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.9963 0.337 0.464 0.536
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.0000 0.917 1.000 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 1 0.9710 0.199 0.600 0.400
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0000 0.917 1.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 1 0.2948 0.908 0.948 0.052
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.917 1.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.917 1.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.917 1.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 1 0.2948 0.908 0.948 0.052
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 1 0.2948 0.908 0.948 0.052
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0000 0.917 1.000 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.917 1.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 1 0.2948 0.908 0.948 0.052
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.917 1.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.8386 0.584 0.732 0.268
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.917 1.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 1 0.2948 0.908 0.948 0.052
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.917 1.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 2 0.9710 0.432 0.400 0.600
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.2948 0.908 0.948 0.052
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.0000 0.917 1.000 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 1 0.9815 0.123 0.580 0.420
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.2948 0.908 0.948 0.052
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 1 0.2948 0.908 0.948 0.052
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.917 1.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 1 0.0938 0.911 0.988 0.012
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.917 1.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 1 0.2948 0.908 0.948 0.052
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 1 0.2948 0.908 0.948 0.052
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.2948 0.908 0.948 0.052
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.917 1.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0000 0.917 1.000 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.2948 0.908 0.948 0.052
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.9087 0.446 0.676 0.324
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.917 1.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 1 0.9710 0.199 0.600 0.400
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.765 0.000 1.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 1 0.2043 0.913 0.968 0.032
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.9393 0.351 0.644 0.356
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.917 1.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.917 1.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.8081 0.626 0.752 0.248
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.917 1.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.2948 0.908 0.948 0.052
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 1 0.2948 0.908 0.948 0.052
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.6973 0.740 0.812 0.188
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 1 0.5294 0.839 0.880 0.120
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.917 1.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 1 0.2948 0.908 0.948 0.052
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.917 1.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.2948 0.908 0.948 0.052
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 1 0.9993 -0.183 0.516 0.484
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.0000 0.765 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.2948 0.908 0.948 0.052
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 1 0.9710 0.199 0.600 0.400
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.0000 0.917 1.000 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.917 1.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 1 0.1184 0.915 0.984 0.016
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.917 1.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 1 0.2948 0.908 0.948 0.052
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.917 1.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.0000 0.765 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 1 0.2948 0.908 0.948 0.052
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.0000 0.917 1.000 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 1 0.2948 0.908 0.948 0.052
#> CC008807-7264-4593-966F-104992B35873 1 0.2948 0.908 0.948 0.052
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.917 1.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.917 1.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.917 1.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.0000 0.917 1.000 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.9993 -0.183 0.516 0.484
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.0000 0.917 1.000 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.2948 0.908 0.948 0.052
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.765 0.000 1.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.0000 0.917 1.000 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.917 1.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.2948 0.908 0.948 0.052
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.917 1.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.2043 0.913 0.968 0.032
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 3 0.3272 0.6647 0.104 0.004 0.892
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.5591 0.8002 0.696 0.304 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.5363 0.7858 0.724 0.276 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 3 0.8550 0.4798 0.096 0.412 0.492
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.4504 0.7988 0.804 0.196 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.2356 0.7315 0.072 0.928 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 3 0.8576 0.6290 0.152 0.252 0.596
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.5529 0.8061 0.704 0.296 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.4504 0.8100 0.804 0.196 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.5733 0.7891 0.676 0.324 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 2 0.6823 -0.2463 0.484 0.504 0.012
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0747 0.6631 0.016 0.000 0.984
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.6244 0.2171 0.560 0.440 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.6260 0.2219 0.552 0.448 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.6299 0.3248 0.524 0.476 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0424 0.7709 0.008 0.992 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 3 0.8607 0.6252 0.152 0.256 0.592
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.5497 0.8123 0.708 0.292 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.1753 0.7548 0.048 0.952 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0237 0.7707 0.004 0.996 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0829 0.7672 0.004 0.984 0.012
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0747 0.6631 0.016 0.000 0.984
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 2 0.2496 0.7466 0.068 0.928 0.004
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.4702 0.5278 0.212 0.788 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 3 0.3272 0.6647 0.104 0.004 0.892
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.5058 0.8269 0.756 0.244 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 3 0.9876 0.2873 0.300 0.288 0.412
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.3879 0.7731 0.848 0.152 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.4702 0.5710 0.212 0.788 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.5178 0.8216 0.744 0.256 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0747 0.6631 0.016 0.000 0.984
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.5678 0.7956 0.684 0.316 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.3619 0.7576 0.864 0.136 0.000
#> AA838488-4A13-4998-B261-91590113F37D 2 0.2165 0.7497 0.064 0.936 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.2200 0.7498 0.056 0.940 0.004
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 3 0.9355 0.5210 0.188 0.320 0.492
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.5058 0.8269 0.756 0.244 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.5058 0.8269 0.756 0.244 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.5882 0.7652 0.652 0.348 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.4178 0.7889 0.828 0.172 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.1163 0.7640 0.028 0.972 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.3752 0.6357 0.144 0.856 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 2 0.6244 -0.2445 0.440 0.560 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 2 0.1129 0.7694 0.020 0.976 0.004
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 1 0.5621 0.7986 0.692 0.308 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 3 0.8094 0.6384 0.100 0.288 0.612
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 2 0.1860 0.7516 0.052 0.948 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 3 0.8876 0.4624 0.120 0.412 0.468
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.5178 0.8254 0.744 0.256 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 2 0.6295 -0.3442 0.472 0.528 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 1 0.7571 0.6404 0.592 0.356 0.052
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.7424 0.6383 0.700 0.172 0.128
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.4504 0.7880 0.804 0.196 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.0237 0.7707 0.004 0.996 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 3 0.8841 0.5872 0.136 0.328 0.536
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 2 0.2261 0.7396 0.068 0.932 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0424 0.7709 0.008 0.992 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.4974 0.8256 0.764 0.236 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0424 0.7709 0.008 0.992 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0424 0.7691 0.008 0.992 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 3 0.5514 0.6586 0.156 0.044 0.800
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.4178 0.7929 0.828 0.172 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0424 0.7709 0.008 0.992 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.2261 0.7424 0.068 0.932 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.5291 0.8166 0.732 0.268 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 2 0.3116 0.7151 0.108 0.892 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.8030 0.5885 0.652 0.204 0.144
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.5591 0.7984 0.696 0.304 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 3 0.7327 0.6711 0.160 0.132 0.708
#> 15532795-F8EC-4460-9972-82EC355E3B06 3 0.8273 0.4094 0.076 0.448 0.476
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 2 0.6309 -0.2489 0.496 0.504 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.1289 0.7678 0.032 0.968 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.5216 0.7813 0.740 0.260 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0747 0.6631 0.016 0.000 0.984
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.5254 0.8229 0.736 0.264 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.5254 0.8195 0.736 0.264 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.1878 0.7510 0.044 0.952 0.004
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.5431 0.8136 0.716 0.284 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.5529 0.8038 0.704 0.296 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.5465 0.8115 0.712 0.288 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.5948 0.1967 0.640 0.360 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.4974 0.8256 0.764 0.236 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0747 0.6631 0.016 0.000 0.984
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.4702 0.5140 0.212 0.788 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0424 0.7709 0.008 0.992 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 2 0.5905 0.1811 0.352 0.648 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.0747 0.7698 0.016 0.984 0.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 3 0.8525 0.6322 0.148 0.252 0.600
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.4702 0.8187 0.788 0.212 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.0237 0.7707 0.004 0.996 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 3 0.9878 0.1635 0.340 0.264 0.396
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 3 0.7778 0.6584 0.104 0.240 0.656
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.4974 0.8256 0.764 0.236 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 3 0.8762 0.6072 0.160 0.264 0.576
#> F7B2E263-F0AE-440E-96C5-139233079A06 3 0.8525 0.6322 0.148 0.252 0.600
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.5591 0.8015 0.696 0.304 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.6939 0.1983 0.712 0.072 0.216
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 3 0.3272 0.6647 0.104 0.004 0.892
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 2 0.6307 -0.3379 0.488 0.512 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.4605 0.8071 0.796 0.204 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0747 0.6631 0.016 0.000 0.984
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 2 0.3192 0.7178 0.112 0.888 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 2 0.6252 -0.2694 0.444 0.556 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.2229 0.7234 0.044 0.944 0.012
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 3 0.8491 0.6332 0.128 0.284 0.588
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.5815 0.7998 0.692 0.304 0.004
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 3 0.8765 0.6130 0.168 0.252 0.580
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.4062 0.7546 0.836 0.164 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0424 0.7709 0.008 0.992 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.6252 0.5157 0.556 0.444 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.6299 0.3248 0.524 0.476 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.4974 0.8256 0.764 0.236 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.1832 0.7612 0.036 0.956 0.008
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0237 0.7707 0.004 0.996 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.5058 0.8269 0.756 0.244 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.4931 0.8257 0.768 0.232 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0237 0.7707 0.004 0.996 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.6295 0.3311 0.528 0.472 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 3 0.9969 0.3057 0.296 0.344 0.360
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 2 0.6180 -0.1921 0.416 0.584 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0424 0.7709 0.008 0.992 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 2 0.6299 -0.3228 0.476 0.524 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.9700 0.3766 0.240 0.312 0.448
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.9364 -0.2963 0.400 0.432 0.168
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.5497 0.8014 0.708 0.292 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.9152 -0.3395 0.144 0.428 0.428
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 2 0.1525 0.7651 0.032 0.964 0.004
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.1411 0.7598 0.036 0.964 0.000
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.4974 0.8256 0.764 0.236 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 1 0.7458 0.6351 0.692 0.196 0.112
#> B11753A0-829F-4913-B894-F07A53FF1C92 2 0.6280 -0.3036 0.460 0.540 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0237 0.7707 0.004 0.996 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.1411 0.7605 0.036 0.964 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.6521 0.3663 0.500 0.496 0.004
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.5497 0.7473 0.708 0.292 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.2774 0.6366 0.920 0.072 0.008
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.2860 0.7242 0.084 0.912 0.004
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 2 0.9687 -0.2703 0.216 0.412 0.372
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.4702 0.7675 0.788 0.212 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 3 0.9065 0.4485 0.136 0.416 0.448
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 3 0.3272 0.6647 0.104 0.004 0.892
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 1 0.9934 0.0709 0.388 0.292 0.320
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.9471 -0.3046 0.184 0.440 0.376
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 2 0.6308 -0.3452 0.492 0.508 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 2 0.5016 0.5754 0.240 0.760 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 2 0.5450 0.5310 0.228 0.760 0.012
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.5058 0.8269 0.756 0.244 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 2 0.3272 0.7163 0.104 0.892 0.004
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0424 0.7709 0.008 0.992 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.4931 0.5369 0.232 0.768 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 3 0.9970 0.2672 0.312 0.316 0.372
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 2 0.6291 -0.3099 0.468 0.532 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0424 0.7709 0.008 0.992 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.4974 0.8256 0.764 0.236 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.0983 0.7703 0.016 0.980 0.004
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 3 0.8556 0.6288 0.148 0.256 0.596
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0747 0.6631 0.016 0.000 0.984
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.1411 0.7599 0.036 0.964 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 3 0.9263 0.4889 0.164 0.360 0.476
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.4842 0.8158 0.776 0.224 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.6140 0.1923 0.596 0.404 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 1 0.5785 0.7504 0.668 0.332 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.4842 0.8156 0.776 0.224 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0237 0.7707 0.004 0.996 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.5138 0.8253 0.748 0.252 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0747 0.6631 0.016 0.000 0.984
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.1163 0.7690 0.028 0.972 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.5529 0.8061 0.704 0.296 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0592 0.7699 0.012 0.988 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0424 0.7709 0.008 0.992 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.6307 0.3184 0.512 0.488 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.6299 0.3246 0.524 0.476 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.5016 0.8265 0.760 0.240 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.5591 0.8022 0.696 0.304 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 3 0.8230 0.6305 0.348 0.088 0.564
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.5465 0.8115 0.712 0.288 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 2 0.4452 0.6028 0.192 0.808 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 3 0.3272 0.6647 0.104 0.004 0.892
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.5291 0.7935 0.732 0.268 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.5178 0.8258 0.744 0.256 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 2 0.4121 0.6507 0.168 0.832 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.5058 0.8269 0.756 0.244 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 2 0.2959 0.7257 0.100 0.900 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 3 0.6168 0.6576 0.012 0.028 0.516 0.444
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.4875 0.6365 0.772 0.160 0.000 0.068
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.5994 0.5764 0.692 0.152 0.000 0.156
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 4 0.7936 0.6517 0.076 0.304 0.084 0.536
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.4579 0.6362 0.812 0.052 0.012 0.124
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.3697 0.7700 0.100 0.852 0.000 0.048
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 4 0.7546 0.7014 0.184 0.108 0.080 0.628
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.3278 0.6934 0.864 0.116 0.000 0.020
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.3617 0.6661 0.860 0.020 0.012 0.108
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.3877 0.6936 0.840 0.112 0.000 0.048
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.7252 0.5334 0.592 0.240 0.016 0.152
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0592 0.8320 0.000 0.000 0.984 0.016
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.6510 0.4770 0.604 0.304 0.004 0.088
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.6224 0.5401 0.648 0.264 0.004 0.084
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.6207 0.4709 0.616 0.316 0.004 0.064
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.1820 0.7619 0.036 0.944 0.000 0.020
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 4 0.7581 0.7029 0.188 0.108 0.080 0.624
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.3831 0.6919 0.792 0.204 0.000 0.004
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.4083 0.7632 0.100 0.832 0.000 0.068
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.2021 0.7634 0.040 0.936 0.000 0.024
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.3598 0.7598 0.028 0.848 0.000 0.124
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0592 0.8320 0.000 0.000 0.984 0.016
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 2 0.5891 0.7038 0.168 0.700 0.000 0.132
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.6302 0.4060 0.368 0.564 0.000 0.068
#> 482285EC-BA43-441D-9986-7937B61A81D1 3 0.6168 0.6576 0.012 0.028 0.516 0.444
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0895 0.7098 0.976 0.020 0.004 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 4 0.7309 0.5786 0.312 0.112 0.020 0.556
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.3680 0.6536 0.852 0.016 0.012 0.120
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.5304 0.6975 0.148 0.748 0.000 0.104
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.3662 0.7086 0.860 0.104 0.012 0.024
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0592 0.8320 0.000 0.000 0.984 0.016
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.5267 0.6390 0.712 0.240 0.000 0.048
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.3764 0.6492 0.816 0.000 0.012 0.172
#> AA838488-4A13-4998-B261-91590113F37D 2 0.5292 0.6743 0.208 0.728 0.000 0.064
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.4804 0.7253 0.160 0.776 0.000 0.064
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 4 0.8633 0.7005 0.176 0.232 0.084 0.508
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.2552 0.7115 0.920 0.020 0.012 0.048
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.1721 0.7072 0.952 0.028 0.012 0.008
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.5631 0.6461 0.696 0.232 0.000 0.072
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.3896 0.6524 0.844 0.024 0.012 0.120
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.4609 0.7301 0.156 0.788 0.000 0.056
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.4893 0.7221 0.168 0.768 0.000 0.064
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.6888 0.4609 0.564 0.320 0.004 0.112
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 2 0.5121 0.7470 0.116 0.764 0.000 0.120
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 1 0.4829 0.6418 0.776 0.156 0.000 0.068
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 4 0.7529 0.6728 0.084 0.200 0.092 0.624
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 2 0.4893 0.7164 0.168 0.768 0.000 0.064
#> 081452CB-9401-4678-9BA2-431CB2ECF105 4 0.8024 0.6324 0.076 0.328 0.084 0.512
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.2759 0.7115 0.904 0.052 0.000 0.044
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.6547 0.4464 0.568 0.340 0.000 0.092
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 4 0.7835 0.2671 0.336 0.268 0.000 0.396
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.4854 0.5785 0.732 0.020 0.004 0.244
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.1471 0.6983 0.960 0.024 0.012 0.004
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.1211 0.7670 0.040 0.960 0.000 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 4 0.7768 0.6881 0.092 0.232 0.084 0.592
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 2 0.4893 0.7164 0.168 0.768 0.000 0.064
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.1118 0.7648 0.036 0.964 0.000 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0672 0.7036 0.984 0.008 0.008 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.1706 0.7628 0.036 0.948 0.000 0.016
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.1820 0.7619 0.036 0.944 0.000 0.020
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 3 0.6179 0.6402 0.012 0.028 0.504 0.456
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.3432 0.6770 0.872 0.020 0.012 0.096
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.1118 0.7648 0.036 0.964 0.000 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.4937 0.7149 0.172 0.764 0.000 0.064
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.1543 0.7068 0.956 0.032 0.004 0.008
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 2 0.7273 0.1765 0.380 0.484 0.004 0.132
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.6255 0.5395 0.668 0.080 0.012 0.240
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.5119 0.6463 0.768 0.148 0.004 0.080
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 4 0.6903 0.5746 0.064 0.136 0.116 0.684
#> 15532795-F8EC-4460-9972-82EC355E3B06 4 0.7628 0.6042 0.048 0.324 0.088 0.540
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.6770 0.4657 0.584 0.304 0.004 0.108
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.3401 0.7665 0.152 0.840 0.000 0.008
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.4097 0.7054 0.840 0.112 0.016 0.032
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0592 0.8320 0.000 0.000 0.984 0.016
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.1732 0.7123 0.948 0.040 0.008 0.004
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.4761 0.6569 0.764 0.192 0.000 0.044
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.5277 0.6616 0.116 0.752 0.000 0.132
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.2489 0.7174 0.912 0.068 0.000 0.020
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.3946 0.7000 0.812 0.172 0.004 0.012
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.2197 0.7131 0.916 0.080 0.000 0.004
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.6706 0.5767 0.632 0.204 0.004 0.160
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.1174 0.7070 0.968 0.020 0.012 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0592 0.8320 0.000 0.000 0.984 0.016
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.5256 0.6748 0.204 0.732 0.000 0.064
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.1118 0.7648 0.036 0.964 0.000 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.6716 0.2765 0.520 0.396 0.004 0.080
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.4088 0.7594 0.140 0.820 0.000 0.040
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 4 0.7563 0.6990 0.160 0.128 0.080 0.632
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.3367 0.6812 0.876 0.020 0.012 0.092
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.2021 0.7633 0.040 0.936 0.000 0.024
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 4 0.7077 0.6048 0.296 0.116 0.012 0.576
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 4 0.7280 0.6604 0.084 0.172 0.092 0.652
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0937 0.7056 0.976 0.012 0.012 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 4 0.7761 0.7088 0.192 0.120 0.080 0.608
#> F7B2E263-F0AE-440E-96C5-139233079A06 4 0.7546 0.7014 0.184 0.108 0.080 0.628
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.4586 0.6625 0.796 0.136 0.000 0.068
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.5636 0.5791 0.700 0.036 0.016 0.248
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 3 0.6168 0.6576 0.012 0.028 0.516 0.444
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.6376 0.4232 0.588 0.340 0.004 0.068
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.1174 0.6992 0.968 0.020 0.012 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0592 0.8320 0.000 0.000 0.984 0.016
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 2 0.7122 0.3702 0.324 0.540 0.004 0.132
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.6580 0.2884 0.504 0.416 0.000 0.080
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.6136 0.5549 0.064 0.728 0.052 0.156
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 4 0.7532 0.7015 0.140 0.144 0.080 0.636
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.4786 0.6633 0.788 0.104 0.000 0.108
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 4 0.7828 0.7110 0.180 0.120 0.092 0.608
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.4045 0.6480 0.824 0.028 0.004 0.144
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.1211 0.7670 0.040 0.960 0.000 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.5148 0.6836 0.768 0.164 0.012 0.056
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.6082 0.5098 0.640 0.292 0.004 0.064
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0376 0.7075 0.992 0.000 0.004 0.004
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.3548 0.7652 0.068 0.864 0.000 0.068
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.1211 0.7670 0.040 0.960 0.000 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.1362 0.7073 0.964 0.020 0.012 0.004
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.1526 0.7067 0.960 0.012 0.012 0.016
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.1211 0.7670 0.040 0.960 0.000 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.6104 0.5064 0.636 0.296 0.004 0.064
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.8007 0.4460 0.484 0.196 0.020 0.300
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 2 0.6156 0.3312 0.344 0.592 0.000 0.064
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.1118 0.7648 0.036 0.964 0.000 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.6770 0.4307 0.560 0.340 0.004 0.096
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 4 0.8674 0.1693 0.116 0.324 0.100 0.460
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.8173 0.1366 0.444 0.284 0.016 0.256
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.5272 0.6911 0.760 0.140 0.004 0.096
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.8152 0.0832 0.064 0.496 0.108 0.332
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 2 0.5849 0.7076 0.164 0.704 0.000 0.132
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.2546 0.7769 0.092 0.900 0.000 0.008
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.1174 0.7070 0.968 0.020 0.012 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 1 0.7112 -0.0443 0.500 0.092 0.012 0.396
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.6883 0.4134 0.548 0.344 0.004 0.104
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.2281 0.7768 0.096 0.904 0.000 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.3009 0.7637 0.052 0.892 0.000 0.056
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.6741 0.5980 0.620 0.236 0.004 0.140
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.3429 0.7138 0.876 0.064 0.004 0.056
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.4572 0.6252 0.796 0.024 0.016 0.164
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.4804 0.7234 0.160 0.776 0.000 0.064
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.8078 0.4386 0.496 0.264 0.024 0.216
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.2218 0.7030 0.932 0.028 0.004 0.036
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 4 0.8238 0.6827 0.108 0.280 0.084 0.528
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 3 0.6168 0.6576 0.012 0.028 0.516 0.444
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 4 0.7657 0.3682 0.384 0.148 0.012 0.456
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.8273 0.2770 0.452 0.292 0.024 0.232
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.6407 0.4061 0.580 0.348 0.004 0.068
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.7317 0.0688 0.440 0.424 0.004 0.132
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 2 0.6100 0.6353 0.084 0.644 0.000 0.272
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.1362 0.7073 0.964 0.020 0.012 0.004
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 2 0.6637 0.5592 0.260 0.608 0.000 0.132
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.1118 0.7648 0.036 0.964 0.000 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.5672 0.6422 0.100 0.712 0.000 0.188
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 4 0.8841 0.6101 0.308 0.184 0.072 0.436
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.6435 0.3879 0.572 0.356 0.004 0.068
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.1118 0.7648 0.036 0.964 0.000 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.1398 0.7150 0.956 0.004 0.000 0.040
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.4419 0.7630 0.104 0.812 0.000 0.084
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 4 0.7615 0.7033 0.192 0.108 0.080 0.620
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0592 0.8320 0.000 0.000 0.984 0.016
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.4224 0.7465 0.100 0.824 0.000 0.076
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 4 0.8621 0.6816 0.152 0.268 0.084 0.496
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.4185 0.6468 0.832 0.036 0.012 0.120
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.6589 0.4916 0.608 0.288 0.004 0.100
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 1 0.7050 0.4492 0.568 0.252 0.000 0.180
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.1471 0.6983 0.960 0.024 0.012 0.004
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.1302 0.7689 0.044 0.956 0.000 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.2862 0.7186 0.900 0.076 0.012 0.012
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0592 0.8320 0.000 0.000 0.984 0.016
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.5496 0.7155 0.160 0.732 0.000 0.108
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.3504 0.6921 0.860 0.116 0.012 0.012
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.2319 0.7476 0.036 0.924 0.000 0.040
#> CC008807-7264-4593-966F-104992B35873 2 0.1118 0.7648 0.036 0.964 0.000 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.6667 0.3781 0.556 0.356 0.004 0.084
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.6442 0.4583 0.600 0.324 0.008 0.068
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.1174 0.7070 0.968 0.020 0.012 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.4318 0.6766 0.816 0.116 0.000 0.068
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.8007 0.4125 0.520 0.136 0.044 0.300
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.2731 0.6976 0.896 0.092 0.008 0.004
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 2 0.5003 0.7089 0.148 0.768 0.000 0.084
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 4 0.5711 -0.2707 0.012 0.028 0.304 0.656
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.5619 0.5917 0.748 0.116 0.012 0.124
#> 67E92530-3B19-424C-B219-958A88909046 1 0.1863 0.7159 0.944 0.040 0.012 0.004
#> 548F421F-046B-4209-9B20-1A6F32424738 2 0.6163 0.2361 0.416 0.532 0.000 0.052
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.1471 0.7074 0.960 0.024 0.012 0.004
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 2 0.6791 0.4316 0.316 0.564 0.000 0.120
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 5 0.5139 0.3992 0.072 0.000 0.280 0.000 0.648
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.4430 0.6898 0.088 0.096 0.000 0.792 0.024
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.7252 0.4272 0.156 0.092 0.000 0.544 0.208
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.3998 0.6035 0.004 0.256 0.004 0.004 0.732
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.5799 0.4301 0.048 0.036 0.000 0.604 0.312
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.4647 0.5896 0.092 0.736 0.000 0.172 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.2349 0.6980 0.000 0.012 0.004 0.084 0.900
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#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.0992 0.7273 0.024 0.008 0.000 0.968 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.1121 0.7485 0.044 0.956 0.000 0.000 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 4 0.3687 0.5967 0.180 0.028 0.000 0.792 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0162 1.0000 0.000 0.000 0.996 0.000 0.004
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.6849 -0.0389 0.404 0.424 0.000 0.148 0.024
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.2889 0.7174 0.044 0.084 0.000 0.872 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.2389 0.6772 0.004 0.880 0.000 0.000 0.116
#> CC008807-7264-4593-966F-104992B35873 2 0.0000 0.7571 0.000 1.000 0.000 0.000 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.4700 0.6354 0.728 0.088 0.000 0.184 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.5140 0.6156 0.664 0.084 0.000 0.252 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.1041 0.7221 0.032 0.000 0.000 0.964 0.004
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.3593 0.6972 0.088 0.084 0.000 0.828 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 5 0.7939 0.2709 0.352 0.036 0.024 0.220 0.368
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.2300 0.7223 0.024 0.072 0.000 0.904 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.4497 0.4006 0.632 0.352 0.000 0.016 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 5 0.4054 0.5353 0.072 0.000 0.140 0.000 0.788
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.5615 0.4674 0.044 0.040 0.000 0.644 0.272
#> 67E92530-3B19-424C-B219-958A88909046 4 0.1741 0.7291 0.024 0.040 0.000 0.936 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.6740 0.3999 0.404 0.268 0.000 0.328 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.1469 0.7293 0.016 0.036 0.000 0.948 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.4555 0.5714 0.732 0.200 0.000 0.068 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 5 0.7526 0.1752 0.096 0.012 0.232 0.000 0.340 NA
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.7172 0.4067 0.144 0.156 0.000 0.516 0.164 NA
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.5493 0.5417 0.024 0.008 0.000 0.620 0.264 NA
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.2212 0.7341 0.000 0.112 0.000 0.000 0.880 NA
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.5408 0.5289 0.004 0.000 0.000 0.524 0.108 NA
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.4202 0.6304 0.300 0.668 0.000 0.028 0.000 NA
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.1225 0.7767 0.004 0.004 0.000 0.004 0.956 NA
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.2698 0.6796 0.096 0.004 0.000 0.872 0.008 NA
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.4607 0.5868 0.000 0.000 0.000 0.616 0.056 NA
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.2826 0.6758 0.112 0.000 0.000 0.856 0.008 NA
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.5655 0.2087 0.312 0.000 0.000 0.572 0.056 NA
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.9993 0.000 0.000 1.000 0.000 0.000 NA
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.5905 0.5449 0.468 0.000 0.000 0.288 0.000 NA
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.5921 0.5341 0.460 0.000 0.000 0.300 0.000 NA
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.5897 0.5506 0.472 0.000 0.000 0.280 0.000 NA
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0717 0.7478 0.008 0.976 0.000 0.000 0.016 NA
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.1225 0.7767 0.004 0.004 0.000 0.004 0.956 NA
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 4 0.4663 0.3961 0.244 0.000 0.000 0.664 0.000 NA
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.4172 0.5653 0.424 0.564 0.000 0.004 0.000 NA
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.1320 0.7461 0.016 0.948 0.000 0.000 0.036 NA
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.4883 0.4800 0.456 0.492 0.000 0.000 0.048 NA
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.9993 0.000 0.000 1.000 0.000 0.000 NA
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.2829 0.5805 0.864 0.016 0.000 0.096 0.024 NA
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.5987 -0.0838 0.372 0.140 0.000 0.472 0.004 NA
#> 482285EC-BA43-441D-9986-7937B61A81D1 5 0.7526 0.1752 0.096 0.012 0.232 0.000 0.340 NA
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.1625 0.6937 0.060 0.000 0.000 0.928 0.000 NA
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.3738 0.6916 0.060 0.008 0.000 0.100 0.816 NA
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.4607 0.5868 0.000 0.000 0.000 0.616 0.056 NA
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.5435 0.5183 0.652 0.204 0.000 0.096 0.000 NA
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 4 0.4573 0.3284 0.196 0.000 0.000 0.692 0.000 NA
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.9993 0.000 0.000 1.000 0.000 0.000 NA
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.4506 0.5882 0.140 0.108 0.000 0.736 0.000 NA
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.4621 0.5863 0.000 0.000 0.000 0.612 0.056 NA
#> AA838488-4A13-4998-B261-91590113F37D 1 0.3738 0.3495 0.704 0.280 0.000 0.016 0.000 NA
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.5422 0.5620 0.324 0.564 0.000 0.100 0.000 NA
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 5 0.1596 0.7793 0.004 0.032 0.004 0.008 0.944 NA
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 4 0.1663 0.6985 0.000 0.000 0.000 0.912 0.000 NA
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.1663 0.6985 0.000 0.000 0.000 0.912 0.000 NA
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.4635 0.5262 0.256 0.008 0.000 0.672 0.000 NA
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.4607 0.5860 0.000 0.000 0.000 0.616 0.056 NA
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.4565 0.4928 0.684 0.220 0.000 0.096 0.000 NA
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.5303 0.5740 0.312 0.584 0.000 0.092 0.000 NA
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.6381 0.4508 0.460 0.004 0.000 0.352 0.032 NA
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.3897 0.0812 0.696 0.280 0.000 0.000 0.024 NA
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 4 0.4152 0.6321 0.156 0.024 0.000 0.776 0.024 NA
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 5 0.0777 0.7814 0.000 0.024 0.000 0.004 0.972 NA
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.4396 0.4992 0.704 0.208 0.000 0.088 0.000 NA
#> 081452CB-9401-4678-9BA2-431CB2ECF105 5 0.1732 0.7638 0.000 0.072 0.000 0.004 0.920 NA
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.2834 0.6827 0.096 0.000 0.000 0.864 0.020 NA
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.5070 0.4794 0.624 0.072 0.000 0.288 0.000 NA
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 5 0.6347 0.4875 0.036 0.096 0.000 0.208 0.604 NA
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.6232 0.3251 0.004 0.000 0.004 0.436 0.296 NA
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.2006 0.6926 0.004 0.000 0.000 0.892 0.000 NA
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.1176 0.7438 0.020 0.956 0.000 0.024 0.000 NA
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 5 0.1155 0.7799 0.000 0.036 0.000 0.004 0.956 NA
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.4546 0.5077 0.692 0.204 0.000 0.104 0.000 NA
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.1556 0.7426 0.080 0.920 0.000 0.000 0.000 NA
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 4 0.1616 0.6745 0.048 0.000 0.000 0.932 0.000 NA
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.2225 0.7073 0.008 0.892 0.000 0.000 0.092 NA
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.1590 0.7365 0.008 0.936 0.000 0.000 0.048 NA
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 5 0.7465 0.2754 0.096 0.016 0.236 0.000 0.416 NA
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.4593 0.5878 0.000 0.000 0.000 0.620 0.056 NA
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0260 0.7473 0.008 0.992 0.000 0.000 0.000 NA
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.5497 0.5039 0.392 0.504 0.000 0.092 0.000 NA
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.4910 0.4228 0.192 0.000 0.000 0.656 0.000 NA
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.5417 0.6292 0.660 0.004 0.000 0.136 0.028 NA
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.7525 0.3550 0.064 0.004 0.024 0.400 0.232 NA
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.3530 0.6760 0.092 0.012 0.000 0.832 0.052 NA
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 5 0.1837 0.7715 0.000 0.020 0.032 0.004 0.932 NA
#> 15532795-F8EC-4460-9972-82EC355E3B06 5 0.4402 0.6289 0.000 0.168 0.000 0.000 0.716 NA
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.5896 0.4352 0.456 0.000 0.000 0.324 0.000 NA
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.5980 -0.0225 0.372 0.400 0.000 0.228 0.000 NA
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.3274 0.6483 0.096 0.000 0.000 0.824 0.000 NA
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.9993 0.000 0.000 1.000 0.000 0.000 NA
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.0725 0.6937 0.012 0.000 0.000 0.976 0.000 NA
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 4 0.5917 -0.3027 0.396 0.000 0.000 0.396 0.000 NA
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.6864 0.4534 0.224 0.476 0.000 0.012 0.240 NA
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.2555 0.6795 0.096 0.000 0.000 0.876 0.008 NA
#> 3E070741-BBA0-4806-8D74-08595E249252 4 0.5047 0.3432 0.236 0.000 0.000 0.628 0.000 NA
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.1225 0.6963 0.012 0.000 0.000 0.952 0.000 NA
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.6260 0.4986 0.444 0.000 0.000 0.280 0.012 NA
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.0508 0.6943 0.004 0.000 0.000 0.984 0.000 NA
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.9993 0.000 0.000 1.000 0.000 0.000 NA
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.5689 0.4930 0.392 0.492 0.000 0.096 0.000 NA
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0146 0.7441 0.000 0.996 0.000 0.000 0.004 NA
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.5403 0.2708 0.484 0.088 0.000 0.420 0.000 NA
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 1 0.5690 0.2191 0.528 0.320 0.000 0.144 0.000 NA
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 5 0.1478 0.7791 0.000 0.020 0.000 0.004 0.944 NA
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.4462 0.6032 0.000 0.000 0.000 0.660 0.060 NA
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.0820 0.7467 0.016 0.972 0.000 0.000 0.012 NA
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 5 0.3915 0.6778 0.072 0.004 0.000 0.096 0.804 NA
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 5 0.0692 0.7812 0.000 0.020 0.000 0.004 0.976 NA
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.1663 0.6990 0.000 0.000 0.000 0.912 0.000 NA
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 5 0.1338 0.7764 0.004 0.004 0.000 0.008 0.952 NA
#> F7B2E263-F0AE-440E-96C5-139233079A06 5 0.1225 0.7767 0.004 0.004 0.000 0.004 0.956 NA
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.4764 0.6382 0.108 0.004 0.000 0.724 0.144 NA
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.7074 0.4641 0.056 0.000 0.024 0.464 0.172 NA
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 5 0.7534 0.1652 0.096 0.012 0.236 0.000 0.336 NA
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.5851 0.5547 0.484 0.000 0.000 0.280 0.000 NA
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.1471 0.7005 0.004 0.000 0.000 0.932 0.000 NA
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.9993 0.000 0.000 1.000 0.000 0.000 NA
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.5112 0.6157 0.704 0.064 0.000 0.144 0.000 NA
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.5633 0.3474 0.596 0.212 0.000 0.176 0.000 NA
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.6392 0.3954 0.188 0.500 0.024 0.000 0.280 NA
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.1313 0.7789 0.000 0.016 0.000 0.004 0.952 NA
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.4580 0.6201 0.076 0.004 0.000 0.700 0.216 NA
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 5 0.0837 0.7811 0.000 0.020 0.000 0.004 0.972 NA
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.5740 0.5419 0.044 0.000 0.000 0.576 0.088 NA
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0260 0.7431 0.000 0.992 0.000 0.000 0.008 NA
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 4 0.5722 -0.4001 0.404 0.000 0.000 0.432 0.000 NA
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.5916 0.5395 0.464 0.000 0.000 0.292 0.000 NA
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.0622 0.6916 0.012 0.000 0.000 0.980 0.000 NA
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.4411 0.6087 0.356 0.612 0.000 0.000 0.028 NA
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0363 0.7477 0.012 0.988 0.000 0.000 0.000 NA
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 4 0.0508 0.6927 0.012 0.000 0.000 0.984 0.000 NA
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.1714 0.6985 0.000 0.000 0.000 0.908 0.000 NA
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0458 0.7477 0.016 0.984 0.000 0.000 0.000 NA
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.5919 0.5402 0.464 0.000 0.000 0.288 0.000 NA
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.7436 0.2931 0.432 0.000 0.024 0.288 0.152 NA
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 2 0.5775 0.4514 0.408 0.468 0.000 0.104 0.000 NA
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0725 0.7456 0.000 0.976 0.000 0.012 0.012 NA
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.5462 0.3493 0.496 0.000 0.000 0.376 0.000 NA
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.6398 0.4633 0.612 0.008 0.040 0.076 0.212 NA
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.7621 0.2803 0.104 0.132 0.000 0.452 0.260 NA
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.3179 0.6791 0.112 0.008 0.000 0.844 0.012 NA
#> 57787823-A815-4783-930C-A5752E48FFBA 1 0.7264 -0.2254 0.344 0.344 0.036 0.004 0.252 NA
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.3149 0.5205 0.856 0.080 0.000 0.040 0.020 NA
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.3885 0.6377 0.300 0.684 0.000 0.012 0.000 NA
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.1663 0.6985 0.000 0.000 0.000 0.912 0.000 NA
#> 08C4C14A-94A8-4063-BBC3-916579960078 5 0.5587 0.4795 0.008 0.000 0.000 0.176 0.580 NA
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.5791 0.5508 0.588 0.028 0.000 0.232 0.000 NA
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.3653 0.6322 0.300 0.692 0.000 0.008 0.000 NA
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.3761 0.7042 0.196 0.764 0.000 0.032 0.000 NA
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.5528 0.5801 0.184 0.008 0.000 0.668 0.080 NA
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.3104 0.6255 0.084 0.000 0.000 0.844 0.004 NA
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.4931 0.5816 0.000 0.000 0.000 0.592 0.084 NA
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.5529 0.5359 0.364 0.528 0.000 0.092 0.000 NA
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.7054 0.4800 0.136 0.016 0.024 0.564 0.176 NA
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.3973 0.6476 0.044 0.000 0.000 0.772 0.020 NA
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 5 0.1155 0.7798 0.000 0.036 0.000 0.004 0.956 NA
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 5 0.7526 0.1752 0.096 0.012 0.232 0.000 0.340 NA
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 5 0.4288 0.6603 0.088 0.004 0.000 0.104 0.776 NA
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.8445 0.2088 0.112 0.140 0.024 0.368 0.292 NA
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.5968 0.5560 0.484 0.004 0.000 0.276 0.000 NA
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.5327 0.6036 0.620 0.000 0.000 0.152 0.008 NA
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.5318 0.2551 0.676 0.212 0.008 0.020 0.072 NA
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.1204 0.7009 0.000 0.000 0.000 0.944 0.000 NA
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.2972 0.5819 0.860 0.016 0.000 0.096 0.024 NA
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0725 0.7456 0.000 0.976 0.000 0.012 0.012 NA
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.4782 0.4953 0.680 0.216 0.000 0.096 0.000 NA
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 5 0.3056 0.7567 0.020 0.020 0.000 0.032 0.872 NA
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.6554 0.5588 0.504 0.064 0.000 0.260 0.000 NA
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0146 0.7441 0.000 0.996 0.000 0.000 0.004 NA
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.2361 0.6825 0.088 0.000 0.000 0.884 0.000 NA
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.4361 -0.3628 0.552 0.424 0.000 0.000 0.024 NA
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.1225 0.7767 0.004 0.004 0.000 0.004 0.956 NA
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.9993 0.000 0.000 1.000 0.000 0.000 NA
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.3869 -0.2941 0.500 0.500 0.000 0.000 0.000 NA
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 5 0.1628 0.7785 0.008 0.036 0.000 0.004 0.940 NA
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.4635 0.5828 0.000 0.000 0.000 0.608 0.056 NA
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.6028 0.5500 0.468 0.000 0.000 0.276 0.004 NA
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.7491 0.4246 0.148 0.112 0.000 0.480 0.220 NA
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.1720 0.6858 0.040 0.000 0.000 0.928 0.000 NA
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.2912 0.6941 0.216 0.784 0.000 0.000 0.000 NA
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 4 0.3717 0.5020 0.160 0.000 0.000 0.776 0.000 NA
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0146 0.9951 0.000 0.000 0.996 0.000 0.004 NA
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 1 0.6057 0.3044 0.536 0.188 0.000 0.252 0.024 NA
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.1655 0.7033 0.008 0.000 0.000 0.932 0.008 NA
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.2425 0.7097 0.012 0.880 0.000 0.000 0.100 NA
#> CC008807-7264-4593-966F-104992B35873 2 0.0260 0.7473 0.008 0.992 0.000 0.000 0.000 NA
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.5486 0.5770 0.564 0.000 0.000 0.188 0.000 NA
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.5925 0.5264 0.456 0.000 0.000 0.308 0.000 NA
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.1556 0.6992 0.000 0.000 0.000 0.920 0.000 NA
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.3002 0.6624 0.136 0.000 0.000 0.836 0.008 NA
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.7457 0.4021 0.068 0.004 0.024 0.428 0.204 NA
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.0951 0.6978 0.020 0.000 0.000 0.968 0.008 NA
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.4675 0.5096 0.696 0.200 0.000 0.096 0.000 NA
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 5 0.7154 0.3326 0.136 0.012 0.100 0.000 0.432 NA
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.5798 0.4270 0.008 0.004 0.000 0.532 0.312 NA
#> 67E92530-3B19-424C-B219-958A88909046 4 0.1500 0.6948 0.052 0.000 0.000 0.936 0.000 NA
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.6394 0.5513 0.536 0.148 0.000 0.248 0.000 NA
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.0146 0.6947 0.000 0.000 0.000 0.996 0.000 NA
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.2890 0.5905 0.844 0.024 0.000 0.128 0.000 NA
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 17604 rows and 183 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 0.858 0.907 0.962 0.4927 0.507 0.507
#> 3 3 0.639 0.764 0.873 0.2374 0.812 0.651
#> 4 4 0.655 0.726 0.837 0.1347 0.852 0.648
#> 5 5 0.886 0.854 0.939 0.1390 0.813 0.472
#> 6 6 0.775 0.708 0.854 0.0451 0.911 0.627
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.9510 0.000 1.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.0000 0.9654 1.000 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.0000 0.9654 1.000 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.9510 0.000 1.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.3114 0.9123 0.944 0.056
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.9998 0.0683 0.492 0.508
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.6531 0.7963 0.168 0.832
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.0000 0.9654 1.000 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.9654 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.0000 0.9654 1.000 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.9654 1.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.0000 0.9510 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.9654 1.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.9654 1.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.9654 1.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0000 0.9510 0.000 1.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.5408 0.8440 0.124 0.876
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 0.9654 1.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.0000 0.9510 0.000 1.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0000 0.9510 0.000 1.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0000 0.9510 0.000 1.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.0000 0.9510 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.6887 0.7599 0.816 0.184
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.7674 0.6988 0.224 0.776
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.9510 0.000 1.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.9654 1.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0000 0.9510 0.000 1.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.0000 0.9654 1.000 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.0000 0.9510 0.000 1.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.9654 1.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.0000 0.9510 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 0.9654 1.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0000 0.9654 1.000 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 0.9654 1.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.0000 0.9654 1.000 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.0376 0.9486 0.004 0.996
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.9654 1.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0000 0.9654 1.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.0000 0.9654 1.000 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.0000 0.9654 1.000 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.0000 0.9510 0.000 1.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.7299 0.7521 0.204 0.796
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.9654 1.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.7056 0.7492 0.808 0.192
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 1 0.9686 0.3044 0.604 0.396
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.9510 0.000 1.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.9732 0.3310 0.596 0.404
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0000 0.9510 0.000 1.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.0000 0.9654 1.000 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.9654 1.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.7219 0.7569 0.200 0.800
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.0000 0.9654 1.000 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.9654 1.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.0000 0.9510 0.000 1.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.9510 0.000 1.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.9983 0.1030 0.524 0.476
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0000 0.9510 0.000 1.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.9654 1.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.9510 0.000 1.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.9510 0.000 1.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0000 0.9510 0.000 1.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0000 0.9654 1.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0000 0.9510 0.000 1.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0000 0.9654 1.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.9654 1.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.9654 1.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.9686 0.3027 0.604 0.396
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.0000 0.9654 1.000 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0000 0.9510 0.000 1.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.9510 0.000 1.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.9654 1.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.0000 0.9510 0.000 1.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.9654 1.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.0000 0.9510 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.9654 1.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.9654 1.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0672 0.9461 0.008 0.992
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0000 0.9654 1.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.9654 1.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.0000 0.9654 1.000 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.9654 1.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.9654 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.0000 0.9510 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.0000 0.9654 1.000 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0000 0.9510 0.000 1.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.9654 1.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.0938 0.9430 0.012 0.988
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0000 0.9510 0.000 1.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0000 0.9654 1.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.0000 0.9510 0.000 1.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.7299 0.7516 0.204 0.796
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.9510 0.000 1.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.9654 1.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.2043 0.9280 0.032 0.968
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.6887 0.7772 0.184 0.816
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.2043 0.9364 0.968 0.032
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0000 0.9654 1.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.9510 0.000 1.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.9654 1.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.9654 1.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 2 0.0000 0.9510 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.9654 1.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.9654 1.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0000 0.9510 0.000 1.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0000 0.9510 0.000 1.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.0000 0.9654 1.000 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.9510 0.000 1.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0000 0.9654 1.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.9510 0.000 1.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.9654 1.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.9654 1.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.9654 1.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.0938 0.9433 0.012 0.988
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0000 0.9510 0.000 1.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0000 0.9654 1.000 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.9654 1.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0000 0.9510 0.000 1.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.9654 1.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0000 0.9654 1.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.9654 1.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.9510 0.000 1.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.9654 1.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 2 0.0000 0.9510 0.000 1.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.8267 0.6324 0.740 0.260
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.0000 0.9654 1.000 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.0000 0.9510 0.000 1.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0000 0.9654 1.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.0376 0.9486 0.004 0.996
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.9654 1.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.7219 0.7569 0.200 0.800
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.9654 1.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0000 0.9510 0.000 1.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.0000 0.9510 0.000 1.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.0000 0.9654 1.000 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.9654 1.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0000 0.9654 1.000 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.9998 0.0858 0.492 0.508
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.0000 0.9654 1.000 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.9654 1.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0000 0.9510 0.000 1.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.9510 0.000 1.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.8207 0.6741 0.256 0.744
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.8499 0.5942 0.724 0.276
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.9654 1.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.9654 1.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 2 0.0000 0.9510 0.000 1.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.9654 1.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.7219 0.7375 0.800 0.200
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0000 0.9510 0.000 1.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.0000 0.9510 0.000 1.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.1843 0.9313 0.028 0.972
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.9654 1.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0000 0.9510 0.000 1.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.9654 1.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.1414 0.9478 0.980 0.020
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.9710 0.3745 0.400 0.600
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.0000 0.9510 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.0000 0.9510 0.000 1.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0672 0.9461 0.008 0.992
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.0000 0.9654 1.000 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.9654 1.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.9460 0.4633 0.364 0.636
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.9654 1.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0000 0.9510 0.000 1.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.9654 1.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.0000 0.9510 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.0000 0.9510 0.000 1.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.0000 0.9654 1.000 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.9510 0.000 1.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0000 0.9510 0.000 1.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.9654 1.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.9654 1.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.9654 1.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.0000 0.9654 1.000 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0000 0.9654 1.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.0000 0.9654 1.000 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.9710 0.3411 0.600 0.400
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.9510 0.000 1.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.1633 0.9440 0.976 0.024
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.9654 1.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.9654 1.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.9654 1.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0000 0.9654 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.4452 0.5567 0.000 0.808 0.192
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.6299 0.2595 0.476 0.524 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.5968 0.3145 0.636 0.364 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.1163 0.7250 0.000 0.972 0.028
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.6180 0.4221 0.416 0.584 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.6955 0.6716 0.100 0.728 0.172
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0592 0.7442 0.012 0.988 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.0000 0.9459 1.000 0.000 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.9459 1.000 0.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.1860 0.9022 0.948 0.052 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.9459 1.000 0.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.4002 0.7697 0.000 0.160 0.840
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.9459 1.000 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.9459 1.000 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.9459 1.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.4121 0.7149 0.000 0.832 0.168
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.0000 0.7404 0.000 1.000 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 0.9459 1.000 0.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.5928 0.6175 0.008 0.696 0.296
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 3 0.4002 0.6899 0.000 0.160 0.840
#> B56D29F2-ADF4-43B9-9013-071466244B4A 3 0.0237 0.7353 0.000 0.004 0.996
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.4002 0.7697 0.000 0.160 0.840
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.4399 0.7673 0.812 0.000 0.188
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.5690 0.6277 0.004 0.708 0.288
#> 482285EC-BA43-441D-9986-7937B61A81D1 3 0.4002 0.7697 0.000 0.160 0.840
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.9459 1.000 0.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0000 0.7404 0.000 1.000 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.5926 0.3404 0.644 0.356 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.4002 0.6899 0.000 0.160 0.840
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.9459 1.000 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.4002 0.7697 0.000 0.160 0.840
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 0.9459 1.000 0.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.1289 0.9239 0.968 0.032 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.5524 0.7445 0.796 0.040 0.164
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.7889 0.4003 0.624 0.288 0.088
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.1529 0.7161 0.000 0.960 0.040
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.9459 1.000 0.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0000 0.9459 1.000 0.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.0000 0.9459 1.000 0.000 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.3192 0.8335 0.888 0.112 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.4002 0.6899 0.000 0.160 0.840
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.4802 0.7175 0.020 0.824 0.156
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.9459 1.000 0.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.4842 0.7157 0.776 0.000 0.224
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.4931 0.6624 0.212 0.784 0.004
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.7404 0.000 1.000 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 3 0.6023 0.6370 0.120 0.092 0.788
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0000 0.7404 0.000 1.000 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.4235 0.7412 0.824 0.176 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.9459 1.000 0.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.3116 0.7273 0.108 0.892 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 2 0.5138 0.6119 0.252 0.748 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.9459 1.000 0.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.5016 0.6005 0.000 0.240 0.760
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.1163 0.7250 0.000 0.972 0.028
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 3 0.9252 0.2293 0.372 0.160 0.468
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.5948 0.5247 0.000 0.640 0.360
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.9459 1.000 0.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.4178 0.7131 0.000 0.828 0.172
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.5926 0.5256 0.000 0.644 0.356
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 3 0.4842 0.7313 0.000 0.224 0.776
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0000 0.9459 1.000 0.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.5327 0.6461 0.000 0.728 0.272
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.2496 0.8930 0.928 0.004 0.068
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.9459 1.000 0.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0592 0.9390 0.988 0.000 0.012
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.6267 0.3209 0.452 0.548 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.1529 0.9140 0.960 0.040 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.1643 0.7129 0.000 0.956 0.044
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.7404 0.000 1.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.2356 0.8893 0.928 0.000 0.072
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.6204 0.3825 0.000 0.576 0.424
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.9459 1.000 0.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.4002 0.7697 0.000 0.160 0.840
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.9459 1.000 0.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.9459 1.000 0.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.1753 0.7468 0.048 0.952 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0000 0.9459 1.000 0.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.9459 1.000 0.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.0000 0.9459 1.000 0.000 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.9459 1.000 0.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.9459 1.000 0.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.4002 0.7697 0.000 0.160 0.840
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.4423 0.8222 0.864 0.088 0.048
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.4605 0.6964 0.000 0.796 0.204
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.4731 0.7984 0.840 0.032 0.128
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 3 0.6509 -0.0841 0.004 0.472 0.524
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0000 0.7404 0.000 1.000 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0000 0.9459 1.000 0.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 3 0.6309 -0.1721 0.000 0.500 0.500
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.3116 0.7317 0.108 0.892 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.7404 0.000 1.000 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.9459 1.000 0.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0000 0.7404 0.000 1.000 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0000 0.7404 0.000 1.000 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.5760 0.5458 0.328 0.672 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0000 0.9459 1.000 0.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 3 0.4002 0.7697 0.000 0.160 0.840
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.9459 1.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.9459 1.000 0.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.4002 0.7697 0.000 0.160 0.840
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.1643 0.9154 0.956 0.000 0.044
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.9459 1.000 0.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 3 0.4178 0.7676 0.000 0.172 0.828
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0000 0.7404 0.000 1.000 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.5431 0.5852 0.284 0.716 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.7404 0.000 1.000 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0000 0.9459 1.000 0.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.5178 0.6602 0.000 0.744 0.256
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.9459 1.000 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.9459 1.000 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.9459 1.000 0.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.8309 0.5933 0.188 0.632 0.180
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 3 0.6309 -0.1647 0.000 0.496 0.504
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0000 0.9459 1.000 0.000 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.9459 1.000 0.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 3 0.4002 0.6899 0.000 0.160 0.840
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.9459 1.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.3213 0.8676 0.900 0.008 0.092
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.9459 1.000 0.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.4178 0.7115 0.000 0.828 0.172
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.9459 1.000 0.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.3941 0.7690 0.000 0.156 0.844
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.6062 0.2920 0.616 0.384 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.0237 0.9432 0.996 0.004 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 3 0.3941 0.7698 0.000 0.156 0.844
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.1643 0.9161 0.956 0.000 0.044
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.6244 0.3248 0.000 0.560 0.440
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.9459 1.000 0.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.2261 0.7442 0.068 0.932 0.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.9459 1.000 0.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 3 0.4931 0.6032 0.000 0.232 0.768
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.4654 0.6939 0.000 0.792 0.208
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.0000 0.9459 1.000 0.000 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.9459 1.000 0.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0000 0.9459 1.000 0.000 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.6059 0.6732 0.188 0.764 0.048
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.0000 0.9459 1.000 0.000 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.9459 1.000 0.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0000 0.7404 0.000 1.000 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 3 0.5098 0.7015 0.000 0.248 0.752
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.3340 0.7260 0.120 0.880 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.6062 0.2614 0.616 0.384 0.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.9459 1.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0237 0.9437 0.996 0.000 0.004
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 3 0.1643 0.7495 0.000 0.044 0.956
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.9459 1.000 0.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.5098 0.6831 0.752 0.000 0.248
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.3941 0.7150 0.000 0.844 0.156
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.3267 0.7118 0.000 0.116 0.884
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.0892 0.7393 0.020 0.980 0.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.9459 1.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.5058 0.6699 0.000 0.756 0.244
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.9459 1.000 0.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.1031 0.9304 0.976 0.000 0.024
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.3116 0.7319 0.108 0.892 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.4002 0.7697 0.000 0.160 0.840
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.4002 0.6899 0.000 0.160 0.840
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.1751 0.7300 0.028 0.960 0.012
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.6302 0.2439 0.480 0.520 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0237 0.9437 0.996 0.000 0.004
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.3619 0.7167 0.136 0.864 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.9459 1.000 0.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.5968 0.5174 0.000 0.636 0.364
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.9459 1.000 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.4002 0.7697 0.000 0.160 0.840
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 3 0.5053 0.6748 0.024 0.164 0.812
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.0000 0.9459 1.000 0.000 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.4887 0.6604 0.000 0.772 0.228
#> CC008807-7264-4593-966F-104992B35873 2 0.5621 0.6063 0.000 0.692 0.308
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.9459 1.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.9459 1.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.9459 1.000 0.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.1031 0.9291 0.976 0.024 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.4146 0.8375 0.876 0.080 0.044
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.0000 0.9459 1.000 0.000 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.5722 0.6642 0.084 0.112 0.804
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 3 0.4178 0.7656 0.000 0.172 0.828
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.6168 0.4305 0.412 0.588 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.9459 1.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.4862 0.7756 0.820 0.020 0.160
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.9459 1.000 0.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.4178 0.7842 0.828 0.000 0.172
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 3 0.5355 0.609 0.000 0.180 0.736 0.084
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.6887 -0.194 0.432 0.064 0.016 0.488
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.5090 0.753 0.660 0.000 0.016 0.324
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 4 0.3873 0.756 0.000 0.228 0.000 0.772
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.5326 -0.149 0.380 0.000 0.016 0.604
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.1545 0.775 0.008 0.952 0.000 0.040
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 4 0.3873 0.756 0.000 0.228 0.000 0.772
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.4535 0.832 0.744 0.000 0.016 0.240
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.4175 0.843 0.784 0.000 0.016 0.200
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0592 0.924 0.000 0.016 0.984 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.1716 0.783 0.936 0.064 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.1474 0.792 0.948 0.052 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.1211 0.798 0.960 0.040 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 4 0.4989 0.339 0.000 0.472 0.000 0.528
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 4 0.3873 0.756 0.000 0.228 0.000 0.772
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.1302 0.796 0.956 0.044 0.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.1867 0.760 0.000 0.928 0.000 0.072
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.1022 0.776 0.000 0.968 0.000 0.032
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.4175 0.605 0.012 0.776 0.212 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0592 0.924 0.000 0.016 0.984 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.4289 0.631 0.796 0.172 0.032 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.2542 0.759 0.000 0.904 0.012 0.084
#> 482285EC-BA43-441D-9986-7937B61A81D1 3 0.0592 0.924 0.000 0.016 0.984 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 4 0.3688 0.750 0.000 0.208 0.000 0.792
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.5298 0.688 0.612 0.000 0.016 0.372
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.3444 0.683 0.184 0.816 0.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0188 0.812 0.996 0.004 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0592 0.924 0.000 0.016 0.984 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.1510 0.810 0.956 0.028 0.000 0.016
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.5026 0.774 0.672 0.000 0.016 0.312
#> AA838488-4A13-4998-B261-91590113F37D 2 0.4008 0.638 0.244 0.756 0.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.2589 0.738 0.116 0.884 0.000 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 4 0.3157 0.716 0.000 0.144 0.004 0.852
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.4327 0.841 0.768 0.000 0.016 0.216
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.3873 0.841 0.772 0.000 0.000 0.228
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.0895 0.818 0.976 0.004 0.000 0.020
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.4661 0.820 0.728 0.000 0.016 0.256
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.0188 0.774 0.004 0.996 0.000 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.2480 0.746 0.000 0.904 0.008 0.088
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0469 0.809 0.988 0.012 0.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 2 0.4624 0.547 0.340 0.660 0.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 4 0.6910 0.581 0.164 0.252 0.000 0.584
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 4 0.3873 0.756 0.000 0.228 0.000 0.772
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 2 0.3726 0.660 0.212 0.788 0.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 4 0.3873 0.756 0.000 0.228 0.000 0.772
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.4857 0.796 0.700 0.000 0.016 0.284
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.1474 0.792 0.948 0.052 0.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 4 0.4212 0.751 0.012 0.216 0.000 0.772
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.2593 0.507 0.080 0.000 0.016 0.904
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.1557 0.769 0.000 0.944 0.000 0.056
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 4 0.4018 0.755 0.000 0.224 0.004 0.772
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 2 0.3356 0.690 0.176 0.824 0.000 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.1302 0.773 0.000 0.956 0.000 0.044
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.2976 0.839 0.872 0.000 0.008 0.120
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 4 0.4972 0.388 0.000 0.456 0.000 0.544
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.2149 0.747 0.000 0.912 0.000 0.088
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 3 0.0592 0.924 0.000 0.016 0.984 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.1557 0.769 0.000 0.944 0.000 0.056
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.4933 0.443 0.432 0.568 0.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.3881 0.844 0.812 0.000 0.016 0.172
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.1716 0.783 0.936 0.064 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.5508 -0.241 0.408 0.000 0.020 0.572
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.4199 0.829 0.804 0.032 0.000 0.164
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 4 0.5332 0.709 0.000 0.184 0.080 0.736
#> 15532795-F8EC-4460-9972-82EC355E3B06 4 0.3873 0.756 0.000 0.228 0.000 0.772
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.2967 0.820 0.904 0.028 0.016 0.052
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.1389 0.772 0.000 0.952 0.000 0.048
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.3390 0.840 0.852 0.000 0.016 0.132
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0592 0.924 0.000 0.016 0.984 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0707 0.806 0.980 0.020 0.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 4 0.4434 0.747 0.016 0.228 0.000 0.756
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0376 0.813 0.992 0.004 0.000 0.004
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.3400 0.843 0.820 0.000 0.000 0.180
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.1302 0.796 0.956 0.044 0.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0592 0.924 0.000 0.016 0.984 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.5590 0.372 0.456 0.524 0.000 0.020
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.3356 0.637 0.000 0.824 0.000 0.176
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.7351 0.540 0.576 0.256 0.016 0.152
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.0804 0.776 0.008 0.980 0.000 0.012
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 4 0.3873 0.756 0.000 0.228 0.000 0.772
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.1716 0.764 0.000 0.936 0.000 0.064
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 4 0.3873 0.756 0.000 0.228 0.000 0.772
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 4 0.3873 0.756 0.000 0.228 0.000 0.772
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 4 0.3873 0.756 0.000 0.228 0.000 0.772
#> F7B2E263-F0AE-440E-96C5-139233079A06 4 0.3873 0.756 0.000 0.228 0.000 0.772
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.6188 0.223 0.296 0.048 0.016 0.640
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 3 0.0592 0.924 0.000 0.016 0.984 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.1474 0.792 0.948 0.052 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0592 0.924 0.000 0.016 0.984 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.1792 0.780 0.932 0.068 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.1557 0.789 0.944 0.056 0.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 3 0.4121 0.706 0.000 0.184 0.796 0.020
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 4 0.3873 0.756 0.000 0.228 0.000 0.772
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.1824 0.533 0.060 0.000 0.004 0.936
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 4 0.3873 0.756 0.000 0.228 0.000 0.772
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.2081 0.750 0.000 0.916 0.000 0.084
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0469 0.809 0.988 0.012 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.1022 0.802 0.968 0.032 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.4327 0.841 0.768 0.000 0.016 0.216
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.6340 0.465 0.240 0.652 0.004 0.104
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.1389 0.772 0.000 0.952 0.000 0.048
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.3400 0.843 0.820 0.000 0.000 0.180
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0592 0.776 0.000 0.984 0.000 0.016
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0921 0.803 0.972 0.028 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 3 0.4718 0.544 0.272 0.008 0.716 0.004
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.1716 0.783 0.936 0.064 0.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.4277 0.433 0.000 0.720 0.000 0.280
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.1302 0.796 0.956 0.044 0.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.0592 0.924 0.000 0.016 0.984 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.6024 0.632 0.584 0.028 0.012 0.376
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.3636 0.843 0.820 0.008 0.000 0.172
#> 57787823-A815-4783-930C-A5752E48FFBA 3 0.0592 0.924 0.000 0.016 0.984 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.4543 0.349 0.676 0.324 0.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.1059 0.775 0.016 0.972 0.000 0.012
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> 08C4C14A-94A8-4063-BBC3-916579960078 4 0.1637 0.653 0.000 0.060 0.000 0.940
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.1118 0.800 0.964 0.036 0.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0817 0.776 0.000 0.976 0.000 0.024
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.1867 0.760 0.000 0.928 0.000 0.072
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.4253 0.843 0.776 0.000 0.016 0.208
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.6957 0.509 0.248 0.580 0.000 0.172
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.4609 0.838 0.752 0.000 0.024 0.224
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.4399 0.840 0.760 0.000 0.016 0.224
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 4 0.3873 0.756 0.000 0.228 0.000 0.772
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 3 0.0657 0.913 0.000 0.004 0.984 0.012
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 4 0.3873 0.756 0.000 0.228 0.000 0.772
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.5862 0.747 0.664 0.008 0.048 0.280
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.1474 0.792 0.948 0.052 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.1557 0.789 0.944 0.056 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 3 0.6950 0.450 0.180 0.236 0.584 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.3764 0.842 0.784 0.000 0.000 0.216
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 2 0.4916 0.445 0.424 0.576 0.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.2973 0.689 0.000 0.856 0.000 0.144
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.3257 0.672 0.004 0.844 0.152 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 4 0.3688 0.751 0.000 0.208 0.000 0.792
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.1637 0.786 0.940 0.060 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.1792 0.762 0.000 0.932 0.000 0.068
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.1637 0.786 0.940 0.060 0.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 4 0.2469 0.690 0.000 0.108 0.000 0.892
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0592 0.924 0.000 0.016 0.984 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.1211 0.764 0.040 0.960 0.000 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 4 0.4123 0.753 0.000 0.220 0.008 0.772
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.5510 -0.437 0.480 0.000 0.016 0.504
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.1716 0.783 0.936 0.064 0.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.3837 0.756 0.000 0.224 0.000 0.776
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.4290 0.842 0.772 0.000 0.016 0.212
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.1474 0.771 0.000 0.948 0.000 0.052
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.1022 0.821 0.968 0.000 0.000 0.032
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0592 0.924 0.000 0.016 0.984 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.4800 0.593 0.044 0.760 0.000 0.196
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.4319 0.839 0.760 0.000 0.012 0.228
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.4697 0.206 0.000 0.644 0.000 0.356
#> CC008807-7264-4593-966F-104992B35873 2 0.1474 0.771 0.000 0.948 0.000 0.052
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.1474 0.792 0.948 0.052 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0921 0.803 0.972 0.028 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.7450 0.559 0.508 0.000 0.264 0.228
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.3610 0.843 0.800 0.000 0.000 0.200
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 2 0.3764 0.656 0.216 0.784 0.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 3 0.0592 0.924 0.000 0.016 0.984 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.5298 -0.124 0.372 0.000 0.016 0.612
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0469 0.809 0.988 0.012 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 2 0.5889 0.519 0.336 0.624 0.016 0.024
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.4434 0.838 0.756 0.000 0.016 0.228
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 2 0.4854 0.632 0.240 0.736 0.016 0.008
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 3 0.4201 0.259 0.000 0.000 0.592 0.000 0.408
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.1270 0.901 0.000 0.000 0.000 0.948 0.052
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.0290 0.942 0.000 0.000 0.000 0.992 0.008
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.0162 0.944 0.000 0.000 0.000 0.996 0.004
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.959 0.000 0.000 1.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 5 0.1965 0.812 0.000 0.096 0.000 0.000 0.904
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.2561 0.761 0.000 0.856 0.000 0.000 0.144
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.3109 0.681 0.000 0.800 0.200 0.000 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.959 0.000 0.000 1.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0404 0.959 0.988 0.000 0.012 0.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.3480 0.665 0.000 0.752 0.000 0.248 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 3 0.0000 0.959 0.000 0.000 1.000 0.000 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.959 0.000 0.000 1.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.2900 0.843 0.864 0.000 0.000 0.028 0.108
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.0162 0.945 0.004 0.000 0.000 0.996 0.000
#> AA838488-4A13-4998-B261-91590113F37D 2 0.3983 0.515 0.340 0.660 0.000 0.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.6462 0.236 0.356 0.456 0.000 0.000 0.188
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.4161 0.338 0.608 0.000 0.000 0.392 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.3966 0.492 0.336 0.000 0.000 0.664 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.1121 0.934 0.956 0.000 0.000 0.044 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 2 0.2074 0.804 0.000 0.896 0.104 0.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 5 0.3474 0.721 0.004 0.192 0.000 0.008 0.796
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.0162 0.944 0.000 0.000 0.000 0.996 0.004
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.967 1.000 0.000 0.000 0.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.0162 0.944 0.000 0.000 0.000 0.996 0.004
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.1121 0.931 0.956 0.000 0.000 0.044 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 5 0.3661 0.619 0.000 0.276 0.000 0.000 0.724
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.3999 0.394 0.000 0.656 0.000 0.000 0.344
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 3 0.0000 0.959 0.000 0.000 1.000 0.000 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0290 0.963 0.992 0.008 0.000 0.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.967 1.000 0.000 0.000 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.0162 0.944 0.000 0.000 0.000 0.996 0.004
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.3333 0.712 0.788 0.000 0.000 0.004 0.208
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 5 0.3452 0.625 0.000 0.000 0.244 0.000 0.756
#> 15532795-F8EC-4460-9972-82EC355E3B06 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.0162 0.945 0.004 0.000 0.000 0.996 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.3857 0.536 0.312 0.000 0.000 0.688 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.959 0.000 0.000 1.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 5 0.2329 0.766 0.124 0.000 0.000 0.000 0.876
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.967 1.000 0.000 0.000 0.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.959 0.000 0.000 1.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.0162 0.966 0.996 0.004 0.000 0.000 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 5 0.4249 0.308 0.000 0.432 0.000 0.000 0.568
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.3752 0.539 0.000 0.292 0.000 0.708 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.0794 0.875 0.000 0.972 0.000 0.000 0.028
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.0510 0.882 0.000 0.984 0.000 0.000 0.016
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.0162 0.945 0.004 0.000 0.000 0.996 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.4206 0.546 0.000 0.016 0.000 0.696 0.288
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 3 0.0000 0.959 0.000 0.000 1.000 0.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.959 0.000 0.000 1.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 3 0.1043 0.921 0.000 0.000 0.960 0.000 0.040
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.3424 0.694 0.000 0.000 0.000 0.760 0.240
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.0609 0.934 0.020 0.000 0.000 0.980 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 5 0.4533 0.211 0.448 0.008 0.000 0.000 0.544
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0290 0.966 0.992 0.000 0.000 0.008 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.0404 0.939 0.012 0.000 0.000 0.988 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 3 0.0000 0.959 0.000 0.000 1.000 0.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.967 1.000 0.000 0.000 0.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 5 0.4305 0.142 0.000 0.488 0.000 0.000 0.512
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.967 1.000 0.000 0.000 0.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.0000 0.959 0.000 0.000 1.000 0.000 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 5 0.3774 0.548 0.000 0.000 0.000 0.296 0.704
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.2017 0.896 0.912 0.000 0.000 0.008 0.080
#> 57787823-A815-4783-930C-A5752E48FFBA 3 0.0000 0.959 0.000 0.000 1.000 0.000 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 2 0.2813 0.734 0.168 0.832 0.000 0.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.0162 0.945 0.004 0.000 0.000 0.996 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 5 0.4256 0.298 0.000 0.436 0.000 0.000 0.564
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.0162 0.945 0.004 0.000 0.000 0.996 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.0566 0.959 0.984 0.004 0.000 0.000 0.012
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.0162 0.944 0.000 0.000 0.004 0.996 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 3 0.0000 0.959 0.000 0.000 1.000 0.000 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 3 0.4411 0.637 0.012 0.000 0.732 0.024 0.232
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 3 0.0162 0.955 0.000 0.004 0.996 0.000 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.3210 0.715 0.212 0.000 0.000 0.788 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 2 0.2690 0.769 0.156 0.844 0.000 0.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 5 0.3636 0.626 0.000 0.272 0.000 0.000 0.728
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.3039 0.696 0.000 0.808 0.000 0.000 0.192
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.959 0.000 0.000 1.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 5 0.0000 0.870 0.000 0.000 0.000 0.000 1.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.0290 0.942 0.008 0.000 0.000 0.992 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.959 0.000 0.000 1.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.4138 0.416 0.000 0.616 0.000 0.384 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.1792 0.891 0.916 0.000 0.000 0.084 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 5 0.4307 0.109 0.000 0.496 0.000 0.000 0.504
#> CC008807-7264-4593-966F-104992B35873 2 0.1043 0.866 0.000 0.960 0.000 0.000 0.040
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.2236 0.893 0.908 0.000 0.000 0.068 0.024
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 2 0.0000 0.891 0.000 1.000 0.000 0.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 3 0.0000 0.959 0.000 0.000 1.000 0.000 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.3913 0.489 0.000 0.000 0.000 0.676 0.324
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0162 0.969 0.996 0.000 0.000 0.004 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 2 0.3949 0.526 0.000 0.668 0.000 0.332 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.0000 0.947 0.000 0.000 0.000 1.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 2 0.0000 0.891 0.000 1.000 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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 3 0.1088 0.9726 0.000 0.000 0.960 0.000 0.016 0.024
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 6 0.3737 0.4436 0.000 0.000 0.000 0.392 0.000 0.608
#> B626F298-622E-4C4F-8217-71D1234A6670 6 0.3659 0.4773 0.000 0.000 0.000 0.364 0.000 0.636
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.3288 0.6312 0.000 0.000 0.000 0.000 0.724 0.276
#> EB246839-8CB3-4B57-985E-DCEE23692361 6 0.3659 0.4807 0.000 0.000 0.000 0.364 0.000 0.636
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0146 0.8505 0.000 0.996 0.000 0.000 0.000 0.004
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.0000 0.8432 0.000 0.000 0.000 0.000 1.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 6 0.3810 0.3485 0.000 0.000 0.000 0.428 0.000 0.572
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.1007 0.7868 0.000 0.000 0.000 0.956 0.000 0.044
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.3847 0.1211 0.000 0.000 0.000 0.544 0.000 0.456
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#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.0000 0.8510 0.000 1.000 0.000 0.000 0.000 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 6 0.3817 0.0589 0.000 0.000 0.000 0.000 0.432 0.568
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 6 0.3756 0.4162 0.000 0.000 0.000 0.400 0.000 0.600
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.2969 0.7498 0.776 0.000 0.000 0.000 0.000 0.224
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 6 0.2664 0.4279 0.000 0.000 0.000 0.000 0.184 0.816
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.0547 0.7918 0.020 0.000 0.000 0.980 0.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0000 0.8510 0.000 1.000 0.000 0.000 0.000 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0146 0.8564 0.996 0.000 0.000 0.000 0.000 0.004
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.9873 0.000 0.000 1.000 0.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.3050 0.6456 0.000 0.764 0.000 0.236 0.000 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.4095 0.6863 0.756 0.000 0.000 0.152 0.004 0.088
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.2762 0.8091 0.000 0.860 0.000 0.000 0.048 0.092
#> CC008807-7264-4593-966F-104992B35873 2 0.3288 0.6684 0.000 0.724 0.000 0.000 0.000 0.276
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0146 0.8569 0.996 0.000 0.000 0.000 0.000 0.004
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0146 0.8565 0.996 0.000 0.000 0.000 0.000 0.004
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.2988 0.7216 0.028 0.000 0.000 0.828 0.000 0.144
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.0260 0.7965 0.000 0.000 0.000 0.992 0.000 0.008
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.0146 0.7963 0.000 0.000 0.004 0.996 0.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 6 0.2302 0.5448 0.120 0.000 0.000 0.008 0.000 0.872
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 2 0.0000 0.8510 0.000 1.000 0.000 0.000 0.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 3 0.0632 0.9853 0.000 0.000 0.976 0.000 0.000 0.024
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 6 0.3565 0.5378 0.004 0.000 0.000 0.304 0.000 0.692
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0260 0.8556 0.992 0.000 0.000 0.000 0.000 0.008
#> 548F421F-046B-4209-9B20-1A6F32424738 2 0.3747 0.3590 0.000 0.604 0.000 0.396 0.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.3860 -0.0302 0.000 0.000 0.000 0.528 0.000 0.472
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 2 0.3956 0.6230 0.000 0.712 0.000 0.252 0.000 0.036
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 17604 rows and 183 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 0.219 0.694 0.803 0.3709 0.606 0.606
#> 3 3 0.336 0.715 0.842 0.3960 0.772 0.646
#> 4 4 0.378 0.578 0.793 0.1997 0.864 0.739
#> 5 5 0.424 0.529 0.762 0.0670 0.898 0.776
#> 6 6 0.454 0.505 0.716 0.0547 0.890 0.735
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.8207 0.9239 0.256 0.744
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.7815 0.6310 0.768 0.232
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.7674 0.6452 0.776 0.224
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.8207 0.9239 0.256 0.744
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.9970 -0.2226 0.532 0.468
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 1 0.9988 -0.3127 0.520 0.480
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.8327 0.9200 0.264 0.736
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.7815 0.6310 0.768 0.232
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.5737 0.7535 0.864 0.136
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.6247 0.7330 0.844 0.156
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.3584 0.7825 0.932 0.068
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 1 0.8608 0.5300 0.716 0.284
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.4562 0.7220 0.904 0.096
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.4562 0.7220 0.904 0.096
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.2778 0.7552 0.952 0.048
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.8327 0.9201 0.264 0.736
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.8386 0.9149 0.268 0.732
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.4562 0.7760 0.904 0.096
#> 851B9B77-547A-43CC-B939-428E0A26C67C 1 0.9323 0.3410 0.652 0.348
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.8861 0.8658 0.304 0.696
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.9795 0.6590 0.416 0.584
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 1 0.8608 0.5300 0.716 0.284
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.1633 0.7712 0.976 0.024
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.6712 0.7160 0.824 0.176
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.8207 0.9239 0.256 0.744
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.4022 0.7791 0.920 0.080
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.8207 0.9239 0.256 0.744
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.9954 -0.1848 0.540 0.460
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.8608 0.5300 0.716 0.284
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.2043 0.7840 0.968 0.032
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 1 0.8608 0.5300 0.716 0.284
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.4690 0.7749 0.900 0.100
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.8386 0.5644 0.732 0.268
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0376 0.7781 0.996 0.004
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.6712 0.7312 0.824 0.176
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 1 0.7219 0.6818 0.800 0.200
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.1633 0.7680 0.976 0.024
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.4939 0.7679 0.892 0.108
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.7453 0.6651 0.788 0.212
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.9933 -0.1571 0.548 0.452
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.6148 0.7165 0.848 0.152
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 1 0.9087 0.4088 0.676 0.324
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.2603 0.7854 0.956 0.044
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.1633 0.7796 0.976 0.024
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.9963 0.5360 0.464 0.536
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.8207 0.9239 0.256 0.744
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.3274 0.7850 0.940 0.060
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.8207 0.9239 0.256 0.744
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.7219 0.6835 0.800 0.200
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0938 0.7807 0.988 0.012
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 1 0.9922 -0.1675 0.552 0.448
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.9248 0.3510 0.660 0.340
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.4562 0.7735 0.904 0.096
#> EFA708D5-586A-4184-B614-48AEFC5E8631 1 0.6531 0.6985 0.832 0.168
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.8267 0.9216 0.260 0.740
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.2778 0.7855 0.952 0.048
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.9775 0.6673 0.412 0.588
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.1633 0.7680 0.976 0.024
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.8207 0.9239 0.256 0.744
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.8207 0.9239 0.256 0.744
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.8207 0.9239 0.256 0.744
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.5178 0.7653 0.884 0.116
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.8499 0.9091 0.276 0.724
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.5059 0.7655 0.888 0.112
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.4161 0.7786 0.916 0.084
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.2778 0.7552 0.952 0.048
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.9970 -0.2226 0.532 0.468
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.6247 0.7321 0.844 0.156
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.8207 0.9239 0.256 0.744
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.8207 0.9239 0.256 0.744
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.3733 0.7832 0.928 0.072
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 1 0.9815 0.0277 0.580 0.420
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.1414 0.7792 0.980 0.020
#> 3D3E5993-9E56-4A95-928E-012B62959711 1 0.8608 0.5300 0.716 0.284
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.4562 0.7745 0.904 0.096
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.1633 0.7680 0.976 0.024
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 1 0.9922 -0.1675 0.552 0.448
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.4939 0.7679 0.892 0.108
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.4690 0.7718 0.900 0.100
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.5059 0.7675 0.888 0.112
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.4562 0.7220 0.904 0.096
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.5178 0.7643 0.884 0.116
#> F521826B-B2EC-4000-9CE0-935F331AF562 1 0.8608 0.5300 0.716 0.284
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.6712 0.7312 0.824 0.176
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.8207 0.9239 0.256 0.744
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.3879 0.7825 0.924 0.076
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 1 0.8763 0.4873 0.704 0.296
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.8386 0.9176 0.268 0.732
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.5178 0.7653 0.884 0.116
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 1 0.6438 0.7021 0.836 0.164
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.8207 0.9239 0.256 0.744
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.8207 0.9239 0.256 0.744
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.3274 0.7840 0.940 0.060
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.8499 0.9074 0.276 0.724
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.8327 0.9200 0.264 0.736
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.9286 0.3352 0.656 0.344
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.8267 0.5784 0.740 0.260
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.8207 0.9239 0.256 0.744
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.2778 0.7552 0.952 0.048
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.3114 0.7835 0.944 0.056
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 1 0.8608 0.5300 0.716 0.284
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.2778 0.7552 0.952 0.048
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0672 0.7795 0.992 0.008
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.9775 0.6673 0.412 0.588
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.5059 0.6862 0.112 0.888
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.7815 0.6366 0.768 0.232
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.8207 0.9239 0.256 0.744
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.5294 0.7633 0.880 0.120
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.8207 0.9239 0.256 0.744
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.2778 0.7552 0.952 0.048
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.2778 0.7552 0.952 0.048
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.2778 0.7847 0.952 0.048
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.9933 0.5566 0.452 0.548
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.8443 0.9124 0.272 0.728
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.4562 0.7760 0.904 0.096
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.3274 0.7840 0.940 0.060
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.8861 0.8658 0.304 0.696
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.2948 0.7848 0.948 0.052
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.2948 0.7848 0.948 0.052
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0672 0.7795 0.992 0.008
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.8327 0.9198 0.264 0.736
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.2603 0.7870 0.956 0.044
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.4161 0.7454 0.916 0.084
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.7219 0.6822 0.800 0.200
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.6531 0.7186 0.832 0.168
#> 57787823-A815-4783-930C-A5752E48FFBA 1 0.9323 0.3497 0.652 0.348
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.1633 0.7796 0.976 0.024
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 1 0.8081 0.5906 0.752 0.248
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.4939 0.7679 0.892 0.108
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.4815 0.6921 0.104 0.896
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.1633 0.7796 0.976 0.024
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.9998 0.4141 0.492 0.508
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.9833 0.6404 0.424 0.576
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.6148 0.7345 0.848 0.152
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.3114 0.7835 0.944 0.056
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.8386 0.5644 0.732 0.268
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.6712 0.7312 0.824 0.176
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.7299 0.6753 0.796 0.204
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.4815 0.7722 0.896 0.104
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.8207 0.9239 0.256 0.744
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.8207 0.9239 0.256 0.744
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.8207 0.9239 0.256 0.744
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.7219 0.6818 0.800 0.200
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.2778 0.7552 0.952 0.048
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.2778 0.7552 0.952 0.048
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.1414 0.7784 0.980 0.020
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.1633 0.7680 0.976 0.024
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.1184 0.7797 0.984 0.016
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.8267 0.9222 0.260 0.740
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.8608 0.5300 0.716 0.284
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 1 0.7219 0.6818 0.800 0.200
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.2778 0.7552 0.952 0.048
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.9358 0.7997 0.352 0.648
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.3274 0.7831 0.940 0.060
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.2603 0.7854 0.956 0.044
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.8207 0.9239 0.256 0.744
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 1 0.8608 0.5300 0.716 0.284
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.6531 0.6985 0.832 0.168
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.8327 0.9199 0.264 0.736
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.9970 -0.2226 0.532 0.468
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.4562 0.7220 0.904 0.096
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 1 0.9922 -0.1675 0.552 0.448
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.3114 0.7835 0.944 0.056
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.8207 0.9239 0.256 0.744
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.1843 0.7703 0.972 0.028
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 1 0.8608 0.5300 0.716 0.284
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 1 0.8713 0.5242 0.708 0.292
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.6048 0.7376 0.852 0.148
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.8207 0.9239 0.256 0.744
#> CC008807-7264-4593-966F-104992B35873 2 0.9358 0.7997 0.352 0.648
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.2423 0.7599 0.960 0.040
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.2778 0.7552 0.952 0.048
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.4022 0.7791 0.920 0.080
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.7219 0.6822 0.800 0.200
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.6531 0.7259 0.832 0.168
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.7453 0.6651 0.788 0.212
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.4161 0.7454 0.916 0.084
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.8207 0.9239 0.256 0.744
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.9944 -0.1655 0.544 0.456
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0376 0.7781 0.996 0.004
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.2603 0.7854 0.956 0.044
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.5294 0.7636 0.880 0.120
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.2778 0.7854 0.952 0.048
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.7891 0.000 1.000 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.5706 0.6994 0.680 0.320 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.5678 0.7089 0.684 0.316 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0237 0.7907 0.004 0.996 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.5760 0.4133 0.328 0.672 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.5882 0.3871 0.348 0.652 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0592 0.7916 0.012 0.988 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.5706 0.6994 0.680 0.320 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.5431 0.7527 0.716 0.284 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.5058 0.7961 0.756 0.244 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.3482 0.8410 0.872 0.128 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.8731 0.000 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.4346 0.6079 0.816 0.000 0.184
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.4346 0.6079 0.816 0.000 0.184
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0592 0.7826 0.988 0.000 0.012
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0424 0.7917 0.008 0.992 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.1182 0.7869 0.012 0.976 0.012
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.4062 0.8385 0.836 0.164 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.6305 -0.1869 0.484 0.516 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.2625 0.7631 0.084 0.916 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.5431 0.5736 0.284 0.716 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.8731 0.000 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.1643 0.8165 0.956 0.044 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.5621 0.7195 0.692 0.308 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.7891 0.000 1.000 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.3941 0.8382 0.844 0.156 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0237 0.7916 0.004 0.996 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 2 0.5835 0.3825 0.340 0.660 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 0.8731 0.000 0.000 1.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.2959 0.8371 0.900 0.100 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.8731 0.000 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.4346 0.8326 0.816 0.184 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.6267 0.3944 0.548 0.452 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.2066 0.8247 0.940 0.060 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.4842 0.7943 0.776 0.224 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 1 0.5529 0.7394 0.704 0.296 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.1643 0.8174 0.956 0.044 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.4555 0.8254 0.800 0.200 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.5560 0.7279 0.700 0.300 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 2 0.5882 0.3617 0.348 0.652 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.8072 0.5588 0.144 0.208 0.648
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 1 0.6309 0.2359 0.504 0.496 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.3267 0.8399 0.884 0.116 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.2261 0.8271 0.932 0.068 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.5905 0.3917 0.352 0.648 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0237 0.7916 0.004 0.996 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.4700 0.8211 0.812 0.180 0.008
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0000 0.7891 0.000 1.000 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.5497 0.7456 0.708 0.292 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.2448 0.8314 0.924 0.076 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.6280 -0.0374 0.460 0.540 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 2 0.6299 -0.1254 0.476 0.524 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.4452 0.8291 0.808 0.192 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.5618 0.6879 0.008 0.260 0.732
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0237 0.7872 0.000 0.996 0.004
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.4589 0.8247 0.820 0.172 0.008
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.5058 0.6295 0.244 0.756 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.1643 0.8174 0.956 0.044 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.7891 0.000 1.000 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.7891 0.000 1.000 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0237 0.7916 0.004 0.996 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.5138 0.7893 0.748 0.252 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.1411 0.7846 0.036 0.964 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.4062 0.8228 0.836 0.164 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.3879 0.8394 0.848 0.152 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0592 0.7826 0.988 0.000 0.012
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.5760 0.4133 0.328 0.672 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.4974 0.7976 0.764 0.236 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0237 0.7916 0.004 0.996 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.7891 0.000 1.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.4178 0.8357 0.828 0.172 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.7389 -0.0584 0.036 0.556 0.408
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.2261 0.8299 0.932 0.068 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.8731 0.000 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.4121 0.8360 0.832 0.168 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.1529 0.8150 0.960 0.040 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.6280 -0.0374 0.460 0.540 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.4346 0.8302 0.816 0.184 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.4121 0.8354 0.832 0.168 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.4346 0.8327 0.816 0.184 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.4346 0.6079 0.816 0.000 0.184
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.4399 0.8289 0.812 0.188 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.8731 0.000 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.4654 0.7978 0.792 0.208 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0237 0.7907 0.004 0.996 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.4504 0.8258 0.804 0.196 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 1 0.6140 0.5270 0.596 0.404 0.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0829 0.7909 0.012 0.984 0.004
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.4931 0.8064 0.768 0.232 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 3 0.5656 0.6833 0.008 0.264 0.728
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0237 0.7916 0.004 0.996 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.7891 0.000 1.000 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.4002 0.8385 0.840 0.160 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.1482 0.7806 0.012 0.968 0.020
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0592 0.7916 0.012 0.988 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.6252 0.4049 0.556 0.444 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.6252 0.4124 0.556 0.444 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.7891 0.000 1.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0592 0.7826 0.988 0.000 0.012
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.3482 0.8388 0.872 0.128 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.8731 0.000 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0592 0.7826 0.988 0.000 0.012
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.2261 0.8278 0.932 0.068 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.5058 0.6295 0.244 0.756 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.4291 0.5939 0.000 0.820 0.180
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.5882 0.6626 0.652 0.348 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0237 0.7907 0.004 0.996 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.4452 0.8285 0.808 0.192 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0237 0.7911 0.004 0.996 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0592 0.7826 0.988 0.000 0.012
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0592 0.7826 0.988 0.000 0.012
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.3116 0.8392 0.892 0.108 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.5760 0.4768 0.328 0.672 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.1163 0.7868 0.028 0.972 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.4062 0.8385 0.836 0.164 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.4178 0.8359 0.828 0.172 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.2625 0.7631 0.084 0.916 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.2796 0.8362 0.908 0.092 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.2796 0.8362 0.908 0.092 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.2625 0.8329 0.916 0.084 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0424 0.7916 0.008 0.992 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.3607 0.8425 0.880 0.112 0.008
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.6255 0.7059 0.776 0.112 0.112
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.5465 0.7479 0.712 0.288 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.5098 0.7859 0.752 0.248 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 1 0.6192 0.4479 0.580 0.420 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.2261 0.8271 0.932 0.068 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 3 0.9594 0.1318 0.204 0.360 0.436
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.4346 0.8293 0.816 0.184 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.4178 0.6082 0.000 0.828 0.172
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.2261 0.8271 0.932 0.068 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.5926 0.3484 0.356 0.644 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.5560 0.5376 0.300 0.700 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.4974 0.7976 0.764 0.236 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.3267 0.8393 0.884 0.116 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.6267 0.3944 0.548 0.452 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.4654 0.7978 0.792 0.208 0.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.5529 0.7374 0.704 0.296 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.4235 0.8348 0.824 0.176 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.1289 0.7847 0.032 0.968 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.7891 0.000 1.000 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.0237 0.7916 0.004 0.996 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.5497 0.7431 0.708 0.292 0.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0592 0.7826 0.988 0.000 0.012
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0592 0.7826 0.988 0.000 0.012
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.2066 0.8239 0.940 0.060 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.1643 0.8174 0.956 0.044 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.2165 0.8259 0.936 0.064 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0237 0.7911 0.004 0.996 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 0.8731 0.000 0.000 1.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 1 0.5529 0.7394 0.704 0.296 0.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0592 0.7826 0.988 0.000 0.012
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.3752 0.7292 0.144 0.856 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.3551 0.8390 0.868 0.132 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.3267 0.8397 0.884 0.116 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.0237 0.7916 0.004 0.996 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.8731 0.000 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.5618 0.6879 0.008 0.260 0.732
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0592 0.7913 0.012 0.988 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.5760 0.4133 0.328 0.672 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.4346 0.6079 0.816 0.000 0.184
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.6286 -0.0567 0.464 0.536 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.3482 0.8388 0.872 0.128 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0237 0.7911 0.004 0.996 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.1129 0.8003 0.976 0.020 0.004
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.8731 0.000 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 1 0.6204 0.5162 0.576 0.424 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.4842 0.8058 0.776 0.224 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.7891 0.000 1.000 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.3752 0.7292 0.144 0.856 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0237 0.7863 0.996 0.000 0.004
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0592 0.7826 0.988 0.000 0.012
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.4121 0.8376 0.832 0.168 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.5465 0.7479 0.712 0.288 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.5882 0.6438 0.652 0.348 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.5591 0.7226 0.696 0.304 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.6255 0.7059 0.776 0.112 0.112
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.7891 0.000 1.000 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.5905 0.3473 0.352 0.648 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.2356 0.8293 0.928 0.072 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.4473 0.8294 0.828 0.164 0.008
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.4555 0.8255 0.800 0.200 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.3482 0.8421 0.872 0.128 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0804 0.83726 0.012 0.980 0.000 0.008
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.4387 0.61736 0.804 0.144 0.000 0.052
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.4100 0.62166 0.816 0.148 0.000 0.036
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.1584 0.83523 0.036 0.952 0.000 0.012
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.7282 -0.04437 0.436 0.416 0.000 0.148
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.5590 0.10408 0.456 0.524 0.000 0.020
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.1854 0.82154 0.012 0.940 0.000 0.048
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.4387 0.61736 0.804 0.144 0.000 0.052
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.4605 0.59096 0.800 0.108 0.000 0.092
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.2563 0.65973 0.908 0.072 0.000 0.020
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.2944 0.64451 0.868 0.004 0.000 0.128
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.82843 0.000 0.000 1.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 4 0.5280 0.81775 0.156 0.000 0.096 0.748
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 4 0.5280 0.81775 0.156 0.000 0.096 0.748
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.4996 -0.06839 0.516 0.000 0.000 0.484
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.1356 0.83907 0.032 0.960 0.000 0.008
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.2665 0.78268 0.008 0.900 0.004 0.088
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.3143 0.66194 0.876 0.024 0.000 0.100
#> 851B9B77-547A-43CC-B939-428E0A26C67C 1 0.6055 0.36551 0.576 0.372 0.000 0.052
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.3384 0.77456 0.116 0.860 0.000 0.024
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.5423 0.46771 0.332 0.640 0.000 0.028
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.82843 0.000 0.000 1.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.4328 0.54355 0.748 0.008 0.000 0.244
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.5309 0.59207 0.744 0.164 0.000 0.092
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0804 0.83726 0.012 0.980 0.000 0.008
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.2542 0.65993 0.904 0.012 0.000 0.084
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.1151 0.82979 0.008 0.968 0.000 0.024
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.7276 -0.00359 0.448 0.404 0.000 0.148
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 0.82843 0.000 0.000 1.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.3219 0.61630 0.836 0.000 0.000 0.164
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.82843 0.000 0.000 1.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.3679 0.67082 0.856 0.060 0.000 0.084
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.6407 0.40336 0.648 0.204 0.000 0.148
#> AA838488-4A13-4998-B261-91590113F37D 1 0.4621 0.48106 0.708 0.008 0.000 0.284
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.5823 0.58295 0.704 0.120 0.000 0.176
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 1 0.3749 0.63230 0.840 0.128 0.000 0.032
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.3942 0.54659 0.764 0.000 0.000 0.236
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.1624 0.66232 0.952 0.028 0.000 0.020
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.4565 0.62463 0.796 0.140 0.000 0.064
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.7269 0.02286 0.456 0.396 0.000 0.148
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.6828 0.47002 0.172 0.164 0.648 0.016
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 1 0.5985 0.38040 0.596 0.352 0.000 0.052
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.4149 0.62829 0.804 0.028 0.000 0.168
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.4399 0.56952 0.760 0.016 0.000 0.224
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.5942 0.19184 0.412 0.548 0.000 0.040
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.1004 0.83146 0.004 0.972 0.000 0.024
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.5077 0.60567 0.760 0.080 0.000 0.160
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0927 0.83396 0.008 0.976 0.000 0.016
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.3931 0.63200 0.832 0.128 0.000 0.040
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.4059 0.59192 0.788 0.012 0.000 0.200
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 1 0.5865 0.29392 0.552 0.412 0.000 0.036
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.6726 0.32652 0.584 0.292 0.000 0.124
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.2399 0.66657 0.920 0.032 0.000 0.048
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.4840 0.65575 0.028 0.240 0.732 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.1488 0.83296 0.012 0.956 0.000 0.032
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.4673 0.61952 0.792 0.076 0.000 0.132
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.5088 0.56092 0.288 0.688 0.000 0.024
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.3942 0.54659 0.764 0.000 0.000 0.236
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0895 0.83894 0.020 0.976 0.000 0.004
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0895 0.83894 0.020 0.976 0.000 0.004
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.1004 0.83146 0.004 0.972 0.000 0.024
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.2773 0.64827 0.900 0.072 0.000 0.028
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.2402 0.81210 0.076 0.912 0.000 0.012
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.5594 0.60026 0.716 0.092 0.000 0.192
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.2676 0.66007 0.896 0.012 0.000 0.092
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.4998 -0.08077 0.512 0.000 0.000 0.488
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.7282 -0.04437 0.436 0.416 0.000 0.148
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.2699 0.65908 0.904 0.068 0.000 0.028
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.1004 0.83146 0.004 0.972 0.000 0.024
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0657 0.83759 0.012 0.984 0.000 0.004
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.3796 0.65209 0.848 0.056 0.000 0.096
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.6569 0.02828 0.068 0.520 0.408 0.004
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.3688 0.58046 0.792 0.000 0.000 0.208
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.82843 0.000 0.000 1.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.1610 0.66505 0.952 0.016 0.000 0.032
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.4122 0.54654 0.760 0.004 0.000 0.236
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 1 0.5865 0.29392 0.552 0.412 0.000 0.036
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.1733 0.66650 0.948 0.024 0.000 0.028
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.1975 0.66747 0.936 0.016 0.000 0.048
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.2670 0.67099 0.904 0.024 0.000 0.072
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 4 0.5280 0.81775 0.156 0.000 0.096 0.748
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.1820 0.66548 0.944 0.020 0.000 0.036
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.82843 0.000 0.000 1.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.6102 0.54278 0.672 0.116 0.000 0.212
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.1854 0.83227 0.048 0.940 0.000 0.012
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.4274 0.64325 0.820 0.072 0.000 0.108
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 1 0.5579 0.51643 0.688 0.252 0.000 0.060
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.2101 0.81454 0.012 0.928 0.000 0.060
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.2363 0.65754 0.920 0.056 0.000 0.024
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 3 0.4872 0.65173 0.028 0.244 0.728 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.1284 0.83215 0.012 0.964 0.000 0.024
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0895 0.83100 0.004 0.976 0.000 0.020
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.3342 0.65156 0.868 0.032 0.000 0.100
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.2922 0.76440 0.008 0.884 0.004 0.104
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.1854 0.82154 0.012 0.940 0.000 0.048
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.6216 0.47200 0.652 0.240 0.000 0.108
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.6330 0.40517 0.656 0.200 0.000 0.144
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0804 0.83726 0.012 0.980 0.000 0.008
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.4998 -0.08077 0.512 0.000 0.000 0.488
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.2281 0.64923 0.904 0.000 0.000 0.096
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.82843 0.000 0.000 1.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.4998 -0.08077 0.512 0.000 0.000 0.488
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.4248 0.57429 0.768 0.012 0.000 0.220
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.5088 0.56092 0.288 0.688 0.000 0.024
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.5309 0.57788 0.000 0.744 0.164 0.092
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.4332 0.59850 0.792 0.176 0.000 0.032
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.1584 0.83523 0.036 0.952 0.000 0.012
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.3117 0.64897 0.880 0.028 0.000 0.092
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.1807 0.82769 0.052 0.940 0.000 0.008
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.4998 -0.08077 0.512 0.000 0.000 0.488
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.4996 -0.06839 0.516 0.000 0.000 0.484
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.3052 0.64355 0.860 0.004 0.000 0.136
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.5728 0.36607 0.364 0.600 0.000 0.036
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.2179 0.81802 0.064 0.924 0.000 0.012
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.3143 0.66194 0.876 0.024 0.000 0.100
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.3486 0.65051 0.864 0.044 0.000 0.092
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.3384 0.77456 0.116 0.860 0.000 0.024
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.3356 0.60591 0.824 0.000 0.000 0.176
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.3356 0.60591 0.824 0.000 0.000 0.176
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.4426 0.59076 0.772 0.024 0.000 0.204
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.1389 0.83210 0.048 0.952 0.000 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.3196 0.64675 0.856 0.008 0.000 0.136
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 4 0.7286 0.55939 0.372 0.080 0.028 0.520
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.3934 0.63364 0.836 0.116 0.000 0.048
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.3149 0.65655 0.880 0.088 0.000 0.032
#> 57787823-A815-4783-930C-A5752E48FFBA 1 0.5472 0.49508 0.676 0.280 0.000 0.044
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.4468 0.56062 0.752 0.016 0.000 0.232
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 3 0.8266 0.21579 0.212 0.328 0.436 0.024
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.1174 0.66197 0.968 0.012 0.000 0.020
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.5302 0.60425 0.004 0.752 0.164 0.080
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.4399 0.56952 0.760 0.016 0.000 0.224
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.5691 0.03064 0.468 0.508 0.000 0.024
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.5614 0.43962 0.336 0.628 0.000 0.036
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.2489 0.65750 0.912 0.068 0.000 0.020
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.3105 0.63858 0.856 0.004 0.000 0.140
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.6407 0.40336 0.648 0.204 0.000 0.148
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.6102 0.54278 0.672 0.116 0.000 0.212
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.3749 0.63223 0.840 0.128 0.000 0.032
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.3080 0.65334 0.880 0.024 0.000 0.096
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.1938 0.82893 0.052 0.936 0.000 0.012
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0804 0.83726 0.012 0.980 0.000 0.008
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.1284 0.83215 0.012 0.964 0.000 0.024
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.3694 0.63385 0.844 0.124 0.000 0.032
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.4998 -0.08077 0.512 0.000 0.000 0.488
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.4998 -0.08077 0.512 0.000 0.000 0.488
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.4980 0.45195 0.680 0.016 0.000 0.304
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.3942 0.54659 0.764 0.000 0.000 0.236
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.4908 0.47410 0.692 0.016 0.000 0.292
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.1356 0.83868 0.032 0.960 0.000 0.008
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 0.82843 0.000 0.000 1.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 1 0.3749 0.63230 0.840 0.128 0.000 0.032
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.4998 -0.08077 0.512 0.000 0.000 0.488
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.3937 0.70622 0.188 0.800 0.000 0.012
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.2216 0.65072 0.908 0.000 0.000 0.092
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.4335 0.62671 0.796 0.036 0.000 0.168
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.1284 0.83215 0.012 0.964 0.000 0.024
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.82843 0.000 0.000 1.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.4840 0.65575 0.028 0.240 0.732 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.1767 0.83254 0.044 0.944 0.000 0.012
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.7283 -0.05309 0.432 0.420 0.000 0.148
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 4 0.5280 0.81775 0.156 0.000 0.096 0.748
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 1 0.5856 0.30563 0.556 0.408 0.000 0.036
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.2281 0.64923 0.904 0.000 0.000 0.096
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.1807 0.82769 0.052 0.940 0.000 0.008
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.4961 0.05780 0.552 0.000 0.000 0.448
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.82843 0.000 0.000 1.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 1 0.5172 0.51419 0.704 0.260 0.000 0.036
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.2282 0.66221 0.924 0.052 0.000 0.024
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0895 0.83894 0.020 0.976 0.000 0.004
#> CC008807-7264-4593-966F-104992B35873 2 0.3937 0.70622 0.188 0.800 0.000 0.012
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.4989 -0.02548 0.528 0.000 0.000 0.472
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.4998 -0.08077 0.512 0.000 0.000 0.488
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.2813 0.66287 0.896 0.024 0.000 0.080
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.3934 0.63364 0.836 0.116 0.000 0.048
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.5670 0.51256 0.720 0.152 0.000 0.128
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.4586 0.62380 0.796 0.136 0.000 0.068
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 4 0.7286 0.55939 0.372 0.080 0.028 0.520
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0895 0.83100 0.004 0.976 0.000 0.020
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.7192 0.06528 0.472 0.388 0.000 0.140
#> 67E92530-3B19-424C-B219-958A88909046 1 0.3837 0.56868 0.776 0.000 0.000 0.224
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.4656 0.62264 0.792 0.072 0.000 0.136
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.1833 0.66690 0.944 0.032 0.000 0.024
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.3581 0.65188 0.852 0.032 0.000 0.116
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0162 0.7673 0.000 0.996 0.000 0.000 0.004
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.4913 0.5732 0.024 0.132 0.000 0.752 0.092
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.4525 0.5874 0.012 0.132 0.000 0.772 0.084
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.1026 0.7627 0.004 0.968 0.000 0.004 0.024
#> EB246839-8CB3-4B57-985E-DCEE23692361 5 0.6612 0.8184 0.000 0.240 0.000 0.308 0.452
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.5566 -0.0956 0.004 0.520 0.000 0.416 0.060
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.3205 0.6789 0.004 0.816 0.000 0.004 0.176
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.4913 0.5732 0.024 0.132 0.000 0.752 0.092
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.4313 0.5156 0.012 0.028 0.000 0.752 0.208
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.3080 0.6403 0.008 0.060 0.000 0.872 0.060
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.2873 0.6058 0.120 0.000 0.000 0.860 0.020
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.8494 0.000 0.000 1.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.2889 0.2015 0.880 0.000 0.016 0.020 0.084
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.2889 0.2015 0.880 0.000 0.016 0.020 0.084
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.4307 0.4658 0.504 0.000 0.000 0.496 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.1662 0.7669 0.004 0.936 0.000 0.004 0.056
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.4268 0.5534 0.016 0.708 0.000 0.004 0.272
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 4 0.3825 0.6218 0.104 0.020 0.000 0.828 0.048
#> 851B9B77-547A-43CC-B939-428E0A26C67C 4 0.6584 0.0209 0.028 0.360 0.000 0.500 0.112
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.3279 0.6844 0.016 0.864 0.000 0.072 0.048
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.5608 0.2556 0.024 0.636 0.000 0.280 0.060
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.8494 0.000 0.000 1.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 4 0.3783 0.4350 0.252 0.000 0.000 0.740 0.008
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.5564 0.5456 0.060 0.148 0.000 0.712 0.080
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0162 0.7673 0.000 0.996 0.000 0.000 0.004
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.2554 0.6286 0.072 0.000 0.000 0.892 0.036
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.2170 0.7405 0.004 0.904 0.000 0.004 0.088
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 5 0.6590 0.8106 0.000 0.228 0.000 0.320 0.452
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 0.8494 0.000 0.000 1.000 0.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 4 0.3319 0.5680 0.160 0.000 0.000 0.820 0.020
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.8494 0.000 0.000 1.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.3490 0.6496 0.068 0.048 0.000 0.856 0.028
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.5278 -0.1988 0.004 0.040 0.000 0.536 0.420
#> AA838488-4A13-4998-B261-91590113F37D 4 0.4046 0.3200 0.296 0.000 0.000 0.696 0.008
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 4 0.6307 0.4387 0.168 0.128 0.000 0.644 0.060
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 4 0.3948 0.6038 0.004 0.112 0.000 0.808 0.076
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 4 0.3835 0.4501 0.244 0.000 0.000 0.744 0.012
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.1924 0.6393 0.008 0.004 0.000 0.924 0.064
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.5351 0.5633 0.036 0.132 0.000 0.724 0.108
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 5 0.6620 0.7995 0.000 0.228 0.000 0.336 0.436
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.6341 0.5072 0.012 0.156 0.648 0.152 0.032
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 4 0.6570 0.0542 0.032 0.340 0.000 0.520 0.108
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 4 0.4052 0.5746 0.176 0.016 0.000 0.784 0.024
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 4 0.4124 0.4727 0.232 0.008 0.000 0.744 0.016
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.6045 -0.0469 0.024 0.540 0.000 0.368 0.068
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.1991 0.7464 0.004 0.916 0.000 0.004 0.076
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 4 0.5240 0.5312 0.152 0.068 0.000 0.732 0.048
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.1282 0.7595 0.004 0.952 0.000 0.000 0.044
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.4069 0.6047 0.004 0.108 0.000 0.800 0.088
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 4 0.3455 0.5165 0.208 0.000 0.000 0.784 0.008
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 4 0.6030 0.0301 0.016 0.392 0.000 0.516 0.076
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.6129 -0.3679 0.004 0.112 0.000 0.476 0.408
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.2585 0.6358 0.036 0.004 0.000 0.896 0.064
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.4352 0.6611 0.000 0.236 0.732 0.012 0.020
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.1864 0.7499 0.004 0.924 0.000 0.004 0.068
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 4 0.4928 0.5569 0.116 0.060 0.000 0.764 0.060
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.5299 0.3772 0.020 0.684 0.000 0.232 0.064
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 4 0.3835 0.4501 0.244 0.000 0.000 0.744 0.012
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0290 0.7672 0.000 0.992 0.000 0.000 0.008
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0290 0.7672 0.000 0.992 0.000 0.000 0.008
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.1991 0.7464 0.004 0.916 0.000 0.004 0.076
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.2746 0.6138 0.008 0.008 0.000 0.872 0.112
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.2237 0.7312 0.004 0.916 0.000 0.040 0.040
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 4 0.5655 0.5051 0.192 0.088 0.000 0.684 0.036
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.2595 0.6320 0.080 0.000 0.000 0.888 0.032
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.4306 0.4774 0.508 0.000 0.000 0.492 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 5 0.6612 0.8184 0.000 0.240 0.000 0.308 0.452
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.3226 0.6372 0.016 0.060 0.000 0.868 0.056
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.1991 0.7464 0.004 0.916 0.000 0.004 0.076
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0290 0.7675 0.000 0.992 0.000 0.000 0.008
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.4049 0.6133 0.080 0.040 0.000 0.824 0.056
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.5922 0.0457 0.000 0.516 0.408 0.048 0.028
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.3496 0.5226 0.200 0.000 0.000 0.788 0.012
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.8494 0.000 0.000 1.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.1865 0.6495 0.024 0.008 0.000 0.936 0.032
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 4 0.3934 0.4465 0.244 0.000 0.000 0.740 0.016
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 4 0.6030 0.0301 0.016 0.392 0.000 0.516 0.076
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.1967 0.6501 0.020 0.012 0.000 0.932 0.036
#> 3E070741-BBA0-4806-8D74-08595E249252 4 0.2067 0.6487 0.044 0.004 0.000 0.924 0.028
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.3100 0.6536 0.064 0.020 0.000 0.876 0.040
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.2889 0.2015 0.880 0.000 0.016 0.020 0.084
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.2060 0.6483 0.016 0.008 0.000 0.924 0.052
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.8494 0.000 0.000 1.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 4 0.6539 0.3612 0.204 0.124 0.000 0.612 0.060
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.1356 0.7599 0.004 0.956 0.000 0.012 0.028
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.4563 0.5959 0.092 0.056 0.000 0.792 0.060
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 4 0.6262 0.3613 0.036 0.240 0.000 0.612 0.112
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.3352 0.6607 0.004 0.800 0.000 0.004 0.192
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.2477 0.6277 0.008 0.008 0.000 0.892 0.092
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 3 0.4380 0.6566 0.000 0.240 0.728 0.012 0.020
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.2352 0.7399 0.004 0.896 0.000 0.008 0.092
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.1443 0.7577 0.004 0.948 0.000 0.004 0.044
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.3461 0.6176 0.068 0.008 0.000 0.848 0.076
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.4848 0.3202 0.024 0.556 0.000 0.000 0.420
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.3205 0.6789 0.004 0.816 0.000 0.004 0.176
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.6593 0.1389 0.024 0.228 0.000 0.564 0.184
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.5206 -0.1731 0.004 0.036 0.000 0.544 0.416
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0162 0.7673 0.000 0.996 0.000 0.000 0.004
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.4306 0.4774 0.508 0.000 0.000 0.492 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.2726 0.6233 0.064 0.000 0.000 0.884 0.052
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.8494 0.000 0.000 1.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.4306 0.4774 0.508 0.000 0.000 0.492 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 4 0.3642 0.4797 0.232 0.000 0.000 0.760 0.008
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.5299 0.3772 0.020 0.684 0.000 0.232 0.064
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.6712 -0.2236 0.024 0.420 0.128 0.000 0.428
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.4803 0.5498 0.008 0.144 0.000 0.744 0.104
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.1026 0.7627 0.004 0.968 0.000 0.004 0.024
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.3307 0.6163 0.024 0.012 0.000 0.848 0.116
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.1469 0.7531 0.000 0.948 0.000 0.016 0.036
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.4306 0.4774 0.508 0.000 0.000 0.492 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.4307 0.4658 0.504 0.000 0.000 0.496 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.3165 0.6042 0.116 0.000 0.000 0.848 0.036
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.5908 0.1638 0.032 0.596 0.000 0.312 0.060
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.1901 0.7423 0.004 0.932 0.000 0.024 0.040
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 4 0.3825 0.6218 0.104 0.020 0.000 0.828 0.048
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.3561 0.6154 0.060 0.012 0.000 0.844 0.084
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.3279 0.6844 0.016 0.864 0.000 0.072 0.048
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 4 0.3319 0.5636 0.160 0.000 0.000 0.820 0.020
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.3319 0.5636 0.160 0.000 0.000 0.820 0.020
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 4 0.3873 0.5119 0.212 0.012 0.000 0.768 0.008
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.1211 0.7592 0.000 0.960 0.000 0.016 0.024
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 4 0.3513 0.6138 0.132 0.004 0.000 0.828 0.036
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.6522 0.3357 0.596 0.064 0.000 0.248 0.092
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.4144 0.6050 0.008 0.100 0.000 0.800 0.092
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.3634 0.6304 0.020 0.080 0.000 0.844 0.056
#> 57787823-A815-4783-930C-A5752E48FFBA 4 0.5702 0.3693 0.024 0.276 0.000 0.632 0.068
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 4 0.4181 0.4562 0.240 0.008 0.000 0.736 0.016
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 3 0.7788 0.1625 0.024 0.320 0.436 0.180 0.040
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.1682 0.6413 0.012 0.004 0.000 0.940 0.044
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.6685 0.2174 0.020 0.504 0.128 0.004 0.344
#> B11753A0-829F-4913-B894-F07A53FF1C92 4 0.4025 0.4772 0.232 0.008 0.000 0.748 0.012
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.5728 -0.1643 0.004 0.500 0.000 0.424 0.072
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.5783 0.2369 0.032 0.624 0.000 0.284 0.060
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.2945 0.6378 0.008 0.056 0.000 0.880 0.056
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.2825 0.6047 0.124 0.000 0.000 0.860 0.016
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.5278 -0.1988 0.004 0.040 0.000 0.536 0.420
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 4 0.6539 0.3612 0.204 0.124 0.000 0.612 0.060
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.4070 0.6028 0.008 0.112 0.000 0.804 0.076
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.3241 0.6200 0.028 0.012 0.000 0.856 0.104
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.2644 0.7506 0.008 0.896 0.000 0.036 0.060
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0162 0.7673 0.000 0.996 0.000 0.000 0.004
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.2352 0.7399 0.004 0.896 0.000 0.008 0.092
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.4021 0.6048 0.008 0.108 0.000 0.808 0.076
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.4306 0.4774 0.508 0.000 0.000 0.492 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.4306 0.4774 0.508 0.000 0.000 0.492 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 4 0.4617 0.2583 0.316 0.008 0.000 0.660 0.016
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.3835 0.4501 0.244 0.000 0.000 0.744 0.012
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 4 0.4359 0.2984 0.304 0.008 0.000 0.680 0.008
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.1443 0.7678 0.004 0.948 0.000 0.004 0.044
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 0.8494 0.000 0.000 1.000 0.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 4 0.3948 0.6038 0.004 0.112 0.000 0.808 0.076
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.4306 0.4774 0.508 0.000 0.000 0.492 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.4027 0.5771 0.012 0.800 0.000 0.144 0.044
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.2729 0.6241 0.060 0.000 0.000 0.884 0.056
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 4 0.4231 0.5701 0.176 0.020 0.000 0.776 0.028
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.2352 0.7399 0.004 0.896 0.000 0.008 0.092
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.8494 0.000 0.000 1.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.4352 0.6611 0.000 0.236 0.732 0.012 0.020
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.1267 0.7611 0.004 0.960 0.000 0.012 0.024
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 5 0.6627 0.8092 0.000 0.252 0.000 0.296 0.452
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.2889 0.2015 0.880 0.000 0.016 0.020 0.084
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.6023 0.0452 0.016 0.388 0.000 0.520 0.076
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.2726 0.6233 0.064 0.000 0.000 0.884 0.052
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.1469 0.7531 0.000 0.948 0.000 0.016 0.036
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 4 0.4287 -0.3654 0.460 0.000 0.000 0.540 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.8494 0.000 0.000 1.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 4 0.5461 0.3799 0.008 0.244 0.000 0.656 0.092
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.2917 0.6441 0.012 0.052 0.000 0.884 0.052
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0290 0.7672 0.000 0.992 0.000 0.000 0.008
#> CC008807-7264-4593-966F-104992B35873 2 0.4027 0.5771 0.012 0.800 0.000 0.144 0.044
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 4 0.4306 -0.4669 0.492 0.000 0.000 0.508 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.4306 0.4774 0.508 0.000 0.000 0.492 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.2804 0.6298 0.068 0.004 0.000 0.884 0.044
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.4144 0.6050 0.008 0.100 0.000 0.800 0.092
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.4915 0.3799 0.020 0.028 0.000 0.684 0.268
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.5351 0.5629 0.036 0.132 0.000 0.724 0.108
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.6522 0.3357 0.596 0.064 0.000 0.248 0.092
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.1443 0.7577 0.004 0.948 0.000 0.004 0.044
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 5 0.6811 0.7702 0.004 0.240 0.000 0.340 0.416
#> 67E92530-3B19-424C-B219-958A88909046 4 0.3671 0.4831 0.236 0.000 0.000 0.756 0.008
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.4892 0.5601 0.124 0.056 0.000 0.764 0.056
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.2297 0.6489 0.008 0.020 0.000 0.912 0.060
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.3792 0.6110 0.100 0.024 0.000 0.832 0.044
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0622 0.69093 0.000 0.980 0.000 0.000 0.012 0.008
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.5830 0.40440 0.000 0.132 0.000 0.508 0.016 0.344
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.5777 0.41510 0.000 0.124 0.000 0.512 0.016 0.348
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0806 0.69174 0.000 0.972 0.000 0.000 0.008 0.020
#> EB246839-8CB3-4B57-985E-DCEE23692361 6 0.5114 0.59146 0.000 0.188 0.000 0.064 0.060 0.688
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.5957 0.10764 0.004 0.524 0.000 0.280 0.008 0.184
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.4408 0.23304 0.000 0.656 0.000 0.000 0.292 0.052
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.5830 0.40440 0.000 0.132 0.000 0.508 0.016 0.344
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 6 0.4687 -0.07562 0.004 0.004 0.000 0.420 0.028 0.544
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.4938 0.49097 0.000 0.052 0.000 0.560 0.008 0.380
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.3788 0.58336 0.008 0.000 0.000 0.740 0.020 0.232
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.78474 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0790 0.73092 0.968 0.000 0.000 0.032 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0790 0.73092 0.968 0.000 0.000 0.032 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 4 0.3908 0.33032 0.244 0.000 0.000 0.724 0.004 0.028
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.1716 0.69117 0.000 0.932 0.000 0.004 0.028 0.036
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.4807 -0.28893 0.004 0.524 0.000 0.000 0.428 0.044
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 4 0.3888 0.58156 0.004 0.012 0.000 0.752 0.020 0.212
#> 851B9B77-547A-43CC-B939-428E0A26C67C 4 0.6510 0.00821 0.000 0.352 0.000 0.360 0.020 0.268
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.2915 0.63457 0.004 0.864 0.000 0.064 0.004 0.064
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.4997 0.39371 0.004 0.640 0.000 0.264 0.004 0.088
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.78474 0.000 0.000 1.000 0.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 4 0.1498 0.58484 0.028 0.000 0.000 0.940 0.000 0.032
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.5808 0.40488 0.004 0.128 0.000 0.552 0.016 0.300
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#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 4 0.3833 0.34947 0.232 0.000 0.000 0.736 0.004 0.028
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 4 0.3932 0.32396 0.248 0.000 0.000 0.720 0.004 0.028
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.3961 0.55515 0.008 0.000 0.000 0.700 0.016 0.276
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.5433 0.43854 0.000 0.088 0.000 0.524 0.012 0.376
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 6 0.4671 0.26488 0.008 0.000 0.000 0.344 0.040 0.608
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.5797 0.38964 0.000 0.132 0.000 0.544 0.020 0.304
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.5896 0.50166 0.604 0.052 0.000 0.236 0.004 0.104
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.1682 0.66513 0.000 0.928 0.000 0.000 0.052 0.020
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 6 0.5354 0.57723 0.000 0.212 0.000 0.084 0.048 0.656
#> 67E92530-3B19-424C-B219-958A88909046 4 0.1923 0.59149 0.016 0.000 0.000 0.916 0.004 0.064
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.5265 0.51668 0.040 0.044 0.000 0.640 0.008 0.268
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.4118 0.52501 0.000 0.008 0.000 0.592 0.004 0.396
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.4161 0.57110 0.004 0.020 0.000 0.720 0.016 0.240
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 17604 rows and 183 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 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 0.366 0.854 0.898 0.4529 0.505 0.505
#> 3 3 0.707 0.825 0.906 0.2977 0.854 0.728
#> 4 4 0.588 0.719 0.792 0.1936 0.756 0.491
#> 5 5 0.548 0.517 0.698 0.0881 0.830 0.520
#> 6 6 0.606 0.547 0.733 0.0543 0.852 0.490
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.5842 0.915 0.140 0.860
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.9795 0.512 0.416 0.584
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.9775 0.116 0.588 0.412
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.5946 0.917 0.144 0.856
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.5946 0.917 0.144 0.856
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.8267 0.806 0.260 0.740
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.5946 0.917 0.144 0.856
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.5294 0.813 0.880 0.120
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.935 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.9963 -0.118 0.536 0.464
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.935 1.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.7602 0.644 0.220 0.780
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.5842 0.790 0.860 0.140
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.5842 0.790 0.860 0.140
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0376 0.932 0.996 0.004
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.5946 0.917 0.144 0.856
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.5946 0.917 0.144 0.856
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 0.935 1.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.5946 0.917 0.144 0.856
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.5946 0.917 0.144 0.856
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.5946 0.917 0.144 0.856
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.7453 0.654 0.212 0.788
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.935 1.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.8763 0.506 0.704 0.296
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.5842 0.915 0.140 0.860
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.935 1.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.5946 0.917 0.144 0.856
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.5629 0.804 0.868 0.132
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.7602 0.644 0.220 0.780
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.935 1.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.3431 0.784 0.064 0.936
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 0.935 1.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.1633 0.915 0.976 0.024
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 0.935 1.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.2778 0.894 0.952 0.048
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.9129 0.704 0.328 0.672
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.935 1.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0000 0.935 1.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.2603 0.897 0.956 0.044
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.5519 0.803 0.872 0.128
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.8327 0.718 0.264 0.736
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.6048 0.914 0.148 0.852
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.935 1.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0000 0.935 1.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.5946 0.917 0.144 0.856
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.5946 0.917 0.144 0.856
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.0000 0.935 1.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.5946 0.917 0.144 0.856
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.6623 0.739 0.828 0.172
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.935 1.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.5946 0.917 0.144 0.856
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.9909 -0.024 0.556 0.444
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.935 1.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.0376 0.805 0.004 0.996
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.5946 0.917 0.144 0.856
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.5178 0.814 0.884 0.116
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.5946 0.917 0.144 0.856
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.935 1.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.5946 0.917 0.144 0.856
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.5946 0.917 0.144 0.856
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.5946 0.917 0.144 0.856
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0000 0.935 1.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.5946 0.917 0.144 0.856
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0000 0.935 1.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.935 1.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0376 0.932 0.996 0.004
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.8443 0.792 0.272 0.728
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.3733 0.869 0.928 0.072
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.5946 0.917 0.144 0.856
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.5946 0.917 0.144 0.856
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.935 1.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.5946 0.917 0.144 0.856
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0376 0.932 0.996 0.004
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.7602 0.644 0.220 0.780
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.935 1.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.935 1.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.5946 0.917 0.144 0.856
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0000 0.935 1.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.935 1.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.0000 0.935 1.000 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.5946 0.785 0.856 0.144
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.935 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.7602 0.644 0.220 0.780
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.0376 0.932 0.996 0.004
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.5946 0.917 0.144 0.856
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.935 1.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.6531 0.900 0.168 0.832
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.5946 0.917 0.144 0.856
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0000 0.935 1.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.0672 0.808 0.008 0.992
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.5946 0.917 0.144 0.856
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.5842 0.915 0.140 0.860
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.935 1.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.5946 0.917 0.144 0.856
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.5946 0.917 0.144 0.856
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.8713 0.764 0.292 0.708
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0000 0.935 1.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.5842 0.915 0.140 0.860
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0376 0.932 0.996 0.004
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.935 1.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 2 0.7602 0.644 0.220 0.780
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0376 0.932 0.996 0.004
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.935 1.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.5946 0.917 0.144 0.856
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0000 0.802 0.000 1.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.7602 0.656 0.780 0.220
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.5946 0.917 0.144 0.856
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0000 0.935 1.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.5946 0.917 0.144 0.856
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0376 0.932 0.996 0.004
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0376 0.932 0.996 0.004
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.935 1.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 1 0.9833 0.077 0.576 0.424
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.5946 0.917 0.144 0.856
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0000 0.935 1.000 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.935 1.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.5946 0.917 0.144 0.856
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0376 0.932 0.996 0.004
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0376 0.932 0.996 0.004
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.935 1.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.5946 0.917 0.144 0.856
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.935 1.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.7528 0.709 0.784 0.216
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.6438 0.752 0.836 0.164
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.0000 0.935 1.000 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 1 0.9983 -0.169 0.524 0.476
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0000 0.935 1.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.5946 0.917 0.144 0.856
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.935 1.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.4562 0.881 0.096 0.904
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.935 1.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.5946 0.917 0.144 0.856
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.8499 0.787 0.276 0.724
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.0000 0.935 1.000 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.935 1.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0376 0.932 0.996 0.004
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.1633 0.920 0.976 0.024
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.4690 0.838 0.900 0.100
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.935 1.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.5946 0.917 0.144 0.856
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.5842 0.915 0.140 0.860
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.5946 0.917 0.144 0.856
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.8267 0.577 0.740 0.260
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0376 0.932 0.996 0.004
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0376 0.932 0.996 0.004
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.0376 0.932 0.996 0.004
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.935 1.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 0.935 1.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.5946 0.917 0.144 0.856
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.7602 0.644 0.220 0.780
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.8713 0.764 0.292 0.708
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0376 0.932 0.996 0.004
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.5946 0.917 0.144 0.856
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.935 1.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.0000 0.935 1.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.8443 0.792 0.272 0.728
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.7602 0.644 0.220 0.780
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.7376 0.659 0.208 0.792
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.5946 0.917 0.144 0.856
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.8661 0.770 0.288 0.712
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.5842 0.790 0.860 0.140
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.8499 0.786 0.276 0.724
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.935 1.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.5946 0.917 0.144 0.856
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.935 1.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.0000 0.802 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.5946 0.917 0.144 0.856
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.0672 0.929 0.992 0.008
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.5946 0.917 0.144 0.856
#> CC008807-7264-4593-966F-104992B35873 2 0.5946 0.917 0.144 0.856
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0376 0.932 0.996 0.004
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0376 0.932 0.996 0.004
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.935 1.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.0672 0.929 0.992 0.008
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0376 0.932 0.996 0.004
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.6531 0.745 0.832 0.168
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.7528 0.726 0.784 0.216
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.5842 0.915 0.140 0.860
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.8443 0.792 0.272 0.728
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.935 1.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.935 1.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.935 1.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0000 0.935 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.3551 0.850 0.000 0.868 0.132
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.1585 0.845 0.028 0.964 0.008
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.6102 0.396 0.320 0.672 0.008
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.3412 0.853 0.000 0.876 0.124
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.1620 0.845 0.024 0.964 0.012
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.1163 0.847 0.028 0.972 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.1643 0.864 0.000 0.956 0.044
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.3918 0.854 0.856 0.140 0.004
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.3607 0.875 0.880 0.112 0.008
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.6104 0.345 0.348 0.648 0.004
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0592 0.916 0.988 0.000 0.012
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.1399 0.813 0.004 0.028 0.968
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 3 0.6126 0.381 0.400 0.000 0.600
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 3 0.6126 0.381 0.400 0.000 0.600
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.1031 0.914 0.976 0.000 0.024
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.3482 0.851 0.000 0.872 0.128
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.3340 0.853 0.000 0.880 0.120
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.2063 0.910 0.948 0.044 0.008
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.1267 0.849 0.024 0.972 0.004
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.3551 0.850 0.000 0.868 0.132
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.1482 0.860 0.012 0.968 0.020
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.1399 0.813 0.004 0.028 0.968
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0747 0.916 0.984 0.000 0.016
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.6308 0.181 0.508 0.492 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.3551 0.850 0.000 0.868 0.132
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.1129 0.914 0.976 0.020 0.004
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.1643 0.864 0.000 0.956 0.044
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.5012 0.780 0.788 0.204 0.008
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.1337 0.805 0.012 0.016 0.972
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.1031 0.914 0.976 0.000 0.024
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.1399 0.813 0.004 0.028 0.968
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.3715 0.864 0.868 0.128 0.004
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.1751 0.913 0.960 0.028 0.012
#> AA838488-4A13-4998-B261-91590113F37D 1 0.1031 0.914 0.976 0.000 0.024
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.3965 0.861 0.860 0.132 0.008
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.1399 0.844 0.028 0.968 0.004
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.1031 0.914 0.976 0.000 0.024
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.3784 0.861 0.864 0.132 0.004
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.3896 0.861 0.864 0.128 0.008
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.4963 0.785 0.792 0.200 0.008
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.6432 0.122 0.004 0.428 0.568
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.1267 0.849 0.024 0.972 0.004
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.1878 0.909 0.952 0.044 0.004
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.1647 0.912 0.960 0.036 0.004
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.1267 0.849 0.024 0.972 0.004
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.1643 0.864 0.000 0.956 0.044
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.0892 0.915 0.980 0.000 0.020
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.3482 0.851 0.000 0.872 0.128
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.5109 0.769 0.780 0.212 0.008
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0892 0.915 0.980 0.000 0.020
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.1643 0.864 0.000 0.956 0.044
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 2 0.6155 0.347 0.328 0.664 0.008
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.1170 0.914 0.976 0.016 0.008
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.6192 0.145 0.000 0.420 0.580
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.3551 0.850 0.000 0.868 0.132
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.1267 0.913 0.972 0.004 0.024
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.1170 0.859 0.008 0.976 0.016
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.1031 0.914 0.976 0.000 0.024
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.3551 0.850 0.000 0.868 0.132
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.3551 0.850 0.000 0.868 0.132
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0424 0.859 0.000 0.992 0.008
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.3965 0.861 0.860 0.132 0.008
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0747 0.861 0.000 0.984 0.016
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.3644 0.869 0.872 0.124 0.004
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0892 0.915 0.980 0.000 0.020
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.1031 0.914 0.976 0.000 0.024
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.1620 0.845 0.024 0.964 0.012
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.3918 0.854 0.856 0.140 0.004
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.3340 0.853 0.000 0.880 0.120
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.3551 0.850 0.000 0.868 0.132
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0892 0.915 0.980 0.000 0.020
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.3482 0.851 0.000 0.872 0.128
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.1031 0.914 0.976 0.000 0.024
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.1399 0.813 0.004 0.028 0.968
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.3500 0.871 0.880 0.116 0.004
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.1031 0.914 0.976 0.000 0.024
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.1860 0.864 0.000 0.948 0.052
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.3784 0.861 0.864 0.132 0.004
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.1129 0.915 0.976 0.020 0.004
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.3715 0.864 0.868 0.128 0.004
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 3 0.4235 0.706 0.176 0.000 0.824
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0661 0.916 0.988 0.008 0.004
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.1399 0.813 0.004 0.028 0.968
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.1585 0.914 0.964 0.028 0.008
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.3551 0.850 0.000 0.868 0.132
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.1878 0.907 0.952 0.044 0.004
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.1525 0.845 0.032 0.964 0.004
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.3340 0.853 0.000 0.880 0.120
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.3965 0.861 0.860 0.132 0.008
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.5948 0.523 0.000 0.640 0.360
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.1643 0.864 0.000 0.956 0.044
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.3482 0.851 0.000 0.872 0.128
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.1031 0.915 0.976 0.000 0.024
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.3340 0.853 0.000 0.880 0.120
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.1643 0.864 0.000 0.956 0.044
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.1585 0.845 0.028 0.964 0.008
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.3755 0.869 0.872 0.120 0.008
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.3551 0.850 0.000 0.868 0.132
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.1031 0.914 0.976 0.000 0.024
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.1031 0.915 0.976 0.000 0.024
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.1399 0.813 0.004 0.028 0.968
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.1031 0.914 0.976 0.000 0.024
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0892 0.915 0.980 0.000 0.020
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.1031 0.849 0.024 0.976 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.6274 0.296 0.000 0.544 0.456
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.5517 0.489 0.268 0.728 0.004
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.1753 0.864 0.000 0.952 0.048
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.3213 0.885 0.900 0.092 0.008
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.3551 0.850 0.000 0.868 0.132
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.1031 0.914 0.976 0.000 0.024
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.1031 0.914 0.976 0.000 0.024
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0892 0.915 0.980 0.000 0.020
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.1031 0.849 0.024 0.976 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.3482 0.851 0.000 0.872 0.128
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.2063 0.910 0.948 0.044 0.008
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0848 0.915 0.984 0.008 0.008
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.1267 0.862 0.004 0.972 0.024
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.1031 0.914 0.976 0.000 0.024
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.1163 0.912 0.972 0.000 0.028
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.1636 0.916 0.964 0.020 0.016
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.3551 0.850 0.000 0.868 0.132
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0892 0.915 0.980 0.000 0.020
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.6698 0.498 0.684 0.036 0.280
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.4883 0.775 0.788 0.208 0.004
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.3193 0.881 0.896 0.100 0.004
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.5465 0.453 0.288 0.712 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0892 0.915 0.980 0.000 0.020
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.3551 0.850 0.000 0.868 0.132
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.1170 0.914 0.976 0.016 0.008
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.3482 0.851 0.000 0.872 0.128
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0892 0.915 0.980 0.000 0.020
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0892 0.851 0.020 0.980 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.1031 0.849 0.024 0.976 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.3784 0.861 0.864 0.132 0.004
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0747 0.916 0.984 0.000 0.016
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.1620 0.914 0.964 0.024 0.012
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.2550 0.904 0.932 0.056 0.012
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.4733 0.790 0.800 0.196 0.004
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.1170 0.914 0.976 0.016 0.008
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.1643 0.864 0.000 0.956 0.044
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.3482 0.851 0.000 0.872 0.128
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.0983 0.851 0.016 0.980 0.004
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.5982 0.382 0.328 0.668 0.004
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.1031 0.914 0.976 0.000 0.024
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.1031 0.914 0.976 0.000 0.024
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.1031 0.914 0.976 0.000 0.024
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.1399 0.913 0.968 0.028 0.004
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.1031 0.914 0.976 0.000 0.024
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.3482 0.851 0.000 0.872 0.128
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.1399 0.813 0.004 0.028 0.968
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.1399 0.844 0.028 0.968 0.004
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.1031 0.914 0.976 0.000 0.024
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.3551 0.850 0.000 0.868 0.132
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.1170 0.914 0.976 0.016 0.008
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.3644 0.869 0.872 0.124 0.004
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.1267 0.847 0.024 0.972 0.004
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.1399 0.813 0.004 0.028 0.968
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.4575 0.657 0.004 0.184 0.812
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.1129 0.851 0.020 0.976 0.004
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.2116 0.831 0.040 0.948 0.012
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 3 0.6126 0.381 0.400 0.000 0.600
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.1399 0.844 0.028 0.968 0.004
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.1031 0.914 0.976 0.000 0.024
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.3482 0.851 0.000 0.872 0.128
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.1031 0.914 0.976 0.000 0.024
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.1411 0.807 0.000 0.036 0.964
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.0892 0.851 0.020 0.980 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.3784 0.861 0.864 0.132 0.004
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.3551 0.850 0.000 0.868 0.132
#> CC008807-7264-4593-966F-104992B35873 2 0.3551 0.850 0.000 0.868 0.132
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.1031 0.914 0.976 0.000 0.024
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.1031 0.914 0.976 0.000 0.024
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.2384 0.903 0.936 0.056 0.008
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.3784 0.861 0.864 0.132 0.004
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.1031 0.915 0.976 0.000 0.024
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.5061 0.769 0.784 0.208 0.008
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.5896 0.529 0.700 0.008 0.292
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.3482 0.851 0.000 0.872 0.128
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.1585 0.845 0.028 0.964 0.008
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0892 0.915 0.980 0.000 0.020
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0892 0.915 0.980 0.000 0.020
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.3573 0.869 0.876 0.120 0.004
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0747 0.916 0.984 0.000 0.016
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.1940 0.8633 0.000 0.924 0.000 0.076
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.2944 0.6969 0.004 0.128 0.000 0.868
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.2483 0.7615 0.032 0.052 0.000 0.916
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.2011 0.8628 0.000 0.920 0.000 0.080
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.3306 0.6692 0.000 0.156 0.004 0.840
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.5507 0.3389 0.008 0.568 0.008 0.416
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.1792 0.8584 0.000 0.932 0.000 0.068
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.2773 0.7884 0.116 0.004 0.000 0.880
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.3448 0.7767 0.168 0.000 0.004 0.828
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.3004 0.7772 0.048 0.060 0.000 0.892
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.3448 0.7350 0.828 0.000 0.004 0.168
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0469 0.9657 0.000 0.012 0.988 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.5110 0.4042 0.656 0.000 0.328 0.016
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.5110 0.4042 0.656 0.000 0.328 0.016
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.8086 1.000 0.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0188 0.8635 0.000 0.996 0.000 0.004
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.1867 0.8576 0.000 0.928 0.000 0.072
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.4500 0.4199 0.684 0.000 0.000 0.316
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.5266 0.5818 0.008 0.640 0.008 0.344
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.2456 0.8479 0.008 0.916 0.008 0.068
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.3575 0.7969 0.008 0.844 0.008 0.140
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0469 0.9657 0.000 0.012 0.988 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.2976 0.7887 0.872 0.000 0.008 0.120
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.5562 0.6872 0.072 0.176 0.012 0.740
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.1637 0.8633 0.000 0.940 0.000 0.060
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.4819 0.5652 0.344 0.000 0.004 0.652
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.1792 0.8584 0.000 0.932 0.000 0.068
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.2915 0.7841 0.088 0.016 0.004 0.892
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.1174 0.9584 0.000 0.012 0.968 0.020
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0469 0.8085 0.988 0.000 0.000 0.012
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0469 0.9657 0.000 0.012 0.988 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.5033 0.5584 0.324 0.004 0.008 0.664
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.4313 0.6569 0.260 0.000 0.004 0.736
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0817 0.8034 0.976 0.000 0.000 0.024
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 4 0.5693 0.3201 0.368 0.020 0.008 0.604
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 4 0.3356 0.6705 0.000 0.176 0.000 0.824
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.1940 0.7956 0.924 0.000 0.000 0.076
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.3172 0.7814 0.160 0.000 0.000 0.840
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.3585 0.7496 0.164 0.004 0.004 0.828
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.2922 0.7862 0.104 0.008 0.004 0.884
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.6567 0.0162 0.008 0.480 0.456 0.056
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.5170 0.6151 0.008 0.660 0.008 0.324
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.5040 0.3906 0.628 0.000 0.008 0.364
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.4511 0.6425 0.724 0.000 0.008 0.268
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.5016 0.5519 0.000 0.600 0.004 0.396
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.1637 0.8608 0.000 0.940 0.000 0.060
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.3109 0.7944 0.880 0.016 0.004 0.100
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0817 0.8644 0.000 0.976 0.000 0.024
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.2891 0.7862 0.080 0.020 0.004 0.896
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.1902 0.8042 0.932 0.000 0.004 0.064
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.1792 0.8609 0.000 0.932 0.000 0.068
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.3538 0.7604 0.044 0.084 0.004 0.868
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.5004 0.4634 0.392 0.000 0.004 0.604
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.5560 0.2895 0.000 0.584 0.392 0.024
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.1302 0.8651 0.000 0.956 0.000 0.044
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.5113 0.7291 0.748 0.040 0.008 0.204
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.2380 0.8457 0.008 0.920 0.008 0.064
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.2011 0.7940 0.920 0.000 0.000 0.080
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.1389 0.8605 0.000 0.952 0.000 0.048
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.1389 0.8605 0.000 0.952 0.000 0.048
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.2530 0.8403 0.000 0.888 0.000 0.112
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.3257 0.7831 0.152 0.000 0.004 0.844
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.1890 0.8524 0.000 0.936 0.008 0.056
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.5463 0.0274 0.500 0.004 0.008 0.488
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.3494 0.7317 0.824 0.000 0.004 0.172
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0188 0.8084 0.996 0.000 0.000 0.004
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.3074 0.6750 0.000 0.152 0.000 0.848
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.3335 0.7883 0.120 0.020 0.000 0.860
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.1474 0.8625 0.000 0.948 0.000 0.052
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.1211 0.8670 0.000 0.960 0.000 0.040
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.3681 0.7335 0.816 0.000 0.008 0.176
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.0817 0.8653 0.000 0.976 0.000 0.024
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0469 0.8085 0.988 0.000 0.000 0.012
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0469 0.9657 0.000 0.012 0.988 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.3400 0.7708 0.180 0.000 0.000 0.820
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.2125 0.8000 0.920 0.000 0.004 0.076
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0592 0.8642 0.000 0.984 0.000 0.016
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.3157 0.7821 0.144 0.004 0.000 0.852
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.4746 0.3503 0.632 0.000 0.000 0.368
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.3306 0.7818 0.156 0.004 0.000 0.840
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.5323 0.3500 0.628 0.000 0.352 0.020
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.5165 0.1927 0.484 0.000 0.004 0.512
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0469 0.9657 0.000 0.012 0.988 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.4339 0.6369 0.764 0.004 0.008 0.224
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.1474 0.8595 0.000 0.948 0.000 0.052
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.4262 0.7158 0.236 0.000 0.008 0.756
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 4 0.4850 0.4771 0.008 0.292 0.004 0.696
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.1637 0.8608 0.000 0.940 0.000 0.060
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.3391 0.7848 0.148 0.004 0.004 0.844
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.5827 0.4398 0.000 0.632 0.316 0.052
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.1792 0.8584 0.000 0.932 0.000 0.068
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.1389 0.8632 0.000 0.952 0.000 0.048
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.4343 0.6039 0.732 0.000 0.004 0.264
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.1867 0.8576 0.000 0.928 0.000 0.072
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.1792 0.8584 0.000 0.932 0.000 0.068
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.2868 0.6870 0.000 0.136 0.000 0.864
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.3052 0.7830 0.136 0.000 0.004 0.860
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.1302 0.8679 0.000 0.956 0.000 0.044
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.8086 1.000 0.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.5165 -0.0921 0.512 0.000 0.004 0.484
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0469 0.9657 0.000 0.012 0.988 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0188 0.8084 0.996 0.000 0.000 0.004
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.1356 0.8031 0.960 0.000 0.008 0.032
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.3523 0.8002 0.008 0.848 0.008 0.136
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.4436 0.6741 0.000 0.764 0.216 0.020
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.2124 0.7699 0.028 0.040 0.000 0.932
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.2281 0.8592 0.000 0.904 0.000 0.096
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.3539 0.7725 0.176 0.000 0.004 0.820
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0921 0.8642 0.000 0.972 0.000 0.028
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0336 0.8080 0.992 0.000 0.000 0.008
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.8086 1.000 0.000 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.3494 0.7312 0.824 0.000 0.004 0.172
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.5060 0.6050 0.008 0.680 0.008 0.304
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.1256 0.8619 0.000 0.964 0.008 0.028
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.4972 -0.0197 0.544 0.000 0.000 0.456
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.5028 0.4437 0.400 0.000 0.004 0.596
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.2380 0.8457 0.008 0.920 0.008 0.064
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.8086 1.000 0.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0336 0.8080 0.992 0.000 0.000 0.008
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.3727 0.7612 0.824 0.004 0.008 0.164
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.1022 0.8635 0.000 0.968 0.000 0.032
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.3105 0.7704 0.856 0.000 0.004 0.140
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.6822 0.6254 0.696 0.092 0.120 0.092
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.4419 0.7710 0.116 0.056 0.008 0.820
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.3400 0.7717 0.180 0.000 0.000 0.820
#> 57787823-A815-4783-930C-A5752E48FFBA 4 0.5659 0.6157 0.052 0.240 0.008 0.700
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.1635 0.8016 0.948 0.000 0.008 0.044
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.4267 0.7488 0.008 0.772 0.004 0.216
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.4920 0.5166 0.368 0.000 0.004 0.628
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.1867 0.8576 0.000 0.928 0.000 0.072
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.1902 0.8047 0.932 0.000 0.004 0.064
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.4875 0.6227 0.004 0.692 0.008 0.296
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.3470 0.8025 0.008 0.852 0.008 0.132
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.3105 0.7823 0.140 0.004 0.000 0.856
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.3355 0.7417 0.836 0.000 0.004 0.160
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.4699 0.5637 0.320 0.000 0.004 0.676
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.4929 0.6097 0.736 0.020 0.008 0.236
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.3670 0.7866 0.100 0.032 0.008 0.860
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.5050 0.4273 0.408 0.000 0.004 0.588
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.1545 0.8670 0.000 0.952 0.008 0.040
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.1211 0.8647 0.000 0.960 0.000 0.040
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.2081 0.8560 0.000 0.916 0.000 0.084
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.3392 0.7758 0.056 0.072 0.000 0.872
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.8086 1.000 0.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0188 0.8084 0.996 0.000 0.000 0.004
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.1396 0.7990 0.960 0.004 0.004 0.032
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.4920 0.5208 0.368 0.000 0.004 0.628
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0707 0.8050 0.980 0.000 0.000 0.020
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0672 0.8633 0.000 0.984 0.008 0.008
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.1174 0.9584 0.000 0.012 0.968 0.020
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 4 0.4103 0.5533 0.000 0.256 0.000 0.744
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.8086 1.000 0.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.1557 0.8587 0.000 0.944 0.000 0.056
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.4950 0.5019 0.376 0.000 0.004 0.620
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.5463 0.0362 0.504 0.004 0.008 0.484
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.4746 0.4752 0.000 0.632 0.000 0.368
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0469 0.9657 0.000 0.012 0.988 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.5734 0.5661 0.008 0.272 0.676 0.044
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.4372 0.7354 0.000 0.728 0.004 0.268
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.2597 0.7331 0.008 0.084 0.004 0.904
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.5110 0.4042 0.656 0.000 0.328 0.016
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.3486 0.6637 0.000 0.188 0.000 0.812
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.3306 0.7461 0.840 0.000 0.004 0.156
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.1004 0.8634 0.000 0.972 0.004 0.024
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0336 0.8080 0.992 0.000 0.000 0.008
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0469 0.9657 0.000 0.012 0.988 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 4 0.4990 0.3875 0.000 0.352 0.008 0.640
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.3306 0.7818 0.156 0.004 0.000 0.840
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.1389 0.8605 0.000 0.952 0.000 0.048
#> CC008807-7264-4593-966F-104992B35873 2 0.2125 0.8527 0.000 0.920 0.004 0.076
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.8086 1.000 0.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.8086 1.000 0.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.3751 0.7585 0.196 0.000 0.004 0.800
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.3128 0.7824 0.128 0.004 0.004 0.864
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.5105 0.1414 0.564 0.000 0.004 0.432
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.2845 0.7788 0.076 0.028 0.000 0.896
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.5611 0.6599 0.764 0.036 0.128 0.072
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.1118 0.8654 0.000 0.964 0.000 0.036
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.3219 0.6619 0.000 0.164 0.000 0.836
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0336 0.8080 0.992 0.000 0.000 0.008
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.3852 0.7383 0.800 0.000 0.008 0.192
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.3219 0.7793 0.164 0.000 0.000 0.836
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.3992 0.7410 0.800 0.004 0.008 0.188
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.3318 0.7765 0.000 0.800 0.000 0.008 0.192
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.2616 0.5289 0.000 0.036 0.000 0.888 0.076
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.2482 0.5186 0.000 0.024 0.000 0.892 0.084
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.3388 0.7740 0.000 0.792 0.000 0.008 0.200
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.6100 0.1527 0.000 0.132 0.000 0.500 0.368
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 4 0.5864 0.4574 0.000 0.300 0.000 0.572 0.128
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.3885 0.7646 0.000 0.724 0.000 0.008 0.268
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.1331 0.4956 0.008 0.000 0.000 0.952 0.040
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.5049 -0.6354 0.032 0.000 0.000 0.488 0.480
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.0992 0.4848 0.000 0.008 0.000 0.968 0.024
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 5 0.6787 0.6530 0.332 0.000 0.000 0.288 0.380
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.9553 0.000 0.000 1.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.3615 0.5885 0.808 0.000 0.156 0.000 0.036
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.3615 0.5885 0.808 0.000 0.156 0.000 0.036
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.7306 1.000 0.000 0.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0609 0.7511 0.000 0.980 0.000 0.000 0.020
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.3910 0.7637 0.000 0.720 0.000 0.008 0.272
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.5346 0.1320 0.496 0.000 0.000 0.452 0.052
#> 851B9B77-547A-43CC-B939-428E0A26C67C 4 0.6313 0.4091 0.000 0.296 0.000 0.516 0.188
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.5256 0.3760 0.000 0.672 0.000 0.212 0.116
#> B56D29F2-ADF4-43B9-9013-071466244B4A 4 0.5971 0.3386 0.000 0.396 0.000 0.492 0.112
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.9553 0.000 0.000 1.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.6381 0.2925 0.464 0.000 0.000 0.364 0.172
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.6677 0.2407 0.008 0.188 0.000 0.468 0.336
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.3318 0.7765 0.000 0.800 0.000 0.008 0.192
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.5721 -0.6510 0.084 0.000 0.000 0.492 0.424
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.3885 0.7646 0.000 0.724 0.000 0.008 0.268
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 5 0.4589 0.5148 0.004 0.004 0.000 0.472 0.520
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.1043 0.9385 0.000 0.000 0.960 0.000 0.040
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.2209 0.6977 0.912 0.000 0.000 0.056 0.032
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.9553 0.000 0.000 1.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.4016 0.4560 0.112 0.000 0.000 0.796 0.092
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 5 0.5562 0.6894 0.072 0.000 0.000 0.408 0.520
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0898 0.7288 0.972 0.000 0.000 0.008 0.020
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 4 0.6375 0.4842 0.112 0.072 0.000 0.640 0.176
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 4 0.4123 0.5149 0.000 0.104 0.000 0.788 0.108
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.5046 0.4508 0.704 0.000 0.000 0.140 0.156
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.2873 0.3344 0.016 0.000 0.000 0.856 0.128
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.3828 0.5250 0.068 0.020 0.000 0.832 0.080
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.4595 -0.4840 0.004 0.004 0.000 0.504 0.488
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.7851 -0.1621 0.000 0.376 0.352 0.092 0.180
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 4 0.6248 0.4160 0.000 0.300 0.000 0.524 0.176
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 4 0.4780 0.3426 0.280 0.000 0.000 0.672 0.048
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 4 0.5635 0.3221 0.252 0.000 0.000 0.620 0.128
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 4 0.6069 0.3360 0.000 0.340 0.000 0.524 0.136
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.3741 0.7667 0.000 0.732 0.000 0.004 0.264
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.7647 0.3708 0.488 0.100 0.000 0.216 0.196
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.3305 0.7761 0.000 0.776 0.000 0.000 0.224
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.4551 -0.4645 0.004 0.004 0.000 0.556 0.436
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.5696 0.4082 0.560 0.000 0.000 0.344 0.096
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.3993 0.7750 0.000 0.756 0.000 0.028 0.216
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 5 0.4620 0.5592 0.008 0.008 0.000 0.368 0.616
#> 705D8441-3436-49B6-9575-E77C5252844A 5 0.6089 0.7414 0.124 0.000 0.000 0.408 0.468
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.5232 0.2355 0.000 0.600 0.340 0.000 0.060
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.3274 0.7775 0.000 0.780 0.000 0.000 0.220
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 5 0.7567 0.3298 0.248 0.112 0.000 0.144 0.496
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 4 0.6000 0.2769 0.000 0.428 0.000 0.460 0.112
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.5049 0.4595 0.704 0.000 0.000 0.148 0.148
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.1725 0.7310 0.000 0.936 0.000 0.020 0.044
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.1725 0.7310 0.000 0.936 0.000 0.020 0.044
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.4193 0.7648 0.000 0.720 0.000 0.024 0.256
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.4904 -0.6091 0.024 0.000 0.000 0.504 0.472
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.5197 0.3922 0.000 0.680 0.000 0.204 0.116
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 4 0.5421 0.4535 0.168 0.016 0.000 0.696 0.120
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 5 0.6718 0.6923 0.308 0.000 0.000 0.272 0.420
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.7306 1.000 0.000 0.000 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.5927 0.1702 0.000 0.120 0.000 0.540 0.340
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.1026 0.4810 0.004 0.004 0.000 0.968 0.024
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.3508 0.7702 0.000 0.748 0.000 0.000 0.252
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.2970 0.7810 0.000 0.828 0.000 0.004 0.168
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 5 0.6596 0.6626 0.280 0.000 0.000 0.256 0.464
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.1741 0.7300 0.000 0.936 0.000 0.024 0.040
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.2450 0.6896 0.896 0.000 0.000 0.028 0.076
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.9553 0.000 0.000 1.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.2813 0.3917 0.040 0.000 0.000 0.876 0.084
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.5083 0.5409 0.696 0.000 0.000 0.184 0.120
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0898 0.7423 0.000 0.972 0.000 0.020 0.008
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.1697 0.4454 0.008 0.000 0.000 0.932 0.060
#> 3E070741-BBA0-4806-8D74-08595E249252 4 0.5303 0.2360 0.232 0.000 0.000 0.660 0.108
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.1872 0.4522 0.020 0.000 0.000 0.928 0.052
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.4199 0.5652 0.772 0.000 0.160 0.000 0.068
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 5 0.6517 0.7334 0.192 0.000 0.000 0.392 0.416
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.9553 0.000 0.000 1.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.6395 0.2559 0.524 0.020 0.000 0.344 0.112
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.2388 0.7127 0.000 0.900 0.000 0.028 0.072
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.5201 -0.4802 0.044 0.000 0.000 0.532 0.424
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 4 0.5918 0.4897 0.000 0.240 0.000 0.592 0.168
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.3766 0.7654 0.000 0.728 0.000 0.004 0.268
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.4727 -0.5677 0.016 0.000 0.000 0.532 0.452
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.5138 0.4510 0.000 0.684 0.228 0.004 0.084
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.3885 0.7646 0.000 0.724 0.000 0.008 0.268
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.3534 0.7706 0.000 0.744 0.000 0.000 0.256
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 5 0.6721 0.7227 0.276 0.000 0.000 0.304 0.420
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.3910 0.7637 0.000 0.720 0.000 0.008 0.272
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.3885 0.7646 0.000 0.724 0.000 0.008 0.268
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.3477 0.5054 0.000 0.040 0.000 0.824 0.136
#> 17349241-FDBC-4297-8431-BB9400D87E63 5 0.4902 0.6068 0.024 0.000 0.000 0.468 0.508
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.2970 0.7810 0.000 0.828 0.000 0.004 0.168
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0162 0.7294 0.996 0.000 0.000 0.000 0.004
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 5 0.6294 0.7500 0.156 0.000 0.000 0.376 0.468
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.9553 0.000 0.000 1.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.7306 1.000 0.000 0.000 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.4990 0.4845 0.628 0.000 0.000 0.324 0.048
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 4 0.5946 0.3610 0.000 0.380 0.000 0.508 0.112
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.5728 0.6236 0.000 0.624 0.200 0.000 0.176
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.2179 0.4732 0.000 0.004 0.000 0.896 0.100
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.3582 0.7726 0.000 0.768 0.000 0.008 0.224
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 5 0.5238 0.6269 0.044 0.000 0.000 0.476 0.480
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.1018 0.7393 0.000 0.968 0.000 0.016 0.016
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.7306 1.000 0.000 0.000 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.7306 1.000 0.000 0.000 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 5 0.6748 0.6924 0.308 0.000 0.000 0.284 0.408
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 4 0.5811 0.4464 0.000 0.316 0.000 0.568 0.116
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.3159 0.6563 0.000 0.856 0.000 0.056 0.088
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 4 0.5631 0.0327 0.424 0.000 0.000 0.500 0.076
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 5 0.6089 0.7414 0.124 0.000 0.000 0.408 0.468
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 4 0.5998 0.2784 0.000 0.424 0.000 0.464 0.112
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0162 0.7301 0.996 0.000 0.000 0.000 0.004
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.1845 0.7081 0.928 0.000 0.000 0.016 0.056
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 4 0.6104 0.2055 0.296 0.004 0.000 0.560 0.140
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.1018 0.7381 0.000 0.968 0.000 0.016 0.016
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.6418 0.2447 0.472 0.000 0.000 0.344 0.184
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.7758 0.4400 0.532 0.116 0.032 0.088 0.232
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.3321 0.5069 0.000 0.032 0.000 0.832 0.136
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.2632 0.4068 0.040 0.000 0.000 0.888 0.072
#> 57787823-A815-4783-930C-A5752E48FFBA 4 0.5659 0.5008 0.004 0.244 0.000 0.632 0.120
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.5976 0.2979 0.508 0.000 0.000 0.376 0.116
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.6538 -0.0803 0.000 0.452 0.000 0.340 0.208
#> B90927EE-2978-45BC-872B-200DE436605C 5 0.6036 0.7235 0.116 0.000 0.000 0.432 0.452
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.3814 0.7634 0.000 0.720 0.000 0.004 0.276
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.5131 0.4299 0.588 0.000 0.000 0.364 0.048
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 4 0.5938 0.3705 0.000 0.376 0.000 0.512 0.112
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 4 0.5892 0.3785 0.000 0.372 0.000 0.520 0.108
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.1408 0.4611 0.008 0.000 0.000 0.948 0.044
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.6696 -0.5808 0.388 0.000 0.000 0.240 0.372
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 5 0.5856 0.7186 0.100 0.000 0.000 0.396 0.504
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.7460 0.1548 0.460 0.092 0.000 0.324 0.124
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.1830 0.4773 0.000 0.008 0.000 0.924 0.068
#> E84904D7-5996-46BC-8B14-5C14249F0667 5 0.6118 0.7431 0.128 0.000 0.000 0.404 0.468
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.3305 0.7761 0.000 0.776 0.000 0.000 0.224
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.3242 0.7775 0.000 0.784 0.000 0.000 0.216
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.4181 0.7606 0.000 0.712 0.000 0.020 0.268
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.0992 0.5119 0.000 0.024 0.000 0.968 0.008
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0162 0.7294 0.996 0.000 0.000 0.000 0.004
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.7306 1.000 0.000 0.000 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.2519 0.6987 0.884 0.000 0.000 0.016 0.100
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.5606 -0.4831 0.088 0.000 0.000 0.568 0.344
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.2592 0.7063 0.892 0.000 0.000 0.052 0.056
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0898 0.7464 0.000 0.972 0.000 0.008 0.020
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0963 0.9405 0.000 0.000 0.964 0.000 0.036
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 4 0.4291 0.5088 0.000 0.136 0.000 0.772 0.092
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.7306 1.000 0.000 0.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.2595 0.7059 0.000 0.888 0.000 0.032 0.080
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 5 0.6089 0.7414 0.124 0.000 0.000 0.408 0.468
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 4 0.5218 0.4536 0.168 0.008 0.000 0.704 0.120
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.5888 0.6508 0.000 0.580 0.000 0.140 0.280
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.9553 0.000 0.000 1.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.6006 0.5160 0.000 0.260 0.604 0.012 0.124
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.6548 0.1211 0.000 0.420 0.000 0.380 0.200
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.5338 0.0698 0.000 0.056 0.000 0.544 0.400
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.3615 0.5885 0.808 0.000 0.156 0.000 0.036
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.3216 0.5192 0.000 0.108 0.000 0.848 0.044
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 5 0.6680 0.6291 0.348 0.000 0.000 0.240 0.412
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.2983 0.6681 0.000 0.868 0.000 0.056 0.076
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0880 0.7229 0.968 0.000 0.000 0.032 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.9553 0.000 0.000 1.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 4 0.5490 0.4900 0.000 0.248 0.000 0.636 0.116
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.1444 0.4635 0.012 0.000 0.000 0.948 0.040
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.1648 0.7326 0.000 0.940 0.000 0.020 0.040
#> CC008807-7264-4593-966F-104992B35873 2 0.3242 0.6767 0.000 0.844 0.000 0.040 0.116
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.7306 1.000 0.000 0.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.7306 1.000 0.000 0.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.5236 -0.6357 0.044 0.000 0.000 0.492 0.464
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.2136 0.4937 0.008 0.000 0.000 0.904 0.088
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 5 0.6498 0.7466 0.200 0.000 0.000 0.340 0.460
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.2653 0.5137 0.000 0.024 0.000 0.880 0.096
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.6886 0.5237 0.608 0.096 0.032 0.044 0.220
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.2929 0.7812 0.000 0.820 0.000 0.000 0.180
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.5594 0.3912 0.000 0.136 0.000 0.632 0.232
#> 67E92530-3B19-424C-B219-958A88909046 1 0.1981 0.7052 0.920 0.000 0.000 0.064 0.016
#> 548F421F-046B-4209-9B20-1A6F32424738 5 0.6523 0.5799 0.288 0.000 0.000 0.232 0.480
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.3359 0.3115 0.020 0.000 0.000 0.816 0.164
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 5 0.7589 0.4173 0.264 0.068 0.000 0.212 0.456
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 5 0.3110 0.70875 0.000 0.196 0.000 0.000 0.792 0.012
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 6 0.2980 0.56197 0.000 0.192 0.000 0.008 0.000 0.800
#> B626F298-622E-4C4F-8217-71D1234A6670 6 0.3318 0.56948 0.000 0.172 0.000 0.032 0.000 0.796
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.3440 0.68882 0.000 0.196 0.000 0.000 0.776 0.028
#> EB246839-8CB3-4B57-985E-DCEE23692361 6 0.6725 0.07609 0.000 0.268 0.000 0.284 0.040 0.408
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 6 0.4532 0.03336 0.000 0.464 0.000 0.004 0.024 0.508
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.0862 0.83665 0.000 0.004 0.000 0.016 0.972 0.008
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 6 0.3183 0.58024 0.000 0.112 0.000 0.060 0.000 0.828
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.2909 0.75005 0.000 0.028 0.000 0.836 0.000 0.136
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 6 0.2796 0.60308 0.000 0.044 0.000 0.080 0.008 0.868
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.5091 0.60684 0.116 0.016 0.000 0.664 0.000 0.204
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.97998 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.3415 0.65340 0.844 0.052 0.068 0.032 0.000 0.004
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.3415 0.65340 0.844 0.052 0.068 0.032 0.000 0.004
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0547 0.77370 0.980 0.000 0.000 0.020 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 5 0.3789 0.11738 0.000 0.416 0.000 0.000 0.584 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.0951 0.83586 0.000 0.004 0.000 0.020 0.968 0.008
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 6 0.5839 0.41033 0.264 0.116 0.000 0.040 0.000 0.580
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.3807 0.11149 0.000 0.628 0.000 0.000 0.004 0.368
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.5173 0.51517 0.000 0.616 0.000 0.000 0.160 0.224
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.4819 0.28035 0.000 0.572 0.000 0.008 0.044 0.376
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.97998 0.000 0.000 1.000 0.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 6 0.7150 0.29564 0.244 0.192 0.000 0.124 0.000 0.440
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.5837 0.20806 0.000 0.364 0.000 0.464 0.004 0.168
#> 482285EC-BA43-441D-9986-7937B61A81D1 5 0.3110 0.70875 0.000 0.196 0.000 0.000 0.792 0.012
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.4619 0.48497 0.024 0.012 0.000 0.576 0.000 0.388
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.0881 0.83580 0.000 0.008 0.000 0.012 0.972 0.008
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.4613 0.64010 0.000 0.080 0.000 0.704 0.012 0.204
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.2823 0.91167 0.020 0.072 0.876 0.028 0.000 0.004
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.4514 0.67167 0.740 0.020 0.000 0.132 0.000 0.108
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.97998 0.000 0.000 1.000 0.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 6 0.4575 0.57673 0.044 0.080 0.000 0.128 0.000 0.748
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.2765 0.76245 0.008 0.028 0.000 0.876 0.008 0.080
#> AA838488-4A13-4998-B261-91590113F37D 1 0.2672 0.76085 0.884 0.048 0.000 0.048 0.000 0.020
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 6 0.4962 0.46520 0.056 0.292 0.000 0.020 0.000 0.632
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 6 0.2886 0.57362 0.000 0.072 0.000 0.004 0.064 0.860
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.6146 0.39822 0.520 0.024 0.000 0.252 0.000 0.204
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 6 0.3765 0.52212 0.004 0.060 0.000 0.156 0.000 0.780
#> C6D88493-258C-481E-B3A4-75DA86C25C43 6 0.3721 0.58033 0.016 0.160 0.000 0.036 0.000 0.788
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.4986 0.55638 0.000 0.096 0.000 0.628 0.004 0.272
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.6043 0.34123 0.020 0.640 0.220 0.044 0.040 0.036
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.3915 0.35903 0.000 0.692 0.000 0.004 0.016 0.288
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#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 6 0.2436 0.59873 0.000 0.032 0.000 0.088 0.000 0.880
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#> 558395B1-B3FC-47AB-81EB-899D70B374B3 6 0.2001 0.60956 0.000 0.040 0.000 0.048 0.000 0.912
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#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0547 0.77370 0.980 0.000 0.000 0.020 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.3986 0.69517 0.780 0.148 0.000 0.044 0.000 0.028
#> 8812DD6D-D245-4752-878F-496B164A21A3 6 0.4864 -0.21569 0.028 0.016 0.000 0.464 0.000 0.492
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.5644 0.59860 0.660 0.128 0.000 0.092 0.000 0.120
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 5 0.3955 0.03158 0.000 0.436 0.000 0.000 0.560 0.004
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.2630 0.92004 0.020 0.064 0.888 0.024 0.000 0.004
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 6 0.3054 0.57144 0.000 0.072 0.000 0.004 0.076 0.848
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0632 0.77276 0.976 0.000 0.000 0.024 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.4378 0.29339 0.000 0.600 0.000 0.000 0.368 0.032
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.2282 0.77609 0.024 0.000 0.000 0.888 0.000 0.088
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 6 0.5692 0.51203 0.088 0.180 0.000 0.088 0.000 0.644
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.3721 0.59439 0.000 0.032 0.000 0.016 0.784 0.168
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.97998 0.000 0.000 1.000 0.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.5755 -0.05131 0.020 0.500 0.416 0.032 0.020 0.012
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 6 0.6140 -0.08467 0.000 0.376 0.000 0.004 0.240 0.380
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 6 0.6514 0.05139 0.000 0.260 0.000 0.304 0.024 0.412
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.3415 0.65340 0.844 0.052 0.068 0.032 0.000 0.004
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 6 0.3219 0.58273 0.000 0.064 0.000 0.020 0.068 0.848
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.3028 0.74066 0.104 0.008 0.000 0.848 0.000 0.040
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.5399 0.41612 0.000 0.544 0.000 0.008 0.348 0.100
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.2325 0.75949 0.900 0.008 0.000 0.044 0.000 0.048
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.97998 0.000 0.000 1.000 0.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.5400 0.01366 0.000 0.488 0.000 0.064 0.020 0.428
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 6 0.1765 0.59168 0.000 0.000 0.000 0.096 0.000 0.904
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.4093 0.11792 0.000 0.516 0.000 0.000 0.476 0.008
#> CC008807-7264-4593-966F-104992B35873 2 0.4309 0.40639 0.000 0.660 0.000 0.000 0.296 0.044
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0547 0.77370 0.980 0.000 0.000 0.020 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0632 0.77274 0.976 0.000 0.000 0.024 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.3738 0.64426 0.004 0.004 0.000 0.680 0.000 0.312
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 6 0.4267 0.57521 0.000 0.152 0.000 0.116 0.000 0.732
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.2736 0.76706 0.052 0.020 0.000 0.880 0.000 0.048
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 6 0.3802 0.53529 0.000 0.208 0.000 0.044 0.000 0.748
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.6866 0.36691 0.428 0.316 0.016 0.208 0.000 0.032
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 5 0.2100 0.78460 0.000 0.112 0.000 0.000 0.884 0.004
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 6 0.6126 0.36158 0.000 0.256 0.000 0.064 0.116 0.564
#> 67E92530-3B19-424C-B219-958A88909046 1 0.5028 0.61274 0.684 0.020 0.000 0.128 0.000 0.168
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.4263 0.68284 0.084 0.100 0.000 0.776 0.000 0.040
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 6 0.4626 0.46174 0.004 0.128 0.000 0.164 0.000 0.704
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.5687 0.48456 0.064 0.240 0.000 0.616 0.000 0.080
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "skmeans"]
# you can also extract it by
# res = res_list["MAD:skmeans"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17604 rows and 183 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 0.965 0.948 0.978 0.5018 0.498 0.498
#> 3 3 0.860 0.890 0.933 0.2551 0.828 0.672
#> 4 4 0.808 0.856 0.922 0.1608 0.805 0.533
#> 5 5 0.729 0.622 0.789 0.0769 0.900 0.658
#> 6 6 0.764 0.636 0.810 0.0532 0.887 0.549
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.969 0.000 1.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.2603 0.929 0.044 0.956
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.9552 0.419 0.376 0.624
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.969 0.000 1.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.0000 0.969 0.000 1.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0000 0.969 0.000 1.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.969 0.000 1.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.0000 0.985 1.000 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.985 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.9248 0.501 0.340 0.660
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.985 1.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.0000 0.969 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.985 1.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.985 1.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.985 1.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0000 0.969 0.000 1.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.0000 0.969 0.000 1.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 0.985 1.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.0000 0.969 0.000 1.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0000 0.969 0.000 1.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0000 0.969 0.000 1.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.0000 0.969 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.985 1.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.9866 0.248 0.432 0.568
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.969 0.000 1.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.985 1.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0000 0.969 0.000 1.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.4939 0.876 0.892 0.108
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.7674 0.706 0.224 0.776
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.985 1.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.0000 0.969 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 0.985 1.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.4431 0.894 0.908 0.092
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 0.985 1.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.1184 0.971 0.984 0.016
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.0938 0.959 0.012 0.988
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.985 1.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0000 0.985 1.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.0000 0.985 1.000 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.0000 0.985 1.000 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.0000 0.969 0.000 1.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.0000 0.969 0.000 1.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.985 1.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0000 0.985 1.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.0000 0.969 0.000 1.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.969 0.000 1.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.0000 0.985 1.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0000 0.969 0.000 1.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.1184 0.971 0.984 0.016
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.985 1.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.0000 0.969 0.000 1.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 2 0.9710 0.341 0.400 0.600
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.985 1.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.0000 0.969 0.000 1.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.969 0.000 1.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.6801 0.780 0.820 0.180
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0000 0.969 0.000 1.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.985 1.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.969 0.000 1.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.969 0.000 1.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0000 0.969 0.000 1.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0000 0.985 1.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0000 0.969 0.000 1.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0000 0.985 1.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.985 1.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.985 1.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.0000 0.969 0.000 1.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.0000 0.985 1.000 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0000 0.969 0.000 1.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.969 0.000 1.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.985 1.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.0000 0.969 0.000 1.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.985 1.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.0000 0.969 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.985 1.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.985 1.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0000 0.969 0.000 1.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0000 0.985 1.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.985 1.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.0000 0.985 1.000 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.985 1.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.985 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.0000 0.969 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.0000 0.985 1.000 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0000 0.969 0.000 1.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.985 1.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.0000 0.969 0.000 1.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0000 0.969 0.000 1.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0000 0.985 1.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.0000 0.969 0.000 1.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0000 0.969 0.000 1.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.969 0.000 1.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.985 1.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0000 0.969 0.000 1.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0000 0.969 0.000 1.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.0000 0.969 0.000 1.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0000 0.985 1.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.969 0.000 1.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.985 1.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.985 1.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 2 0.0000 0.969 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.985 1.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.985 1.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0000 0.969 0.000 1.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0000 0.969 0.000 1.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.9358 0.475 0.352 0.648
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.969 0.000 1.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0000 0.985 1.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.969 0.000 1.000
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#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.985 1.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.985 1.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.0000 0.969 0.000 1.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0000 0.969 0.000 1.000
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#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.985 1.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0000 0.969 0.000 1.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.985 1.000 0.000
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#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.985 1.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.969 0.000 1.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.985 1.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.7528 0.724 0.784 0.216
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.4022 0.909 0.920 0.080
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.0000 0.985 1.000 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.0938 0.959 0.012 0.988
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0000 0.985 1.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.0000 0.969 0.000 1.000
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.985 1.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.0000 0.969 0.000 1.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.985 1.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0000 0.969 0.000 1.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.0000 0.969 0.000 1.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.0000 0.985 1.000 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.985 1.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0000 0.985 1.000 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.8763 0.566 0.704 0.296
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.6148 0.817 0.848 0.152
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.985 1.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0000 0.969 0.000 1.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.969 0.000 1.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.0000 0.969 0.000 1.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.9608 0.399 0.384 0.616
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.985 1.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.985 1.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.0000 0.985 1.000 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.985 1.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 0.985 1.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0000 0.969 0.000 1.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.0000 0.969 0.000 1.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.0938 0.959 0.012 0.988
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.985 1.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0000 0.969 0.000 1.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.985 1.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.0000 0.985 1.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.0000 0.969 0.000 1.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.0000 0.969 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.0000 0.969 0.000 1.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0000 0.969 0.000 1.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.0938 0.959 0.012 0.988
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.985 1.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.0000 0.969 0.000 1.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.985 1.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0000 0.969 0.000 1.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.985 1.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.0000 0.969 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.0000 0.969 0.000 1.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.0000 0.985 1.000 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.969 0.000 1.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0000 0.969 0.000 1.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.985 1.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.985 1.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.985 1.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.0000 0.985 1.000 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0000 0.985 1.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.2778 0.940 0.952 0.048
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.5946 0.831 0.856 0.144
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.969 0.000 1.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.0000 0.969 0.000 1.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.985 1.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.985 1.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.985 1.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0237 0.9328 0.000 0.996 0.004
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.2955 0.8809 0.008 0.912 0.080
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.4035 0.8534 0.040 0.880 0.080
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0237 0.9328 0.000 0.996 0.004
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.2537 0.8865 0.000 0.920 0.080
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0424 0.9320 0.000 0.992 0.008
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.9322 0.000 1.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.2772 0.9235 0.916 0.004 0.080
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.2772 0.9235 0.916 0.004 0.080
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.6518 0.6950 0.168 0.752 0.080
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.9440 1.000 0.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.2537 0.9120 0.000 0.080 0.920
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 3 0.2796 0.8831 0.092 0.000 0.908
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 3 0.2625 0.8869 0.084 0.000 0.916
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0237 0.9432 0.996 0.000 0.004
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0237 0.9328 0.000 0.996 0.004
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.0000 0.9322 0.000 1.000 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0237 0.9439 0.996 0.000 0.004
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.0747 0.9286 0.000 0.984 0.016
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0237 0.9328 0.000 0.996 0.004
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0237 0.9328 0.000 0.996 0.004
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.2537 0.9120 0.000 0.080 0.920
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0424 0.9422 0.992 0.000 0.008
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.9052 0.2870 0.216 0.556 0.228
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0237 0.9328 0.000 0.996 0.004
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.2261 0.9309 0.932 0.000 0.068
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0000 0.9322 0.000 1.000 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.5939 0.7643 0.748 0.028 0.224
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.2537 0.9120 0.000 0.080 0.920
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.9440 1.000 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.2537 0.9120 0.000 0.080 0.920
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 0.9440 1.000 0.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.5815 0.6664 0.692 0.004 0.304
#> AA838488-4A13-4998-B261-91590113F37D 1 0.1163 0.9348 0.972 0.000 0.028
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.4128 0.8037 0.856 0.132 0.012
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.2537 0.8865 0.000 0.920 0.080
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.9440 1.000 0.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.2772 0.9235 0.916 0.004 0.080
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.1860 0.9367 0.948 0.000 0.052
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.3272 0.9156 0.904 0.016 0.080
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.2537 0.9120 0.000 0.080 0.920
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.0237 0.9328 0.000 0.996 0.004
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.9440 1.000 0.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0000 0.9440 1.000 0.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.0592 0.9273 0.000 0.988 0.012
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.9322 0.000 1.000 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 3 0.3752 0.8458 0.144 0.000 0.856
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0237 0.9328 0.000 0.996 0.004
#> 89430A30-8758-4E5B-8186-999EA234E39A 2 0.8109 0.3628 0.352 0.568 0.080
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0424 0.9422 0.992 0.000 0.008
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.0000 0.9322 0.000 1.000 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 2 0.7948 0.5011 0.268 0.632 0.100
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.2165 0.9324 0.936 0.000 0.064
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.3412 0.8815 0.000 0.124 0.876
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0237 0.9328 0.000 0.996 0.004
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 3 0.3028 0.9025 0.048 0.032 0.920
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0237 0.9328 0.000 0.996 0.004
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.9440 1.000 0.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0237 0.9328 0.000 0.996 0.004
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0237 0.9328 0.000 0.996 0.004
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0000 0.9322 0.000 1.000 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.2772 0.9235 0.916 0.004 0.080
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0237 0.9328 0.000 0.996 0.004
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0000 0.9440 1.000 0.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.9440 1.000 0.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.1163 0.9348 0.972 0.000 0.028
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.2772 0.8838 0.004 0.916 0.080
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.2955 0.9215 0.912 0.008 0.080
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0000 0.9322 0.000 1.000 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0237 0.9328 0.000 0.996 0.004
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.1964 0.9174 0.944 0.000 0.056
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.6260 0.0978 0.000 0.552 0.448
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.1163 0.9348 0.972 0.000 0.028
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.2537 0.9120 0.000 0.080 0.920
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.2261 0.9309 0.932 0.000 0.068
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0237 0.9433 0.996 0.000 0.004
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0237 0.9328 0.000 0.996 0.004
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.2537 0.9257 0.920 0.000 0.080
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.9440 1.000 0.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.2261 0.9309 0.932 0.000 0.068
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 3 0.2625 0.8869 0.084 0.000 0.916
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.1753 0.9372 0.952 0.000 0.048
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.2537 0.9120 0.000 0.080 0.920
#> 25652859-77A4-43A3-8C72-B78E7F165924 3 0.6192 0.3672 0.420 0.000 0.580
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0237 0.9328 0.000 0.996 0.004
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0237 0.9441 0.996 0.000 0.004
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 3 0.4605 0.7916 0.000 0.204 0.796
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0000 0.9322 0.000 1.000 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.2772 0.9235 0.916 0.004 0.080
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 3 0.3686 0.8687 0.000 0.140 0.860
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0000 0.9322 0.000 1.000 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0237 0.9328 0.000 0.996 0.004
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.1753 0.9372 0.952 0.000 0.048
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.1289 0.9125 0.000 0.968 0.032
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0000 0.9322 0.000 1.000 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.2772 0.8838 0.004 0.916 0.080
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.3851 0.8900 0.860 0.004 0.136
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0237 0.9328 0.000 0.996 0.004
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.1163 0.9348 0.972 0.000 0.028
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.1753 0.9372 0.952 0.000 0.048
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.2537 0.9120 0.000 0.080 0.920
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.1163 0.9348 0.972 0.000 0.028
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.9440 1.000 0.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0237 0.9328 0.000 0.996 0.004
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 3 0.4887 0.7590 0.000 0.228 0.772
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.4035 0.8534 0.040 0.880 0.080
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.9322 0.000 1.000 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.2537 0.9257 0.920 0.000 0.080
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0237 0.9328 0.000 0.996 0.004
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0237 0.9432 0.996 0.000 0.004
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.1163 0.9348 0.972 0.000 0.028
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.9440 1.000 0.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.0237 0.9328 0.000 0.996 0.004
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0237 0.9328 0.000 0.996 0.004
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0892 0.9427 0.980 0.000 0.020
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.2165 0.9324 0.936 0.000 0.064
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0237 0.9328 0.000 0.996 0.004
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.1163 0.9348 0.972 0.000 0.028
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.1163 0.9348 0.972 0.000 0.028
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0237 0.9433 0.996 0.000 0.004
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0237 0.9328 0.000 0.996 0.004
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.4399 0.7523 0.812 0.000 0.188
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.3028 0.9067 0.032 0.048 0.920
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.3998 0.8585 0.060 0.884 0.056
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.1031 0.9426 0.976 0.000 0.024
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.0475 0.9314 0.004 0.992 0.004
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0892 0.9379 0.980 0.000 0.020
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 3 0.3752 0.8662 0.000 0.144 0.856
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.2261 0.9309 0.932 0.000 0.068
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.3551 0.8123 0.000 0.868 0.132
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.9440 1.000 0.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0592 0.9284 0.000 0.988 0.012
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.0237 0.9328 0.000 0.996 0.004
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.2772 0.9235 0.916 0.004 0.080
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.9440 1.000 0.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.5656 0.7003 0.712 0.004 0.284
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 3 0.5201 0.7417 0.236 0.004 0.760
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 2 0.8091 0.3808 0.348 0.572 0.080
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.2165 0.9324 0.936 0.000 0.064
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0237 0.9328 0.000 0.996 0.004
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0237 0.9328 0.000 0.996 0.004
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.1529 0.9106 0.000 0.960 0.040
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.6463 0.7009 0.164 0.756 0.080
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.1163 0.9348 0.972 0.000 0.028
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.1163 0.9348 0.972 0.000 0.028
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 3 0.4702 0.7744 0.212 0.000 0.788
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.2261 0.9309 0.932 0.000 0.068
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.1163 0.9348 0.972 0.000 0.028
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0237 0.9328 0.000 0.996 0.004
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.2537 0.9120 0.000 0.080 0.920
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.2537 0.8865 0.000 0.920 0.080
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.1163 0.9348 0.972 0.000 0.028
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0237 0.9328 0.000 0.996 0.004
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.2261 0.9309 0.932 0.000 0.068
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.0000 0.9440 1.000 0.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.2537 0.8865 0.000 0.920 0.080
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.2537 0.9120 0.000 0.080 0.920
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.2537 0.9120 0.000 0.080 0.920
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0592 0.9273 0.000 0.988 0.012
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.2955 0.8809 0.008 0.912 0.080
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 3 0.2625 0.8869 0.084 0.000 0.916
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.2537 0.8865 0.000 0.920 0.080
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.9440 1.000 0.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.2878 0.8540 0.000 0.904 0.096
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.9440 1.000 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.2625 0.9095 0.000 0.084 0.916
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.0592 0.9284 0.000 0.988 0.012
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.2772 0.9235 0.916 0.004 0.080
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0237 0.9328 0.000 0.996 0.004
#> CC008807-7264-4593-966F-104992B35873 2 0.0237 0.9328 0.000 0.996 0.004
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.1163 0.9348 0.972 0.000 0.028
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.1163 0.9348 0.972 0.000 0.028
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.2261 0.9309 0.932 0.000 0.068
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.2537 0.9257 0.920 0.000 0.080
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.4504 0.8210 0.804 0.000 0.196
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.5780 0.7980 0.800 0.120 0.080
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.2682 0.8916 0.076 0.004 0.920
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0237 0.9328 0.000 0.996 0.004
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.2537 0.8865 0.000 0.920 0.080
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.9440 1.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 3 0.4291 0.8119 0.180 0.000 0.820
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.2537 0.9257 0.920 0.000 0.080
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.3267 0.8606 0.884 0.000 0.116
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0469 0.9583 0.000 0.988 0.000 0.012
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.4391 0.5791 0.008 0.252 0.000 0.740
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.1042 0.8199 0.008 0.020 0.000 0.972
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0469 0.9583 0.000 0.988 0.000 0.012
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.0707 0.8211 0.000 0.020 0.000 0.980
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0376 0.9574 0.004 0.992 0.000 0.004
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0921 0.9537 0.000 0.972 0.000 0.028
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.0592 0.8290 0.016 0.000 0.000 0.984
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.2011 0.8406 0.080 0.000 0.000 0.920
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.3443 0.7694 0.016 0.136 0.000 0.848
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0336 0.9520 0.992 0.000 0.000 0.008
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.8853 0.000 0.000 1.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.4998 0.0102 0.512 0.000 0.488 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 3 0.4981 0.1190 0.464 0.000 0.536 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0376 0.9531 0.992 0.000 0.004 0.004
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0000 0.9583 0.000 1.000 0.000 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.0921 0.9537 0.000 0.972 0.000 0.028
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.2589 0.8507 0.884 0.000 0.000 0.116
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.2589 0.8689 0.000 0.884 0.000 0.116
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0376 0.9574 0.004 0.992 0.000 0.004
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0376 0.9574 0.004 0.992 0.000 0.004
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.8853 0.000 0.000 1.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.9528 1.000 0.000 0.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.6709 0.0861 0.004 0.428 0.076 0.492
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0188 0.9586 0.000 0.996 0.000 0.004
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.3649 0.7979 0.204 0.000 0.000 0.796
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0921 0.9537 0.000 0.972 0.000 0.028
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.0188 0.8277 0.004 0.000 0.000 0.996
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 0.8853 0.000 0.000 1.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0188 0.9530 0.996 0.000 0.000 0.004
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.8853 0.000 0.000 1.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0188 0.9514 0.996 0.000 0.000 0.004
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.4919 0.7653 0.076 0.000 0.152 0.772
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0336 0.9531 0.992 0.000 0.008 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.3401 0.8007 0.840 0.008 0.000 0.152
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.3300 0.8364 0.008 0.848 0.000 0.144
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0188 0.9530 0.996 0.000 0.000 0.004
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.1867 0.8414 0.072 0.000 0.000 0.928
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.4624 0.5028 0.340 0.000 0.000 0.660
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.0188 0.8277 0.004 0.000 0.000 0.996
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.0188 0.8839 0.000 0.004 0.996 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.1637 0.9221 0.000 0.940 0.000 0.060
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0188 0.9514 0.996 0.000 0.000 0.004
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0188 0.9514 0.996 0.000 0.000 0.004
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.3219 0.8359 0.000 0.836 0.000 0.164
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0817 0.9551 0.000 0.976 0.000 0.024
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 3 0.4212 0.6931 0.216 0.012 0.772 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0000 0.9583 0.000 1.000 0.000 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.0188 0.8277 0.004 0.000 0.000 0.996
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.9528 1.000 0.000 0.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.0921 0.9537 0.000 0.972 0.000 0.028
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.3655 0.8222 0.072 0.004 0.060 0.864
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.3649 0.7979 0.204 0.000 0.000 0.796
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.2281 0.8352 0.000 0.096 0.904 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0469 0.9583 0.000 0.988 0.000 0.012
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 3 0.0000 0.8853 0.000 0.000 1.000 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0376 0.9574 0.004 0.992 0.000 0.004
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0188 0.9530 0.996 0.000 0.000 0.004
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.9583 0.000 1.000 0.000 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.9583 0.000 1.000 0.000 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0921 0.9537 0.000 0.972 0.000 0.028
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.2081 0.8401 0.084 0.000 0.000 0.916
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0376 0.9574 0.004 0.992 0.000 0.004
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0188 0.9514 0.996 0.000 0.000 0.004
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.2760 0.8290 0.872 0.000 0.000 0.128
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0336 0.9531 0.992 0.000 0.008 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.0707 0.8211 0.000 0.020 0.000 0.980
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.1938 0.8387 0.052 0.012 0.000 0.936
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0469 0.9583 0.000 0.988 0.000 0.012
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.9583 0.000 1.000 0.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.2281 0.8685 0.904 0.000 0.000 0.096
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 3 0.4624 0.4953 0.000 0.340 0.660 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0376 0.9531 0.992 0.000 0.004 0.004
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.8853 0.000 0.000 1.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.3975 0.7721 0.240 0.000 0.000 0.760
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0188 0.9530 0.996 0.000 0.000 0.004
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0000 0.9583 0.000 1.000 0.000 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.2281 0.8392 0.096 0.000 0.000 0.904
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0188 0.9530 0.996 0.000 0.000 0.004
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.4585 0.6683 0.332 0.000 0.000 0.668
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 3 0.0000 0.8853 0.000 0.000 1.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.4985 0.3229 0.468 0.000 0.000 0.532
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.8853 0.000 0.000 1.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.2198 0.8921 0.920 0.000 0.008 0.072
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.1474 0.9287 0.000 0.948 0.000 0.052
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.4933 0.4344 0.432 0.000 0.000 0.568
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 3 0.5375 0.7256 0.000 0.116 0.744 0.140
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0817 0.9551 0.000 0.976 0.000 0.024
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.2081 0.8401 0.084 0.000 0.000 0.916
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 3 0.2408 0.8297 0.000 0.104 0.896 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0921 0.9537 0.000 0.972 0.000 0.028
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0469 0.9583 0.000 0.988 0.000 0.012
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.3907 0.6449 0.768 0.000 0.000 0.232
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.1929 0.9339 0.000 0.940 0.036 0.024
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0921 0.9537 0.000 0.972 0.000 0.028
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.0707 0.8211 0.000 0.020 0.000 0.980
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.1867 0.8404 0.072 0.000 0.000 0.928
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0469 0.9583 0.000 0.988 0.000 0.012
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0336 0.9531 0.992 0.000 0.008 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.4008 0.7637 0.244 0.000 0.000 0.756
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.8853 0.000 0.000 1.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0336 0.9531 0.992 0.000 0.008 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.9528 1.000 0.000 0.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0376 0.9574 0.004 0.992 0.000 0.004
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 3 0.3649 0.7174 0.000 0.204 0.796 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.0188 0.8259 0.000 0.004 0.000 0.996
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0921 0.9548 0.000 0.972 0.000 0.028
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.0921 0.8344 0.028 0.000 0.000 0.972
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.9583 0.000 1.000 0.000 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0376 0.9531 0.992 0.000 0.004 0.004
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0336 0.9531 0.992 0.000 0.008 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.1211 0.9277 0.960 0.000 0.000 0.040
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.0524 0.9562 0.008 0.988 0.000 0.004
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0188 0.9578 0.000 0.996 0.000 0.004
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.3975 0.7046 0.760 0.000 0.000 0.240
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.4040 0.7596 0.248 0.000 0.000 0.752
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0376 0.9574 0.004 0.992 0.000 0.004
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0336 0.9531 0.992 0.000 0.008 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0336 0.9531 0.992 0.000 0.008 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0188 0.9514 0.996 0.000 0.000 0.004
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.9583 0.000 1.000 0.000 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0469 0.9509 0.988 0.000 0.012 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.0000 0.8853 0.000 0.000 1.000 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.1042 0.9485 0.020 0.972 0.000 0.008
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.4431 0.6972 0.304 0.000 0.000 0.696
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.0524 0.9562 0.008 0.988 0.000 0.004
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0376 0.9517 0.992 0.000 0.004 0.004
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 3 0.2469 0.8266 0.000 0.108 0.892 0.000
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.3688 0.7953 0.208 0.000 0.000 0.792
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.4012 0.7731 0.000 0.800 0.184 0.016
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.9528 1.000 0.000 0.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0188 0.9578 0.000 0.996 0.000 0.004
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.0376 0.9574 0.004 0.992 0.000 0.004
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.0921 0.8361 0.028 0.000 0.000 0.972
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0336 0.9520 0.992 0.000 0.000 0.008
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.4662 0.7982 0.112 0.000 0.092 0.796
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.2530 0.8856 0.912 0.008 0.008 0.072
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.3166 0.7855 0.016 0.116 0.000 0.868
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.3726 0.7923 0.212 0.000 0.000 0.788
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0188 0.9586 0.000 0.996 0.000 0.004
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0469 0.9583 0.000 0.988 0.000 0.012
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.0921 0.9537 0.000 0.972 0.000 0.028
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.4214 0.6697 0.016 0.204 0.000 0.780
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0336 0.9531 0.992 0.000 0.008 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0336 0.9531 0.992 0.000 0.008 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.2011 0.8826 0.920 0.000 0.080 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.4331 0.7205 0.288 0.000 0.000 0.712
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0336 0.9531 0.992 0.000 0.008 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0000 0.9583 0.000 1.000 0.000 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 0.8853 0.000 0.000 1.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.2737 0.8819 0.008 0.888 0.000 0.104
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0336 0.9531 0.992 0.000 0.008 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.1474 0.9287 0.000 0.948 0.000 0.052
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.3610 0.8006 0.200 0.000 0.000 0.800
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.0188 0.9514 0.996 0.000 0.000 0.004
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.3688 0.7536 0.000 0.792 0.000 0.208
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.8853 0.000 0.000 1.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.0000 0.8853 0.000 0.000 1.000 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.2921 0.8623 0.000 0.860 0.000 0.140
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.0336 0.8245 0.000 0.008 0.000 0.992
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 3 0.4992 0.0778 0.476 0.000 0.524 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.4730 0.4436 0.000 0.636 0.000 0.364
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.2469 0.8544 0.892 0.000 0.000 0.108
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.1209 0.9402 0.000 0.964 0.032 0.004
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0188 0.9530 0.996 0.000 0.000 0.004
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0188 0.8831 0.000 0.004 0.996 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.0376 0.9574 0.004 0.992 0.000 0.004
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.1867 0.8415 0.072 0.000 0.000 0.928
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.9583 0.000 1.000 0.000 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.1474 0.9287 0.000 0.948 0.000 0.052
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0336 0.9531 0.992 0.000 0.008 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0376 0.9531 0.992 0.000 0.004 0.004
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.3172 0.8186 0.160 0.000 0.000 0.840
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.1211 0.8363 0.040 0.000 0.000 0.960
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.6054 0.6917 0.256 0.000 0.088 0.656
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.0524 0.8281 0.008 0.004 0.000 0.988
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.0000 0.8853 0.000 0.000 1.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0469 0.9583 0.000 0.988 0.000 0.012
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.2345 0.7628 0.000 0.100 0.000 0.900
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0188 0.9530 0.996 0.000 0.000 0.004
#> 548F421F-046B-4209-9B20-1A6F32424738 3 0.4008 0.6579 0.244 0.000 0.756 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.0921 0.8344 0.028 0.000 0.000 0.972
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0937 0.9466 0.976 0.000 0.012 0.012
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.3837 0.6745 0.000 0.692 0.000 0.000 0.308
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 5 0.4998 0.3729 0.000 0.104 0.000 0.196 0.700
#> B626F298-622E-4C4F-8217-71D1234A6670 5 0.4206 0.3396 0.000 0.016 0.000 0.288 0.696
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.4302 -0.3888 0.000 0.480 0.000 0.000 0.520
#> EB246839-8CB3-4B57-985E-DCEE23692361 5 0.4520 0.3647 0.000 0.032 0.000 0.284 0.684
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.1851 0.6570 0.000 0.912 0.000 0.000 0.088
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.4060 0.6591 0.000 0.640 0.000 0.000 0.360
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 5 0.4446 0.0537 0.008 0.000 0.000 0.400 0.592
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.0000 0.6947 0.000 0.000 0.000 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.6632 -0.0289 0.000 0.228 0.000 0.428 0.344
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.4192 0.3251 0.596 0.000 0.000 0.404 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.9139 0.000 0.000 1.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.4235 0.3075 0.576 0.000 0.424 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.4291 0.1964 0.536 0.000 0.464 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.2127 0.6988 0.000 0.892 0.000 0.000 0.108
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.4060 0.6591 0.000 0.640 0.000 0.000 0.360
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.3171 0.7534 0.816 0.000 0.000 0.008 0.176
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.4331 0.1707 0.000 0.596 0.000 0.004 0.400
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.1671 0.6661 0.000 0.924 0.000 0.000 0.076
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.1671 0.6661 0.000 0.924 0.000 0.000 0.076
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.9139 0.000 0.000 1.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.1168 0.8827 0.960 0.008 0.000 0.000 0.032
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.6461 0.0961 0.000 0.332 0.000 0.472 0.196
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.3774 0.6788 0.000 0.704 0.000 0.000 0.296
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.3565 0.6671 0.040 0.000 0.000 0.816 0.144
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.4060 0.6591 0.000 0.640 0.000 0.000 0.360
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.2732 0.6499 0.000 0.000 0.000 0.840 0.160
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 0.9139 0.000 0.000 1.000 0.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.9139 0.000 0.000 1.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.2304 0.8542 0.908 0.020 0.000 0.004 0.068
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.1408 0.6873 0.008 0.000 0.044 0.948 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.5576 0.3970 0.560 0.068 0.000 0.004 0.368
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 5 0.4225 -0.1385 0.000 0.364 0.000 0.004 0.632
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0703 0.8880 0.976 0.000 0.000 0.024 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.4555 0.4676 0.020 0.000 0.000 0.636 0.344
#> C6D88493-258C-481E-B3A4-75DA86C25C43 5 0.6080 0.2019 0.272 0.016 0.000 0.116 0.596
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.3730 0.5472 0.000 0.000 0.000 0.712 0.288
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.1792 0.8628 0.000 0.084 0.916 0.000 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.3752 0.3720 0.000 0.708 0.000 0.000 0.292
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0162 0.8979 0.996 0.000 0.000 0.000 0.004
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.2300 0.8494 0.904 0.024 0.000 0.000 0.072
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 5 0.4196 0.0641 0.000 0.356 0.000 0.004 0.640
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.4060 0.6591 0.000 0.640 0.000 0.000 0.360
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 3 0.4552 0.6906 0.184 0.052 0.752 0.000 0.012
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.3895 0.6767 0.000 0.680 0.000 0.000 0.320
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.3424 0.5941 0.000 0.000 0.000 0.760 0.240
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.4060 0.6591 0.000 0.640 0.000 0.000 0.360
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.4127 0.3343 0.000 0.008 0.000 0.680 0.312
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.0510 0.6977 0.016 0.000 0.000 0.984 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.2424 0.8258 0.000 0.132 0.868 0.000 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.3949 0.6723 0.000 0.668 0.000 0.000 0.332
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 3 0.0000 0.9139 0.000 0.000 1.000 0.000 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.1671 0.6661 0.000 0.924 0.000 0.000 0.076
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0703 0.8880 0.976 0.000 0.000 0.024 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0794 0.6929 0.000 0.972 0.000 0.000 0.028
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0794 0.6929 0.000 0.972 0.000 0.000 0.028
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.4060 0.6591 0.000 0.640 0.000 0.000 0.360
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.3452 0.5912 0.000 0.000 0.000 0.756 0.244
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.1671 0.6661 0.000 0.924 0.000 0.000 0.076
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.2388 0.8463 0.900 0.028 0.000 0.000 0.072
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.3143 0.5963 0.204 0.000 0.000 0.796 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 5 0.4562 0.3563 0.000 0.032 0.000 0.292 0.676
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.5769 0.3465 0.072 0.008 0.000 0.540 0.380
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.4060 0.6591 0.000 0.640 0.000 0.000 0.360
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.3816 0.6796 0.000 0.696 0.000 0.000 0.304
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.3366 0.5834 0.212 0.000 0.004 0.784 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 3 0.4210 0.4477 0.000 0.412 0.588 0.000 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.1851 0.8408 0.912 0.000 0.000 0.088 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.9139 0.000 0.000 1.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.5798 0.5064 0.148 0.000 0.000 0.604 0.248
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.2813 0.6970 0.000 0.832 0.000 0.000 0.168
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.3861 0.5522 0.004 0.000 0.000 0.712 0.284
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0963 0.8789 0.964 0.000 0.000 0.036 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.6842 0.2671 0.300 0.004 0.000 0.424 0.272
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 3 0.0000 0.9139 0.000 0.000 1.000 0.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.2612 0.6785 0.124 0.000 0.000 0.868 0.008
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.9139 0.000 0.000 1.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.1557 0.8691 0.940 0.008 0.000 0.000 0.052
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.3452 0.4311 0.000 0.756 0.000 0.000 0.244
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.2020 0.6721 0.100 0.000 0.000 0.900 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 5 0.6996 -0.0358 0.000 0.280 0.316 0.008 0.396
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.4060 0.6591 0.000 0.640 0.000 0.000 0.360
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.3561 0.5767 0.000 0.000 0.000 0.740 0.260
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 3 0.2516 0.8209 0.000 0.140 0.860 0.000 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.4060 0.6591 0.000 0.640 0.000 0.000 0.360
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.4045 0.6616 0.000 0.644 0.000 0.000 0.356
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.2471 0.6496 0.136 0.000 0.000 0.864 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.4060 0.6591 0.000 0.640 0.000 0.000 0.360
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.4060 0.6591 0.000 0.640 0.000 0.000 0.360
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 5 0.4657 0.3505 0.000 0.036 0.000 0.296 0.668
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.0000 0.6947 0.000 0.000 0.000 1.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.3876 0.6760 0.000 0.684 0.000 0.000 0.316
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.0880 0.6971 0.032 0.000 0.000 0.968 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.9139 0.000 0.000 1.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.1792 0.6698 0.000 0.916 0.000 0.000 0.084
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 3 0.4819 0.5631 0.000 0.192 0.716 0.000 0.092
#> 8B23AB23-8931-42CA-972D-1528D44BF218 5 0.4114 0.1694 0.000 0.000 0.000 0.376 0.624
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 5 0.4291 -0.3604 0.000 0.464 0.000 0.000 0.536
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.0000 0.6947 0.000 0.000 0.000 1.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0794 0.6929 0.000 0.972 0.000 0.000 0.028
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.3210 0.5856 0.212 0.000 0.000 0.788 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.1671 0.6661 0.000 0.924 0.000 0.000 0.076
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.1121 0.6798 0.000 0.956 0.000 0.000 0.044
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.5158 0.5700 0.676 0.000 0.000 0.100 0.224
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.0794 0.6977 0.028 0.000 0.000 0.972 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.1671 0.6661 0.000 0.924 0.000 0.000 0.076
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.3143 0.7093 0.796 0.000 0.000 0.204 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.2104 0.8576 0.916 0.024 0.000 0.000 0.060
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0703 0.6920 0.000 0.976 0.000 0.000 0.024
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.0000 0.9139 0.000 0.000 1.000 0.000 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.4161 0.6509 0.012 0.740 0.000 0.012 0.236
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.6558 0.3262 0.300 0.000 0.000 0.468 0.232
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.1671 0.6661 0.000 0.924 0.000 0.000 0.076
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0162 0.8977 0.996 0.004 0.000 0.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 3 0.3635 0.7001 0.000 0.248 0.748 0.000 0.004
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.2773 0.6800 0.020 0.000 0.000 0.868 0.112
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.4327 0.6522 0.000 0.632 0.008 0.000 0.360
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.1638 0.6705 0.000 0.932 0.004 0.000 0.064
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.2074 0.6707 0.000 0.896 0.000 0.000 0.104
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.3999 0.4785 0.000 0.000 0.000 0.656 0.344
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.4088 0.4228 0.632 0.000 0.000 0.368 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.1408 0.6873 0.008 0.000 0.044 0.948 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.3527 0.7295 0.792 0.016 0.000 0.000 0.192
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.2915 0.6582 0.000 0.024 0.000 0.860 0.116
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.0609 0.6979 0.020 0.000 0.000 0.980 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.3876 0.6769 0.000 0.684 0.000 0.000 0.316
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.3983 0.6695 0.000 0.660 0.000 0.000 0.340
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.4060 0.6591 0.000 0.640 0.000 0.000 0.360
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 5 0.6657 0.3738 0.028 0.236 0.000 0.176 0.560
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.0451 0.8948 0.988 0.004 0.000 0.000 0.008
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.5038 0.6040 0.132 0.000 0.000 0.704 0.164
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0794 0.6950 0.000 0.972 0.000 0.000 0.028
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 0.9139 0.000 0.000 1.000 0.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 5 0.4161 -0.1981 0.000 0.392 0.000 0.000 0.608
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.3424 0.4295 0.000 0.760 0.000 0.000 0.240
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.0510 0.6977 0.016 0.000 0.000 0.984 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.2300 0.8494 0.904 0.024 0.000 0.000 0.072
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.4482 -0.0752 0.000 0.376 0.000 0.012 0.612
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.9139 0.000 0.000 1.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.0000 0.9139 0.000 0.000 1.000 0.000 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 5 0.4088 -0.0828 0.000 0.368 0.000 0.000 0.632
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 5 0.4522 0.3169 0.000 0.024 0.000 0.316 0.660
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.4278 0.2326 0.548 0.000 0.452 0.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 5 0.5006 0.1163 0.000 0.328 0.000 0.048 0.624
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.2929 0.6172 0.180 0.000 0.000 0.820 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.1251 0.6812 0.000 0.956 0.008 0.000 0.036
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0162 0.8973 0.996 0.000 0.000 0.004 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.9139 0.000 0.000 1.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.1608 0.6758 0.000 0.928 0.000 0.000 0.072
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.5193 0.4118 0.052 0.000 0.000 0.584 0.364
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0794 0.6929 0.000 0.972 0.000 0.000 0.028
#> CC008807-7264-4593-966F-104992B35873 2 0.3508 0.4224 0.000 0.748 0.000 0.000 0.252
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.2909 0.6663 0.012 0.000 0.000 0.848 0.140
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.1357 0.6870 0.000 0.004 0.000 0.948 0.048
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.2446 0.6763 0.056 0.000 0.044 0.900 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 5 0.4974 0.2605 0.016 0.020 0.000 0.332 0.632
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.0000 0.9139 0.000 0.000 1.000 0.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.4015 0.6661 0.000 0.652 0.000 0.000 0.348
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 5 0.3477 0.4490 0.000 0.040 0.000 0.136 0.824
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.8990 1.000 0.000 0.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.6089 0.2346 0.144 0.000 0.324 0.532 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.4321 0.3953 0.004 0.000 0.000 0.600 0.396
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.5974 0.1363 0.404 0.044 0.016 0.524 0.012
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 5 0.1682 0.8211 0.000 0.052 0.000 0.000 0.928 0.020
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 6 0.0777 0.6800 0.000 0.024 0.000 0.004 0.000 0.972
#> B626F298-622E-4C4F-8217-71D1234A6670 6 0.0520 0.6809 0.000 0.008 0.000 0.008 0.000 0.984
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.3066 0.7364 0.000 0.044 0.000 0.000 0.832 0.124
#> EB246839-8CB3-4B57-985E-DCEE23692361 6 0.3664 0.6283 0.000 0.008 0.000 0.080 0.108 0.804
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0806 0.6234 0.000 0.972 0.000 0.000 0.020 0.008
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.0000 0.8631 0.000 0.000 0.000 0.000 1.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 6 0.0692 0.6804 0.000 0.004 0.000 0.020 0.000 0.976
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.0146 0.7679 0.000 0.000 0.000 0.996 0.000 0.004
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 6 0.5343 0.4281 0.000 0.364 0.000 0.056 0.028 0.552
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.3872 0.2535 0.392 0.000 0.000 0.604 0.000 0.004
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.9203 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.3482 0.5515 0.684 0.000 0.316 0.000 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.3578 0.5080 0.660 0.000 0.340 0.000 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0146 0.8625 0.996 0.000 0.000 0.004 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 5 0.3464 0.3796 0.000 0.312 0.000 0.000 0.688 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.0000 0.8631 0.000 0.000 0.000 0.000 1.000 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.3626 0.5958 0.704 0.004 0.000 0.004 0.000 0.288
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.4410 0.2784 0.000 0.560 0.000 0.000 0.028 0.412
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.1814 0.6420 0.000 0.900 0.000 0.000 0.100 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.1080 0.6269 0.004 0.960 0.000 0.000 0.032 0.004
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.9203 0.000 0.000 1.000 0.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.4244 0.6278 0.720 0.200 0.000 0.000 0.000 0.080
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.5746 0.1859 0.000 0.324 0.000 0.488 0.000 0.188
#> 482285EC-BA43-441D-9986-7937B61A81D1 5 0.1594 0.8236 0.000 0.052 0.000 0.000 0.932 0.016
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.3925 0.4470 0.004 0.008 0.000 0.656 0.000 0.332
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.0000 0.8631 0.000 0.000 0.000 0.000 1.000 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.2854 0.6168 0.000 0.000 0.000 0.792 0.000 0.208
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 0.9203 0.000 0.000 1.000 0.000 0.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0436 0.8618 0.988 0.004 0.000 0.004 0.000 0.004
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.9203 0.000 0.000 1.000 0.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 2 0.5716 -0.0473 0.392 0.444 0.000 0.000 0.000 0.164
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.0363 0.7671 0.000 0.000 0.012 0.988 0.000 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 0.8616 1.000 0.000 0.000 0.000 0.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 6 0.5633 0.0359 0.380 0.152 0.000 0.000 0.000 0.468
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 5 0.5842 0.1794 0.000 0.272 0.000 0.000 0.488 0.240
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.2209 0.8287 0.904 0.004 0.000 0.052 0.000 0.040
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 6 0.3922 0.4116 0.000 0.016 0.000 0.320 0.000 0.664
#> C6D88493-258C-481E-B3A4-75DA86C25C43 6 0.1390 0.6685 0.032 0.016 0.000 0.004 0.000 0.948
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.3872 0.2778 0.000 0.004 0.000 0.604 0.000 0.392
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.1714 0.8586 0.000 0.092 0.908 0.000 0.000 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.5351 0.4450 0.000 0.572 0.000 0.000 0.148 0.280
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.3735 0.7186 0.784 0.092 0.000 0.000 0.000 0.124
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 2 0.5153 -0.1256 0.456 0.460 0.000 0.000 0.000 0.084
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 6 0.4985 0.0619 0.000 0.072 0.000 0.000 0.400 0.528
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 5 0.0000 0.8631 0.000 0.000 0.000 0.000 1.000 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 3 0.4247 0.6889 0.164 0.092 0.740 0.000 0.000 0.004
#> 081452CB-9401-4678-9BA2-431CB2ECF105 5 0.0000 0.8631 0.000 0.000 0.000 0.000 1.000 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.3448 0.5139 0.000 0.004 0.000 0.716 0.000 0.280
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0405 0.8597 0.988 0.008 0.000 0.000 0.000 0.004
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 5 0.0000 0.8631 0.000 0.000 0.000 0.000 1.000 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.2562 0.6434 0.000 0.000 0.000 0.828 0.172 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.0291 0.7697 0.004 0.004 0.000 0.992 0.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.2178 0.8213 0.000 0.132 0.868 0.000 0.000 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 5 0.0458 0.8545 0.000 0.016 0.000 0.000 0.984 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 3 0.0291 0.9170 0.000 0.004 0.992 0.004 0.000 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0790 0.6282 0.000 0.968 0.000 0.000 0.032 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.2278 0.8258 0.900 0.004 0.000 0.052 0.000 0.044
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.5034 0.3195 0.000 0.520 0.000 0.000 0.404 0.076
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.4632 0.2798 0.000 0.520 0.000 0.000 0.440 0.040
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 5 0.0000 0.8631 0.000 0.000 0.000 0.000 1.000 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.3819 0.4488 0.000 0.012 0.000 0.672 0.000 0.316
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.1863 0.6421 0.000 0.896 0.000 0.000 0.104 0.000
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#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.3860 0.2413 0.000 0.528 0.000 0.000 0.472 0.000
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#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.9203 0.000 0.000 1.000 0.000 0.000 0.000
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#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.3578 0.5087 0.660 0.000 0.340 0.000 0.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 5 0.3699 0.4221 0.000 0.004 0.000 0.000 0.660 0.336
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.0790 0.7638 0.032 0.000 0.000 0.968 0.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.3136 0.6068 0.000 0.796 0.016 0.000 0.188 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0405 0.8610 0.988 0.000 0.000 0.008 0.000 0.004
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.9203 0.000 0.000 1.000 0.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.1049 0.6287 0.000 0.960 0.000 0.008 0.032 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 6 0.4962 0.5125 0.012 0.104 0.000 0.216 0.000 0.668
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.4517 0.2776 0.000 0.524 0.000 0.000 0.444 0.032
#> CC008807-7264-4593-966F-104992B35873 2 0.5639 0.4567 0.000 0.536 0.000 0.000 0.212 0.252
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0146 0.8625 0.996 0.000 0.000 0.004 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0146 0.8625 0.996 0.000 0.000 0.004 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.3827 0.4828 0.004 0.008 0.000 0.680 0.000 0.308
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.3409 0.6669 0.004 0.044 0.000 0.808 0.000 0.144
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.0291 0.7692 0.004 0.000 0.004 0.992 0.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 6 0.0725 0.6809 0.000 0.012 0.000 0.012 0.000 0.976
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.0000 0.9203 0.000 0.000 1.000 0.000 0.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 5 0.0260 0.8593 0.000 0.008 0.000 0.000 0.992 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 6 0.2373 0.6534 0.000 0.008 0.000 0.008 0.104 0.880
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0291 0.8619 0.992 0.000 0.000 0.004 0.000 0.004
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.3660 0.6136 0.060 0.000 0.160 0.780 0.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 6 0.3835 0.4593 0.000 0.016 0.000 0.300 0.000 0.684
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.3819 0.6070 0.176 0.052 0.000 0.768 0.000 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", "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 17604 rows and 183 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 0.496 0.848 0.901 0.3967 0.596 0.596
#> 3 3 0.538 0.868 0.914 0.1883 0.942 0.904
#> 4 4 0.552 0.781 0.889 0.3605 0.795 0.627
#> 5 5 0.579 0.741 0.855 0.1151 0.894 0.707
#> 6 6 0.660 0.779 0.878 0.0565 0.946 0.811
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.2778 0.8916 0.048 0.952
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.0000 0.9166 0.000 1.000
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.0672 0.9163 0.008 0.992
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0938 0.9128 0.012 0.988
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.1843 0.9108 0.028 0.972
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0000 0.9166 0.000 1.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.9166 0.000 1.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 2 0.0672 0.9163 0.008 0.992
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 2 0.0672 0.9163 0.008 0.992
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.0672 0.9163 0.008 0.992
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.8016 0.8679 0.756 0.244
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 1 0.2948 0.7944 0.948 0.052
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.2778 0.8296 0.952 0.048
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.2778 0.8296 0.952 0.048
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.7056 0.9104 0.808 0.192
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.2423 0.8978 0.040 0.960
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.0000 0.9166 0.000 1.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 2 0.0672 0.9163 0.008 0.992
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.0000 0.9166 0.000 1.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.3584 0.8766 0.068 0.932
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0000 0.9166 0.000 1.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 1 0.7139 0.6803 0.804 0.196
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 2 0.8443 0.5409 0.272 0.728
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.0000 0.9166 0.000 1.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.2778 0.8916 0.048 0.952
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.9954 0.4604 0.540 0.460
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.2603 0.8941 0.044 0.956
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 2 0.0672 0.9163 0.008 0.992
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.0672 0.7927 0.992 0.008
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.7056 0.9104 0.808 0.192
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.7528 0.7492 0.216 0.784
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 2 0.0672 0.9163 0.008 0.992
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 2 0.4022 0.8548 0.080 0.920
#> AA838488-4A13-4998-B261-91590113F37D 1 0.7056 0.9104 0.808 0.192
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.0000 0.9166 0.000 1.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.0672 0.9163 0.008 0.992
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.7056 0.9104 0.808 0.192
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 2 0.0672 0.9163 0.008 0.992
#> C6D88493-258C-481E-B3A4-75DA86C25C43 2 0.0672 0.9163 0.008 0.992
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 2 0.0672 0.9163 0.008 0.992
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.7139 0.7639 0.196 0.804
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.0000 0.9166 0.000 1.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 2 0.0672 0.9163 0.008 0.992
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 2 0.7950 0.6030 0.240 0.760
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.2043 0.9087 0.032 0.968
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.9166 0.000 1.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 2 0.8813 0.5742 0.300 0.700
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0672 0.9144 0.008 0.992
#> 89430A30-8758-4E5B-8186-999EA234E39A 2 0.0672 0.9163 0.008 0.992
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 2 0.0672 0.9163 0.008 0.992
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.0376 0.9166 0.004 0.996
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 2 0.0938 0.9149 0.012 0.988
#> 705D8441-3436-49B6-9575-E77C5252844A 2 0.9661 0.0788 0.392 0.608
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.7139 0.7639 0.196 0.804
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.2778 0.8916 0.048 0.952
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 2 0.7453 0.7524 0.212 0.788
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0672 0.9144 0.008 0.992
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.7056 0.9104 0.808 0.192
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.2778 0.8916 0.048 0.952
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.7056 0.7666 0.192 0.808
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0000 0.9166 0.000 1.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 2 0.0672 0.9163 0.008 0.992
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0376 0.9158 0.004 0.996
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.0672 0.9163 0.008 0.992
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.7376 0.9013 0.792 0.208
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.7056 0.9104 0.808 0.192
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.0672 0.9163 0.008 0.992
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 0.0672 0.9163 0.008 0.992
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0672 0.9144 0.008 0.992
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0672 0.9144 0.008 0.992
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.7219 0.9064 0.800 0.200
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.7056 0.7666 0.192 0.808
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.7376 0.9009 0.792 0.208
#> 3D3E5993-9E56-4A95-928E-012B62959711 1 0.0938 0.7958 0.988 0.012
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 2 0.0672 0.9163 0.008 0.992
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.9983 0.3952 0.524 0.476
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0376 0.9157 0.004 0.996
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 2 0.0672 0.9163 0.008 0.992
#> 3E070741-BBA0-4806-8D74-08595E249252 2 0.4022 0.8522 0.080 0.920
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 2 0.0672 0.9163 0.008 0.992
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.2778 0.8296 0.952 0.048
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.7815 0.8812 0.768 0.232
#> F521826B-B2EC-4000-9CE0-935F331AF562 1 0.2603 0.7949 0.956 0.044
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.0672 0.9163 0.008 0.992
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.7056 0.7666 0.192 0.808
#> 4CA559EF-D8B9-400B-972C-693257124C3D 2 0.2603 0.8892 0.044 0.956
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.6973 0.7695 0.188 0.812
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0376 0.9157 0.004 0.996
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 2 0.0672 0.9163 0.008 0.992
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.7056 0.7666 0.192 0.808
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0672 0.9144 0.008 0.992
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.4298 0.8626 0.088 0.912
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.7056 0.9104 0.808 0.192
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0000 0.9166 0.000 1.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0000 0.9166 0.000 1.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.0672 0.9163 0.008 0.992
#> 17349241-FDBC-4297-8431-BB9400D87E63 2 0.8081 0.5896 0.248 0.752
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.2778 0.8916 0.048 0.952
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.7056 0.9104 0.808 0.192
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.7219 0.9063 0.800 0.200
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 1 0.1184 0.7985 0.984 0.016
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.6887 0.9074 0.816 0.184
#> D227D812-6DF9-4954-9A50-6EBF6486116C 2 0.8016 0.5953 0.244 0.756
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0000 0.9166 0.000 1.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.7056 0.7666 0.192 0.808
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.0672 0.9163 0.008 0.992
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0672 0.9144 0.008 0.992
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 2 0.1633 0.9069 0.024 0.976
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.7056 0.7666 0.192 0.808
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.7056 0.9104 0.808 0.192
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.7056 0.9104 0.808 0.192
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.9209 0.7291 0.664 0.336
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.0000 0.9166 0.000 1.000
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#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 2 0.9963 -0.2353 0.464 0.536
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.8713 0.8061 0.708 0.292
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0672 0.9144 0.008 0.992
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.7056 0.9104 0.808 0.192
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#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 2 0.0672 0.9163 0.008 0.992
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.2423 0.8970 0.040 0.960
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 2 0.1184 0.9129 0.016 0.984
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.7528 0.8972 0.784 0.216
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.0672 0.9163 0.008 0.992
#> C7698440-CD13-438F-A60F-063D94C9ECAD 2 0.0672 0.9163 0.008 0.992
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.0000 0.9166 0.000 1.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 2 0.8763 0.4734 0.296 0.704
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.5946 0.8048 0.144 0.856
#> B90927EE-2978-45BC-872B-200DE436605C 2 0.0938 0.9146 0.012 0.988
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.7056 0.7666 0.192 0.808
#> B11753A0-829F-4913-B894-F07A53FF1C92 2 0.8661 0.4948 0.288 0.712
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0000 0.9166 0.000 1.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.0000 0.9166 0.000 1.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 2 0.0672 0.9163 0.008 0.992
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.7056 0.9104 0.808 0.192
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.8081 0.8627 0.752 0.248
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.5946 0.8048 0.144 0.856
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 2 0.0672 0.9163 0.008 0.992
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.7883 0.8769 0.764 0.236
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0000 0.9166 0.000 1.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0376 0.9157 0.004 0.996
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.0000 0.9166 0.000 1.000
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#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.6623 0.9017 0.828 0.172
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.7056 0.9104 0.808 0.192
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.7056 0.9104 0.808 0.192
#> 8812DD6D-D245-4752-878F-496B164A21A3 2 0.0672 0.9163 0.008 0.992
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.7056 0.9104 0.808 0.192
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0672 0.9144 0.008 0.992
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.5294 0.7613 0.880 0.120
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.0672 0.9163 0.008 0.992
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.7219 0.9063 0.800 0.200
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.6712 0.7829 0.176 0.824
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 2 0.8267 0.5622 0.260 0.740
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.0672 0.9163 0.008 0.992
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.0672 0.9163 0.008 0.992
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 1 0.0938 0.7958 0.988 0.012
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.7219 0.7608 0.200 0.800
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0000 0.9166 0.000 1.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.0672 0.9163 0.008 0.992
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.2778 0.8296 0.952 0.048
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.0672 0.9163 0.008 0.992
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.7056 0.9104 0.808 0.192
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.7056 0.7666 0.192 0.808
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#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.7219 0.7608 0.200 0.800
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.0000 0.9166 0.000 1.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 2 0.0672 0.9163 0.008 0.992
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#> CC008807-7264-4593-966F-104992B35873 2 0.2603 0.8944 0.044 0.956
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.7056 0.9104 0.808 0.192
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.7056 0.9104 0.808 0.192
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 2 0.8144 0.5789 0.252 0.748
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 2 0.0672 0.9163 0.008 0.992
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.7056 0.9104 0.808 0.192
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 2 0.0672 0.9163 0.008 0.992
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.2423 0.8245 0.960 0.040
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.1184 0.9109 0.016 0.984
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.0672 0.9163 0.008 0.992
#> 67E92530-3B19-424C-B219-958A88909046 1 0.7219 0.9063 0.800 0.200
#> 548F421F-046B-4209-9B20-1A6F32424738 2 0.8016 0.5981 0.244 0.756
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 2 0.0672 0.9163 0.008 0.992
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 2 0.8081 0.5896 0.248 0.752
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.1482 0.905 0.012 0.968 0.020
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.1411 0.915 0.036 0.964 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.2448 0.908 0.076 0.924 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0592 0.909 0.012 0.988 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.4172 0.875 0.156 0.840 0.004
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0000 0.913 0.000 1.000 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.913 0.000 1.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 2 0.2448 0.908 0.076 0.924 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 2 0.4399 0.854 0.188 0.812 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.2537 0.907 0.080 0.920 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.4654 0.683 0.792 0.208 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 1.000 0.000 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.4291 0.705 0.840 0.008 0.152
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.3695 0.767 0.880 0.012 0.108
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0592 0.864 0.988 0.012 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.1482 0.909 0.012 0.968 0.020
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.0000 0.913 0.000 1.000 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 2 0.4399 0.856 0.188 0.812 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.0892 0.915 0.020 0.980 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0592 0.909 0.012 0.988 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0000 0.913 0.000 1.000 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 1.000 0.000 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 2 0.4605 0.798 0.204 0.796 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.0000 0.913 0.000 1.000 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.1482 0.905 0.012 0.968 0.020
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.2959 0.806 0.900 0.100 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0892 0.911 0.000 0.980 0.020
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 2 0.4121 0.868 0.168 0.832 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 1.000 0.000 0.000 1.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0592 0.864 0.988 0.012 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 1.000 0.000 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 2 0.2711 0.906 0.088 0.912 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 2 0.4346 0.856 0.184 0.816 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.1031 0.863 0.976 0.024 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.1411 0.915 0.036 0.964 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.1289 0.914 0.032 0.968 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0592 0.864 0.988 0.012 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 2 0.4291 0.861 0.180 0.820 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 2 0.2261 0.909 0.068 0.932 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 2 0.4121 0.868 0.168 0.832 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.4514 0.848 0.012 0.832 0.156
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.0000 0.913 0.000 1.000 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 2 0.2959 0.904 0.100 0.900 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 2 0.3116 0.896 0.108 0.892 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.1315 0.916 0.020 0.972 0.008
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.913 0.000 1.000 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 2 0.5334 0.863 0.060 0.820 0.120
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0592 0.909 0.012 0.988 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 2 0.3941 0.875 0.156 0.844 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 2 0.4178 0.868 0.172 0.828 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.1289 0.916 0.032 0.968 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 2 0.1529 0.914 0.040 0.960 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.6215 0.165 0.572 0.428 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.4514 0.848 0.012 0.832 0.156
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.1482 0.905 0.012 0.968 0.020
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 2 0.3851 0.866 0.004 0.860 0.136
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0424 0.911 0.008 0.992 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0592 0.864 0.988 0.012 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.1482 0.905 0.012 0.968 0.020
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.1482 0.905 0.012 0.968 0.020
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0000 0.913 0.000 1.000 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 2 0.4291 0.861 0.180 0.820 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0592 0.909 0.012 0.988 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.2261 0.909 0.068 0.932 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.2066 0.838 0.940 0.060 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0892 0.864 0.980 0.020 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.2448 0.908 0.076 0.924 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 0.2537 0.907 0.080 0.920 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0592 0.909 0.012 0.988 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0592 0.909 0.012 0.988 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.2356 0.839 0.928 0.072 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.4261 0.860 0.012 0.848 0.140
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0892 0.864 0.980 0.020 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 1.000 0.000 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 2 0.4121 0.868 0.168 0.832 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.4931 0.620 0.768 0.232 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0000 0.913 0.000 1.000 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 2 0.4121 0.868 0.168 0.832 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 2 0.5291 0.758 0.268 0.732 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 2 0.4178 0.866 0.172 0.828 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.3983 0.727 0.852 0.004 0.144
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.3412 0.774 0.876 0.124 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 1.000 0.000 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.5137 0.876 0.064 0.832 0.104
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.4261 0.860 0.012 0.848 0.140
#> 4CA559EF-D8B9-400B-972C-693257124C3D 2 0.3879 0.878 0.152 0.848 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.3686 0.867 0.000 0.860 0.140
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0000 0.913 0.000 1.000 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 2 0.4235 0.864 0.176 0.824 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.4514 0.848 0.012 0.832 0.156
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0592 0.909 0.012 0.988 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.1482 0.905 0.012 0.968 0.020
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.1289 0.861 0.968 0.032 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.2229 0.908 0.012 0.944 0.044
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0000 0.913 0.000 1.000 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.3267 0.896 0.116 0.884 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 2 0.4605 0.837 0.204 0.796 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.1482 0.905 0.012 0.968 0.020
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0592 0.864 0.988 0.012 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.1031 0.863 0.976 0.024 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 1.000 0.000 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.1337 0.854 0.972 0.012 0.016
#> D227D812-6DF9-4954-9A50-6EBF6486116C 2 0.3340 0.892 0.120 0.880 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0000 0.913 0.000 1.000 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.5948 0.587 0.000 0.640 0.360
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.4002 0.873 0.160 0.840 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0592 0.909 0.012 0.988 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 2 0.4291 0.860 0.180 0.820 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.1482 0.905 0.012 0.968 0.020
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0592 0.864 0.988 0.012 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0592 0.864 0.988 0.012 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.4887 0.642 0.772 0.228 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.0000 0.913 0.000 1.000 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.2339 0.903 0.012 0.940 0.048
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.5835 0.461 0.660 0.340 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.5254 0.590 0.736 0.264 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0592 0.909 0.012 0.988 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0747 0.865 0.984 0.016 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.1031 0.864 0.976 0.024 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 2 0.2261 0.909 0.068 0.932 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.1182 0.908 0.012 0.976 0.012
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 2 0.4002 0.873 0.160 0.840 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.5695 0.707 0.804 0.076 0.120
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.1163 0.914 0.028 0.972 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 2 0.4346 0.858 0.184 0.816 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.0747 0.915 0.016 0.984 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 2 0.4062 0.850 0.164 0.836 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.3619 0.868 0.000 0.864 0.136
#> B90927EE-2978-45BC-872B-200DE436605C 2 0.4452 0.851 0.192 0.808 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.3618 0.875 0.012 0.884 0.104
#> B11753A0-829F-4913-B894-F07A53FF1C92 2 0.4178 0.856 0.172 0.828 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0000 0.913 0.000 1.000 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.0000 0.913 0.000 1.000 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 2 0.2261 0.909 0.068 0.932 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.1289 0.861 0.968 0.032 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.4931 0.646 0.768 0.232 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.3918 0.874 0.012 0.868 0.120
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 2 0.2261 0.909 0.068 0.932 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.4121 0.721 0.832 0.168 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0000 0.913 0.000 1.000 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.913 0.000 1.000 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.0000 0.913 0.000 1.000 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.2261 0.909 0.068 0.932 0.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0592 0.864 0.988 0.012 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0592 0.864 0.988 0.012 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.5094 0.746 0.832 0.112 0.056
#> 8812DD6D-D245-4752-878F-496B164A21A3 2 0.4399 0.855 0.188 0.812 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.3192 0.789 0.888 0.112 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0592 0.909 0.012 0.988 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 1.000 0.000 0.000 1.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.1289 0.914 0.032 0.968 0.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0592 0.864 0.988 0.012 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.1482 0.905 0.012 0.968 0.020
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 2 0.4654 0.836 0.208 0.792 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.2261 0.909 0.068 0.932 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.1753 0.914 0.048 0.952 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 1.000 0.000 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.4514 0.848 0.012 0.832 0.156
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0000 0.913 0.000 1.000 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.4121 0.868 0.168 0.832 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.4679 0.711 0.832 0.020 0.148
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.3879 0.876 0.152 0.848 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0592 0.864 0.988 0.012 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.4261 0.860 0.012 0.848 0.140
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0592 0.864 0.988 0.012 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 1.000 0.000 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.0000 0.913 0.000 1.000 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 2 0.3941 0.875 0.156 0.844 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.1482 0.905 0.012 0.968 0.020
#> CC008807-7264-4593-966F-104992B35873 2 0.1337 0.906 0.012 0.972 0.016
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0747 0.865 0.984 0.016 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0592 0.864 0.988 0.012 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 2 0.5016 0.803 0.240 0.760 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 2 0.2261 0.909 0.068 0.932 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.1289 0.861 0.968 0.032 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 2 0.4178 0.866 0.172 0.828 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.5435 0.702 0.808 0.048 0.144
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0592 0.909 0.012 0.988 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.4121 0.868 0.168 0.832 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0592 0.864 0.988 0.012 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 2 0.5307 0.865 0.136 0.816 0.048
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 2 0.4291 0.862 0.180 0.820 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 2 0.3038 0.898 0.104 0.896 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.669 0.000 1.000 0.000 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.0188 0.882 0.000 0.004 0.000 0.996
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.0921 0.884 0.028 0.000 0.000 0.972
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.669 0.000 1.000 0.000 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.2813 0.865 0.080 0.024 0.000 0.896
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 4 0.0336 0.882 0.000 0.008 0.000 0.992
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.3266 0.636 0.000 0.832 0.000 0.168
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.0707 0.885 0.020 0.000 0.000 0.980
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.2814 0.846 0.132 0.000 0.000 0.868
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.1867 0.872 0.072 0.000 0.000 0.928
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.4605 0.608 0.664 0.000 0.000 0.336
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.1305 0.821 0.960 0.000 0.036 0.004
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0592 0.837 0.984 0.000 0.000 0.016
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.836 1.000 0.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.1022 0.681 0.000 0.968 0.000 0.032
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.3266 0.636 0.000 0.832 0.000 0.168
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 4 0.3528 0.794 0.192 0.000 0.000 0.808
#> 851B9B77-547A-43CC-B939-428E0A26C67C 4 0.0336 0.882 0.000 0.008 0.000 0.992
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.4250 0.719 0.000 0.724 0.000 0.276
#> B56D29F2-ADF4-43B9-9013-071466244B4A 4 0.0188 0.882 0.000 0.004 0.000 0.996
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 4 0.2760 0.790 0.128 0.000 0.000 0.872
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.0188 0.882 0.000 0.004 0.000 0.996
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.669 0.000 1.000 0.000 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.2530 0.799 0.888 0.000 0.000 0.112
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 4 0.4855 0.344 0.000 0.400 0.000 0.600
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.2976 0.849 0.120 0.008 0.000 0.872
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.836 1.000 0.000 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.1022 0.885 0.032 0.000 0.000 0.968
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.1929 0.869 0.024 0.036 0.000 0.940
#> AA838488-4A13-4998-B261-91590113F37D 1 0.1474 0.832 0.948 0.000 0.000 0.052
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 4 0.0188 0.882 0.000 0.004 0.000 0.996
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 4 0.0895 0.881 0.004 0.020 0.000 0.976
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0188 0.836 0.996 0.000 0.000 0.004
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.2868 0.841 0.136 0.000 0.000 0.864
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.0188 0.885 0.004 0.000 0.000 0.996
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.2704 0.849 0.124 0.000 0.000 0.876
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 4 0.3219 0.761 0.000 0.164 0.000 0.836
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 4 0.1389 0.861 0.000 0.048 0.000 0.952
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 4 0.3356 0.813 0.176 0.000 0.000 0.824
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 4 0.1211 0.876 0.040 0.000 0.000 0.960
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 4 0.0469 0.883 0.000 0.012 0.000 0.988
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.3219 0.638 0.000 0.836 0.000 0.164
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 4 0.0817 0.879 0.024 0.000 0.000 0.976
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0000 0.669 0.000 1.000 0.000 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.0188 0.885 0.004 0.000 0.000 0.996
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 4 0.1867 0.875 0.072 0.000 0.000 0.928
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 4 0.3400 0.717 0.000 0.180 0.000 0.820
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.4250 0.551 0.000 0.276 0.000 0.724
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.4916 0.209 0.576 0.000 0.000 0.424
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.4250 0.719 0.000 0.724 0.000 0.276
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.669 0.000 1.000 0.000 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 4 0.0376 0.883 0.004 0.004 0.000 0.992
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 4 0.1637 0.863 0.000 0.060 0.000 0.940
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0188 0.836 0.996 0.000 0.000 0.004
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.4250 0.719 0.000 0.724 0.000 0.276
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.4250 0.719 0.000 0.724 0.000 0.276
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 4 0.4866 0.241 0.000 0.404 0.000 0.596
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.2868 0.842 0.136 0.000 0.000 0.864
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.4304 0.713 0.000 0.716 0.000 0.284
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 4 0.0000 0.883 0.000 0.000 0.000 1.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.1716 0.821 0.936 0.000 0.000 0.064
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.2408 0.803 0.896 0.000 0.000 0.104
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.0469 0.886 0.012 0.000 0.000 0.988
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.0000 0.883 0.000 0.000 0.000 1.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0000 0.669 0.000 1.000 0.000 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.669 0.000 1.000 0.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.3801 0.744 0.780 0.000 0.000 0.220
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 4 0.3356 0.743 0.000 0.176 0.000 0.824
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.2081 0.819 0.916 0.000 0.000 0.084
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.2704 0.849 0.124 0.000 0.000 0.876
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.4250 0.593 0.724 0.000 0.000 0.276
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.4948 0.512 0.000 0.560 0.000 0.440
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.2647 0.850 0.120 0.000 0.000 0.880
#> 3E070741-BBA0-4806-8D74-08595E249252 4 0.4222 0.707 0.272 0.000 0.000 0.728
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.2973 0.838 0.144 0.000 0.000 0.856
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0469 0.833 0.988 0.000 0.012 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.2704 0.771 0.876 0.000 0.000 0.124
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 4 0.1940 0.862 0.076 0.000 0.000 0.924
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.4250 0.719 0.000 0.724 0.000 0.276
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.0336 0.884 0.008 0.000 0.000 0.992
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 4 0.0592 0.880 0.000 0.016 0.000 0.984
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.3123 0.641 0.000 0.844 0.000 0.156
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.2868 0.841 0.136 0.000 0.000 0.864
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.4250 0.719 0.000 0.724 0.000 0.276
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 4 0.4981 0.236 0.000 0.464 0.000 0.536
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.669 0.000 1.000 0.000 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.3266 0.781 0.832 0.000 0.000 0.168
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.3311 0.633 0.000 0.828 0.000 0.172
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.4972 0.214 0.000 0.544 0.000 0.456
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.0188 0.885 0.004 0.000 0.000 0.996
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.1637 0.873 0.060 0.000 0.000 0.940
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.669 0.000 1.000 0.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0188 0.837 0.996 0.000 0.000 0.004
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.1022 0.837 0.968 0.000 0.000 0.032
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.1302 0.833 0.956 0.000 0.000 0.044
#> D227D812-6DF9-4954-9A50-6EBF6486116C 4 0.1557 0.875 0.056 0.000 0.000 0.944
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 4 0.0188 0.882 0.000 0.004 0.000 0.996
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.3356 0.519 0.000 0.824 0.176 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.2281 0.861 0.096 0.000 0.000 0.904
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.669 0.000 1.000 0.000 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.2868 0.844 0.136 0.000 0.000 0.864
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.4250 0.719 0.000 0.724 0.000 0.276
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.836 1.000 0.000 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.836 1.000 0.000 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.4193 0.628 0.732 0.000 0.000 0.268
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 4 0.0188 0.882 0.000 0.004 0.000 0.996
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.4250 0.719 0.000 0.724 0.000 0.276
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.4605 0.480 0.664 0.000 0.000 0.336
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.4454 0.575 0.692 0.000 0.000 0.308
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 4 0.3356 0.743 0.000 0.176 0.000 0.824
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.1022 0.838 0.968 0.000 0.000 0.032
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.2647 0.803 0.880 0.000 0.000 0.120
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 4 0.0000 0.883 0.000 0.000 0.000 1.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.4250 0.719 0.000 0.724 0.000 0.276
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 4 0.2081 0.874 0.084 0.000 0.000 0.916
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.3668 0.759 0.808 0.004 0.000 0.188
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.0000 0.883 0.000 0.000 0.000 1.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.2973 0.836 0.144 0.000 0.000 0.856
#> 57787823-A815-4783-930C-A5752E48FFBA 4 0.0524 0.884 0.004 0.008 0.000 0.988
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 4 0.2216 0.838 0.092 0.000 0.000 0.908
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 4 0.4250 0.457 0.000 0.276 0.000 0.724
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.3074 0.833 0.152 0.000 0.000 0.848
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.4776 0.311 0.000 0.624 0.000 0.376
#> B11753A0-829F-4913-B894-F07A53FF1C92 4 0.2081 0.855 0.084 0.000 0.000 0.916
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 4 0.0336 0.882 0.000 0.008 0.000 0.992
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 4 0.0336 0.882 0.000 0.008 0.000 0.992
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.0000 0.883 0.000 0.000 0.000 1.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.3356 0.775 0.824 0.000 0.000 0.176
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.4655 0.609 0.684 0.004 0.000 0.312
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 4 0.1637 0.871 0.060 0.000 0.000 0.940
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.0188 0.884 0.004 0.000 0.000 0.996
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.3400 0.720 0.820 0.000 0.000 0.180
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 4 0.2760 0.772 0.000 0.128 0.000 0.872
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.3172 0.639 0.000 0.840 0.000 0.160
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 4 0.4843 0.289 0.000 0.396 0.000 0.604
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.0921 0.885 0.028 0.000 0.000 0.972
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.836 1.000 0.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0707 0.837 0.980 0.000 0.000 0.020
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.3356 0.768 0.824 0.000 0.000 0.176
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.3024 0.835 0.148 0.000 0.000 0.852
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.3356 0.773 0.824 0.000 0.000 0.176
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.4250 0.719 0.000 0.724 0.000 0.276
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 4 0.0592 0.886 0.016 0.000 0.000 0.984
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.836 1.000 0.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.4250 0.719 0.000 0.724 0.000 0.276
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.3172 0.831 0.160 0.000 0.000 0.840
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 4 0.0469 0.885 0.012 0.000 0.000 0.988
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 4 0.5010 0.551 0.024 0.276 0.000 0.700
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.4250 0.719 0.000 0.724 0.000 0.276
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 4 0.2216 0.817 0.000 0.092 0.000 0.908
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.2976 0.849 0.120 0.008 0.000 0.872
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.2546 0.814 0.912 0.000 0.028 0.060
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.0188 0.884 0.004 0.000 0.000 0.996
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0188 0.836 0.996 0.000 0.000 0.004
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.4941 0.428 0.000 0.564 0.000 0.436
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0188 0.836 0.996 0.000 0.000 0.004
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 1.000 0.000 0.000 1.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 4 0.0469 0.881 0.000 0.012 0.000 0.988
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.1118 0.884 0.036 0.000 0.000 0.964
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.4250 0.719 0.000 0.724 0.000 0.276
#> CC008807-7264-4593-966F-104992B35873 2 0.4250 0.719 0.000 0.724 0.000 0.276
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0336 0.838 0.992 0.000 0.000 0.008
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.836 1.000 0.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.3837 0.771 0.224 0.000 0.000 0.776
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.0000 0.883 0.000 0.000 0.000 1.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.3356 0.775 0.824 0.000 0.000 0.176
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.2704 0.848 0.124 0.000 0.000 0.876
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.3257 0.779 0.844 0.004 0.000 0.152
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.669 0.000 1.000 0.000 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.2859 0.853 0.112 0.008 0.000 0.880
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.836 1.000 0.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.0921 0.877 0.028 0.000 0.000 0.972
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.3356 0.807 0.176 0.000 0.000 0.824
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.1118 0.876 0.036 0.000 0.000 0.964
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.649 0.000 1.000 0.000 0.000 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 5 0.0566 0.842 0.004 0.000 0.000 0.012 0.984
#> B626F298-622E-4C4F-8217-71D1234A6670 5 0.2536 0.816 0.004 0.000 0.000 0.128 0.868
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0510 0.649 0.000 0.984 0.000 0.016 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 5 0.3734 0.791 0.000 0.060 0.000 0.128 0.812
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 5 0.0671 0.839 0.000 0.004 0.000 0.016 0.980
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.3696 0.622 0.000 0.772 0.000 0.016 0.212
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 5 0.1704 0.840 0.004 0.000 0.000 0.068 0.928
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.2519 0.812 0.016 0.000 0.000 0.884 0.100
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 5 0.2798 0.808 0.008 0.000 0.000 0.140 0.852
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.3493 0.813 0.060 0.000 0.000 0.832 0.108
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.985 0.000 0.000 1.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0162 0.867 0.996 0.000 0.000 0.004 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0162 0.867 0.996 0.000 0.000 0.004 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0162 0.867 0.996 0.000 0.000 0.004 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.2864 0.689 0.000 0.852 0.000 0.012 0.136
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.3696 0.622 0.000 0.772 0.000 0.016 0.212
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 5 0.3565 0.775 0.024 0.000 0.000 0.176 0.800
#> 851B9B77-547A-43CC-B939-428E0A26C67C 5 0.0727 0.839 0.004 0.004 0.000 0.012 0.980
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.4262 0.688 0.004 0.696 0.000 0.012 0.288
#> B56D29F2-ADF4-43B9-9013-071466244B4A 5 0.0566 0.840 0.004 0.000 0.000 0.012 0.984
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.985 0.000 0.000 1.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 5 0.2719 0.738 0.144 0.000 0.000 0.004 0.852
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 5 0.0324 0.841 0.000 0.004 0.000 0.004 0.992
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.649 0.000 1.000 0.000 0.000 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.2782 0.814 0.048 0.000 0.000 0.880 0.072
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.4640 0.288 0.000 0.400 0.000 0.016 0.584
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.3544 0.717 0.008 0.004 0.000 0.788 0.200
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.1908 0.937 0.000 0.000 0.908 0.092 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.1608 0.839 0.928 0.000 0.000 0.072 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.985 0.000 0.000 1.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 5 0.1831 0.837 0.004 0.000 0.000 0.076 0.920
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.4781 0.705 0.012 0.052 0.000 0.724 0.212
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0566 0.863 0.984 0.000 0.000 0.004 0.012
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 5 0.0324 0.841 0.004 0.000 0.000 0.004 0.992
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 5 0.1442 0.839 0.004 0.012 0.000 0.032 0.952
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.2852 0.753 0.828 0.000 0.000 0.172 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 5 0.3476 0.776 0.020 0.000 0.000 0.176 0.804
#> C6D88493-258C-481E-B3A4-75DA86C25C43 5 0.0451 0.841 0.004 0.000 0.000 0.008 0.988
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.3934 0.619 0.008 0.000 0.000 0.716 0.276
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 5 0.4487 0.650 0.000 0.140 0.000 0.104 0.756
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 5 0.1522 0.817 0.000 0.044 0.000 0.012 0.944
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 5 0.3399 0.784 0.020 0.000 0.000 0.168 0.812
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 5 0.2438 0.815 0.060 0.000 0.000 0.040 0.900
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 5 0.1106 0.837 0.000 0.012 0.000 0.024 0.964
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.3163 0.632 0.000 0.824 0.000 0.012 0.164
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 5 0.1121 0.823 0.044 0.000 0.000 0.000 0.956
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.2011 0.669 0.000 0.908 0.000 0.004 0.088
#> 89430A30-8758-4E5B-8186-999EA234E39A 5 0.0290 0.842 0.000 0.000 0.000 0.008 0.992
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 5 0.1965 0.839 0.024 0.000 0.000 0.052 0.924
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 5 0.3663 0.637 0.000 0.208 0.000 0.016 0.776
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.6853 0.319 0.004 0.300 0.000 0.420 0.276
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.2712 0.813 0.032 0.000 0.000 0.880 0.088
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.5588 0.663 0.000 0.604 0.000 0.104 0.292
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.2448 0.670 0.000 0.892 0.000 0.020 0.088
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 4 0.3231 0.664 0.000 0.004 0.000 0.800 0.196
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 5 0.1522 0.825 0.000 0.044 0.000 0.012 0.944
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.2852 0.753 0.828 0.000 0.000 0.172 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.4130 0.689 0.000 0.696 0.000 0.012 0.292
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.4130 0.689 0.000 0.696 0.000 0.012 0.292
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 5 0.4504 0.124 0.000 0.428 0.000 0.008 0.564
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.2773 0.803 0.020 0.000 0.000 0.868 0.112
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.4067 0.684 0.000 0.692 0.000 0.008 0.300
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 5 0.0324 0.841 0.004 0.000 0.000 0.004 0.992
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.2669 0.803 0.104 0.000 0.000 0.876 0.020
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0290 0.864 0.992 0.000 0.000 0.000 0.008
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 5 0.1608 0.840 0.000 0.000 0.000 0.072 0.928
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 5 0.0451 0.842 0.004 0.000 0.000 0.008 0.988
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.1364 0.661 0.000 0.952 0.000 0.012 0.036
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.649 0.000 1.000 0.000 0.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.4841 0.705 0.084 0.000 0.000 0.708 0.208
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 5 0.2953 0.739 0.000 0.144 0.000 0.012 0.844
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.3493 0.787 0.832 0.000 0.000 0.108 0.060
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.985 0.000 0.000 1.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 5 0.3171 0.783 0.008 0.000 0.000 0.176 0.816
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.5872 0.421 0.600 0.000 0.000 0.168 0.232
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 5 0.4583 -0.324 0.004 0.464 0.000 0.004 0.528
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 5 0.3171 0.784 0.008 0.000 0.000 0.176 0.816
#> 3E070741-BBA0-4806-8D74-08595E249252 5 0.4797 0.706 0.104 0.000 0.000 0.172 0.724
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 5 0.3527 0.780 0.024 0.000 0.000 0.172 0.804
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.1410 0.823 0.940 0.000 0.000 0.060 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.4382 0.592 0.288 0.000 0.000 0.688 0.024
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.985 0.000 0.000 1.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 5 0.2891 0.762 0.176 0.000 0.000 0.000 0.824
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.4130 0.689 0.000 0.696 0.000 0.012 0.292
#> 4CA559EF-D8B9-400B-972C-693257124C3D 5 0.4183 0.338 0.008 0.000 0.000 0.324 0.668
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 5 0.0566 0.838 0.000 0.004 0.000 0.012 0.984
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.2723 0.629 0.000 0.864 0.000 0.012 0.124
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 5 0.3550 0.772 0.020 0.000 0.000 0.184 0.796
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.5588 0.663 0.000 0.604 0.000 0.104 0.292
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 5 0.4718 0.247 0.000 0.444 0.000 0.016 0.540
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0404 0.646 0.000 0.988 0.000 0.012 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.4247 0.765 0.092 0.000 0.000 0.776 0.132
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.3727 0.619 0.000 0.768 0.000 0.016 0.216
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.4666 0.322 0.000 0.572 0.000 0.016 0.412
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 5 0.0510 0.842 0.000 0.000 0.000 0.016 0.984
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.4269 0.753 0.056 0.000 0.000 0.756 0.188
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.649 0.000 1.000 0.000 0.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.867 1.000 0.000 0.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.2573 0.794 0.104 0.000 0.000 0.880 0.016
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.985 0.000 0.000 1.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0162 0.866 0.996 0.000 0.000 0.000 0.004
#> D227D812-6DF9-4954-9A50-6EBF6486116C 5 0.2554 0.814 0.072 0.000 0.000 0.036 0.892
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 5 0.0162 0.840 0.004 0.000 0.000 0.000 0.996
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.4351 0.503 0.000 0.768 0.132 0.100 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 5 0.2843 0.799 0.008 0.000 0.000 0.144 0.848
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0404 0.646 0.000 0.988 0.000 0.012 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.2522 0.812 0.012 0.000 0.000 0.880 0.108
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.4130 0.689 0.000 0.696 0.000 0.012 0.292
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0162 0.867 0.996 0.000 0.000 0.004 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0162 0.867 0.996 0.000 0.000 0.004 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.2573 0.799 0.104 0.000 0.000 0.880 0.016
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 5 0.0324 0.840 0.004 0.000 0.000 0.004 0.992
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.4494 0.581 0.000 0.608 0.000 0.012 0.380
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.6306 0.208 0.500 0.000 0.000 0.172 0.328
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.2770 0.820 0.076 0.000 0.000 0.880 0.044
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 5 0.2953 0.739 0.000 0.144 0.000 0.012 0.844
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0162 0.866 0.996 0.000 0.000 0.000 0.004
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.5051 0.636 0.264 0.000 0.000 0.664 0.072
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 5 0.0324 0.841 0.004 0.000 0.000 0.004 0.992
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.4130 0.689 0.000 0.696 0.000 0.012 0.292
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 5 0.2389 0.822 0.004 0.000 0.000 0.116 0.880
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.3003 0.733 0.812 0.000 0.000 0.000 0.188
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 5 0.0162 0.841 0.000 0.000 0.000 0.004 0.996
#> C7698440-CD13-438F-A60F-063D94C9ECAD 5 0.3438 0.778 0.020 0.000 0.000 0.172 0.808
#> 57787823-A815-4783-930C-A5752E48FFBA 5 0.0486 0.841 0.004 0.004 0.000 0.004 0.988
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 5 0.2230 0.779 0.116 0.000 0.000 0.000 0.884
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 5 0.4593 0.515 0.000 0.184 0.000 0.080 0.736
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.3639 0.739 0.024 0.000 0.000 0.792 0.184
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.4482 0.311 0.000 0.612 0.000 0.012 0.376
#> B11753A0-829F-4913-B894-F07A53FF1C92 5 0.2946 0.795 0.088 0.000 0.000 0.044 0.868
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 5 0.0566 0.838 0.000 0.004 0.000 0.012 0.984
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 5 0.0162 0.840 0.004 0.000 0.000 0.000 0.996
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 5 0.0000 0.840 0.000 0.000 0.000 0.000 1.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.4496 0.694 0.752 0.000 0.000 0.092 0.156
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.3043 0.823 0.056 0.000 0.000 0.864 0.080
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 5 0.2929 0.759 0.180 0.000 0.000 0.000 0.820
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 5 0.0000 0.840 0.000 0.000 0.000 0.000 1.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.2754 0.818 0.080 0.000 0.000 0.880 0.040
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 5 0.2424 0.730 0.000 0.132 0.000 0.000 0.868
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.2629 0.628 0.000 0.860 0.000 0.004 0.136
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 5 0.4682 0.169 0.000 0.420 0.000 0.016 0.564
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 5 0.2286 0.826 0.004 0.000 0.000 0.108 0.888
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.867 1.000 0.000 0.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.867 1.000 0.000 0.000 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.2732 0.755 0.840 0.000 0.000 0.000 0.160
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.2653 0.811 0.024 0.000 0.000 0.880 0.096
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.3454 0.747 0.816 0.000 0.000 0.028 0.156
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.4494 0.581 0.000 0.608 0.000 0.012 0.380
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.1908 0.937 0.000 0.000 0.908 0.092 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 5 0.1205 0.845 0.004 0.000 0.000 0.040 0.956
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.867 1.000 0.000 0.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.4130 0.689 0.000 0.696 0.000 0.012 0.292
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.2726 0.822 0.064 0.000 0.000 0.884 0.052
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 5 0.1041 0.845 0.004 0.000 0.000 0.032 0.964
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.5596 0.436 0.000 0.304 0.000 0.100 0.596
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.985 0.000 0.000 1.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.5588 0.663 0.000 0.604 0.000 0.104 0.292
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 5 0.2921 0.716 0.004 0.148 0.000 0.004 0.844
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 5 0.3439 0.778 0.008 0.004 0.000 0.188 0.800
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0290 0.864 0.992 0.000 0.000 0.000 0.008
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 5 0.0794 0.845 0.000 0.000 0.000 0.028 0.972
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.2471 0.774 0.136 0.000 0.000 0.864 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.4650 0.370 0.000 0.520 0.000 0.012 0.468
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.2732 0.765 0.840 0.000 0.000 0.160 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.985 0.000 0.000 1.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 5 0.0162 0.840 0.000 0.004 0.000 0.000 0.996
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 5 0.2583 0.816 0.004 0.000 0.000 0.132 0.864
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.4130 0.689 0.000 0.696 0.000 0.012 0.292
#> CC008807-7264-4593-966F-104992B35873 2 0.4130 0.689 0.000 0.696 0.000 0.012 0.292
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0324 0.867 0.992 0.000 0.000 0.004 0.004
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0162 0.867 0.996 0.000 0.000 0.004 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.2694 0.819 0.076 0.000 0.000 0.884 0.040
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 5 0.0162 0.841 0.000 0.000 0.000 0.004 0.996
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.4724 0.728 0.104 0.000 0.000 0.732 0.164
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 5 0.3280 0.783 0.012 0.000 0.000 0.176 0.812
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.4752 0.677 0.724 0.000 0.000 0.092 0.184
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.649 0.000 1.000 0.000 0.000 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 5 0.3525 0.778 0.008 0.008 0.000 0.184 0.800
#> 67E92530-3B19-424C-B219-958A88909046 1 0.2127 0.815 0.892 0.000 0.000 0.108 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 5 0.1270 0.817 0.052 0.000 0.000 0.000 0.948
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 5 0.3476 0.776 0.020 0.000 0.000 0.176 0.804
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 5 0.1557 0.816 0.052 0.000 0.000 0.008 0.940
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.1204 0.759 0.000 0.944 0.000 0.000 0.056 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 6 0.0291 0.858 0.000 0.004 0.000 0.004 0.000 0.992
#> B626F298-622E-4C4F-8217-71D1234A6670 6 0.2300 0.828 0.000 0.000 0.000 0.144 0.000 0.856
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.2178 0.687 0.000 0.868 0.000 0.000 0.132 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 6 0.5174 0.581 0.000 0.140 0.000 0.016 0.184 0.660
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 6 0.1204 0.849 0.000 0.056 0.000 0.000 0.000 0.944
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.2814 0.849 0.000 0.008 0.000 0.000 0.820 0.172
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 6 0.1267 0.859 0.000 0.000 0.000 0.060 0.000 0.940
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.0603 0.869 0.004 0.000 0.000 0.980 0.000 0.016
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 6 0.2260 0.834 0.000 0.000 0.000 0.140 0.000 0.860
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.1391 0.858 0.016 0.000 0.000 0.944 0.000 0.040
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.964 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.875 1.000 0.000 0.000 0.000 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.875 1.000 0.000 0.000 0.000 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.875 1.000 0.000 0.000 0.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.4141 0.326 0.000 0.596 0.000 0.000 0.016 0.388
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.2814 0.849 0.000 0.008 0.000 0.000 0.820 0.172
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 6 0.2838 0.802 0.004 0.000 0.000 0.188 0.000 0.808
#> 851B9B77-547A-43CC-B939-428E0A26C67C 6 0.2597 0.766 0.000 0.176 0.000 0.000 0.000 0.824
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.2340 0.665 0.000 0.852 0.000 0.000 0.000 0.148
#> B56D29F2-ADF4-43B9-9013-071466244B4A 6 0.1141 0.850 0.000 0.052 0.000 0.000 0.000 0.948
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.964 0.000 0.000 1.000 0.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 6 0.2048 0.780 0.120 0.000 0.000 0.000 0.000 0.880
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 6 0.0405 0.859 0.000 0.008 0.000 0.004 0.000 0.988
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.1204 0.759 0.000 0.944 0.000 0.000 0.056 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.0914 0.866 0.016 0.000 0.000 0.968 0.000 0.016
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.2631 0.847 0.000 0.000 0.000 0.000 0.820 0.180
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.2980 0.645 0.000 0.000 0.000 0.800 0.008 0.192
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.3071 0.850 0.000 0.000 0.804 0.016 0.180 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.1267 0.851 0.940 0.000 0.000 0.060 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.964 0.000 0.000 1.000 0.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 6 0.2048 0.837 0.000 0.000 0.000 0.120 0.000 0.880
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.3189 0.680 0.000 0.000 0.000 0.796 0.184 0.020
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0692 0.864 0.976 0.000 0.000 0.004 0.000 0.020
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 6 0.0146 0.858 0.000 0.000 0.000 0.004 0.000 0.996
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 6 0.2420 0.832 0.000 0.000 0.000 0.040 0.076 0.884
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.2697 0.758 0.812 0.000 0.000 0.188 0.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 6 0.2697 0.804 0.000 0.000 0.000 0.188 0.000 0.812
#> C6D88493-258C-481E-B3A4-75DA86C25C43 6 0.0146 0.858 0.000 0.000 0.000 0.004 0.000 0.996
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.3244 0.521 0.000 0.000 0.000 0.732 0.000 0.268
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 6 0.5511 0.485 0.000 0.188 0.000 0.016 0.180 0.616
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 6 0.2631 0.766 0.000 0.180 0.000 0.000 0.000 0.820
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 6 0.3046 0.798 0.012 0.000 0.000 0.188 0.000 0.800
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 6 0.2214 0.840 0.016 0.000 0.000 0.096 0.000 0.888
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 6 0.2597 0.766 0.000 0.176 0.000 0.000 0.000 0.824
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 5 0.3270 0.758 0.000 0.120 0.000 0.000 0.820 0.060
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 6 0.0508 0.857 0.012 0.004 0.000 0.000 0.000 0.984
#> 081452CB-9401-4678-9BA2-431CB2ECF105 5 0.2814 0.849 0.000 0.008 0.000 0.000 0.820 0.172
#> 89430A30-8758-4E5B-8186-999EA234E39A 6 0.0405 0.860 0.000 0.004 0.000 0.008 0.000 0.988
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 6 0.0937 0.860 0.000 0.000 0.000 0.040 0.000 0.960
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 6 0.3620 0.441 0.000 0.000 0.000 0.000 0.352 0.648
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 5 0.4967 0.607 0.004 0.000 0.000 0.244 0.644 0.108
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.0508 0.867 0.004 0.000 0.000 0.984 0.000 0.012
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.3071 0.654 0.000 0.804 0.000 0.016 0.180 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 5 0.4893 0.709 0.000 0.172 0.000 0.000 0.660 0.168
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 4 0.5283 0.535 0.000 0.004 0.000 0.620 0.180 0.196
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 6 0.1327 0.847 0.000 0.064 0.000 0.000 0.000 0.936
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.2697 0.758 0.812 0.000 0.000 0.188 0.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.779 0.000 1.000 0.000 0.000 0.000 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.779 0.000 1.000 0.000 0.000 0.000 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 6 0.5941 -0.163 0.000 0.236 0.000 0.000 0.316 0.448
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.1141 0.844 0.000 0.000 0.000 0.948 0.000 0.052
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.3727 0.388 0.000 0.612 0.000 0.000 0.000 0.388
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 6 0.0000 0.858 0.000 0.000 0.000 0.000 0.000 1.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.0692 0.869 0.020 0.000 0.000 0.976 0.000 0.004
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.875 1.000 0.000 0.000 0.000 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 6 0.2633 0.838 0.000 0.032 0.000 0.104 0.000 0.864
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 6 0.0146 0.858 0.000 0.000 0.000 0.004 0.000 0.996
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 5 0.4897 0.554 0.000 0.292 0.000 0.000 0.616 0.092
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.2631 0.657 0.000 0.820 0.000 0.000 0.180 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.3245 0.707 0.016 0.004 0.000 0.796 0.000 0.184
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 6 0.2048 0.827 0.000 0.120 0.000 0.000 0.000 0.880
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.3023 0.795 0.836 0.000 0.000 0.120 0.000 0.044
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.964 0.000 0.000 1.000 0.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 6 0.2697 0.804 0.000 0.000 0.000 0.188 0.000 0.812
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.5309 0.478 0.596 0.000 0.000 0.176 0.000 0.228
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 6 0.0458 0.858 0.000 0.016 0.000 0.000 0.000 0.984
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 6 0.2697 0.804 0.000 0.000 0.000 0.188 0.000 0.812
#> 3E070741-BBA0-4806-8D74-08595E249252 6 0.4252 0.734 0.088 0.000 0.000 0.188 0.000 0.724
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 6 0.2697 0.804 0.000 0.000 0.000 0.188 0.000 0.812
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0458 0.863 0.984 0.000 0.000 0.016 0.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.2941 0.664 0.220 0.000 0.000 0.780 0.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.964 0.000 0.000 1.000 0.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 6 0.2454 0.797 0.160 0.000 0.000 0.000 0.000 0.840
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0000 0.779 0.000 1.000 0.000 0.000 0.000 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 6 0.3789 0.430 0.004 0.004 0.000 0.324 0.000 0.668
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 6 0.1204 0.849 0.000 0.056 0.000 0.000 0.000 0.944
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 5 0.2738 0.679 0.000 0.176 0.000 0.000 0.820 0.004
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 6 0.2823 0.793 0.000 0.000 0.000 0.204 0.000 0.796
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.3071 0.654 0.000 0.804 0.000 0.016 0.180 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 5 0.2631 0.847 0.000 0.000 0.000 0.000 0.820 0.180
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#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.875 1.000 0.000 0.000 0.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.0603 0.870 0.016 0.000 0.000 0.980 0.000 0.004
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#> D227D812-6DF9-4954-9A50-6EBF6486116C 6 0.2163 0.842 0.016 0.000 0.000 0.092 0.000 0.892
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 6 0.0000 0.858 0.000 0.000 0.000 0.000 0.000 1.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.0260 0.657 0.000 0.008 0.000 0.000 0.992 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 6 0.1663 0.848 0.000 0.000 0.000 0.088 0.000 0.912
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.3428 0.418 0.000 0.696 0.000 0.000 0.304 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.0603 0.869 0.004 0.000 0.000 0.980 0.000 0.016
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.779 0.000 1.000 0.000 0.000 0.000 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.875 1.000 0.000 0.000 0.000 0.000 0.000
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#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.0458 0.869 0.016 0.000 0.000 0.984 0.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 6 0.0146 0.858 0.000 0.004 0.000 0.000 0.000 0.996
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.3737 0.328 0.000 0.608 0.000 0.000 0.000 0.392
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.5754 0.242 0.484 0.000 0.000 0.188 0.000 0.328
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.0603 0.870 0.016 0.000 0.000 0.980 0.000 0.004
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 6 0.1610 0.840 0.000 0.084 0.000 0.000 0.000 0.916
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.875 1.000 0.000 0.000 0.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.3952 0.675 0.212 0.000 0.000 0.736 0.000 0.052
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 6 0.0000 0.858 0.000 0.000 0.000 0.000 0.000 1.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0260 0.778 0.000 0.992 0.000 0.000 0.000 0.008
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 6 0.1958 0.850 0.004 0.000 0.000 0.100 0.000 0.896
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.2738 0.740 0.820 0.004 0.000 0.000 0.000 0.176
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 6 0.0146 0.858 0.000 0.000 0.000 0.004 0.000 0.996
#> C7698440-CD13-438F-A60F-063D94C9ECAD 6 0.2697 0.804 0.000 0.000 0.000 0.188 0.000 0.812
#> 57787823-A815-4783-930C-A5752E48FFBA 6 0.0146 0.858 0.000 0.000 0.000 0.004 0.000 0.996
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 6 0.1610 0.825 0.084 0.000 0.000 0.000 0.000 0.916
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 6 0.3653 0.742 0.000 0.048 0.000 0.016 0.132 0.804
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.2595 0.705 0.004 0.000 0.000 0.836 0.000 0.160
#> 08C4C14A-94A8-4063-BBC3-916579960078 5 0.2631 0.847 0.000 0.000 0.000 0.000 0.820 0.180
#> B11753A0-829F-4913-B894-F07A53FF1C92 6 0.2842 0.823 0.044 0.000 0.000 0.104 0.000 0.852
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 6 0.1075 0.852 0.000 0.048 0.000 0.000 0.000 0.952
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 6 0.0000 0.858 0.000 0.000 0.000 0.000 0.000 1.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 6 0.0146 0.858 0.000 0.004 0.000 0.000 0.000 0.996
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.3907 0.740 0.764 0.000 0.000 0.152 0.000 0.084
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.1088 0.867 0.016 0.000 0.000 0.960 0.000 0.024
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 6 0.2527 0.791 0.168 0.000 0.000 0.000 0.000 0.832
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 6 0.0291 0.860 0.000 0.004 0.000 0.004 0.000 0.992
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.0603 0.870 0.016 0.000 0.000 0.980 0.000 0.004
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 6 0.2730 0.686 0.000 0.000 0.000 0.000 0.192 0.808
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 5 0.2631 0.672 0.000 0.180 0.000 0.000 0.820 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 5 0.2631 0.847 0.000 0.000 0.000 0.000 0.820 0.180
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 6 0.2178 0.834 0.000 0.000 0.000 0.132 0.000 0.868
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.875 1.000 0.000 0.000 0.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.875 1.000 0.000 0.000 0.000 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.1714 0.823 0.908 0.000 0.000 0.000 0.000 0.092
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.0891 0.865 0.008 0.000 0.000 0.968 0.000 0.024
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.3175 0.792 0.832 0.000 0.000 0.080 0.000 0.088
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 6 0.3151 0.711 0.000 0.252 0.000 0.000 0.000 0.748
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.3071 0.850 0.000 0.000 0.804 0.016 0.180 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 6 0.0865 0.861 0.000 0.000 0.000 0.036 0.000 0.964
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.875 1.000 0.000 0.000 0.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0000 0.779 0.000 1.000 0.000 0.000 0.000 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.0603 0.870 0.016 0.000 0.000 0.980 0.000 0.004
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 6 0.0363 0.860 0.000 0.000 0.000 0.012 0.000 0.988
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.2631 0.847 0.000 0.000 0.000 0.000 0.820 0.180
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.964 0.000 0.000 1.000 0.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 6 0.5341 0.560 0.000 0.164 0.000 0.016 0.180 0.640
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 6 0.3706 0.360 0.000 0.380 0.000 0.000 0.000 0.620
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 6 0.4718 0.697 0.000 0.124 0.000 0.200 0.000 0.676
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.875 1.000 0.000 0.000 0.000 0.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 6 0.0146 0.859 0.000 0.000 0.000 0.004 0.000 0.996
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.1007 0.857 0.044 0.000 0.000 0.956 0.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.3684 0.362 0.000 0.628 0.000 0.000 0.000 0.372
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.2491 0.780 0.836 0.000 0.000 0.164 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.964 0.000 0.000 1.000 0.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 6 0.0146 0.858 0.000 0.004 0.000 0.000 0.000 0.996
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 6 0.2340 0.827 0.000 0.000 0.000 0.148 0.000 0.852
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.779 0.000 1.000 0.000 0.000 0.000 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0146 0.778 0.000 0.996 0.000 0.000 0.000 0.004
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.875 1.000 0.000 0.000 0.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.875 1.000 0.000 0.000 0.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.0458 0.869 0.016 0.000 0.000 0.984 0.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 6 0.0291 0.858 0.000 0.004 0.000 0.004 0.000 0.992
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.2600 0.816 0.036 0.004 0.000 0.876 0.000 0.084
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 6 0.2632 0.821 0.000 0.004 0.000 0.164 0.000 0.832
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.5449 0.582 0.640 0.004 0.000 0.016 0.172 0.168
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.2668 0.670 0.000 0.828 0.000 0.000 0.168 0.004
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 6 0.2946 0.807 0.000 0.000 0.000 0.176 0.012 0.812
#> 67E92530-3B19-424C-B219-958A88909046 1 0.1957 0.821 0.888 0.000 0.000 0.112 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 6 0.0508 0.857 0.012 0.004 0.000 0.000 0.000 0.984
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 6 0.2631 0.810 0.000 0.000 0.000 0.180 0.000 0.820
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 6 0.0767 0.856 0.012 0.004 0.000 0.008 0.000 0.976
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17604 rows and 183 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 0.991 0.995 0.2061 0.787 0.787
#> 3 3 0.343 0.753 0.833 1.6277 0.617 0.514
#> 4 4 0.332 0.624 0.783 0.0742 0.804 0.627
#> 5 5 0.323 0.416 0.700 0.1658 0.855 0.686
#> 6 6 0.517 0.495 0.724 0.1367 0.761 0.375
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 1 0.0000 1.000 1.000 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.0000 1.000 1.000 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.0000 1.000 1.000 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 1 0.0000 1.000 1.000 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.0000 1.000 1.000 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 1 0.0000 1.000 1.000 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 1 0.0000 1.000 1.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.0000 1.000 1.000 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 1.000 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.0000 1.000 1.000 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 1.000 1.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.0000 0.959 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 2 0.0000 0.959 0.000 1.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 2 0.0000 0.959 0.000 1.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 1.000 1.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 1 0.0000 1.000 1.000 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 1 0.0000 1.000 1.000 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 1.000 1.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 1 0.0000 1.000 1.000 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 1 0.0000 1.000 1.000 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 1 0.0000 1.000 1.000 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.0000 0.959 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 1.000 1.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.0000 1.000 1.000 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 1 0.0376 0.996 0.996 0.004
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 1.000 1.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 1 0.0000 1.000 1.000 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.0000 1.000 1.000 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.0000 0.959 0.000 1.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 1.000 1.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.0000 0.959 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 1.000 1.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0376 0.996 0.996 0.004
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 1.000 1.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.0000 1.000 1.000 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 1 0.0000 1.000 1.000 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 1.000 1.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0000 1.000 1.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.0000 1.000 1.000 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.0000 1.000 1.000 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.7219 0.792 0.200 0.800
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 1 0.0000 1.000 1.000 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 1.000 1.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0000 1.000 1.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 1 0.0000 1.000 1.000 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 1 0.0000 1.000 1.000 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.0000 1.000 1.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 1 0.0000 1.000 1.000 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.0000 1.000 1.000 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 1.000 1.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 1 0.0000 1.000 1.000 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.0000 1.000 1.000 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 1.000 1.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.2948 0.935 0.052 0.948
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 1 0.0000 1.000 1.000 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 2 0.7139 0.797 0.196 0.804
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 1 0.0000 1.000 1.000 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 1.000 1.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 1 0.0000 1.000 1.000 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 1 0.0000 1.000 1.000 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 1 0.0000 1.000 1.000 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0000 1.000 1.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 1 0.0000 1.000 1.000 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0000 1.000 1.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 1.000 1.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 1.000 1.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.0000 1.000 1.000 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.0000 1.000 1.000 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 1 0.0000 1.000 1.000 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 1 0.0000 1.000 1.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 1.000 1.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 1 0.0000 1.000 1.000 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 1.000 1.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.0000 0.959 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 1.000 1.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 1.000 1.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 1 0.0000 1.000 1.000 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0000 1.000 1.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 1.000 1.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.0000 1.000 1.000 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 2 0.0000 0.959 0.000 1.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 1.000 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.0000 0.959 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.0000 1.000 1.000 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 1 0.0000 1.000 1.000 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 1.000 1.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 1 0.0000 1.000 1.000 0.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 1 0.0000 1.000 1.000 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0000 1.000 1.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.6438 0.837 0.164 0.836
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 1 0.0000 1.000 1.000 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 1 0.0000 1.000 1.000 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 1.000 1.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 1 0.0000 1.000 1.000 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 1 0.0000 1.000 1.000 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.0000 1.000 1.000 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0000 1.000 1.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 1 0.0000 1.000 1.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 1.000 1.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 1.000 1.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 2 0.0000 0.959 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 1.000 1.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 1.000 1.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 1 0.0000 1.000 1.000 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0000 0.959 0.000 1.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.0000 1.000 1.000 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 1 0.0000 1.000 1.000 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0000 1.000 1.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 1 0.0000 1.000 1.000 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 1.000 1.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 1.000 1.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 1.000 1.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 1 0.0000 1.000 1.000 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 1 0.0000 1.000 1.000 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0000 1.000 1.000 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 1.000 1.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 1 0.0000 1.000 1.000 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 1.000 1.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0000 1.000 1.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 1.000 1.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 1 0.0000 1.000 1.000 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 1.000 1.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 2 0.5737 0.867 0.136 0.864
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.0000 1.000 1.000 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.0000 1.000 1.000 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 1 0.0000 1.000 1.000 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0000 1.000 1.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 1 0.0000 1.000 1.000 0.000
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 1.000 1.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 1 0.0376 0.996 0.996 0.004
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 1.000 1.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 1 0.0000 1.000 1.000 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 1 0.0000 1.000 1.000 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.0000 1.000 1.000 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 1.000 1.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0376 0.996 0.996 0.004
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.0000 1.000 1.000 0.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.0000 1.000 1.000 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 1.000 1.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 1 0.0000 1.000 1.000 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 1 0.0000 1.000 1.000 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 1 0.0000 1.000 1.000 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.0000 1.000 1.000 0.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 1.000 1.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 1.000 1.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.0000 1.000 1.000 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 1.000 1.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 1.000 1.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 1 0.0000 1.000 1.000 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.0000 0.959 0.000 1.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 1 0.0000 1.000 1.000 0.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 1.000 1.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 1 0.0000 1.000 1.000 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 1.000 1.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.0000 1.000 1.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 1 0.0000 1.000 1.000 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.0000 0.959 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.3431 0.928 0.064 0.936
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 1 0.0000 1.000 1.000 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.0000 1.000 1.000 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 2 0.0000 0.959 0.000 1.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 1 0.0000 1.000 1.000 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 1.000 1.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 1 0.0000 1.000 1.000 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 1.000 1.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.0000 0.959 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 1 0.0000 1.000 1.000 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.0000 1.000 1.000 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 1 0.0000 1.000 1.000 0.000
#> CC008807-7264-4593-966F-104992B35873 1 0.0000 1.000 1.000 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 1.000 1.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 1.000 1.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 1.000 1.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.0000 1.000 1.000 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0376 0.996 0.996 0.004
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.0000 1.000 1.000 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 2 0.3114 0.933 0.056 0.944
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 1 0.0000 1.000 1.000 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.0000 1.000 1.000 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 1.000 1.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 1.000 1.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 1.000 1.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0000 1.000 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.2400 0.8233 0.064 0.932 0.004
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.5760 0.7466 0.328 0.672 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.6286 0.3889 0.464 0.536 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.2945 0.8449 0.088 0.908 0.004
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.5254 0.8285 0.264 0.736 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.5397 0.8125 0.280 0.720 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.4931 0.8446 0.232 0.768 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.6045 0.3060 0.620 0.380 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.3116 0.7833 0.892 0.108 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.6168 0.5568 0.412 0.588 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0424 0.8005 0.992 0.008 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.8897 0.000 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 3 0.6693 0.8544 0.148 0.104 0.748
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 3 0.6621 0.8548 0.148 0.100 0.752
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.2711 0.7738 0.912 0.088 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.2448 0.8370 0.076 0.924 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.4399 0.8566 0.188 0.812 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.3482 0.7712 0.872 0.128 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.5216 0.8283 0.260 0.740 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.2711 0.8460 0.088 0.912 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.3752 0.8452 0.144 0.856 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.8897 0.000 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.3551 0.7895 0.868 0.132 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.6309 0.1128 0.500 0.500 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.2400 0.8233 0.064 0.932 0.004
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.2356 0.7976 0.928 0.072 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.4399 0.8566 0.188 0.812 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.4654 0.6949 0.792 0.208 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 0.8897 0.000 0.000 1.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0424 0.7988 0.992 0.008 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.8897 0.000 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.5397 0.5830 0.720 0.280 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.1529 0.7948 0.960 0.040 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.3038 0.7628 0.896 0.104 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.6225 0.1138 0.568 0.432 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.5678 0.7672 0.316 0.684 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.1860 0.8058 0.948 0.052 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.4504 0.7104 0.804 0.196 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.6204 0.1200 0.576 0.424 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.5098 0.6370 0.752 0.248 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.7309 0.8329 0.168 0.124 0.708
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.4842 0.8424 0.224 0.776 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.4178 0.7361 0.828 0.172 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.4605 0.7106 0.796 0.204 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.5431 0.8090 0.284 0.716 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.4346 0.8549 0.184 0.816 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.7875 0.4082 0.664 0.136 0.200
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.3267 0.8544 0.116 0.884 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.5397 0.5800 0.720 0.280 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.2796 0.8039 0.908 0.092 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.4605 0.8546 0.204 0.796 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.5650 0.5591 0.688 0.312 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.7983 1.000 0.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.6827 0.8369 0.080 0.192 0.728
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.2711 0.8460 0.088 0.912 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 3 0.8318 0.7400 0.284 0.116 0.600
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.5178 0.8310 0.256 0.744 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.2165 0.8052 0.936 0.064 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.2945 0.8449 0.088 0.908 0.004
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.2682 0.8351 0.076 0.920 0.004
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.4399 0.8566 0.188 0.812 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.3879 0.7526 0.848 0.152 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.4974 0.8437 0.236 0.764 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.6168 0.1886 0.588 0.412 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.7983 1.000 0.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.3340 0.7497 0.880 0.120 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.5591 0.7845 0.304 0.696 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.5098 0.6391 0.752 0.248 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.4178 0.8568 0.172 0.828 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.2945 0.8449 0.088 0.908 0.004
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0892 0.7979 0.980 0.020 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.3193 0.8507 0.100 0.896 0.004
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.2165 0.7844 0.936 0.064 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.8897 0.000 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.4399 0.7197 0.812 0.188 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.2537 0.8050 0.920 0.080 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.2711 0.8460 0.088 0.912 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.5397 0.5807 0.720 0.280 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.2261 0.7988 0.932 0.068 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.4555 0.7058 0.800 0.200 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 3 0.6271 0.8598 0.140 0.088 0.772
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.2066 0.8005 0.940 0.060 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.8897 0.000 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.5016 0.7071 0.760 0.240 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.2590 0.8313 0.072 0.924 0.004
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.2625 0.7948 0.916 0.084 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.4062 0.8344 0.164 0.836 0.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.4178 0.8568 0.172 0.828 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.4291 0.7268 0.820 0.180 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 3 0.6535 0.8110 0.052 0.220 0.728
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.4654 0.8504 0.208 0.792 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.3340 0.8551 0.120 0.880 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.1163 0.8011 0.972 0.028 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.4399 0.8559 0.188 0.812 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.4750 0.8494 0.216 0.784 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.5529 0.7950 0.296 0.704 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.2448 0.8047 0.924 0.076 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.2590 0.8313 0.072 0.924 0.004
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.3482 0.7406 0.872 0.128 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.7983 1.000 0.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.8897 0.000 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.3192 0.7576 0.888 0.112 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.2959 0.7861 0.900 0.100 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.5216 0.8288 0.260 0.740 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 3 0.4056 0.8830 0.032 0.092 0.876
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.5733 0.4801 0.676 0.324 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.4883 0.8527 0.208 0.788 0.004
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.2356 0.7958 0.928 0.072 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.2860 0.8418 0.084 0.912 0.004
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.2625 0.7744 0.916 0.084 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.3116 0.7604 0.892 0.108 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0237 0.7995 0.996 0.004 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.5397 0.8110 0.280 0.720 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.2711 0.8460 0.088 0.912 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.2261 0.8008 0.932 0.068 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0424 0.8005 0.992 0.008 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.4235 0.8529 0.176 0.824 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.3116 0.7604 0.892 0.108 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.2796 0.7698 0.908 0.092 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.5431 0.5812 0.716 0.284 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.2711 0.8460 0.088 0.912 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.2537 0.7781 0.920 0.080 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.8322 0.7498 0.276 0.120 0.604
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.6026 0.6500 0.376 0.624 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.2537 0.8018 0.920 0.080 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.5178 0.8292 0.256 0.744 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.2796 0.7923 0.908 0.092 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.3325 0.8128 0.076 0.904 0.020
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.1753 0.8025 0.952 0.048 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.6449 0.8160 0.204 0.740 0.056
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.2711 0.7919 0.912 0.088 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.3816 0.8585 0.148 0.852 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.5397 0.8116 0.280 0.720 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.4974 0.6570 0.764 0.236 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0592 0.7987 0.988 0.012 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0892 0.7979 0.980 0.020 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.6154 0.3630 0.592 0.408 0.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.5810 0.4479 0.664 0.336 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.7983 1.000 0.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.4702 0.8526 0.212 0.788 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.2625 0.8435 0.084 0.916 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.5431 0.8093 0.284 0.716 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.6274 0.4178 0.456 0.544 0.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.3482 0.7406 0.872 0.128 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.3340 0.7497 0.880 0.120 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.6122 0.6097 0.776 0.152 0.072
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.3879 0.7522 0.848 0.152 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.3116 0.7604 0.892 0.108 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.2796 0.8477 0.092 0.908 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 0.8897 0.000 0.000 1.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.5497 0.8001 0.292 0.708 0.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.3116 0.7604 0.892 0.108 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.2711 0.8460 0.088 0.912 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.1289 0.8035 0.968 0.032 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.5760 0.4873 0.672 0.328 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 1 0.5948 0.3772 0.640 0.360 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.8897 0.000 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.7042 0.8464 0.140 0.132 0.728
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.5363 0.8174 0.276 0.724 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.6192 0.1395 0.580 0.420 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 3 0.6693 0.8544 0.148 0.104 0.748
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.5465 0.8047 0.288 0.712 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.7983 1.000 0.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.2711 0.8422 0.088 0.912 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.7983 1.000 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.8897 0.000 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.5138 0.8340 0.252 0.748 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.5216 0.6186 0.740 0.260 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.2945 0.8449 0.088 0.908 0.004
#> CC008807-7264-4593-966F-104992B35873 2 0.2711 0.8460 0.088 0.912 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.3192 0.7576 0.888 0.112 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.3267 0.7530 0.884 0.116 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.3619 0.7656 0.864 0.136 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.5431 0.5721 0.716 0.284 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0892 0.7979 0.980 0.020 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.6267 -0.0257 0.548 0.452 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.8350 0.7454 0.280 0.120 0.600
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.2711 0.8460 0.088 0.912 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.5859 0.7166 0.344 0.656 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.1529 0.8033 0.960 0.040 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.3112 0.7692 0.900 0.096 0.004
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.4291 0.7268 0.820 0.180 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.2261 0.7840 0.932 0.068 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.1637 0.727515 0.000 0.940 0.000 0.060
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.4697 0.459776 0.644 0.356 0.000 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.4331 0.581207 0.712 0.288 0.000 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0188 0.735148 0.000 0.996 0.000 0.004
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.6983 0.112097 0.516 0.360 0.000 0.124
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 1 0.4888 0.394897 0.588 0.412 0.000 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.4888 0.359394 0.412 0.588 0.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.3942 0.647560 0.764 0.236 0.000 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.1940 0.716175 0.924 0.000 0.000 0.076
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.4356 0.578098 0.708 0.292 0.000 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.1510 0.736224 0.956 0.028 0.000 0.016
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.915443 0.000 0.000 1.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 4 0.4406 0.571066 0.000 0.000 0.300 0.700
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#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 4 0.5281 0.624290 0.016 0.048 0.180 0.756
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.2816 0.782331 0.064 0.900 0.000 0.036
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.4713 0.455880 0.640 0.360 0.000 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.1824 0.736506 0.936 0.060 0.000 0.004
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.5072 0.629899 0.740 0.052 0.000 0.208
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.2266 0.732876 0.912 0.084 0.000 0.004
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.4872 0.666156 0.776 0.076 0.000 0.148
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.2046 0.6320 0.000 0.916 0.000 0.016 0.068
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.4429 0.3769 0.004 0.256 0.000 0.712 0.028
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.4403 0.3902 0.004 0.240 0.000 0.724 0.032
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.1764 0.6317 0.000 0.928 0.000 0.008 0.064
#> EB246839-8CB3-4B57-985E-DCEE23692361 5 0.6504 0.3748 0.000 0.240 0.000 0.272 0.488
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 4 0.5106 0.1784 0.004 0.400 0.000 0.564 0.032
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.6062 0.3112 0.000 0.464 0.000 0.416 0.120
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.3351 0.4847 0.004 0.132 0.000 0.836 0.028
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.4219 -0.1104 0.000 0.000 0.000 0.584 0.416
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.3847 0.4571 0.004 0.156 0.000 0.800 0.040
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.2690 0.4820 0.000 0.000 0.000 0.844 0.156
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.3123 0.2327 0.812 0.000 0.184 0.004 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.3123 0.2327 0.812 0.000 0.184 0.004 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.7703 0.3223 0.428 0.076 0.000 0.300 0.196
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.2409 0.6455 0.000 0.900 0.000 0.032 0.068
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.6054 0.4782 0.000 0.568 0.000 0.172 0.260
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 4 0.3386 0.5071 0.012 0.068 0.000 0.856 0.064
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.5193 0.1091 0.004 0.484 0.000 0.480 0.032
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.4287 0.6208 0.016 0.792 0.000 0.064 0.128
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.5555 0.4691 0.004 0.636 0.000 0.256 0.104
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 4 0.3975 0.4758 0.000 0.144 0.000 0.792 0.064
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.4737 0.4249 0.008 0.196 0.000 0.732 0.064
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.2694 0.6239 0.032 0.892 0.000 0.008 0.068
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.2561 0.4741 0.000 0.000 0.000 0.856 0.144
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.6262 0.3925 0.000 0.520 0.000 0.304 0.176
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 5 0.4219 0.4785 0.000 0.000 0.000 0.416 0.584
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 4 0.3452 0.4731 0.032 0.000 0.000 0.820 0.148
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.2338 0.5075 0.004 0.112 0.000 0.884 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 5 0.3970 0.3914 0.024 0.000 0.000 0.224 0.752
#> AA838488-4A13-4998-B261-91590113F37D 4 0.7408 0.1477 0.168 0.092 0.000 0.520 0.220
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 4 0.5196 0.2219 0.004 0.380 0.000 0.576 0.040
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 4 0.4430 0.3861 0.004 0.244 0.000 0.720 0.032
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 4 0.3388 0.4362 0.000 0.008 0.000 0.792 0.200
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.2471 0.4682 0.000 0.000 0.000 0.864 0.136
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.4037 0.4532 0.004 0.224 0.000 0.752 0.020
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 5 0.4249 0.4522 0.000 0.000 0.000 0.432 0.568
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.6850 0.2298 0.624 0.116 0.172 0.072 0.016
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.5695 0.1204 0.004 0.484 0.000 0.444 0.068
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 4 0.2685 0.5027 0.000 0.092 0.000 0.880 0.028
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 4 0.2920 0.4749 0.000 0.132 0.000 0.852 0.016
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 4 0.5182 0.0256 0.008 0.384 0.000 0.576 0.032
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.6155 0.3966 0.000 0.516 0.000 0.336 0.148
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 4 0.7935 -0.2135 0.344 0.076 0.004 0.372 0.204
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.3485 0.6296 0.000 0.828 0.000 0.048 0.124
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.5210 0.3620 0.000 0.120 0.000 0.680 0.200
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 4 0.4077 0.4653 0.012 0.124 0.000 0.804 0.060
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.5265 0.5238 0.000 0.636 0.000 0.284 0.080
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 5 0.4438 0.5056 0.004 0.004 0.000 0.384 0.608
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.4088 0.3342 0.004 0.008 0.000 0.712 0.276
#> EFA708D5-586A-4184-B614-48AEFC5E8631 1 0.6434 0.0721 0.524 0.196 0.276 0.000 0.004
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.2504 0.6473 0.000 0.896 0.000 0.040 0.064
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.5445 0.3694 0.692 0.016 0.040 0.228 0.024
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.5199 0.2699 0.004 0.548 0.000 0.412 0.036
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 4 0.3318 0.4451 0.000 0.008 0.000 0.800 0.192
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.1764 0.6317 0.000 0.928 0.000 0.008 0.064
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.1830 0.6302 0.000 0.924 0.000 0.008 0.068
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.6158 0.4393 0.000 0.552 0.000 0.264 0.184
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.4171 -0.1157 0.000 0.000 0.000 0.604 0.396
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.4485 0.4725 0.000 0.680 0.000 0.292 0.028
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 4 0.4533 0.4157 0.004 0.260 0.000 0.704 0.032
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.3563 0.4417 0.012 0.000 0.000 0.780 0.208
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.6932 0.4926 0.568 0.060 0.000 0.180 0.192
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 5 0.6772 0.2068 0.000 0.308 0.000 0.296 0.396
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.2550 0.5074 0.004 0.084 0.000 0.892 0.020
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.5981 0.4985 0.000 0.588 0.000 0.196 0.216
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.1764 0.6317 0.000 0.928 0.000 0.008 0.064
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.4697 0.2947 0.036 0.000 0.000 0.660 0.304
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.6281 0.5525 0.048 0.640 0.000 0.160 0.152
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.5816 0.2358 0.136 0.004 0.000 0.616 0.244
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.0880 0.5160 0.000 0.000 0.000 0.968 0.032
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 4 0.5685 0.3245 0.024 0.084 0.000 0.656 0.236
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.1992 0.6433 0.000 0.924 0.000 0.032 0.044
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.2982 0.5003 0.004 0.116 0.000 0.860 0.020
#> 3E070741-BBA0-4806-8D74-08595E249252 4 0.2124 0.5123 0.000 0.004 0.000 0.900 0.096
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.0833 0.5162 0.004 0.004 0.000 0.976 0.016
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.3662 0.1421 0.744 0.000 0.252 0.004 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.2891 0.4648 0.000 0.000 0.000 0.824 0.176
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 4 0.7815 0.1194 0.128 0.196 0.000 0.476 0.200
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.1830 0.6302 0.000 0.924 0.000 0.008 0.068
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.2179 0.5061 0.000 0.000 0.000 0.888 0.112
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.6704 0.3171 0.044 0.520 0.000 0.332 0.104
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.5971 0.4752 0.000 0.584 0.000 0.244 0.172
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.3074 0.3862 0.000 0.000 0.000 0.804 0.196
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 1 0.6546 0.1630 0.512 0.328 0.144 0.000 0.016
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.6304 0.2961 0.000 0.460 0.000 0.384 0.156
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.6544 0.4949 0.028 0.548 0.000 0.128 0.296
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.3730 0.3618 0.000 0.000 0.000 0.712 0.288
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.6295 0.4768 0.008 0.564 0.000 0.172 0.256
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.6248 0.3145 0.000 0.468 0.000 0.384 0.148
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.4573 0.3501 0.004 0.280 0.000 0.688 0.028
#> 17349241-FDBC-4297-8431-BB9400D87E63 5 0.4138 0.4697 0.000 0.000 0.000 0.384 0.616
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.1830 0.6302 0.000 0.924 0.000 0.008 0.068
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.6904 0.4934 0.572 0.060 0.000 0.180 0.188
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.4520 0.2191 0.008 0.008 0.000 0.644 0.340
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.6958 0.4915 0.564 0.060 0.000 0.180 0.196
#> D227D812-6DF9-4954-9A50-6EBF6486116C 4 0.3822 0.4703 0.012 0.132 0.000 0.816 0.040
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.5257 0.1481 0.004 0.492 0.000 0.468 0.036
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 1 0.8520 -0.0609 0.320 0.200 0.248 0.000 0.232
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.3849 0.4665 0.004 0.136 0.000 0.808 0.052
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.4696 0.3715 0.000 0.556 0.000 0.428 0.016
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.4114 0.0835 0.000 0.000 0.000 0.624 0.376
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.1830 0.6302 0.000 0.924 0.000 0.008 0.068
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.6674 0.2440 0.444 0.004 0.000 0.348 0.204
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.7514 0.3407 0.432 0.056 0.000 0.312 0.200
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.3487 0.4263 0.000 0.008 0.000 0.780 0.212
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 4 0.4812 0.3709 0.004 0.312 0.000 0.652 0.032
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.1753 0.6451 0.000 0.936 0.000 0.032 0.032
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 4 0.2170 0.5121 0.004 0.004 0.000 0.904 0.088
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.3756 0.3876 0.000 0.008 0.000 0.744 0.248
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.4933 0.5215 0.000 0.688 0.000 0.236 0.076
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 4 0.7292 0.0558 0.232 0.052 0.000 0.496 0.220
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.5937 0.2198 0.152 0.004 0.000 0.604 0.240
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 4 0.4321 0.4368 0.004 0.252 0.000 0.720 0.024
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.1764 0.6317 0.000 0.928 0.000 0.008 0.064
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 4 0.6335 0.2688 0.076 0.068 0.000 0.616 0.240
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.5614 0.3607 0.676 0.016 0.052 0.236 0.020
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.3264 0.4835 0.004 0.140 0.000 0.836 0.020
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.3243 0.4615 0.004 0.004 0.000 0.812 0.180
#> 57787823-A815-4783-930C-A5752E48FFBA 4 0.5151 0.2784 0.004 0.364 0.000 0.592 0.040
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 4 0.5555 0.3528 0.020 0.124 0.000 0.688 0.168
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.7296 0.3916 0.152 0.556 0.000 0.140 0.152
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.3388 0.4332 0.000 0.008 0.000 0.792 0.200
#> 08C4C14A-94A8-4063-BBC3-916579960078 5 0.5992 -0.1402 0.044 0.380 0.008 0.024 0.544
#> B11753A0-829F-4913-B894-F07A53FF1C92 4 0.3314 0.4786 0.012 0.124 0.000 0.844 0.020
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.5454 0.5157 0.008 0.664 0.000 0.228 0.100
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 4 0.4944 0.3251 0.004 0.344 0.000 0.620 0.032
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.2928 0.5050 0.004 0.092 0.000 0.872 0.032
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.3074 0.4547 0.000 0.000 0.000 0.804 0.196
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 5 0.4193 0.3583 0.040 0.000 0.000 0.212 0.748
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 4 0.8428 -0.1318 0.196 0.280 0.000 0.336 0.188
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.3340 0.4885 0.004 0.124 0.000 0.840 0.032
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.4275 0.3118 0.008 0.008 0.000 0.696 0.288
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.5627 0.4107 0.000 0.548 0.000 0.368 0.084
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.3656 0.6152 0.000 0.800 0.000 0.032 0.168
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 4 0.6330 -0.2065 0.000 0.384 0.000 0.456 0.160
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.3441 0.4794 0.004 0.140 0.000 0.828 0.028
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.6958 0.4915 0.564 0.060 0.000 0.180 0.196
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.7013 0.4894 0.560 0.064 0.000 0.180 0.196
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.7041 0.4589 0.560 0.068 0.000 0.188 0.184
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.2732 0.4624 0.000 0.000 0.000 0.840 0.160
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 4 0.7096 0.1990 0.148 0.084 0.000 0.560 0.208
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.2236 0.6426 0.000 0.908 0.000 0.024 0.068
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 4 0.4656 0.3624 0.004 0.256 0.000 0.700 0.040
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.7602 0.4131 0.476 0.080 0.000 0.228 0.216
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.1764 0.6317 0.000 0.928 0.000 0.008 0.064
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.3519 0.4164 0.000 0.008 0.000 0.776 0.216
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 4 0.4508 0.4187 0.004 0.256 0.000 0.708 0.032
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 4 0.6526 -0.1591 0.000 0.344 0.000 0.452 0.204
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.5717 -0.0839 0.540 0.064 0.388 0.004 0.004
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.5064 0.2911 0.004 0.552 0.000 0.416 0.028
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 5 0.6358 0.4074 0.000 0.180 0.000 0.328 0.492
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.3123 0.2327 0.812 0.000 0.184 0.004 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.5180 0.3281 0.004 0.260 0.000 0.664 0.072
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.3455 0.4444 0.008 0.000 0.000 0.784 0.208
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.4022 0.6149 0.052 0.828 0.000 0.064 0.056
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 4 0.3814 0.4731 0.064 0.004 0.000 0.816 0.116
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 1.0000 0.000 0.000 1.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 4 0.5087 0.1975 0.008 0.332 0.000 0.624 0.036
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.2729 0.5058 0.004 0.084 0.000 0.884 0.028
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.1764 0.6317 0.000 0.928 0.000 0.008 0.064
#> CC008807-7264-4593-966F-104992B35873 2 0.2660 0.6240 0.000 0.864 0.000 0.008 0.128
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 4 0.7747 -0.1689 0.292 0.072 0.000 0.416 0.220
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.7014 0.4814 0.556 0.060 0.000 0.192 0.192
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.2966 0.4199 0.000 0.000 0.000 0.816 0.184
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.3304 0.4870 0.004 0.128 0.000 0.840 0.028
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 5 0.5506 0.2060 0.068 0.000 0.000 0.404 0.528
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.4085 0.4255 0.004 0.208 0.000 0.760 0.028
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.4097 0.4274 0.804 0.012 0.044 0.136 0.004
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.5559 0.5624 0.004 0.648 0.000 0.120 0.228
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.5976 -0.1108 0.000 0.400 0.000 0.488 0.112
#> 67E92530-3B19-424C-B219-958A88909046 4 0.2124 0.5128 0.000 0.004 0.000 0.900 0.096
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.5840 0.2002 0.112 0.004 0.000 0.588 0.296
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.1544 0.5104 0.000 0.000 0.000 0.932 0.068
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.6358 0.2691 0.076 0.068 0.000 0.612 0.244
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.2340 0.542810 0.000 0.852 0.000 0.000 0.000 0.148
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 6 0.0146 0.670943 0.000 0.000 0.000 0.004 0.000 0.996
#> B626F298-622E-4C4F-8217-71D1234A6670 6 0.0260 0.669843 0.000 0.000 0.000 0.008 0.000 0.992
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0632 0.655449 0.000 0.976 0.000 0.000 0.000 0.024
#> EB246839-8CB3-4B57-985E-DCEE23692361 5 0.3750 0.405231 0.000 0.020 0.000 0.016 0.764 0.200
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 6 0.4117 0.658402 0.036 0.188 0.000 0.000 0.024 0.752
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.6769 0.086201 0.036 0.328 0.000 0.004 0.400 0.232
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 6 0.0260 0.669843 0.000 0.000 0.000 0.008 0.000 0.992
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 5 0.4845 0.069251 0.004 0.000 0.000 0.384 0.560 0.052
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 6 0.0806 0.660836 0.000 0.000 0.000 0.008 0.020 0.972
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.3512 0.703457 0.008 0.000 0.000 0.720 0.000 0.272
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.996983 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.3907 0.556157 0.780 0.000 0.152 0.052 0.016 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.3907 0.556157 0.780 0.000 0.152 0.052 0.016 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.3370 0.649047 0.812 0.000 0.000 0.064 0.000 0.124
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.2793 0.603913 0.000 0.800 0.000 0.000 0.200 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.6382 0.177245 0.036 0.264 0.000 0.004 0.516 0.180
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 6 0.4423 0.406798 0.060 0.000 0.000 0.272 0.000 0.668
#> 851B9B77-547A-43CC-B939-428E0A26C67C 6 0.4236 0.645948 0.036 0.204 0.000 0.000 0.024 0.736
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.5008 0.498963 0.144 0.688 0.000 0.000 0.020 0.148
#> B56D29F2-ADF4-43B9-9013-071466244B4A 6 0.5126 0.414581 0.048 0.348 0.000 0.000 0.024 0.580
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.996983 0.000 0.000 1.000 0.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 6 0.6443 0.413913 0.060 0.172 0.000 0.244 0.000 0.524
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 6 0.3344 0.688513 0.032 0.120 0.000 0.020 0.000 0.828
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0972 0.657805 0.028 0.964 0.000 0.000 0.008 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.3215 0.711114 0.004 0.000 0.000 0.756 0.000 0.240
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.6442 0.210298 0.032 0.256 0.000 0.004 0.500 0.208
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 5 0.4161 0.292383 0.004 0.000 0.000 0.264 0.696 0.036
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 0.996983 0.000 0.000 1.000 0.000 0.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 4 0.4455 0.676648 0.076 0.000 0.000 0.684 0.000 0.240
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.996983 0.000 0.000 1.000 0.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 6 0.2854 0.429816 0.000 0.000 0.000 0.208 0.000 0.792
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 5 0.3892 0.199052 0.004 0.000 0.000 0.352 0.640 0.004
#> AA838488-4A13-4998-B261-91590113F37D 1 0.4590 0.533413 0.680 0.000 0.000 0.224 0.000 0.096
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 6 0.4108 0.666033 0.060 0.172 0.000 0.000 0.012 0.756
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 6 0.0260 0.669843 0.000 0.000 0.000 0.008 0.000 0.992
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 4 0.1588 0.702226 0.004 0.000 0.000 0.924 0.000 0.072
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.3857 0.413402 0.000 0.000 0.000 0.532 0.000 0.468
#> C6D88493-258C-481E-B3A4-75DA86C25C43 6 0.3627 0.678377 0.040 0.152 0.000 0.012 0.000 0.796
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 5 0.4497 0.282062 0.004 0.000 0.000 0.260 0.676 0.060
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.8938 0.225521 0.336 0.156 0.228 0.048 0.052 0.180
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 6 0.4473 0.606617 0.036 0.240 0.000 0.000 0.024 0.700
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 6 0.6051 0.355202 0.028 0.168 0.000 0.264 0.000 0.540
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 6 0.4765 0.657057 0.060 0.172 0.000 0.048 0.000 0.720
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 6 0.2195 0.656750 0.036 0.028 0.000 0.000 0.024 0.912
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 5 0.6755 0.012771 0.036 0.360 0.000 0.004 0.380 0.220
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.6146 0.353485 0.532 0.004 0.000 0.272 0.024 0.168
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.4025 0.488884 0.016 0.668 0.000 0.000 0.312 0.004
#> 89430A30-8758-4E5B-8186-999EA234E39A 5 0.6235 0.121217 0.008 0.000 0.000 0.244 0.396 0.352
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 6 0.6549 0.365485 0.060 0.172 0.000 0.272 0.000 0.496
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 6 0.6357 -0.143546 0.036 0.328 0.000 0.008 0.132 0.496
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 5 0.4047 0.302701 0.004 0.000 0.000 0.244 0.716 0.036
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.1141 0.689605 0.000 0.000 0.000 0.948 0.000 0.052
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.7551 0.272281 0.224 0.432 0.236 0.048 0.060 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.3866 0.582708 0.028 0.800 0.000 0.000 0.060 0.112
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.6171 0.366854 0.524 0.008 0.012 0.344 0.028 0.084
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 6 0.4842 0.493708 0.036 0.316 0.000 0.000 0.024 0.624
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 4 0.1588 0.702226 0.004 0.000 0.000 0.924 0.000 0.072
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.664197 0.000 1.000 0.000 0.000 0.000 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.664197 0.000 1.000 0.000 0.000 0.000 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 5 0.6461 0.214618 0.032 0.256 0.000 0.004 0.496 0.212
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 5 0.4861 0.101507 0.004 0.000 0.000 0.368 0.572 0.056
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.5000 0.264725 0.032 0.576 0.000 0.000 0.028 0.364
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 6 0.3763 0.668477 0.060 0.172 0.000 0.000 0.000 0.768
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.2793 0.733612 0.000 0.000 0.000 0.800 0.000 0.200
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.1261 0.709484 0.952 0.000 0.000 0.024 0.000 0.024
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 5 0.4321 0.372975 0.004 0.016 0.000 0.016 0.680 0.284
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 6 0.0790 0.664038 0.000 0.000 0.000 0.032 0.000 0.968
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.6613 0.015028 0.036 0.392 0.000 0.004 0.388 0.180
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.664197 0.000 1.000 0.000 0.000 0.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.4264 0.702242 0.084 0.000 0.000 0.720 0.000 0.196
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.6045 0.427823 0.176 0.548 0.000 0.004 0.252 0.020
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.5319 0.449923 0.296 0.000 0.000 0.568 0.000 0.136
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.996983 0.000 0.000 1.000 0.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 6 0.3797 -0.152586 0.000 0.000 0.000 0.420 0.000 0.580
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 4 0.7001 0.259218 0.132 0.128 0.000 0.436 0.000 0.304
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.4753 0.566500 0.032 0.724 0.000 0.000 0.096 0.148
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 6 0.2883 0.423140 0.000 0.000 0.000 0.212 0.000 0.788
#> 3E070741-BBA0-4806-8D74-08595E249252 4 0.3619 0.660640 0.004 0.000 0.000 0.680 0.000 0.316
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 6 0.3482 0.261976 0.000 0.000 0.000 0.316 0.000 0.684
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.3907 0.556157 0.780 0.000 0.152 0.052 0.016 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.3109 0.722133 0.004 0.000 0.000 0.772 0.000 0.224
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.996983 0.000 0.000 1.000 0.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.5302 0.268314 0.532 0.008 0.000 0.036 0.024 0.400
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0000 0.664197 0.000 1.000 0.000 0.000 0.000 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.3881 0.536713 0.004 0.000 0.000 0.600 0.000 0.396
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 6 0.5236 0.564262 0.068 0.244 0.000 0.004 0.032 0.652
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.6677 -0.014671 0.036 0.384 0.000 0.004 0.380 0.196
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.5587 0.290878 0.004 0.000 0.000 0.508 0.356 0.132
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.4858 0.491903 0.184 0.708 0.000 0.048 0.060 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 5 0.6566 0.222857 0.032 0.252 0.000 0.004 0.472 0.240
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.6606 0.039781 0.036 0.412 0.000 0.004 0.368 0.180
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.1444 0.704219 0.000 0.000 0.000 0.928 0.000 0.072
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 5 0.6480 0.000877 0.040 0.360 0.000 0.004 0.448 0.148
#> F7B2E263-F0AE-440E-96C5-139233079A06 5 0.6680 0.180922 0.036 0.280 0.000 0.004 0.448 0.232
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 6 0.0260 0.669843 0.000 0.000 0.000 0.008 0.000 0.992
#> 17349241-FDBC-4297-8431-BB9400D87E63 5 0.3983 0.201471 0.004 0.000 0.000 0.348 0.640 0.008
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.664197 0.000 1.000 0.000 0.000 0.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.1261 0.709484 0.952 0.000 0.000 0.024 0.000 0.024
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.1285 0.689478 0.000 0.000 0.000 0.944 0.004 0.052
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.996983 0.000 0.000 1.000 0.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.1261 0.709484 0.952 0.000 0.000 0.024 0.000 0.024
#> D227D812-6DF9-4954-9A50-6EBF6486116C 6 0.7132 0.286703 0.132 0.172 0.000 0.252 0.000 0.444
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 6 0.4236 0.645948 0.036 0.204 0.000 0.000 0.024 0.736
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.8315 -0.134537 0.176 0.276 0.200 0.048 0.300 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 6 0.0972 0.654457 0.000 0.000 0.000 0.008 0.028 0.964
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.4897 0.342144 0.036 0.624 0.000 0.000 0.028 0.312
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.4480 0.444000 0.004 0.000 0.000 0.648 0.304 0.044
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.664197 0.000 1.000 0.000 0.000 0.000 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.3345 0.595866 0.776 0.000 0.000 0.204 0.000 0.020
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.1780 0.712711 0.924 0.000 0.000 0.048 0.000 0.028
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.1327 0.698262 0.000 0.000 0.000 0.936 0.000 0.064
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 6 0.4184 0.656567 0.040 0.188 0.000 0.000 0.024 0.748
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.3046 0.569625 0.000 0.800 0.000 0.000 0.012 0.188
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 4 0.3979 0.348314 0.004 0.000 0.000 0.540 0.000 0.456
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.1779 0.690878 0.000 0.000 0.000 0.920 0.016 0.064
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.5899 0.045281 0.120 0.456 0.000 0.000 0.020 0.404
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.3455 0.651374 0.784 0.000 0.000 0.180 0.000 0.036
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.4758 0.305597 0.360 0.000 0.000 0.580 0.000 0.060
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 6 0.6221 0.476975 0.060 0.172 0.000 0.200 0.000 0.568
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.664197 0.000 1.000 0.000 0.000 0.000 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 6 0.6389 -0.074768 0.244 0.016 0.000 0.348 0.000 0.392
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.6859 0.380939 0.492 0.012 0.012 0.300 0.044 0.140
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 6 0.2520 0.676318 0.000 0.152 0.000 0.004 0.000 0.844
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.4726 0.353493 0.048 0.000 0.000 0.528 0.000 0.424
#> 57787823-A815-4783-930C-A5752E48FFBA 6 0.4279 0.657640 0.048 0.184 0.000 0.000 0.024 0.744
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 6 0.5964 0.030440 0.400 0.024 0.000 0.120 0.000 0.456
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.6452 0.017780 0.172 0.400 0.000 0.000 0.036 0.392
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.1444 0.698196 0.000 0.000 0.000 0.928 0.000 0.072
#> 08C4C14A-94A8-4063-BBC3-916579960078 5 0.4413 0.214138 0.036 0.224 0.004 0.008 0.720 0.008
#> B11753A0-829F-4913-B894-F07A53FF1C92 6 0.7087 0.245413 0.116 0.172 0.000 0.276 0.000 0.436
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 6 0.5039 0.493350 0.040 0.316 0.000 0.004 0.024 0.616
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 6 0.4214 0.653059 0.040 0.192 0.000 0.000 0.024 0.744
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 6 0.2793 0.503738 0.000 0.000 0.000 0.200 0.000 0.800
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.2854 0.731351 0.000 0.000 0.000 0.792 0.000 0.208
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 5 0.3892 0.199052 0.004 0.000 0.000 0.352 0.640 0.004
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.5146 0.252793 0.532 0.040 0.000 0.012 0.008 0.408
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 6 0.2883 0.425658 0.000 0.000 0.000 0.212 0.000 0.788
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.1327 0.696787 0.000 0.000 0.000 0.936 0.000 0.064
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.6582 0.238360 0.036 0.440 0.000 0.000 0.232 0.292
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.4964 0.438932 0.000 0.648 0.000 0.000 0.200 0.152
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 5 0.6591 0.242670 0.032 0.224 0.000 0.004 0.460 0.280
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 6 0.0405 0.669575 0.004 0.000 0.000 0.008 0.000 0.988
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.1261 0.709484 0.952 0.000 0.000 0.024 0.000 0.024
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.1261 0.709484 0.952 0.000 0.000 0.024 0.000 0.024
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.2706 0.704058 0.888 0.004 0.000 0.044 0.028 0.036
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.3699 0.632130 0.004 0.000 0.000 0.660 0.000 0.336
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.5836 0.063869 0.472 0.000 0.000 0.320 0.000 0.208
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.2793 0.603913 0.000 0.800 0.000 0.000 0.200 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 0.996983 0.000 0.000 1.000 0.000 0.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 6 0.0146 0.670943 0.000 0.000 0.000 0.004 0.000 0.996
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.1845 0.713244 0.920 0.000 0.000 0.052 0.000 0.028
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0000 0.664197 0.000 1.000 0.000 0.000 0.000 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.1327 0.697021 0.000 0.000 0.000 0.936 0.000 0.064
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 6 0.3763 0.668477 0.060 0.172 0.000 0.000 0.000 0.768
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.6467 0.266540 0.032 0.192 0.000 0.004 0.484 0.288
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.996983 0.000 0.000 1.000 0.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.6829 0.174487 0.444 0.068 0.392 0.048 0.040 0.008
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 6 0.4086 0.559195 0.036 0.184 0.000 0.000 0.024 0.756
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 5 0.4246 0.372893 0.000 0.008 0.000 0.036 0.696 0.260
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.3907 0.556157 0.780 0.000 0.152 0.052 0.016 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 6 0.1726 0.636244 0.000 0.012 0.000 0.012 0.044 0.932
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.3136 0.737158 0.016 0.000 0.000 0.796 0.000 0.188
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.3610 0.593963 0.028 0.768 0.000 0.000 0.200 0.004
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 4 0.4494 0.714452 0.092 0.000 0.000 0.692 0.000 0.216
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0547 0.972608 0.000 0.000 0.980 0.000 0.020 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 6 0.4363 0.561657 0.032 0.212 0.000 0.004 0.024 0.728
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 6 0.0363 0.668125 0.000 0.000 0.000 0.012 0.000 0.988
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.664197 0.000 1.000 0.000 0.000 0.000 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0260 0.662093 0.000 0.992 0.000 0.000 0.000 0.008
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.2706 0.706423 0.860 0.000 0.000 0.104 0.000 0.036
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.1219 0.699439 0.948 0.000 0.000 0.048 0.000 0.004
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.4040 0.634422 0.000 0.000 0.000 0.756 0.132 0.112
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 6 0.0260 0.669843 0.000 0.000 0.000 0.008 0.000 0.992
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.6029 0.139563 0.292 0.000 0.000 0.464 0.240 0.004
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 6 0.0260 0.669843 0.000 0.000 0.000 0.008 0.000 0.992
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.5203 0.532899 0.648 0.012 0.012 0.276 0.024 0.028
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.6149 0.280592 0.032 0.524 0.000 0.000 0.280 0.164
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 6 0.6136 -0.072465 0.032 0.132 0.000 0.008 0.276 0.552
#> 67E92530-3B19-424C-B219-958A88909046 4 0.4481 0.665773 0.056 0.000 0.000 0.648 0.000 0.296
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.5153 0.005794 0.456 0.000 0.000 0.460 0.000 0.084
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 6 0.3866 -0.275106 0.000 0.000 0.000 0.484 0.000 0.516
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 6 0.6471 0.044803 0.256 0.024 0.000 0.288 0.000 0.432
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 17604 rows and 183 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 0.870 0.916 0.965 0.4997 0.498 0.498
#> 3 3 0.836 0.884 0.948 0.2084 0.864 0.737
#> 4 4 0.579 0.699 0.815 0.1712 0.786 0.524
#> 5 5 0.622 0.718 0.801 0.0753 0.923 0.746
#> 6 6 0.748 0.645 0.829 0.0596 0.864 0.524
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.9465 0.000 1.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.6887 0.7840 0.184 0.816
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.9710 0.3979 0.400 0.600
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.9465 0.000 1.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.4298 0.8795 0.088 0.912
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0000 0.9465 0.000 1.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.9465 0.000 1.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.0000 0.9770 1.000 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.9770 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.9358 0.5097 0.352 0.648
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.9770 1.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.0000 0.9465 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.9770 1.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.9770 1.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.9770 1.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0000 0.9465 0.000 1.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.0000 0.9465 0.000 1.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 0.9770 1.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.0000 0.9465 0.000 1.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0000 0.9465 0.000 1.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0000 0.9465 0.000 1.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.0000 0.9465 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.9770 1.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.8955 0.5540 0.312 0.688
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.9465 0.000 1.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.9770 1.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0000 0.9465 0.000 1.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.1414 0.9594 0.980 0.020
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.9795 0.2973 0.416 0.584
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.9770 1.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.0000 0.9465 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 0.9770 1.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0000 0.9770 1.000 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 0.9770 1.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.1843 0.9515 0.972 0.028
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.6973 0.7787 0.188 0.812
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.9770 1.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0000 0.9770 1.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.0000 0.9770 1.000 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.1633 0.9556 0.976 0.024
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.0000 0.9465 0.000 1.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.0000 0.9465 0.000 1.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.9770 1.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0000 0.9770 1.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.0000 0.9465 0.000 1.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.9465 0.000 1.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.0938 0.9666 0.988 0.012
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0000 0.9465 0.000 1.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.9732 0.2586 0.596 0.404
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.9770 1.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.2778 0.9122 0.048 0.952
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 2 0.9732 0.3689 0.404 0.596
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.9770 1.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.0000 0.9465 0.000 1.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.9465 0.000 1.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.6531 0.7839 0.832 0.168
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0000 0.9465 0.000 1.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.9770 1.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.9465 0.000 1.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.9465 0.000 1.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0000 0.9465 0.000 1.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0000 0.9770 1.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0000 0.9465 0.000 1.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0000 0.9770 1.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.9770 1.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.9770 1.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.7219 0.7637 0.200 0.800
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.0672 0.9703 0.992 0.008
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0000 0.9465 0.000 1.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.9465 0.000 1.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.9770 1.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.0000 0.9465 0.000 1.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.9770 1.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.0000 0.9465 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.9770 1.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.9770 1.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0000 0.9465 0.000 1.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0000 0.9770 1.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.9770 1.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.0000 0.9770 1.000 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.9770 1.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.9770 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.0000 0.9465 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.0000 0.9770 1.000 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0000 0.9465 0.000 1.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.9770 1.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.0000 0.9465 0.000 1.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0000 0.9465 0.000 1.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0000 0.9770 1.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.0000 0.9465 0.000 1.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0000 0.9465 0.000 1.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.9465 0.000 1.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.9770 1.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0000 0.9465 0.000 1.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0000 0.9465 0.000 1.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.6343 0.8115 0.160 0.840
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0000 0.9770 1.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.9465 0.000 1.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.9770 1.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.9770 1.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 2 0.0000 0.9465 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.9770 1.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.9770 1.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0000 0.9465 0.000 1.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0000 0.9465 0.000 1.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.9608 0.4381 0.384 0.616
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.9465 0.000 1.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0000 0.9770 1.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.9465 0.000 1.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.9770 1.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.9770 1.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.9770 1.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.0000 0.9465 0.000 1.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0000 0.9465 0.000 1.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0000 0.9770 1.000 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.9770 1.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0000 0.9465 0.000 1.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.9770 1.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0000 0.9770 1.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.9770 1.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.9465 0.000 1.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.9770 1.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.7376 0.7256 0.792 0.208
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.9988 -0.0114 0.520 0.480
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.0000 0.9770 1.000 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.2043 0.9246 0.032 0.968
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0000 0.9770 1.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.0000 0.9465 0.000 1.000
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.9770 1.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.0000 0.9465 0.000 1.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.9770 1.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0000 0.9465 0.000 1.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.0000 0.9465 0.000 1.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.0000 0.9770 1.000 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.9770 1.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0000 0.9770 1.000 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.2603 0.9348 0.956 0.044
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.9635 0.3086 0.612 0.388
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.9770 1.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0000 0.9465 0.000 1.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.9465 0.000 1.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.0000 0.9465 0.000 1.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.9710 0.3978 0.400 0.600
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.9770 1.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.9770 1.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.0000 0.9770 1.000 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.9770 1.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 0.9770 1.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0000 0.9465 0.000 1.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.0000 0.9465 0.000 1.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.5842 0.8314 0.140 0.860
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.9770 1.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0000 0.9465 0.000 1.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.9770 1.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.0000 0.9770 1.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.6048 0.8233 0.148 0.852
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.0000 0.9465 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.0000 0.9465 0.000 1.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0000 0.9465 0.000 1.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.8144 0.6911 0.252 0.748
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.9770 1.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.6343 0.8109 0.160 0.840
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.9770 1.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0000 0.9465 0.000 1.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.9770 1.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.0000 0.9465 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.0000 0.9465 0.000 1.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.0000 0.9770 1.000 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.9465 0.000 1.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0000 0.9465 0.000 1.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.9770 1.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.9770 1.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.9770 1.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.0000 0.9770 1.000 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0000 0.9770 1.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.1414 0.9593 0.980 0.020
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.7056 0.7491 0.808 0.192
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.9465 0.000 1.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.7219 0.7637 0.200 0.800
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.9770 1.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.9770 1.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.9770 1.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0000 0.9770 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0424 0.9053 0.000 0.992 0.008
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.0000 0.9070 0.000 1.000 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.3551 0.7875 0.132 0.868 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0237 0.9063 0.000 0.996 0.004
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.0000 0.9070 0.000 1.000 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0747 0.9039 0.000 0.984 0.016
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.9070 0.000 1.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.2878 0.8798 0.904 0.096 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0892 0.9594 0.980 0.020 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.4504 0.7050 0.196 0.804 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.9713 1.000 0.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.9091 0.000 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.9713 1.000 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.9713 1.000 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.9713 1.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.4974 0.7395 0.000 0.764 0.236
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.0000 0.9070 0.000 1.000 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 0.9713 1.000 0.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.0892 0.9024 0.000 0.980 0.020
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 3 0.0237 0.9077 0.000 0.004 0.996
#> B56D29F2-ADF4-43B9-9013-071466244B4A 3 0.0892 0.8999 0.000 0.020 0.980
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.9091 0.000 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.9713 1.000 0.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.6771 0.5010 0.276 0.684 0.040
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.1163 0.8972 0.000 0.972 0.028
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0237 0.9699 0.996 0.004 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0000 0.9070 0.000 1.000 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 2 0.0237 0.9049 0.004 0.996 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 0.9091 0.000 0.000 1.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.9713 1.000 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.9091 0.000 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0237 0.9699 0.996 0.004 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.4974 0.6898 0.764 0.236 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 0.9713 1.000 0.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.2448 0.8976 0.924 0.076 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.0000 0.9070 0.000 1.000 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0237 0.9699 0.996 0.004 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.1031 0.9564 0.976 0.024 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.1289 0.9493 0.968 0.032 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 2 0.0424 0.9034 0.008 0.992 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.1529 0.8851 0.000 0.040 0.960
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.0848 0.9044 0.008 0.984 0.008
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.9713 1.000 0.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0000 0.9713 1.000 0.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.0000 0.9070 0.000 1.000 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.9070 0.000 1.000 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.5397 0.5861 0.720 0.000 0.280
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0424 0.9053 0.000 0.992 0.008
#> 89430A30-8758-4E5B-8186-999EA234E39A 2 0.0592 0.9013 0.012 0.988 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.9713 1.000 0.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.0000 0.9070 0.000 1.000 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 2 0.3267 0.7842 0.116 0.884 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0237 0.9699 0.996 0.004 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.3192 0.8122 0.000 0.112 0.888
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0237 0.9063 0.000 0.996 0.004
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.5397 0.5851 0.720 0.000 0.280
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.4931 0.7429 0.000 0.768 0.232
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.9713 1.000 0.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.1289 0.8985 0.000 0.968 0.032
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.4796 0.7563 0.000 0.780 0.220
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0000 0.9070 0.000 1.000 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.1163 0.9534 0.972 0.028 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.5138 0.7162 0.000 0.748 0.252
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0000 0.9713 1.000 0.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.9713 1.000 0.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.9713 1.000 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.0000 0.9070 0.000 1.000 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.5098 0.6496 0.752 0.248 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0000 0.9070 0.000 1.000 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0424 0.9053 0.000 0.992 0.008
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.9713 1.000 0.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.4121 0.8067 0.000 0.832 0.168
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.9713 1.000 0.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.9091 0.000 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0237 0.9699 0.996 0.004 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.9713 1.000 0.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.1163 0.9001 0.000 0.972 0.028
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.1031 0.9564 0.976 0.024 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.9713 1.000 0.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.1411 0.9464 0.964 0.036 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.9713 1.000 0.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0237 0.9699 0.996 0.004 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.9091 0.000 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.0000 0.9713 1.000 0.000 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.4346 0.7918 0.000 0.816 0.184
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.9713 1.000 0.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.5660 0.7521 0.028 0.772 0.200
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0000 0.9070 0.000 1.000 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.1163 0.9534 0.972 0.028 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.4796 0.7571 0.000 0.780 0.220
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0000 0.9070 0.000 1.000 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0237 0.9063 0.000 0.996 0.004
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.9713 1.000 0.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0000 0.9070 0.000 1.000 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0000 0.9070 0.000 1.000 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.0000 0.9070 0.000 1.000 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.2711 0.8947 0.912 0.088 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.6302 0.0231 0.000 0.520 0.480
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.9713 1.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.9713 1.000 0.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.9091 0.000 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.9713 1.000 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.9713 1.000 0.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.3686 0.8322 0.000 0.860 0.140
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0237 0.9063 0.000 0.996 0.004
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.0000 0.9070 0.000 1.000 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.9070 0.000 1.000 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0424 0.9676 0.992 0.008 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.1163 0.8997 0.000 0.972 0.028
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.9713 1.000 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.9713 1.000 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.9713 1.000 0.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.6181 0.7564 0.072 0.772 0.156
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 3 0.5560 0.4963 0.000 0.300 0.700
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0237 0.9699 0.996 0.004 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0237 0.9699 0.996 0.004 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 3 0.0747 0.9022 0.000 0.016 0.984
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.9713 1.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0000 0.9713 1.000 0.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.9713 1.000 0.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.2261 0.8801 0.000 0.932 0.068
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.9713 1.000 0.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.0747 0.9002 0.016 0.000 0.984
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.4555 0.7301 0.800 0.200 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.0237 0.9699 0.996 0.004 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 3 0.3129 0.8363 0.088 0.008 0.904
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0000 0.9713 1.000 0.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 3 0.6204 0.1338 0.000 0.424 0.576
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0237 0.9699 0.996 0.004 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.0000 0.9070 0.000 1.000 0.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.9713 1.000 0.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.5678 0.6154 0.000 0.684 0.316
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.2297 0.8892 0.020 0.944 0.036
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.1411 0.9463 0.964 0.036 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.9713 1.000 0.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.3116 0.8658 0.892 0.108 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.0424 0.9662 0.992 0.000 0.008
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.3816 0.8098 0.852 0.148 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.9713 1.000 0.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0237 0.9063 0.000 0.996 0.004
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0892 0.9012 0.000 0.980 0.020
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.0000 0.9070 0.000 1.000 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.4842 0.6643 0.224 0.776 0.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.9713 1.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.9713 1.000 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 3 0.2878 0.8367 0.096 0.000 0.904
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0237 0.9699 0.996 0.004 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 0.9713 1.000 0.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.4605 0.7741 0.000 0.796 0.204
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 0.9091 0.000 0.000 1.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.0000 0.9070 0.000 1.000 0.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.9713 1.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.3941 0.8177 0.000 0.844 0.156
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0237 0.9699 0.996 0.004 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.0000 0.9713 1.000 0.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.0000 0.9070 0.000 1.000 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.9091 0.000 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.0000 0.9091 0.000 0.000 1.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0000 0.9070 0.000 1.000 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.0000 0.9070 0.000 1.000 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.9713 1.000 0.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.0000 0.9070 0.000 1.000 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.9713 1.000 0.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.5733 0.6007 0.000 0.676 0.324
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.9713 1.000 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.9091 0.000 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.3551 0.8357 0.000 0.868 0.132
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.1289 0.9499 0.968 0.032 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.3551 0.8383 0.000 0.868 0.132
#> CC008807-7264-4593-966F-104992B35873 2 0.4931 0.7425 0.000 0.768 0.232
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.9713 1.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.9713 1.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0592 0.9651 0.988 0.012 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.1753 0.9342 0.952 0.048 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0000 0.9713 1.000 0.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 2 0.5988 0.4226 0.368 0.632 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.6307 0.0452 0.488 0.000 0.512
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0592 0.9041 0.000 0.988 0.012
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.0000 0.9070 0.000 1.000 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.9713 1.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.9713 1.000 0.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0592 0.9651 0.988 0.012 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0000 0.9713 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0188 0.8019 0.000 0.996 0.000 0.004
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.1940 0.7913 0.000 0.924 0.000 0.076
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.4070 0.7384 0.044 0.824 0.000 0.132
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.1004 0.8028 0.000 0.972 0.024 0.004
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.4888 0.2634 0.000 0.588 0.000 0.412
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.3479 0.7727 0.000 0.840 0.148 0.012
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.1637 0.7961 0.000 0.940 0.000 0.060
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.7318 0.5182 0.364 0.160 0.000 0.476
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.3791 0.7992 0.200 0.004 0.000 0.796
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.4595 0.6549 0.044 0.176 0.000 0.780
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.4933 0.5775 0.432 0.000 0.000 0.568
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.4079 0.7978 0.000 0.020 0.800 0.180
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.8657 1.000 0.000 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.8657 1.000 0.000 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.8657 1.000 0.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.3725 0.7509 0.000 0.812 0.180 0.008
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.4164 0.6313 0.000 0.736 0.000 0.264
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0707 0.8517 0.980 0.020 0.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.3088 0.7785 0.008 0.864 0.128 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.4776 0.5193 0.000 0.624 0.376 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 3 0.4977 -0.1569 0.000 0.460 0.540 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.4079 0.7978 0.000 0.020 0.800 0.180
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.3539 0.6915 0.820 0.000 0.004 0.176
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.8004 0.4592 0.072 0.216 0.136 0.576
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0927 0.8026 0.000 0.976 0.016 0.008
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.4730 0.7002 0.364 0.000 0.000 0.636
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.4164 0.6355 0.000 0.736 0.000 0.264
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.3688 0.6118 0.000 0.208 0.000 0.792
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.1356 0.7434 0.008 0.032 0.960 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.1474 0.8368 0.948 0.000 0.000 0.052
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.4079 0.7978 0.000 0.020 0.800 0.180
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.3074 0.7235 0.848 0.000 0.000 0.152
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.4259 0.7671 0.128 0.056 0.000 0.816
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0927 0.8578 0.976 0.000 0.016 0.008
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.5891 0.4792 0.700 0.168 0.132 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.2271 0.7940 0.008 0.916 0.000 0.076
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 4 0.4996 0.3618 0.484 0.000 0.000 0.516
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.4608 0.7522 0.304 0.004 0.000 0.692
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.3594 0.7364 0.860 0.108 0.024 0.008
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.3831 0.6174 0.004 0.204 0.000 0.792
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.4477 0.3582 0.000 0.312 0.688 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.3610 0.7389 0.000 0.800 0.200 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0336 0.8649 0.992 0.000 0.000 0.008
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0000 0.8657 1.000 0.000 0.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.0707 0.8037 0.000 0.980 0.000 0.020
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.2216 0.7858 0.000 0.908 0.000 0.092
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 3 0.4760 0.6501 0.160 0.004 0.784 0.052
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.1940 0.7928 0.000 0.924 0.000 0.076
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.3751 0.6245 0.004 0.196 0.000 0.800
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0336 0.8649 0.992 0.000 0.000 0.008
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.1389 0.7982 0.000 0.952 0.000 0.048
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.3539 0.6366 0.004 0.176 0.000 0.820
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.4072 0.7983 0.252 0.000 0.000 0.748
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.4746 0.5504 0.000 0.632 0.368 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0336 0.8019 0.000 0.992 0.000 0.008
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 3 0.7159 0.2693 0.160 0.004 0.564 0.272
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.4431 0.6419 0.000 0.696 0.304 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 4 0.4522 0.7388 0.320 0.000 0.000 0.680
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.3123 0.7623 0.000 0.844 0.156 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.3356 0.7498 0.000 0.824 0.176 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 4 0.4661 0.4167 0.000 0.348 0.000 0.652
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.3636 0.7909 0.172 0.008 0.000 0.820
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.4522 0.6208 0.000 0.680 0.320 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0336 0.8649 0.992 0.000 0.000 0.008
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.4996 -0.4082 0.516 0.000 0.000 0.484
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0336 0.8649 0.992 0.000 0.000 0.008
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.4996 -0.0109 0.000 0.516 0.000 0.484
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.7830 -0.1098 0.384 0.356 0.000 0.260
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.2149 0.7881 0.000 0.912 0.000 0.088
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0336 0.8025 0.000 0.992 0.008 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.4304 0.7779 0.284 0.000 0.000 0.716
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.4781 0.7194 0.000 0.752 0.212 0.036
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.2704 0.7534 0.876 0.000 0.000 0.124
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.4151 0.7966 0.004 0.016 0.800 0.180
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.4250 0.7887 0.276 0.000 0.000 0.724
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.1637 0.8298 0.940 0.000 0.000 0.060
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0592 0.8029 0.000 0.984 0.016 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.4194 0.8031 0.228 0.008 0.000 0.764
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.1716 0.8230 0.936 0.000 0.000 0.064
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.5663 -0.0195 0.536 0.024 0.000 0.440
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.1637 0.8342 0.940 0.000 0.000 0.060
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.4855 0.6437 0.400 0.000 0.000 0.600
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.4079 0.7978 0.000 0.020 0.800 0.180
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.4462 0.6395 0.804 0.064 0.132 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.3400 0.7473 0.000 0.820 0.180 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.4776 0.6832 0.376 0.000 0.000 0.624
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.5685 0.6470 0.056 0.688 0.252 0.004
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.2345 0.7818 0.000 0.900 0.000 0.100
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.3681 0.7923 0.176 0.008 0.000 0.816
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.3528 0.7427 0.000 0.808 0.192 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.3219 0.7433 0.000 0.836 0.000 0.164
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.1474 0.7979 0.000 0.948 0.000 0.052
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.4331 0.7774 0.288 0.000 0.000 0.712
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.2868 0.7578 0.000 0.864 0.000 0.136
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.2011 0.7911 0.000 0.920 0.000 0.080
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.2530 0.7753 0.000 0.888 0.000 0.112
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.3636 0.7909 0.172 0.008 0.000 0.820
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.5863 0.5890 0.000 0.700 0.120 0.180
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.8657 1.000 0.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.4331 0.7799 0.288 0.000 0.000 0.712
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.4079 0.7978 0.000 0.020 0.800 0.180
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.8657 1.000 0.000 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.8657 1.000 0.000 0.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0921 0.8027 0.000 0.972 0.028 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.1940 0.7924 0.000 0.924 0.000 0.076
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.4977 0.1102 0.000 0.460 0.000 0.540
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0336 0.8019 0.000 0.992 0.000 0.008
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.3975 0.8014 0.240 0.000 0.000 0.760
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.3024 0.7670 0.000 0.852 0.148 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0469 0.8629 0.988 0.000 0.000 0.012
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0336 0.8649 0.992 0.000 0.000 0.008
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.4072 0.7960 0.252 0.000 0.000 0.748
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.4257 0.7508 0.048 0.812 0.140 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.4454 0.6378 0.000 0.692 0.308 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0469 0.8583 0.988 0.012 0.000 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.4103 0.7974 0.256 0.000 0.000 0.744
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.4730 0.5573 0.000 0.636 0.364 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0336 0.8649 0.992 0.000 0.000 0.008
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.4134 0.4525 0.740 0.000 0.000 0.260
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.2011 0.8166 0.920 0.000 0.000 0.080
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.3219 0.7617 0.000 0.836 0.164 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.2011 0.8167 0.920 0.000 0.000 0.080
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.3764 0.7814 0.000 0.000 0.784 0.216
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.4418 0.7927 0.184 0.032 0.000 0.784
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.0469 0.8635 0.988 0.000 0.000 0.012
#> 57787823-A815-4783-930C-A5752E48FFBA 3 0.5909 0.7160 0.112 0.088 0.752 0.048
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0592 0.8575 0.984 0.000 0.016 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.5007 0.5601 0.008 0.636 0.356 0.000
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.4134 0.7971 0.260 0.000 0.000 0.740
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.4072 0.6406 0.000 0.748 0.000 0.252
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.8657 1.000 0.000 0.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 3 0.5673 0.1790 0.000 0.372 0.596 0.032
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.2949 0.7950 0.000 0.888 0.088 0.024
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.4609 0.8003 0.224 0.024 0.000 0.752
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.4624 0.7269 0.340 0.000 0.000 0.660
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.4059 0.8005 0.200 0.012 0.000 0.788
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.5527 0.5140 0.728 0.104 0.168 0.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.4123 0.7707 0.136 0.044 0.000 0.820
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.4103 0.7969 0.256 0.000 0.000 0.744
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.1867 0.7935 0.000 0.928 0.000 0.072
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.3435 0.7726 0.000 0.864 0.036 0.100
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.3726 0.6992 0.000 0.788 0.000 0.212
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.6083 0.6014 0.112 0.672 0.000 0.216
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.8657 1.000 0.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.8657 1.000 0.000 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.4936 0.3540 0.624 0.004 0.372 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.4008 0.8002 0.244 0.000 0.000 0.756
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0188 0.8655 0.996 0.000 0.000 0.004
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.3529 0.7695 0.000 0.836 0.152 0.012
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.1118 0.7415 0.000 0.036 0.964 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.2081 0.7901 0.000 0.916 0.000 0.084
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.8657 1.000 0.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.3528 0.7427 0.000 0.808 0.192 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.4134 0.7954 0.260 0.000 0.000 0.740
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.0000 0.8657 1.000 0.000 0.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.3528 0.7191 0.000 0.808 0.000 0.192
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.4079 0.7978 0.000 0.020 0.800 0.180
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.1557 0.7297 0.000 0.056 0.944 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.1443 0.8023 0.008 0.960 0.028 0.004
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.5000 0.0360 0.000 0.500 0.000 0.500
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.8657 1.000 0.000 0.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.3219 0.7458 0.000 0.836 0.000 0.164
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.4776 0.6782 0.376 0.000 0.000 0.624
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.5581 0.3582 0.000 0.532 0.448 0.020
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0336 0.8649 0.992 0.000 0.000 0.008
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.4079 0.7978 0.000 0.020 0.800 0.180
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 4 0.5118 0.5829 0.000 0.176 0.072 0.752
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.4920 0.5990 0.768 0.164 0.000 0.068
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.2760 0.7763 0.000 0.872 0.128 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.3486 0.7444 0.000 0.812 0.188 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.8657 1.000 0.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0336 0.8649 0.992 0.000 0.000 0.008
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.3837 0.8020 0.224 0.000 0.000 0.776
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.6005 0.7274 0.324 0.060 0.000 0.616
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.4040 0.7985 0.248 0.000 0.000 0.752
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 2 0.5497 0.5174 0.284 0.672 0.000 0.044
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.4673 0.6545 0.140 0.004 0.796 0.060
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.1545 0.7991 0.000 0.952 0.008 0.040
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.1792 0.7960 0.000 0.932 0.000 0.068
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0188 0.8655 0.996 0.000 0.000 0.004
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.5254 0.7497 0.300 0.000 0.028 0.672
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.4998 -0.4112 0.512 0.000 0.000 0.488
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.5496 0.7653 0.232 0.000 0.064 0.704
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 5 0.2674 0.7445 0.000 0.140 0.000 0.004 0.856
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 5 0.5555 0.5972 0.000 0.104 0.004 0.256 0.636
#> B626F298-622E-4C4F-8217-71D1234A6670 5 0.5695 0.3410 0.000 0.068 0.004 0.444 0.484
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.3013 0.7377 0.000 0.160 0.000 0.008 0.832
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.4673 0.4972 0.000 0.052 0.004 0.716 0.228
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 5 0.4572 0.2568 0.000 0.452 0.004 0.004 0.540
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.0324 0.7601 0.000 0.004 0.000 0.004 0.992
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.4352 0.6699 0.048 0.056 0.004 0.812 0.080
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#> EB818546-2380-480F-AA7A-529857F5912C 2 0.4599 0.7393 0.000 0.688 0.040 0.000 0.272
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0404 0.8846 0.988 0.012 0.000 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0404 0.9335 0.000 0.000 0.988 0.000 0.012
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 4 0.4838 0.6927 0.000 0.232 0.020 0.712 0.036
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.4658 0.6905 0.752 0.004 0.000 0.124 0.120
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 5 0.3789 0.6879 0.000 0.224 0.016 0.000 0.760
#> CC008807-7264-4593-966F-104992B35873 5 0.3884 0.6411 0.000 0.288 0.004 0.000 0.708
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0162 0.8841 0.996 0.004 0.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0510 0.8841 0.984 0.016 0.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.3209 0.7948 0.060 0.068 0.000 0.864 0.008
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.1911 0.7833 0.036 0.004 0.000 0.932 0.028
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.2376 0.7950 0.044 0.052 0.000 0.904 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 5 0.7993 0.2790 0.224 0.080 0.004 0.296 0.396
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 2 0.5693 0.3818 0.176 0.692 0.080 0.052 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 5 0.2130 0.7652 0.000 0.080 0.012 0.000 0.908
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 5 0.5385 0.5452 0.000 0.068 0.004 0.312 0.616
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0290 0.8849 0.992 0.008 0.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.5440 0.6909 0.184 0.156 0.000 0.660 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.3654 0.6960 0.112 0.048 0.004 0.832 0.004
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.5886 0.6377 0.144 0.272 0.000 0.584 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 5 0.2092 0.79934 0.000 0.000 0.000 0.000 0.876 0.124
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 6 0.1411 0.62366 0.000 0.000 0.000 0.004 0.060 0.936
#> B626F298-622E-4C4F-8217-71D1234A6670 6 0.0767 0.64767 0.008 0.004 0.000 0.000 0.012 0.976
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.2378 0.78243 0.000 0.000 0.000 0.000 0.848 0.152
#> EB246839-8CB3-4B57-985E-DCEE23692361 6 0.0291 0.65194 0.000 0.004 0.000 0.000 0.004 0.992
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.5051 0.41797 0.000 0.596 0.000 0.000 0.300 0.104
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.0000 0.83404 0.000 0.000 0.000 0.000 1.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 6 0.0458 0.65443 0.000 0.000 0.000 0.016 0.000 0.984
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 6 0.3747 0.45341 0.000 0.000 0.000 0.396 0.000 0.604
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 6 0.3543 0.46995 0.000 0.004 0.000 0.272 0.004 0.720
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.3804 -0.03728 0.000 0.000 0.000 0.576 0.000 0.424
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0146 0.95617 0.000 0.004 0.996 0.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0260 0.92852 0.992 0.000 0.000 0.008 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0260 0.92852 0.992 0.000 0.000 0.008 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0146 0.92888 0.996 0.000 0.000 0.004 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 5 0.0146 0.83381 0.000 0.004 0.000 0.000 0.996 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.0937 0.81711 0.000 0.000 0.000 0.040 0.960 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0146 0.92816 0.996 0.000 0.000 0.000 0.000 0.004
#> 851B9B77-547A-43CC-B939-428E0A26C67C 6 0.4222 0.35201 0.016 0.028 0.000 0.000 0.248 0.708
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 5 0.4033 0.31501 0.000 0.404 0.000 0.004 0.588 0.004
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.1109 0.73205 0.004 0.964 0.004 0.016 0.012 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0146 0.95617 0.000 0.004 0.996 0.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 4 0.3703 0.43419 0.304 0.000 0.004 0.688 0.004 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.5666 -0.10500 0.000 0.156 0.000 0.456 0.000 0.388
#> 482285EC-BA43-441D-9986-7937B61A81D1 5 0.3548 0.75716 0.000 0.000 0.136 0.000 0.796 0.068
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 6 0.3841 0.59460 0.068 0.000 0.000 0.168 0.000 0.764
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.2243 0.79741 0.000 0.004 0.004 0.000 0.880 0.112
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 6 0.2491 0.63027 0.000 0.000 0.000 0.164 0.000 0.836
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.0146 0.73249 0.000 0.996 0.004 0.000 0.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.1863 0.85975 0.896 0.000 0.000 0.104 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0146 0.95617 0.000 0.004 0.996 0.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.4931 0.27622 0.356 0.000 0.004 0.576 0.064 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.1663 0.59727 0.000 0.000 0.000 0.912 0.000 0.088
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0790 0.92046 0.968 0.000 0.000 0.032 0.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.2908 0.78846 0.840 0.008 0.000 0.004 0.008 0.140
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 5 0.1007 0.83229 0.000 0.000 0.000 0.000 0.956 0.044
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 4 0.1908 0.60024 0.096 0.000 0.004 0.900 0.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 6 0.2988 0.57554 0.140 0.004 0.000 0.016 0.004 0.836
#> C6D88493-258C-481E-B3A4-75DA86C25C43 6 0.2871 0.51768 0.192 0.000 0.000 0.004 0.000 0.804
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 6 0.2912 0.61265 0.000 0.000 0.000 0.216 0.000 0.784
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.0146 0.73455 0.000 0.996 0.000 0.000 0.004 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 5 0.4692 0.13108 0.000 0.444 0.000 0.000 0.512 0.044
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0260 0.92846 0.992 0.000 0.000 0.008 0.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.3054 0.79824 0.828 0.036 0.000 0.136 0.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 6 0.3819 0.00837 0.004 0.000 0.000 0.000 0.372 0.624
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 5 0.0146 0.83492 0.000 0.000 0.000 0.000 0.996 0.004
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 2 0.3999 0.12217 0.000 0.500 0.004 0.496 0.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 5 0.0405 0.83300 0.000 0.004 0.000 0.008 0.988 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 6 0.3634 0.49819 0.000 0.000 0.000 0.356 0.000 0.644
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0547 0.92668 0.980 0.000 0.000 0.020 0.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 5 0.0603 0.83608 0.000 0.004 0.000 0.000 0.980 0.016
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.1141 0.60805 0.000 0.000 0.000 0.948 0.000 0.052
#> 705D8441-3436-49B6-9575-E77C5252844A 6 0.4076 0.36803 0.004 0.000 0.004 0.428 0.000 0.564
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.0146 0.73455 0.000 0.996 0.000 0.000 0.004 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 5 0.0291 0.83511 0.000 0.004 0.000 0.000 0.992 0.004
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 2 0.1471 0.69154 0.000 0.932 0.000 0.064 0.000 0.004
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.3857 0.06821 0.000 0.532 0.000 0.000 0.468 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 4 0.3000 0.58353 0.156 0.000 0.004 0.824 0.000 0.016
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 5 0.4718 0.64978 0.000 0.124 0.000 0.000 0.676 0.200
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 5 0.5084 0.52381 0.000 0.264 0.000 0.000 0.612 0.124
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 3 0.1644 0.88357 0.000 0.004 0.920 0.000 0.000 0.076
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 6 0.3830 0.44813 0.000 0.000 0.004 0.376 0.000 0.620
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.3046 0.67235 0.000 0.800 0.000 0.012 0.188 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0972 0.92039 0.964 0.000 0.000 0.028 0.008 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 6 0.3911 0.48037 0.008 0.000 0.000 0.368 0.000 0.624
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.1007 0.91511 0.956 0.000 0.000 0.044 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 6 0.0436 0.65272 0.000 0.004 0.000 0.004 0.004 0.988
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.3795 0.37029 0.632 0.000 0.000 0.004 0.364 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 5 0.0363 0.83578 0.000 0.000 0.000 0.000 0.988 0.012
#> 15532795-F8EC-4460-9972-82EC355E3B06 5 0.1152 0.83243 0.000 0.004 0.000 0.000 0.952 0.044
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.1910 0.58624 0.000 0.000 0.000 0.892 0.000 0.108
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.1643 0.72737 0.000 0.924 0.000 0.000 0.068 0.008
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.3830 0.32126 0.376 0.000 0.000 0.620 0.000 0.004
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0146 0.95617 0.000 0.004 0.996 0.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.4130 0.44610 0.024 0.000 0.004 0.672 0.000 0.300
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.3841 0.35373 0.616 0.000 0.000 0.380 0.000 0.004
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 5 0.1007 0.83335 0.000 0.000 0.000 0.000 0.956 0.044
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 6 0.3175 0.58386 0.000 0.000 0.000 0.256 0.000 0.744
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0820 0.92291 0.972 0.000 0.000 0.012 0.000 0.016
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.5092 0.32658 0.580 0.000 0.004 0.352 0.052 0.012
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 4 0.3828 0.10755 0.440 0.000 0.000 0.560 0.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 6 0.4530 0.44433 0.044 0.000 0.000 0.356 0.000 0.600
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0146 0.95617 0.000 0.004 0.996 0.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.0291 0.92773 0.992 0.000 0.000 0.004 0.000 0.004
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 5 0.5055 0.54657 0.000 0.244 0.000 0.000 0.624 0.132
#> 4CA559EF-D8B9-400B-972C-693257124C3D 6 0.3915 0.42478 0.000 0.004 0.000 0.412 0.000 0.584
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 6 0.2793 0.59002 0.044 0.060 0.000 0.000 0.020 0.876
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 5 0.0000 0.83404 0.000 0.000 0.000 0.000 1.000 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.4076 0.18191 0.000 0.004 0.004 0.564 0.000 0.428
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.4843 0.44116 0.000 0.616 0.000 0.000 0.300 0.084
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 5 0.0146 0.83441 0.000 0.000 0.000 0.000 0.996 0.004
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 5 0.0508 0.83559 0.000 0.004 0.000 0.000 0.984 0.012
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.1007 0.60963 0.000 0.000 0.000 0.956 0.000 0.044
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 5 0.0363 0.83152 0.000 0.000 0.000 0.012 0.988 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 5 0.0000 0.83404 0.000 0.000 0.000 0.000 1.000 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 6 0.0653 0.64767 0.004 0.004 0.000 0.000 0.012 0.980
#> 17349241-FDBC-4297-8431-BB9400D87E63 6 0.3804 0.41004 0.000 0.000 0.000 0.424 0.000 0.576
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 3 0.3221 0.68302 0.000 0.004 0.772 0.000 0.220 0.004
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.92873 1.000 0.000 0.000 0.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.3828 -0.09240 0.000 0.000 0.000 0.560 0.000 0.440
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0146 0.95617 0.000 0.004 0.996 0.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0146 0.92871 0.996 0.000 0.000 0.004 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.92873 1.000 0.000 0.000 0.000 0.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 5 0.1659 0.83310 0.008 0.020 0.004 0.000 0.940 0.028
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.0405 0.83231 0.000 0.004 0.000 0.008 0.988 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 6 0.1148 0.65272 0.000 0.004 0.000 0.016 0.020 0.960
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 5 0.2697 0.75914 0.000 0.000 0.000 0.000 0.812 0.188
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 6 0.3244 0.58072 0.000 0.000 0.000 0.268 0.000 0.732
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 5 0.4344 0.53212 0.000 0.304 0.000 0.000 0.652 0.044
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0146 0.92902 0.996 0.000 0.000 0.004 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0458 0.92716 0.984 0.000 0.000 0.016 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.0632 0.61039 0.000 0.000 0.000 0.976 0.000 0.024
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 5 0.3483 0.62929 0.212 0.024 0.000 0.000 0.764 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.4161 0.13638 0.000 0.540 0.000 0.012 0.448 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0790 0.91359 0.968 0.000 0.000 0.000 0.000 0.032
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.2048 0.57831 0.000 0.000 0.000 0.880 0.000 0.120
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.3018 0.68817 0.000 0.816 0.000 0.012 0.168 0.004
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0713 0.92321 0.972 0.000 0.000 0.028 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.3650 0.56731 0.708 0.000 0.000 0.280 0.000 0.012
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 4 0.5488 0.33518 0.272 0.000 0.000 0.556 0.172 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 5 0.3979 0.61449 0.000 0.256 0.000 0.000 0.708 0.036
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 4 0.3795 0.31969 0.364 0.000 0.004 0.632 0.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 4 0.3371 0.35762 0.000 0.000 0.292 0.708 0.000 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.2146 0.60584 0.004 0.000 0.000 0.908 0.044 0.044
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.1327 0.88554 0.936 0.000 0.000 0.000 0.000 0.064
#> 57787823-A815-4783-930C-A5752E48FFBA 3 0.1764 0.92111 0.000 0.024 0.936 0.024 0.004 0.012
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.1913 0.87304 0.908 0.080 0.000 0.000 0.000 0.012
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.1049 0.72688 0.000 0.960 0.000 0.000 0.008 0.032
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.5524 0.42096 0.176 0.000 0.004 0.576 0.000 0.244
#> 08C4C14A-94A8-4063-BBC3-916579960078 5 0.0551 0.83341 0.000 0.004 0.000 0.004 0.984 0.008
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.92873 1.000 0.000 0.000 0.000 0.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0146 0.73252 0.000 0.996 0.000 0.000 0.000 0.004
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 5 0.1167 0.82528 0.012 0.008 0.000 0.020 0.960 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 6 0.2913 0.63157 0.000 0.004 0.000 0.180 0.004 0.812
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.1802 0.60808 0.012 0.000 0.000 0.916 0.000 0.072
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 6 0.3857 0.30766 0.000 0.000 0.000 0.468 0.000 0.532
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.0508 0.92312 0.984 0.004 0.000 0.000 0.000 0.012
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.3851 -0.12669 0.000 0.000 0.000 0.540 0.000 0.460
#> E84904D7-5996-46BC-8B14-5C14249F0667 6 0.3843 0.34043 0.000 0.000 0.000 0.452 0.000 0.548
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 5 0.0146 0.83381 0.000 0.004 0.000 0.000 0.996 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 5 0.1007 0.82644 0.000 0.000 0.044 0.000 0.956 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 5 0.1082 0.83386 0.000 0.004 0.000 0.000 0.956 0.040
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 6 0.4861 0.28032 0.088 0.004 0.000 0.000 0.264 0.644
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.92873 1.000 0.000 0.000 0.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0146 0.92909 0.996 0.000 0.000 0.004 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.1930 0.89146 0.916 0.048 0.000 0.036 0.000 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.4835 0.47343 0.336 0.000 0.000 0.592 0.000 0.072
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0632 0.92431 0.976 0.000 0.000 0.024 0.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 5 0.1082 0.82516 0.000 0.040 0.000 0.004 0.956 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.0146 0.73249 0.000 0.996 0.004 0.000 0.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 5 0.3516 0.72471 0.016 0.004 0.000 0.000 0.760 0.220
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.92873 1.000 0.000 0.000 0.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 5 0.6000 0.03086 0.000 0.364 0.000 0.000 0.400 0.236
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 6 0.3869 0.22182 0.000 0.000 0.000 0.500 0.000 0.500
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.0000 0.92873 1.000 0.000 0.000 0.000 0.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.0777 0.83576 0.000 0.004 0.000 0.000 0.972 0.024
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0146 0.95617 0.000 0.004 0.996 0.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.0146 0.73249 0.000 0.996 0.004 0.000 0.000 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 5 0.4712 0.49645 0.052 0.000 0.000 0.000 0.564 0.384
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 6 0.0260 0.65392 0.000 0.000 0.000 0.008 0.000 0.992
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0260 0.92852 0.992 0.000 0.000 0.008 0.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 5 0.3383 0.69328 0.000 0.004 0.000 0.000 0.728 0.268
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.2988 0.56229 0.028 0.000 0.000 0.828 0.000 0.144
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0405 0.73371 0.000 0.988 0.000 0.008 0.004 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0146 0.92867 0.996 0.000 0.000 0.000 0.000 0.004
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0146 0.95617 0.000 0.004 0.996 0.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 4 0.5817 0.28590 0.000 0.244 0.000 0.496 0.000 0.260
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.1478 0.89930 0.944 0.000 0.000 0.004 0.032 0.020
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 5 0.5182 0.37299 0.000 0.340 0.000 0.000 0.556 0.104
#> CC008807-7264-4593-966F-104992B35873 2 0.5668 0.27369 0.004 0.516 0.000 0.000 0.328 0.152
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0146 0.92888 0.996 0.000 0.000 0.004 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0790 0.92176 0.968 0.000 0.000 0.032 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.3852 0.20723 0.000 0.000 0.004 0.612 0.000 0.384
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 6 0.3810 0.39614 0.000 0.000 0.000 0.428 0.000 0.572
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.3684 0.13837 0.000 0.000 0.000 0.628 0.000 0.372
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 6 0.2162 0.59801 0.088 0.004 0.000 0.000 0.012 0.896
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 2 0.4091 0.16729 0.000 0.520 0.008 0.472 0.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 5 0.3809 0.70474 0.000 0.004 0.024 0.000 0.732 0.240
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 6 0.1615 0.61590 0.004 0.004 0.000 0.000 0.064 0.928
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.92873 1.000 0.000 0.000 0.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.4331 0.51295 0.000 0.220 0.000 0.704 0.000 0.076
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 6 0.0458 0.65100 0.016 0.000 0.000 0.000 0.000 0.984
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.1049 0.60736 0.000 0.032 0.000 0.960 0.000 0.008
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 17604 rows and 183 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 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 0.299 0.753 0.862 0.4533 0.502 0.502
#> 3 3 0.307 0.445 0.628 0.2290 0.740 0.526
#> 4 4 0.386 0.676 0.791 0.1018 0.784 0.520
#> 5 5 0.448 0.662 0.806 0.1250 0.903 0.741
#> 6 6 0.529 0.608 0.764 0.0777 0.930 0.773
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.8188 0.000 1.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.3114 0.8424 0.056 0.944
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.3114 0.8424 0.056 0.944
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.8188 0.000 1.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.3879 0.8464 0.076 0.924
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.8608 0.7063 0.284 0.716
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.1414 0.8294 0.020 0.980
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 2 0.4161 0.8471 0.084 0.916
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.6887 0.7725 0.816 0.184
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.9661 0.4757 0.392 0.608
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.6887 0.7724 0.816 0.184
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.9044 0.6419 0.320 0.680
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.8429 1.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.8429 1.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0376 0.8434 0.996 0.004
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.8207 0.7491 0.256 0.744
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.6438 0.8256 0.164 0.836
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 2 0.7883 0.7642 0.236 0.764
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.2948 0.8412 0.052 0.948
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0000 0.8188 0.000 1.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.6531 0.8242 0.168 0.832
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.9044 0.6419 0.320 0.680
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.8429 1.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.9775 0.3073 0.588 0.412
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.8188 0.000 1.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.7056 0.7646 0.808 0.192
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.8081 0.7580 0.248 0.752
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 2 0.9209 0.5990 0.336 0.664
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.0000 0.8429 1.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.8429 1.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.9044 0.6419 0.320 0.680
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.9635 0.3839 0.612 0.388
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0376 0.8434 0.996 0.004
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0672 0.8435 0.992 0.008
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.3431 0.8444 0.064 0.936
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.5059 0.8464 0.112 0.888
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.8429 1.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 2 0.8386 0.7225 0.268 0.732
#> C6D88493-258C-481E-B3A4-75DA86C25C43 2 0.4431 0.8469 0.092 0.908
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 2 0.9248 0.5899 0.340 0.660
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.0000 0.8429 1.000 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.9460 0.5709 0.364 0.636
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.9460 0.4558 0.636 0.364
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.9044 0.5631 0.680 0.320
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.3274 0.8436 0.060 0.940
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0938 0.8258 0.012 0.988
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.0000 0.8429 1.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.8207 0.7491 0.256 0.744
#> 89430A30-8758-4E5B-8186-999EA234E39A 2 0.9248 0.5899 0.340 0.660
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.7883 0.7083 0.764 0.236
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.5059 0.8456 0.112 0.888
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.0000 0.8429 1.000 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.6801 0.7758 0.820 0.180
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 1.0000 0.2267 0.496 0.504
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.8188 0.000 1.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.0938 0.8435 0.988 0.012
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.5178 0.8444 0.116 0.884
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.8429 1.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.8188 0.000 1.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.8188 0.000 1.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.5178 0.8444 0.116 0.884
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.1184 0.8434 0.984 0.016
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.5059 0.8456 0.112 0.888
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.6048 0.8337 0.148 0.852
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.3431 0.8339 0.936 0.064
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.8429 1.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.3879 0.8464 0.076 0.924
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 0.8955 0.6613 0.312 0.688
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.8207 0.7491 0.256 0.744
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.8188 0.000 1.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.6712 0.7791 0.824 0.176
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 1 0.8763 0.5218 0.704 0.296
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.5408 0.8129 0.876 0.124
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.9044 0.6419 0.320 0.680
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.9460 0.4558 0.636 0.364
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.8429 1.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.5059 0.8456 0.112 0.888
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.7674 0.7261 0.776 0.224
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.7674 0.7261 0.776 0.224
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.5059 0.8141 0.888 0.112
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.8429 1.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.5946 0.8005 0.856 0.144
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.9044 0.6419 0.320 0.680
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.3431 0.8444 0.064 0.936
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0376 0.8215 0.004 0.996
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.6887 0.7724 0.816 0.184
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.5737 0.8379 0.136 0.864
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.1414 0.8294 0.020 0.980
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.1184 0.8434 0.984 0.016
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 1.0000 0.2267 0.496 0.504
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.8081 0.7580 0.248 0.752
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0938 0.8258 0.012 0.988
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.5519 0.8095 0.872 0.128
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0672 0.8239 0.008 0.992
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.1633 0.8312 0.024 0.976
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.3879 0.8464 0.076 0.924
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.2423 0.8400 0.960 0.040
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.8188 0.000 1.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.8429 1.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.9209 0.5313 0.664 0.336
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 2 0.9044 0.6419 0.320 0.680
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0376 0.8434 0.996 0.004
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.7745 0.6945 0.772 0.228
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.5178 0.8444 0.116 0.884
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0672 0.8239 0.008 0.992
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.9248 0.5899 0.340 0.660
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.8188 0.000 1.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 2 0.6623 0.8219 0.172 0.828
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.8188 0.000 1.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.8429 1.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.8429 1.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.8429 1.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.5294 0.8442 0.120 0.880
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.5178 0.8444 0.116 0.884
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 2 0.7883 0.7642 0.236 0.764
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.6712 0.7791 0.824 0.176
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0000 0.8188 0.000 1.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.4815 0.8206 0.896 0.104
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.7219 0.7565 0.800 0.200
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.8429 1.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.8188 0.000 1.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.5059 0.8141 0.888 0.112
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.0000 0.8429 1.000 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.9661 0.3792 0.608 0.392
#> C7698440-CD13-438F-A60F-063D94C9ECAD 2 0.6623 0.8198 0.172 0.828
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.4815 0.8478 0.104 0.896
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.8861 0.5981 0.696 0.304
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 1.0000 0.2267 0.496 0.504
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.2948 0.8376 0.948 0.052
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.8207 0.7491 0.256 0.744
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.8763 0.6130 0.704 0.296
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.9732 0.4429 0.404 0.596
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.5178 0.8444 0.116 0.884
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.9983 0.0538 0.524 0.476
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.7056 0.7642 0.808 0.192
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.9754 0.3304 0.592 0.408
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.3431 0.8444 0.064 0.936
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.9993 0.0114 0.516 0.484
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.6801 0.7758 0.820 0.180
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.5059 0.8457 0.112 0.888
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0376 0.8216 0.004 0.996
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.8081 0.7580 0.248 0.752
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.8386 0.7274 0.268 0.732
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.8429 1.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0376 0.8434 0.996 0.004
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.5408 0.8114 0.876 0.124
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.8429 1.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.1414 0.8431 0.980 0.020
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.8207 0.7491 0.256 0.744
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.0000 0.8429 1.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.8386 0.7274 0.268 0.732
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.9896 0.2198 0.560 0.440
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0376 0.8215 0.004 0.996
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.6887 0.7728 0.816 0.184
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.5294 0.8442 0.120 0.880
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.8081 0.7580 0.248 0.752
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.9044 0.6419 0.320 0.680
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.0000 0.8429 1.000 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0376 0.8215 0.004 0.996
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.4431 0.8469 0.092 0.908
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.8429 1.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.5059 0.8456 0.112 0.888
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.1843 0.8416 0.972 0.028
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.5629 0.8400 0.132 0.868
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.8429 1.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.9044 0.6419 0.320 0.680
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.5842 0.8372 0.140 0.860
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 2 0.6343 0.8267 0.160 0.840
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.8188 0.000 1.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0376 0.8215 0.004 0.996
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.8429 1.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.8429 1.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.5519 0.8099 0.872 0.128
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.9795 0.2928 0.584 0.416
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.6712 0.7790 0.824 0.176
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 2 0.4431 0.8469 0.092 0.908
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.0000 0.8429 1.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0938 0.8258 0.012 0.988
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.3879 0.8464 0.076 0.924
#> 67E92530-3B19-424C-B219-958A88909046 1 0.2778 0.8385 0.952 0.048
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.8429 1.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 2 0.7745 0.7710 0.228 0.772
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0000 0.8429 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.56766 0.000 1.000 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.5560 0.52619 0.000 0.700 0.300
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.5560 0.52619 0.000 0.700 0.300
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.2448 0.62284 0.000 0.924 0.076
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.6244 0.36535 0.000 0.560 0.440
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 3 0.7847 0.38625 0.068 0.344 0.588
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.3267 0.61658 0.000 0.884 0.116
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 2 0.6235 0.36232 0.000 0.564 0.436
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.6274 0.55474 0.544 0.000 0.456
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 3 0.9042 0.48376 0.176 0.280 0.544
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.6274 0.55339 0.544 0.000 0.456
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0237 0.39982 0.004 0.000 0.996
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.2261 0.70394 0.932 0.000 0.068
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.1643 0.69085 0.956 0.000 0.044
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.5216 0.74500 0.740 0.000 0.260
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 3 0.9024 0.22214 0.132 0.420 0.448
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.7995 0.06938 0.060 0.480 0.460
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 3 0.6600 0.26455 0.012 0.384 0.604
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.5497 0.53174 0.000 0.708 0.292
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.2356 0.62156 0.000 0.928 0.072
#> B56D29F2-ADF4-43B9-9013-071466244B4A 3 0.7755 0.00444 0.048 0.460 0.492
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0237 0.39982 0.004 0.000 0.996
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0237 0.66184 0.996 0.000 0.004
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 3 0.8268 0.22834 0.328 0.096 0.576
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.56766 0.000 1.000 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.6286 0.53632 0.536 0.000 0.464
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 3 0.8932 0.21935 0.124 0.420 0.456
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 3 0.9292 0.42979 0.176 0.332 0.492
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.0237 0.66184 0.996 0.000 0.004
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.4654 0.74538 0.792 0.000 0.208
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0237 0.39982 0.004 0.000 0.996
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 3 0.9037 0.11759 0.392 0.136 0.472
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.5098 0.74749 0.752 0.000 0.248
#> AA838488-4A13-4998-B261-91590113F37D 1 0.4842 0.74780 0.776 0.000 0.224
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.5988 0.46753 0.000 0.632 0.368
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.6305 0.24072 0.000 0.516 0.484
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0237 0.66184 0.996 0.000 0.004
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 3 0.8902 0.31735 0.124 0.396 0.480
#> C6D88493-258C-481E-B3A4-75DA86C25C43 2 0.6252 0.34486 0.000 0.556 0.444
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 3 0.9314 0.43473 0.180 0.328 0.492
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.1163 0.68178 0.972 0.000 0.028
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 3 0.9802 0.37493 0.240 0.360 0.400
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 3 0.9021 0.02099 0.416 0.132 0.452
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 3 0.7757 -0.14795 0.408 0.052 0.540
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.5948 0.47585 0.000 0.640 0.360
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.1643 0.59722 0.000 0.956 0.044
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.3267 0.72396 0.884 0.000 0.116
#> 081452CB-9401-4678-9BA2-431CB2ECF105 3 0.9024 0.22214 0.132 0.420 0.448
#> 89430A30-8758-4E5B-8186-999EA234E39A 3 0.9314 0.43473 0.180 0.328 0.492
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.7372 0.45077 0.520 0.032 0.448
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.6308 0.22648 0.000 0.508 0.492
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.0237 0.66184 0.996 0.000 0.004
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.6267 0.56186 0.548 0.000 0.452
#> EFA708D5-586A-4184-B614-48AEFC5E8631 1 0.9736 -0.38352 0.396 0.224 0.380
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.2165 0.61652 0.000 0.936 0.064
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.4346 0.74115 0.816 0.000 0.184
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.6309 0.20893 0.000 0.504 0.496
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0237 0.66184 0.996 0.000 0.004
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.56766 0.000 1.000 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.2356 0.62143 0.000 0.928 0.072
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 3 0.6309 -0.22413 0.000 0.500 0.500
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.4842 0.74594 0.776 0.000 0.224
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.6308 0.22272 0.000 0.508 0.492
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 3 0.7069 -0.09047 0.020 0.472 0.508
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.5363 0.72388 0.724 0.000 0.276
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.2796 0.71296 0.908 0.000 0.092
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.6235 0.37155 0.000 0.564 0.436
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 3 0.8247 0.42665 0.096 0.324 0.580
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 3 0.9024 0.22214 0.132 0.420 0.448
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.56766 0.000 1.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.6260 0.56908 0.552 0.000 0.448
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 1 0.8435 0.19779 0.600 0.132 0.268
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.6095 0.65047 0.608 0.000 0.392
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0237 0.39982 0.004 0.000 0.996
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 3 0.9021 0.02099 0.416 0.132 0.452
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0424 0.66441 0.992 0.000 0.008
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.6308 0.22648 0.000 0.508 0.492
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.6309 0.45930 0.504 0.000 0.496
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.6309 0.45930 0.504 0.000 0.496
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.6033 0.68450 0.660 0.004 0.336
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0237 0.66184 0.996 0.000 0.004
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.6168 0.62022 0.588 0.000 0.412
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0237 0.39982 0.004 0.000 0.996
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.5988 0.46753 0.000 0.632 0.368
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.2625 0.62404 0.000 0.916 0.084
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.6274 0.55339 0.544 0.000 0.456
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 3 0.6518 -0.14433 0.004 0.484 0.512
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.3267 0.61658 0.000 0.884 0.116
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.4842 0.74594 0.776 0.000 0.224
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 1 0.9736 -0.38352 0.396 0.224 0.380
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 3 0.8932 0.21935 0.124 0.420 0.456
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.1643 0.59722 0.000 0.956 0.044
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.6111 0.64060 0.604 0.000 0.396
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.2625 0.62101 0.000 0.916 0.084
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.4796 0.57428 0.000 0.780 0.220
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.6140 0.41955 0.000 0.596 0.404
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.5098 0.73973 0.752 0.000 0.248
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.56766 0.000 1.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.5178 0.74580 0.744 0.000 0.256
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 3 0.7438 -0.10078 0.392 0.040 0.568
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0237 0.39982 0.004 0.000 0.996
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.5216 0.74500 0.740 0.000 0.260
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.7757 0.45760 0.540 0.052 0.408
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.6309 0.20893 0.000 0.504 0.496
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.2625 0.62101 0.000 0.916 0.084
#> 8B23AB23-8931-42CA-972D-1528D44BF218 3 0.9314 0.43473 0.180 0.328 0.492
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.2448 0.62284 0.000 0.924 0.076
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 3 0.6919 0.01973 0.016 0.448 0.536
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.2356 0.62156 0.000 0.928 0.072
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.5178 0.74580 0.744 0.000 0.256
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.5178 0.74580 0.744 0.000 0.256
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.3192 0.72263 0.888 0.000 0.112
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.6309 0.20728 0.000 0.504 0.496
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.6309 0.20893 0.000 0.504 0.496
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 3 0.6600 0.26455 0.012 0.384 0.604
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.6260 0.56908 0.552 0.000 0.448
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.2356 0.62156 0.000 0.928 0.072
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.5988 0.67164 0.632 0.000 0.368
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.6505 0.52198 0.528 0.004 0.468
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.3267 0.72396 0.884 0.000 0.116
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.2356 0.62156 0.000 0.928 0.072
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.6033 0.68450 0.660 0.004 0.336
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.0237 0.66184 0.996 0.000 0.004
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 3 0.8297 0.15261 0.348 0.092 0.560
#> C7698440-CD13-438F-A60F-063D94C9ECAD 3 0.7838 0.01821 0.052 0.460 0.488
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.6291 0.28818 0.000 0.532 0.468
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 3 0.7329 -0.21786 0.424 0.032 0.544
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 1 0.9736 -0.38352 0.396 0.224 0.380
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.5529 0.72806 0.704 0.000 0.296
#> 08C4C14A-94A8-4063-BBC3-916579960078 3 0.9024 0.22214 0.132 0.420 0.448
#> B11753A0-829F-4913-B894-F07A53FF1C92 3 0.7346 -0.24712 0.432 0.032 0.536
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 3 0.9161 0.48699 0.188 0.280 0.532
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.6309 0.19539 0.000 0.500 0.500
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 3 0.9471 0.37842 0.308 0.208 0.484
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.6286 0.53702 0.536 0.000 0.464
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 3 0.8291 0.20769 0.320 0.100 0.580
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.5988 0.46753 0.000 0.632 0.368
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 3 0.9498 0.39855 0.300 0.216 0.484
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.6267 0.56186 0.548 0.000 0.452
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.6299 0.25948 0.000 0.524 0.476
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.1031 0.58286 0.000 0.976 0.024
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 3 0.8932 0.21935 0.124 0.420 0.456
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 3 0.7676 0.35712 0.056 0.360 0.584
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.5216 0.74537 0.740 0.000 0.260
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.5216 0.74500 0.740 0.000 0.260
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.6062 0.65635 0.616 0.000 0.384
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.3267 0.72213 0.884 0.000 0.116
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.5058 0.74779 0.756 0.000 0.244
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 3 0.9024 0.22214 0.132 0.420 0.448
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.0237 0.66184 0.996 0.000 0.004
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 3 0.7676 0.35712 0.056 0.360 0.584
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 3 0.8462 0.29331 0.288 0.124 0.588
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.2625 0.62404 0.000 0.916 0.084
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.6274 0.55539 0.544 0.000 0.456
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.6309 0.20728 0.000 0.504 0.496
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 3 0.8932 0.21935 0.124 0.420 0.456
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0237 0.39982 0.004 0.000 0.996
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.1163 0.68178 0.972 0.000 0.028
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.2625 0.62404 0.000 0.916 0.084
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.6286 0.30814 0.000 0.536 0.464
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.1643 0.69085 0.956 0.000 0.044
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.6308 0.22648 0.000 0.508 0.492
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.5431 0.73378 0.716 0.000 0.284
#> EB818546-2380-480F-AA7A-529857F5912C 3 0.6823 -0.15327 0.012 0.484 0.504
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.5178 0.74580 0.744 0.000 0.256
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0237 0.39982 0.004 0.000 0.996
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 3 0.7072 -0.11560 0.020 0.476 0.504
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 3 0.6936 -0.02819 0.016 0.460 0.524
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.2356 0.62143 0.000 0.928 0.072
#> CC008807-7264-4593-966F-104992B35873 2 0.2625 0.62404 0.000 0.916 0.084
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.4605 0.74543 0.796 0.000 0.204
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.5178 0.74580 0.744 0.000 0.256
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.6111 0.64210 0.604 0.000 0.396
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 3 0.8312 0.24213 0.324 0.100 0.576
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.6260 0.56724 0.552 0.000 0.448
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 2 0.6252 0.34486 0.000 0.556 0.444
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.0237 0.66184 0.996 0.000 0.004
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.1643 0.59722 0.000 0.956 0.044
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.6244 0.36535 0.000 0.560 0.440
#> 67E92530-3B19-424C-B219-958A88909046 1 0.5465 0.73143 0.712 0.000 0.288
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.2878 0.71480 0.904 0.000 0.096
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 3 0.8507 0.21419 0.092 0.424 0.484
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.3340 0.72536 0.880 0.000 0.120
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.3908 0.7921 0.000 0.784 0.004 0.212
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.3764 0.3579 0.000 0.216 0.000 0.784
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.3764 0.3579 0.000 0.216 0.000 0.784
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.4804 0.8979 0.000 0.616 0.000 0.384
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.1211 0.6856 0.000 0.040 0.000 0.960
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 4 0.3626 0.7058 0.184 0.000 0.004 0.812
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.4888 0.8694 0.000 0.588 0.000 0.412
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.1743 0.6801 0.004 0.056 0.000 0.940
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.4607 0.6705 0.716 0.004 0.004 0.276
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.4535 0.5360 0.292 0.000 0.004 0.704
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.4607 0.6697 0.716 0.004 0.004 0.276
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0336 1.0000 0.000 0.000 0.992 0.008
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.4038 0.7101 0.828 0.136 0.004 0.032
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.3380 0.6872 0.852 0.136 0.004 0.008
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.2266 0.7746 0.912 0.004 0.000 0.084
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 4 0.3172 0.7088 0.160 0.000 0.000 0.840
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 4 0.1978 0.7337 0.068 0.004 0.000 0.928
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 4 0.3289 0.7244 0.140 0.004 0.004 0.852
#> 851B9B77-547A-43CC-B939-428E0A26C67C 4 0.3873 0.3198 0.000 0.228 0.000 0.772
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.4761 0.9049 0.000 0.628 0.000 0.372
#> B56D29F2-ADF4-43B9-9013-071466244B4A 4 0.1978 0.7472 0.068 0.000 0.004 0.928
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0336 1.0000 0.000 0.000 0.992 0.008
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.3870 0.6161 0.788 0.208 0.004 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.5168 -0.1207 0.492 0.000 0.004 0.504
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.3908 0.7921 0.000 0.784 0.004 0.212
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.4661 0.6604 0.708 0.004 0.004 0.284
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 4 0.3074 0.7138 0.152 0.000 0.000 0.848
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.4155 0.6262 0.240 0.000 0.004 0.756
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.3870 0.6161 0.788 0.208 0.004 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.2722 0.7695 0.904 0.032 0.000 0.064
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0336 1.0000 0.000 0.000 0.992 0.008
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.5163 0.2094 0.516 0.000 0.004 0.480
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.2915 0.7761 0.892 0.016 0.004 0.088
#> AA838488-4A13-4998-B261-91590113F37D 1 0.3013 0.7735 0.888 0.032 0.000 0.080
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 4 0.2973 0.5398 0.000 0.144 0.000 0.856
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 4 0.1733 0.7309 0.028 0.024 0.000 0.948
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.3870 0.6161 0.788 0.208 0.004 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.3448 0.7030 0.168 0.000 0.004 0.828
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.1576 0.6910 0.004 0.048 0.000 0.948
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.4188 0.6195 0.244 0.000 0.004 0.752
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.3402 0.6586 0.832 0.164 0.004 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 4 0.4193 0.6048 0.268 0.000 0.000 0.732
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.5147 0.2825 0.536 0.000 0.004 0.460
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.5233 0.4160 0.580 0.004 0.004 0.412
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 4 0.3024 0.5301 0.000 0.148 0.000 0.852
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.4477 0.8763 0.000 0.688 0.000 0.312
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.2706 0.7354 0.900 0.080 0.000 0.020
#> 081452CB-9401-4678-9BA2-431CB2ECF105 4 0.3172 0.7088 0.160 0.000 0.000 0.840
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.4188 0.6195 0.244 0.000 0.004 0.752
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.5033 0.6063 0.664 0.008 0.004 0.324
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 4 0.1042 0.7331 0.020 0.008 0.000 0.972
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.3870 0.6161 0.788 0.208 0.004 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.4579 0.6745 0.720 0.004 0.004 0.272
#> EFA708D5-586A-4184-B614-48AEFC5E8631 4 0.6928 0.3370 0.268 0.156 0.000 0.576
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.4713 0.9047 0.000 0.640 0.000 0.360
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.3947 0.7650 0.848 0.072 0.004 0.076
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 4 0.0895 0.7357 0.020 0.004 0.000 0.976
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.3870 0.6161 0.788 0.208 0.004 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.3908 0.7921 0.000 0.784 0.004 0.212
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.4790 0.9009 0.000 0.620 0.000 0.380
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 4 0.0707 0.7362 0.020 0.000 0.000 0.980
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.3900 0.7733 0.848 0.052 0.004 0.096
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 4 0.1042 0.7340 0.020 0.008 0.000 0.972
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 4 0.1762 0.7449 0.048 0.004 0.004 0.944
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.4405 0.7650 0.800 0.048 0.000 0.152
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.2520 0.7161 0.904 0.088 0.004 0.004
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.1302 0.6820 0.000 0.044 0.000 0.956
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.3908 0.6707 0.212 0.000 0.004 0.784
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 4 0.3172 0.7088 0.160 0.000 0.000 0.840
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.3908 0.7921 0.000 0.784 0.004 0.212
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.4551 0.6788 0.724 0.004 0.004 0.268
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 1 0.7452 0.3105 0.476 0.156 0.004 0.364
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.4089 0.7267 0.780 0.004 0.004 0.212
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0336 1.0000 0.000 0.000 0.992 0.008
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.5147 0.2825 0.536 0.000 0.004 0.460
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.3791 0.6231 0.796 0.200 0.004 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 4 0.1042 0.7331 0.020 0.008 0.000 0.972
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.4876 0.6101 0.672 0.004 0.004 0.320
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.4876 0.6101 0.672 0.004 0.004 0.320
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.4546 0.7429 0.780 0.028 0.004 0.188
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.3870 0.6161 0.788 0.208 0.004 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.4442 0.7087 0.752 0.008 0.004 0.236
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0336 1.0000 0.000 0.000 0.992 0.008
#> 25652859-77A4-43A3-8C72-B78E7F165924 4 0.2973 0.5398 0.000 0.144 0.000 0.856
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.4855 0.8850 0.000 0.600 0.000 0.400
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.4607 0.6697 0.716 0.004 0.004 0.276
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 4 0.1489 0.7438 0.044 0.004 0.000 0.952
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.4888 0.8694 0.000 0.588 0.000 0.412
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.3900 0.7733 0.848 0.052 0.004 0.096
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 4 0.6928 0.3370 0.268 0.156 0.000 0.576
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 4 0.3074 0.7138 0.152 0.000 0.000 0.848
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.4477 0.8763 0.000 0.688 0.000 0.312
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.4126 0.7204 0.776 0.004 0.004 0.216
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.4855 0.8936 0.000 0.644 0.004 0.352
#> F7B2E263-F0AE-440E-96C5-139233079A06 4 0.4948 -0.5499 0.000 0.440 0.000 0.560
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.2149 0.6298 0.000 0.088 0.000 0.912
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.4254 0.7723 0.824 0.052 0.004 0.120
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.3908 0.7921 0.000 0.784 0.004 0.212
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.2197 0.7746 0.916 0.004 0.000 0.080
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.5269 0.3764 0.564 0.004 0.004 0.428
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0336 1.0000 0.000 0.000 0.992 0.008
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.2266 0.7746 0.912 0.004 0.000 0.084
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.5383 0.5968 0.664 0.024 0.004 0.308
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 4 0.0895 0.7357 0.020 0.004 0.000 0.976
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.4855 0.8936 0.000 0.644 0.004 0.352
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.4188 0.6195 0.244 0.000 0.004 0.752
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.4804 0.8979 0.000 0.616 0.000 0.384
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.2125 0.7454 0.076 0.000 0.004 0.920
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.4746 0.9053 0.000 0.632 0.000 0.368
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.2197 0.7746 0.916 0.004 0.000 0.080
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.2197 0.7746 0.916 0.004 0.000 0.080
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.2593 0.7328 0.904 0.080 0.000 0.016
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 4 0.1388 0.7366 0.028 0.012 0.000 0.960
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 4 0.0895 0.7357 0.020 0.004 0.000 0.976
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 4 0.3289 0.7244 0.140 0.004 0.004 0.852
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.4551 0.6788 0.724 0.004 0.004 0.268
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.4761 0.9049 0.000 0.628 0.000 0.372
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.3710 0.7382 0.804 0.004 0.000 0.192
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.4713 0.6517 0.700 0.004 0.004 0.292
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.2706 0.7354 0.900 0.080 0.000 0.020
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.4746 0.9053 0.000 0.632 0.000 0.368
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.4546 0.7429 0.780 0.028 0.004 0.188
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.3870 0.6161 0.788 0.208 0.004 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.5167 0.1782 0.508 0.000 0.004 0.488
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.2053 0.7429 0.072 0.000 0.004 0.924
#> 57787823-A815-4783-930C-A5752E48FFBA 4 0.1913 0.7156 0.020 0.040 0.000 0.940
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.5190 0.4594 0.596 0.004 0.004 0.396
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 4 0.6928 0.3370 0.268 0.156 0.000 0.576
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.3455 0.7687 0.852 0.012 0.004 0.132
#> 08C4C14A-94A8-4063-BBC3-916579960078 4 0.3172 0.7088 0.160 0.000 0.000 0.840
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.5165 0.4777 0.604 0.004 0.004 0.388
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 4 0.4608 0.5117 0.304 0.000 0.004 0.692
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 4 0.0707 0.7362 0.020 0.000 0.000 0.980
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.5088 0.1358 0.424 0.000 0.004 0.572
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.4661 0.6602 0.708 0.004 0.004 0.284
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.5336 -0.1443 0.492 0.004 0.004 0.500
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 4 0.2973 0.5398 0.000 0.144 0.000 0.856
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.5070 0.1680 0.416 0.000 0.004 0.580
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.4579 0.6745 0.720 0.004 0.004 0.272
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 4 0.1520 0.7272 0.020 0.024 0.000 0.956
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.4356 0.8597 0.000 0.708 0.000 0.292
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 4 0.3074 0.7138 0.152 0.000 0.000 0.848
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.3311 0.7142 0.172 0.000 0.000 0.828
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.2266 0.7749 0.912 0.004 0.000 0.084
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.2266 0.7746 0.912 0.004 0.000 0.084
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.4355 0.7297 0.772 0.012 0.004 0.212
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.2310 0.7302 0.920 0.068 0.004 0.008
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.3200 0.7764 0.880 0.024 0.004 0.092
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 4 0.3172 0.7088 0.160 0.000 0.000 0.840
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.3870 0.6161 0.788 0.208 0.004 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 4 0.3311 0.7142 0.172 0.000 0.000 0.828
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 4 0.5447 -0.0272 0.460 0.008 0.004 0.528
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.4855 0.8850 0.000 0.600 0.000 0.400
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.4607 0.6711 0.716 0.004 0.004 0.276
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 4 0.1388 0.7366 0.028 0.012 0.000 0.960
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 4 0.3074 0.7138 0.152 0.000 0.000 0.848
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0336 1.0000 0.000 0.000 0.992 0.008
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.3402 0.6586 0.832 0.164 0.004 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.4866 0.8805 0.000 0.596 0.000 0.404
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.0779 0.7124 0.004 0.016 0.000 0.980
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.3380 0.6872 0.852 0.136 0.004 0.008
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.1042 0.7331 0.020 0.008 0.000 0.972
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.2654 0.7701 0.888 0.004 0.000 0.108
#> EB818546-2380-480F-AA7A-529857F5912C 4 0.1209 0.7419 0.032 0.000 0.004 0.964
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.2197 0.7746 0.916 0.004 0.000 0.080
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0336 1.0000 0.000 0.000 0.992 0.008
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 4 0.1398 0.7439 0.040 0.000 0.004 0.956
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.2010 0.7461 0.060 0.004 0.004 0.932
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.4790 0.9009 0.000 0.620 0.000 0.380
#> CC008807-7264-4593-966F-104992B35873 2 0.4855 0.8850 0.000 0.600 0.000 0.400
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.3370 0.7711 0.872 0.048 0.000 0.080
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.2197 0.7746 0.916 0.004 0.000 0.080
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.4126 0.7214 0.776 0.004 0.004 0.216
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.5167 -0.1023 0.488 0.000 0.004 0.508
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.4551 0.6779 0.724 0.004 0.004 0.268
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.1576 0.6910 0.004 0.048 0.000 0.948
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.3870 0.6161 0.788 0.208 0.004 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.4477 0.8763 0.000 0.688 0.000 0.312
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.1211 0.6856 0.000 0.040 0.000 0.960
#> 67E92530-3B19-424C-B219-958A88909046 1 0.3519 0.7704 0.852 0.016 0.004 0.128
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.2452 0.7191 0.908 0.084 0.004 0.004
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.2999 0.7223 0.132 0.000 0.004 0.864
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.2813 0.7381 0.896 0.080 0.000 0.024
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0324 0.55963 0.004 0.992 0 0.000 0.004
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 5 0.3585 0.48223 0.004 0.220 0 0.004 0.772
#> B626F298-622E-4C4F-8217-71D1234A6670 5 0.3585 0.48223 0.004 0.220 0 0.004 0.772
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.4088 0.78895 0.000 0.632 0 0.000 0.368
#> EB246839-8CB3-4B57-985E-DCEE23692361 5 0.1205 0.73634 0.000 0.040 0 0.004 0.956
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 5 0.3305 0.68866 0.000 0.000 0 0.224 0.776
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.4310 0.75773 0.004 0.604 0 0.000 0.392
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 5 0.2079 0.72498 0.000 0.064 0 0.020 0.916
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.2074 0.71775 0.000 0.000 0 0.896 0.104
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 5 0.4264 0.41240 0.004 0.000 0 0.376 0.620
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.2127 0.71866 0.000 0.000 0 0.892 0.108
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 1.00000 0.000 0.000 1 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 4 0.4161 0.27206 0.392 0.000 0 0.608 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 4 0.4297 -0.00928 0.472 0.000 0 0.528 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 4 0.2690 0.65759 0.156 0.000 0 0.844 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 5 0.3792 0.70269 0.020 0.008 0 0.180 0.792
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.2766 0.74648 0.024 0.008 0 0.084 0.884
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 5 0.3160 0.71562 0.004 0.000 0 0.188 0.808
#> 851B9B77-547A-43CC-B939-428E0A26C67C 5 0.3676 0.45311 0.004 0.232 0 0.004 0.760
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.3816 0.81634 0.000 0.696 0 0.000 0.304
#> B56D29F2-ADF4-43B9-9013-071466244B4A 5 0.2127 0.76590 0.000 0.000 0 0.108 0.892
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 1.00000 0.000 0.000 1 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.2127 0.88320 0.892 0.000 0 0.108 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.4211 0.41425 0.004 0.000 0 0.636 0.360
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0324 0.55963 0.004 0.992 0 0.000 0.004
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.2969 0.71805 0.020 0.000 0 0.852 0.128
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.3583 0.71241 0.016 0.008 0 0.168 0.808
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 5 0.3999 0.51593 0.000 0.000 0 0.344 0.656
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.0880 0.82752 0.968 0.000 0 0.032 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 4 0.3366 0.59032 0.232 0.000 0 0.768 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 1.00000 0.000 0.000 1 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.4551 0.38627 0.016 0.000 0 0.616 0.368
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.2439 0.68500 0.120 0.000 0 0.876 0.004
#> AA838488-4A13-4998-B261-91590113F37D 4 0.2516 0.66936 0.140 0.000 0 0.860 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 5 0.2921 0.62106 0.004 0.148 0 0.004 0.844
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 5 0.1588 0.76655 0.008 0.016 0 0.028 0.948
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.1908 0.88724 0.908 0.000 0 0.092 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 5 0.3662 0.65578 0.004 0.000 0 0.252 0.744
#> C6D88493-258C-481E-B3A4-75DA86C25C43 5 0.1943 0.73012 0.000 0.056 0 0.020 0.924
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 5 0.4015 0.50700 0.000 0.000 0 0.348 0.652
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.2848 0.79408 0.840 0.004 0 0.156 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 5 0.4630 0.60677 0.020 0.008 0 0.300 0.672
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 4 0.4268 0.45084 0.008 0.000 0 0.648 0.344
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 4 0.3934 0.59160 0.008 0.000 0 0.716 0.276
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 5 0.2964 0.61530 0.004 0.152 0 0.004 0.840
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.3421 0.75166 0.008 0.788 0 0.000 0.204
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 4 0.3707 0.50454 0.284 0.000 0 0.716 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 5 0.3792 0.70269 0.020 0.008 0 0.180 0.792
#> 89430A30-8758-4E5B-8186-999EA234E39A 5 0.4015 0.50700 0.000 0.000 0 0.348 0.652
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 4 0.3732 0.69047 0.032 0.000 0 0.792 0.176
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 5 0.0771 0.76536 0.000 0.004 0 0.020 0.976
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.2127 0.88320 0.892 0.000 0 0.108 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.2020 0.71767 0.000 0.000 0 0.900 0.100
#> EFA708D5-586A-4184-B614-48AEFC5E8631 5 0.6295 0.37328 0.296 0.004 0 0.164 0.536
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.3730 0.81588 0.000 0.712 0 0.000 0.288
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 4 0.2966 0.63435 0.184 0.000 0 0.816 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 5 0.1041 0.76781 0.004 0.000 0 0.032 0.964
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.1908 0.88724 0.908 0.000 0 0.092 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0324 0.55963 0.004 0.992 0 0.000 0.004
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.4074 0.79208 0.000 0.636 0 0.000 0.364
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 5 0.1124 0.76882 0.004 0.000 0 0.036 0.960
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.2886 0.67079 0.148 0.000 0 0.844 0.008
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 5 0.1202 0.76815 0.004 0.004 0 0.032 0.960
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 5 0.1697 0.77005 0.008 0.000 0 0.060 0.932
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.2909 0.68611 0.140 0.000 0 0.848 0.012
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.4305 0.03497 0.512 0.000 0 0.488 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 5 0.1282 0.73350 0.000 0.044 0 0.004 0.952
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 5 0.3884 0.60531 0.004 0.000 0 0.288 0.708
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 5 0.3792 0.70269 0.020 0.008 0 0.180 0.792
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0324 0.55963 0.004 0.992 0 0.000 0.004
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.1965 0.71839 0.000 0.000 0 0.904 0.096
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 4 0.6948 0.03704 0.328 0.004 0 0.360 0.308
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.2344 0.72233 0.032 0.000 0 0.904 0.064
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 1.00000 0.000 0.000 1 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.4268 0.45084 0.008 0.000 0 0.648 0.344
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.2329 0.87004 0.876 0.000 0 0.124 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 5 0.0771 0.76536 0.000 0.004 0 0.020 0.976
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.2648 0.70419 0.000 0.000 0 0.848 0.152
#> 3E070741-BBA0-4806-8D74-08595E249252 4 0.2648 0.70419 0.000 0.000 0 0.848 0.152
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.3526 0.70150 0.096 0.000 0 0.832 0.072
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.1908 0.88724 0.908 0.000 0 0.092 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.2850 0.72396 0.036 0.000 0 0.872 0.092
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 1.00000 0.000 0.000 1 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 5 0.2921 0.62106 0.004 0.148 0 0.004 0.844
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.4138 0.77299 0.000 0.616 0 0.000 0.384
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.2127 0.71866 0.000 0.000 0 0.892 0.108
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 5 0.1831 0.76791 0.004 0.000 0 0.076 0.920
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.4310 0.75773 0.004 0.604 0 0.000 0.392
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.2886 0.67079 0.148 0.000 0 0.844 0.008
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 5 0.6295 0.37328 0.296 0.004 0 0.164 0.536
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 5 0.3250 0.71932 0.004 0.008 0 0.168 0.820
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.3421 0.75166 0.008 0.788 0 0.000 0.204
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.3593 0.71822 0.088 0.000 0 0.828 0.084
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.3949 0.80708 0.004 0.696 0 0.000 0.300
#> F7B2E263-F0AE-440E-96C5-139233079A06 5 0.4430 -0.42493 0.004 0.456 0 0.000 0.540
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 5 0.2112 0.69766 0.004 0.084 0 0.004 0.908
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.2563 0.68662 0.120 0.000 0 0.872 0.008
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0324 0.55963 0.004 0.992 0 0.000 0.004
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 4 0.2773 0.65203 0.164 0.000 0 0.836 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.3689 0.60579 0.004 0.000 0 0.740 0.256
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 1.00000 0.000 0.000 1 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 4 0.2732 0.65406 0.160 0.000 0 0.840 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 4 0.4489 0.63435 0.068 0.000 0 0.740 0.192
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 5 0.1041 0.76781 0.004 0.000 0 0.032 0.964
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.3949 0.80708 0.004 0.696 0 0.000 0.300
#> 8B23AB23-8931-42CA-972D-1528D44BF218 5 0.4015 0.50700 0.000 0.000 0 0.348 0.652
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.4088 0.78895 0.000 0.632 0 0.000 0.368
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 5 0.2629 0.75174 0.004 0.000 0 0.136 0.860
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.3796 0.81711 0.000 0.700 0 0.000 0.300
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 4 0.2813 0.64866 0.168 0.000 0 0.832 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 4 0.2813 0.64866 0.168 0.000 0 0.832 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.3966 0.42500 0.336 0.000 0 0.664 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 5 0.1243 0.76794 0.008 0.004 0 0.028 0.960
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 5 0.1041 0.76781 0.004 0.000 0 0.032 0.964
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 5 0.3160 0.71562 0.004 0.000 0 0.188 0.808
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.1965 0.71839 0.000 0.000 0 0.904 0.096
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.3816 0.81634 0.000 0.696 0 0.000 0.304
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 4 0.3401 0.71471 0.096 0.000 0 0.840 0.064
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.2389 0.71412 0.004 0.000 0 0.880 0.116
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 4 0.3707 0.50454 0.284 0.000 0 0.716 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.3796 0.81711 0.000 0.700 0 0.000 0.300
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 4 0.3526 0.70150 0.096 0.000 0 0.832 0.072
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.1908 0.88724 0.908 0.000 0 0.092 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.4435 0.47107 0.016 0.000 0 0.648 0.336
#> C7698440-CD13-438F-A60F-063D94C9ECAD 5 0.2488 0.74659 0.004 0.000 0 0.124 0.872
#> 57787823-A815-4783-930C-A5752E48FFBA 5 0.1772 0.75690 0.008 0.032 0 0.020 0.940
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 4 0.3521 0.64098 0.004 0.000 0 0.764 0.232
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 5 0.6295 0.37328 0.296 0.004 0 0.164 0.536
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.3099 0.70003 0.124 0.000 0 0.848 0.028
#> 08C4C14A-94A8-4063-BBC3-916579960078 5 0.3792 0.70269 0.020 0.008 0 0.180 0.792
#> B11753A0-829F-4913-B894-F07A53FF1C92 4 0.3461 0.64883 0.004 0.000 0 0.772 0.224
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 5 0.4547 0.37295 0.012 0.000 0 0.400 0.588
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 5 0.0880 0.76783 0.000 0.000 0 0.032 0.968
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.4641 0.11903 0.012 0.000 0 0.532 0.456
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.2286 0.71631 0.004 0.000 0 0.888 0.108
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.4135 0.45070 0.004 0.000 0 0.656 0.340
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 5 0.2921 0.62106 0.004 0.148 0 0.004 0.844
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.4648 0.08580 0.012 0.000 0 0.524 0.464
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.2020 0.71767 0.000 0.000 0 0.900 0.100
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 5 0.1646 0.76495 0.004 0.020 0 0.032 0.944
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.2753 0.69931 0.008 0.856 0 0.000 0.136
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 5 0.3583 0.71241 0.016 0.008 0 0.168 0.808
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 5 0.3333 0.70278 0.004 0.000 0 0.208 0.788
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 4 0.2690 0.65808 0.156 0.000 0 0.844 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 4 0.2732 0.65406 0.160 0.000 0 0.840 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 4 0.2473 0.72122 0.032 0.000 0 0.896 0.072
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.4256 0.16435 0.436 0.000 0 0.564 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 4 0.2723 0.68682 0.124 0.000 0 0.864 0.012
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 5 0.3792 0.70269 0.020 0.008 0 0.180 0.792
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.0880 0.82752 0.968 0.000 0 0.032 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 5 0.3333 0.70278 0.004 0.000 0 0.208 0.788
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 4 0.4288 0.38360 0.004 0.000 0 0.612 0.384
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.4138 0.77299 0.000 0.616 0 0.000 0.384
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.2411 0.71916 0.008 0.000 0 0.884 0.108
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 5 0.1243 0.76794 0.008 0.004 0 0.028 0.960
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.3250 0.71932 0.004 0.008 0 0.168 0.820
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 1.00000 0.000 0.000 1 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.2848 0.79408 0.840 0.004 0 0.156 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.4150 0.76766 0.000 0.612 0 0.000 0.388
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 5 0.1018 0.75251 0.000 0.016 0 0.016 0.968
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 4 0.4297 -0.00928 0.472 0.000 0 0.528 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 5 0.0771 0.76536 0.000 0.004 0 0.020 0.976
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.3278 0.67421 0.156 0.000 0 0.824 0.020
#> EB818546-2380-480F-AA7A-529857F5912C 5 0.1270 0.77141 0.000 0.000 0 0.052 0.948
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 4 0.2773 0.65203 0.164 0.000 0 0.836 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 1.00000 0.000 0.000 1 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 5 0.1410 0.77181 0.000 0.000 0 0.060 0.940
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 5 0.1892 0.76702 0.004 0.000 0 0.080 0.916
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.4074 0.79208 0.000 0.636 0 0.000 0.364
#> CC008807-7264-4593-966F-104992B35873 2 0.4138 0.77299 0.000 0.616 0 0.000 0.384
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 4 0.3177 0.61820 0.208 0.000 0 0.792 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 4 0.2813 0.64866 0.168 0.000 0 0.832 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.3159 0.72396 0.056 0.000 0 0.856 0.088
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.4211 0.41078 0.004 0.000 0 0.636 0.360
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.2068 0.71866 0.004 0.000 0 0.904 0.092
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 5 0.1943 0.73012 0.000 0.056 0 0.020 0.924
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.1908 0.88724 0.908 0.000 0 0.092 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.3421 0.75166 0.008 0.788 0 0.000 0.204
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 5 0.1205 0.73634 0.000 0.040 0 0.004 0.956
#> 67E92530-3B19-424C-B219-958A88909046 4 0.3060 0.69746 0.128 0.000 0 0.848 0.024
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.4287 0.07898 0.460 0.000 0 0.540 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 5 0.3398 0.68900 0.004 0.000 0 0.216 0.780
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.3561 0.54423 0.260 0.000 0 0.740 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 5 0.132 0.6029 0.016 0.036 0 0.000 0.948 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 6 0.336 0.3178 0.000 0.004 0 0.000 0.264 0.732
#> B626F298-622E-4C4F-8217-71D1234A6670 6 0.336 0.3178 0.000 0.004 0 0.000 0.264 0.732
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.364 0.7929 0.000 0.004 0 0.000 0.676 0.320
#> EB246839-8CB3-4B57-985E-DCEE23692361 6 0.218 0.6262 0.020 0.024 0 0.004 0.036 0.916
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 6 0.574 0.2301 0.000 0.284 0 0.208 0.000 0.508
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.397 0.7719 0.000 0.016 0 0.000 0.652 0.332
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 6 0.280 0.5731 0.004 0.008 0 0.016 0.112 0.860
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.166 0.7232 0.000 0.016 0 0.928 0.000 0.056
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 6 0.593 0.1359 0.000 0.216 0 0.360 0.000 0.424
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.172 0.7237 0.000 0.016 0 0.924 0.000 0.060
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.000 1.0000 0.000 0.000 1 0.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 4 0.420 0.2616 0.416 0.016 0 0.568 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.426 -0.0420 0.496 0.016 0 0.488 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 4 0.298 0.6625 0.180 0.012 0 0.808 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.505 0.7601 0.000 0.640 0 0.080 0.016 0.264
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.503 0.6139 0.000 0.604 0 0.020 0.052 0.324
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 6 0.407 0.5142 0.020 0.028 0 0.212 0.000 0.740
#> 851B9B77-547A-43CC-B939-428E0A26C67C 6 0.343 0.2831 0.000 0.004 0 0.000 0.276 0.720
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 5 0.317 0.8164 0.000 0.000 0 0.000 0.744 0.256
#> B56D29F2-ADF4-43B9-9013-071466244B4A 6 0.468 0.3935 0.000 0.284 0 0.076 0.000 0.640
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.000 1.0000 0.000 0.000 1 0.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.133 0.7339 0.936 0.000 0 0.064 0.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.450 0.4766 0.012 0.036 0 0.660 0.000 0.292
#> 482285EC-BA43-441D-9986-7937B61A81D1 5 0.132 0.6029 0.016 0.036 0 0.000 0.948 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.236 0.7216 0.016 0.012 0 0.892 0.000 0.080
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.523 0.7077 0.000 0.580 0 0.072 0.016 0.332
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 6 0.508 0.3856 0.020 0.048 0 0.356 0.000 0.576
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.343 0.5598 0.720 0.276 0 0.004 0.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 4 0.356 0.5849 0.264 0.012 0 0.724 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.000 1.0000 0.000 0.000 1 0.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.537 0.4179 0.004 0.160 0 0.600 0.000 0.236
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.265 0.6907 0.144 0.012 0 0.844 0.000 0.000
#> AA838488-4A13-4998-B261-91590113F37D 4 0.293 0.6765 0.164 0.016 0 0.820 0.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 6 0.287 0.4674 0.000 0.004 0 0.000 0.192 0.804
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 6 0.203 0.6488 0.000 0.032 0 0.032 0.016 0.920
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.101 0.7349 0.956 0.000 0 0.044 0.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 6 0.427 0.5039 0.004 0.044 0 0.260 0.000 0.692
#> C6D88493-258C-481E-B3A4-75DA86C25C43 6 0.279 0.5781 0.004 0.008 0 0.020 0.104 0.864
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 6 0.509 0.3805 0.020 0.048 0 0.360 0.000 0.572
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.476 0.5469 0.592 0.344 0 0.064 0.000 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.616 0.6211 0.004 0.516 0 0.200 0.016 0.264
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 4 0.503 0.4854 0.008 0.104 0 0.644 0.000 0.244
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 4 0.449 0.6139 0.004 0.124 0 0.720 0.000 0.152
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 6 0.290 0.4622 0.000 0.004 0 0.000 0.196 0.800
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 5 0.399 0.7611 0.012 0.036 0 0.000 0.748 0.204
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 4 0.371 0.5071 0.312 0.008 0 0.680 0.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.505 0.7601 0.000 0.640 0 0.080 0.016 0.264
#> 89430A30-8758-4E5B-8186-999EA234E39A 6 0.509 0.3805 0.020 0.048 0 0.360 0.000 0.572
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 4 0.430 0.6890 0.040 0.080 0 0.772 0.000 0.108
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 6 0.253 0.6291 0.000 0.096 0 0.024 0.004 0.876
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.133 0.7339 0.936 0.000 0 0.064 0.000 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.146 0.7230 0.000 0.008 0 0.936 0.000 0.056
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.266 0.5571 0.020 0.884 0 0.060 0.000 0.036
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 5 0.308 0.8129 0.000 0.000 0 0.000 0.760 0.240
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 4 0.323 0.6410 0.212 0.012 0 0.776 0.000 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 6 0.341 0.5514 0.000 0.192 0 0.028 0.000 0.780
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.101 0.7349 0.956 0.000 0 0.044 0.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 5 0.132 0.6029 0.016 0.036 0 0.000 0.948 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 5 0.362 0.7959 0.000 0.004 0 0.000 0.680 0.316
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 6 0.424 0.4331 0.000 0.272 0 0.032 0.008 0.688
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.307 0.6734 0.180 0.016 0 0.804 0.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 6 0.355 0.5522 0.000 0.192 0 0.028 0.004 0.776
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 6 0.290 0.6365 0.000 0.084 0 0.064 0.000 0.852
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.284 0.6896 0.164 0.012 0 0.824 0.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.406 0.0819 0.552 0.008 0 0.440 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 6 0.225 0.6260 0.020 0.024 0 0.004 0.040 0.912
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 6 0.558 0.3129 0.000 0.184 0 0.276 0.000 0.540
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.505 0.7601 0.000 0.640 0 0.080 0.016 0.264
#> 15532795-F8EC-4460-9972-82EC355E3B06 5 0.132 0.6029 0.016 0.036 0 0.000 0.948 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.171 0.7242 0.004 0.012 0 0.928 0.000 0.056
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.492 0.2812 0.052 0.656 0 0.264 0.000 0.028
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.231 0.7294 0.044 0.016 0 0.904 0.000 0.036
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.000 1.0000 0.000 0.000 1 0.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.503 0.4854 0.008 0.104 0 0.644 0.000 0.244
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.156 0.7264 0.920 0.000 0 0.080 0.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 6 0.253 0.6291 0.000 0.096 0 0.024 0.004 0.876
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.244 0.7077 0.004 0.020 0 0.880 0.000 0.096
#> 3E070741-BBA0-4806-8D74-08595E249252 4 0.244 0.7077 0.004 0.020 0 0.880 0.000 0.096
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.374 0.6974 0.112 0.068 0 0.804 0.000 0.016
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.101 0.7349 0.956 0.000 0 0.044 0.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.242 0.7290 0.040 0.012 0 0.896 0.000 0.052
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.000 1.0000 0.000 0.000 1 0.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 6 0.287 0.4674 0.000 0.004 0 0.000 0.192 0.804
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 5 0.370 0.7817 0.000 0.004 0 0.000 0.660 0.336
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.172 0.7237 0.000 0.016 0 0.924 0.000 0.060
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 6 0.281 0.6253 0.020 0.032 0 0.076 0.000 0.872
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 5 0.397 0.7719 0.000 0.016 0 0.000 0.652 0.332
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.307 0.6734 0.180 0.016 0 0.804 0.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.266 0.5571 0.020 0.884 0 0.060 0.000 0.036
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.534 0.6429 0.000 0.536 0 0.072 0.016 0.376
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 5 0.399 0.7611 0.012 0.036 0 0.000 0.748 0.204
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.313 0.7227 0.088 0.012 0 0.848 0.000 0.052
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 5 0.348 0.8011 0.000 0.016 0 0.000 0.748 0.236
#> F7B2E263-F0AE-440E-96C5-139233079A06 5 0.516 0.5340 0.000 0.088 0 0.000 0.504 0.408
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 6 0.268 0.6129 0.016 0.020 0 0.004 0.080 0.880
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.294 0.6914 0.156 0.020 0 0.824 0.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 5 0.132 0.6029 0.016 0.036 0 0.000 0.948 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 4 0.305 0.6562 0.188 0.012 0 0.800 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.371 0.6230 0.012 0.024 0 0.768 0.000 0.196
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.000 1.0000 0.000 0.000 1 0.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 4 0.301 0.6585 0.184 0.012 0 0.804 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 4 0.529 0.6052 0.080 0.152 0 0.688 0.000 0.080
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 6 0.341 0.5514 0.000 0.192 0 0.028 0.000 0.780
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.348 0.8011 0.000 0.016 0 0.000 0.748 0.236
#> 8B23AB23-8931-42CA-972D-1528D44BF218 6 0.509 0.3805 0.020 0.048 0 0.360 0.000 0.572
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 5 0.364 0.7929 0.000 0.004 0 0.000 0.676 0.320
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 6 0.362 0.5918 0.020 0.036 0 0.140 0.000 0.804
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 5 0.315 0.8163 0.000 0.000 0 0.000 0.748 0.252
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 4 0.308 0.6525 0.192 0.012 0 0.796 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 4 0.308 0.6525 0.192 0.012 0 0.796 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.391 0.4146 0.368 0.008 0 0.624 0.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 6 0.194 0.6483 0.000 0.040 0 0.036 0.004 0.920
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 6 0.341 0.5514 0.000 0.192 0 0.028 0.000 0.780
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 6 0.407 0.5142 0.020 0.028 0 0.212 0.000 0.740
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.171 0.7242 0.004 0.012 0 0.928 0.000 0.056
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 5 0.317 0.8164 0.000 0.000 0 0.000 0.744 0.256
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 4 0.306 0.7177 0.104 0.012 0 0.848 0.000 0.036
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.189 0.7187 0.004 0.012 0 0.916 0.000 0.068
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 4 0.371 0.5071 0.312 0.008 0 0.680 0.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 5 0.315 0.8163 0.000 0.000 0 0.000 0.748 0.252
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 4 0.374 0.6974 0.112 0.068 0 0.804 0.000 0.016
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.101 0.7349 0.956 0.000 0 0.044 0.000 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.472 0.5328 0.000 0.104 0 0.664 0.000 0.232
#> C7698440-CD13-438F-A60F-063D94C9ECAD 6 0.357 0.6172 0.004 0.068 0 0.124 0.000 0.804
#> 57787823-A815-4783-930C-A5752E48FFBA 6 0.226 0.6401 0.000 0.024 0 0.024 0.044 0.908
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 4 0.334 0.6500 0.004 0.024 0 0.796 0.000 0.176
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.266 0.5571 0.020 0.884 0 0.060 0.000 0.036
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.266 0.7017 0.140 0.004 0 0.848 0.000 0.008
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.505 0.7601 0.000 0.640 0 0.080 0.016 0.264
#> B11753A0-829F-4913-B894-F07A53FF1C92 4 0.323 0.6537 0.004 0.020 0 0.804 0.000 0.172
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 4 0.605 -0.2123 0.000 0.256 0 0.384 0.000 0.360
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 6 0.397 0.4389 0.000 0.280 0 0.028 0.000 0.692
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.558 0.1906 0.000 0.160 0 0.516 0.000 0.324
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.177 0.7209 0.004 0.012 0 0.924 0.000 0.060
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.451 0.5099 0.020 0.036 0 0.684 0.000 0.260
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 6 0.287 0.4674 0.000 0.004 0 0.000 0.192 0.804
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.562 0.1672 0.000 0.164 0 0.508 0.000 0.328
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.146 0.7230 0.000 0.008 0 0.936 0.000 0.056
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 6 0.444 0.4407 0.000 0.272 0 0.028 0.020 0.680
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 5 0.340 0.7269 0.012 0.036 0 0.000 0.816 0.136
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.523 0.7077 0.000 0.580 0 0.072 0.016 0.332
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 6 0.579 0.1051 0.000 0.336 0 0.192 0.000 0.472
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 4 0.298 0.6632 0.180 0.012 0 0.808 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 4 0.301 0.6585 0.184 0.012 0 0.804 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 4 0.258 0.7230 0.040 0.056 0 0.888 0.000 0.016
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.409 0.1338 0.468 0.008 0 0.524 0.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 4 0.287 0.6930 0.152 0.012 0 0.832 0.000 0.004
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.505 0.7601 0.000 0.640 0 0.080 0.016 0.264
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.343 0.5598 0.720 0.276 0 0.004 0.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 6 0.579 0.1051 0.000 0.336 0 0.192 0.000 0.472
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 4 0.458 0.4534 0.020 0.028 0 0.648 0.000 0.304
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 5 0.370 0.7817 0.000 0.004 0 0.000 0.660 0.336
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.194 0.7245 0.008 0.012 0 0.916 0.000 0.064
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 6 0.194 0.6483 0.000 0.040 0 0.036 0.004 0.920
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.534 0.6429 0.000 0.536 0 0.072 0.016 0.376
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.000 1.0000 0.000 0.000 1 0.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.476 0.5469 0.592 0.344 0 0.064 0.000 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 5 0.371 0.7764 0.000 0.004 0 0.000 0.656 0.340
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 6 0.197 0.6275 0.020 0.028 0 0.012 0.012 0.928
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.426 -0.0420 0.496 0.016 0 0.488 0.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 6 0.253 0.6291 0.000 0.096 0 0.024 0.004 0.876
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.280 0.6735 0.160 0.012 0 0.828 0.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 6 0.394 0.5164 0.000 0.228 0 0.044 0.000 0.728
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 4 0.305 0.6562 0.188 0.012 0 0.800 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.000 1.0000 0.000 0.000 1 0.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 6 0.398 0.5377 0.000 0.208 0 0.056 0.000 0.736
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 6 0.280 0.6364 0.004 0.048 0 0.084 0.000 0.864
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 5 0.362 0.7959 0.000 0.004 0 0.000 0.680 0.316
#> CC008807-7264-4593-966F-104992B35873 5 0.370 0.7817 0.000 0.004 0 0.000 0.660 0.336
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 4 0.339 0.6186 0.236 0.012 0 0.752 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 4 0.308 0.6525 0.192 0.012 0 0.796 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.253 0.7294 0.060 0.004 0 0.884 0.000 0.052
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.458 0.4774 0.004 0.060 0 0.660 0.000 0.276
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.164 0.7242 0.004 0.012 0 0.932 0.000 0.052
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 6 0.279 0.5781 0.004 0.008 0 0.020 0.104 0.864
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.101 0.7349 0.956 0.000 0 0.044 0.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 5 0.399 0.7611 0.012 0.036 0 0.000 0.748 0.204
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 6 0.218 0.6262 0.020 0.024 0 0.004 0.036 0.916
#> 67E92530-3B19-424C-B219-958A88909046 4 0.258 0.6989 0.144 0.004 0 0.848 0.000 0.004
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.410 0.0494 0.492 0.008 0 0.500 0.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 6 0.439 0.5297 0.020 0.040 0 0.228 0.000 0.712
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.362 0.5463 0.292 0.008 0 0.700 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 17604 rows and 183 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 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 0.955 0.951 0.979 0.4974 0.505 0.505
#> 3 3 0.513 0.671 0.784 0.2751 0.707 0.481
#> 4 4 0.583 0.698 0.800 0.1119 0.759 0.437
#> 5 5 0.748 0.744 0.855 0.0602 0.916 0.733
#> 6 6 0.740 0.741 0.825 0.0548 0.925 0.726
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.993 0.000 1.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.0000 0.993 0.000 1.000
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.0000 0.993 0.000 1.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.993 0.000 1.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.0000 0.993 0.000 1.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0000 0.993 0.000 1.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.993 0.000 1.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 2 0.0000 0.993 0.000 1.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.967 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.1843 0.944 0.972 0.028
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.967 1.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.0000 0.993 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.967 1.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.967 1.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.967 1.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 1 0.9944 0.218 0.544 0.456
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.1184 0.977 0.016 0.984
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 2 0.0000 0.993 0.000 1.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.0000 0.993 0.000 1.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0000 0.993 0.000 1.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0000 0.993 0.000 1.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.0000 0.993 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.967 1.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.0672 0.961 0.992 0.008
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.993 0.000 1.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.967 1.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0000 0.993 0.000 1.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.0000 0.967 1.000 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.0000 0.967 1.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.967 1.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.0000 0.993 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 0.967 1.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0000 0.967 1.000 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 0.967 1.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.0000 0.993 0.000 1.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.0000 0.993 0.000 1.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.967 1.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.7602 0.732 0.780 0.220
#> C6D88493-258C-481E-B3A4-75DA86C25C43 2 0.0000 0.993 0.000 1.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.0000 0.967 1.000 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.0000 0.967 1.000 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 1 0.0000 0.967 1.000 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.967 1.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0000 0.967 1.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.0000 0.993 0.000 1.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.993 0.000 1.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.0000 0.967 1.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 1 0.5946 0.831 0.856 0.144
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.0000 0.967 1.000 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.967 1.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.0000 0.993 0.000 1.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.0000 0.967 1.000 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.967 1.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 1 0.6247 0.817 0.844 0.156
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.993 0.000 1.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.0000 0.967 1.000 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0000 0.993 0.000 1.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.967 1.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.993 0.000 1.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.993 0.000 1.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0000 0.993 0.000 1.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0000 0.967 1.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0000 0.993 0.000 1.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.6531 0.787 0.168 0.832
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.967 1.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.967 1.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.0000 0.993 0.000 1.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.9896 0.266 0.560 0.440
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 1 0.7883 0.708 0.764 0.236
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.993 0.000 1.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.967 1.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 1 0.0000 0.967 1.000 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.967 1.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.0000 0.993 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.967 1.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.967 1.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0000 0.993 0.000 1.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0000 0.967 1.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.967 1.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.0000 0.967 1.000 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.967 1.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.967 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 1 0.0000 0.967 1.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.0000 0.993 0.000 1.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0000 0.993 0.000 1.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.967 1.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.0000 0.993 0.000 1.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0000 0.993 0.000 1.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0000 0.967 1.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.0000 0.993 0.000 1.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0000 0.993 0.000 1.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.993 0.000 1.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.967 1.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0000 0.993 0.000 1.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0000 0.993 0.000 1.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.0000 0.993 0.000 1.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0000 0.967 1.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.993 0.000 1.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.967 1.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.967 1.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 1 0.6148 0.822 0.848 0.152
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.967 1.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.967 1.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0000 0.993 0.000 1.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0000 0.993 0.000 1.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.2778 0.927 0.952 0.048
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.993 0.000 1.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 2 0.0000 0.993 0.000 1.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.993 0.000 1.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.967 1.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.967 1.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.967 1.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.0000 0.993 0.000 1.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0000 0.993 0.000 1.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 2 0.0000 0.993 0.000 1.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.967 1.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0000 0.993 0.000 1.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.967 1.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0000 0.967 1.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.967 1.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.993 0.000 1.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.967 1.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.0000 0.967 1.000 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.0672 0.961 0.992 0.008
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.8813 0.592 0.700 0.300
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.0000 0.993 0.000 1.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0000 0.967 1.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.0000 0.993 0.000 1.000
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.967 1.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 1 0.9129 0.545 0.672 0.328
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.967 1.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 1 0.0000 0.967 1.000 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.2603 0.947 0.044 0.956
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.0000 0.967 1.000 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.967 1.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0000 0.967 1.000 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.0000 0.993 0.000 1.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.0000 0.967 1.000 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.967 1.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0000 0.993 0.000 1.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.993 0.000 1.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 1 0.9977 0.164 0.528 0.472
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.8813 0.545 0.300 0.700
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.967 1.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.967 1.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.0000 0.967 1.000 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.967 1.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 0.967 1.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 1 0.5519 0.848 0.872 0.128
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.0000 0.967 1.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.0000 0.993 0.000 1.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.967 1.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0000 0.993 0.000 1.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.967 1.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.0000 0.993 0.000 1.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.0000 0.993 0.000 1.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.0000 0.993 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.0000 0.967 1.000 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0000 0.993 0.000 1.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.0000 0.993 0.000 1.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.967 1.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.0000 0.993 0.000 1.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.967 1.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0000 0.993 0.000 1.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.967 1.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.0000 0.993 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.0000 0.993 0.000 1.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 2 0.0000 0.993 0.000 1.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.993 0.000 1.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0000 0.993 0.000 1.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.967 1.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.967 1.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.967 1.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.7139 0.766 0.804 0.196
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0000 0.967 1.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 2 0.0000 0.993 0.000 1.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.0000 0.967 1.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.993 0.000 1.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.0000 0.993 0.000 1.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.967 1.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.967 1.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.967 1.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0000 0.967 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.8785 0.000 1.000 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.1529 0.8770 0.000 0.960 0.040
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.1529 0.8770 0.000 0.960 0.040
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.8785 0.000 1.000 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.1529 0.8770 0.000 0.960 0.040
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 3 0.5810 0.4007 0.000 0.336 0.664
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.8785 0.000 1.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 2 0.1529 0.8770 0.000 0.960 0.040
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 3 0.6062 0.2733 0.384 0.000 0.616
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 3 0.4413 0.6538 0.160 0.008 0.832
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.5497 0.7663 0.708 0.000 0.292
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.6664 -0.2287 0.008 0.464 0.528
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.4346 0.8414 0.816 0.000 0.184
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0237 0.7763 0.996 0.000 0.004
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.4702 0.8372 0.788 0.000 0.212
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 3 0.7997 0.6321 0.236 0.120 0.644
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 3 0.7208 0.4672 0.048 0.308 0.644
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 3 0.5560 0.5330 0.000 0.300 0.700
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.1529 0.8770 0.000 0.960 0.040
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0000 0.8785 0.000 1.000 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 3 0.5968 0.3889 0.000 0.364 0.636
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.5926 0.5958 0.000 0.644 0.356
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.7740 1.000 0.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 3 0.4465 0.6437 0.176 0.004 0.820
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.8785 0.000 1.000 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 3 0.5988 0.3257 0.368 0.000 0.632
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 3 0.6819 0.4338 0.028 0.328 0.644
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 3 0.4291 0.6405 0.180 0.000 0.820
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.0747 0.7585 0.984 0.000 0.016
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.4291 0.8414 0.820 0.000 0.180
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.6633 0.4305 0.008 0.548 0.444
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 3 0.4654 0.6173 0.208 0.000 0.792
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.4702 0.8372 0.788 0.000 0.212
#> AA838488-4A13-4998-B261-91590113F37D 1 0.4702 0.8372 0.788 0.000 0.212
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.1529 0.8770 0.000 0.960 0.040
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.2261 0.8644 0.000 0.932 0.068
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.7740 1.000 0.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 3 0.5094 0.6710 0.112 0.056 0.832
#> C6D88493-258C-481E-B3A4-75DA86C25C43 2 0.1529 0.8770 0.000 0.960 0.040
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 3 0.4291 0.6405 0.180 0.000 0.820
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.0747 0.7585 0.984 0.000 0.016
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 3 0.5968 0.5899 0.364 0.000 0.636
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 3 0.5098 0.5677 0.248 0.000 0.752
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 3 0.4654 0.6178 0.208 0.000 0.792
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.1529 0.8770 0.000 0.960 0.040
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.1964 0.8534 0.000 0.944 0.056
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.0000 0.7740 1.000 0.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 3 0.7576 0.6266 0.276 0.076 0.648
#> 89430A30-8758-4E5B-8186-999EA234E39A 3 0.4555 0.6254 0.200 0.000 0.800
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 3 0.5882 0.3844 0.348 0.000 0.652
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.4504 0.7284 0.000 0.804 0.196
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.0000 0.7740 1.000 0.000 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.5591 0.7491 0.696 0.000 0.304
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.7683 0.6206 0.280 0.080 0.640
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.8785 0.000 1.000 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.1031 0.7849 0.976 0.000 0.024
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.6140 0.3339 0.000 0.596 0.404
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.7740 1.000 0.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.8785 0.000 1.000 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.8785 0.000 1.000 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.6309 0.0341 0.000 0.504 0.496
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.3752 0.8354 0.856 0.000 0.144
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.1289 0.8727 0.000 0.968 0.032
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 3 0.4712 0.6724 0.044 0.108 0.848
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.5327 0.7880 0.728 0.000 0.272
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.2066 0.8037 0.940 0.000 0.060
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.1529 0.8770 0.000 0.960 0.040
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 3 0.4807 0.6738 0.092 0.060 0.848
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 3 0.7851 0.6301 0.256 0.100 0.644
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.8785 0.000 1.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.5497 0.7663 0.708 0.000 0.292
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 3 0.5948 0.5812 0.360 0.000 0.640
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.5431 0.7759 0.716 0.000 0.284
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.6252 0.4428 0.000 0.556 0.444
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 3 0.5859 0.3922 0.344 0.000 0.656
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.7740 1.000 0.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.4346 0.7413 0.000 0.816 0.184
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 3 0.4555 0.6254 0.200 0.000 0.800
#> 3E070741-BBA0-4806-8D74-08595E249252 3 0.5835 0.4017 0.340 0.000 0.660
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 3 0.6180 0.2556 0.416 0.000 0.584
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.7740 1.000 0.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.5497 0.7663 0.708 0.000 0.292
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.6373 0.5030 0.268 0.028 0.704
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.1529 0.8770 0.000 0.960 0.040
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0892 0.8778 0.000 0.980 0.020
#> 4CA559EF-D8B9-400B-972C-693257124C3D 3 0.5859 0.3922 0.344 0.000 0.656
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.6215 0.2086 0.000 0.572 0.428
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0892 0.8729 0.000 0.980 0.020
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.4504 0.8283 0.804 0.000 0.196
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 3 0.8153 0.5284 0.144 0.216 0.640
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 3 0.6244 0.1825 0.000 0.440 0.560
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0892 0.8729 0.000 0.980 0.020
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.4702 0.8372 0.788 0.000 0.212
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0000 0.8785 0.000 1.000 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.3551 0.7980 0.000 0.868 0.132
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.1529 0.8770 0.000 0.960 0.040
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.5465 0.7712 0.712 0.000 0.288
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.8785 0.000 1.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.4346 0.8414 0.816 0.000 0.184
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.6295 0.3352 0.528 0.000 0.472
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.6283 0.5549 0.176 0.064 0.760
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.4702 0.8372 0.788 0.000 0.212
#> D227D812-6DF9-4954-9A50-6EBF6486116C 3 0.6126 0.2204 0.400 0.000 0.600
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.4887 0.6866 0.000 0.772 0.228
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0000 0.8785 0.000 1.000 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 3 0.4810 0.6631 0.140 0.028 0.832
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0892 0.8778 0.000 0.980 0.020
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 3 0.4452 0.6388 0.000 0.192 0.808
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.8785 0.000 1.000 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.4346 0.8414 0.816 0.000 0.184
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.4346 0.8414 0.816 0.000 0.184
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.4178 0.8401 0.828 0.000 0.172
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.2356 0.8622 0.000 0.928 0.072
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.6309 0.0335 0.000 0.504 0.496
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 3 0.5560 0.5330 0.000 0.300 0.700
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.6244 0.4431 0.560 0.000 0.440
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0000 0.8785 0.000 1.000 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.4702 0.8372 0.788 0.000 0.212
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 3 0.5905 0.3717 0.352 0.000 0.648
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.7740 1.000 0.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.8785 0.000 1.000 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.5529 0.7615 0.704 0.000 0.296
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.0000 0.7740 1.000 0.000 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 3 0.4293 0.6511 0.164 0.004 0.832
#> C7698440-CD13-438F-A60F-063D94C9ECAD 3 0.4411 0.6622 0.140 0.016 0.844
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.1529 0.8770 0.000 0.960 0.040
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 3 0.4346 0.6374 0.184 0.000 0.816
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 3 0.6601 0.4519 0.028 0.296 0.676
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.4702 0.8372 0.788 0.000 0.212
#> 08C4C14A-94A8-4063-BBC3-916579960078 3 0.8063 0.6342 0.224 0.132 0.644
#> B11753A0-829F-4913-B894-F07A53FF1C92 3 0.5926 0.3608 0.356 0.000 0.644
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 3 0.4605 0.6470 0.204 0.000 0.796
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 3 0.6490 0.5749 0.036 0.256 0.708
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 3 0.4504 0.6290 0.196 0.000 0.804
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.6140 0.5405 0.596 0.000 0.404
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 3 0.5678 0.4414 0.316 0.000 0.684
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.1529 0.8770 0.000 0.960 0.040
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 3 0.4235 0.6431 0.176 0.000 0.824
#> E84904D7-5996-46BC-8B14-5C14249F0667 3 0.6026 0.3005 0.376 0.000 0.624
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.6280 0.1633 0.000 0.540 0.460
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0892 0.8729 0.000 0.980 0.020
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 3 0.6091 0.6773 0.124 0.092 0.784
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 3 0.4790 0.6739 0.056 0.096 0.848
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.4702 0.8372 0.788 0.000 0.212
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.4346 0.8414 0.816 0.000 0.184
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 3 0.6045 0.2969 0.380 0.000 0.620
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.3482 0.8295 0.872 0.000 0.128
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.4504 0.8404 0.804 0.000 0.196
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 3 0.7246 0.6268 0.276 0.060 0.664
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.0747 0.7585 0.984 0.000 0.016
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 3 0.5835 0.3999 0.000 0.340 0.660
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 3 0.5560 0.4718 0.300 0.000 0.700
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.1289 0.8782 0.000 0.968 0.032
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.6274 0.3917 0.544 0.000 0.456
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 3 0.5810 0.4007 0.000 0.336 0.664
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 3 0.6305 -0.0742 0.000 0.484 0.516
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.6252 0.4428 0.000 0.556 0.444
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.1289 0.7443 0.968 0.000 0.032
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.1289 0.8775 0.000 0.968 0.032
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.6095 0.3152 0.000 0.608 0.392
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.2066 0.8037 0.940 0.000 0.060
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 3 0.6008 0.3125 0.000 0.372 0.628
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.4702 0.8372 0.788 0.000 0.212
#> EB818546-2380-480F-AA7A-529857F5912C 3 0.5968 0.3889 0.000 0.364 0.636
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.4702 0.8372 0.788 0.000 0.212
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.6880 0.5175 0.156 0.108 0.736
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 3 0.5810 0.4007 0.000 0.336 0.664
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 3 0.5926 0.3593 0.000 0.356 0.644
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.8785 0.000 1.000 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.1163 0.8787 0.000 0.972 0.028
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.4452 0.8408 0.808 0.000 0.192
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.4346 0.8414 0.816 0.000 0.184
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.5591 0.7491 0.696 0.000 0.304
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 3 0.5036 0.6694 0.120 0.048 0.832
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.5497 0.7663 0.708 0.000 0.292
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 2 0.1529 0.8770 0.000 0.960 0.040
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.0000 0.7740 1.000 0.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.2537 0.8357 0.000 0.920 0.080
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.1529 0.8770 0.000 0.960 0.040
#> 67E92530-3B19-424C-B219-958A88909046 1 0.4702 0.8372 0.788 0.000 0.212
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.7740 1.000 0.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 3 0.4291 0.6405 0.180 0.000 0.820
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.4291 0.8414 0.820 0.000 0.180
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0376 0.8924 0.000 0.992 0.004 0.004
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.3205 0.8797 0.000 0.872 0.104 0.024
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.3205 0.8797 0.000 0.872 0.104 0.024
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0376 0.8924 0.000 0.992 0.004 0.004
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.3205 0.8797 0.000 0.872 0.104 0.024
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 4 0.4520 0.7741 0.080 0.056 0.032 0.832
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0376 0.8924 0.000 0.992 0.004 0.004
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 2 0.4130 0.8518 0.000 0.828 0.108 0.064
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.3688 0.7008 0.792 0.000 0.000 0.208
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.2973 0.7376 0.144 0.000 0.000 0.856
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0921 0.6802 0.972 0.000 0.000 0.028
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 4 0.5663 0.5872 0.000 0.060 0.264 0.676
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.3123 0.4419 0.844 0.000 0.156 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 3 0.4713 0.9856 0.360 0.000 0.640 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.1302 0.6264 0.956 0.000 0.044 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 4 0.3578 0.7877 0.052 0.032 0.036 0.880
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 4 0.3583 0.7936 0.048 0.060 0.016 0.876
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.7780 0.4138 0.544 0.048 0.108 0.300
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.3205 0.8797 0.000 0.872 0.104 0.024
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0376 0.8924 0.000 0.992 0.004 0.004
#> B56D29F2-ADF4-43B9-9013-071466244B4A 4 0.3312 0.7933 0.052 0.072 0.000 0.876
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 4 0.5663 0.5872 0.000 0.060 0.264 0.676
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 3 0.4713 0.9856 0.360 0.000 0.640 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.6302 0.4336 0.564 0.000 0.068 0.368
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0376 0.8924 0.000 0.992 0.004 0.004
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.3688 0.7008 0.792 0.000 0.000 0.208
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 4 0.3485 0.7939 0.048 0.068 0.008 0.876
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.6037 0.5440 0.628 0.000 0.068 0.304
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.4679 0.9788 0.352 0.000 0.648 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.4008 0.1863 0.756 0.000 0.244 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 4 0.5608 0.5871 0.000 0.060 0.256 0.684
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.4697 0.5343 0.644 0.000 0.000 0.356
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.1389 0.6215 0.952 0.000 0.048 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.1302 0.6264 0.956 0.000 0.044 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.3266 0.8780 0.000 0.868 0.108 0.024
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.5929 0.6818 0.000 0.688 0.108 0.204
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 3 0.4713 0.9856 0.360 0.000 0.640 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.6580 0.4222 0.556 0.004 0.076 0.364
#> C6D88493-258C-481E-B3A4-75DA86C25C43 2 0.3266 0.8780 0.000 0.868 0.108 0.024
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.5957 0.4684 0.588 0.000 0.048 0.364
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.4679 0.9788 0.352 0.000 0.648 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 4 0.4974 0.6284 0.224 0.000 0.040 0.736
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.4804 0.6278 0.708 0.000 0.016 0.276
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.5173 0.5653 0.660 0.000 0.020 0.320
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.3205 0.8797 0.000 0.872 0.104 0.024
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.3266 0.7446 0.000 0.832 0.000 0.168
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 3 0.4713 0.9856 0.360 0.000 0.640 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 4 0.3550 0.7837 0.056 0.024 0.040 0.880
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.5827 0.4137 0.568 0.000 0.036 0.396
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.3726 0.6996 0.788 0.000 0.000 0.212
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 4 0.5472 0.5528 0.000 0.280 0.044 0.676
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 3 0.4713 0.9856 0.360 0.000 0.640 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.1211 0.6850 0.960 0.000 0.000 0.040
#> EFA708D5-586A-4184-B614-48AEFC5E8631 4 0.3930 0.7720 0.044 0.016 0.084 0.856
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0376 0.8924 0.000 0.992 0.004 0.004
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.4500 -0.1542 0.684 0.000 0.316 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 4 0.4713 0.7125 0.000 0.172 0.052 0.776
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 3 0.4713 0.9856 0.360 0.000 0.640 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0376 0.8924 0.000 0.992 0.004 0.004
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0376 0.8924 0.000 0.992 0.004 0.004
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 4 0.3443 0.7574 0.000 0.136 0.016 0.848
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.2814 0.4944 0.868 0.000 0.132 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.5664 0.6513 0.000 0.696 0.076 0.228
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 4 0.5794 0.3795 0.320 0.004 0.040 0.636
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.1004 0.6758 0.972 0.000 0.004 0.024
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 3 0.4776 0.9688 0.376 0.000 0.624 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.3205 0.8797 0.000 0.872 0.104 0.024
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.4557 0.6824 0.180 0.004 0.032 0.784
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 4 0.3571 0.7861 0.052 0.028 0.040 0.880
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0376 0.8924 0.000 0.992 0.004 0.004
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0921 0.6802 0.972 0.000 0.000 0.028
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 4 0.5536 0.6513 0.180 0.000 0.096 0.724
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0817 0.6776 0.976 0.000 0.000 0.024
#> 3D3E5993-9E56-4A95-928E-012B62959711 4 0.5663 0.5872 0.000 0.060 0.264 0.676
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.3907 0.6890 0.768 0.000 0.000 0.232
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 3 0.4713 0.9856 0.360 0.000 0.640 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 4 0.5038 0.5399 0.000 0.296 0.020 0.684
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.5645 0.4846 0.604 0.000 0.032 0.364
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.3764 0.6982 0.784 0.000 0.000 0.216
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.4284 0.6973 0.780 0.000 0.020 0.200
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 3 0.4713 0.9856 0.360 0.000 0.640 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0921 0.6802 0.972 0.000 0.000 0.028
#> F521826B-B2EC-4000-9CE0-935F331AF562 4 0.4250 0.6078 0.000 0.000 0.276 0.724
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.3266 0.8780 0.000 0.868 0.108 0.024
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0592 0.8926 0.000 0.984 0.016 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.3764 0.6982 0.784 0.000 0.000 0.216
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.7627 0.2036 0.028 0.492 0.108 0.372
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.1743 0.8640 0.000 0.940 0.004 0.056
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.2412 0.5893 0.908 0.000 0.084 0.008
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 4 0.3768 0.7922 0.036 0.048 0.044 0.872
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 4 0.3272 0.7692 0.004 0.128 0.008 0.860
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.1576 0.8691 0.000 0.948 0.004 0.048
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.1211 0.6299 0.960 0.000 0.040 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0376 0.8924 0.000 0.992 0.004 0.004
#> F7B2E263-F0AE-440E-96C5-139233079A06 4 0.5865 0.2683 0.000 0.412 0.036 0.552
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.3205 0.8797 0.000 0.872 0.104 0.024
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0921 0.6802 0.972 0.000 0.000 0.028
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0376 0.8924 0.000 0.992 0.004 0.004
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.3074 0.4497 0.848 0.000 0.152 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.2868 0.7054 0.864 0.000 0.000 0.136
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 4 0.4695 0.6203 0.004 0.012 0.252 0.732
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0469 0.6518 0.988 0.000 0.012 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.3486 0.7032 0.812 0.000 0.000 0.188
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 4 0.5519 0.5758 0.000 0.264 0.052 0.684
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0376 0.8924 0.000 0.992 0.004 0.004
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.5931 -0.1173 0.460 0.000 0.036 0.504
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0592 0.8926 0.000 0.984 0.016 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.7135 0.4113 0.548 0.012 0.108 0.332
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0376 0.8924 0.000 0.992 0.004 0.004
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.3356 0.3999 0.824 0.000 0.176 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.3074 0.4497 0.848 0.000 0.152 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.4661 -0.2392 0.652 0.000 0.348 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.5998 0.6666 0.000 0.680 0.108 0.212
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 4 0.3443 0.7574 0.000 0.136 0.016 0.848
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.7780 0.4138 0.544 0.048 0.108 0.300
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.2760 0.7051 0.872 0.000 0.000 0.128
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0524 0.8928 0.000 0.988 0.008 0.004
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.1211 0.6299 0.960 0.000 0.040 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.3688 0.7008 0.792 0.000 0.000 0.208
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 3 0.4746 0.9783 0.368 0.000 0.632 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0188 0.8926 0.000 0.996 0.000 0.004
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.1356 0.6790 0.960 0.000 0.008 0.032
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.4713 0.9856 0.360 0.000 0.640 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.4501 0.6436 0.212 0.000 0.024 0.764
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.5950 0.0395 0.416 0.000 0.040 0.544
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.3996 0.8609 0.000 0.836 0.104 0.060
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.6203 0.4877 0.592 0.000 0.068 0.340
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 4 0.3338 0.7927 0.056 0.052 0.008 0.884
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.1389 0.6215 0.952 0.000 0.048 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 4 0.3578 0.7889 0.052 0.036 0.032 0.880
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.3688 0.7008 0.792 0.000 0.000 0.208
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 4 0.3925 0.7082 0.176 0.000 0.016 0.808
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 4 0.3354 0.7825 0.084 0.044 0.000 0.872
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.5298 0.4853 0.612 0.000 0.016 0.372
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.2216 0.6991 0.908 0.000 0.000 0.092
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.5431 0.6511 0.712 0.000 0.064 0.224
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.3205 0.8797 0.000 0.872 0.104 0.024
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.3311 0.7177 0.172 0.000 0.000 0.828
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.3688 0.7008 0.792 0.000 0.000 0.208
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 4 0.3672 0.7352 0.000 0.164 0.012 0.824
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.1661 0.8662 0.000 0.944 0.004 0.052
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 4 0.3615 0.7838 0.076 0.036 0.016 0.872
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.3890 0.7391 0.132 0.004 0.028 0.836
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.1302 0.6264 0.956 0.000 0.044 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.3074 0.4497 0.848 0.000 0.152 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.2760 0.7052 0.872 0.000 0.000 0.128
#> 8812DD6D-D245-4752-878F-496B164A21A3 3 0.4898 0.9034 0.416 0.000 0.584 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.1474 0.6158 0.948 0.000 0.052 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 4 0.3550 0.7837 0.056 0.024 0.040 0.880
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.4679 0.9788 0.352 0.000 0.648 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 4 0.4124 0.7893 0.048 0.072 0.028 0.852
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.5816 0.6283 0.688 0.000 0.088 0.224
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.1635 0.8914 0.000 0.948 0.044 0.008
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.2760 0.7051 0.872 0.000 0.000 0.128
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 4 0.6514 0.7049 0.136 0.064 0.088 0.712
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 4 0.4731 0.7247 0.000 0.160 0.060 0.780
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 4 0.5663 0.5872 0.000 0.060 0.264 0.676
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.5492 0.9329 0.328 0.000 0.640 0.032
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.1820 0.8913 0.000 0.944 0.036 0.020
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.6921 0.4434 0.008 0.576 0.108 0.308
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 3 0.4790 0.9640 0.380 0.000 0.620 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.4397 0.7759 0.028 0.088 0.048 0.836
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.1302 0.6264 0.956 0.000 0.044 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 4 0.3383 0.7929 0.052 0.076 0.000 0.872
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.1022 0.6374 0.968 0.000 0.032 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 4 0.4706 0.6194 0.000 0.020 0.248 0.732
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 4 0.4406 0.7794 0.064 0.060 0.036 0.840
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.7009 0.6598 0.064 0.160 0.104 0.672
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0376 0.8924 0.000 0.992 0.004 0.004
#> CC008807-7264-4593-966F-104992B35873 2 0.1545 0.8918 0.000 0.952 0.040 0.008
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.2647 0.5088 0.880 0.000 0.120 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.4304 0.0550 0.716 0.000 0.284 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.1557 0.6902 0.944 0.000 0.000 0.056
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.6372 0.4190 0.560 0.004 0.060 0.376
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0921 0.6802 0.972 0.000 0.000 0.028
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 2 0.3266 0.8780 0.000 0.868 0.108 0.024
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.4713 0.9856 0.360 0.000 0.640 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.4781 0.4108 0.000 0.660 0.004 0.336
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.3647 0.8693 0.000 0.852 0.108 0.040
#> 67E92530-3B19-424C-B219-958A88909046 1 0.1389 0.6215 0.952 0.000 0.048 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 3 0.4713 0.9856 0.360 0.000 0.640 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.6292 0.4918 0.592 0.000 0.076 0.332
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.3074 0.4498 0.848 0.000 0.152 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0324 0.82628 0.000 0.992 0.004 0.000 0.004
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.5150 0.77775 0.072 0.712 0.196 0.000 0.020
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.5150 0.77775 0.072 0.712 0.196 0.000 0.020
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0324 0.82628 0.000 0.992 0.004 0.000 0.004
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.5150 0.77775 0.072 0.712 0.196 0.000 0.020
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 5 0.1524 0.75447 0.000 0.016 0.016 0.016 0.952
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0162 0.82720 0.000 0.996 0.000 0.000 0.004
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 2 0.7082 0.59277 0.072 0.556 0.204 0.000 0.168
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.1478 0.84863 0.000 0.000 0.000 0.936 0.064
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 5 0.1484 0.74540 0.000 0.000 0.008 0.048 0.944
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.0162 0.86225 0.000 0.000 0.004 0.996 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.3929 0.95835 0.004 0.036 0.788 0.000 0.172
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 4 0.2338 0.78894 0.112 0.000 0.004 0.884 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.2068 0.96093 0.904 0.000 0.004 0.092 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 4 0.0671 0.85819 0.016 0.000 0.004 0.980 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 5 0.2130 0.75159 0.008 0.012 0.040 0.012 0.928
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.2109 0.75161 0.004 0.016 0.040 0.012 0.928
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 5 0.8171 0.09684 0.072 0.016 0.204 0.348 0.360
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.5150 0.77775 0.072 0.712 0.196 0.000 0.020
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0324 0.82628 0.000 0.992 0.004 0.000 0.004
#> B56D29F2-ADF4-43B9-9013-071466244B4A 5 0.2053 0.75321 0.000 0.016 0.040 0.016 0.928
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.3812 0.95293 0.004 0.036 0.800 0.000 0.160
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.1908 0.96294 0.908 0.000 0.000 0.092 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.5882 0.29063 0.028 0.004 0.040 0.552 0.376
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0324 0.82628 0.000 0.992 0.004 0.000 0.004
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.1544 0.84679 0.000 0.000 0.000 0.932 0.068
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.2047 0.75188 0.000 0.020 0.040 0.012 0.928
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.5720 0.41902 0.028 0.004 0.040 0.604 0.324
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.2526 0.93952 0.896 0.000 0.012 0.080 0.012
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 4 0.3048 0.71497 0.176 0.000 0.004 0.820 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.4159 0.95826 0.012 0.036 0.780 0.000 0.172
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.4437 0.15150 0.000 0.000 0.004 0.532 0.464
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.0671 0.85819 0.016 0.000 0.004 0.980 0.000
#> AA838488-4A13-4998-B261-91590113F37D 4 0.0671 0.85819 0.016 0.000 0.004 0.980 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.5381 0.76725 0.072 0.696 0.204 0.000 0.028
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 5 0.7747 -0.06018 0.072 0.332 0.204 0.000 0.392
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.1908 0.96294 0.908 0.000 0.000 0.092 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 5 0.6472 0.03965 0.032 0.004 0.072 0.436 0.456
#> C6D88493-258C-481E-B3A4-75DA86C25C43 2 0.5534 0.76167 0.072 0.688 0.204 0.000 0.036
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.4276 0.39344 0.000 0.000 0.004 0.616 0.380
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.2526 0.93952 0.896 0.000 0.012 0.080 0.012
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 5 0.2642 0.69842 0.008 0.000 0.008 0.104 0.880
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 4 0.2127 0.81981 0.000 0.000 0.000 0.892 0.108
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 4 0.3876 0.53713 0.000 0.000 0.000 0.684 0.316
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.5150 0.77775 0.072 0.712 0.196 0.000 0.020
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.3756 0.51896 0.008 0.744 0.000 0.000 0.248
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.1908 0.96294 0.908 0.000 0.000 0.092 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 5 0.2130 0.75159 0.008 0.012 0.040 0.012 0.928
#> 89430A30-8758-4E5B-8186-999EA234E39A 5 0.4288 0.32249 0.000 0.000 0.004 0.384 0.612
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 4 0.1544 0.84679 0.000 0.000 0.000 0.932 0.068
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 5 0.3003 0.72556 0.016 0.040 0.064 0.000 0.880
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.1908 0.96294 0.908 0.000 0.000 0.092 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.0290 0.86289 0.000 0.000 0.000 0.992 0.008
#> EFA708D5-586A-4184-B614-48AEFC5E8631 5 0.2701 0.72638 0.048 0.000 0.044 0.012 0.896
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0162 0.82720 0.000 0.996 0.000 0.000 0.004
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 4 0.3480 0.57595 0.248 0.000 0.000 0.752 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 5 0.2633 0.73939 0.012 0.024 0.068 0.000 0.896
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.1908 0.96294 0.908 0.000 0.000 0.092 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0324 0.82628 0.000 0.992 0.004 0.000 0.004
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0324 0.82628 0.000 0.992 0.004 0.000 0.004
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 5 0.1967 0.74515 0.012 0.020 0.036 0.000 0.932
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.1544 0.83038 0.068 0.000 0.000 0.932 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 5 0.5330 0.53033 0.020 0.168 0.104 0.000 0.708
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 5 0.2505 0.71590 0.000 0.000 0.020 0.092 0.888
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.0000 0.86271 0.000 0.000 0.000 1.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.2068 0.96093 0.904 0.000 0.004 0.092 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.5150 0.77775 0.072 0.712 0.196 0.000 0.020
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 5 0.1626 0.74779 0.000 0.000 0.016 0.044 0.940
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 5 0.2130 0.75159 0.008 0.012 0.040 0.012 0.928
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0324 0.82628 0.000 0.992 0.004 0.000 0.004
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.0000 0.86271 0.000 0.000 0.000 1.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 5 0.3282 0.68191 0.044 0.000 0.012 0.084 0.860
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.0162 0.86225 0.000 0.000 0.004 0.996 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.3812 0.95293 0.004 0.036 0.800 0.000 0.160
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.1671 0.84215 0.000 0.000 0.000 0.924 0.076
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.1908 0.96294 0.908 0.000 0.000 0.092 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 5 0.3226 0.70469 0.016 0.060 0.056 0.000 0.868
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.4126 0.40059 0.000 0.000 0.000 0.620 0.380
#> 3E070741-BBA0-4806-8D74-08595E249252 4 0.1608 0.84521 0.000 0.000 0.000 0.928 0.072
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.2629 0.79717 0.004 0.000 0.000 0.860 0.136
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.1908 0.96294 0.908 0.000 0.000 0.092 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.0000 0.86271 0.000 0.000 0.000 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.4065 0.93559 0.048 0.000 0.772 0.000 0.180
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.5381 0.76725 0.072 0.696 0.204 0.000 0.028
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.1041 0.82783 0.000 0.964 0.032 0.000 0.004
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.1608 0.84521 0.000 0.000 0.000 0.928 0.072
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 5 0.7713 0.00924 0.072 0.308 0.204 0.000 0.416
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.3074 0.60547 0.000 0.804 0.000 0.000 0.196
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.1197 0.84335 0.048 0.000 0.000 0.952 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 5 0.2186 0.74219 0.016 0.004 0.044 0.012 0.924
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 5 0.1885 0.74567 0.012 0.020 0.032 0.000 0.936
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.1952 0.75853 0.000 0.912 0.004 0.000 0.084
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.0671 0.85819 0.016 0.000 0.004 0.980 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0162 0.82720 0.000 0.996 0.000 0.000 0.004
#> F7B2E263-F0AE-440E-96C5-139233079A06 5 0.2756 0.72449 0.012 0.060 0.036 0.000 0.892
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.5150 0.77775 0.072 0.712 0.196 0.000 0.020
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.0000 0.86271 0.000 0.000 0.000 1.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0324 0.82628 0.000 0.992 0.004 0.000 0.004
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 4 0.2286 0.79277 0.108 0.000 0.004 0.888 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.0510 0.86213 0.000 0.000 0.000 0.984 0.016
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.3873 0.93930 0.012 0.008 0.768 0.000 0.212
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 4 0.0671 0.85819 0.016 0.000 0.004 0.980 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 4 0.1121 0.85471 0.000 0.000 0.000 0.956 0.044
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 5 0.2633 0.73939 0.012 0.024 0.068 0.000 0.896
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0324 0.82628 0.000 0.992 0.004 0.000 0.004
#> 8B23AB23-8931-42CA-972D-1528D44BF218 5 0.3117 0.69761 0.000 0.004 0.036 0.100 0.860
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0771 0.82837 0.000 0.976 0.020 0.000 0.004
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.7748 -0.00129 0.060 0.004 0.200 0.392 0.344
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0162 0.82720 0.000 0.996 0.000 0.000 0.004
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 4 0.2674 0.75980 0.140 0.000 0.004 0.856 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 4 0.2124 0.80393 0.096 0.000 0.004 0.900 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.3814 0.55882 0.276 0.000 0.004 0.720 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 5 0.7709 -0.06365 0.068 0.336 0.204 0.000 0.392
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 5 0.1967 0.74515 0.012 0.020 0.036 0.000 0.932
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 5 0.8171 0.09684 0.072 0.016 0.204 0.348 0.360
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.0510 0.86213 0.000 0.000 0.000 0.984 0.016
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0740 0.82830 0.008 0.980 0.004 0.000 0.008
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 4 0.0671 0.85819 0.016 0.000 0.004 0.980 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.1478 0.84863 0.000 0.000 0.000 0.936 0.064
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.2516 0.91462 0.860 0.000 0.000 0.140 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0451 0.82792 0.008 0.988 0.000 0.000 0.004
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 4 0.0566 0.86286 0.004 0.000 0.000 0.984 0.012
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.1908 0.96294 0.908 0.000 0.000 0.092 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 5 0.1830 0.73645 0.000 0.000 0.008 0.068 0.924
#> C7698440-CD13-438F-A60F-063D94C9ECAD 5 0.4491 0.43537 0.000 0.000 0.020 0.328 0.652
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.5675 0.75444 0.072 0.680 0.204 0.000 0.044
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 4 0.5068 0.47529 0.032 0.000 0.012 0.636 0.320
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 5 0.0960 0.75097 0.000 0.004 0.008 0.016 0.972
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.0671 0.85819 0.016 0.000 0.004 0.980 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 5 0.2130 0.75159 0.008 0.012 0.040 0.012 0.928
#> B11753A0-829F-4913-B894-F07A53FF1C92 4 0.1544 0.84679 0.000 0.000 0.000 0.932 0.068
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 5 0.1628 0.74207 0.000 0.000 0.008 0.056 0.936
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 5 0.2047 0.75284 0.000 0.012 0.040 0.020 0.928
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 5 0.3990 0.48122 0.000 0.000 0.004 0.308 0.688
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.0566 0.86287 0.000 0.000 0.004 0.984 0.012
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.2548 0.82739 0.028 0.000 0.004 0.896 0.072
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.5150 0.77775 0.072 0.712 0.196 0.000 0.020
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 5 0.1484 0.74540 0.000 0.000 0.008 0.048 0.944
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.1478 0.84863 0.000 0.000 0.000 0.936 0.064
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 5 0.1885 0.74567 0.012 0.020 0.032 0.000 0.936
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0451 0.82391 0.000 0.988 0.004 0.000 0.008
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 5 0.2109 0.75246 0.004 0.012 0.040 0.016 0.928
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 5 0.1469 0.75081 0.000 0.000 0.016 0.036 0.948
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 4 0.0671 0.85819 0.016 0.000 0.004 0.980 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 4 0.2439 0.78084 0.120 0.000 0.004 0.876 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 4 0.0566 0.86287 0.000 0.000 0.004 0.984 0.012
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.4066 0.60877 0.672 0.000 0.004 0.324 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 4 0.0671 0.85819 0.016 0.000 0.004 0.980 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 5 0.2130 0.75159 0.008 0.012 0.040 0.012 0.928
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.2526 0.93952 0.896 0.000 0.012 0.080 0.012
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 5 0.2198 0.75630 0.000 0.020 0.048 0.012 0.920
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 4 0.3080 0.80959 0.060 0.000 0.008 0.872 0.060
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.3801 0.80763 0.036 0.820 0.128 0.000 0.016
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.0510 0.86213 0.000 0.000 0.000 0.984 0.016
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 5 0.4290 0.63567 0.040 0.016 0.140 0.008 0.796
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.2476 0.74459 0.012 0.020 0.064 0.000 0.904
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.3812 0.95293 0.004 0.036 0.800 0.000 0.160
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.3265 0.91434 0.848 0.000 0.020 0.120 0.012
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.2732 0.81848 0.020 0.884 0.088 0.000 0.008
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 5 0.7763 -0.16765 0.072 0.360 0.204 0.000 0.364
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.2124 0.95772 0.900 0.000 0.004 0.096 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 5 0.2139 0.74482 0.012 0.012 0.056 0.000 0.920
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.0671 0.85819 0.016 0.000 0.004 0.980 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 5 0.2047 0.75188 0.000 0.020 0.040 0.012 0.928
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 4 0.0671 0.85819 0.016 0.000 0.004 0.980 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.3873 0.93930 0.012 0.008 0.768 0.000 0.212
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 5 0.1623 0.75408 0.000 0.016 0.020 0.016 0.948
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 5 0.4933 0.57059 0.052 0.020 0.188 0.004 0.736
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0324 0.82628 0.000 0.992 0.004 0.000 0.004
#> CC008807-7264-4593-966F-104992B35873 2 0.3609 0.81285 0.036 0.836 0.112 0.000 0.016
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 4 0.0865 0.85504 0.024 0.000 0.004 0.972 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 4 0.3521 0.63787 0.232 0.000 0.004 0.764 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.0510 0.86213 0.000 0.000 0.000 0.984 0.016
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 5 0.5813 0.14267 0.020 0.004 0.040 0.424 0.512
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.0162 0.86225 0.000 0.000 0.004 0.996 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 2 0.5675 0.75484 0.072 0.680 0.204 0.000 0.044
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.1908 0.96294 0.908 0.000 0.000 0.092 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.4156 0.47240 0.008 0.700 0.004 0.000 0.288
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.6102 0.72493 0.072 0.652 0.204 0.000 0.072
#> 67E92530-3B19-424C-B219-958A88909046 4 0.0671 0.85819 0.016 0.000 0.004 0.980 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.1908 0.96294 0.908 0.000 0.000 0.092 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.5932 0.40080 0.036 0.004 0.044 0.592 0.324
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.1357 0.84158 0.048 0.000 0.004 0.948 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 5 0.3765 0.900 0.000 0.000 0.000 0.000 0.596 0.404
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 6 0.1007 0.647 0.000 0.000 0.000 0.000 0.044 0.956
#> B626F298-622E-4C4F-8217-71D1234A6670 6 0.1007 0.647 0.000 0.000 0.000 0.000 0.044 0.956
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.3765 0.900 0.000 0.000 0.000 0.000 0.596 0.404
#> EB246839-8CB3-4B57-985E-DCEE23692361 6 0.0937 0.650 0.000 0.000 0.000 0.000 0.040 0.960
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.1667 0.802 0.000 0.940 0.008 0.008 0.032 0.012
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.4250 0.885 0.004 0.012 0.004 0.000 0.620 0.360
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 6 0.3194 0.644 0.000 0.032 0.008 0.000 0.132 0.828
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.3562 0.773 0.000 0.012 0.008 0.756 0.224 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.2014 0.795 0.000 0.920 0.012 0.008 0.052 0.008
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.0937 0.837 0.000 0.000 0.000 0.960 0.040 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.2222 0.970 0.012 0.040 0.912 0.000 0.032 0.004
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 4 0.1500 0.802 0.052 0.000 0.012 0.936 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.1686 0.869 0.924 0.000 0.012 0.064 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 4 0.0508 0.829 0.004 0.000 0.012 0.984 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0806 0.798 0.000 0.972 0.020 0.000 0.008 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.1232 0.795 0.004 0.956 0.016 0.000 0.024 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 6 0.5726 0.418 0.000 0.028 0.004 0.116 0.252 0.600
#> 851B9B77-547A-43CC-B939-428E0A26C67C 6 0.1007 0.647 0.000 0.000 0.000 0.000 0.044 0.956
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 5 0.3727 0.899 0.000 0.000 0.000 0.000 0.612 0.388
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0665 0.801 0.000 0.980 0.008 0.000 0.004 0.008
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.2364 0.969 0.012 0.036 0.908 0.000 0.032 0.012
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0713 0.892 0.972 0.000 0.000 0.028 0.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.7609 0.208 0.000 0.236 0.012 0.380 0.252 0.120
#> 482285EC-BA43-441D-9986-7937B61A81D1 5 0.3765 0.900 0.000 0.000 0.000 0.000 0.596 0.404
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.3692 0.760 0.000 0.012 0.008 0.736 0.244 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0622 0.798 0.000 0.980 0.012 0.000 0.008 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.6742 0.535 0.000 0.112 0.008 0.520 0.256 0.104
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#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.0858 0.892 0.968 0.000 0.004 0.028 0.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 5 0.5621 0.591 0.000 0.220 0.012 0.000 0.588 0.180
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 6 0.1644 0.670 0.000 0.052 0.012 0.000 0.004 0.932
#> 67E92530-3B19-424C-B219-958A88909046 4 0.0653 0.829 0.004 0.000 0.012 0.980 0.004 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0713 0.892 0.972 0.000 0.000 0.028 0.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.7150 0.442 0.000 0.092 0.012 0.468 0.252 0.176
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.2214 0.771 0.092 0.000 0.012 0.892 0.004 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 17604 rows and 183 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 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 0.966 0.986 0.5031 0.497 0.497
#> 3 3 0.815 0.813 0.921 0.2564 0.855 0.718
#> 4 4 0.653 0.690 0.816 0.1382 0.789 0.509
#> 5 5 0.665 0.633 0.726 0.0605 0.896 0.646
#> 6 6 0.801 0.757 0.877 0.0513 0.936 0.730
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.979 0.000 1.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.0000 0.979 0.000 1.000
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.0000 0.979 0.000 1.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.979 0.000 1.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.0000 0.979 0.000 1.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0000 0.979 0.000 1.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.979 0.000 1.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 2 0.0000 0.979 0.000 1.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.993 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.6247 0.809 0.844 0.156
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.993 1.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.0000 0.979 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.993 1.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.993 1.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.993 1.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0000 0.979 0.000 1.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.0000 0.979 0.000 1.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 2 0.0000 0.979 0.000 1.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.0000 0.979 0.000 1.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0000 0.979 0.000 1.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0000 0.979 0.000 1.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.0000 0.979 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.993 1.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.2423 0.952 0.960 0.040
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.979 0.000 1.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.993 1.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0000 0.979 0.000 1.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.0000 0.993 1.000 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.0000 0.993 1.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.993 1.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.0000 0.979 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 0.993 1.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0000 0.993 1.000 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 0.993 1.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.0000 0.979 0.000 1.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.0000 0.979 0.000 1.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.993 1.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 2 0.4022 0.901 0.080 0.920
#> C6D88493-258C-481E-B3A4-75DA86C25C43 2 0.0000 0.979 0.000 1.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.0000 0.993 1.000 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.0000 0.993 1.000 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 1 0.0000 0.993 1.000 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.993 1.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0000 0.993 1.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.0000 0.979 0.000 1.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.979 0.000 1.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.0000 0.993 1.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.9248 0.501 0.340 0.660
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.0000 0.993 1.000 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.993 1.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.0000 0.979 0.000 1.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.0000 0.993 1.000 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.993 1.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.1184 0.964 0.016 0.984
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.979 0.000 1.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.0000 0.993 1.000 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0000 0.979 0.000 1.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.993 1.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.979 0.000 1.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.979 0.000 1.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0000 0.979 0.000 1.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0000 0.993 1.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0000 0.979 0.000 1.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.0000 0.979 0.000 1.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.993 1.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.993 1.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.0000 0.979 0.000 1.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 0.0000 0.979 0.000 1.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.7674 0.716 0.224 0.776
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.979 0.000 1.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.993 1.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 1 0.0000 0.993 1.000 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.993 1.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.0000 0.979 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.993 1.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.993 1.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0000 0.979 0.000 1.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0000 0.993 1.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.993 1.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.0000 0.993 1.000 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.993 1.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.993 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 1 0.0000 0.993 1.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.0000 0.979 0.000 1.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0000 0.979 0.000 1.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.993 1.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.0000 0.979 0.000 1.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0000 0.979 0.000 1.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0000 0.993 1.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.0000 0.979 0.000 1.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0000 0.979 0.000 1.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.979 0.000 1.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.993 1.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0000 0.979 0.000 1.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0000 0.979 0.000 1.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.0000 0.979 0.000 1.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0000 0.993 1.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.979 0.000 1.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.993 1.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.993 1.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 1 0.9922 0.156 0.552 0.448
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.993 1.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.993 1.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0000 0.979 0.000 1.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0000 0.979 0.000 1.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.9358 0.467 0.352 0.648
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.979 0.000 1.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 2 0.0000 0.979 0.000 1.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.979 0.000 1.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.993 1.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.993 1.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.993 1.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.0000 0.979 0.000 1.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0000 0.979 0.000 1.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 2 0.0000 0.979 0.000 1.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.993 1.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0000 0.979 0.000 1.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.993 1.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0000 0.993 1.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.993 1.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.979 0.000 1.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.993 1.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.0000 0.993 1.000 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.0376 0.989 0.996 0.004
#> C7698440-CD13-438F-A60F-063D94C9ECAD 2 0.9358 0.469 0.352 0.648
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.0000 0.979 0.000 1.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0000 0.993 1.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.0000 0.979 0.000 1.000
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.993 1.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.0000 0.979 0.000 1.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.993 1.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 1 0.0000 0.993 1.000 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.0000 0.979 0.000 1.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.0000 0.993 1.000 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.993 1.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0000 0.993 1.000 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.0000 0.979 0.000 1.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.0000 0.993 1.000 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.993 1.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0000 0.979 0.000 1.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.979 0.000 1.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.0000 0.979 0.000 1.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.0000 0.979 0.000 1.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.993 1.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.993 1.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.0000 0.993 1.000 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.993 1.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 0.993 1.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.9248 0.501 0.340 0.660
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.0000 0.993 1.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.0000 0.979 0.000 1.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.993 1.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0000 0.979 0.000 1.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.993 1.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.0000 0.979 0.000 1.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.0000 0.979 0.000 1.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.0000 0.979 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.0000 0.993 1.000 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0000 0.979 0.000 1.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.0000 0.979 0.000 1.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.993 1.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.0000 0.979 0.000 1.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.993 1.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0000 0.979 0.000 1.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.993 1.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.0000 0.979 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.0000 0.979 0.000 1.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 2 0.0000 0.979 0.000 1.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.979 0.000 1.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0000 0.979 0.000 1.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.993 1.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.993 1.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.993 1.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 2 0.7453 0.736 0.212 0.788
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0000 0.993 1.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 2 0.0000 0.979 0.000 1.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.0000 0.993 1.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.979 0.000 1.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.0000 0.979 0.000 1.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.993 1.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.993 1.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.993 1.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0000 0.993 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.94644 0.000 1.000 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.0000 0.94644 0.000 1.000 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.0000 0.94644 0.000 1.000 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.94644 0.000 1.000 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.0000 0.94644 0.000 1.000 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0237 0.94464 0.000 0.996 0.004
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.94644 0.000 1.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 2 0.0000 0.94644 0.000 1.000 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.88403 1.000 0.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 3 0.0000 0.85628 0.000 0.000 1.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.88403 1.000 0.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.6309 0.03874 0.000 0.496 0.504
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.88403 1.000 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.88403 1.000 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.88403 1.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 3 0.0000 0.85628 0.000 0.000 1.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 3 0.0000 0.85628 0.000 0.000 1.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 2 0.4504 0.70952 0.196 0.804 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.0000 0.94644 0.000 1.000 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0000 0.94644 0.000 1.000 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 3 0.6126 0.30915 0.000 0.400 0.600
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.4796 0.69302 0.000 0.780 0.220
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.5988 0.54049 0.632 0.000 0.368
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.1964 0.83103 0.944 0.056 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.94644 0.000 1.000 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.88403 1.000 0.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 3 0.0000 0.85628 0.000 0.000 1.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.0237 0.88090 0.996 0.004 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.6215 0.42111 0.572 0.000 0.428
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.88403 1.000 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.6309 0.02385 0.000 0.500 0.500
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 0.88403 1.000 0.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0000 0.88403 1.000 0.000 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 0.88403 1.000 0.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.0000 0.94644 0.000 1.000 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.0000 0.94644 0.000 1.000 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.5882 0.56797 0.652 0.000 0.348
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 2 0.5882 0.47038 0.348 0.652 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 2 0.0000 0.94644 0.000 1.000 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.0000 0.88403 1.000 0.000 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.6309 0.22975 0.500 0.000 0.500
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 3 0.1031 0.83807 0.024 0.000 0.976
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.88403 1.000 0.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0000 0.88403 1.000 0.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.0000 0.94644 0.000 1.000 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.1031 0.93504 0.000 0.976 0.024
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.5988 0.54049 0.632 0.000 0.368
#> 081452CB-9401-4678-9BA2-431CB2ECF105 3 0.0000 0.85628 0.000 0.000 1.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.4121 0.73059 0.832 0.000 0.168
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.88403 1.000 0.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.1031 0.93504 0.000 0.976 0.024
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.5988 0.54049 0.632 0.000 0.368
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.88403 1.000 0.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.0000 0.85628 0.000 0.000 1.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.94644 0.000 1.000 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.5882 0.56797 0.652 0.000 0.348
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0000 0.94644 0.000 1.000 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.5882 0.56797 0.652 0.000 0.348
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.94644 0.000 1.000 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.94644 0.000 1.000 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.1289 0.92968 0.000 0.968 0.032
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.5968 0.54664 0.636 0.000 0.364
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0000 0.94644 0.000 1.000 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.0000 0.94644 0.000 1.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.88403 1.000 0.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.88403 1.000 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.0000 0.94644 0.000 1.000 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 0.0892 0.93722 0.000 0.980 0.020
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 3 0.0000 0.85628 0.000 0.000 1.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.94644 0.000 1.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.88403 1.000 0.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 3 0.0892 0.84201 0.020 0.000 0.980
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.88403 1.000 0.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.4796 0.69302 0.000 0.780 0.220
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.88403 1.000 0.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.5968 0.54664 0.636 0.000 0.364
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.1031 0.93504 0.000 0.976 0.024
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0000 0.88403 1.000 0.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.88403 1.000 0.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.5988 0.54049 0.632 0.000 0.368
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.5882 0.56797 0.652 0.000 0.348
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.88403 1.000 0.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0237 0.85422 0.004 0.000 0.996
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.0000 0.94644 0.000 1.000 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0000 0.94644 0.000 1.000 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.88403 1.000 0.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.0000 0.94644 0.000 1.000 0.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.1031 0.93504 0.000 0.976 0.024
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.5968 0.54664 0.636 0.000 0.364
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 3 0.0237 0.85489 0.000 0.004 0.996
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.4555 0.73470 0.000 0.800 0.200
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.1031 0.93504 0.000 0.976 0.024
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.88403 1.000 0.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0000 0.94644 0.000 1.000 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0747 0.93925 0.000 0.984 0.016
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.0000 0.94644 0.000 1.000 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0000 0.88403 1.000 0.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.94644 0.000 1.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.88403 1.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.88403 1.000 0.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.85628 0.000 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.88403 1.000 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.88403 1.000 0.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.1031 0.93504 0.000 0.976 0.024
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0000 0.94644 0.000 1.000 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.9722 0.07408 0.312 0.444 0.244
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.94644 0.000 1.000 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 2 0.4605 0.69793 0.204 0.796 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.94644 0.000 1.000 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.88403 1.000 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.88403 1.000 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.88403 1.000 0.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.0000 0.94644 0.000 1.000 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.1163 0.93248 0.000 0.972 0.028
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 2 0.4555 0.70378 0.200 0.800 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.88403 1.000 0.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0000 0.94644 0.000 1.000 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.88403 1.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0000 0.88403 1.000 0.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.5988 0.54049 0.632 0.000 0.368
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.94644 0.000 1.000 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.5968 0.54664 0.636 0.000 0.364
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.5988 0.54049 0.632 0.000 0.368
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 3 0.3267 0.74766 0.116 0.000 0.884
#> C7698440-CD13-438F-A60F-063D94C9ECAD 2 0.6079 0.40534 0.388 0.612 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.0000 0.94644 0.000 1.000 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0424 0.87752 0.992 0.008 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 3 0.0237 0.85489 0.000 0.004 0.996
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.88403 1.000 0.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 3 0.0000 0.85628 0.000 0.000 1.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.88403 1.000 0.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 3 0.0892 0.84201 0.020 0.000 0.980
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 3 0.6008 0.37189 0.000 0.372 0.628
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.6079 0.50674 0.612 0.000 0.388
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.88403 1.000 0.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0000 0.88403 1.000 0.000 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.0000 0.94644 0.000 1.000 0.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 3 0.0237 0.85422 0.004 0.000 0.996
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.88403 1.000 0.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.1289 0.92968 0.000 0.968 0.032
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.1031 0.93504 0.000 0.976 0.024
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 3 0.0000 0.85628 0.000 0.000 1.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.2711 0.87798 0.000 0.912 0.088
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.88403 1.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.88403 1.000 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.4399 0.74071 0.812 0.000 0.188
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.88403 1.000 0.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 0.88403 1.000 0.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 3 0.0000 0.85628 0.000 0.000 1.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.6309 -0.26732 0.500 0.000 0.500
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.2448 0.89040 0.000 0.924 0.076
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0747 0.87055 0.984 0.016 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0000 0.94644 0.000 1.000 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.88403 1.000 0.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.0000 0.94644 0.000 1.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.0747 0.93925 0.000 0.984 0.016
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.4796 0.69302 0.000 0.780 0.220
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.4842 0.56103 0.224 0.000 0.776
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0000 0.94644 0.000 1.000 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.0000 0.94644 0.000 1.000 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.88403 1.000 0.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.1031 0.93504 0.000 0.976 0.024
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.88403 1.000 0.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 3 0.5988 0.37968 0.000 0.368 0.632
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.88403 1.000 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.85628 0.000 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.0000 0.94644 0.000 1.000 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 2 0.0000 0.94644 0.000 1.000 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.94644 0.000 1.000 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0000 0.94644 0.000 1.000 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.88403 1.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.88403 1.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.88403 1.000 0.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.6295 0.00861 0.528 0.472 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0000 0.88403 1.000 0.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 2 0.0000 0.94644 0.000 1.000 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.5988 0.54049 0.632 0.000 0.368
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.1031 0.93504 0.000 0.976 0.024
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.0000 0.94644 0.000 1.000 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.88403 1.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.5882 0.56797 0.652 0.000 0.348
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0892 0.86699 0.980 0.020 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.4062 0.76244 0.836 0.000 0.164
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.4103 0.7660 0.000 0.256 0.000 0.744
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.4103 0.7660 0.000 0.256 0.000 0.744
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.4040 0.7702 0.000 0.248 0.000 0.752
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.3400 0.8093 0.000 0.820 0.000 0.180
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.2814 0.8040 0.000 0.132 0.000 0.868
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.1211 0.8615 0.960 0.000 0.000 0.040
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 3 0.4776 0.5313 0.000 0.164 0.776 0.060
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0336 0.8769 0.992 0.000 0.000 0.008
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.4094 0.6800 0.000 0.828 0.116 0.056
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.8754 1.000 0.000 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.3942 0.6236 0.764 0.000 0.236 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0469 0.8772 0.988 0.000 0.000 0.012
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 3 0.4989 0.5260 0.000 0.164 0.764 0.072
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 3 0.6417 0.1898 0.000 0.388 0.540 0.072
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 4 0.2216 0.7920 0.000 0.092 0.000 0.908
#> 851B9B77-547A-43CC-B939-428E0A26C67C 4 0.4103 0.7660 0.000 0.256 0.000 0.744
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.3810 0.6964 0.000 0.848 0.060 0.092
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.1938 0.7866 0.000 0.936 0.012 0.052
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 3 0.4961 0.3537 0.448 0.000 0.552 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.4008 0.5810 0.244 0.000 0.000 0.756
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.1211 0.8615 0.960 0.000 0.000 0.040
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 3 0.6324 0.2623 0.000 0.356 0.572 0.072
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.4103 0.5646 0.256 0.000 0.000 0.744
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.4661 0.4574 0.348 0.000 0.652 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.3356 0.7189 0.824 0.000 0.176 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.3392 0.7261 0.000 0.872 0.072 0.056
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.3356 0.7204 0.824 0.000 0.176 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.1792 0.8312 0.932 0.000 0.068 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0921 0.8604 0.972 0.000 0.028 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 4 0.2921 0.8031 0.000 0.140 0.000 0.860
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.3528 0.7869 0.000 0.808 0.000 0.192
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 3 0.4998 0.2665 0.488 0.000 0.512 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.4267 0.6548 0.188 0.024 0.000 0.788
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.2814 0.8040 0.000 0.132 0.000 0.868
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.5402 0.1365 0.516 0.000 0.012 0.472
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.3688 0.5543 0.208 0.000 0.792 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 3 0.0336 0.5753 0.008 0.000 0.992 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0469 0.8772 0.988 0.000 0.000 0.012
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.1109 0.8628 0.968 0.000 0.028 0.004
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 4 0.4103 0.7660 0.000 0.256 0.000 0.744
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0188 0.8177 0.000 0.996 0.000 0.004
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 3 0.4961 0.3537 0.448 0.000 0.552 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 3 0.4989 0.5260 0.000 0.164 0.764 0.072
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.6058 0.4005 0.624 0.000 0.308 0.068
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.8754 1.000 0.000 0.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.0188 0.8177 0.000 0.996 0.000 0.004
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 3 0.4961 0.3537 0.448 0.000 0.552 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0469 0.8772 0.988 0.000 0.000 0.012
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.2871 0.5581 0.000 0.032 0.896 0.072
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 3 0.4998 0.2672 0.488 0.000 0.512 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 3 0.4998 0.2665 0.488 0.000 0.512 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.1452 0.7931 0.000 0.956 0.008 0.036
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 3 0.4994 0.2883 0.480 0.000 0.520 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.3355 0.8160 0.004 0.836 0.000 0.160
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0469 0.8772 0.988 0.000 0.000 0.012
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.3486 0.7018 0.812 0.000 0.188 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.4103 0.7660 0.000 0.256 0.000 0.744
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 0.1022 0.8128 0.000 0.968 0.000 0.032
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 3 0.4989 0.5260 0.000 0.164 0.764 0.072
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0469 0.8772 0.988 0.000 0.000 0.012
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 3 0.0336 0.5753 0.008 0.000 0.992 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0469 0.8772 0.988 0.000 0.000 0.012
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.1807 0.7887 0.000 0.940 0.008 0.052
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0469 0.8772 0.988 0.000 0.000 0.012
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 3 0.4994 0.2883 0.480 0.000 0.520 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0188 0.8177 0.000 0.996 0.000 0.004
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.1211 0.8615 0.960 0.000 0.000 0.040
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.1211 0.8615 0.960 0.000 0.000 0.040
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 3 0.4961 0.3537 0.448 0.000 0.552 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 3 0.4996 0.2780 0.484 0.000 0.516 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0469 0.8772 0.988 0.000 0.000 0.012
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.4436 0.5457 0.000 0.148 0.800 0.052
#> 25652859-77A4-43A3-8C72-B78E7F165924 4 0.4103 0.7660 0.000 0.256 0.000 0.744
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.4761 0.4412 0.000 0.628 0.000 0.372
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.1211 0.8615 0.960 0.000 0.000 0.040
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 4 0.2814 0.8040 0.000 0.132 0.000 0.868
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0188 0.8177 0.000 0.996 0.000 0.004
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 3 0.4985 0.3145 0.468 0.000 0.532 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 3 0.4756 0.5273 0.000 0.144 0.784 0.072
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.2623 0.7542 0.000 0.908 0.028 0.064
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0188 0.8177 0.000 0.996 0.000 0.004
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0336 0.8769 0.992 0.000 0.000 0.008
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0921 0.8205 0.000 0.972 0.000 0.028
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.4072 0.7683 0.000 0.252 0.000 0.748
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.3172 0.7406 0.840 0.000 0.160 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.8754 1.000 0.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.1211 0.8615 0.960 0.000 0.000 0.040
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.4849 0.5360 0.000 0.164 0.772 0.064
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0469 0.8772 0.988 0.000 0.000 0.012
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.1716 0.8340 0.936 0.000 0.064 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0336 0.8185 0.000 0.992 0.000 0.008
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.2700 0.7388 0.020 0.020 0.044 0.916
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.4624 0.5247 0.000 0.660 0.000 0.340
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.2675 0.7712 0.044 0.048 0.000 0.908
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.8754 1.000 0.000 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.8754 1.000 0.000 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.3311 0.7242 0.828 0.000 0.172 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0592 0.8092 0.000 0.984 0.000 0.016
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 4 0.2216 0.7920 0.000 0.092 0.000 0.908
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0592 0.8754 0.984 0.000 0.000 0.016
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.8754 1.000 0.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0469 0.8772 0.988 0.000 0.000 0.012
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 3 0.4961 0.3537 0.448 0.000 0.552 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 3 0.4994 0.2883 0.480 0.000 0.520 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.4961 0.3537 0.448 0.000 0.552 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 3 0.7961 0.4297 0.116 0.276 0.548 0.060
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.7634 0.4960 0.340 0.216 0.000 0.444
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.4996 0.0434 0.516 0.000 0.000 0.484
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 3 0.4906 0.4744 0.000 0.084 0.776 0.140
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.2973 0.7575 0.856 0.000 0.144 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 3 0.4989 0.5260 0.000 0.164 0.764 0.072
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.1118 0.8641 0.964 0.000 0.000 0.036
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 3 0.0524 0.5748 0.008 0.000 0.988 0.004
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.5392 0.5460 0.000 0.724 0.204 0.072
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 3 0.4804 0.4245 0.384 0.000 0.616 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0469 0.8772 0.988 0.000 0.000 0.012
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.3610 0.6684 0.800 0.000 0.000 0.200
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 4 0.4103 0.7660 0.000 0.256 0.000 0.744
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 3 0.1902 0.5710 0.000 0.064 0.932 0.004
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.1211 0.8615 0.960 0.000 0.000 0.040
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.2048 0.7726 0.000 0.928 0.008 0.064
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.8161 0.000 1.000 0.000 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 3 0.4989 0.5260 0.000 0.164 0.764 0.072
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.1854 0.7818 0.000 0.940 0.012 0.048
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0469 0.8772 0.988 0.000 0.000 0.012
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.8754 1.000 0.000 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.3837 0.6445 0.776 0.000 0.224 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.4008 0.6087 0.756 0.000 0.244 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.3172 0.7393 0.840 0.000 0.160 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 3 0.4989 0.5260 0.000 0.164 0.764 0.072
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.4040 0.5322 0.248 0.000 0.752 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.1854 0.7818 0.000 0.940 0.012 0.048
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.4998 0.0303 0.512 0.000 0.000 0.488
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.4888 0.3157 0.000 0.588 0.000 0.412
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.1211 0.8615 0.960 0.000 0.000 0.040
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.1302 0.8180 0.000 0.956 0.000 0.044
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.1938 0.7866 0.000 0.936 0.012 0.052
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.3311 0.5702 0.172 0.000 0.828 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 4 0.4477 0.6634 0.000 0.312 0.000 0.688
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.2814 0.8040 0.000 0.132 0.000 0.868
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.3764 0.6579 0.784 0.000 0.216 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.0188 0.8177 0.000 0.996 0.000 0.004
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0469 0.8772 0.988 0.000 0.000 0.012
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.5356 0.5508 0.000 0.728 0.200 0.072
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0469 0.8772 0.988 0.000 0.000 0.012
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.5842 0.4795 0.000 0.220 0.688 0.092
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.2281 0.8219 0.000 0.904 0.000 0.096
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.4103 0.7660 0.000 0.256 0.000 0.744
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.3219 0.8171 0.000 0.836 0.000 0.164
#> CC008807-7264-4593-966F-104992B35873 2 0.4761 0.4412 0.000 0.628 0.000 0.372
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.8754 1.000 0.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.8754 1.000 0.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0469 0.8772 0.988 0.000 0.000 0.012
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.3271 0.7101 0.132 0.012 0.000 0.856
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0469 0.8772 0.988 0.000 0.000 0.012
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.2814 0.8040 0.000 0.132 0.000 0.868
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.4972 0.3390 0.456 0.000 0.544 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0336 0.8127 0.000 0.992 0.000 0.008
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.4103 0.7660 0.000 0.256 0.000 0.744
#> 67E92530-3B19-424C-B219-958A88909046 1 0.2345 0.8024 0.900 0.000 0.100 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 3 0.4996 0.2780 0.484 0.000 0.516 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.4103 0.5646 0.256 0.000 0.000 0.744
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.4134 0.5756 0.740 0.000 0.260 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 5 0.3661 0.6870 0.000 0.276 0.000 0.000 0.724
#> B626F298-622E-4C4F-8217-71D1234A6670 5 0.3661 0.6870 0.000 0.276 0.000 0.000 0.724
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> EB246839-8CB3-4B57-985E-DCEE23692361 5 0.3480 0.7030 0.000 0.248 0.000 0.000 0.752
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.2789 0.5924 0.008 0.880 0.092 0.000 0.020
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 5 0.2852 0.7284 0.000 0.172 0.000 0.000 0.828
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.1341 0.8537 0.000 0.000 0.000 0.944 0.056
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.8183 -0.6122 0.360 0.236 0.288 0.000 0.116
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.0880 0.8701 0.032 0.000 0.000 0.968 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.2561 0.5727 0.000 0.144 0.856 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 4 0.1043 0.8656 0.040 0.000 0.000 0.960 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.3796 0.7404 0.700 0.000 0.000 0.300 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 4 0.0290 0.8787 0.008 0.000 0.000 0.992 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 3 0.8200 0.6336 0.304 0.236 0.344 0.000 0.116
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 3 0.8112 0.5276 0.200 0.340 0.344 0.000 0.116
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 5 0.2462 0.7036 0.000 0.112 0.000 0.008 0.880
#> 851B9B77-547A-43CC-B939-428E0A26C67C 5 0.3661 0.6870 0.000 0.276 0.000 0.000 0.724
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.5152 0.1430 0.012 0.668 0.268 0.000 0.052
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.2690 0.5666 0.000 0.156 0.844 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.3003 0.8157 0.812 0.000 0.000 0.188 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 5 0.4074 0.2722 0.000 0.000 0.000 0.364 0.636
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.1341 0.8537 0.000 0.000 0.000 0.944 0.056
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 3 0.8137 0.5383 0.208 0.332 0.344 0.000 0.116
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 5 0.4114 0.2457 0.000 0.000 0.000 0.376 0.624
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.3242 0.8029 0.816 0.000 0.012 0.172 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.4278 0.5092 0.548 0.000 0.000 0.452 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.2561 0.5727 0.000 0.144 0.856 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.4235 0.5593 0.576 0.000 0.000 0.424 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.3586 0.4627 0.264 0.000 0.000 0.736 0.000
#> AA838488-4A13-4998-B261-91590113F37D 4 0.1608 0.8334 0.072 0.000 0.000 0.928 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 5 0.2891 0.7277 0.000 0.176 0.000 0.000 0.824
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.3612 0.6349 0.000 0.732 0.000 0.000 0.268
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.3143 0.8163 0.796 0.000 0.000 0.204 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 5 0.3906 0.4974 0.000 0.016 0.000 0.240 0.744
#> C6D88493-258C-481E-B3A4-75DA86C25C43 5 0.2852 0.7284 0.000 0.172 0.000 0.000 0.828
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.5164 0.1892 0.020 0.000 0.012 0.520 0.448
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.3123 0.7928 0.828 0.000 0.012 0.160 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 1 0.2149 0.4491 0.916 0.000 0.048 0.000 0.036
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 4 0.0290 0.8788 0.008 0.000 0.000 0.992 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 4 0.1544 0.8376 0.068 0.000 0.000 0.932 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 5 0.3636 0.6902 0.000 0.272 0.000 0.000 0.728
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0290 0.6643 0.000 0.992 0.008 0.000 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.3003 0.8157 0.812 0.000 0.000 0.188 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 3 0.8200 0.6336 0.304 0.236 0.344 0.000 0.116
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.5879 0.3176 0.696 0.000 0.088 0.116 0.100
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 4 0.1341 0.8511 0.056 0.000 0.000 0.944 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.0451 0.6661 0.000 0.988 0.008 0.000 0.004
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.3003 0.8157 0.812 0.000 0.000 0.188 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.0162 0.8794 0.004 0.000 0.000 0.996 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 3 0.6531 0.5536 0.396 0.024 0.472 0.000 0.108
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.3242 0.8119 0.784 0.000 0.000 0.216 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.3210 0.6771 0.000 0.788 0.000 0.000 0.212
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.3143 0.8163 0.796 0.000 0.000 0.204 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.1774 0.6322 0.000 0.932 0.052 0.000 0.016
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.3039 0.8167 0.808 0.000 0.000 0.192 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.3489 0.6763 0.000 0.784 0.004 0.004 0.208
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.0162 0.8793 0.000 0.000 0.000 0.996 0.004
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.4262 0.5341 0.560 0.000 0.000 0.440 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 5 0.3636 0.6902 0.000 0.272 0.000 0.000 0.728
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 0.3463 0.5663 0.020 0.852 0.088 0.000 0.040
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 3 0.8200 0.6336 0.304 0.236 0.344 0.000 0.116
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.0000 0.8796 0.000 0.000 0.000 1.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 1 0.2473 0.4347 0.896 0.000 0.072 0.000 0.032
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.0000 0.8796 0.000 0.000 0.000 1.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.2690 0.5666 0.000 0.156 0.844 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.0404 0.8776 0.012 0.000 0.000 0.988 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.3074 0.8170 0.804 0.000 0.000 0.196 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0451 0.6661 0.000 0.988 0.008 0.000 0.004
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.1341 0.8537 0.000 0.000 0.000 0.944 0.056
#> 3E070741-BBA0-4806-8D74-08595E249252 4 0.1270 0.8565 0.000 0.000 0.000 0.948 0.052
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.3003 0.8157 0.812 0.000 0.000 0.188 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.3143 0.8163 0.796 0.000 0.000 0.204 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.0000 0.8796 0.000 0.000 0.000 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.2280 0.5458 0.120 0.000 0.880 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 5 0.3707 0.6774 0.000 0.284 0.000 0.000 0.716
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.4242 0.2583 0.000 0.572 0.000 0.000 0.428
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.1270 0.8565 0.000 0.000 0.000 0.948 0.052
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 5 0.2852 0.7284 0.000 0.172 0.000 0.000 0.828
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0451 0.6661 0.000 0.988 0.008 0.000 0.004
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.3039 0.8167 0.808 0.000 0.000 0.192 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 3 0.6942 0.5713 0.372 0.052 0.468 0.000 0.108
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.6592 0.0955 0.120 0.632 0.136 0.000 0.112
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0451 0.6661 0.000 0.988 0.008 0.000 0.004
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.0880 0.8703 0.032 0.000 0.000 0.968 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.1597 0.6415 0.000 0.940 0.048 0.000 0.012
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 5 0.3636 0.6902 0.000 0.272 0.000 0.000 0.728
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.4249 0.5512 0.568 0.000 0.000 0.432 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 4 0.0963 0.8681 0.036 0.000 0.000 0.964 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.1410 0.8503 0.000 0.000 0.000 0.940 0.060
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.2482 0.5741 0.084 0.024 0.892 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 4 0.0162 0.8793 0.000 0.000 0.000 0.996 0.004
#> D227D812-6DF9-4954-9A50-6EBF6486116C 4 0.2773 0.6925 0.164 0.000 0.000 0.836 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0880 0.6713 0.000 0.968 0.000 0.000 0.032
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> 8B23AB23-8931-42CA-972D-1528D44BF218 5 0.6644 -0.0700 0.120 0.212 0.056 0.004 0.608
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.3730 0.6045 0.000 0.712 0.000 0.000 0.288
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 5 0.2782 0.6639 0.000 0.048 0.000 0.072 0.880
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 4 0.1043 0.8656 0.040 0.000 0.000 0.960 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 4 0.1043 0.8656 0.040 0.000 0.000 0.960 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.4300 0.4514 0.524 0.000 0.000 0.476 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0912 0.6553 0.000 0.972 0.012 0.000 0.016
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 5 0.2522 0.7017 0.000 0.108 0.000 0.012 0.880
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.0404 0.8764 0.000 0.000 0.000 0.988 0.012
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 4 0.1043 0.8656 0.040 0.000 0.000 0.960 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.0162 0.8793 0.000 0.000 0.000 0.996 0.004
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.3003 0.8157 0.812 0.000 0.000 0.188 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.3074 0.8170 0.804 0.000 0.000 0.196 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.3003 0.8157 0.812 0.000 0.000 0.188 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.8480 -0.4848 0.316 0.360 0.192 0.016 0.116
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.6708 -0.2919 0.000 0.204 0.004 0.408 0.384
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 4 0.3508 0.6401 0.000 0.000 0.000 0.748 0.252
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 3 0.7022 0.5811 0.356 0.052 0.472 0.000 0.120
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.4307 0.3853 0.500 0.000 0.000 0.500 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 3 0.8200 0.6336 0.304 0.236 0.344 0.000 0.116
#> B11753A0-829F-4913-B894-F07A53FF1C92 4 0.1270 0.8565 0.000 0.000 0.000 0.948 0.052
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 1 0.2694 0.3987 0.884 0.000 0.076 0.000 0.040
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.7409 -0.1850 0.168 0.536 0.180 0.000 0.116
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.2848 0.7896 0.840 0.000 0.004 0.156 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.0162 0.8793 0.000 0.000 0.000 0.996 0.004
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.2605 0.7593 0.000 0.000 0.000 0.852 0.148
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 5 0.3707 0.6774 0.000 0.284 0.000 0.000 0.716
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.4240 0.2425 0.756 0.004 0.208 0.004 0.028
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.1341 0.8537 0.000 0.000 0.000 0.944 0.056
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.3515 0.5233 0.008 0.844 0.064 0.000 0.084
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0404 0.6690 0.000 0.988 0.000 0.000 0.012
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 3 0.8206 0.6249 0.316 0.236 0.332 0.000 0.116
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.6149 0.2009 0.076 0.668 0.144 0.000 0.112
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 4 0.0162 0.8794 0.004 0.000 0.000 0.996 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 4 0.1043 0.8656 0.040 0.000 0.000 0.960 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.6130 0.6652 0.556 0.000 0.180 0.264 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.3612 0.7745 0.732 0.000 0.000 0.268 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 4 0.4268 -0.2282 0.444 0.000 0.000 0.556 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 3 0.8200 0.6336 0.304 0.236 0.344 0.000 0.116
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.3163 0.7965 0.824 0.000 0.012 0.164 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.5607 0.2966 0.056 0.712 0.124 0.000 0.108
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 4 0.3480 0.6465 0.000 0.000 0.000 0.752 0.248
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.4287 0.1504 0.000 0.540 0.000 0.000 0.460
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.1270 0.8565 0.000 0.000 0.000 0.948 0.052
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.3627 0.5300 0.008 0.836 0.092 0.000 0.064
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.2690 0.5666 0.000 0.156 0.844 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.3821 0.7608 0.800 0.000 0.052 0.148 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 5 0.4060 0.5088 0.000 0.360 0.000 0.000 0.640
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 5 0.2813 0.7273 0.000 0.168 0.000 0.000 0.832
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.4249 0.5514 0.568 0.000 0.000 0.432 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.1830 0.6326 0.008 0.924 0.068 0.000 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.0000 0.8796 0.000 0.000 0.000 1.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.7604 -0.2606 0.168 0.504 0.212 0.000 0.116
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 4 0.0162 0.8793 0.000 0.000 0.000 0.996 0.004
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.1732 0.5955 0.000 0.080 0.920 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.2648 0.6777 0.000 0.848 0.000 0.000 0.152
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 5 0.4101 0.4843 0.000 0.372 0.000 0.000 0.628
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.3395 0.6739 0.000 0.764 0.000 0.000 0.236
#> CC008807-7264-4593-966F-104992B35873 2 0.4242 0.2583 0.000 0.572 0.000 0.000 0.428
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 4 0.1043 0.8656 0.040 0.000 0.000 0.960 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 4 0.1043 0.8656 0.040 0.000 0.000 0.960 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.0880 0.8706 0.032 0.000 0.000 0.968 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 5 0.3366 0.5043 0.000 0.000 0.000 0.232 0.768
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.0162 0.8793 0.000 0.000 0.000 0.996 0.004
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 5 0.2852 0.7284 0.000 0.172 0.000 0.000 0.828
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.3039 0.8166 0.808 0.000 0.000 0.192 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0451 0.6661 0.000 0.988 0.008 0.000 0.004
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 5 0.3636 0.6902 0.000 0.272 0.000 0.000 0.728
#> 67E92530-3B19-424C-B219-958A88909046 4 0.4192 -0.0603 0.404 0.000 0.000 0.596 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.3143 0.8163 0.796 0.000 0.000 0.204 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 5 0.4060 0.2803 0.000 0.000 0.000 0.360 0.640
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.3366 0.8044 0.768 0.000 0.000 0.232 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0260 0.866 0.000 0.992 0.000 0.000 0.000 0.008
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 6 0.3782 0.507 0.000 0.412 0.000 0.000 0.000 0.588
#> B626F298-622E-4C4F-8217-71D1234A6670 6 0.3684 0.576 0.000 0.372 0.000 0.000 0.000 0.628
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0260 0.866 0.000 0.992 0.000 0.000 0.000 0.008
#> EB246839-8CB3-4B57-985E-DCEE23692361 6 0.2762 0.728 0.000 0.196 0.000 0.000 0.000 0.804
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.3390 0.620 0.000 0.704 0.000 0.000 0.296 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.865 0.000 1.000 0.000 0.000 0.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 6 0.1610 0.745 0.000 0.084 0.000 0.000 0.000 0.916
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.1251 0.922 0.956 0.000 0.008 0.000 0.012 0.024
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 5 0.1078 0.740 0.000 0.000 0.008 0.016 0.964 0.012
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0547 0.943 0.980 0.000 0.000 0.020 0.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0508 0.993 0.000 0.012 0.984 0.000 0.004 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0547 0.943 0.980 0.000 0.000 0.020 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 4 0.1007 0.849 0.044 0.000 0.000 0.956 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0260 0.945 0.992 0.000 0.000 0.008 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 5 0.1857 0.733 0.000 0.000 0.028 0.032 0.928 0.012
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.1418 0.743 0.000 0.032 0.024 0.000 0.944 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 6 0.1196 0.731 0.008 0.040 0.000 0.000 0.000 0.952
#> 851B9B77-547A-43CC-B939-428E0A26C67C 6 0.3789 0.497 0.000 0.416 0.000 0.000 0.000 0.584
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0260 0.866 0.000 0.992 0.000 0.000 0.000 0.008
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.5434 0.357 0.000 0.564 0.164 0.000 0.272 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0508 0.993 0.000 0.012 0.984 0.000 0.004 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 4 0.0632 0.855 0.024 0.000 0.000 0.976 0.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 6 0.2355 0.661 0.112 0.000 0.008 0.000 0.004 0.876
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0260 0.866 0.000 0.992 0.000 0.000 0.000 0.008
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.1138 0.924 0.960 0.000 0.004 0.000 0.012 0.024
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.0405 0.744 0.000 0.004 0.008 0.000 0.988 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 6 0.2917 0.628 0.136 0.000 0.008 0.000 0.016 0.840
#> 87432922-178A-451F-AB92-56FFED13EF3E 4 0.1608 0.832 0.016 0.000 0.004 0.940 0.004 0.036
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 4 0.3101 0.709 0.244 0.000 0.000 0.756 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0508 0.993 0.000 0.012 0.984 0.000 0.004 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.3198 0.692 0.260 0.000 0.000 0.740 0.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.3804 0.165 0.576 0.000 0.000 0.424 0.000 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.1501 0.903 0.924 0.000 0.000 0.076 0.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 6 0.2048 0.743 0.000 0.120 0.000 0.000 0.000 0.880
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.0260 0.865 0.000 0.992 0.000 0.000 0.000 0.008
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 4 0.0632 0.855 0.024 0.000 0.000 0.976 0.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 6 0.1554 0.699 0.044 0.000 0.004 0.004 0.008 0.940
#> C6D88493-258C-481E-B3A4-75DA86C25C43 6 0.1610 0.745 0.000 0.084 0.000 0.000 0.000 0.916
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 6 0.5736 0.314 0.336 0.000 0.012 0.020 0.080 0.552
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 4 0.1514 0.819 0.004 0.000 0.004 0.944 0.012 0.036
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 4 0.4023 0.565 0.000 0.000 0.004 0.720 0.240 0.036
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0260 0.945 0.992 0.000 0.000 0.008 0.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.1610 0.892 0.916 0.000 0.000 0.084 0.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 6 0.3244 0.699 0.000 0.268 0.000 0.000 0.000 0.732
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.2454 0.780 0.000 0.840 0.000 0.000 0.160 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 4 0.0632 0.855 0.024 0.000 0.000 0.976 0.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 5 0.1498 0.738 0.000 0.000 0.028 0.032 0.940 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 5 0.6193 0.309 0.032 0.000 0.012 0.316 0.528 0.112
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.1267 0.918 0.940 0.000 0.000 0.060 0.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.2454 0.780 0.000 0.840 0.000 0.000 0.160 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.0632 0.855 0.024 0.000 0.000 0.976 0.000 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0912 0.941 0.972 0.000 0.004 0.008 0.012 0.004
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#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 6 0.2312 0.684 0.080 0.004 0.008 0.000 0.012 0.896
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0260 0.945 0.992 0.000 0.000 0.008 0.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 6 0.1556 0.744 0.000 0.080 0.000 0.000 0.000 0.920
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 4 0.0632 0.855 0.024 0.000 0.000 0.976 0.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.2454 0.780 0.000 0.840 0.000 0.000 0.160 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 6 0.3244 0.699 0.000 0.268 0.000 0.000 0.000 0.732
#> 67E92530-3B19-424C-B219-958A88909046 4 0.3727 0.458 0.388 0.000 0.000 0.612 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.0632 0.855 0.024 0.000 0.000 0.976 0.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 6 0.2114 0.681 0.076 0.000 0.008 0.000 0.012 0.904
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.0713 0.854 0.028 0.000 0.000 0.972 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "pam"]
# you can also extract it by
# res = res_list["ATC:pam"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17604 rows and 183 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 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 0.436 0.876 0.882 0.4737 0.497 0.497
#> 3 3 0.731 0.878 0.888 0.3217 0.731 0.524
#> 4 4 0.938 0.904 0.950 0.1291 0.925 0.794
#> 5 5 0.968 0.924 0.972 0.0427 0.972 0.906
#> 6 6 0.892 0.892 0.947 0.0605 0.946 0.800
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] 4
There is also optional best \(k\) = 4 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.933 0.000 1.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.0000 0.933 0.000 1.000
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.0000 0.933 0.000 1.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.933 0.000 1.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.0000 0.933 0.000 1.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.5178 0.887 0.116 0.884
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.933 0.000 1.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 2 0.0000 0.933 0.000 1.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.6438 0.872 0.836 0.164
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.9881 0.166 0.436 0.564
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.6343 0.873 0.840 0.160
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.5178 0.887 0.116 0.884
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.888 1.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.888 1.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.888 1.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.5178 0.887 0.116 0.884
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.5178 0.887 0.116 0.884
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 2 0.5059 0.890 0.112 0.888
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.0000 0.933 0.000 1.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0000 0.933 0.000 1.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.5178 0.887 0.116 0.884
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.0000 0.933 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.888 1.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.7883 0.719 0.236 0.764
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.933 0.000 1.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.6438 0.872 0.836 0.164
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.5178 0.887 0.116 0.884
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.6438 0.872 0.836 0.164
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.0000 0.888 1.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.888 1.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.0000 0.933 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.6438 0.872 0.836 0.164
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0000 0.888 1.000 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.5842 0.877 0.860 0.140
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.0000 0.933 0.000 1.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.0000 0.933 0.000 1.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.888 1.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.7139 0.837 0.804 0.196
#> C6D88493-258C-481E-B3A4-75DA86C25C43 2 0.0000 0.933 0.000 1.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.6438 0.872 0.836 0.164
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.0000 0.888 1.000 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 1 0.6438 0.872 0.836 0.164
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.6438 0.872 0.836 0.164
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.6438 0.872 0.836 0.164
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.0000 0.933 0.000 1.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.933 0.000 1.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.0000 0.888 1.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.5178 0.887 0.116 0.884
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.6438 0.872 0.836 0.164
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.6438 0.872 0.836 0.164
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.0000 0.933 0.000 1.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.0000 0.888 1.000 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.6343 0.873 0.840 0.160
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.5178 0.887 0.116 0.884
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.933 0.000 1.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.0376 0.888 0.996 0.004
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0000 0.933 0.000 1.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.888 1.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.933 0.000 1.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.933 0.000 1.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.4939 0.892 0.108 0.892
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0000 0.888 1.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0000 0.933 0.000 1.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.4939 0.892 0.108 0.892
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.5842 0.877 0.860 0.140
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.888 1.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.0000 0.933 0.000 1.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 0.5178 0.887 0.116 0.884
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.7815 0.726 0.232 0.768
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.933 0.000 1.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.6247 0.874 0.844 0.156
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 1 0.8443 0.727 0.728 0.272
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.6438 0.872 0.836 0.164
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.0000 0.933 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.6438 0.872 0.836 0.164
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.888 1.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0000 0.933 0.000 1.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.6438 0.872 0.836 0.164
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.6438 0.872 0.836 0.164
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.6438 0.872 0.836 0.164
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.888 1.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.6343 0.873 0.840 0.160
#> F521826B-B2EC-4000-9CE0-935F331AF562 1 0.0376 0.888 0.996 0.004
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.0000 0.933 0.000 1.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0000 0.933 0.000 1.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.6438 0.872 0.836 0.164
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.4939 0.892 0.108 0.892
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0000 0.933 0.000 1.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.2423 0.887 0.960 0.040
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.5178 0.887 0.116 0.884
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.4939 0.892 0.108 0.892
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.933 0.000 1.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.888 1.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0000 0.933 0.000 1.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0000 0.933 0.000 1.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.0000 0.933 0.000 1.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0000 0.888 1.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.933 0.000 1.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.888 1.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.6438 0.872 0.836 0.164
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 1 0.9977 0.212 0.528 0.472
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.6148 0.875 0.848 0.152
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.6438 0.872 0.836 0.164
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0000 0.933 0.000 1.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0000 0.933 0.000 1.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.5842 0.861 0.140 0.860
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.933 0.000 1.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 2 0.9170 0.503 0.332 0.668
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.933 0.000 1.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.888 1.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.888 1.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.888 1.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.0000 0.933 0.000 1.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0000 0.933 0.000 1.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 2 0.6887 0.763 0.184 0.816
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.6438 0.872 0.836 0.164
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0000 0.933 0.000 1.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.888 1.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.6438 0.872 0.836 0.164
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.888 1.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.933 0.000 1.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.6438 0.872 0.836 0.164
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.0000 0.888 1.000 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.8813 0.587 0.300 0.700
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.9963 0.243 0.536 0.464
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.0000 0.933 0.000 1.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.6438 0.872 0.836 0.164
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.5178 0.887 0.116 0.884
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.888 1.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.5178 0.887 0.116 0.884
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.6438 0.872 0.836 0.164
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 1 0.9795 0.401 0.584 0.416
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.5178 0.887 0.116 0.884
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.6438 0.872 0.836 0.164
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.6438 0.872 0.836 0.164
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.6438 0.872 0.836 0.164
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.0000 0.933 0.000 1.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.8861 0.669 0.696 0.304
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.6438 0.872 0.836 0.164
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0000 0.933 0.000 1.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.933 0.000 1.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.5178 0.887 0.116 0.884
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.5178 0.887 0.116 0.884
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.888 1.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.888 1.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.6438 0.872 0.836 0.164
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.888 1.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 0.888 1.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.5178 0.887 0.116 0.884
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.0000 0.888 1.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.4939 0.892 0.108 0.892
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.6623 0.866 0.828 0.172
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0000 0.933 0.000 1.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.6438 0.872 0.836 0.164
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.3733 0.908 0.072 0.928
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.4022 0.905 0.080 0.920
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.0000 0.933 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.3114 0.866 0.944 0.056
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0000 0.933 0.000 1.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.4690 0.896 0.100 0.900
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.888 1.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.5178 0.887 0.116 0.884
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.2603 0.887 0.956 0.044
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.5178 0.887 0.116 0.884
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.888 1.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.5178 0.887 0.116 0.884
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.4939 0.892 0.108 0.892
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 2 0.0000 0.933 0.000 1.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.933 0.000 1.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0000 0.933 0.000 1.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.888 1.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.888 1.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.6343 0.873 0.840 0.160
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 2 0.4939 0.892 0.108 0.892
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0376 0.888 0.996 0.004
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 2 0.0000 0.933 0.000 1.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.0000 0.888 1.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.933 0.000 1.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.0000 0.933 0.000 1.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.888 1.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.888 1.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.6438 0.872 0.836 0.164
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0000 0.888 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 3 0.0000 0.955 0.000 0.000 1.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 3 0.0000 0.955 0.000 0.000 1.000
#> B626F298-622E-4C4F-8217-71D1234A6670 3 0.0000 0.955 0.000 0.000 1.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 3 0.0000 0.955 0.000 0.000 1.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 3 0.0000 0.955 0.000 0.000 1.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0000 0.967 0.000 1.000 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 3 0.0000 0.955 0.000 0.000 1.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 2 0.0000 0.967 0.000 1.000 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.6045 0.529 0.620 0.380 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.0000 0.967 0.000 1.000 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.4002 0.835 0.840 0.160 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.0000 0.967 0.000 1.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.873 1.000 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.873 1.000 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.873 1.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0000 0.967 0.000 1.000 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.0000 0.967 0.000 1.000 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 2 0.0000 0.967 0.000 1.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 3 0.0000 0.955 0.000 0.000 1.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 3 0.0000 0.955 0.000 0.000 1.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0000 0.967 0.000 1.000 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.6215 0.269 0.000 0.428 0.572
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.873 1.000 0.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.0000 0.967 0.000 1.000 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 3 0.0000 0.955 0.000 0.000 1.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.4452 0.815 0.808 0.192 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0000 0.967 0.000 1.000 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 2 0.0000 0.967 0.000 1.000 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.0000 0.873 1.000 0.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.873 1.000 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.1031 0.952 0.000 0.976 0.024
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 2 0.0000 0.967 0.000 1.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0000 0.873 1.000 0.000 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.3686 0.842 0.860 0.140 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 3 0.6026 0.411 0.000 0.376 0.624
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.1031 0.952 0.000 0.976 0.024
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.873 1.000 0.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 2 0.0000 0.967 0.000 1.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 2 0.5058 0.665 0.000 0.756 0.244
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 2 0.0000 0.967 0.000 1.000 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.5098 0.673 0.752 0.248 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.4121 0.761 0.168 0.832 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 2 0.0000 0.967 0.000 1.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.6309 0.206 0.504 0.496 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.6204 0.262 0.000 0.576 0.424
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.5254 0.644 0.000 0.736 0.264
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.0000 0.873 1.000 0.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0000 0.967 0.000 1.000 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 2 0.0000 0.967 0.000 1.000 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 2 0.4555 0.704 0.200 0.800 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.1031 0.952 0.000 0.976 0.024
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.0000 0.873 1.000 0.000 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.4002 0.835 0.840 0.160 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.0000 0.967 0.000 1.000 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 3 0.0000 0.955 0.000 0.000 1.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.3551 0.804 0.868 0.132 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0000 0.967 0.000 1.000 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.873 1.000 0.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 3 0.0000 0.955 0.000 0.000 1.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 3 0.0000 0.955 0.000 0.000 1.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0000 0.967 0.000 1.000 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0424 0.872 0.992 0.008 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.1031 0.952 0.000 0.976 0.024
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.0000 0.967 0.000 1.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.3816 0.841 0.852 0.148 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.873 1.000 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 3 0.0000 0.955 0.000 0.000 1.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 0.0000 0.967 0.000 1.000 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0000 0.967 0.000 1.000 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 3 0.0000 0.955 0.000 0.000 1.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.3941 0.837 0.844 0.156 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.0000 0.967 0.000 1.000 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.4062 0.833 0.836 0.164 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.0000 0.967 0.000 1.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 2 0.3816 0.791 0.148 0.852 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.873 1.000 0.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.1031 0.952 0.000 0.976 0.024
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 2 0.0000 0.967 0.000 1.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.5905 0.587 0.648 0.352 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 2 0.5254 0.580 0.264 0.736 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.873 1.000 0.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.4121 0.832 0.832 0.168 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 1 0.5254 0.666 0.736 0.264 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.1031 0.952 0.000 0.976 0.024
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 3 0.0000 0.955 0.000 0.000 1.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.6062 0.521 0.616 0.384 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.0000 0.967 0.000 1.000 0.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 3 0.6192 0.258 0.000 0.420 0.580
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.3340 0.839 0.880 0.120 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.0000 0.967 0.000 1.000 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0000 0.967 0.000 1.000 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 3 0.0000 0.955 0.000 0.000 1.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.873 1.000 0.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 3 0.2796 0.866 0.000 0.092 0.908
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.1031 0.952 0.000 0.976 0.024
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 3 0.0000 0.955 0.000 0.000 1.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0424 0.872 0.992 0.008 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 3 0.0000 0.955 0.000 0.000 1.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.873 1.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.4399 0.818 0.812 0.188 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 2 0.0424 0.961 0.008 0.992 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.3879 0.838 0.848 0.152 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.4399 0.818 0.812 0.188 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.1031 0.952 0.000 0.976 0.024
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 3 0.0000 0.955 0.000 0.000 1.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.0000 0.967 0.000 1.000 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 3 0.0000 0.955 0.000 0.000 1.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 2 0.0000 0.967 0.000 1.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 3 0.0000 0.955 0.000 0.000 1.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.873 1.000 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.873 1.000 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.873 1.000 0.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.0000 0.967 0.000 1.000 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0000 0.967 0.000 1.000 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 2 0.0000 0.967 0.000 1.000 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.4399 0.818 0.812 0.188 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 3 0.0000 0.955 0.000 0.000 1.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.873 1.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.4399 0.818 0.812 0.188 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.3879 0.784 0.848 0.152 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 3 0.0000 0.955 0.000 0.000 1.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.4062 0.833 0.836 0.164 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.0000 0.873 1.000 0.000 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.0000 0.967 0.000 1.000 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 2 0.0000 0.967 0.000 1.000 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.1031 0.952 0.000 0.976 0.024
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 2 0.4178 0.751 0.172 0.828 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.0000 0.967 0.000 1.000 0.000
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.873 1.000 0.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.0000 0.967 0.000 1.000 0.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.4399 0.818 0.812 0.188 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0000 0.967 0.000 1.000 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.0000 0.967 0.000 1.000 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 2 0.1964 0.913 0.056 0.944 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.4399 0.818 0.812 0.188 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.6062 0.521 0.616 0.384 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 3 0.0000 0.955 0.000 0.000 1.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 2 0.0000 0.967 0.000 1.000 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.4399 0.818 0.812 0.188 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0747 0.957 0.000 0.984 0.016
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 3 0.0000 0.955 0.000 0.000 1.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.0000 0.967 0.000 1.000 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.0000 0.967 0.000 1.000 0.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.873 1.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.873 1.000 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.4062 0.833 0.836 0.164 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.873 1.000 0.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 0.873 1.000 0.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0000 0.967 0.000 1.000 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.3412 0.808 0.876 0.124 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.0000 0.967 0.000 1.000 0.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.4504 0.812 0.804 0.196 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 3 0.0000 0.955 0.000 0.000 1.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.4399 0.818 0.812 0.188 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.0000 0.967 0.000 1.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.0000 0.967 0.000 1.000 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.2625 0.894 0.000 0.916 0.084
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.6274 0.177 0.544 0.456 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 3 0.0000 0.955 0.000 0.000 1.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.0000 0.967 0.000 1.000 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.873 1.000 0.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.0000 0.967 0.000 1.000 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.1643 0.867 0.956 0.044 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0000 0.967 0.000 1.000 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.873 1.000 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.0000 0.967 0.000 1.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.0000 0.967 0.000 1.000 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 2 0.0000 0.967 0.000 1.000 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 3 0.0000 0.955 0.000 0.000 1.000
#> CC008807-7264-4593-966F-104992B35873 3 0.0000 0.955 0.000 0.000 1.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.873 1.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.873 1.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.4002 0.835 0.840 0.160 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 2 0.0000 0.967 0.000 1.000 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0237 0.873 0.996 0.004 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 2 0.0000 0.967 0.000 1.000 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.0000 0.873 1.000 0.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 3 0.0000 0.955 0.000 0.000 1.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.0892 0.955 0.000 0.980 0.020
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.873 1.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.873 1.000 0.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 2 0.0000 0.967 0.000 1.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0000 0.873 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.1557 0.946 0.944 0.000 0.000 0.056
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.1474 0.947 0.948 0.000 0.000 0.052
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 4 0.1661 0.910 0.052 0.000 0.004 0.944
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.1474 0.934 0.948 0.000 0.052 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 3 0.0188 0.960 0.004 0.000 0.996 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.1474 0.934 0.948 0.000 0.052 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.6345 0.192 0.052 0.520 0.004 0.424
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 3 0.0188 0.960 0.004 0.000 0.996 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.1557 0.946 0.944 0.000 0.000 0.056
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.0188 0.950 0.004 0.000 0.000 0.996
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0188 0.960 0.004 0.000 0.996 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 3 0.0188 0.960 0.004 0.000 0.996 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 4 0.2467 0.898 0.052 0.024 0.004 0.920
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.1474 0.934 0.948 0.000 0.052 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.2282 0.939 0.924 0.000 0.024 0.052
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.4776 0.392 0.000 0.624 0.000 0.376
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 4 0.0817 0.939 0.000 0.024 0.000 0.976
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 3 0.0188 0.960 0.004 0.000 0.996 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.4008 0.673 0.000 0.244 0.000 0.756
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 3 0.0188 0.960 0.004 0.000 0.996 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 4 0.3486 0.755 0.188 0.000 0.000 0.812
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.4624 0.522 0.660 0.000 0.000 0.340
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 4 0.4916 0.253 0.000 0.424 0.000 0.576
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 4 0.4164 0.636 0.000 0.264 0.000 0.736
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 3 0.0188 0.960 0.004 0.000 0.996 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 4 0.0188 0.950 0.004 0.000 0.000 0.996
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 4 0.0817 0.939 0.000 0.024 0.000 0.976
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 3 0.0188 0.960 0.004 0.000 0.996 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.1474 0.947 0.948 0.000 0.000 0.052
#> EFA708D5-586A-4184-B614-48AEFC5E8631 4 0.3266 0.787 0.000 0.000 0.168 0.832
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 3 0.0188 0.956 0.000 0.000 0.996 0.004
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 3 0.0188 0.960 0.004 0.000 0.996 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 3 0.0921 0.941 0.028 0.000 0.972 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 4 0.0817 0.939 0.000 0.024 0.000 0.976
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.1474 0.947 0.948 0.000 0.000 0.052
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 3 0.0188 0.960 0.004 0.000 0.996 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.1474 0.947 0.948 0.000 0.000 0.052
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 4 0.4888 0.316 0.000 0.000 0.412 0.588
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.1557 0.946 0.944 0.000 0.000 0.056
#> 3D3E5993-9E56-4A95-928E-012B62959711 4 0.1661 0.910 0.052 0.000 0.004 0.944
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.3311 0.777 0.172 0.000 0.000 0.828
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 3 0.0188 0.960 0.004 0.000 0.996 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 4 0.0817 0.939 0.000 0.024 0.000 0.976
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.1557 0.946 0.944 0.000 0.000 0.056
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.4804 0.355 0.384 0.000 0.000 0.616
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 3 0.0188 0.960 0.004 0.000 0.996 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.1474 0.947 0.948 0.000 0.000 0.052
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.1474 0.917 0.052 0.000 0.948 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 4 0.0817 0.939 0.000 0.024 0.000 0.976
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.1557 0.946 0.944 0.000 0.000 0.056
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.4907 0.271 0.000 0.580 0.000 0.420
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 3 0.1624 0.921 0.020 0.000 0.952 0.028
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.1474 0.934 0.948 0.000 0.052 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.2216 0.839 0.000 0.908 0.000 0.092
#> F7B2E263-F0AE-440E-96C5-139233079A06 4 0.0817 0.939 0.000 0.024 0.000 0.976
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.1474 0.934 0.948 0.000 0.052 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.1474 0.934 0.948 0.000 0.052 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.1557 0.946 0.944 0.000 0.000 0.056
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.4485 0.745 0.052 0.000 0.796 0.152
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.1474 0.947 0.948 0.000 0.000 0.052
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.1557 0.946 0.944 0.000 0.000 0.056
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 4 0.0817 0.939 0.000 0.024 0.000 0.976
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.0188 0.950 0.004 0.000 0.000 0.996
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.3942 0.714 0.764 0.000 0.236 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.1474 0.934 0.948 0.000 0.052 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 3 0.4072 0.648 0.252 0.000 0.748 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.1557 0.946 0.944 0.000 0.000 0.056
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.1474 0.934 0.948 0.000 0.052 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.1557 0.946 0.944 0.000 0.000 0.056
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 3 0.0188 0.960 0.004 0.000 0.996 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.3168 0.909 0.884 0.000 0.060 0.056
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.0188 0.960 0.004 0.000 0.996 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 57787823-A815-4783-930C-A5752E48FFBA 4 0.0817 0.939 0.000 0.024 0.000 0.976
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 4 0.3486 0.748 0.188 0.000 0.000 0.812
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.1474 0.934 0.948 0.000 0.052 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.1557 0.946 0.944 0.000 0.000 0.056
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.1557 0.907 0.056 0.000 0.000 0.944
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.1557 0.946 0.944 0.000 0.000 0.056
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.1557 0.946 0.944 0.000 0.000 0.056
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.1557 0.946 0.944 0.000 0.000 0.056
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 4 0.0592 0.943 0.000 0.016 0.000 0.984
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.1474 0.934 0.948 0.000 0.052 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.1557 0.932 0.944 0.000 0.056 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.1557 0.946 0.944 0.000 0.000 0.056
#> 8812DD6D-D245-4752-878F-496B164A21A3 3 0.4477 0.527 0.312 0.000 0.688 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.1557 0.932 0.944 0.000 0.056 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0188 0.960 0.004 0.000 0.996 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.2281 0.903 0.904 0.000 0.000 0.096
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.1557 0.946 0.944 0.000 0.000 0.056
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 4 0.3637 0.845 0.052 0.080 0.004 0.864
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.0188 0.956 0.000 0.000 0.996 0.004
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 3 0.0188 0.960 0.004 0.000 0.996 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.1724 0.944 0.948 0.000 0.020 0.032
#> EB818546-2380-480F-AA7A-529857F5912C 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.1474 0.934 0.948 0.000 0.052 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 4 0.5954 0.403 0.052 0.000 0.344 0.604
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.1474 0.934 0.948 0.000 0.052 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.2281 0.901 0.904 0.000 0.096 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.1474 0.947 0.948 0.000 0.000 0.052
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.1661 0.935 0.944 0.000 0.052 0.004
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.0188 0.960 0.004 0.000 0.996 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.945 0.000 1.000 0.000 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.0707 0.941 0.000 0.020 0.000 0.980
#> 67E92530-3B19-424C-B219-958A88909046 1 0.1474 0.934 0.948 0.000 0.052 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 3 0.0188 0.960 0.004 0.000 0.996 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.0000 0.952 0.000 0.000 0.000 1.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.2149 0.909 0.912 0.000 0.088 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.996 0.000 0.000 1.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.996 0.000 0.000 1.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 5 0.0162 0.952 0.000 0.000 0.000 0.004 0.996
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.996 0.000 0.000 1.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> AA838488-4A13-4998-B261-91590113F37D 4 0.0703 0.959 0.024 0.000 0.000 0.976 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.4150 0.325 0.000 0.612 0.000 0.000 0.388
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 5 0.0404 0.948 0.000 0.012 0.000 0.000 0.988
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 5 0.3395 0.674 0.000 0.236 0.000 0.000 0.764
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 5 0.3003 0.735 0.000 0.000 0.000 0.188 0.812
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 4 0.3707 0.511 0.000 0.000 0.000 0.716 0.284
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 5 0.4235 0.258 0.000 0.424 0.000 0.000 0.576
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 5 0.3586 0.633 0.000 0.264 0.000 0.000 0.736
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 5 0.0162 0.952 0.000 0.000 0.000 0.004 0.996
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 5 0.0404 0.948 0.000 0.012 0.000 0.000 0.988
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 5 0.3109 0.730 0.200 0.000 0.000 0.000 0.800
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0794 0.922 0.972 0.000 0.000 0.028 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 5 0.0404 0.948 0.000 0.012 0.000 0.000 0.988
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 5 0.4294 0.145 0.468 0.000 0.000 0.000 0.532
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.996 0.000 0.000 1.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 5 0.2852 0.758 0.000 0.000 0.000 0.172 0.828
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 5 0.0404 0.948 0.000 0.012 0.000 0.000 0.988
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 3E070741-BBA0-4806-8D74-08595E249252 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 5 0.4138 0.398 0.000 0.000 0.000 0.384 0.616
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0703 0.974 0.024 0.000 0.976 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 5 0.0404 0.948 0.000 0.012 0.000 0.000 0.988
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.4227 0.263 0.000 0.580 0.000 0.000 0.420
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0510 0.937 0.984 0.000 0.000 0.016 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.1908 0.822 0.000 0.908 0.000 0.000 0.092
#> F7B2E263-F0AE-440E-96C5-139233079A06 5 0.0404 0.948 0.000 0.012 0.000 0.000 0.988
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.996 0.000 0.000 1.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 5 0.0404 0.948 0.000 0.012 0.000 0.000 0.988
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 5 0.0162 0.952 0.000 0.000 0.000 0.004 0.996
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 4 0.2966 0.756 0.184 0.000 0.000 0.816 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.3707 0.539 0.716 0.000 0.000 0.284 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 4 0.1851 0.887 0.088 0.000 0.000 0.912 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 57787823-A815-4783-930C-A5752E48FFBA 5 0.0404 0.948 0.000 0.012 0.000 0.000 0.988
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 5 0.3305 0.669 0.000 0.000 0.000 0.224 0.776
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 5 0.1341 0.900 0.000 0.000 0.000 0.056 0.944
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 5 0.0290 0.950 0.000 0.008 0.000 0.000 0.992
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 4 0.0162 0.976 0.004 0.000 0.000 0.996 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.4045 0.426 0.644 0.000 0.000 0.356 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 4 0.0162 0.976 0.004 0.000 0.000 0.996 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 4 0.1043 0.928 0.000 0.000 0.000 0.960 0.040
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.996 0.000 0.000 1.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.996 0.000 0.000 1.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 4 0.1121 0.938 0.044 0.000 0.000 0.956 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.955 0.000 1.000 0.000 0.000 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 5 0.0404 0.948 0.000 0.012 0.000 0.000 0.988
#> 67E92530-3B19-424C-B219-958A88909046 4 0.0000 0.980 0.000 0.000 0.000 1.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.955 1.000 0.000 0.000 0.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 5 0.0000 0.955 0.000 0.000 0.000 0.000 1.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.0963 0.947 0.036 0.000 0.000 0.964 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 5 0.0000 0.8888 0.000 0.000 0.000 0.000 1.000 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 6 0.0146 0.9023 0.000 0.000 0.000 0.000 0.004 0.996
#> B626F298-622E-4C4F-8217-71D1234A6670 6 0.2048 0.8353 0.000 0.000 0.000 0.000 0.120 0.880
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 5 0.0000 0.8888 0.000 0.000 0.000 0.000 1.000 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 6 0.2048 0.8353 0.000 0.000 0.000 0.000 0.120 0.880
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 5 0.0547 0.8899 0.000 0.000 0.000 0.000 0.980 0.020
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 6 0.0790 0.8968 0.000 0.032 0.000 0.000 0.000 0.968
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.9959 0.000 0.000 1.000 0.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0458 0.9626 0.984 0.000 0.000 0.016 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 4 0.0146 0.9497 0.004 0.000 0.000 0.996 0.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.1814 0.8934 0.000 0.900 0.000 0.000 0.000 0.100
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 6 0.1556 0.8594 0.000 0.080 0.000 0.000 0.000 0.920
#> 851B9B77-547A-43CC-B939-428E0A26C67C 6 0.0146 0.9023 0.000 0.000 0.000 0.000 0.004 0.996
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 5 0.2219 0.8313 0.000 0.000 0.000 0.000 0.864 0.136
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.9959 0.000 0.000 1.000 0.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 4 0.0000 0.9512 0.000 0.000 0.000 1.000 0.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 5 0.0000 0.8888 0.000 0.000 0.000 0.000 1.000 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 2 0.0790 0.9083 0.032 0.968 0.000 0.000 0.000 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 4 0.0146 0.9503 0.000 0.000 0.000 0.996 0.000 0.004
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 4 0.0260 0.9466 0.008 0.000 0.000 0.992 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.9959 0.000 0.000 1.000 0.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0937 0.9436 0.960 0.000 0.000 0.040 0.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 6 0.0146 0.9023 0.000 0.000 0.000 0.000 0.004 0.996
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.2260 0.8714 0.000 0.860 0.000 0.000 0.000 0.140
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 4 0.0000 0.9512 0.000 0.000 0.000 1.000 0.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 6 0.0291 0.9034 0.000 0.004 0.000 0.000 0.004 0.992
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 4 0.0146 0.9503 0.000 0.000 0.000 0.996 0.000 0.004
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.2092 0.8192 0.124 0.876 0.000 0.000 0.000 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.3620 0.4287 0.648 0.352 0.000 0.000 0.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 6 0.0146 0.9021 0.000 0.004 0.000 0.000 0.000 0.996
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.4242 0.7432 0.000 0.736 0.000 0.000 0.128 0.136
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 4 0.0000 0.9512 0.000 0.000 0.000 1.000 0.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.2219 0.8742 0.000 0.864 0.000 0.000 0.000 0.136
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.0000 0.9512 0.000 0.000 0.000 1.000 0.000 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.2933 0.7103 0.000 0.796 0.000 0.200 0.000 0.004
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 5 0.0458 0.8903 0.000 0.000 0.000 0.000 0.984 0.016
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 4 0.0291 0.9489 0.004 0.000 0.000 0.992 0.000 0.004
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.2048 0.8838 0.000 0.880 0.000 0.000 0.000 0.120
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 4 0.0000 0.9512 0.000 0.000 0.000 1.000 0.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 5 0.0000 0.8888 0.000 0.000 0.000 0.000 1.000 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 5 0.0000 0.8888 0.000 0.000 0.000 0.000 1.000 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.2003 0.8859 0.000 0.884 0.000 0.000 0.000 0.116
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.0865 0.9150 0.036 0.000 0.000 0.964 0.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.2219 0.8742 0.000 0.864 0.000 0.000 0.000 0.136
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.1444 0.9039 0.000 0.928 0.000 0.000 0.000 0.072
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 4 0.0000 0.9512 0.000 0.000 0.000 1.000 0.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 6 0.2416 0.8080 0.000 0.000 0.000 0.000 0.156 0.844
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 5 0.0000 0.8888 0.000 0.000 0.000 0.000 1.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.3986 0.0999 0.000 0.532 0.000 0.464 0.000 0.004
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.9959 0.000 0.000 1.000 0.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 2 0.2378 0.8029 0.152 0.848 0.000 0.000 0.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 4 0.0000 0.9512 0.000 0.000 0.000 1.000 0.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.2219 0.8742 0.000 0.864 0.000 0.000 0.000 0.136
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0260 0.9663 0.992 0.008 0.000 0.000 0.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 2 0.3482 0.5232 0.316 0.684 0.000 0.000 0.000 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 4 0.0000 0.9512 0.000 0.000 0.000 1.000 0.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0632 0.9712 0.000 0.000 0.976 0.024 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 6 0.0146 0.9021 0.000 0.004 0.000 0.000 0.000 0.996
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 5 0.0458 0.8903 0.000 0.000 0.000 0.000 0.984 0.016
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.1501 0.9031 0.000 0.924 0.000 0.000 0.000 0.076
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 5 0.5560 0.0539 0.000 0.420 0.000 0.000 0.444 0.136
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.1003 0.9236 0.020 0.016 0.000 0.964 0.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.0146 0.9174 0.000 0.996 0.000 0.000 0.000 0.004
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.1910 0.8899 0.000 0.892 0.000 0.000 0.000 0.108
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 5 0.0547 0.8899 0.000 0.000 0.000 0.000 0.980 0.020
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 5 0.3967 0.7127 0.000 0.092 0.000 0.000 0.760 0.148
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.2219 0.8742 0.000 0.864 0.000 0.000 0.000 0.136
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 6 0.2048 0.8353 0.000 0.000 0.000 0.000 0.120 0.880
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 5 0.0000 0.8888 0.000 0.000 0.000 0.000 1.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0146 0.9701 0.996 0.000 0.000 0.004 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.9959 0.000 0.000 1.000 0.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0790 0.9454 0.968 0.032 0.000 0.000 0.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.2219 0.8742 0.000 0.864 0.000 0.000 0.000 0.136
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.0547 0.8899 0.000 0.000 0.000 0.000 0.980 0.020
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 5 0.0000 0.8888 0.000 0.000 0.000 0.000 1.000 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 6 0.3041 0.7898 0.040 0.128 0.000 0.000 0.000 0.832
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 5 0.0458 0.8903 0.000 0.000 0.000 0.000 0.984 0.016
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.2631 0.7742 0.820 0.000 0.000 0.180 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0547 0.9598 0.980 0.000 0.000 0.020 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.3351 0.5415 0.288 0.000 0.000 0.712 0.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.2003 0.8859 0.000 0.884 0.000 0.000 0.000 0.116
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.2003 0.8859 0.000 0.884 0.000 0.000 0.000 0.116
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 6 0.1983 0.8620 0.020 0.072 0.000 0.000 0.000 0.908
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 5 0.2340 0.8245 0.000 0.000 0.000 0.000 0.852 0.148
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 4 0.0260 0.9451 0.000 0.008 0.000 0.992 0.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 5 0.2219 0.8313 0.000 0.000 0.000 0.000 0.864 0.136
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.2962 0.8250 0.848 0.068 0.000 0.084 0.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 4 0.0000 0.9512 0.000 0.000 0.000 1.000 0.000 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.3634 0.5801 0.000 0.644 0.000 0.000 0.000 0.356
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 2 0.2969 0.6504 0.224 0.776 0.000 0.000 0.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 2 0.0790 0.9034 0.032 0.968 0.000 0.000 0.000 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 6 0.0146 0.9023 0.000 0.000 0.000 0.000 0.004 0.996
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.2135 0.8793 0.000 0.872 0.000 0.000 0.000 0.128
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 5 0.0713 0.8882 0.000 0.000 0.000 0.000 0.972 0.028
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0790 0.9504 0.968 0.000 0.000 0.032 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.0865 0.9417 0.964 0.036 0.000 0.000 0.000 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.3620 0.4373 0.352 0.000 0.000 0.648 0.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0790 0.9504 0.968 0.000 0.000 0.032 0.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 4 0.0146 0.9503 0.000 0.000 0.000 0.996 0.000 0.004
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.1444 0.9039 0.000 0.928 0.000 0.000 0.000 0.072
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 6 0.2482 0.7439 0.148 0.004 0.000 0.000 0.000 0.848
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 5 0.2219 0.8328 0.000 0.000 0.000 0.000 0.864 0.136
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.1444 0.9039 0.000 0.928 0.000 0.000 0.000 0.072
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.2003 0.8859 0.000 0.884 0.000 0.000 0.000 0.116
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.9959 0.000 0.000 1.000 0.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 4 0.0508 0.9398 0.000 0.012 0.000 0.984 0.000 0.004
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 5 0.3464 0.5037 0.000 0.000 0.000 0.000 0.688 0.312
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 6 0.0865 0.8950 0.000 0.036 0.000 0.000 0.000 0.964
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 4 0.0146 0.9497 0.004 0.000 0.000 0.996 0.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.1444 0.9039 0.000 0.928 0.000 0.000 0.000 0.072
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.9959 0.000 0.000 1.000 0.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.1444 0.9039 0.000 0.928 0.000 0.000 0.000 0.072
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 2 0.1444 0.9039 0.000 0.928 0.000 0.000 0.000 0.072
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 5 0.0000 0.8888 0.000 0.000 0.000 0.000 1.000 0.000
#> CC008807-7264-4593-966F-104992B35873 5 0.2260 0.8294 0.000 0.000 0.000 0.000 0.860 0.140
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.1327 0.9203 0.936 0.000 0.000 0.064 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 2 0.0000 0.9191 0.000 1.000 0.000 0.000 0.000 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 6 0.0713 0.8974 0.000 0.028 0.000 0.000 0.000 0.972
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 4 0.0000 0.9512 0.000 0.000 0.000 1.000 0.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 5 0.2219 0.8313 0.000 0.000 0.000 0.000 0.864 0.136
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.2340 0.8655 0.000 0.852 0.000 0.000 0.000 0.148
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.9724 1.000 0.000 0.000 0.000 0.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.0000 0.9512 0.000 0.000 0.000 1.000 0.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 2 0.0790 0.9083 0.032 0.968 0.000 0.000 0.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.1141 0.9332 0.948 0.000 0.000 0.052 0.000 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17604 rows and 183 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 0.988 0.996 0.1310 0.867 0.867
#> 3 3 0.530 0.771 0.896 2.9055 0.550 0.499
#> 4 4 0.584 0.680 0.828 0.0798 0.593 0.386
#> 5 5 0.578 0.666 0.838 0.1660 0.845 0.688
#> 6 6 0.746 0.733 0.865 0.1309 0.868 0.678
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0938 0.9508 0.012 0.988
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.0000 0.9983 1.000 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.0000 0.9983 1.000 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 1 0.0000 0.9983 1.000 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.0000 0.9983 1.000 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 1 0.0000 0.9983 1.000 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 1 0.0000 0.9983 1.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.0000 0.9983 1.000 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.9983 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.0000 0.9983 1.000 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.9983 1.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.0000 0.9544 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.9983 1.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.9983 1.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.9983 1.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 1 0.0000 0.9983 1.000 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 1 0.0000 0.9983 1.000 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 0.9983 1.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 1 0.0000 0.9983 1.000 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 1 0.0000 0.9983 1.000 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 1 0.0000 0.9983 1.000 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.0000 0.9544 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.9983 1.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.0000 0.9983 1.000 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0938 0.9508 0.012 0.988
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.9983 1.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 1 0.0000 0.9983 1.000 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.0000 0.9983 1.000 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.0000 0.9983 1.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.9983 1.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.0000 0.9544 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0000 0.9983 1.000 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0000 0.9983 1.000 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 0.9983 1.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.0000 0.9983 1.000 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 1 0.0000 0.9983 1.000 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.9983 1.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0000 0.9983 1.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.0000 0.9983 1.000 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.0000 0.9983 1.000 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.0000 0.9983 1.000 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 1 0.0000 0.9983 1.000 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.9983 1.000 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0000 0.9983 1.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 1 0.0000 0.9983 1.000 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 1 0.0000 0.9983 1.000 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.0000 0.9983 1.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 1 0.0000 0.9983 1.000 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.0000 0.9983 1.000 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.9983 1.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 1 0.0000 0.9983 1.000 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.0000 0.9983 1.000 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.9983 1.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 1 0.0000 0.9983 1.000 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 1 0.0000 0.9983 1.000 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.0000 0.9983 1.000 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 1 0.0000 0.9983 1.000 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.9983 1.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 1 0.0000 0.9983 1.000 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 1 0.0000 0.9983 1.000 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 1 0.0000 0.9983 1.000 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0000 0.9983 1.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 1 0.0000 0.9983 1.000 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.0000 0.9983 1.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.9983 1.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.9983 1.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.0000 0.9983 1.000 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.0000 0.9983 1.000 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 1 0.0000 0.9983 1.000 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 1.0000 0.0187 0.496 0.504
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.9983 1.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 1 0.0000 0.9983 1.000 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.9983 1.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.0000 0.9544 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.9983 1.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.9983 1.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 1 0.0000 0.9983 1.000 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0000 0.9983 1.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.9983 1.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.0000 0.9983 1.000 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.9983 1.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.9983 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.0000 0.9544 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.0000 0.9983 1.000 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 1 0.0000 0.9983 1.000 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.9983 1.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 1 0.0000 0.9983 1.000 0.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 1 0.0000 0.9983 1.000 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0000 0.9983 1.000 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 1 0.0000 0.9983 1.000 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 1 0.0000 0.9983 1.000 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 1 0.0000 0.9983 1.000 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.9983 1.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 1 0.0000 0.9983 1.000 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 1 0.0000 0.9983 1.000 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.0000 0.9983 1.000 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0000 0.9983 1.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0938 0.9508 0.012 0.988
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.9983 1.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.9983 1.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 2 0.0000 0.9544 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.9983 1.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.9983 1.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 1 0.0000 0.9983 1.000 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 1 0.8499 0.5943 0.724 0.276
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.0000 0.9983 1.000 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 1 0.0000 0.9983 1.000 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0000 0.9983 1.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 1 0.0000 0.9983 1.000 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.9983 1.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.9983 1.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.9983 1.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 1 0.0000 0.9983 1.000 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 1 0.0000 0.9983 1.000 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0000 0.9983 1.000 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.9983 1.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 1 0.0000 0.9983 1.000 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.9983 1.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0000 0.9983 1.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.0000 0.9983 1.000 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 1 0.0000 0.9983 1.000 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0000 0.9983 1.000 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.0000 0.9983 1.000 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.0000 0.9983 1.000 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.0000 0.9983 1.000 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 1 0.0000 0.9983 1.000 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0000 0.9983 1.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 1 0.0000 0.9983 1.000 0.000
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.9983 1.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 1 0.0000 0.9983 1.000 0.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.9983 1.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 1 0.0000 0.9983 1.000 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 1 0.0000 0.9983 1.000 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.0000 0.9983 1.000 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.9983 1.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0000 0.9983 1.000 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.0000 0.9983 1.000 0.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.0000 0.9983 1.000 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.9983 1.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 1 0.0000 0.9983 1.000 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0938 0.9508 0.012 0.988
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 1 0.0000 0.9983 1.000 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.0000 0.9983 1.000 0.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.9983 1.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.9983 1.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.0000 0.9983 1.000 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.9983 1.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 0.9983 1.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 1 0.0000 0.9983 1.000 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.0000 0.9983 1.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 1 0.0000 0.9983 1.000 0.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.9983 1.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 1 0.0000 0.9983 1.000 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.9983 1.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.0000 0.9983 1.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 1 0.0000 0.9983 1.000 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.0000 0.9544 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.0000 0.9983 1.000 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 1 0.0000 0.9983 1.000 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.0000 0.9983 1.000 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.9983 1.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 1 0.0000 0.9983 1.000 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.9983 1.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 1 0.0000 0.9983 1.000 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.9983 1.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.0000 0.9544 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 1 0.0000 0.9983 1.000 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.0000 0.9983 1.000 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 1 0.0000 0.9983 1.000 0.000
#> CC008807-7264-4593-966F-104992B35873 1 0.0000 0.9983 1.000 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.9983 1.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.9983 1.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.9983 1.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.0000 0.9983 1.000 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0000 0.9983 1.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.0000 0.9983 1.000 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.0000 0.9983 1.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 1 0.0000 0.9983 1.000 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.0000 0.9983 1.000 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.9983 1.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.9983 1.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.9983 1.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0000 0.9983 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.3340 0.7832 0.000 0.880 0.120
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.4002 0.7864 0.160 0.840 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.4399 0.7639 0.188 0.812 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.8539 0.000 1.000 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.5621 0.6031 0.308 0.692 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.2448 0.8442 0.076 0.924 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.8539 0.000 1.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.5859 0.4270 0.656 0.344 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.8587 1.000 0.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.1529 0.8541 0.040 0.960 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.8587 1.000 0.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 1.0000 0.000 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.6225 0.1835 0.568 0.432 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.4291 0.7271 0.820 0.180 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.8587 1.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0237 0.8556 0.004 0.996 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.0237 0.8556 0.004 0.996 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0892 0.8484 0.980 0.020 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.3551 0.8096 0.132 0.868 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0000 0.8539 0.000 1.000 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0237 0.8556 0.004 0.996 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 1.0000 0.000 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 2 0.5529 0.6510 0.296 0.704 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.0237 0.8572 0.996 0.004 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.4291 0.7358 0.000 0.820 0.180
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.8587 1.000 0.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0237 0.8556 0.004 0.996 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.5859 0.4270 0.656 0.344 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 2 0.5497 0.6553 0.292 0.708 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.8587 1.000 0.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 1.0000 0.000 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 2 0.6008 0.5249 0.372 0.628 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0000 0.8587 1.000 0.000 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 0.8587 1.000 0.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.6260 0.1041 0.552 0.448 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.2165 0.8433 0.064 0.936 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 2 0.5529 0.6510 0.296 0.704 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0237 0.8572 0.996 0.004 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.5859 0.4270 0.656 0.344 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.6225 0.1461 0.568 0.432 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.5465 0.6596 0.288 0.712 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.1753 0.8530 0.048 0.952 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.1163 0.8402 0.972 0.028 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.4291 0.7098 0.820 0.180 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.4555 0.7439 0.200 0.800 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.8539 0.000 1.000 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 2 0.5497 0.6553 0.292 0.708 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0237 0.8556 0.004 0.996 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 2 0.5859 0.5787 0.344 0.656 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0237 0.8567 0.996 0.004 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.0237 0.8556 0.004 0.996 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 2 0.5529 0.6510 0.296 0.704 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.8587 1.000 0.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.0237 0.8556 0.004 0.996 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.8539 0.000 1.000 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 2 0.5529 0.6510 0.296 0.704 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0237 0.8556 0.004 0.996 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 2 0.5529 0.6510 0.296 0.704 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.8539 0.000 1.000 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.8539 0.000 1.000 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0000 0.8539 0.000 1.000 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 2 0.5810 0.5943 0.336 0.664 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0237 0.8556 0.004 0.996 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.5497 0.6526 0.292 0.708 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.8587 1.000 0.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.6126 0.2708 0.600 0.400 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.3192 0.8183 0.112 0.888 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 0.3941 0.8010 0.156 0.844 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0237 0.8556 0.004 0.996 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.8539 0.000 1.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.8587 1.000 0.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.1753 0.8530 0.048 0.952 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.8587 1.000 0.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 1.0000 0.000 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.8587 1.000 0.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 2 0.5706 0.6191 0.320 0.680 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0000 0.8539 0.000 1.000 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.4842 0.6634 0.776 0.224 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.8587 1.000 0.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 2 0.5733 0.6133 0.324 0.676 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 2 0.5529 0.6510 0.296 0.704 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.8587 1.000 0.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 1.0000 0.000 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.2261 0.8470 0.068 0.932 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0000 0.8539 0.000 1.000 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.8587 1.000 0.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.6140 0.4082 0.404 0.596 0.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0000 0.8539 0.000 1.000 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 2 0.5760 0.6072 0.328 0.672 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.0237 0.8556 0.004 0.996 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0237 0.8556 0.004 0.996 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.8539 0.000 1.000 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.8587 1.000 0.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0000 0.8539 0.000 1.000 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0237 0.8556 0.004 0.996 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.5291 0.6567 0.268 0.732 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.2878 0.7964 0.904 0.096 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.4291 0.7358 0.000 0.820 0.180
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.8587 1.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.8587 1.000 0.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 1.0000 0.000 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.8587 1.000 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.8587 1.000 0.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0000 0.8539 0.000 1.000 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0000 0.8539 0.000 1.000 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.5465 0.6703 0.288 0.712 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.8539 0.000 1.000 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0000 0.8587 1.000 0.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.8539 0.000 1.000 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.8587 1.000 0.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.8587 1.000 0.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.8587 1.000 0.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.2625 0.8399 0.084 0.916 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0237 0.8556 0.004 0.996 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.4750 0.6736 0.784 0.216 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.8587 1.000 0.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0000 0.8539 0.000 1.000 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.8587 1.000 0.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.2625 0.8060 0.916 0.084 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 2 0.5529 0.6510 0.296 0.704 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.8539 0.000 1.000 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 2 0.5810 0.5943 0.336 0.664 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 2 0.5465 0.6596 0.288 0.712 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.1860 0.8517 0.052 0.948 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 2 0.6299 0.1712 0.476 0.524 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.0237 0.8552 0.004 0.996 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0747 0.8489 0.984 0.016 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.0747 0.8558 0.016 0.984 0.000
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.3686 0.7615 0.860 0.140 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.0237 0.8556 0.004 0.996 0.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.8587 1.000 0.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.2261 0.8465 0.068 0.932 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.0237 0.8556 0.004 0.996 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 2 0.5363 0.6860 0.276 0.724 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.8587 1.000 0.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0000 0.8587 1.000 0.000 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.2796 0.8371 0.092 0.908 0.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 2 0.3412 0.8170 0.124 0.876 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.8587 1.000 0.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0237 0.8556 0.004 0.996 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.4235 0.7393 0.000 0.824 0.176
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.0747 0.8559 0.016 0.984 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.2711 0.8389 0.088 0.912 0.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.8587 1.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.8587 1.000 0.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 2 0.5363 0.6711 0.276 0.724 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 2 0.5988 0.5313 0.368 0.632 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 0.8587 1.000 0.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0237 0.8556 0.004 0.996 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.5465 0.6596 0.288 0.712 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.0424 0.8559 0.008 0.992 0.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.8587 1.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0237 0.8556 0.004 0.996 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.8587 1.000 0.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.3482 0.8189 0.128 0.872 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.0892 0.8559 0.020 0.980 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 1.0000 0.000 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.5098 0.6969 0.248 0.752 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.1643 0.8489 0.044 0.956 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.6260 0.0988 0.552 0.448 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.6235 0.1716 0.564 0.436 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.0237 0.8556 0.004 0.996 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.8587 1.000 0.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0237 0.8556 0.004 0.996 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.8587 1.000 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 1.0000 0.000 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.0892 0.8557 0.020 0.980 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 2 0.4605 0.7543 0.204 0.796 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.8539 0.000 1.000 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0237 0.8556 0.004 0.996 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.8587 1.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.8587 1.000 0.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.5859 0.4287 0.656 0.344 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.3038 0.7899 0.896 0.104 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0000 0.8587 1.000 0.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.5905 0.4060 0.648 0.352 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 2 0.5529 0.6510 0.296 0.704 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.8539 0.000 1.000 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.3267 0.8198 0.116 0.884 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.5363 0.5758 0.724 0.276 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 2 0.5810 0.5943 0.336 0.664 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0237 0.8572 0.996 0.004 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.5859 0.4241 0.656 0.344 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.4888 0.2976 0.000 0.588 0 0.412
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.4072 0.6721 0.748 0.252 0 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.3975 0.6861 0.760 0.240 0 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0592 0.6819 0.000 0.984 0 0.016
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.3074 0.7717 0.848 0.152 0 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 1 0.4454 0.6005 0.692 0.308 0 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.1489 0.6388 0.044 0.952 0 0.004
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.1474 0.8433 0.948 0.052 0 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 1 0.5750 0.2754 0.532 0.440 0 0.028
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.8551 1.000 0.000 0 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 1.0000 0.000 0.000 1 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.2751 0.8088 0.904 0.056 0 0.040
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.1398 0.8417 0.956 0.004 0 0.040
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.8551 1.000 0.000 0 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 4 0.4977 0.5271 0.000 0.460 0 0.540
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 4 0.4981 0.5209 0.000 0.464 0 0.536
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.1211 0.8477 0.960 0.040 0 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 1 0.4193 0.6525 0.732 0.268 0 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.1557 0.6647 0.000 0.944 0 0.056
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0336 0.6797 0.000 0.992 0 0.008
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 1.0000 0.000 0.000 1 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 4 0.6627 0.6062 0.300 0.112 0 0.588
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.4888 0.2976 0.000 0.588 0 0.412
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 4 0.4977 0.5271 0.000 0.460 0 0.540
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.1302 0.8462 0.956 0.044 0 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 4 0.6773 0.6236 0.276 0.136 0 0.588
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 1.0000 0.000 0.000 1 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.0921 0.8512 0.972 0.028 0 0.000
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0000 0.8551 1.000 0.000 0 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 0.8551 1.000 0.000 0 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.1716 0.8374 0.936 0.064 0 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 1 0.4222 0.6476 0.728 0.272 0 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 4 0.5050 0.4601 0.408 0.004 0 0.588
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.1211 0.8477 0.960 0.040 0 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.1474 0.8433 0.948 0.052 0 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.1302 0.8462 0.956 0.044 0 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 4 0.6828 0.6260 0.264 0.148 0 0.588
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 1 0.7506 0.0345 0.484 0.308 0 0.208
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0000 0.8551 1.000 0.000 0 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0336 0.8547 0.992 0.008 0 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 1 0.3528 0.7354 0.808 0.192 0 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0592 0.6785 0.000 0.984 0 0.016
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 4 0.6851 0.6263 0.268 0.148 0 0.584
#> 081452CB-9401-4678-9BA2-431CB2ECF105 4 0.4977 0.5271 0.000 0.460 0 0.540
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.1389 0.8446 0.952 0.048 0 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.0188 0.6821 0.000 0.996 0 0.004
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.6501 0.5882 0.316 0.096 0 0.588
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.8551 1.000 0.000 0 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 4 0.4977 0.5271 0.000 0.460 0 0.540
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.6838 0.000 1.000 0 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.2443 0.8134 0.916 0.060 0 0.024
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.4761 0.2318 0.332 0.664 0 0.004
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 4 0.5050 0.4601 0.408 0.004 0 0.588
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.3172 0.5758 0.000 0.840 0 0.160
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0592 0.6819 0.000 0.984 0 0.016
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0188 0.6821 0.000 0.996 0 0.004
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.1302 0.8471 0.956 0.044 0 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.5168 -0.1675 0.492 0.504 0 0.004
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.3528 0.7356 0.808 0.192 0 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.1398 0.8417 0.956 0.004 0 0.040
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.4164 0.6575 0.736 0.264 0 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.4164 0.6602 0.736 0.264 0 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 4 0.4977 0.5271 0.000 0.460 0 0.540
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.4643 0.4063 0.000 0.656 0 0.344
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 4 0.6966 0.5985 0.132 0.328 0 0.540
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 1.0000 0.000 0.000 1 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.3448 0.6972 0.828 0.004 0 0.168
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0336 0.6838 0.000 0.992 0 0.008
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.1118 0.8489 0.964 0.036 0 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.1975 0.8390 0.936 0.048 0 0.016
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 4 0.6171 0.5474 0.348 0.064 0 0.588
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.8551 1.000 0.000 0 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 1.0000 0.000 0.000 1 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.4907 0.3812 0.580 0.420 0 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.4936 0.1940 0.372 0.624 0 0.004
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 1 0.1940 0.8304 0.924 0.076 0 0.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0707 0.6755 0.000 0.980 0 0.020
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.1798 0.8425 0.944 0.040 0 0.016
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 4 0.4981 0.5209 0.000 0.464 0 0.536
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 4 0.5147 0.5176 0.004 0.460 0 0.536
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.1118 0.6737 0.000 0.964 0 0.036
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0188 0.6821 0.004 0.996 0 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 1 0.6277 0.1151 0.476 0.468 0 0.056
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.3266 0.7576 0.832 0.168 0 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.4888 0.2976 0.000 0.588 0 0.412
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 1.0000 0.000 0.000 1 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.8551 1.000 0.000 0 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0000 0.6838 0.000 1.000 0 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.4713 0.3830 0.000 0.640 0 0.360
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.1389 0.8446 0.952 0.048 0 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 1 0.5764 0.2293 0.520 0.452 0 0.028
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0188 0.8552 0.996 0.004 0 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0188 0.6841 0.000 0.996 0 0.004
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.8551 1.000 0.000 0 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.8551 1.000 0.000 0 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 1 0.4830 0.4456 0.608 0.392 0 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.1211 0.6483 0.000 0.960 0 0.040
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.1211 0.8477 0.960 0.040 0 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.8551 1.000 0.000 0 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0000 0.6838 0.000 1.000 0 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0188 0.8549 0.996 0.004 0 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 4 0.6855 0.6173 0.292 0.136 0 0.572
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0188 0.6841 0.000 0.996 0 0.004
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.0336 0.8547 0.992 0.008 0 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 4 0.6654 0.5955 0.116 0.296 0 0.588
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 1 0.4933 0.3559 0.568 0.432 0 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.3942 0.6892 0.764 0.236 0 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.0000 0.6838 0.000 1.000 0 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0000 0.8551 1.000 0.000 0 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.7640 -0.0889 0.296 0.464 0 0.240
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0188 0.8549 0.996 0.004 0 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 4 0.4977 0.5271 0.000 0.460 0 0.540
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 1 0.6799 0.0937 0.464 0.440 0 0.096
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.6811 0.0573 0.404 0.496 0 0.100
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.1792 0.8362 0.932 0.068 0 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.8551 1.000 0.000 0 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.4790 0.4705 0.620 0.380 0 0.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 1 0.6276 0.1286 0.480 0.464 0 0.056
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.2281 0.5700 0.000 0.904 0 0.096
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.4888 0.2976 0.000 0.588 0 0.412
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 4 0.6925 0.5669 0.128 0.328 0 0.544
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 1 0.3975 0.6874 0.760 0.240 0 0.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.8551 1.000 0.000 0 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 2 0.2214 0.6211 0.028 0.928 0 0.044
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0188 0.8549 0.996 0.004 0 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 0.8551 1.000 0.000 0 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 4 0.4977 0.5271 0.000 0.460 0 0.540
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 4 0.6948 0.6178 0.208 0.204 0 0.588
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 1 0.5774 0.2032 0.508 0.464 0 0.028
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 1 0.4996 0.2136 0.516 0.484 0 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.4855 0.4282 0.600 0.400 0 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 1 0.4401 0.6447 0.724 0.272 0 0.004
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 1.0000 0.000 0.000 1 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 4 0.4898 0.5314 0.000 0.416 0 0.584
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 1 0.4643 0.5347 0.656 0.344 0 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.1389 0.8446 0.952 0.048 0 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.2908 0.8014 0.896 0.064 0 0.040
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 1 0.5281 0.2505 0.528 0.464 0 0.008
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.8551 1.000 0.000 0 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.6869 0.0967 0.304 0.564 0 0.132
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.8551 1.000 0.000 0 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 1.0000 0.000 0.000 1 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 1 0.4977 0.2804 0.540 0.460 0 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.3764 0.7115 0.784 0.216 0 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.1302 0.6718 0.000 0.956 0 0.044
#> CC008807-7264-4593-966F-104992B35873 2 0.4916 0.0842 0.424 0.576 0 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.8551 1.000 0.000 0 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0817 0.8483 0.976 0.000 0 0.024
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0188 0.8549 0.996 0.004 0 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.1302 0.8462 0.956 0.044 0 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0000 0.8551 1.000 0.000 0 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.1474 0.8433 0.948 0.052 0 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 4 0.6654 0.6096 0.296 0.116 0 0.588
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0921 0.6788 0.000 0.972 0 0.028
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.3649 0.7236 0.796 0.204 0 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0188 0.8549 0.996 0.004 0 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.1209 0.8452 0.964 0.004 0 0.032
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0336 0.8548 0.992 0.008 0 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0000 0.8551 1.000 0.000 0 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 5 0.2020 0.8817 0.000 0.100 0 0.000 0.900
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 4 0.6052 0.5404 0.024 0.088 0 0.592 0.296
#> B626F298-622E-4C4F-8217-71D1234A6670 4 0.6004 0.5455 0.024 0.084 0 0.596 0.296
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.1121 0.6908 0.000 0.956 0 0.000 0.044
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.6891 0.4358 0.024 0.184 0 0.496 0.296
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 4 0.5573 0.2819 0.024 0.460 0 0.488 0.028
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0794 0.6977 0.000 0.972 0 0.000 0.028
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 4 0.4843 0.6340 0.008 0.036 0 0.676 0.280
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.0000 0.8267 0.000 0.000 0 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.5439 0.2253 0.032 0.596 0 0.348 0.024
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.0798 0.8270 0.008 0.000 0 0.976 0.016
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 1.0000 0.000 0.000 1 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 4 0.1851 0.7998 0.088 0.000 0 0.912 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 4 0.1544 0.8090 0.068 0.000 0 0.932 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 4 0.0898 0.8269 0.008 0.000 0 0.972 0.020
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.4564 0.3899 0.372 0.612 0 0.000 0.016
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.3419 0.5691 0.180 0.804 0 0.000 0.016
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 4 0.3876 0.7118 0.000 0.032 0 0.776 0.192
#> 851B9B77-547A-43CC-B939-428E0A26C67C 4 0.6145 0.5313 0.024 0.096 0 0.584 0.296
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.2929 0.5768 0.000 0.820 0 0.000 0.180
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0290 0.6992 0.000 0.992 0 0.000 0.008
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 1.0000 0.000 0.000 1 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0703 0.7407 0.976 0.000 0 0.024 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.0609 0.8249 0.000 0.000 0 0.980 0.020
#> 482285EC-BA43-441D-9986-7937B61A81D1 5 0.2020 0.8817 0.000 0.100 0 0.000 0.900
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.0000 0.8267 0.000 0.000 0 1.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.4494 0.3861 0.380 0.608 0 0.000 0.012
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.2511 0.7944 0.000 0.080 0 0.892 0.028
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.0703 0.7385 0.976 0.000 0 0.024 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 4 0.0798 0.8270 0.008 0.000 0 0.976 0.016
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 1.0000 0.000 0.000 1 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.4573 0.6797 0.024 0.228 0 0.728 0.020
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.0579 0.8271 0.008 0.000 0 0.984 0.008
#> AA838488-4A13-4998-B261-91590113F37D 4 0.0898 0.8269 0.008 0.000 0 0.972 0.020
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 4 0.5170 0.6026 0.012 0.044 0 0.648 0.296
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 4 0.5743 0.4521 0.024 0.360 0 0.568 0.048
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.4448 -0.1159 0.516 0.004 0 0.480 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.0703 0.8242 0.000 0.000 0 0.976 0.024
#> C6D88493-258C-481E-B3A4-75DA86C25C43 4 0.5066 0.6065 0.008 0.044 0 0.652 0.296
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.3489 0.7577 0.000 0.144 0 0.820 0.036
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.1469 0.7381 0.948 0.016 0 0.036 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.6264 -0.0708 0.080 0.484 0 0.412 0.024
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 4 0.0510 0.8262 0.000 0.016 0 0.984 0.000
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 4 0.2604 0.7915 0.020 0.072 0 0.896 0.012
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 4 0.6939 0.4230 0.024 0.192 0 0.488 0.296
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0880 0.6970 0.000 0.968 0 0.000 0.032
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.1981 0.6917 0.920 0.064 0 0.016 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.4718 0.2754 0.444 0.540 0 0.000 0.016
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.4209 0.7055 0.004 0.224 0 0.744 0.028
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 4 0.0000 0.8267 0.000 0.000 0 1.000 0.000
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.0404 0.6997 0.000 0.988 0 0.000 0.012
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.1197 0.7315 0.952 0.000 0 0.048 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.0290 0.8268 0.008 0.000 0 0.992 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.4666 0.3368 0.412 0.572 0 0.000 0.016
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.3508 0.4410 0.000 0.748 0 0.000 0.252
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 4 0.3682 0.7588 0.072 0.108 0 0.820 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0510 0.6994 0.000 0.984 0 0.000 0.016
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.4443 -0.0884 0.524 0.004 0 0.472 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.3774 0.3702 0.000 0.704 0 0.000 0.296
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.3534 0.4335 0.000 0.744 0 0.000 0.256
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0290 0.6992 0.000 0.992 0 0.000 0.008
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.5492 0.6445 0.112 0.176 0 0.692 0.020
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0798 0.6986 0.008 0.976 0 0.000 0.016
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 4 0.4032 0.7210 0.024 0.164 0 0.792 0.020
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.0290 0.8268 0.008 0.000 0 0.992 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 4 0.1908 0.7974 0.092 0.000 0 0.908 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.6962 0.4157 0.024 0.196 0 0.484 0.296
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.5180 0.5631 0.024 0.320 0 0.632 0.024
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.4718 0.2754 0.444 0.540 0 0.000 0.016
#> 15532795-F8EC-4460-9972-82EC355E3B06 5 0.2561 0.8570 0.000 0.144 0 0.000 0.856
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.0798 0.8270 0.008 0.000 0 0.976 0.016
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.4815 0.2325 0.480 0.504 0 0.008 0.008
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.0898 0.8269 0.008 0.000 0 0.972 0.020
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 1.0000 0.000 0.000 1 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.0000 0.8267 0.000 0.000 0 1.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 4 0.5470 0.5325 0.268 0.104 0 0.628 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0880 0.6970 0.000 0.968 0 0.000 0.032
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.1310 0.8210 0.000 0.020 0 0.956 0.024
#> 3E070741-BBA0-4806-8D74-08595E249252 4 0.0000 0.8267 0.000 0.000 0 1.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.4332 0.6828 0.008 0.236 0 0.732 0.024
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.1043 0.7345 0.960 0.000 0 0.040 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.0000 0.8267 0.000 0.000 0 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 1.0000 0.000 0.000 1 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.6079 0.2682 0.016 0.604 0 0.124 0.256
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0880 0.6959 0.000 0.968 0 0.000 0.032
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.0000 0.8267 0.000 0.000 0 1.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 4 0.5527 0.6554 0.024 0.228 0 0.672 0.076
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0880 0.6970 0.000 0.968 0 0.000 0.032
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.5591 0.6321 0.112 0.188 0 0.680 0.020
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.4418 0.4344 0.332 0.652 0 0.000 0.016
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.2773 0.6197 0.164 0.836 0 0.000 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0609 0.6966 0.000 0.980 0 0.000 0.020
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.0898 0.8269 0.008 0.000 0 0.972 0.020
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.2189 0.6556 0.000 0.904 0 0.012 0.084
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0404 0.6971 0.012 0.988 0 0.000 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.6916 0.4295 0.024 0.188 0 0.492 0.296
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.1478 0.8057 0.000 0.064 0 0.936 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 5 0.2020 0.8817 0.000 0.100 0 0.000 0.900
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 4 0.0898 0.8269 0.008 0.000 0 0.972 0.020
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.0898 0.8269 0.008 0.000 0 0.972 0.020
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 1.0000 0.000 0.000 1 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 4 0.0898 0.8269 0.008 0.000 0 0.972 0.020
#> D227D812-6DF9-4954-9A50-6EBF6486116C 4 0.0000 0.8267 0.000 0.000 0 1.000 0.000
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0703 0.6985 0.000 0.976 0 0.000 0.024
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.2377 0.8735 0.000 0.128 0 0.000 0.872
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.4485 0.7002 0.008 0.224 0 0.732 0.036
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.3790 0.4086 0.000 0.724 0 0.004 0.272
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.0404 0.8265 0.000 0.000 0 0.988 0.012
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.1121 0.6916 0.000 0.956 0 0.000 0.044
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 4 0.0898 0.8269 0.008 0.000 0 0.972 0.020
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 4 0.0898 0.8269 0.008 0.000 0 0.972 0.020
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.0898 0.8269 0.008 0.000 0 0.972 0.020
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.5692 0.2578 0.024 0.568 0 0.364 0.044
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0290 0.6992 0.000 0.992 0 0.000 0.008
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 4 0.4240 0.6782 0.000 0.036 0 0.736 0.228
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.0566 0.8277 0.004 0.000 0 0.984 0.012
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.5309 0.3135 0.000 0.656 0 0.104 0.240
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 4 0.0798 0.8270 0.008 0.000 0 0.976 0.016
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.1913 0.8216 0.020 0.024 0 0.936 0.020
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.3780 0.5981 0.812 0.116 0 0.072 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0880 0.6970 0.000 0.968 0 0.000 0.032
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 4 0.3439 0.7311 0.004 0.188 0 0.800 0.008
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.0451 0.7245 0.988 0.004 0 0.008 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 4 0.5490 0.2917 0.024 0.444 0 0.508 0.024
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.3993 0.7232 0.024 0.160 0 0.796 0.020
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.4998 0.4354 0.000 0.700 0 0.104 0.196
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 4 0.0162 0.8272 0.004 0.000 0 0.996 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.1864 0.6769 0.068 0.924 0 0.004 0.004
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.0000 0.8267 0.000 0.000 0 1.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.4713 0.2955 0.440 0.544 0 0.000 0.016
#> B11753A0-829F-4913-B894-F07A53FF1C92 4 0.0000 0.8267 0.000 0.000 0 1.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.5667 0.2653 0.048 0.592 0 0.336 0.024
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.0162 0.6993 0.000 0.996 0 0.004 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.4872 0.6450 0.024 0.260 0 0.692 0.024
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.0798 0.8270 0.008 0.000 0 0.976 0.016
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.0579 0.8271 0.008 0.000 0 0.984 0.008
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 4 0.6885 0.3363 0.020 0.220 0 0.500 0.260
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 2 0.2263 0.6708 0.024 0.920 0 0.036 0.020
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.0324 0.8273 0.004 0.000 0 0.992 0.004
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0290 0.6992 0.000 0.992 0 0.000 0.008
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 5 0.3857 0.5532 0.000 0.312 0 0.000 0.688
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.6757 0.2261 0.288 0.476 0 0.228 0.008
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.5531 0.3925 0.024 0.416 0 0.532 0.028
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 4 0.0898 0.8269 0.008 0.000 0 0.972 0.020
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 4 0.0898 0.8269 0.008 0.000 0 0.972 0.020
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 2 0.6077 0.2416 0.156 0.580 0 0.260 0.004
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.4072 0.7264 0.108 0.100 0 0.792 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 4 0.0798 0.8270 0.008 0.000 0 0.976 0.016
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.4718 0.2754 0.444 0.540 0 0.000 0.016
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.0609 0.7389 0.980 0.000 0 0.020 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.5067 0.3526 0.028 0.668 0 0.280 0.024
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 4 0.0992 0.8266 0.008 0.000 0 0.968 0.024
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.1018 0.6962 0.016 0.968 0 0.000 0.016
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.0290 0.8268 0.008 0.000 0 0.992 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.5133 0.2632 0.020 0.584 0 0.380 0.016
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 4 0.5867 0.3702 0.028 0.412 0 0.516 0.044
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 1.0000 0.000 0.000 1 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.2929 0.5309 0.820 0.180 0 0.000 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 4 0.7108 0.3143 0.020 0.244 0 0.440 0.296
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.4489 0.7342 0.008 0.144 0 0.768 0.080
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 4 0.1851 0.7998 0.088 0.000 0 0.912 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.1012 0.6898 0.012 0.968 0 0.000 0.020
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.0898 0.8269 0.008 0.000 0 0.972 0.020
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0404 0.6971 0.012 0.988 0 0.000 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 4 0.0798 0.8270 0.008 0.000 0 0.976 0.016
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 1.0000 0.000 0.000 1 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.2095 0.6773 0.020 0.928 0 0.024 0.028
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 4 0.4798 0.6576 0.024 0.236 0 0.712 0.028
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.3586 0.4263 0.000 0.736 0 0.000 0.264
#> CC008807-7264-4593-966F-104992B35873 2 0.0609 0.6992 0.000 0.980 0 0.000 0.020
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 4 0.0898 0.8269 0.008 0.000 0 0.972 0.020
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 4 0.0898 0.8269 0.008 0.000 0 0.972 0.020
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.0290 0.8276 0.000 0.008 0 0.992 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.0703 0.8242 0.000 0.000 0 0.976 0.024
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.0898 0.8269 0.008 0.000 0 0.972 0.020
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 4 0.4926 0.6148 0.008 0.036 0 0.660 0.296
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.0609 0.7389 0.980 0.000 0 0.020 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0609 0.6966 0.000 0.980 0 0.000 0.020
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.5920 0.5442 0.024 0.312 0 0.592 0.072
#> 67E92530-3B19-424C-B219-958A88909046 4 0.0000 0.8267 0.000 0.000 0 1.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.4322 0.7127 0.144 0.088 0 0.768 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.0404 0.8263 0.000 0.000 0 0.988 0.012
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.1408 0.8169 0.008 0.044 0 0.948 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 5 0.1092 0.963 0.000 0.020 0 0.000 0.960 0.020
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 6 0.1701 0.826 0.000 0.008 0 0.072 0.000 0.920
#> B626F298-622E-4C4F-8217-71D1234A6670 6 0.1757 0.825 0.000 0.008 0 0.076 0.000 0.916
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.4098 0.553 0.000 0.676 0 0.000 0.292 0.032
#> EB246839-8CB3-4B57-985E-DCEE23692361 6 0.1745 0.817 0.000 0.020 0 0.056 0.000 0.924
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.3924 0.599 0.000 0.740 0 0.052 0.000 0.208
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.3971 0.638 0.000 0.748 0 0.000 0.184 0.068
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 6 0.2020 0.817 0.000 0.008 0 0.096 0.000 0.896
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.0260 0.895 0.000 0.000 0 0.992 0.000 0.008
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.3172 0.671 0.000 0.816 0 0.036 0.000 0.148
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 4 0.0603 0.894 0.000 0.000 0 0.980 0.016 0.004
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 1.000 0.000 0.000 1 0.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 4 0.3836 0.709 0.176 0.000 0 0.772 0.012 0.040
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 4 0.3800 0.722 0.168 0.000 0 0.776 0.008 0.048
#> 785376B4-CBAE-4014-B08C-58A42A88583B 4 0.1644 0.877 0.000 0.000 0 0.932 0.028 0.040
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.2036 0.724 0.064 0.912 0 0.000 0.008 0.016
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.1464 0.735 0.036 0.944 0 0.000 0.004 0.016
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 4 0.4091 -0.074 0.000 0.008 0 0.520 0.000 0.472
#> 851B9B77-547A-43CC-B939-428E0A26C67C 6 0.1701 0.826 0.000 0.008 0 0.072 0.000 0.920
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.4118 0.533 0.000 0.660 0 0.000 0.312 0.028
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0260 0.745 0.000 0.992 0 0.000 0.000 0.008
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 1.000 0.000 0.000 1 0.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0405 0.768 0.988 0.000 0 0.008 0.000 0.004
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 4 0.1141 0.870 0.000 0.000 0 0.948 0.000 0.052
#> 482285EC-BA43-441D-9986-7937B61A81D1 5 0.1092 0.963 0.000 0.020 0 0.000 0.960 0.020
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.0260 0.895 0.000 0.000 0 0.992 0.000 0.008
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.1982 0.724 0.068 0.912 0 0.000 0.004 0.016
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.3330 0.544 0.000 0.000 0 0.716 0.000 0.284
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.0363 0.766 0.988 0.000 0 0.000 0.000 0.012
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 4 0.1176 0.887 0.000 0.000 0 0.956 0.020 0.024
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 1.000 0.000 0.000 1 0.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 4 0.2572 0.774 0.000 0.012 0 0.852 0.000 0.136
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.0820 0.894 0.000 0.000 0 0.972 0.016 0.012
#> AA838488-4A13-4998-B261-91590113F37D 4 0.1644 0.877 0.000 0.000 0 0.932 0.028 0.040
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 6 0.1918 0.823 0.000 0.008 0 0.088 0.000 0.904
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 6 0.3268 0.756 0.000 0.100 0 0.076 0.000 0.824
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.4252 0.493 0.652 0.000 0 0.312 0.000 0.036
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.0363 0.894 0.000 0.000 0 0.988 0.000 0.012
#> C6D88493-258C-481E-B3A4-75DA86C25C43 6 0.1970 0.820 0.000 0.008 0 0.092 0.000 0.900
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.4092 0.373 0.000 0.020 0 0.636 0.000 0.344
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 1 0.0717 0.768 0.976 0.000 0 0.008 0.000 0.016
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.6163 -0.027 0.016 0.408 0 0.400 0.000 0.176
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 4 0.0405 0.896 0.000 0.004 0 0.988 0.000 0.008
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 4 0.2320 0.784 0.000 0.004 0 0.864 0.000 0.132
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 6 0.1745 0.826 0.000 0.012 0 0.068 0.000 0.920
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0632 0.747 0.000 0.976 0 0.000 0.000 0.024
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.0000 0.766 1.000 0.000 0 0.000 0.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.2151 0.720 0.072 0.904 0 0.000 0.008 0.016
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.3950 0.556 0.000 0.028 0 0.696 0.000 0.276
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 4 0.0260 0.895 0.000 0.000 0 0.992 0.000 0.008
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.0632 0.747 0.000 0.976 0 0.000 0.000 0.024
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.2653 0.672 0.844 0.000 0 0.144 0.000 0.012
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.0146 0.895 0.000 0.000 0 0.996 0.000 0.004
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.2151 0.720 0.072 0.904 0 0.000 0.008 0.016
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.4229 0.546 0.000 0.668 0 0.000 0.292 0.040
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 4 0.2545 0.862 0.032 0.020 0 0.900 0.012 0.036
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0632 0.747 0.000 0.976 0 0.000 0.000 0.024
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.4229 0.516 0.668 0.000 0 0.292 0.000 0.040
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.4101 0.535 0.000 0.664 0 0.000 0.308 0.028
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.4229 0.546 0.000 0.668 0 0.000 0.292 0.040
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0363 0.746 0.000 0.988 0 0.000 0.000 0.012
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.1321 0.880 0.004 0.020 0 0.952 0.000 0.024
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0632 0.747 0.000 0.976 0 0.000 0.000 0.024
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 4 0.4825 0.504 0.000 0.180 0 0.668 0.000 0.152
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.0260 0.895 0.000 0.000 0 0.992 0.000 0.008
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 4 0.4944 0.111 0.432 0.000 0 0.516 0.012 0.040
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 6 0.1779 0.825 0.000 0.016 0 0.064 0.000 0.920
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 4 0.5634 0.144 0.000 0.336 0 0.500 0.000 0.164
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.2151 0.720 0.072 0.904 0 0.000 0.008 0.016
#> 15532795-F8EC-4460-9972-82EC355E3B06 5 0.1926 0.923 0.000 0.068 0 0.000 0.912 0.020
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 4 0.0458 0.895 0.000 0.000 0 0.984 0.016 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.3865 0.668 0.076 0.784 0 0.008 0.000 0.132
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 4 0.1644 0.877 0.000 0.000 0 0.932 0.028 0.040
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 1.000 0.000 0.000 1 0.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.0260 0.895 0.000 0.000 0 0.992 0.000 0.008
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 4 0.4406 0.404 0.344 0.008 0 0.624 0.000 0.024
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.1765 0.736 0.000 0.924 0 0.000 0.052 0.024
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.0692 0.890 0.000 0.004 0 0.976 0.000 0.020
#> 3E070741-BBA0-4806-8D74-08595E249252 4 0.0146 0.895 0.000 0.000 0 0.996 0.000 0.004
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.3141 0.770 0.012 0.020 0 0.828 0.000 0.140
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0935 0.760 0.964 0.000 0 0.032 0.000 0.004
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.0260 0.895 0.000 0.000 0 0.992 0.000 0.008
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 1.000 0.000 0.000 1 0.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.4807 0.224 0.000 0.484 0 0.052 0.000 0.464
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.4065 0.548 0.000 0.672 0 0.000 0.028 0.300
#> 4CA559EF-D8B9-400B-972C-693257124C3D 4 0.0260 0.895 0.000 0.000 0 0.992 0.000 0.008
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 6 0.1983 0.824 0.000 0.020 0 0.072 0.000 0.908
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.2383 0.716 0.000 0.880 0 0.000 0.096 0.024
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.1536 0.876 0.012 0.020 0 0.944 0.000 0.024
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.1982 0.723 0.068 0.912 0 0.000 0.004 0.016
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.3245 0.661 0.016 0.796 0 0.000 0.004 0.184
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.3990 0.567 0.000 0.688 0 0.000 0.284 0.028
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.0909 0.892 0.000 0.000 0 0.968 0.020 0.012
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.4582 0.607 0.000 0.704 0 0.004 0.184 0.108
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.1010 0.748 0.000 0.960 0 0.000 0.004 0.036
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 6 0.1686 0.824 0.000 0.012 0 0.064 0.000 0.924
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.0508 0.893 0.000 0.004 0 0.984 0.000 0.012
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 5 0.1092 0.963 0.000 0.020 0 0.000 0.960 0.020
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 4 0.1498 0.882 0.000 0.000 0 0.940 0.028 0.032
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 4 0.0914 0.892 0.000 0.000 0 0.968 0.016 0.016
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 1.000 0.000 0.000 1 0.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 4 0.1644 0.877 0.000 0.000 0 0.932 0.028 0.040
#> D227D812-6DF9-4954-9A50-6EBF6486116C 4 0.0260 0.895 0.000 0.000 0 0.992 0.000 0.008
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0547 0.746 0.000 0.980 0 0.000 0.000 0.020
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 5 0.1983 0.917 0.000 0.072 0 0.000 0.908 0.020
#> 8B23AB23-8931-42CA-972D-1528D44BF218 6 0.4419 0.397 0.000 0.032 0 0.384 0.000 0.584
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 6 0.3711 0.441 0.000 0.260 0 0.000 0.020 0.720
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.0146 0.895 0.000 0.000 0 0.996 0.000 0.004
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.4165 0.550 0.000 0.672 0 0.000 0.292 0.036
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 4 0.1644 0.877 0.000 0.000 0 0.932 0.028 0.040
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 4 0.1644 0.877 0.000 0.000 0 0.932 0.028 0.040
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.1421 0.883 0.000 0.000 0 0.944 0.028 0.028
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.4703 0.240 0.000 0.492 0 0.044 0.000 0.464
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0260 0.745 0.000 0.992 0 0.000 0.000 0.008
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 6 0.3874 0.485 0.000 0.008 0 0.356 0.000 0.636
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 4 0.0146 0.896 0.000 0.000 0 0.996 0.000 0.004
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.4853 0.534 0.000 0.648 0 0.020 0.280 0.052
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 4 0.0458 0.895 0.000 0.000 0 0.984 0.016 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 4 0.1633 0.879 0.000 0.000 0 0.932 0.024 0.044
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.3652 0.614 0.768 0.000 0 0.188 0.000 0.044
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.3025 0.680 0.000 0.820 0 0.000 0.156 0.024
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 4 0.1176 0.883 0.000 0.020 0 0.956 0.000 0.024
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.0363 0.766 0.988 0.000 0 0.000 0.000 0.012
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.5626 0.121 0.000 0.496 0 0.344 0.000 0.160
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.4752 0.522 0.000 0.184 0 0.676 0.000 0.140
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.4851 0.547 0.000 0.656 0 0.020 0.268 0.056
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 4 0.0146 0.895 0.000 0.000 0 0.996 0.000 0.004
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.2704 0.693 0.016 0.844 0 0.000 0.000 0.140
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.0603 0.893 0.000 0.004 0 0.980 0.000 0.016
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.2039 0.723 0.072 0.908 0 0.000 0.004 0.016
#> B11753A0-829F-4913-B894-F07A53FF1C92 4 0.0146 0.895 0.000 0.000 0 0.996 0.000 0.004
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.3595 0.657 0.012 0.796 0 0.036 0.000 0.156
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.0260 0.744 0.000 0.992 0 0.000 0.000 0.008
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.4921 0.509 0.000 0.180 0 0.656 0.000 0.164
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 4 0.0717 0.893 0.000 0.000 0 0.976 0.008 0.016
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 4 0.0146 0.895 0.000 0.000 0 0.996 0.000 0.004
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 6 0.4812 0.240 0.000 0.344 0 0.068 0.000 0.588
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 2 0.2538 0.702 0.000 0.860 0 0.016 0.000 0.124
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.0260 0.895 0.000 0.000 0 0.992 0.000 0.008
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0291 0.745 0.000 0.992 0 0.000 0.004 0.004
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 5 0.1003 0.961 0.000 0.020 0 0.000 0.964 0.016
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.4809 0.395 0.024 0.604 0 0.020 0.004 0.348
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.5865 -0.038 0.000 0.424 0 0.380 0.000 0.196
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 4 0.1644 0.877 0.000 0.000 0 0.932 0.028 0.040
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 4 0.1644 0.877 0.000 0.000 0 0.932 0.028 0.040
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.6081 0.236 0.508 0.316 0 0.156 0.012 0.008
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.1036 0.888 0.004 0.008 0 0.964 0.000 0.024
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 4 0.0914 0.893 0.000 0.000 0 0.968 0.016 0.016
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.2151 0.720 0.072 0.904 0 0.000 0.008 0.016
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 1 0.0363 0.766 0.988 0.000 0 0.000 0.000 0.012
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.3385 0.658 0.000 0.788 0 0.032 0.000 0.180
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 4 0.0458 0.895 0.000 0.000 0 0.984 0.000 0.016
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.3769 0.499 0.000 0.640 0 0.004 0.000 0.356
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 4 0.0146 0.895 0.000 0.000 0 0.996 0.000 0.004
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.4255 0.622 0.000 0.708 0 0.068 0.000 0.224
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 6 0.4222 0.543 0.000 0.252 0 0.044 0.004 0.700
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 1.000 0.000 0.000 1 0.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 1 0.2402 0.648 0.868 0.120 0 0.000 0.000 0.012
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 6 0.1745 0.826 0.000 0.012 0 0.068 0.000 0.920
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 6 0.2006 0.819 0.000 0.016 0 0.080 0.000 0.904
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 4 0.4821 0.337 0.364 0.000 0 0.584 0.012 0.040
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.2135 0.713 0.000 0.872 0 0.000 0.000 0.128
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 4 0.1168 0.889 0.000 0.000 0 0.956 0.028 0.016
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0363 0.745 0.000 0.988 0 0.000 0.000 0.012
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 4 0.0622 0.896 0.000 0.000 0 0.980 0.008 0.012
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 1.000 0.000 0.000 1 0.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.2378 0.702 0.000 0.848 0 0.000 0.000 0.152
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 6 0.5191 0.332 0.000 0.092 0 0.400 0.000 0.508
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.4229 0.546 0.000 0.668 0 0.000 0.292 0.040
#> CC008807-7264-4593-966F-104992B35873 2 0.2730 0.700 0.000 0.836 0 0.000 0.012 0.152
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 4 0.0692 0.895 0.000 0.000 0 0.976 0.020 0.004
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 4 0.1644 0.877 0.000 0.000 0 0.932 0.028 0.040
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.0508 0.894 0.000 0.004 0 0.984 0.000 0.012
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 4 0.2234 0.793 0.000 0.004 0 0.872 0.000 0.124
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 4 0.1644 0.877 0.000 0.000 0 0.932 0.028 0.040
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 6 0.2020 0.815 0.000 0.008 0 0.096 0.000 0.896
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.0000 0.766 1.000 0.000 0 0.000 0.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.3956 0.562 0.000 0.684 0 0.000 0.292 0.024
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 6 0.1972 0.815 0.000 0.024 0 0.056 0.004 0.916
#> 67E92530-3B19-424C-B219-958A88909046 4 0.0603 0.893 0.000 0.004 0 0.980 0.000 0.016
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.2786 0.823 0.100 0.012 0 0.864 0.000 0.024
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.0260 0.895 0.000 0.000 0 0.992 0.000 0.008
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.1036 0.892 0.000 0.008 0 0.964 0.004 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["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 17604 rows and 183 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 0.921 0.929 0.971 0.4845 0.514 0.514
#> 3 3 0.676 0.793 0.901 0.2798 0.647 0.429
#> 4 4 0.808 0.839 0.932 0.1166 0.821 0.576
#> 5 5 0.648 0.658 0.831 0.1106 0.809 0.464
#> 6 6 0.585 0.429 0.702 0.0482 0.955 0.814
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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.975 0.000 1.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 2 0.0000 0.975 0.000 1.000
#> B626F298-622E-4C4F-8217-71D1234A6670 2 0.0000 0.975 0.000 1.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.975 0.000 1.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 2 0.0000 0.975 0.000 1.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0000 0.975 0.000 1.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.975 0.000 1.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 2 0.0000 0.975 0.000 1.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.962 1.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.0000 0.975 0.000 1.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.0000 0.962 1.000 0.000
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.0000 0.975 0.000 1.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.962 1.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 1 0.0000 0.962 1.000 0.000
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.962 1.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0000 0.975 0.000 1.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.0000 0.975 0.000 1.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 2 0.5629 0.835 0.132 0.868
#> 851B9B77-547A-43CC-B939-428E0A26C67C 2 0.0000 0.975 0.000 1.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.0000 0.975 0.000 1.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.0000 0.975 0.000 1.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.0000 0.975 0.000 1.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.962 1.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 2 0.3114 0.922 0.056 0.944
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.0000 0.975 0.000 1.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.962 1.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0000 0.975 0.000 1.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 2 0.8144 0.654 0.252 0.748
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.0000 0.962 1.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.0000 0.962 1.000 0.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.0000 0.975 0.000 1.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 1 0.8713 0.603 0.708 0.292
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.0000 0.962 1.000 0.000
#> AA838488-4A13-4998-B261-91590113F37D 1 0.0000 0.962 1.000 0.000
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 2 0.0000 0.975 0.000 1.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.0000 0.975 0.000 1.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.962 1.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 2 0.9635 0.348 0.388 0.612
#> C6D88493-258C-481E-B3A4-75DA86C25C43 2 0.0000 0.975 0.000 1.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 2 0.9933 0.149 0.452 0.548
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.0000 0.975 0.000 1.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.0000 0.975 0.000 1.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.6148 0.816 0.848 0.152
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.9944 0.183 0.544 0.456
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 2 0.0000 0.975 0.000 1.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.975 0.000 1.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.0000 0.962 1.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0000 0.975 0.000 1.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 2 0.9866 0.217 0.432 0.568
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.5629 0.839 0.868 0.132
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.0000 0.975 0.000 1.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.0000 0.962 1.000 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.0000 0.962 1.000 0.000
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.0000 0.975 0.000 1.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.0000 0.975 0.000 1.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 1 0.0000 0.962 1.000 0.000
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0000 0.975 0.000 1.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.962 1.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0000 0.975 0.000 1.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.975 0.000 1.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.0000 0.975 0.000 1.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 1 0.0000 0.962 1.000 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0000 0.975 0.000 1.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.6973 0.757 0.188 0.812
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.962 1.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0000 0.962 1.000 0.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 2 0.0000 0.975 0.000 1.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 0.0000 0.975 0.000 1.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0000 0.975 0.000 1.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.975 0.000 1.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.962 1.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.0000 0.975 0.000 1.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.962 1.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.0000 0.975 0.000 1.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0000 0.962 1.000 0.000
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.962 1.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0000 0.975 0.000 1.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.8144 0.674 0.748 0.252
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.962 1.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 1 0.7674 0.719 0.776 0.224
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.962 1.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.962 1.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.0000 0.975 0.000 1.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 2 0.0000 0.975 0.000 1.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0000 0.975 0.000 1.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0376 0.959 0.996 0.004
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 2 0.0000 0.975 0.000 1.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0000 0.975 0.000 1.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 1 0.0376 0.959 0.996 0.004
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.0000 0.975 0.000 1.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0000 0.975 0.000 1.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.975 0.000 1.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.0000 0.962 1.000 0.000
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.0000 0.975 0.000 1.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0000 0.975 0.000 1.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 2 0.0000 0.975 0.000 1.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.0000 0.962 1.000 0.000
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.975 0.000 1.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.962 1.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.962 1.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 2 0.0000 0.975 0.000 1.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.962 1.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.0376 0.959 0.996 0.004
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.0000 0.975 0.000 1.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.0000 0.975 0.000 1.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.0000 0.975 0.000 1.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.975 0.000 1.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 2 0.0672 0.968 0.008 0.992
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.975 0.000 1.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.0000 0.962 1.000 0.000
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.0000 0.962 1.000 0.000
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.962 1.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.0000 0.975 0.000 1.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0000 0.975 0.000 1.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 2 0.9850 0.233 0.428 0.572
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.0000 0.962 1.000 0.000
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.0000 0.975 0.000 1.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0000 0.962 1.000 0.000
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0000 0.962 1.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 1 0.4022 0.893 0.920 0.080
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.975 0.000 1.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.4562 0.878 0.904 0.096
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.0000 0.962 1.000 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.1184 0.961 0.016 0.984
#> C7698440-CD13-438F-A60F-063D94C9ECAD 2 0.5737 0.829 0.136 0.864
#> 57787823-A815-4783-930C-A5752E48FFBA 2 0.0000 0.975 0.000 1.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.9833 0.286 0.576 0.424
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.0000 0.975 0.000 1.000
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.0000 0.962 1.000 0.000
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.0000 0.975 0.000 1.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.962 1.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0000 0.975 0.000 1.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.0000 0.975 0.000 1.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 2 0.2603 0.934 0.044 0.956
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0000 0.962 1.000 0.000
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0000 0.962 1.000 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 2 0.0000 0.975 0.000 1.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 2 0.0376 0.971 0.004 0.996
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.962 1.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0000 0.975 0.000 1.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.975 0.000 1.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.0000 0.975 0.000 1.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.0000 0.975 0.000 1.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.962 1.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.0000 0.962 1.000 0.000
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 1 0.7056 0.765 0.808 0.192
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.962 1.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.0000 0.962 1.000 0.000
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0000 0.975 0.000 1.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.0000 0.975 0.000 1.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.0000 0.975 0.000 1.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.962 1.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0000 0.975 0.000 1.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.962 1.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 2 0.0376 0.971 0.004 0.996
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.0000 0.975 0.000 1.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.0000 0.975 0.000 1.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.0000 0.975 0.000 1.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 2 0.0000 0.975 0.000 1.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 2 0.0000 0.975 0.000 1.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.0000 0.962 1.000 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.0000 0.975 0.000 1.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.962 1.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0000 0.975 0.000 1.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.962 1.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.0000 0.975 0.000 1.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.0000 0.975 0.000 1.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 2 0.0000 0.975 0.000 1.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.975 0.000 1.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0000 0.975 0.000 1.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.962 1.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.0000 0.962 1.000 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.0000 0.962 1.000 0.000
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 2 0.1184 0.961 0.016 0.984
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0000 0.962 1.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 2 0.0000 0.975 0.000 1.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.0000 0.962 1.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.0000 0.975 0.000 1.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.0000 0.975 0.000 1.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.0000 0.962 1.000 0.000
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.962 1.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.9491 0.435 0.632 0.368
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0000 0.962 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.2625 0.9050 0.084 0.916 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.0000 0.8698 1.000 0.000 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.0000 0.8698 1.000 0.000 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.3752 0.8694 0.144 0.856 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.0000 0.8698 1.000 0.000 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 1 0.6274 0.0203 0.544 0.456 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.3116 0.8931 0.108 0.892 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.0000 0.8698 1.000 0.000 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.1031 0.8640 0.976 0.000 0.024
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.4452 0.8244 0.192 0.808 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.4796 0.6773 0.780 0.000 0.220
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 2 0.0000 0.8981 0.000 1.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.4654 0.6907 0.792 0.000 0.208
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 3 0.1753 0.8506 0.048 0.000 0.952
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.4002 0.7534 0.840 0.000 0.160
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.1031 0.9123 0.024 0.976 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.1289 0.9152 0.032 0.968 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 0.8698 1.000 0.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 1 0.0237 0.8681 0.996 0.004 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.1753 0.9163 0.048 0.952 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.1163 0.9140 0.028 0.972 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 2 0.0000 0.8981 0.000 1.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 3 0.0000 0.8693 0.000 0.000 1.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.0000 0.8698 1.000 0.000 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.1643 0.9165 0.044 0.956 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0592 0.8679 0.988 0.000 0.012
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.1289 0.9152 0.032 0.968 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.0000 0.8698 1.000 0.000 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 3 0.0000 0.8693 0.000 0.000 1.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 3 0.0000 0.8693 0.000 0.000 1.000
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 2 0.0000 0.8981 0.000 1.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 3 0.9633 0.1616 0.212 0.352 0.436
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 3 0.6140 0.3572 0.404 0.000 0.596
#> AA838488-4A13-4998-B261-91590113F37D 3 0.4842 0.7040 0.224 0.000 0.776
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.0000 0.8698 1.000 0.000 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 1 0.5968 0.3350 0.636 0.364 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 3 0.0000 0.8693 0.000 0.000 1.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0000 0.8698 1.000 0.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.0000 0.8698 1.000 0.000 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.0000 0.8698 1.000 0.000 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.1163 0.9140 0.028 0.972 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.3340 0.8869 0.120 0.880 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0424 0.8688 0.992 0.000 0.008
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.1315 0.8622 0.972 0.020 0.008
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 1 0.0000 0.8698 1.000 0.000 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.1529 0.9165 0.040 0.960 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 3 0.0747 0.8643 0.000 0.016 0.984
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0592 0.9058 0.012 0.988 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 1 0.3340 0.7669 0.880 0.120 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.0424 0.8688 0.992 0.000 0.008
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.1860 0.9156 0.052 0.948 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 3 0.0000 0.8693 0.000 0.000 1.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.2261 0.8413 0.932 0.000 0.068
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.1643 0.9165 0.044 0.956 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.3941 0.8595 0.156 0.844 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 3 0.6309 0.0411 0.500 0.000 0.500
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.2796 0.9016 0.092 0.908 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 3 0.0000 0.8693 0.000 0.000 1.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.4931 0.7791 0.232 0.768 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.4002 0.8560 0.160 0.840 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 2 0.1163 0.9140 0.028 0.972 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 3 0.1315 0.8564 0.020 0.008 0.972
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.3482 0.8808 0.128 0.872 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.3267 0.7725 0.884 0.116 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.1643 0.8554 0.956 0.000 0.044
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 3 0.0000 0.8693 0.000 0.000 1.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.0237 0.8681 0.996 0.004 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 1 0.5560 0.4971 0.700 0.300 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0892 0.9103 0.020 0.980 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.1753 0.9163 0.048 0.952 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.1860 0.8514 0.948 0.000 0.052
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.1643 0.9165 0.044 0.956 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.2878 0.8207 0.904 0.000 0.096
#> 3D3E5993-9E56-4A95-928E-012B62959711 2 0.2537 0.8408 0.080 0.920 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.0424 0.8688 0.992 0.000 0.008
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 3 0.0000 0.8693 0.000 0.000 1.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.1289 0.9152 0.032 0.968 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.0000 0.8698 1.000 0.000 0.000
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.1411 0.8591 0.964 0.000 0.036
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 3 0.7170 0.3601 0.036 0.352 0.612
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 3 0.0000 0.8693 0.000 0.000 1.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.1643 0.8554 0.956 0.000 0.044
#> F521826B-B2EC-4000-9CE0-935F331AF562 2 0.0000 0.8981 0.000 1.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.0000 0.8698 1.000 0.000 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.6140 0.4463 0.404 0.596 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.8698 1.000 0.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 1 0.0000 0.8698 1.000 0.000 0.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.1529 0.9165 0.040 0.960 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 3 0.3193 0.8068 0.004 0.100 0.896
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.2165 0.9126 0.064 0.936 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.1860 0.9156 0.052 0.948 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.1529 0.9165 0.040 0.960 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.6225 0.1843 0.568 0.000 0.432
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.4291 0.8393 0.180 0.820 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.2356 0.9098 0.072 0.928 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.0000 0.8698 1.000 0.000 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 1 0.5733 0.4926 0.676 0.000 0.324
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 2 0.0000 0.8981 0.000 1.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.4002 0.7530 0.840 0.000 0.160
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.1643 0.8554 0.956 0.000 0.044
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 2 0.0000 0.8981 0.000 1.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.2878 0.8198 0.904 0.000 0.096
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.6154 0.2701 0.592 0.000 0.408
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.1289 0.9154 0.032 0.968 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.1529 0.9165 0.040 0.960 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 1 0.2878 0.7919 0.904 0.096 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 1 0.6305 -0.0963 0.516 0.484 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0000 0.8698 1.000 0.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.3482 0.8808 0.128 0.872 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 3 0.5529 0.5939 0.296 0.000 0.704
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 3 0.4291 0.7540 0.180 0.000 0.820
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 3 0.0000 0.8693 0.000 0.000 1.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 1 0.5291 0.5656 0.732 0.268 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.1643 0.9165 0.044 0.956 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0000 0.8698 1.000 0.000 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.2448 0.8358 0.924 0.000 0.076
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.4842 0.7910 0.224 0.776 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.3116 0.8099 0.892 0.000 0.108
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.1964 0.8491 0.944 0.000 0.056
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 3 0.5098 0.6399 0.000 0.248 0.752
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.2261 0.9113 0.068 0.932 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 3 0.7677 0.6247 0.120 0.204 0.676
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 3 0.1643 0.8473 0.000 0.044 0.956
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.3752 0.8704 0.144 0.856 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.1163 0.8530 0.972 0.028 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 1 0.5431 0.5395 0.716 0.284 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0000 0.8698 1.000 0.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 1 0.6309 -0.1433 0.504 0.496 0.000
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.5098 0.6442 0.752 0.000 0.248
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.1289 0.9152 0.032 0.968 0.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.1529 0.8574 0.960 0.000 0.040
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.3340 0.8861 0.120 0.880 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.1163 0.9140 0.028 0.972 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 1 0.6126 0.2256 0.600 0.400 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.1964 0.8491 0.944 0.000 0.056
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.1289 0.8605 0.968 0.000 0.032
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.0000 0.8698 1.000 0.000 0.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 2 0.1411 0.9161 0.036 0.964 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.1753 0.8536 0.952 0.000 0.048
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.1163 0.9140 0.028 0.972 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 2 0.0000 0.8981 0.000 1.000 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.1753 0.9163 0.048 0.952 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.5465 0.6939 0.288 0.712 0.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.3038 0.8126 0.896 0.000 0.104
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 3 0.4178 0.7637 0.172 0.000 0.828
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 2 0.5982 0.4156 0.004 0.668 0.328
#> 8812DD6D-D245-4752-878F-496B164A21A3 3 0.0000 0.8693 0.000 0.000 1.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 3 0.4346 0.7507 0.184 0.000 0.816
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0892 0.9103 0.020 0.980 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 2 0.0000 0.8981 0.000 1.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.2711 0.9033 0.088 0.912 0.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0892 0.8647 0.980 0.000 0.020
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 1 0.6008 0.3159 0.628 0.372 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.1529 0.8574 0.960 0.000 0.040
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.1031 0.8563 0.976 0.024 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.5254 0.7343 0.264 0.736 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 2 0.0237 0.8978 0.004 0.996 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.0000 0.8981 0.000 1.000 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 1 0.1163 0.8534 0.972 0.028 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.0000 0.8698 1.000 0.000 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 3 0.2537 0.8331 0.080 0.000 0.920
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.4121 0.8491 0.168 0.832 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.3116 0.8091 0.892 0.000 0.108
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.1753 0.9163 0.048 0.952 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.2711 0.8263 0.912 0.000 0.088
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 2 0.0000 0.8981 0.000 1.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.6215 0.3772 0.428 0.572 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.0237 0.8681 0.996 0.004 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.3941 0.8595 0.156 0.844 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.5988 0.5351 0.368 0.632 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.2625 0.8296 0.916 0.000 0.084
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 3 0.0000 0.8693 0.000 0.000 1.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.1529 0.8583 0.960 0.000 0.040
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.0000 0.8698 1.000 0.000 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.3116 0.8099 0.892 0.000 0.108
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.0000 0.8698 1.000 0.000 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 3 0.0000 0.8693 0.000 0.000 1.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.1289 0.9154 0.032 0.968 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 1 0.3941 0.7255 0.844 0.156 0.000
#> 67E92530-3B19-424C-B219-958A88909046 1 0.6126 0.3441 0.600 0.000 0.400
#> 548F421F-046B-4209-9B20-1A6F32424738 3 0.0000 0.8693 0.000 0.000 1.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.8698 1.000 0.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 3 0.0000 0.8693 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.2011 0.864 0.920 0.080 0.000 0.000
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.0817 0.910 0.976 0.024 0.000 0.000
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 1 0.2647 0.823 0.880 0.120 0.000 0.000
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.4804 0.221 0.616 0.000 0.000 0.384
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.887 0.000 0.000 1.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 4 0.3688 0.721 0.208 0.000 0.000 0.792
#> 785376B4-CBAE-4014-B08C-58A42A88583B 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 851B9B77-547A-43CC-B939-428E0A26C67C 1 0.2081 0.860 0.916 0.084 0.000 0.000
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 3 0.4643 0.487 0.000 0.344 0.656 0.000
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.4941 0.172 0.000 0.564 0.436 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.887 0.000 0.000 1.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 4 0.0000 0.791 0.000 0.000 0.000 1.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 482285EC-BA43-441D-9986-7937B61A81D1 3 0.2216 0.815 0.000 0.092 0.908 0.000
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 87432922-178A-451F-AB92-56FFED13EF3E 4 0.0000 0.791 0.000 0.000 0.000 1.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 4 0.0188 0.791 0.004 0.000 0.000 0.996
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.887 0.000 0.000 1.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 2 0.4406 0.535 0.000 0.700 0.000 0.300
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 4 0.4477 0.635 0.312 0.000 0.000 0.688
#> AA838488-4A13-4998-B261-91590113F37D 4 0.4103 0.702 0.256 0.000 0.000 0.744
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 1 0.0188 0.921 0.996 0.004 0.000 0.000
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.1302 0.919 0.044 0.956 0.000 0.000
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 4 0.0000 0.791 0.000 0.000 0.000 1.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 1 0.0188 0.921 0.996 0.004 0.000 0.000
#> C6D88493-258C-481E-B3A4-75DA86C25C43 1 0.0188 0.921 0.996 0.004 0.000 0.000
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 1 0.4406 0.582 0.700 0.300 0.000 0.000
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.0707 0.944 0.000 0.980 0.000 0.020
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 1 0.0592 0.912 0.984 0.000 0.000 0.016
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 1 0.0592 0.915 0.984 0.016 0.000 0.000
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 1 0.2216 0.852 0.908 0.092 0.000 0.000
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 4 0.0000 0.791 0.000 0.000 0.000 1.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0188 0.958 0.000 0.996 0.000 0.004
#> 89430A30-8758-4E5B-8186-999EA234E39A 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 1 0.2888 0.801 0.872 0.004 0.000 0.124
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 4 0.0000 0.791 0.000 0.000 0.000 1.000
#> 705D8441-3436-49B6-9575-E77C5252844A 1 0.1557 0.878 0.944 0.000 0.000 0.056
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.1716 0.891 0.064 0.936 0.000 0.000
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 4 0.4866 0.462 0.404 0.000 0.000 0.596
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 4 0.0000 0.791 0.000 0.000 0.000 1.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.0469 0.951 0.012 0.988 0.000 0.000
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 3 0.4948 0.234 0.000 0.440 0.560 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.4454 0.523 0.000 0.308 0.000 0.692
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 1 0.4817 0.426 0.612 0.388 0.000 0.000
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 4 0.0000 0.791 0.000 0.000 0.000 1.000
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 1 0.2281 0.848 0.904 0.096 0.000 0.000
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 0.2469 0.833 0.108 0.892 0.000 0.000
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.887 0.000 0.000 1.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 1 0.2345 0.831 0.900 0.000 0.000 0.100
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 4 0.0000 0.791 0.000 0.000 0.000 1.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.0592 0.950 0.000 0.984 0.016 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 1 0.5820 0.589 0.684 0.232 0.000 0.084
#> 3E070741-BBA0-4806-8D74-08595E249252 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 2 0.4164 0.614 0.000 0.736 0.000 0.264
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 4 0.0000 0.791 0.000 0.000 0.000 1.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.887 0.000 0.000 1.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 1 0.0188 0.921 0.996 0.004 0.000 0.000
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 4CA559EF-D8B9-400B-972C-693257124C3D 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 1 0.0817 0.909 0.976 0.024 0.000 0.000
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.4661 0.472 0.000 0.348 0.000 0.652
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 4 0.4855 0.479 0.400 0.000 0.000 0.600
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.4406 0.506 0.300 0.700 0.000 0.000
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 1 0.1792 0.874 0.932 0.068 0.000 0.000
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.3852 0.746 0.180 0.012 0.000 0.808
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 3 0.0000 0.887 0.000 0.000 1.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.887 0.000 0.000 1.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> D227D812-6DF9-4954-9A50-6EBF6486116C 4 0.5110 0.548 0.352 0.012 0.000 0.636
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.1389 0.923 0.000 0.952 0.048 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 3 0.3172 0.752 0.000 0.160 0.840 0.000
#> 8B23AB23-8931-42CA-972D-1528D44BF218 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 4 0.5000 0.210 0.496 0.000 0.000 0.504
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 4 0.3172 0.761 0.160 0.000 0.000 0.840
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 4 0.0188 0.791 0.004 0.000 0.000 0.996
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 1 0.4804 0.435 0.616 0.384 0.000 0.000
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 1 0.1022 0.899 0.968 0.000 0.000 0.032
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 1 0.4998 0.131 0.512 0.488 0.000 0.000
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 1 0.0336 0.917 0.992 0.000 0.000 0.008
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 4 0.4008 0.597 0.000 0.244 0.000 0.756
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 4 0.4713 0.458 0.000 0.360 0.000 0.640
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 4 0.0921 0.781 0.000 0.000 0.028 0.972
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 1 0.1022 0.905 0.968 0.032 0.000 0.000
#> 57787823-A815-4783-930C-A5752E48FFBA 3 0.4564 0.441 0.328 0.000 0.672 0.000
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> B90927EE-2978-45BC-872B-200DE436605C 4 0.3610 0.740 0.200 0.000 0.000 0.800
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 1 0.0188 0.920 0.996 0.000 0.000 0.004
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 1 0.0336 0.919 0.992 0.008 0.000 0.000
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 2 0.1297 0.936 0.000 0.964 0.016 0.020
#> E84904D7-5996-46BC-8B14-5C14249F0667 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 3 0.0469 0.880 0.000 0.012 0.988 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 4 0.3942 0.720 0.236 0.000 0.000 0.764
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 3 0.0000 0.887 0.000 0.000 1.000 0.000
#> 8812DD6D-D245-4752-878F-496B164A21A3 4 0.0000 0.791 0.000 0.000 0.000 1.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 4 0.3801 0.730 0.220 0.000 0.000 0.780
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.0188 0.958 0.000 0.996 0.000 0.004
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0000 0.887 0.000 0.000 1.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.0817 0.940 0.024 0.976 0.000 0.000
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.0336 0.919 0.992 0.008 0.000 0.000
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.887 0.000 0.000 1.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 3 0.0188 0.885 0.000 0.004 0.996 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 1 0.3172 0.774 0.840 0.160 0.000 0.000
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 1 0.1474 0.888 0.948 0.052 0.000 0.000
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 4 0.2921 0.767 0.140 0.000 0.000 0.860
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.887 0.000 0.000 1.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 2 0.2589 0.824 0.116 0.884 0.000 0.000
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.2469 0.836 0.892 0.108 0.000 0.000
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> CC008807-7264-4593-966F-104992B35873 2 0.0000 0.961 0.000 1.000 0.000 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 4 0.1557 0.783 0.056 0.000 0.000 0.944
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 1 0.5004 0.203 0.604 0.004 0.000 0.392
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.0707 0.913 0.980 0.020 0.000 0.000
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.0188 0.921 0.996 0.004 0.000 0.000
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 4 0.0000 0.791 0.000 0.000 0.000 1.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 2 0.2921 0.817 0.000 0.860 0.140 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 2 0.0707 0.944 0.020 0.980 0.000 0.000
#> 67E92530-3B19-424C-B219-958A88909046 4 0.3498 0.760 0.160 0.008 0.000 0.832
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.0000 0.791 0.000 0.000 0.000 1.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 1 0.0000 0.922 1.000 0.000 0.000 0.000
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.0000 0.791 0.000 0.000 0.000 1.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.1717 0.855711 0.000 0.936 0.008 0.052 0.004
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 5 0.3837 0.499019 0.000 0.000 0.000 0.308 0.692
#> B626F298-622E-4C4F-8217-71D1234A6670 5 0.3774 0.519751 0.000 0.000 0.000 0.296 0.704
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.1270 0.857140 0.000 0.948 0.000 0.052 0.000
#> EB246839-8CB3-4B57-985E-DCEE23692361 4 0.0609 0.699081 0.000 0.000 0.000 0.980 0.020
#> EE213C09-708A-49DC-8DDA-6F9D47021BD6 2 0.2971 0.816472 0.000 0.836 0.000 0.156 0.008
#> 5B898D55-86E1-4201-B716-E1C4AFB4DD3F 2 0.0566 0.855860 0.000 0.984 0.000 0.012 0.004
#> ABC7C15D-440C-4E8F-9479-937589A6AC34 5 0.3452 0.596109 0.000 0.000 0.000 0.244 0.756
#> 61739A8D-6F47-48D1-8ED2-D31674159B04 4 0.3990 0.520168 0.004 0.000 0.000 0.688 0.308
#> 743BCEE9-B5E2-4347-820D-7D9834A9D1DD 4 0.0771 0.693693 0.004 0.020 0.000 0.976 0.000
#> 0C6BEC3A-7C61-4470-B92C-A1471CEAA3D7 1 0.5912 0.176833 0.536 0.000 0.000 0.116 0.348
#> F2E4F336-2EFD-4378-91CD-1274EE90F7E7 3 0.0000 0.948399 0.000 0.000 1.000 0.000 0.000
#> 8C71539D-374D-4C12-A456-8BD16A7341A7 5 0.0324 0.737823 0.004 0.000 0.000 0.004 0.992
#> 5B74E1F9-554E-49BE-9F94-93833638B8F3 5 0.4273 0.053355 0.448 0.000 0.000 0.000 0.552
#> 785376B4-CBAE-4014-B08C-58A42A88583B 5 0.3409 0.704227 0.160 0.000 0.000 0.024 0.816
#> EABC2112-40BD-4CB5-BCB6-FE186F4AC8DE 2 0.0510 0.858666 0.000 0.984 0.000 0.016 0.000
#> 3B5EB8E5-1893-4974-B0AE-02B543920DE0 2 0.0404 0.856602 0.000 0.988 0.000 0.012 0.000
#> 47C3A687-97C6-4BA4-9EFA-D7B694E829DF 5 0.1851 0.732234 0.000 0.000 0.000 0.088 0.912
#> 851B9B77-547A-43CC-B939-428E0A26C67C 5 0.4040 0.554613 0.000 0.016 0.000 0.260 0.724
#> BA344E81-712C-4E20-AB0C-006E8E3F5DB1 2 0.1018 0.855621 0.000 0.968 0.016 0.000 0.016
#> B56D29F2-ADF4-43B9-9013-071466244B4A 2 0.4367 0.355242 0.000 0.580 0.416 0.004 0.000
#> E99FFBF9-F3E3-4044-A4A3-46B8685B2EF0 3 0.0000 0.948399 0.000 0.000 1.000 0.000 0.000
#> 090923E5-DC40-4C4D-AE14-B5EE55A4DE28 1 0.0000 0.824032 1.000 0.000 0.000 0.000 0.000
#> 099DEEEA-0FD5-4A41-B823-4069B37139C0 5 0.0771 0.742568 0.000 0.004 0.000 0.020 0.976
#> 482285EC-BA43-441D-9986-7937B61A81D1 2 0.4567 0.481694 0.000 0.628 0.356 0.004 0.012
#> 0D977AAF-99FD-4AE6-B33A-5475DCF714E6 4 0.4171 0.374983 0.000 0.000 0.000 0.604 0.396
#> 9709F7C5-4A89-49E5-9983-8D94EEFEC50D 2 0.4305 0.247828 0.000 0.512 0.000 0.488 0.000
#> BB952D23-2B5D-4A11-8DFD-4EF6902C4277 4 0.2929 0.639429 0.000 0.000 0.000 0.820 0.180
#> 87432922-178A-451F-AB92-56FFED13EF3E 1 0.0000 0.824032 1.000 0.000 0.000 0.000 0.000
#> 70012472-10D5-4D3B-8527-8BDE5D6ABB52 1 0.2516 0.761975 0.860 0.000 0.000 0.000 0.140
#> 1E073788-CCA7-4A08-8D8F-003629E8977B 3 0.0000 0.948399 0.000 0.000 1.000 0.000 0.000
#> 1243D92B-57EF-4A19-B09D-8D0D440248C1 2 0.4321 0.381513 0.396 0.600 0.000 0.000 0.004
#> 3B6CE2E6-9A99-4CD7-9529-AA3AB2B300DD 1 0.4010 0.726261 0.796 0.000 0.000 0.088 0.116
#> AA838488-4A13-4998-B261-91590113F37D 5 0.4684 -0.115632 0.452 0.004 0.000 0.008 0.536
#> D5D79E2E-4CF2-4D34-AFFF-828AEB1B3DBF 5 0.0880 0.742570 0.000 0.000 0.000 0.032 0.968
#> 0C022C5D-A7E4-4A3B-866C-4E340866B189 2 0.3688 0.792519 0.000 0.816 0.000 0.124 0.060
#> E0FA09A7-803A-42DA-A2A7-A45641C68BC3 1 0.0000 0.824032 1.000 0.000 0.000 0.000 0.000
#> 75D01024-55D5-48FD-AA1D-521C061ACBD8 4 0.3730 0.546578 0.000 0.000 0.000 0.712 0.288
#> C6D88493-258C-481E-B3A4-75DA86C25C43 5 0.3612 0.566500 0.000 0.000 0.000 0.268 0.732
#> DE4C2391-1894-4D4B-B3FF-CE9F76D63C7E 4 0.0510 0.698970 0.000 0.000 0.000 0.984 0.016
#> 1DB381EB-38D1-4650-AA1E-F05E221DED7B 2 0.1908 0.841109 0.000 0.908 0.000 0.092 0.000
#> 3B75B209-7F40-4227-BDEF-57D49005DD39 2 0.0609 0.858569 0.000 0.980 0.000 0.020 0.000
#> F335C5A4-60B0-4DD0-95B6-FFD25E34ED74 5 0.3051 0.729322 0.120 0.000 0.000 0.028 0.852
#> BBEDADDC-71AD-4E50-99B8-A1560DC2A7BE 5 0.3551 0.737360 0.096 0.008 0.000 0.056 0.840
#> 5E9E81E2-0E8B-4ACA-ACED-6CE451FA3262 5 0.4084 0.467628 0.000 0.004 0.000 0.328 0.668
#> 761DED17-E9A0-44F2-A6D2-2C5648F8B66C 2 0.0162 0.857857 0.000 0.996 0.000 0.004 0.000
#> 1C77DE54-20AA-48FA-9681-BDEE0E339597 1 0.0000 0.824032 1.000 0.000 0.000 0.000 0.000
#> 081452CB-9401-4678-9BA2-431CB2ECF105 2 0.0162 0.857857 0.000 0.996 0.000 0.004 0.000
#> 89430A30-8758-4E5B-8186-999EA234E39A 4 0.0671 0.698069 0.000 0.016 0.000 0.980 0.004
#> 77C43235-B40F-47A8-B70F-0CB4B25064E7 5 0.4260 0.428912 0.236 0.016 0.000 0.012 0.736
#> 93492AEE-B4C2-4839-AC13-E46BA43F8F67 2 0.2470 0.838732 0.000 0.884 0.012 0.104 0.000
#> 2EEB6617-E74C-43C3-86B9-B21F7FBE421C 1 0.0162 0.822270 0.996 0.000 0.000 0.004 0.000
#> 705D8441-3436-49B6-9575-E77C5252844A 4 0.5240 0.531026 0.092 0.000 0.000 0.656 0.252
#> EFA708D5-586A-4184-B614-48AEFC5E8631 2 0.0162 0.858261 0.000 0.996 0.000 0.004 0.000
#> 49170BDC-8725-43A0-B2D7-CCB52FA415E6 2 0.2006 0.831877 0.000 0.916 0.000 0.012 0.072
#> 383CDDB1-D48A-4943-8F96-5496FF27A3DC 5 0.4706 -0.191498 0.488 0.008 0.000 0.004 0.500
#> 42D7AA25-E56A-4063-8936-B5B32A61C54C 2 0.0451 0.857981 0.000 0.988 0.000 0.004 0.008
#> 88896BDC-93C2-43CB-A943-EB5CCE415942 1 0.0000 0.824032 1.000 0.000 0.000 0.000 0.000
#> 9AFEA9AB-F51F-4687-B428-9CD13C0A25AA 2 0.2771 0.815725 0.000 0.860 0.000 0.128 0.012
#> FE20F72D-EF2B-4930-B078-A1D5FFF51A99 2 0.2179 0.831321 0.000 0.888 0.000 0.112 0.000
#> 1245A591-47EF-4B89-90F1-F5E0E6201A47 3 0.1043 0.921680 0.000 0.000 0.960 0.040 0.000
#> 1FD7EC3D-5CAE-4ED3-923E-7F3CF34A6379 4 0.2648 0.615679 0.152 0.000 0.000 0.848 0.000
#> 9A0DA1CF-15C1-41A9-A5FA-390D4B8E60C6 2 0.0324 0.858475 0.000 0.992 0.000 0.004 0.004
#> 32407D6D-B5C8-4D40-8BCD-136C286A9D2E 2 0.4387 0.531405 0.000 0.640 0.000 0.012 0.348
#> 731766C4-886A-4DA9-ABF2-ACF9C6377E43 4 0.4283 0.222863 0.000 0.000 0.000 0.544 0.456
#> 28084EFC-2C15-4B9A-BF7F-15AAFFA81BE4 1 0.0703 0.819200 0.976 0.000 0.000 0.000 0.024
#> D5940362-40B3-42FA-8D71-FB9FDCDACE1E 4 0.1908 0.685187 0.000 0.000 0.000 0.908 0.092
#> FB351E18-3BCB-46B6-A33B-8A7022D4B35A 2 0.4911 0.712178 0.008 0.736 0.000 0.132 0.124
#> 831A013C-9F48-4F4E-BA7C-F60242EAF426 2 0.3480 0.715070 0.000 0.752 0.000 0.248 0.000
#> 15532795-F8EC-4460-9972-82EC355E3B06 2 0.0324 0.858475 0.000 0.992 0.000 0.004 0.004
#> 7D6617EA-317A-4E3F-81E6-48AAE3C83065 5 0.5195 0.625635 0.144 0.000 0.000 0.168 0.688
#> 532B55EC-F9C1-4ECF-B823-DAB7FCCB0D71 4 0.2852 0.571844 0.000 0.172 0.000 0.828 0.000
#> FB14EA09-427A-4B38-BEDF-6747CB89B3CF 5 0.0609 0.739497 0.020 0.000 0.000 0.000 0.980
#> 3D3E5993-9E56-4A95-928E-012B62959711 3 0.0000 0.948399 0.000 0.000 1.000 0.000 0.000
#> 5BBED58A-EACB-4E1E-8C26-529A9ADF1B48 4 0.5954 0.437754 0.152 0.000 0.000 0.576 0.272
#> 8A965FB5-452D-424A-9708-36C2D7DD6B80 1 0.0000 0.824032 1.000 0.000 0.000 0.000 0.000
#> C196188B-7979-4AEF-8CAA-5187BD4F955D 2 0.4429 0.708447 0.000 0.744 0.192 0.064 0.000
#> E4FEF37B-21A9-407C-B76C-B01FFBFB8A9E 4 0.0794 0.698697 0.000 0.000 0.000 0.972 0.028
#> 3E070741-BBA0-4806-8D74-08595E249252 4 0.4397 0.302784 0.004 0.000 0.000 0.564 0.432
#> 0393537D-9E6D-4740-A109-B201C6B0F2FA 4 0.4283 0.073467 0.456 0.000 0.000 0.544 0.000
#> 4A8F7D08-654E-4200-9B80-975D2ED0B205 1 0.0000 0.824032 1.000 0.000 0.000 0.000 0.000
#> 63F8F62E-0F65-4661-A995-932EE668CDC2 4 0.4371 0.463001 0.012 0.000 0.000 0.644 0.344
#> F521826B-B2EC-4000-9CE0-935F331AF562 3 0.0000 0.948399 0.000 0.000 1.000 0.000 0.000
#> 25652859-77A4-43A3-8C72-B78E7F165924 5 0.0609 0.732343 0.000 0.020 0.000 0.000 0.980
#> D7BE9E8F-9C5F-4E1C-940B-7EF67FAD520D 2 0.2843 0.804877 0.000 0.848 0.000 0.144 0.008
#> 4CA559EF-D8B9-400B-972C-693257124C3D 5 0.4015 0.414106 0.000 0.000 0.000 0.348 0.652
#> 47DF123D-BB72-43BC-B7D6-CACA55AF62F7 4 0.4210 0.333817 0.000 0.000 0.000 0.588 0.412
#> AE84B2BB-3A67-4488-B7EF-8F03FBC5137E 2 0.0566 0.855860 0.000 0.984 0.000 0.012 0.004
#> B313B59F-B39D-4CCE-A693-820BB0140B4C 4 0.3242 0.529337 0.216 0.000 0.000 0.784 0.000
#> 1B23AAA7-0BB6-4453-BDE4-203705959E24 2 0.0955 0.859944 0.000 0.968 0.000 0.028 0.004
#> CBCD94D3-8B4D-44BA-9A35-CD7033DD6904 2 0.1544 0.852446 0.000 0.932 0.000 0.068 0.000
#> 48702AA0-55E7-4D52-ACE3-FD017F498216 2 0.1410 0.856242 0.000 0.940 0.000 0.060 0.000
#> 6B5D346F-F5CE-4AA5-A8D9-E50EBEE04A8E 1 0.4150 0.437265 0.612 0.000 0.000 0.000 0.388
#> 1DDD38B4-6B48-4F49-B5AD-B017423E9439 2 0.2909 0.787046 0.000 0.848 0.000 0.012 0.140
#> F7B2E263-F0AE-440E-96C5-139233079A06 2 0.0162 0.857570 0.000 0.996 0.000 0.004 0.000
#> 877A720D-6399-4EF1-81CA-E9F65A6620DD 4 0.4060 0.444154 0.000 0.000 0.000 0.640 0.360
#> 17349241-FDBC-4297-8431-BB9400D87E63 4 0.1952 0.678319 0.084 0.000 0.000 0.912 0.004
#> 0B5ABDD3-4C45-4111-9D9C-D549062D8728 3 0.0162 0.946540 0.000 0.004 0.996 0.000 0.000
#> BBDB5902-5C48-415D-913D-3B9876E49C1F 5 0.0290 0.740892 0.000 0.000 0.000 0.008 0.992
#> 90B53BBE-689F-45BB-B298-F0501A98DB77 5 0.1270 0.742102 0.000 0.000 0.000 0.052 0.948
#> 09746216-55AC-44A9-BEE0-8C8EA107E4B0 3 0.0000 0.948399 0.000 0.000 1.000 0.000 0.000
#> 3FF43698-82C6-45C7-ADFE-993D3B489ABB 5 0.0162 0.740251 0.004 0.000 0.000 0.000 0.996
#> D227D812-6DF9-4954-9A50-6EBF6486116C 1 0.5598 0.390262 0.544 0.080 0.000 0.000 0.376
#> 49B29CC1-5D16-4246-A80E-0F72F32B292C 2 0.1430 0.849272 0.000 0.944 0.052 0.004 0.000
#> F5C738D8-BA85-4B03-B695-FFDCB7DD1F0C 2 0.2624 0.804182 0.000 0.872 0.000 0.012 0.116
#> 8B23AB23-8931-42CA-972D-1528D44BF218 4 0.0671 0.698069 0.000 0.016 0.000 0.980 0.004
#> C2CE5504-64EF-4BB8-8093-AA58C49A9134 2 0.2439 0.826246 0.000 0.876 0.000 0.120 0.004
#> CA079767-91A3-48A0-9D73-3CD9BFDE1F60 4 0.4235 0.306879 0.000 0.000 0.000 0.576 0.424
#> EBC6ED03-E935-4CE7-8890-5BBBDE22D555 2 0.1043 0.858215 0.000 0.960 0.000 0.040 0.000
#> CAB8E91A-CA41-4C62-AF53-3AA4057D68D5 1 0.4359 0.301393 0.584 0.000 0.000 0.004 0.412
#> 0D7A3C83-DF0A-4480-8A77-062E5CDA3869 1 0.3491 0.679475 0.768 0.000 0.000 0.004 0.228
#> C1BE8671-4ACA-45CA-962D-D1C367257D37 1 0.0000 0.824032 1.000 0.000 0.000 0.000 0.000
#> C9346EB0-5E93-4D4A-829D-707FF25063A5 2 0.3910 0.663909 0.000 0.720 0.000 0.008 0.272
#> FC6ABB5E-A84E-46F4-B0EE-1B3416FD4E36 2 0.0000 0.857688 0.000 1.000 0.000 0.000 0.000
#> 7702BEDB-2351-4CC7-A513-A5AEB871F37A 5 0.3707 0.552699 0.000 0.000 0.000 0.284 0.716
#> B5E41416-B5D8-4916-BF8C-73EE20B4AF2F 5 0.3690 0.656538 0.200 0.000 0.000 0.020 0.780
#> E8D1B277-BE06-4E8C-AD89-C93A4BA4394D 2 0.4323 0.561653 0.000 0.656 0.000 0.012 0.332
#> CA61411F-1FEB-4E2E-9B86-DEE9D1A8E81B 5 0.4248 0.613988 0.240 0.000 0.000 0.032 0.728
#> 757CED44-B6F7-4B79-BDBC-EA5AB0616664 5 0.3646 0.719428 0.012 0.000 0.100 0.052 0.836
#> 1BFD7F0B-293D-428E-B928-702AAADDB8C6 2 0.4452 0.084307 0.496 0.500 0.000 0.004 0.000
#> 98B4D954-E9E6-45B3-BE58-F8F92DFB3FD5 2 0.0324 0.858475 0.000 0.992 0.000 0.004 0.004
#> E10F8D15-F8CF-4FCC-9EEA-AC7B503C6D22 1 0.3355 0.694150 0.804 0.012 0.000 0.184 0.000
#> 3A3B4D6A-B1D3-4E24-ABF1-8378D1884708 1 0.4297 0.091938 0.528 0.000 0.472 0.000 0.000
#> 66CE14B8-F201-463D-9CA0-4F01BC82CCCF 2 0.2482 0.830169 0.084 0.892 0.000 0.024 0.000
#> C7698440-CD13-438F-A60F-063D94C9ECAD 4 0.4150 0.411879 0.000 0.000 0.000 0.612 0.388
#> 57787823-A815-4783-930C-A5752E48FFBA 3 0.0693 0.934811 0.000 0.000 0.980 0.008 0.012
#> 8956A38E-5C9A-4077-BA5F-1472B2B86AFB 5 0.1478 0.739645 0.000 0.000 0.000 0.064 0.936
#> E374F34C-1D42-41B1-8740-EDE2026D44BE 2 0.3980 0.675361 0.000 0.708 0.000 0.284 0.008
#> B90927EE-2978-45BC-872B-200DE436605C 1 0.4193 0.566522 0.720 0.000 0.000 0.256 0.024
#> 08C4C14A-94A8-4063-BBC3-916579960078 2 0.3932 0.610304 0.000 0.672 0.000 0.328 0.000
#> B11753A0-829F-4913-B894-F07A53FF1C92 5 0.2300 0.747584 0.052 0.000 0.000 0.040 0.908
#> 8CCACC35-D051-423B-81E5-B86EE7EC08BD 4 0.4640 -0.000258 0.016 0.400 0.000 0.584 0.000
#> 2B980C5A-2D45-46F6-B95F-CCCB152A9381 2 0.0000 0.857688 0.000 1.000 0.000 0.000 0.000
#> B3B87DC5-D5C7-4F3A-8BEA-CBDC8195D9C3 4 0.0693 0.698856 0.000 0.012 0.000 0.980 0.008
#> 0E4BDB12-14FD-4597-A6CB-1522ECF506CA 5 0.2848 0.736250 0.104 0.000 0.000 0.028 0.868
#> C6E19C8F-F9EE-4389-BAC7-1A6B677722B7 5 0.3932 0.449388 0.000 0.000 0.000 0.328 0.672
#> 30233F12-3C5C-4D67-95D6-8314D65C194C 5 0.2424 0.629271 0.000 0.132 0.000 0.000 0.868
#> A1D25EA2-DB49-46B4-95AF-DCDC24877930 4 0.5148 0.501966 0.072 0.008 0.236 0.684 0.000
#> E84904D7-5996-46BC-8B14-5C14249F0667 4 0.4517 0.275847 0.008 0.000 0.000 0.556 0.436
#> 230CE4A2-75BF-4EA1-BE35-DD55B36092C8 2 0.0162 0.857570 0.000 0.996 0.000 0.004 0.000
#> ED880978-BC91-4BA5-A02E-CF10732BA7B4 3 0.4015 0.390973 0.000 0.348 0.652 0.000 0.000
#> AB011B34-55E1-4ABB-B602-0D6F91A56DD8 4 0.4300 -0.203963 0.000 0.476 0.000 0.524 0.000
#> 558395B1-B3FC-47AB-81EB-899D70B374B3 4 0.0671 0.698069 0.000 0.016 0.000 0.980 0.004
#> C6D148B8-898E-4F7F-BE4E-446A9465281F 5 0.0162 0.740251 0.004 0.000 0.000 0.000 0.996
#> 2658C59E-18D8-487B-867B-DBC0A86CAEA1 1 0.4150 0.438507 0.612 0.000 0.000 0.000 0.388
#> BD59A7E3-4720-40C4-8FE4-2A1002BEF1A9 3 0.1341 0.893617 0.000 0.000 0.944 0.000 0.056
#> 8812DD6D-D245-4752-878F-496B164A21A3 1 0.0000 0.824032 1.000 0.000 0.000 0.000 0.000
#> 982B7F51-6048-4558-8D72-AEAB6EDC2330 1 0.2488 0.775744 0.872 0.000 0.000 0.004 0.124
#> CBE2EE3A-361E-47BD-A85C-761F0465D52E 2 0.1043 0.856524 0.000 0.960 0.000 0.040 0.000
#> AF25AEEF-29CE-4755-8259-206BF32F6ADF 3 0.0510 0.939322 0.000 0.016 0.984 0.000 0.000
#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.2179 0.835625 0.000 0.888 0.000 0.112 0.000
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 5 0.0000 0.739318 0.000 0.000 0.000 0.000 1.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.4419 0.578719 0.000 0.668 0.000 0.312 0.020
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 5 0.4305 -0.072543 0.000 0.000 0.000 0.488 0.512
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 5 0.0865 0.728631 0.000 0.024 0.000 0.004 0.972
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 4 0.2471 0.612450 0.000 0.136 0.000 0.864 0.000
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0000 0.948399 0.000 0.000 1.000 0.000 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.0854 0.855890 0.000 0.976 0.008 0.012 0.004
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 5 0.6068 0.252978 0.000 0.140 0.000 0.328 0.532
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 4 0.2179 0.677590 0.000 0.000 0.000 0.888 0.112
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 5 0.4288 0.113410 0.384 0.000 0.000 0.004 0.612
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 4 0.0609 0.694394 0.000 0.020 0.000 0.980 0.000
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 5 0.3432 0.724743 0.132 0.000 0.000 0.040 0.828
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.0510 0.858842 0.000 0.984 0.000 0.016 0.000
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 5 0.2446 0.745413 0.044 0.000 0.000 0.056 0.900
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0000 0.948399 0.000 0.000 1.000 0.000 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 4 0.0798 0.698364 0.000 0.016 0.000 0.976 0.008
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 5 0.4225 0.289284 0.000 0.004 0.000 0.364 0.632
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.2358 0.831901 0.000 0.888 0.000 0.104 0.008
#> CC008807-7264-4593-966F-104992B35873 2 0.2929 0.785529 0.000 0.820 0.000 0.180 0.000
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 5 0.4751 0.673797 0.152 0.000 0.000 0.116 0.732
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 1 0.3109 0.712473 0.800 0.000 0.000 0.000 0.200
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 4 0.3966 0.647174 0.072 0.000 0.000 0.796 0.132
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 5 0.2605 0.695637 0.000 0.000 0.000 0.148 0.852
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 5 0.2592 0.745896 0.056 0.000 0.000 0.052 0.892
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 5 0.4060 0.403943 0.000 0.000 0.000 0.360 0.640
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 1 0.0000 0.824032 1.000 0.000 0.000 0.000 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 3 0.1965 0.892488 0.000 0.024 0.924 0.052 0.000
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 4 0.0693 0.699268 0.000 0.008 0.000 0.980 0.012
#> 67E92530-3B19-424C-B219-958A88909046 1 0.1106 0.813720 0.964 0.000 0.000 0.024 0.012
#> 548F421F-046B-4209-9B20-1A6F32424738 1 0.0000 0.824032 1.000 0.000 0.000 0.000 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 4 0.4161 0.383959 0.000 0.000 0.000 0.608 0.392
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 1 0.0000 0.824032 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
#> 8415842D-D450-49EE-ADAB-AEBEAE7CA33B 2 0.4210 0.40918 0.028 0.768 0.036 0.000 0.160 0.008
#> 394E9A0D-EBD7-4291-A930-FF39065AE9BF 1 0.5483 0.42396 0.560 0.004 0.000 0.000 0.140 0.296
#> B626F298-622E-4C4F-8217-71D1234A6670 1 0.5536 0.39155 0.536 0.000 0.000 0.000 0.164 0.300
#> 85C4E672-6BCC-4CC2-9C1B-14DD48329E5A 2 0.2815 0.49725 0.000 0.848 0.000 0.000 0.120 0.032
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#> 9476B301-4565-4E7F-A4E4-53ABB988DCA8 2 0.3657 0.43384 0.000 0.792 0.000 0.000 0.108 0.100
#> 3957A19C-58B2-41D2-9C57-296B101DE3AF 1 0.0547 0.62560 0.980 0.000 0.000 0.000 0.020 0.000
#> 8EC46C11-BAC0-485F-B341-52E78BE49933 2 0.6787 0.09597 0.108 0.508 0.000 0.000 0.212 0.172
#> 3257219C-86F3-4C84-B7DA-77130BE7191A 1 0.4475 0.00679 0.528 0.000 0.000 0.008 0.016 0.448
#> 379E3E31-B8D3-43FF-BFA5-025274CA8DB8 1 0.2887 0.60357 0.856 0.032 0.000 0.000 0.104 0.008
#> 34E89850-0957-417B-A1EF-1CA7353FADAD 6 0.2448 0.63500 0.000 0.052 0.000 0.000 0.064 0.884
#> C174B41A-84C4-4A33-9C21-48DEE5029DDB 3 0.0363 0.86339 0.000 0.000 0.988 0.000 0.012 0.000
#> E4A195D9-E8C0-48E5-9C9D-1EE5022BB252 2 0.1261 0.49870 0.000 0.952 0.024 0.000 0.024 0.000
#> 61681CDD-AE80-4B74-B8DC-242FDED47B81 1 0.7130 0.37730 0.432 0.112 0.000 0.000 0.260 0.196
#> 064BAA54-F97E-49AC-96E9-88A450BE29F3 6 0.2846 0.65760 0.060 0.000 0.000 0.000 0.084 0.856
#> A5C1A8DA-5F75-4B34-8FEA-FC9E9F43E58B 1 0.5841 0.05839 0.464 0.000 0.000 0.332 0.204 0.000
#> A92391CC-F08D-4F78-91D6-60BB7D9CB1B0 6 0.2328 0.64724 0.000 0.052 0.000 0.000 0.056 0.892
#> 65858DA4-5B76-4591-8E55-FE6CE5C3056F 1 0.4932 0.53738 0.716 0.000 0.000 0.148 0.052 0.084
#> EB818546-2380-480F-AA7A-529857F5912C 2 0.4141 -0.06598 0.000 0.556 0.000 0.000 0.432 0.012
#> 7E22D9F6-0812-47BA-B9A0-77873E566FE1 1 0.3754 0.58376 0.800 0.000 0.000 0.112 0.012 0.076
#> D041C621-DB01-4B9E-93F4-45358EF3ED97 3 0.0547 0.86376 0.000 0.000 0.980 0.000 0.020 0.000
#> 2E8F3CEF-6852-4118-A6DF-513C72488013 6 0.3092 0.67104 0.104 0.000 0.000 0.000 0.060 0.836
#> 3258F5D4-ED7C-40B7-BE48-00C0DCF581B3 1 0.4861 0.07138 0.552 0.008 0.000 0.000 0.044 0.396
#> 0832CF9E-63CE-4EEE-91FE-FDFC0EA20717 2 0.4299 0.42122 0.060 0.756 0.000 0.000 0.156 0.028
#> CC008807-7264-4593-966F-104992B35873 2 0.4832 0.35075 0.044 0.724 0.004 0.000 0.164 0.064
#> 6A7C9F33-2061-42F9-B6A1-C94B9360904D 1 0.5103 0.53134 0.684 0.000 0.000 0.196 0.072 0.048
#> 8982BEEE-CC8E-4717-B931-5C51EBF2E308 4 0.4254 0.41668 0.404 0.000 0.000 0.576 0.020 0.000
#> 94242D26-BEF3-430D-91C2-31C5091AC9EE 6 0.5127 0.45327 0.284 0.000 0.000 0.060 0.028 0.628
#> 51BC8179-4EFC-496B-86EA-1924A2332C1D 1 0.3896 0.56076 0.748 0.000 0.000 0.000 0.056 0.196
#> 97C1941B-4A6B-4AFC-A709-B5F36DC79026 1 0.5207 0.58569 0.696 0.000 0.000 0.148 0.076 0.080
#> E30518E1-1A9E-4527-99C8-186E3D6F7C93 1 0.5487 0.38607 0.532 0.000 0.000 0.000 0.148 0.320
#> 6ACDCE8A-90B7-4B26-8338-AC4D9766BCF7 4 0.0146 0.67845 0.000 0.000 0.000 0.996 0.004 0.000
#> 62EF9B49-D1C1-4053-B863-721A7B93CA99 3 0.3857 0.71115 0.000 0.148 0.776 0.000 0.004 0.072
#> 33D74C0E-4DD2-47D3-AA85-A8928FF0E1A7 6 0.1716 0.67221 0.004 0.028 0.000 0.000 0.036 0.932
#> 67E92530-3B19-424C-B219-958A88909046 4 0.3564 0.61848 0.200 0.000 0.000 0.772 0.008 0.020
#> 548F421F-046B-4209-9B20-1A6F32424738 4 0.0146 0.67845 0.000 0.000 0.000 0.996 0.004 0.000
#> AD2CD9EC-098B-47EF-A057-12427F6BFDF1 6 0.4500 0.50798 0.224 0.000 0.000 0.000 0.088 0.688
#> 5838F42E-5238-4FF1-BB82-05E3E3E5ABDC 4 0.2489 0.65355 0.128 0.000 0.000 0.860 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.
sessionInfo()
#> R version 3.6.0 (2019-04-26)
#> Platform: x86_64-pc-linux-gnu (64-bit)
#> Running under: CentOS Linux 7 (Core)
#>
#> Matrix products: default
#> BLAS: /usr/lib64/libblas.so.3.4.2
#> LAPACK: /usr/lib64/liblapack.so.3.4.2
#>
#> locale:
#> [1] LC_CTYPE=en_GB.UTF-8 LC_NUMERIC=C LC_TIME=en_GB.UTF-8
#> [4] LC_COLLATE=en_GB.UTF-8 LC_MONETARY=en_GB.UTF-8 LC_MESSAGES=en_GB.UTF-8
#> [7] LC_PAPER=en_GB.UTF-8 LC_NAME=C LC_ADDRESS=C
#> [10] LC_TELEPHONE=C LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C
#>
#> attached base packages:
#> [1] grid stats graphics grDevices utils datasets methods base
#>
#> other attached packages:
#> [1] genefilter_1.66.0 ComplexHeatmap_2.3.1 markdown_1.1 knitr_1.26
#> [5] GetoptLong_0.1.7 cola_1.3.2
#>
#> loaded via a namespace (and not attached):
#> [1] circlize_0.4.8 shape_1.4.4 xfun_0.11 slam_0.1-46
#> [5] lattice_0.20-38 splines_3.6.0 colorspace_1.4-1 vctrs_0.2.0
#> [9] stats4_3.6.0 blob_1.2.0 XML_3.98-1.20 survival_2.44-1.1
#> [13] rlang_0.4.2 pillar_1.4.2 DBI_1.0.0 BiocGenerics_0.30.0
#> [17] bit64_0.9-7 RColorBrewer_1.1-2 matrixStats_0.55.0 stringr_1.4.0
#> [21] GlobalOptions_0.1.1 evaluate_0.14 memoise_1.1.0 Biobase_2.44.0
#> [25] IRanges_2.18.3 parallel_3.6.0 AnnotationDbi_1.46.1 highr_0.8
#> [29] Rcpp_1.0.3 xtable_1.8-4 backports_1.1.5 S4Vectors_0.22.1
#> [33] annotate_1.62.0 skmeans_0.2-11 bit_1.1-14 microbenchmark_1.4-7
#> [37] brew_1.0-6 impute_1.58.0 rjson_0.2.20 png_0.1-7
#> [41] digest_0.6.23 stringi_1.4.3 polyclip_1.10-0 clue_0.3-57
#> [45] tools_3.6.0 bitops_1.0-6 magrittr_1.5 eulerr_6.0.0
#> [49] RCurl_1.95-4.12 RSQLite_2.1.4 tibble_2.1.3 cluster_2.1.0
#> [53] crayon_1.3.4 pkgconfig_2.0.3 zeallot_0.1.0 Matrix_1.2-17
#> [57] xml2_1.2.2 httr_1.4.1 R6_2.4.1 mclust_5.4.5
#> [61] compiler_3.6.0