Date: 2019-12-26 01:36:51 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 17395 rows and 473 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 = cores)
Dimension of the input matrix:
mat = get_matrix(res_list)
dim(mat)
#> [1] 17395 473
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 | ||
|---|---|---|---|---|---|---|
| ATC:kmeans | 3 | 1.000 | 0.965 | 0.987 | ** | 2 |
| ATC:skmeans | 2 | 1.000 | 0.984 | 0.993 | ** | |
| ATC:mclust | 2 | 1.000 | 0.982 | 0.992 | ** | |
| ATC:pam | 3 | 0.996 | 0.961 | 0.985 | ** | 2 |
| CV:NMF | 4 | 0.825 | 0.864 | 0.932 | ||
| CV:kmeans | 4 | 0.815 | 0.851 | 0.924 | ||
| CV:skmeans | 5 | 0.798 | 0.826 | 0.905 | ||
| MAD:mclust | 4 | 0.722 | 0.837 | 0.921 | ||
| SD:kmeans | 4 | 0.707 | 0.805 | 0.874 | ||
| MAD:skmeans | 2 | 0.687 | 0.843 | 0.933 | ||
| SD:skmeans | 2 | 0.680 | 0.817 | 0.925 | ||
| CV:mclust | 5 | 0.680 | 0.719 | 0.852 | ||
| SD:mclust | 4 | 0.649 | 0.778 | 0.891 | ||
| MAD:pam | 4 | 0.618 | 0.753 | 0.856 | ||
| MAD:NMF | 2 | 0.539 | 0.854 | 0.910 | ||
| CV:pam | 5 | 0.510 | 0.646 | 0.787 | ||
| ATC:hclust | 3 | 0.492 | 0.724 | 0.861 | ||
| MAD:kmeans | 2 | 0.468 | 0.831 | 0.871 | ||
| SD:pam | 4 | 0.439 | 0.578 | 0.770 | ||
| ATC:NMF | 4 | 0.400 | 0.597 | 0.748 | ||
| SD:NMF | 2 | 0.384 | 0.783 | 0.864 | ||
| CV:hclust | 3 | 0.348 | 0.727 | 0.868 | ||
| SD:hclust | 3 | 0.150 | 0.517 | 0.703 | ||
| MAD:hclust | 3 | 0.147 | 0.521 | 0.697 |
**: 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 0.384 0.783 0.864 0.475 0.507 0.507
#> CV:NMF 2 0.373 0.684 0.779 0.402 0.504 0.504
#> MAD:NMF 2 0.539 0.854 0.910 0.458 0.546 0.546
#> ATC:NMF 2 0.555 0.792 0.901 0.288 0.794 0.794
#> SD:skmeans 2 0.680 0.817 0.925 0.499 0.502 0.502
#> CV:skmeans 2 0.446 0.802 0.890 0.487 0.505 0.505
#> MAD:skmeans 2 0.687 0.843 0.933 0.499 0.502 0.502
#> ATC:skmeans 2 1.000 0.984 0.993 0.463 0.536 0.536
#> SD:mclust 2 0.231 0.684 0.819 0.410 0.586 0.586
#> CV:mclust 2 0.636 0.900 0.950 0.284 0.766 0.766
#> MAD:mclust 2 0.356 0.663 0.838 0.445 0.540 0.540
#> ATC:mclust 2 1.000 0.982 0.992 0.332 0.671 0.671
#> SD:kmeans 2 0.457 0.820 0.860 0.456 0.512 0.512
#> CV:kmeans 2 0.396 0.757 0.810 0.349 0.574 0.574
#> MAD:kmeans 2 0.468 0.831 0.871 0.456 0.510 0.510
#> ATC:kmeans 2 1.000 0.972 0.988 0.351 0.649 0.649
#> SD:pam 2 0.177 0.381 0.696 0.397 0.502 0.502
#> CV:pam 2 0.288 0.695 0.818 0.269 0.863 0.863
#> MAD:pam 2 0.239 0.699 0.836 0.460 0.550 0.550
#> ATC:pam 2 1.000 0.983 0.994 0.293 0.710 0.710
#> SD:hclust 2 0.107 0.326 0.721 0.370 0.656 0.656
#> CV:hclust 2 0.683 0.755 0.931 0.128 0.992 0.992
#> MAD:hclust 2 0.114 0.407 0.711 0.366 0.560 0.560
#> ATC:hclust 2 0.722 0.860 0.940 0.338 0.659 0.659
get_stats(res_list, k = 3)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 3 0.567 0.658 0.855 0.316 0.631 0.401
#> CV:NMF 3 0.494 0.700 0.853 0.507 0.681 0.486
#> MAD:NMF 3 0.599 0.691 0.871 0.384 0.640 0.432
#> ATC:NMF 3 0.236 0.518 0.719 1.011 0.621 0.528
#> SD:skmeans 3 0.658 0.636 0.806 0.317 0.744 0.537
#> CV:skmeans 3 0.620 0.803 0.892 0.328 0.747 0.542
#> MAD:skmeans 3 0.608 0.576 0.809 0.318 0.724 0.505
#> ATC:skmeans 3 0.815 0.864 0.935 0.359 0.814 0.658
#> SD:mclust 3 0.214 0.439 0.698 0.441 0.628 0.455
#> CV:mclust 3 0.374 0.407 0.643 1.115 0.612 0.498
#> MAD:mclust 3 0.342 0.573 0.788 0.281 0.618 0.446
#> ATC:mclust 3 0.496 0.735 0.841 0.707 0.719 0.598
#> SD:kmeans 3 0.604 0.465 0.725 0.388 0.882 0.778
#> CV:kmeans 3 0.491 0.700 0.842 0.531 0.820 0.694
#> MAD:kmeans 3 0.630 0.607 0.782 0.393 0.793 0.620
#> ATC:kmeans 3 1.000 0.965 0.987 0.536 0.753 0.637
#> SD:pam 3 0.337 0.392 0.683 0.545 0.689 0.476
#> CV:pam 3 0.337 0.622 0.780 0.927 0.645 0.590
#> MAD:pam 3 0.467 0.623 0.784 0.317 0.695 0.498
#> ATC:pam 3 0.996 0.961 0.985 0.719 0.746 0.653
#> SD:hclust 3 0.150 0.517 0.703 0.572 0.543 0.397
#> CV:hclust 3 0.348 0.727 0.868 1.212 0.811 0.810
#> MAD:hclust 3 0.147 0.521 0.697 0.578 0.596 0.412
#> ATC:hclust 3 0.492 0.724 0.861 0.454 0.827 0.744
get_stats(res_list, k = 4)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 4 0.680 0.759 0.885 0.1621 0.723 0.388
#> CV:NMF 4 0.825 0.864 0.932 0.1843 0.739 0.458
#> MAD:NMF 4 0.731 0.792 0.895 0.1650 0.748 0.426
#> ATC:NMF 4 0.400 0.597 0.748 0.2361 0.723 0.443
#> SD:skmeans 4 0.719 0.746 0.869 0.1253 0.826 0.551
#> CV:skmeans 4 0.856 0.870 0.948 0.1040 0.873 0.664
#> MAD:skmeans 4 0.778 0.769 0.897 0.1336 0.804 0.502
#> ATC:skmeans 4 0.724 0.812 0.890 0.0975 0.928 0.807
#> SD:mclust 4 0.649 0.778 0.891 0.1420 0.697 0.412
#> CV:mclust 4 0.549 0.641 0.822 0.1765 0.792 0.540
#> MAD:mclust 4 0.722 0.837 0.921 0.1844 0.722 0.478
#> ATC:mclust 4 0.495 0.554 0.765 0.1322 0.823 0.636
#> SD:kmeans 4 0.707 0.805 0.874 0.1330 0.743 0.470
#> CV:kmeans 4 0.815 0.851 0.924 0.1928 0.881 0.735
#> MAD:kmeans 4 0.671 0.796 0.876 0.1355 0.829 0.590
#> ATC:kmeans 4 0.683 0.782 0.892 0.3159 0.738 0.485
#> SD:pam 4 0.439 0.578 0.770 0.1770 0.691 0.353
#> CV:pam 4 0.435 0.576 0.798 0.2983 0.682 0.449
#> MAD:pam 4 0.618 0.753 0.856 0.1805 0.883 0.693
#> ATC:pam 4 0.722 0.768 0.904 0.3881 0.805 0.610
#> SD:hclust 4 0.257 0.502 0.704 0.1673 0.824 0.588
#> CV:hclust 4 0.357 0.609 0.826 0.4551 0.807 0.760
#> MAD:hclust 4 0.252 0.475 0.639 0.1867 0.819 0.590
#> ATC:hclust 4 0.428 0.655 0.804 0.3097 0.732 0.522
get_stats(res_list, k = 5)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 5 0.616 0.521 0.744 0.0826 0.798 0.413
#> CV:NMF 5 0.702 0.706 0.858 0.0919 0.855 0.550
#> MAD:NMF 5 0.676 0.707 0.823 0.0745 0.854 0.520
#> ATC:NMF 5 0.500 0.568 0.719 0.0963 0.819 0.464
#> SD:skmeans 5 0.778 0.695 0.844 0.0692 0.894 0.624
#> CV:skmeans 5 0.798 0.826 0.905 0.1050 0.883 0.616
#> MAD:skmeans 5 0.828 0.812 0.901 0.0638 0.894 0.625
#> ATC:skmeans 5 0.662 0.624 0.791 0.0883 0.917 0.744
#> SD:mclust 5 0.590 0.673 0.779 0.1116 0.911 0.730
#> CV:mclust 5 0.680 0.719 0.852 0.0884 0.821 0.489
#> MAD:mclust 5 0.598 0.656 0.803 0.0971 0.892 0.692
#> ATC:mclust 5 0.599 0.651 0.820 0.0904 0.852 0.625
#> SD:kmeans 5 0.623 0.509 0.694 0.0841 0.889 0.638
#> CV:kmeans 5 0.624 0.522 0.763 0.1488 0.823 0.547
#> MAD:kmeans 5 0.660 0.613 0.781 0.0916 0.845 0.528
#> ATC:kmeans 5 0.664 0.559 0.766 0.0870 0.857 0.566
#> SD:pam 5 0.507 0.346 0.648 0.0683 0.864 0.581
#> CV:pam 5 0.510 0.646 0.787 0.1022 0.893 0.689
#> MAD:pam 5 0.607 0.524 0.745 0.0837 0.882 0.619
#> ATC:pam 5 0.719 0.762 0.903 0.0234 0.979 0.930
#> SD:hclust 5 0.313 0.433 0.657 0.0772 0.966 0.885
#> CV:hclust 5 0.308 0.580 0.780 0.2526 0.878 0.803
#> MAD:hclust 5 0.344 0.456 0.597 0.0858 0.938 0.804
#> ATC:hclust 5 0.472 0.602 0.743 0.1080 0.931 0.801
get_stats(res_list, k = 6)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> SD:NMF 6 0.699 0.662 0.804 0.0420 0.895 0.571
#> CV:NMF 6 0.794 0.774 0.886 0.0553 0.893 0.568
#> MAD:NMF 6 0.670 0.608 0.776 0.0421 0.924 0.662
#> ATC:NMF 6 0.533 0.427 0.626 0.0488 0.857 0.462
#> SD:skmeans 6 0.769 0.693 0.836 0.0372 0.945 0.749
#> CV:skmeans 6 0.721 0.609 0.799 0.0453 0.923 0.665
#> MAD:skmeans 6 0.760 0.680 0.822 0.0407 0.929 0.687
#> ATC:skmeans 6 0.676 0.581 0.765 0.0439 0.934 0.759
#> SD:mclust 6 0.624 0.525 0.736 0.0568 0.920 0.711
#> CV:mclust 6 0.654 0.646 0.779 0.0417 0.893 0.581
#> MAD:mclust 6 0.628 0.512 0.659 0.0658 0.932 0.766
#> ATC:mclust 6 0.599 0.514 0.769 0.0919 0.906 0.710
#> SD:kmeans 6 0.653 0.544 0.695 0.0530 0.855 0.453
#> CV:kmeans 6 0.622 0.636 0.774 0.0739 0.858 0.516
#> MAD:kmeans 6 0.680 0.641 0.763 0.0493 0.889 0.549
#> ATC:kmeans 6 0.643 0.519 0.694 0.0538 0.843 0.445
#> SD:pam 6 0.584 0.403 0.682 0.0447 0.842 0.466
#> CV:pam 6 0.597 0.655 0.782 0.0697 0.881 0.579
#> MAD:pam 6 0.659 0.507 0.742 0.0540 0.900 0.598
#> ATC:pam 6 0.700 0.615 0.824 0.0878 0.884 0.628
#> SD:hclust 6 0.432 0.366 0.628 0.0535 0.939 0.796
#> CV:hclust 6 0.301 0.559 0.767 0.1133 0.932 0.868
#> MAD:hclust 6 0.398 0.401 0.558 0.0509 0.911 0.705
#> ATC:hclust 6 0.490 0.542 0.683 0.0600 0.932 0.782
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 17395 rows and 473 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 0.107 0.326 0.721 0.3698 0.656 0.656
#> 3 3 0.150 0.517 0.703 0.5722 0.543 0.397
#> 4 4 0.257 0.502 0.704 0.1673 0.824 0.588
#> 5 5 0.313 0.433 0.657 0.0772 0.966 0.885
#> 6 6 0.432 0.366 0.628 0.0535 0.939 0.796
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
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.5569 0.000 1.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.8386 0.4081 0.268 0.732
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.9909 -0.4134 0.444 0.556
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.8608 0.3482 0.284 0.716
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.9850 -0.3637 0.428 0.572
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 1 0.9710 0.7590 0.600 0.400
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.9988 -0.4917 0.480 0.520
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.9944 0.2483 0.456 0.544
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.4298 0.5486 0.088 0.912
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 1 0.9944 0.7049 0.544 0.456
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 2 0.9933 0.2635 0.452 0.548
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.9944 -0.4367 0.456 0.544
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.9522 -0.1628 0.372 0.628
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 1 0.9710 0.7577 0.600 0.400
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.8499 0.3518 0.276 0.724
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.2043 0.5613 0.032 0.968
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.9608 -0.1896 0.384 0.616
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.8081 0.3115 0.248 0.752
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.4161 0.5474 0.084 0.916
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0000 0.5569 0.000 1.000
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#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.8207 0.3396 0.256 0.744
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.3274 0.5582 0.060 0.940
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.9754 -0.1408 0.592 0.408
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.7602 0.4074 0.220 0.780
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.0938 0.5597 0.012 0.988
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 2 0.9996 0.2249 0.488 0.512
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.1414 0.5549 0.020 0.980
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.9661 -0.1380 0.392 0.608
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.9977 -0.5001 0.472 0.528
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.1843 0.5611 0.028 0.972
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.9977 -0.4644 0.472 0.528
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 1 0.9732 0.7603 0.596 0.404
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.9954 -0.4918 0.460 0.540
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.5408 0.5394 0.124 0.876
#> 62315297-B01F-4A7F-9C15-5B602099257F 1 0.9754 0.7595 0.592 0.408
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.9286 0.0893 0.344 0.656
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.7528 0.4900 0.216 0.784
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.5842 0.5106 0.140 0.860
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.9775 -0.2627 0.412 0.588
#> 1707CA8B-228E-49F9-B78A-A0171E853376 1 0.9754 0.7610 0.592 0.408
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 1 0.9775 0.7421 0.588 0.412
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.3733 0.5207 0.072 0.928
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.2778 0.5560 0.048 0.952
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 1 0.9754 0.7613 0.592 0.408
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.4161 0.5498 0.084 0.916
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.5408 0.5224 0.124 0.876
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 2 0.9686 0.2675 0.396 0.604
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 1 0.9732 0.7594 0.596 0.404
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.9286 0.0893 0.344 0.656
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.9248 0.1009 0.340 0.660
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.9988 -0.5466 0.480 0.520
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 1 0.9754 0.7595 0.592 0.408
#> EFA48913-D0BD-4530-A445-C327A89CE956 1 0.9998 0.5784 0.508 0.492
#> E36F2243-58F5-41A0-A673-DEAFE0267426 1 0.9754 0.7613 0.592 0.408
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 2 0.9710 0.2663 0.400 0.600
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.9358 -0.0868 0.352 0.648
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.1184 0.5607 0.016 0.984
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.9866 0.3373 0.568 0.432
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 1 0.9732 0.7602 0.596 0.404
#> E5D94733-7D43-4021-8F57-4426EF183682 1 0.9754 0.7613 0.592 0.408
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.7139 0.4380 0.196 0.804
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.9993 0.6339 0.516 0.484
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.2043 0.5616 0.032 0.968
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.9087 0.0949 0.324 0.676
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 2 0.9580 0.3153 0.380 0.620
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0000 0.5569 0.000 1.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0672 0.5592 0.008 0.992
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.5408 0.5223 0.124 0.876
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0376 0.5581 0.004 0.996
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.6973 0.4550 0.188 0.812
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.5569 0.000 1.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.9129 0.1444 0.328 0.672
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.9977 -0.5046 0.472 0.528
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.5569 0.000 1.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 1 0.9710 0.7577 0.600 0.400
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.1843 0.5617 0.028 0.972
#> F4142833-0749-44A4-B769-66262AA4A484 1 1.0000 -0.2237 0.504 0.496
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.7815 0.3855 0.232 0.768
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 1 0.9732 0.7605 0.596 0.404
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.9983 -0.5223 0.476 0.524
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0376 0.5565 0.004 0.996
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 1 0.9954 0.7010 0.540 0.460
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.8861 0.2151 0.304 0.696
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.9686 -0.2446 0.396 0.604
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.9944 -0.4070 0.456 0.544
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.5569 0.000 1.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.9000 0.1875 0.316 0.684
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 1 0.9983 0.6656 0.524 0.476
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.8909 0.2148 0.308 0.692
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.9896 -0.3611 0.440 0.560
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.4022 0.5553 0.080 0.920
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 1 0.9833 0.7436 0.576 0.424
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.6343 0.2251 0.840 0.160
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.3733 0.5506 0.072 0.928
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.3733 0.5506 0.072 0.928
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.9922 -0.3998 0.448 0.552
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 1.0000 0.2278 0.504 0.496
#> 13138496-2362-49FA-9CBF-35EBB0843924 1 0.9896 0.7300 0.560 0.440
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.4562 0.5489 0.096 0.904
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.6048 0.5013 0.148 0.852
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.9248 0.3059 0.340 0.660
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 1 0.9754 0.7613 0.592 0.408
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.8499 0.3076 0.276 0.724
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.118 0.59811 0.012 0.976 0.012
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.838 0.45775 0.124 0.600 0.276
#> 3BBC7540-136B-47C8-9C09-CD423685B742 3 0.719 0.64730 0.076 0.232 0.692
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.626 -0.42665 0.448 0.552 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.743 0.61807 0.072 0.268 0.660
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.153 0.68423 0.040 0.000 0.960
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.743 0.65972 0.188 0.116 0.696
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.808 0.62177 0.544 0.384 0.072
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.505 0.63694 0.024 0.812 0.164
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.393 0.70885 0.028 0.092 0.880
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.626 0.63396 0.724 0.244 0.032
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 3 0.698 0.66728 0.072 0.220 0.708
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.744 0.49930 0.048 0.348 0.604
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.164 0.67821 0.044 0.000 0.956
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.595 -0.24009 0.360 0.640 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.341 0.63328 0.028 0.904 0.068
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.787 0.44314 0.064 0.368 0.568
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.704 0.41056 0.032 0.620 0.348
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.501 0.63686 0.016 0.804 0.180
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.148 0.59638 0.020 0.968 0.012
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.822 0.53590 0.184 0.640 0.176
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.588 0.68437 0.072 0.136 0.792
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.535 0.63528 0.040 0.808 0.152
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.409 0.71470 0.036 0.088 0.876
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.630 0.58020 0.520 0.480 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.200 0.62365 0.012 0.952 0.036
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.535 0.62979 0.040 0.808 0.152
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 3 0.818 0.61601 0.224 0.140 0.636
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.212 0.62475 0.012 0.948 0.040
#> D48A0C08-C253-49EA-9083-DCA68541072B 3 0.877 0.38964 0.120 0.364 0.516
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 3 0.796 0.55176 0.092 0.288 0.620
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.164 0.67821 0.044 0.000 0.956
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.326 0.70121 0.040 0.048 0.912
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.255 0.63151 0.012 0.932 0.056
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.622 0.56342 0.568 0.432 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.177 0.61204 0.016 0.960 0.024
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.153 0.67914 0.040 0.000 0.960
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 3 0.695 0.68748 0.156 0.112 0.732
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.318 0.71205 0.024 0.064 0.912
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.218 0.69426 0.032 0.020 0.948
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.824 0.50001 0.092 0.336 0.572
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.715 0.63234 0.696 0.228 0.076
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.551 0.63637 0.044 0.800 0.156
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.740 0.39417 0.048 0.612 0.340
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.507 0.33546 0.196 0.792 0.012
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.614 0.63977 0.736 0.232 0.032
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.968 -0.05555 0.216 0.416 0.368
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.715 0.60038 0.128 0.720 0.152
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 3 0.876 0.56025 0.220 0.192 0.588
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.674 0.58658 0.052 0.708 0.240
#> F8FF0B4E-0868-417C-9118-F484437E57DA 3 0.971 0.30972 0.244 0.308 0.448
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.621 0.69174 0.152 0.076 0.772
#> FE2C169A-E41F-45EB-B61E-776493069D78 3 0.848 0.63441 0.204 0.180 0.616
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.392 0.71400 0.016 0.112 0.872
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.188 0.68422 0.044 0.004 0.952
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.629 0.63775 0.740 0.216 0.044
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.260 0.58201 0.052 0.932 0.016
#> D58CE99E-A954-4555-AA01-6582C049B7ED 3 0.933 0.46740 0.248 0.232 0.520
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 3 0.719 0.59340 0.052 0.292 0.656
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.787 0.25812 0.524 0.056 0.420
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 3 0.955 0.04605 0.352 0.200 0.448
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 3 0.949 0.42559 0.244 0.260 0.496
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.613 0.53719 0.600 0.400 0.000
#> B40B9470-990D-4443-8484-17266E829557 2 0.931 0.36355 0.276 0.516 0.208
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.652 0.56698 0.512 0.484 0.004
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 3 0.795 0.50491 0.084 0.308 0.608
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.792 -0.10325 0.056 0.472 0.472
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.274 0.63854 0.020 0.928 0.052
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.611 0.61095 0.044 0.756 0.200
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.774 0.61914 0.548 0.400 0.052
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 3 0.825 0.49847 0.108 0.292 0.600
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.164 0.60806 0.016 0.964 0.020
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.952 0.30173 0.292 0.484 0.224
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.520 0.64722 0.044 0.820 0.136
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.231 0.70624 0.032 0.024 0.944
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.626 0.54552 0.552 0.448 0.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.582 0.39839 0.236 0.744 0.020
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.203 0.69335 0.032 0.016 0.952
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.629 0.59422 0.532 0.468 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.280 0.63132 0.016 0.924 0.060
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.318 0.63459 0.024 0.912 0.064
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.902 0.41819 0.224 0.560 0.216
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.176 0.68596 0.040 0.004 0.956
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 3 0.778 0.63605 0.208 0.124 0.668
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 3 0.909 0.54264 0.188 0.268 0.544
#> EB5CF362-6974-4137-AC92-2051B1594E13 3 0.795 0.63527 0.192 0.148 0.660
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 3 0.971 0.30972 0.244 0.308 0.448
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.536 0.63840 0.724 0.276 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 3 0.802 0.62297 0.220 0.132 0.648
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 3 0.778 0.63605 0.208 0.124 0.668
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.241 0.70338 0.040 0.020 0.940
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.475 0.64515 0.024 0.832 0.144
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.231 0.69602 0.032 0.024 0.944
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.176 0.68831 0.040 0.004 0.956
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 2 0.459 0.50692 0.120 0.848 0.032
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#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.629 0.66620 0.044 0.216 0.740
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.175 0.59267 0.028 0.960 0.012
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.487 0.72012 0.056 0.100 0.844
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 3 0.964 0.34622 0.232 0.308 0.460
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 3 0.742 0.53061 0.056 0.312 0.632
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.777 0.64068 0.196 0.132 0.672
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.148 0.60548 0.012 0.968 0.020
#> F17C0E73-4C34-4F82-8562-56985A59316C 3 0.976 0.27416 0.240 0.332 0.428
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.479 0.70196 0.044 0.112 0.844
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 3 0.946 0.41656 0.236 0.264 0.500
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.767 0.64651 0.192 0.128 0.680
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.861 0.14701 0.324 0.556 0.120
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.241 0.70338 0.040 0.020 0.940
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.772 -0.03632 0.432 0.048 0.520
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.346 0.64069 0.012 0.892 0.096
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.346 0.64069 0.012 0.892 0.096
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.826 0.54836 0.104 0.304 0.592
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 3 0.933 0.21149 0.172 0.356 0.472
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.385 0.71745 0.028 0.088 0.884
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.922 0.36789 0.272 0.528 0.200
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.896 0.34494 0.164 0.548 0.288
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.629 -0.48679 0.464 0.536 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.188 0.69105 0.032 0.012 0.956
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.795 0.31182 0.068 0.564 0.368
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0921 0.69668 0.000 0.972 0.000 0.028
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.8547 0.43617 0.132 0.536 0.212 0.120
#> 3BBC7540-136B-47C8-9C09-CD423685B742 3 0.7661 0.23534 0.012 0.148 0.452 0.388
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.6007 0.32460 0.520 0.444 0.004 0.032
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.8020 0.25091 0.016 0.192 0.440 0.352
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.1474 0.64253 0.000 0.000 0.948 0.052
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.4933 0.49365 0.000 0.016 0.296 0.688
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.6300 0.50035 0.636 0.284 0.072 0.008
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.5743 0.67912 0.028 0.744 0.068 0.160
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.4758 0.67291 0.016 0.064 0.808 0.112
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.3161 0.56418 0.896 0.020 0.028 0.056
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 3 0.7254 0.24007 0.000 0.148 0.468 0.384
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.8149 0.34976 0.020 0.300 0.460 0.220
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.1302 0.62310 0.000 0.000 0.956 0.044
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.5735 -0.04396 0.392 0.576 0.000 0.032
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.3780 0.71654 0.024 0.864 0.028 0.084
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.8339 0.12073 0.016 0.296 0.384 0.304
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.7606 0.40512 0.032 0.568 0.264 0.136
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.5793 0.67687 0.016 0.736 0.096 0.152
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.1059 0.68919 0.016 0.972 0.000 0.012
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.5257 0.20313 0.000 0.548 0.008 0.444
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.6479 0.65377 0.076 0.076 0.716 0.132
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.5700 0.67336 0.016 0.744 0.096 0.144
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.4787 0.67139 0.012 0.052 0.796 0.140
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.5125 0.43061 0.604 0.388 0.000 0.008
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.2515 0.71415 0.012 0.912 0.004 0.072
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.5711 0.67613 0.028 0.756 0.116 0.100
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.4323 0.61715 0.000 0.020 0.204 0.776
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.2457 0.71426 0.008 0.912 0.004 0.076
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.7627 0.38766 0.004 0.244 0.248 0.504
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 3 0.8834 0.31097 0.072 0.204 0.456 0.268
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.1302 0.62310 0.000 0.000 0.956 0.044
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.3292 0.67560 0.004 0.036 0.880 0.080
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.2457 0.71604 0.004 0.912 0.008 0.076
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.5195 0.50175 0.692 0.276 0.000 0.032
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.1474 0.70563 0.000 0.948 0.000 0.052
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.1118 0.62607 0.000 0.000 0.964 0.036
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.5933 -0.01268 0.000 0.036 0.464 0.500
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.4309 0.67118 0.008 0.040 0.820 0.132
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.1975 0.66428 0.000 0.016 0.936 0.048
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.8567 0.10142 0.032 0.240 0.380 0.348
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.4080 0.56440 0.852 0.020 0.072 0.056
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.5555 0.68837 0.024 0.756 0.068 0.152
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.7856 0.41021 0.056 0.564 0.260 0.120
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.5315 0.42197 0.224 0.724 0.004 0.048
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.2781 0.56735 0.912 0.012 0.036 0.040
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.4932 0.59034 0.000 0.240 0.032 0.728
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.5250 0.46558 0.004 0.640 0.012 0.344
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.4466 0.64563 0.000 0.036 0.180 0.784
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.6564 0.55144 0.024 0.652 0.076 0.248
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.4636 0.67277 0.000 0.140 0.068 0.792
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 4 0.5399 0.07136 0.000 0.012 0.468 0.520
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.6554 0.40030 0.016 0.068 0.300 0.616
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.4758 0.66757 0.000 0.064 0.780 0.156
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.1489 0.64728 0.000 0.004 0.952 0.044
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.2825 0.56333 0.908 0.008 0.048 0.036
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.2926 0.67916 0.056 0.896 0.000 0.048
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.3198 0.67544 0.000 0.040 0.080 0.880
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 3 0.8071 0.43894 0.028 0.228 0.512 0.232
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.6127 0.08850 0.524 0.008 0.436 0.032
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 3 0.8543 0.18076 0.376 0.112 0.428 0.084
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.3471 0.67856 0.000 0.072 0.060 0.868
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.4849 0.52535 0.760 0.200 0.004 0.036
#> B40B9470-990D-4443-8484-17266E829557 1 0.8459 0.07860 0.396 0.312 0.024 0.268
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.5376 0.40863 0.588 0.396 0.000 0.016
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 3 0.8633 0.46012 0.080 0.236 0.504 0.180
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.8463 -0.04600 0.024 0.396 0.308 0.272
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.3135 0.71758 0.012 0.884 0.012 0.092
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.5114 0.56575 0.004 0.696 0.020 0.280
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.6053 0.49253 0.640 0.300 0.052 0.008
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 3 0.8951 0.44884 0.116 0.208 0.488 0.188
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.1302 0.70403 0.000 0.956 0.000 0.044
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 1 0.8501 0.09635 0.432 0.264 0.032 0.272
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.5327 0.69871 0.028 0.768 0.048 0.156
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.2821 0.66974 0.004 0.020 0.900 0.076
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.5321 0.48817 0.672 0.296 0.000 0.032
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.5855 0.25735 0.356 0.600 0.000 0.044
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.2142 0.66329 0.000 0.016 0.928 0.056
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.4761 0.44826 0.628 0.372 0.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.1716 0.70746 0.000 0.936 0.000 0.064
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.2238 0.71044 0.004 0.920 0.004 0.072
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.8461 0.15516 0.284 0.424 0.028 0.264
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.1305 0.64084 0.000 0.004 0.960 0.036
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.4284 0.59832 0.000 0.012 0.224 0.764
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 4 0.8650 0.06011 0.068 0.156 0.332 0.444
#> EB5CF362-6974-4137-AC92-2051B1594E13 4 0.5195 0.53081 0.000 0.032 0.276 0.692
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.4636 0.67277 0.000 0.140 0.068 0.792
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.2499 0.57444 0.920 0.044 0.004 0.032
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 4 0.4098 0.61524 0.000 0.012 0.204 0.784
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 4 0.4284 0.59832 0.000 0.012 0.224 0.764
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.3306 0.63628 0.000 0.004 0.840 0.156
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.4597 0.70440 0.008 0.800 0.044 0.148
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.2174 0.66539 0.000 0.020 0.928 0.052
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.2216 0.63920 0.000 0.000 0.908 0.092
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 2 0.5017 0.57604 0.156 0.780 0.016 0.048
#> 2C2589E0-2055-43AC-8001-1643839F80D4 3 0.6889 0.63728 0.072 0.092 0.684 0.152
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.5150 0.65006 0.008 0.068 0.768 0.156
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 2 0.5429 0.64435 0.068 0.732 0.004 0.196
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 2 0.8332 0.48642 0.096 0.560 0.168 0.176
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 3 0.7338 0.50849 0.016 0.176 0.588 0.220
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 4 0.4426 0.61840 0.000 0.024 0.204 0.772
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.2737 0.71040 0.008 0.888 0.000 0.104
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 2 0.3679 0.66661 0.084 0.856 0.000 0.060
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.4639 0.64183 0.008 0.752 0.012 0.228
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 1 0.3532 0.56551 0.880 0.020 0.044 0.056
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 3 0.5860 0.65664 0.028 0.096 0.744 0.132
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 4 0.4833 0.61235 0.000 0.228 0.032 0.740
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 2 0.4601 0.70843 0.016 0.820 0.072 0.092
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 2 0.5907 -0.04641 0.392 0.572 0.004 0.032
#> A3AC663C-1578-4946-AED3-2FF9A739168E 4 0.3080 0.67010 0.000 0.024 0.096 0.880
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 3 0.8263 0.08840 0.012 0.304 0.376 0.308
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 3 0.1302 0.62723 0.000 0.000 0.956 0.044
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.7375 0.59664 0.076 0.108 0.644 0.172
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.3947 0.67293 0.004 0.040 0.840 0.116
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 1 0.8263 0.04770 0.400 0.388 0.028 0.184
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.1211 0.62733 0.000 0.000 0.960 0.040
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 2 0.6489 0.61798 0.036 0.700 0.156 0.108
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 4 0.4204 0.63000 0.000 0.020 0.192 0.788
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.3565 0.67464 0.012 0.036 0.872 0.080
#> 4ED692EB-E194-49D7-9222-6232051426E5 4 0.5691 0.50032 0.000 0.304 0.048 0.648
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 2 0.5816 0.64921 0.076 0.752 0.040 0.132
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.1211 0.62733 0.000 0.000 0.960 0.040
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 2 0.2261 0.69645 0.024 0.932 0.008 0.036
#> 64B33223-EB30-49ED-A3D8-5AC598845465 3 0.7459 0.30186 0.008 0.140 0.480 0.372
#> 21599029-B6C9-4385-B87C-FDB99F956118 3 0.2530 0.61541 0.000 0.000 0.888 0.112
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 4 0.3176 0.67500 0.000 0.036 0.084 0.880
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 3 0.8136 0.12518 0.008 0.292 0.392 0.308
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 2 0.8184 0.09922 0.340 0.452 0.028 0.180
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 1 0.8040 0.30867 0.544 0.096 0.080 0.280
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 4 0.7182 0.36150 0.004 0.356 0.128 0.512
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 2 0.2494 0.68371 0.036 0.916 0.000 0.048
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 3 0.6694 0.61081 0.024 0.104 0.660 0.212
#> 8902E88F-181A-46FE-9C80-F11C107B33E4 2 0.7308 0.16682 0.008 0.496 0.124 0.372
#> 24F2D373-AE15-47B0-8F1B-740426145C2C 2 0.5549 0.68877 0.024 0.760 0.076 0.140
#> A154A921-EB14-48DF-BF70-AE765CCE5CAB 1 0.7733 0.42361 0.592 0.164 0.048 0.196
#> D508AD79-2273-4E78-A6EE-97FBAAC7E851 2 0.1637 0.70633 0.000 0.940 0.000 0.060
#> 023D7F8E-5BD5-4AE8-8A7F-1851AA7F228A 3 0.6837 0.63240 0.040 0.144 0.676 0.140
#> 3BDE962B-6791-40BC-B3AA-C4D527FFEF22 3 0.9914 0.08517 0.204 0.284 0.292 0.220
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#> 8726867D-3708-4A20-9D68-04FF9D61CE27 3 0.9333 0.27900 0.156 0.280 0.416 0.148
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.4696 0.66404 0.004 0.056 0.792 0.148
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.8448 0.07389 0.392 0.328 0.024 0.256
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.5559 0.28660 0.004 0.400 0.016 0.580
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.5570 0.34168 0.540 0.440 0.000 0.020
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.1767 0.65345 0.000 0.012 0.944 0.044
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.8477 0.29501 0.072 0.500 0.280 0.148
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.1310 0.61702 0.020 0.956 0.000 0.024 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.8159 0.29210 0.204 0.484 0.204 0.044 0.064
#> 3BBC7540-136B-47C8-9C09-CD423685B742 3 0.8126 0.29500 0.172 0.120 0.400 0.304 0.004
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.6972 -0.47684 0.240 0.384 0.004 0.004 0.368
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.8340 0.31102 0.164 0.156 0.408 0.264 0.008
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.2848 0.61773 0.104 0.000 0.868 0.028 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.5055 0.57166 0.116 0.004 0.168 0.712 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.7789 0.73570 0.372 0.248 0.064 0.000 0.316
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.5867 0.59341 0.096 0.716 0.080 0.096 0.012
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.4397 0.67049 0.080 0.056 0.804 0.060 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.1310 0.34962 0.024 0.000 0.020 0.000 0.956
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 3 0.8020 0.25641 0.180 0.116 0.384 0.320 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.8081 0.40678 0.124 0.260 0.448 0.160 0.008
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.3280 0.54506 0.176 0.000 0.812 0.012 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.6357 -0.34461 0.288 0.512 0.000 0.000 0.200
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.4118 0.62656 0.056 0.836 0.036 0.052 0.020
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.8492 0.19693 0.128 0.264 0.352 0.248 0.008
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.7372 0.37862 0.112 0.540 0.252 0.084 0.012
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.6008 0.58123 0.108 0.700 0.100 0.084 0.008
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.1443 0.60598 0.044 0.948 0.000 0.004 0.004
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.5420 0.16020 0.060 0.524 0.000 0.416 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.6294 0.64810 0.148 0.056 0.688 0.068 0.040
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.5648 0.59800 0.092 0.728 0.072 0.100 0.008
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.4380 0.67167 0.084 0.036 0.808 0.068 0.004
#> 032E0758-7A5B-405B-88D3-74C527605780 2 0.6812 -0.73094 0.324 0.364 0.000 0.000 0.312
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.2512 0.63248 0.032 0.908 0.004 0.048 0.008
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.5733 0.59293 0.092 0.724 0.108 0.064 0.012
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.4054 0.64102 0.116 0.004 0.080 0.800 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.2512 0.63419 0.028 0.904 0.004 0.060 0.004
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.8094 0.40023 0.160 0.208 0.172 0.456 0.004
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 3 0.8721 0.29798 0.120 0.176 0.408 0.256 0.040
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.3280 0.54506 0.176 0.000 0.812 0.012 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.3148 0.66848 0.052 0.024 0.880 0.040 0.004
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.2556 0.63264 0.024 0.900 0.004 0.068 0.004
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.6349 -0.10529 0.244 0.232 0.000 0.000 0.524
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.1741 0.62490 0.024 0.936 0.000 0.040 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.3039 0.56105 0.152 0.000 0.836 0.012 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.6737 0.07530 0.148 0.020 0.364 0.468 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.4133 0.66966 0.044 0.032 0.824 0.092 0.008
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0968 0.65261 0.004 0.012 0.972 0.012 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.8719 0.17910 0.180 0.200 0.340 0.268 0.012
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.2221 0.33788 0.036 0.000 0.052 0.000 0.912
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.5276 0.61056 0.056 0.748 0.060 0.128 0.008
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.7546 0.37424 0.140 0.532 0.240 0.068 0.020
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.5753 0.23206 0.208 0.660 0.004 0.012 0.116
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.2700 0.29416 0.088 0.004 0.024 0.000 0.884
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.5073 0.58605 0.088 0.196 0.008 0.708 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.5393 0.42829 0.080 0.608 0.000 0.312 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.4065 0.64988 0.084 0.020 0.080 0.816 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.6607 0.52769 0.080 0.628 0.072 0.208 0.012
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.3556 0.63456 0.044 0.104 0.012 0.840 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 4 0.6328 0.26647 0.156 0.004 0.324 0.516 0.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.6974 0.46194 0.192 0.032 0.184 0.576 0.016
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.4530 0.67179 0.068 0.060 0.796 0.076 0.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.2813 0.62139 0.108 0.000 0.868 0.024 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.2359 0.32019 0.060 0.000 0.036 0.000 0.904
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.3262 0.58964 0.104 0.856 0.000 0.020 0.020
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.1891 0.65113 0.032 0.016 0.016 0.936 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 3 0.7995 0.47597 0.128 0.200 0.492 0.168 0.012
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 5 0.6824 -0.00627 0.236 0.004 0.380 0.000 0.380
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 3 0.8249 0.19433 0.320 0.060 0.384 0.028 0.208
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.2379 0.65201 0.028 0.048 0.012 0.912 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 5 0.5835 0.20558 0.196 0.156 0.004 0.004 0.640
#> B40B9470-990D-4443-8484-17266E829557 5 0.8602 0.23194 0.096 0.252 0.032 0.224 0.396
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 2 0.7037 -0.70830 0.312 0.372 0.000 0.008 0.308
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 3 0.8268 0.49550 0.228 0.176 0.472 0.088 0.036
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.8402 -0.07555 0.128 0.356 0.312 0.196 0.008
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.3237 0.63850 0.064 0.868 0.008 0.056 0.004
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.5005 0.48723 0.044 0.664 0.008 0.284 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.7544 0.74087 0.372 0.268 0.040 0.000 0.320
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 3 0.8567 0.46508 0.236 0.168 0.448 0.096 0.052
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.1386 0.62325 0.016 0.952 0.000 0.032 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 5 0.8422 0.27667 0.088 0.204 0.036 0.228 0.444
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.5241 0.61554 0.056 0.748 0.036 0.144 0.016
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.2861 0.66655 0.076 0.016 0.884 0.024 0.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 5 0.6345 -0.11383 0.224 0.252 0.000 0.000 0.524
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.6000 0.22003 0.056 0.556 0.000 0.032 0.356
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.1209 0.65084 0.012 0.012 0.964 0.012 0.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 2 0.6825 -0.75681 0.328 0.340 0.000 0.000 0.332
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.2209 0.62024 0.032 0.912 0.000 0.056 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.2504 0.62539 0.032 0.900 0.004 0.064 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.8671 -0.05746 0.096 0.364 0.032 0.224 0.284
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.2886 0.60060 0.116 0.004 0.864 0.016 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.3924 0.63797 0.068 0.004 0.120 0.808 0.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 4 0.8909 0.01259 0.292 0.080 0.248 0.324 0.056
#> EB5CF362-6974-4137-AC92-2051B1594E13 4 0.5534 0.58240 0.136 0.020 0.152 0.692 0.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.3556 0.63456 0.044 0.104 0.012 0.840 0.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 5 0.2677 0.25348 0.112 0.016 0.000 0.000 0.872
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 4 0.3727 0.64297 0.068 0.004 0.104 0.824 0.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 4 0.3924 0.63797 0.068 0.004 0.120 0.808 0.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.5121 0.57222 0.152 0.004 0.708 0.136 0.000
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.4448 0.61431 0.036 0.780 0.036 0.148 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.1200 0.65331 0.008 0.016 0.964 0.012 0.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.4335 0.57470 0.168 0.000 0.760 0.072 0.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 2 0.5154 0.44803 0.196 0.720 0.016 0.008 0.060
#> 2C2589E0-2055-43AC-8001-1643839F80D4 3 0.6711 0.63816 0.168 0.052 0.652 0.080 0.048
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.5401 0.64841 0.084 0.064 0.740 0.108 0.004
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 2 0.5969 0.53985 0.152 0.672 0.008 0.144 0.024
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 2 0.8142 0.31748 0.232 0.488 0.168 0.064 0.048
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 3 0.7179 0.55352 0.104 0.148 0.588 0.152 0.008
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 4 0.4176 0.64193 0.116 0.008 0.080 0.796 0.000
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.3102 0.62776 0.056 0.860 0.000 0.084 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 2 0.3858 0.58460 0.092 0.832 0.000 0.040 0.036
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.4577 0.56630 0.036 0.724 0.004 0.232 0.004
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 5 0.1668 0.34597 0.032 0.000 0.028 0.000 0.940
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 3 0.5752 0.65924 0.140 0.060 0.716 0.072 0.012
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 4 0.4424 0.60307 0.056 0.188 0.004 0.752 0.000
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 2 0.4716 0.62266 0.092 0.788 0.064 0.052 0.004
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 2 0.6371 -0.34821 0.292 0.508 0.000 0.000 0.200
#> A3AC663C-1578-4946-AED3-2FF9A739168E 4 0.1990 0.65264 0.028 0.004 0.040 0.928 0.000
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 3 0.8394 0.15802 0.124 0.272 0.344 0.256 0.004
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 3 0.3381 0.55404 0.160 0.000 0.820 0.016 0.004
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.7384 0.58564 0.196 0.060 0.592 0.088 0.064
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.3467 0.67218 0.048 0.032 0.864 0.052 0.004
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 5 0.8369 0.27602 0.092 0.328 0.040 0.132 0.408
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.3224 0.55623 0.160 0.000 0.824 0.016 0.000
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 2 0.6447 0.51956 0.136 0.656 0.140 0.056 0.012
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 4 0.3866 0.65063 0.076 0.008 0.096 0.820 0.000
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.2835 0.66462 0.040 0.020 0.896 0.040 0.004
#> 4ED692EB-E194-49D7-9222-6232051426E5 4 0.5928 0.50055 0.084 0.264 0.028 0.624 0.000
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 2 0.6167 0.49683 0.160 0.692 0.056 0.048 0.044
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.3224 0.55623 0.160 0.000 0.824 0.016 0.000
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 2 0.2888 0.61419 0.072 0.888 0.008 0.012 0.020
#> 64B33223-EB30-49ED-A3D8-5AC598845465 3 0.8030 0.34811 0.168 0.116 0.428 0.284 0.004
#> 21599029-B6C9-4385-B87C-FDB99F956118 3 0.4322 0.57415 0.144 0.000 0.768 0.088 0.000
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 4 0.1989 0.65298 0.032 0.016 0.020 0.932 0.000
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 3 0.8327 0.18959 0.116 0.260 0.360 0.260 0.004
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 2 0.8386 -0.13443 0.092 0.392 0.040 0.132 0.344
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 5 0.7338 0.43286 0.084 0.048 0.052 0.256 0.560
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 4 0.7399 0.37384 0.104 0.308 0.108 0.480 0.000
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 2 0.2844 0.60272 0.088 0.880 0.000 0.020 0.012
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 3 0.6864 0.62313 0.148 0.080 0.616 0.148 0.008
#> 8902E88F-181A-46FE-9C80-F11C107B33E4 2 0.7521 0.16202 0.084 0.464 0.124 0.324 0.004
#> 24F2D373-AE15-47B0-8F1B-740426145C2C 2 0.5575 0.61361 0.100 0.736 0.060 0.092 0.012
#> A154A921-EB14-48DF-BF70-AE765CCE5CAB 5 0.7475 0.47857 0.128 0.092 0.056 0.120 0.604
#> D508AD79-2273-4E78-A6EE-97FBAAC7E851 2 0.1893 0.62565 0.024 0.928 0.000 0.048 0.000
#> 023D7F8E-5BD5-4AE8-8A7F-1851AA7F228A 3 0.6679 0.63818 0.128 0.124 0.652 0.076 0.020
#> 3BDE962B-6791-40BC-B3AA-C4D527FFEF22 1 0.9598 -0.11362 0.288 0.220 0.256 0.120 0.116
#> 2F2D34BA-A568-470E-B0D9-5875E897FF39 3 0.3280 0.54506 0.176 0.000 0.812 0.012 0.000
#> 6DB55201-3973-4650-842E-842D5869C567 1 0.6960 0.71960 0.340 0.324 0.004 0.000 0.332
#> 258CFB91-4E4F-48F9-A483-9F6C4CFF0D3C 3 0.6099 0.25817 0.136 0.000 0.512 0.352 0.000
#> 5373681D-9C2C-46FE-AA89-05741DA4080B 1 0.8219 0.62107 0.336 0.292 0.092 0.004 0.276
#> 050B778A-9D6F-4742-B6AA-CBF8541F6203 5 0.7833 0.38670 0.100 0.248 0.036 0.096 0.520
#> 46FAC69E-DB01-452F-A3EE-D7339DD562CE 2 0.2213 0.60292 0.072 0.912 0.004 0.004 0.008
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#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.3556 0.64847 0.044 0.104 0.012 0.840 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 3 0.7966 0.51032 0.176 0.208 0.500 0.096 0.020
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.4416 0.62630 0.084 0.008 0.132 0.776 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.1668 0.62272 0.028 0.940 0.000 0.032 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.4044 0.62888 0.076 0.120 0.004 0.800 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.5411 0.66363 0.096 0.072 0.752 0.064 0.016
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.3223 0.65451 0.064 0.052 0.016 0.868 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.6133 0.50152 0.140 0.020 0.224 0.616 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 5 0.7987 0.35677 0.104 0.276 0.036 0.096 0.488
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.5121 0.57222 0.152 0.004 0.708 0.136 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.6730 0.17432 0.196 0.004 0.472 0.004 0.324
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.3557 0.62772 0.080 0.852 0.048 0.016 0.004
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.3557 0.62772 0.080 0.852 0.048 0.016 0.004
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.8861 0.20836 0.196 0.184 0.340 0.260 0.020
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 3 0.9027 0.25817 0.192 0.228 0.400 0.080 0.100
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.4747 0.66091 0.072 0.044 0.776 0.108 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 5 0.8599 0.24300 0.096 0.268 0.032 0.212 0.392
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.5867 0.32474 0.096 0.352 0.004 0.548 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.6721 -0.64744 0.340 0.404 0.000 0.000 0.256
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.1843 0.63490 0.052 0.008 0.932 0.008 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.8232 0.21723 0.200 0.436 0.264 0.072 0.028
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.1675 0.66105 0.936 0.000 0.008 0.000 0.024 0.032
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.8259 0.18307 0.436 0.060 0.188 0.020 0.112 0.184
#> 3BBC7540-136B-47C8-9C09-CD423685B742 3 0.7592 -0.19918 0.100 0.008 0.400 0.184 0.012 0.296
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.6911 0.41145 0.320 0.232 0.004 0.000 0.396 0.048
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.7501 -0.17377 0.124 0.004 0.424 0.156 0.012 0.280
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.3187 0.40872 0.000 0.000 0.796 0.012 0.004 0.188
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.5700 0.43358 0.000 0.016 0.128 0.640 0.024 0.192
#> C590B811-A42F-4ED2-896A-513EFD42D62D 5 0.4544 0.66372 0.196 0.000 0.060 0.000 0.720 0.024
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.5881 0.61560 0.680 0.020 0.096 0.024 0.036 0.144
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.3746 0.42146 0.040 0.020 0.820 0.000 0.016 0.104
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 2 0.3963 0.49194 0.000 0.756 0.008 0.000 0.188 0.048
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 3 0.7650 -0.23908 0.096 0.008 0.376 0.204 0.012 0.304
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.7277 -0.07091 0.224 0.008 0.460 0.068 0.012 0.228
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.4035 0.31860 0.000 0.004 0.680 0.000 0.020 0.296
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 5 0.5625 0.40503 0.444 0.040 0.000 0.000 0.460 0.056
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.4382 0.66287 0.804 0.016 0.040 0.020 0.052 0.068
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.8051 -0.24652 0.224 0.016 0.372 0.128 0.016 0.244
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.6860 0.17190 0.504 0.012 0.264 0.016 0.032 0.172
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.6066 0.58599 0.664 0.024 0.120 0.024 0.032 0.136
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.2118 0.64449 0.916 0.012 0.004 0.000 0.048 0.020
#> E8385A24-9459-4D47-9147-3A628D1A213D 1 0.6784 0.16491 0.476 0.012 0.008 0.344 0.088 0.072
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.5623 0.35144 0.032 0.072 0.700 0.004 0.060 0.132
#> C42C8456-82F9-433C-82BA-F1284CDC425C 1 0.5616 0.60756 0.696 0.012 0.080 0.052 0.016 0.144
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.3575 0.42497 0.020 0.064 0.828 0.004 0.000 0.084
#> 032E0758-7A5B-405B-88D3-74C527605780 5 0.3835 0.69161 0.320 0.000 0.000 0.000 0.668 0.012
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.2563 0.67169 0.900 0.008 0.004 0.016 0.028 0.044
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 1 0.5458 0.62515 0.696 0.012 0.108 0.028 0.012 0.144
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.5041 0.52474 0.000 0.020 0.048 0.712 0.040 0.180
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.2605 0.67656 0.896 0.004 0.004 0.028 0.020 0.048
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.8531 -0.15751 0.188 0.020 0.160 0.340 0.040 0.252
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 3 0.8963 -0.32526 0.148 0.076 0.388 0.192 0.064 0.132
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.4035 0.31860 0.000 0.004 0.680 0.000 0.020 0.296
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.2182 0.45209 0.008 0.020 0.904 0.000 0.000 0.068
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.2926 0.67287 0.880 0.004 0.004 0.032 0.040 0.040
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.6547 0.07140 0.196 0.364 0.000 0.000 0.404 0.036
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.2126 0.66797 0.920 0.004 0.008 0.012 0.012 0.044
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.3778 0.33812 0.000 0.000 0.708 0.000 0.020 0.272
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.6970 -0.19257 0.012 0.012 0.328 0.408 0.020 0.220
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.3829 0.43749 0.024 0.020 0.832 0.032 0.012 0.080
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0632 0.45440 0.000 0.000 0.976 0.000 0.000 0.024
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.8087 -0.30583 0.160 0.020 0.348 0.132 0.020 0.320
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 2 0.4578 0.47376 0.000 0.712 0.020 0.000 0.204 0.064
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.5353 0.64798 0.728 0.004 0.080 0.060 0.032 0.096
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.7142 0.17693 0.488 0.040 0.236 0.000 0.048 0.188
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.5966 0.15079 0.580 0.060 0.004 0.000 0.272 0.084
#> F1E00B65-7148-441C-B752-A8F083957765 2 0.4760 0.42155 0.004 0.660 0.004 0.000 0.264 0.068
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.6275 0.43249 0.180 0.016 0.012 0.628 0.060 0.104
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.6470 0.44980 0.576 0.016 0.008 0.248 0.068 0.084
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.5362 0.53065 0.004 0.020 0.052 0.708 0.064 0.152
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.6898 0.50156 0.596 0.008 0.100 0.116 0.044 0.136
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.4438 0.56353 0.084 0.004 0.000 0.772 0.092 0.048
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 4 0.6997 0.12064 0.000 0.020 0.240 0.420 0.032 0.288
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.7632 0.09892 0.004 0.112 0.144 0.460 0.036 0.244
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.3850 0.42171 0.048 0.028 0.816 0.012 0.000 0.096
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.2979 0.41221 0.000 0.000 0.804 0.004 0.004 0.188
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 2 0.4679 0.45361 0.000 0.688 0.016 0.000 0.232 0.064
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.4272 0.58178 0.780 0.036 0.000 0.004 0.108 0.072
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.2278 0.59128 0.004 0.012 0.004 0.912 0.044 0.024
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 3 0.7139 0.02987 0.172 0.016 0.508 0.064 0.012 0.228
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.7615 -0.06180 0.004 0.180 0.340 0.000 0.300 0.176
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 3 0.7962 -0.14693 0.028 0.140 0.368 0.004 0.288 0.172
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.2766 0.59368 0.028 0.004 0.004 0.888 0.028 0.048
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 2 0.6354 0.26877 0.128 0.508 0.004 0.000 0.312 0.048
#> B40B9470-990D-4443-8484-17266E829557 2 0.7946 0.34139 0.232 0.468 0.048 0.124 0.024 0.104
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 5 0.3988 0.67887 0.324 0.000 0.000 0.004 0.660 0.012
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 3 0.7507 -0.02568 0.128 0.108 0.476 0.000 0.048 0.240
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 3 0.7980 -0.26352 0.320 0.016 0.340 0.088 0.024 0.212
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 1 0.3402 0.68154 0.852 0.008 0.016 0.028 0.016 0.080
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 1 0.5778 0.52603 0.644 0.016 0.012 0.228 0.036 0.064
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 5 0.4334 0.68107 0.220 0.000 0.040 0.000 0.720 0.020
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 3 0.8138 -0.11252 0.128 0.104 0.436 0.012 0.080 0.240
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 1 0.2113 0.66638 0.916 0.000 0.004 0.008 0.028 0.044
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.7501 0.39593 0.188 0.524 0.048 0.132 0.012 0.096
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 1 0.5771 0.65466 0.704 0.020 0.036 0.096 0.040 0.104
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.2333 0.45180 0.004 0.000 0.872 0.000 0.004 0.120
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 5 0.6694 0.07315 0.208 0.364 0.000 0.000 0.384 0.044
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.5048 0.16539 0.552 0.388 0.000 0.000 0.036 0.024
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0790 0.45392 0.000 0.000 0.968 0.000 0.000 0.032
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 5 0.3753 0.69870 0.292 0.008 0.000 0.000 0.696 0.004
#> 12B37C6C-03BB-4632-901E-524A46955B98 1 0.3355 0.64430 0.856 0.008 0.004 0.048 0.028 0.056
#> B308794B-BB34-43C7-AC89-C5230E782F0A 1 0.3431 0.65203 0.852 0.008 0.008 0.056 0.020 0.056
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.8133 0.15979 0.344 0.356 0.048 0.128 0.020 0.104
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.3596 0.37419 0.000 0.000 0.760 0.008 0.016 0.216
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.4599 0.53896 0.000 0.008 0.072 0.760 0.044 0.116
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 6 0.8905 0.56340 0.032 0.180 0.228 0.188 0.056 0.316
#> EB5CF362-6974-4137-AC92-2051B1594E13 4 0.6658 0.41605 0.008 0.020 0.104 0.580 0.076 0.212
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.4438 0.56353 0.084 0.004 0.000 0.772 0.092 0.048
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 2 0.4569 0.38886 0.000 0.636 0.000 0.000 0.304 0.060
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 4 0.4489 0.54694 0.000 0.012 0.060 0.772 0.044 0.112
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 4 0.4599 0.53896 0.000 0.008 0.072 0.760 0.044 0.116
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.5616 0.28633 0.004 0.008 0.612 0.088 0.020 0.268
#> 77744579-17ED-499B-92FD-089789C44F8A 1 0.5220 0.65285 0.736 0.008 0.052 0.092 0.020 0.092
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.0632 0.45466 0.000 0.000 0.976 0.000 0.000 0.024
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.4850 0.30624 0.000 0.000 0.640 0.048 0.020 0.292
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.5592 0.45717 0.660 0.040 0.024 0.000 0.208 0.068
#> 2C2589E0-2055-43AC-8001-1643839F80D4 3 0.5899 0.31213 0.024 0.108 0.660 0.012 0.028 0.168
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.4665 0.37026 0.044 0.016 0.756 0.036 0.004 0.144
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 1 0.6668 0.54901 0.612 0.020 0.016 0.104 0.104 0.144
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 1 0.8005 0.15825 0.424 0.076 0.184 0.004 0.080 0.232
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 3 0.6503 0.18441 0.128 0.016 0.608 0.056 0.016 0.176
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 4 0.5119 0.52327 0.000 0.024 0.048 0.708 0.040 0.180
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 1 0.4119 0.66620 0.812 0.008 0.008 0.056 0.060 0.056
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 1 0.4720 0.59124 0.760 0.032 0.000 0.024 0.104 0.080
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 1 0.5193 0.60002 0.704 0.004 0.012 0.176 0.036 0.068
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 2 0.4114 0.48500 0.000 0.740 0.008 0.000 0.200 0.052
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 3 0.5266 0.36736 0.044 0.068 0.724 0.004 0.028 0.132
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 4 0.5511 0.51661 0.156 0.008 0.000 0.680 0.088 0.068
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 1 0.4902 0.66787 0.756 0.008 0.068 0.028 0.028 0.112
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 5 0.5624 0.40782 0.440 0.040 0.000 0.000 0.464 0.056
#> A3AC663C-1578-4946-AED3-2FF9A739168E 4 0.3350 0.57977 0.000 0.020 0.028 0.852 0.024 0.076
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 3 0.8058 -0.26996 0.232 0.012 0.360 0.140 0.016 0.240
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 3 0.4014 0.33242 0.000 0.004 0.696 0.000 0.024 0.276
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.6959 0.17468 0.024 0.168 0.564 0.020 0.052 0.172
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.2645 0.44214 0.016 0.044 0.884 0.000 0.000 0.056
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 2 0.7075 0.39740 0.292 0.508 0.048 0.048 0.012 0.092
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.3977 0.32750 0.000 0.000 0.692 0.004 0.020 0.284
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 1 0.6176 0.48868 0.608 0.016 0.152 0.000 0.048 0.176
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 4 0.4502 0.55120 0.000 0.012 0.064 0.772 0.044 0.108
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.1924 0.44809 0.004 0.048 0.920 0.000 0.000 0.028
#> 4ED692EB-E194-49D7-9222-6232051426E5 4 0.7418 0.32186 0.236 0.020 0.028 0.504 0.072 0.140
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 1 0.6580 0.49591 0.628 0.072 0.076 0.004 0.084 0.136
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.3977 0.32750 0.000 0.000 0.692 0.004 0.020 0.284
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 1 0.3534 0.65538 0.840 0.024 0.012 0.000 0.068 0.056
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#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0790 0.45392 0.000 0.000 0.968 0.000 0.000 0.032
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.4985 0.65621 0.748 0.020 0.064 0.008 0.040 0.120
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.5586 0.62325 0.704 0.004 0.096 0.056 0.028 0.112
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 5 0.3990 0.69403 0.304 0.004 0.000 0.000 0.676 0.016
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.2504 0.43208 0.004 0.000 0.856 0.004 0.000 0.136
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.2813 0.58434 0.000 0.016 0.012 0.880 0.024 0.068
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.3100 0.59644 0.028 0.008 0.012 0.876 0.044 0.032
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.6296 0.24201 0.092 0.076 0.616 0.000 0.028 0.188
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0972 0.45617 0.000 0.008 0.964 0.000 0.000 0.028
#> EFA48913-D0BD-4530-A445-C327A89CE956 3 0.7979 -0.24558 0.048 0.128 0.416 0.100 0.016 0.292
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.1387 0.44694 0.000 0.000 0.932 0.000 0.000 0.068
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 5 0.3810 0.69929 0.276 0.008 0.004 0.000 0.708 0.004
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 3 0.7429 -0.12348 0.260 0.012 0.428 0.056 0.016 0.228
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 1 0.3258 0.66816 0.860 0.004 0.008 0.020 0.056 0.052
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.8692 -0.22922 0.120 0.124 0.388 0.016 0.164 0.188
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.2655 0.45378 0.012 0.020 0.872 0.000 0.000 0.096
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.1082 0.45468 0.000 0.000 0.956 0.004 0.000 0.040
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 0.6107 0.50868 0.632 0.008 0.160 0.028 0.024 0.148
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.5797 0.32308 0.056 0.088 0.676 0.000 0.036 0.144
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.4837 0.62993 0.752 0.132 0.012 0.012 0.032 0.060
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.8629 -0.33760 0.216 0.032 0.192 0.312 0.024 0.224
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 5 0.7224 0.52927 0.284 0.076 0.084 0.000 0.488 0.068
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.2570 0.66923 0.896 0.004 0.000 0.032 0.036 0.032
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.3463 0.65569 0.848 0.008 0.016 0.008 0.056 0.064
#> 85C38170-F2A0-4491-BFDB-38489204C015 1 0.5673 0.60546 0.692 0.012 0.080 0.056 0.016 0.144
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.2476 0.66593 0.892 0.000 0.004 0.004 0.040 0.060
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.6806 0.45278 0.588 0.020 0.156 0.048 0.028 0.160
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.2113 0.66638 0.916 0.000 0.004 0.008 0.028 0.044
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.2334 0.59217 0.012 0.008 0.000 0.908 0.032 0.040
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.7906 -0.07485 0.128 0.048 0.484 0.108 0.024 0.208
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.2226 0.62769 0.904 0.008 0.000 0.000 0.028 0.060
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.4035 0.31860 0.000 0.004 0.680 0.000 0.020 0.296
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.3591 0.68095 0.848 0.012 0.008 0.040 0.044 0.048
#> F4142833-0749-44A4-B769-66262AA4A484 5 0.4944 0.61421 0.152 0.024 0.072 0.000 0.728 0.024
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.7268 0.34606 0.224 0.020 0.024 0.524 0.072 0.136
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0632 0.45440 0.000 0.000 0.976 0.000 0.000 0.024
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.6792 0.11286 0.100 0.020 0.552 0.092 0.004 0.232
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.1820 0.64189 0.924 0.008 0.000 0.000 0.056 0.012
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.4246 0.39925 0.048 0.016 0.792 0.040 0.000 0.104
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.4520 0.56054 0.088 0.012 0.004 0.776 0.032 0.088
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 3 0.7578 0.01659 0.192 0.068 0.496 0.012 0.048 0.184
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.5134 0.50433 0.004 0.008 0.096 0.716 0.036 0.140
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.2146 0.66654 0.916 0.000 0.008 0.008 0.024 0.044
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.5320 0.51619 0.112 0.016 0.008 0.724 0.056 0.084
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.4628 0.39024 0.052 0.032 0.760 0.000 0.024 0.132
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.3885 0.57128 0.040 0.016 0.004 0.828 0.056 0.056
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.7298 0.28159 0.008 0.020 0.176 0.488 0.076 0.232
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.6675 0.48493 0.244 0.576 0.048 0.012 0.048 0.072
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.5616 0.28633 0.004 0.008 0.612 0.088 0.020 0.268
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.7067 0.03828 0.000 0.168 0.452 0.000 0.256 0.124
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.3790 0.67023 0.816 0.004 0.056 0.000 0.032 0.092
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.3790 0.67023 0.816 0.004 0.056 0.000 0.032 0.092
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.8940 -0.45752 0.132 0.084 0.316 0.152 0.036 0.280
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 3 0.8685 -0.21282 0.184 0.112 0.388 0.016 0.128 0.172
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.3967 0.41053 0.032 0.012 0.800 0.032 0.000 0.124
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.7897 0.34735 0.244 0.468 0.048 0.116 0.024 0.100
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.7309 0.25694 0.324 0.020 0.012 0.444 0.072 0.128
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 5 0.4570 0.64910 0.340 0.016 0.000 0.000 0.620 0.024
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.1806 0.44169 0.000 0.000 0.908 0.000 0.004 0.088
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.7942 -0.10286 0.368 0.076 0.264 0.000 0.060 0.232
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 17395 rows and 473 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 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 0.457 0.820 0.860 0.4557 0.512 0.512
#> 3 3 0.604 0.465 0.725 0.3884 0.882 0.778
#> 4 4 0.707 0.805 0.874 0.1330 0.743 0.470
#> 5 5 0.623 0.509 0.694 0.0841 0.889 0.638
#> 6 6 0.653 0.544 0.695 0.0530 0.855 0.453
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
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.0000 0.8613 1.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.8081 0.7494 0.752 0.248
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.9833 0.6439 0.424 0.576
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.8016 0.7511 0.756 0.244
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.8016 0.9298 0.244 0.756
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.7815 0.9332 0.232 0.768
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.8016 0.9298 0.244 0.756
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.8016 0.7511 0.756 0.244
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.0000 0.8613 1.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.7815 0.9332 0.232 0.768
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.8016 0.7511 0.756 0.244
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.8016 0.9298 0.244 0.756
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 1 0.9323 0.0788 0.652 0.348
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.7815 0.9332 0.232 0.768
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.8016 0.7511 0.756 0.244
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.0000 0.8613 1.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.8016 0.9298 0.244 0.756
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.9661 -0.1308 0.608 0.392
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.0000 0.8613 1.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.0000 0.8613 1.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 1 0.2778 0.8279 0.952 0.048
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.7815 0.9332 0.232 0.768
#> C42C8456-82F9-433C-82BA-F1284CDC425C 1 0.2778 0.8279 0.952 0.048
#> 7194CC84-3897-4418-9695-66CC12CFE900 2 0.7815 0.9332 0.232 0.768
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.7883 0.7537 0.764 0.236
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.0000 0.8613 1.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 1 0.0000 0.8613 1.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.8016 0.9298 0.244 0.756
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.0000 0.8613 1.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.8016 0.9298 0.244 0.756
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.7815 0.9332 0.232 0.768
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.7815 0.9332 0.232 0.768
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.7815 0.9332 0.232 0.768
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.0000 0.8613 1.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.8016 0.7511 0.756 0.244
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.0000 0.8613 1.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.7815 0.9332 0.232 0.768
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.8016 0.9298 0.244 0.756
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.7815 0.9332 0.232 0.768
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.7815 0.9332 0.232 0.768
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.8016 0.9298 0.244 0.756
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 2 0.0000 0.6826 0.000 1.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.0000 0.8613 1.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.0938 0.8547 0.988 0.012
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.8016 0.7511 0.756 0.244
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.8016 0.7511 0.756 0.244
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 1 0.4298 0.7894 0.912 0.088
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.0000 0.8613 1.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 1 0.8327 0.4511 0.736 0.264
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.2236 0.8374 0.964 0.036
#> F8FF0B4E-0868-417C-9118-F484437E57DA 1 0.2778 0.8279 0.952 0.048
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.7815 0.9332 0.232 0.768
#> FE2C169A-E41F-45EB-B61E-776493069D78 2 0.7815 0.9332 0.232 0.768
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.7815 0.9332 0.232 0.768
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.7815 0.9332 0.232 0.768
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 2 0.6247 0.5195 0.156 0.844
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.7815 0.7550 0.768 0.232
#> D58CE99E-A954-4555-AA01-6582C049B7ED 1 0.7815 0.5336 0.768 0.232
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.8207 0.9205 0.256 0.744
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#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.0000 0.8613 1.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.0000 0.8613 1.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 1 0.2778 0.8279 0.952 0.048
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.0000 0.8613 1.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.0000 0.8613 1.000 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.0000 0.8613 1.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 1 0.4431 0.7849 0.908 0.092
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.7815 0.9332 0.232 0.768
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.0000 0.8613 1.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.7815 0.9332 0.232 0.768
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.0000 0.8613 1.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.9922 0.5284 0.552 0.448
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.8016 0.9298 0.244 0.756
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.7815 0.9332 0.232 0.768
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.8016 0.9298 0.244 0.756
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.2043 0.8526 0.968 0.032
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.7815 0.9332 0.232 0.768
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 1 0.4431 0.7849 0.908 0.092
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.2043 0.8458 0.968 0.032
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.8016 0.9298 0.244 0.756
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.0000 0.8613 1.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 1 0.4562 0.7803 0.904 0.096
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.7815 0.9332 0.232 0.768
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 1 0.4298 0.7894 0.912 0.088
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.8016 0.9298 0.244 0.756
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.2043 0.8526 0.968 0.032
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.7815 0.9332 0.232 0.768
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 2 0.3431 0.6310 0.064 0.936
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.0000 0.8613 1.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.0000 0.8613 1.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.8016 0.9298 0.244 0.756
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.8016 0.7511 0.756 0.244
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.7815 0.9332 0.232 0.768
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.0000 0.8613 1.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 1 0.4298 0.7894 0.912 0.088
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.8016 0.7511 0.756 0.244
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.7815 0.9332 0.232 0.768
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.2603 0.8494 0.956 0.044
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.68760 0.000 1.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.6305 0.03390 0.484 0.516 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.8859 0.34125 0.124 0.500 0.376
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.6308 -0.00843 0.508 0.492 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 1 0.9138 0.02515 0.476 0.376 0.148
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.6295 0.67789 0.472 0.000 0.528
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.0000 0.41735 0.000 0.000 1.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.6307 0.02668 0.488 0.512 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.0892 0.68331 0.020 0.980 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.6299 0.67493 0.476 0.000 0.524
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.6509 0.02552 0.524 0.472 0.004
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 3 0.1289 0.38979 0.000 0.032 0.968
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.7708 -0.01791 0.424 0.528 0.048
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.6295 0.67789 0.472 0.000 0.528
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.6305 0.03225 0.484 0.516 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.1529 0.67374 0.040 0.960 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.6299 0.67493 0.476 0.000 0.524
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.8066 -0.01627 0.404 0.528 0.068
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0000 0.68760 0.000 1.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0237 0.68693 0.004 0.996 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.6295 0.42608 0.000 0.528 0.472
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.6299 0.67493 0.476 0.000 0.524
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.1525 0.68067 0.004 0.964 0.032
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.6295 0.67789 0.472 0.000 0.528
#> 032E0758-7A5B-405B-88D3-74C527605780 2 0.6305 0.03225 0.484 0.516 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0000 0.68760 0.000 1.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0237 0.68700 0.004 0.996 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 3 0.0000 0.41735 0.000 0.000 1.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0000 0.68760 0.000 1.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 3 0.5363 0.05806 0.000 0.276 0.724
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 3 0.0237 0.41436 0.004 0.000 0.996
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.6295 0.67789 0.472 0.000 0.528
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.6295 0.67789 0.472 0.000 0.528
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0000 0.68760 0.000 1.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.6299 0.02384 0.524 0.476 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0000 0.68760 0.000 1.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.6295 0.67789 0.472 0.000 0.528
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 3 0.1647 0.38266 0.004 0.036 0.960
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.6295 0.67789 0.472 0.000 0.528
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.6295 0.67789 0.472 0.000 0.528
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.6295 0.67789 0.472 0.000 0.528
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.5560 -0.26932 0.700 0.000 0.300
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.1289 0.67757 0.032 0.968 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.3116 0.63684 0.108 0.892 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.6305 0.03225 0.484 0.516 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.6295 0.02828 0.528 0.472 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.6295 0.42608 0.000 0.528 0.472
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0000 0.68760 0.000 1.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.6513 0.42061 0.004 0.520 0.476
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.1289 0.68078 0.000 0.968 0.032
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.6509 0.42401 0.004 0.524 0.472
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.6295 0.67789 0.472 0.000 0.528
#> FE2C169A-E41F-45EB-B61E-776493069D78 3 0.0237 0.41436 0.004 0.000 0.996
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.6299 0.67493 0.476 0.000 0.524
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.6295 0.67789 0.472 0.000 0.528
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.1878 0.40711 0.952 0.044 0.004
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.1163 0.67936 0.028 0.972 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.6513 0.42061 0.004 0.520 0.476
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 1 0.9171 0.02791 0.476 0.372 0.152
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.3941 0.15702 0.844 0.000 0.156
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.5058 0.23784 0.820 0.032 0.148
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.6513 0.42061 0.004 0.520 0.476
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.6299 0.02384 0.524 0.476 0.000
#> B40B9470-990D-4443-8484-17266E829557 2 0.1411 0.67730 0.036 0.964 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 2 0.6307 0.02668 0.488 0.512 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 1 0.2297 0.36891 0.944 0.020 0.036
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.7575 -0.06366 0.456 0.504 0.040
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0747 0.68523 0.000 0.984 0.016
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.6095 0.47632 0.000 0.608 0.392
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 2 0.6308 0.01995 0.492 0.508 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.4731 0.44455 0.840 0.128 0.032
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0000 0.68760 0.000 1.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.7328 0.47430 0.040 0.596 0.364
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.0592 0.68609 0.000 0.988 0.012
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.6295 0.67789 0.472 0.000 0.528
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.6302 0.01694 0.520 0.480 0.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.2356 0.66534 0.072 0.928 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.6295 0.67789 0.472 0.000 0.528
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 2 0.6307 0.02668 0.488 0.512 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.1163 0.68202 0.000 0.972 0.028
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.1163 0.68202 0.000 0.972 0.028
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.1411 0.67730 0.036 0.964 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.6295 0.67789 0.472 0.000 0.528
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 3 0.0000 0.41735 0.000 0.000 1.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 3 0.9432 -0.20310 0.372 0.180 0.448
#> EB5CF362-6974-4137-AC92-2051B1594E13 3 0.3784 0.26966 0.004 0.132 0.864
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 2 0.6513 0.42061 0.004 0.520 0.476
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.6299 0.02384 0.524 0.476 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 3 0.0000 0.41735 0.000 0.000 1.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 3 0.0000 0.41735 0.000 0.000 1.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.6295 0.67789 0.472 0.000 0.528
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.1964 0.67241 0.000 0.944 0.056
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.6299 0.67493 0.476 0.000 0.524
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.6295 0.67789 0.472 0.000 0.528
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 2 0.3038 0.62836 0.104 0.896 0.000
#> 2C2589E0-2055-43AC-8001-1643839F80D4 3 0.6299 0.67493 0.476 0.000 0.524
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.6299 0.67493 0.476 0.000 0.524
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 2 0.0424 0.68597 0.008 0.992 0.000
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 2 0.1753 0.67079 0.048 0.952 0.000
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 3 0.6299 0.67493 0.476 0.000 0.524
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 3 0.0000 0.41735 0.000 0.000 1.000
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.0000 0.68760 0.000 1.000 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 2 0.5016 0.46308 0.240 0.760 0.000
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.2878 0.65452 0.000 0.904 0.096
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 1 0.1711 0.34635 0.960 0.008 0.032
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 3 0.6299 0.67493 0.476 0.000 0.524
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 2 0.6513 0.42061 0.004 0.520 0.476
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 2 0.0000 0.68760 0.000 1.000 0.000
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 2 0.6305 0.03225 0.484 0.516 0.000
#> A3AC663C-1578-4946-AED3-2FF9A739168E 3 0.6516 -0.41102 0.004 0.480 0.516
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.5244 0.44626 0.240 0.756 0.004
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 3 0.6295 0.67789 0.472 0.000 0.528
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.6295 0.67789 0.472 0.000 0.528
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.6299 0.67493 0.476 0.000 0.524
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 2 0.2689 0.67183 0.036 0.932 0.032
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.6295 0.67789 0.472 0.000 0.528
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 2 0.2066 0.67142 0.060 0.940 0.000
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 3 0.3500 0.29171 0.004 0.116 0.880
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.6295 0.67789 0.472 0.000 0.528
#> 4ED692EB-E194-49D7-9222-6232051426E5 2 0.6299 0.42270 0.000 0.524 0.476
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 2 0.3267 0.61766 0.116 0.884 0.000
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.6295 0.67789 0.472 0.000 0.528
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 2 0.1031 0.68085 0.024 0.976 0.000
#> 64B33223-EB30-49ED-A3D8-5AC598845465 3 0.6295 0.67789 0.472 0.000 0.528
#> 21599029-B6C9-4385-B87C-FDB99F956118 3 0.6126 0.62310 0.400 0.000 0.600
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 2 0.6513 0.42061 0.004 0.520 0.476
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 3 0.6299 0.67493 0.476 0.000 0.524
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 2 0.0000 0.68760 0.000 1.000 0.000
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 2 0.7526 0.43450 0.040 0.536 0.424
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 2 0.6299 0.42270 0.000 0.524 0.476
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 2 0.6225 0.12731 0.432 0.568 0.000
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 3 0.6295 0.67789 0.472 0.000 0.528
#> 8902E88F-181A-46FE-9C80-F11C107B33E4 2 0.4443 0.63316 0.052 0.864 0.084
#> 24F2D373-AE15-47B0-8F1B-740426145C2C 2 0.0000 0.68760 0.000 1.000 0.000
#> A154A921-EB14-48DF-BF70-AE765CCE5CAB 1 0.6299 0.02384 0.524 0.476 0.000
#> D508AD79-2273-4E78-A6EE-97FBAAC7E851 2 0.0000 0.68760 0.000 1.000 0.000
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#> 709EEE82-EC92-4FD6-81DE-8AAB11EDFC7C 2 0.6513 0.42061 0.004 0.520 0.476
#> E9BAF502-4144-4D13-8ED9-81F808A6B966 3 0.6295 0.67789 0.472 0.000 0.528
#> B19F8551-14F9-42F3-A2FD-BF748F222393 2 0.1529 0.67496 0.040 0.960 0.000
#> 1BCAB024-A978-4CC8-A411-FAC284F2018E 2 0.6295 0.42608 0.000 0.528 0.472
#> 75D212E1-0BF3-4282-826D-32EF7B2AC070 2 0.0747 0.68370 0.016 0.984 0.000
#> E7F262C2-69DE-4555-86B9-2151C7CF8A17 3 0.1031 0.39709 0.000 0.024 0.976
#> 10EC58F7-A6DC-4427-8FDE-D0AF12800DD6 3 0.6295 0.67789 0.472 0.000 0.528
#> 46D4C579-DE69-44A5-92B4-13329069FF45 2 0.6513 0.42061 0.004 0.520 0.476
#> 5FF6911C-D63C-4A6E-8E51-B116870FBE8C 2 0.6308 0.01995 0.492 0.508 0.000
#> 3BED1BB9-EC6D-4B6B-9B4B-268067DA1C21 3 0.5244 0.14554 0.004 0.240 0.756
#> C405814A-66E1-45E3-957D-0F32CFE30BFA 3 0.6299 0.67493 0.476 0.000 0.524
#> 799673ED-C935-4CE9-B8F3-14EE41C25BA1 2 0.6307 0.02668 0.488 0.512 0.000
#> 2A37A64F-C93B-42B6-95D5-744EEFD07FD1 1 0.7555 0.17696 0.520 0.040 0.440
#> FA84E86B-3DB8-4A3F-817A-140DE7568611 2 0.5903 0.56872 0.024 0.744 0.232
#> D22F5C7C-3BAF-496A-8D3A-FB4D5F853E90 3 0.0237 0.41436 0.004 0.000 0.996
#> 3F76F946-07A9-4C0B-BA36-9524068D785B 3 0.6295 0.67789 0.472 0.000 0.528
#> 3977EBDA-AD30-4AA0-AC75-E33086DC533D 2 0.7395 -0.08551 0.476 0.492 0.032
#> 8D361255-E352-4248-9FDF-0A6602CB419D 2 0.0000 0.68760 0.000 1.000 0.000
#> 18AE7FAE-0B1E-4F52-BEC6-6158E61EB679 2 0.7534 0.43182 0.040 0.532 0.428
#> 5F005483-D289-4A3E-BD1E-0A4B3C655951 3 0.5254 0.52771 0.264 0.000 0.736
#> D3803F45-EB0C-4FAD-8C7B-F3755FBF496D 3 0.6295 0.67789 0.472 0.000 0.528
#> DF8D09B4-1F48-4D86-A379-1BB16E114CBE 2 0.0237 0.68745 0.004 0.996 0.000
#> 2A6CB7AD-79C2-4D43-8D97-61A4A6A79D3B 2 0.0000 0.68760 0.000 1.000 0.000
#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 3 0.6295 0.67789 0.472 0.000 0.528
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 2 0.6307 0.02668 0.488 0.512 0.000
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 2 0.0747 0.68381 0.016 0.984 0.000
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 3 0.0000 0.41735 0.000 0.000 1.000
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 3 0.0237 0.41436 0.004 0.000 0.996
#> 16D23472-C0CB-49F9-9139-77920C50235F 2 0.5178 0.56467 0.000 0.744 0.256
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 3 0.6295 0.67789 0.472 0.000 0.528
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.6299 0.02384 0.524 0.476 0.000
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 2 0.5291 0.55513 0.000 0.732 0.268
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 2 0.6307 0.02668 0.488 0.512 0.000
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 3 0.8070 0.57021 0.468 0.064 0.468
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 3 0.0000 0.41735 0.000 0.000 1.000
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 2 0.6295 0.42608 0.000 0.528 0.472
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 2 0.1529 0.67826 0.000 0.960 0.040
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 2 0.6513 0.42061 0.004 0.520 0.476
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 1 0.6308 -0.64406 0.508 0.000 0.492
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 2 0.1529 0.67374 0.040 0.960 0.000
#> D14A535D-5C31-4D78-8F92-3B50922211A2 3 0.6295 0.67789 0.472 0.000 0.528
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.9331 0.07799 0.344 0.480 0.176
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.5760 0.29221 0.328 0.672 0.000
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 3 0.6295 0.67789 0.472 0.000 0.528
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 3 0.6299 0.67493 0.476 0.000 0.524
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.0237 0.68693 0.004 0.996 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 3 0.1163 0.42608 0.028 0.000 0.972
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 2 0.7584 0.39669 0.040 0.488 0.472
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.1529 0.67374 0.040 0.960 0.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.1289 0.67757 0.032 0.968 0.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.1411 0.67570 0.036 0.964 0.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 2 0.1643 0.67285 0.044 0.956 0.000
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.6299 0.42270 0.000 0.524 0.476
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.6299 0.67493 0.476 0.000 0.524
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.6299 0.02384 0.524 0.476 0.000
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.6295 0.42608 0.000 0.528 0.472
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 1 0.8951 -0.44503 0.476 0.128 0.396
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.5591 0.53225 0.000 0.696 0.304
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.0237 0.68700 0.004 0.996 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 3 0.0000 0.41735 0.000 0.000 1.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.7610 0.07820 0.388 0.564 0.048
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 2 0.6307 0.02668 0.488 0.512 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.0000 0.68760 0.000 1.000 0.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 3 0.4796 0.14284 0.220 0.000 0.780
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.3340 0.61600 0.120 0.880 0.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.6516 0.41673 0.004 0.516 0.480
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 3 0.6518 -0.41211 0.004 0.484 0.512
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.0592 0.68563 0.012 0.988 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.5859 0.30884 0.344 0.656 0.000
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.3752 0.59315 0.144 0.856 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.6295 0.67789 0.472 0.000 0.528
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.6299 0.67493 0.476 0.000 0.524
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.2959 0.63173 0.100 0.900 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.0000 0.68760 0.000 1.000 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.0000 0.68760 0.000 1.000 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 1 0.9487 -0.27866 0.476 0.204 0.320
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.6295 0.67789 0.472 0.000 0.528
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.4519 0.43936 0.852 0.116 0.032
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.6513 0.42061 0.004 0.520 0.476
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.0237 0.68732 0.000 0.996 0.004
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 2 0.6308 0.01995 0.492 0.508 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.6295 0.42608 0.000 0.528 0.472
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.0000 0.68760 0.000 1.000 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 2 0.6307 0.02668 0.488 0.512 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.0000 0.68760 0.000 1.000 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.6513 0.42061 0.004 0.520 0.476
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 3 0.6299 0.67493 0.476 0.000 0.524
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.1411 0.67570 0.036 0.964 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 3 0.0000 0.41735 0.000 0.000 1.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.6295 0.67789 0.472 0.000 0.528
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.6299 0.67493 0.476 0.000 0.524
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.1860 0.66733 0.052 0.948 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.6295 0.67789 0.472 0.000 0.528
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 3 0.4172 0.24216 0.004 0.156 0.840
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.7292 0.40678 0.028 0.500 0.472
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.4974 0.57536 0.000 0.764 0.236
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 3 0.4178 0.22543 0.000 0.172 0.828
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.6295 0.67789 0.472 0.000 0.528
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.6295 0.67789 0.472 0.000 0.528
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.6307 0.02668 0.488 0.512 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.0000 0.68760 0.000 1.000 0.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.6295 0.67789 0.472 0.000 0.528
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.0000 0.68760 0.000 1.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.0892 0.68331 0.020 0.980 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 2 0.6308 0.01995 0.492 0.508 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.6295 0.67789 0.472 0.000 0.528
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.6509 0.42401 0.004 0.524 0.472
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 3 0.1765 0.37855 0.004 0.040 0.956
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 1 0.7175 -0.43369 0.592 0.032 0.376
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.6295 0.67789 0.472 0.000 0.528
#> EFA48913-D0BD-4530-A445-C327A89CE956 3 0.3267 0.45421 0.116 0.000 0.884
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.6295 0.67789 0.472 0.000 0.528
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 2 0.6307 0.02668 0.488 0.512 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.0424 0.68651 0.008 0.992 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0000 0.68760 0.000 1.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.6702 -0.25723 0.648 0.024 0.328
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.6295 0.67789 0.472 0.000 0.528
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.6295 0.67789 0.472 0.000 0.528
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.6935 0.18126 0.372 0.604 0.024
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.2681 0.37398 0.932 0.028 0.040
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.0237 0.68693 0.004 0.996 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.6509 0.42401 0.004 0.524 0.472
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 2 0.6307 0.02577 0.488 0.512 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0000 0.68760 0.000 1.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0747 0.68370 0.016 0.984 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.2711 0.65838 0.000 0.912 0.088
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0000 0.68760 0.000 1.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.0237 0.68700 0.004 0.996 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.68760 0.000 1.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.6513 0.42061 0.004 0.520 0.476
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.6513 0.67000 0.476 0.004 0.520
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.68760 0.000 1.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.6295 0.67789 0.472 0.000 0.528
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.1289 0.68078 0.000 0.968 0.032
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.6473 0.31970 0.668 0.312 0.020
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 3 0.1411 0.38595 0.000 0.036 0.964
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.6295 0.67789 0.472 0.000 0.528
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 1 0.9291 -0.36024 0.476 0.168 0.356
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.1411 0.67570 0.036 0.964 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.6295 0.67789 0.472 0.000 0.528
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.6513 0.42061 0.004 0.520 0.476
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.4654 0.55150 0.208 0.792 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.0892 0.40065 0.000 0.020 0.980
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.68760 0.000 1.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.6513 0.42061 0.004 0.520 0.476
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.6299 0.67493 0.476 0.000 0.524
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.6509 0.42401 0.004 0.524 0.472
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.0237 0.41436 0.004 0.000 0.996
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.3879 0.60172 0.152 0.848 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.6295 0.67789 0.472 0.000 0.528
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.2448 0.30079 0.924 0.000 0.076
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.1643 0.67285 0.044 0.956 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0592 0.68563 0.012 0.988 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 1 0.9594 -0.26506 0.436 0.204 0.360
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.6307 0.02668 0.488 0.512 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.6299 0.67493 0.476 0.000 0.524
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.1411 0.67730 0.036 0.964 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.6295 0.42608 0.000 0.528 0.472
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.6305 0.03225 0.484 0.516 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.6295 0.67789 0.472 0.000 0.528
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.2066 0.66364 0.060 0.940 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0817 0.85931 0.024 0.976 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.4630 0.73486 0.252 0.732 0.016 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.6194 0.67390 0.076 0.736 0.120 0.068
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.4103 0.83339 0.744 0.256 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.6549 0.04805 0.076 0.436 0.488 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0895 0.90997 0.020 0.000 0.976 0.004
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.1820 0.87575 0.020 0.000 0.036 0.944
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.4072 0.83221 0.748 0.252 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.3539 0.80333 0.176 0.820 0.004 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0336 0.91490 0.008 0.000 0.992 0.000
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#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 3 0.0895 0.90997 0.020 0.000 0.976 0.004
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 1 0.3764 0.83456 0.784 0.216 0.000 0.000
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 2 0.0817 0.85931 0.024 0.976 0.000 0.000
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 4 0.1820 0.87575 0.020 0.000 0.036 0.944
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 4 0.1820 0.87575 0.020 0.000 0.036 0.944
#> 16D23472-C0CB-49F9-9139-77920C50235F 2 0.3105 0.78579 0.012 0.868 0.000 0.120
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 3 0.1151 0.91085 0.024 0.008 0.968 0.000
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.2843 0.77941 0.892 0.088 0.000 0.020
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 2 0.2101 0.83276 0.012 0.928 0.000 0.060
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.4103 0.83339 0.744 0.256 0.000 0.000
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 3 0.3689 0.84582 0.088 0.048 0.860 0.004
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 4 0.1820 0.87575 0.020 0.000 0.036 0.944
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 4 0.5402 0.17789 0.012 0.472 0.000 0.516
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 2 0.1211 0.86268 0.040 0.960 0.000 0.000
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 4 0.1022 0.88798 0.000 0.032 0.000 0.968
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 3 0.5044 0.73760 0.212 0.012 0.748 0.028
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 2 0.2647 0.81744 0.120 0.880 0.000 0.000
#> D14A535D-5C31-4D78-8F92-3B50922211A2 3 0.0779 0.91152 0.016 0.000 0.980 0.004
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.6418 0.51199 0.088 0.640 0.264 0.008
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.4104 0.78356 0.088 0.832 0.080 0.000
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 3 0.0895 0.90997 0.020 0.000 0.976 0.004
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 3 0.1792 0.89433 0.068 0.000 0.932 0.000
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.0817 0.85931 0.024 0.976 0.000 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 4 0.1913 0.87330 0.020 0.000 0.040 0.940
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 4 0.3790 0.77451 0.164 0.016 0.000 0.820
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.2647 0.81744 0.120 0.880 0.000 0.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.2647 0.81744 0.120 0.880 0.000 0.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.0817 0.85931 0.024 0.976 0.000 0.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 2 0.3626 0.80154 0.184 0.812 0.004 0.000
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.4599 0.63328 0.016 0.736 0.000 0.248
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.1940 0.89066 0.076 0.000 0.924 0.000
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.2908 0.75086 0.896 0.064 0.000 0.040
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 4 0.5174 0.48511 0.012 0.368 0.000 0.620
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 3 0.3107 0.86369 0.080 0.036 0.884 0.000
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.2300 0.82946 0.016 0.920 0.000 0.064
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.2706 0.82777 0.080 0.900 0.020 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 4 0.1820 0.87575 0.020 0.000 0.036 0.944
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.5572 0.62609 0.088 0.716 0.196 0.000
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.4103 0.83339 0.744 0.256 0.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.0817 0.85931 0.024 0.976 0.000 0.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 4 0.4436 0.68422 0.216 0.000 0.020 0.764
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.3569 0.78713 0.196 0.804 0.000 0.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.1022 0.88798 0.000 0.032 0.000 0.968
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 4 0.4644 0.70164 0.024 0.208 0.004 0.764
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.3257 0.82480 0.152 0.844 0.004 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.4690 0.72623 0.260 0.724 0.016 0.000
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.3528 0.78874 0.192 0.808 0.000 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0376 0.91534 0.004 0.000 0.992 0.004
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.1109 0.91090 0.028 0.004 0.968 0.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.2814 0.80872 0.132 0.868 0.000 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.1792 0.84887 0.068 0.932 0.000 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.1637 0.85281 0.060 0.940 0.000 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 3 0.5628 0.60700 0.080 0.216 0.704 0.000
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0779 0.91152 0.016 0.000 0.980 0.004
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.3893 0.65329 0.796 0.008 0.196 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.1022 0.88798 0.000 0.032 0.000 0.968
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.2048 0.84473 0.064 0.928 0.000 0.008
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.3764 0.81705 0.816 0.172 0.012 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 4 0.2676 0.85352 0.012 0.092 0.000 0.896
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.0469 0.85962 0.012 0.988 0.000 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.4103 0.83339 0.744 0.256 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.0469 0.85962 0.012 0.988 0.000 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.1022 0.88798 0.000 0.032 0.000 0.968
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 3 0.1953 0.90241 0.044 0.012 0.940 0.004
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.2647 0.81744 0.120 0.880 0.000 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.1820 0.87575 0.020 0.000 0.036 0.944
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0376 0.91534 0.004 0.000 0.992 0.004
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.1940 0.89066 0.076 0.000 0.924 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.1867 0.85442 0.072 0.928 0.000 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0376 0.91466 0.004 0.000 0.992 0.004
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.1174 0.88700 0.000 0.020 0.012 0.968
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.5902 0.69002 0.140 0.160 0.000 0.700
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.1938 0.83748 0.012 0.936 0.000 0.052
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 4 0.2465 0.87708 0.012 0.044 0.020 0.924
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0188 0.91514 0.000 0.000 0.996 0.004
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.0188 0.91514 0.000 0.000 0.996 0.004
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.4454 0.76216 0.692 0.308 0.000 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.1297 0.85695 0.020 0.964 0.000 0.016
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0524 0.91378 0.008 0.000 0.988 0.004
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.1557 0.86084 0.056 0.944 0.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.3583 0.80506 0.180 0.816 0.004 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.3764 0.82854 0.784 0.216 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0779 0.91152 0.016 0.000 0.980 0.004
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.1022 0.88798 0.000 0.032 0.000 0.968
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.1004 0.88291 0.000 0.004 0.024 0.972
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.3498 0.81208 0.160 0.008 0.832 0.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0336 0.91490 0.008 0.000 0.992 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 3 0.5182 0.56180 0.012 0.012 0.692 0.284
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0524 0.91378 0.008 0.000 0.988 0.004
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.4103 0.83339 0.744 0.256 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.3266 0.82678 0.108 0.868 0.024 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0469 0.85962 0.012 0.988 0.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.2480 0.88070 0.088 0.008 0.904 0.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0188 0.91514 0.000 0.000 0.996 0.004
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0376 0.91465 0.004 0.000 0.992 0.004
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.5727 0.59707 0.080 0.692 0.228 0.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.2408 0.87414 0.104 0.000 0.896 0.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.0817 0.85931 0.024 0.976 0.000 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.3852 0.75717 0.012 0.180 0.000 0.808
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.3942 0.83611 0.764 0.236 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0817 0.85931 0.024 0.976 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.2647 0.81744 0.120 0.880 0.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.1837 0.84631 0.028 0.944 0.000 0.028
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0817 0.85931 0.024 0.976 0.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.3325 0.82635 0.112 0.864 0.024 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0469 0.85962 0.012 0.988 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.1022 0.88798 0.000 0.032 0.000 0.968
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.1807 0.90075 0.052 0.008 0.940 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0469 0.85962 0.012 0.988 0.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0895 0.90997 0.020 0.000 0.976 0.004
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0592 0.85941 0.016 0.984 0.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.4444 0.76643 0.808 0.072 0.120 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.1985 0.88255 0.012 0.020 0.024 0.944
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0188 0.91514 0.000 0.000 0.996 0.004
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.2983 0.86919 0.068 0.040 0.892 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0817 0.85931 0.024 0.976 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0524 0.91516 0.008 0.000 0.988 0.004
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.1022 0.88798 0.000 0.032 0.000 0.968
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.5598 0.69874 0.220 0.704 0.076 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0921 0.88109 0.000 0.000 0.028 0.972
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0469 0.85962 0.012 0.988 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.1022 0.88798 0.000 0.032 0.000 0.968
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.1474 0.90216 0.052 0.000 0.948 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.1545 0.88360 0.008 0.040 0.000 0.952
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.1820 0.87575 0.020 0.000 0.036 0.944
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.5460 0.58413 0.340 0.632 0.000 0.028
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0895 0.90997 0.020 0.000 0.976 0.004
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.4977 0.20162 0.460 0.000 0.540 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.3257 0.81381 0.152 0.844 0.004 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.1743 0.86026 0.056 0.940 0.004 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.3824 0.84603 0.060 0.060 0.864 0.016
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.3837 0.83578 0.776 0.224 0.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0336 0.91490 0.008 0.000 0.992 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.2760 0.80149 0.128 0.872 0.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.5038 0.54918 0.012 0.336 0.000 0.652
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.4134 0.83022 0.740 0.260 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0524 0.91378 0.008 0.000 0.988 0.004
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.3626 0.80154 0.184 0.812 0.004 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.3983 0.16113 0.000 0.660 0.000 0.000 0.340
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.4563 0.40292 0.048 0.708 0.000 0.000 0.244
#> 3BBC7540-136B-47C8-9C09-CD423685B742 5 0.4974 0.30779 0.000 0.200 0.064 0.016 0.720
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.3913 0.76337 0.676 0.324 0.000 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.7110 0.15226 0.020 0.444 0.276 0.000 0.260
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0798 0.82465 0.008 0.000 0.976 0.016 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0960 0.85609 0.016 0.000 0.004 0.972 0.008
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.4948 0.73848 0.676 0.256 0.000 0.000 0.068
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.4269 0.40720 0.036 0.732 0.000 0.000 0.232
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.1205 0.82720 0.004 0.000 0.956 0.000 0.040
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.3527 0.57503 0.804 0.024 0.000 0.000 0.172
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.2648 0.81123 0.000 0.000 0.000 0.848 0.152
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 5 0.6867 -0.10311 0.024 0.388 0.152 0.000 0.436
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.1728 0.80921 0.020 0.000 0.940 0.036 0.004
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.4101 0.76014 0.664 0.332 0.000 0.000 0.004
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.1331 0.49350 0.040 0.952 0.000 0.000 0.008
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.5103 0.70096 0.020 0.048 0.692 0.000 0.240
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.6359 0.28793 0.024 0.592 0.148 0.000 0.236
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.2873 0.45498 0.016 0.856 0.000 0.000 0.128
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.4015 0.16703 0.000 0.652 0.000 0.000 0.348
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#> 3977EBDA-AD30-4AA0-AC75-E33086DC533D 5 0.6671 0.08585 0.024 0.288 0.156 0.000 0.532
#> 8D361255-E352-4248-9FDF-0A6602CB419D 2 0.3039 0.38962 0.000 0.808 0.000 0.000 0.192
#> 18AE7FAE-0B1E-4F52-BEC6-6158E61EB679 5 0.7643 0.30112 0.276 0.112 0.000 0.140 0.472
#> 5F005483-D289-4A3E-BD1E-0A4B3C655951 3 0.5986 0.52124 0.012 0.004 0.596 0.296 0.092
#> D3803F45-EB0C-4FAD-8C7B-F3755FBF496D 3 0.0000 0.83098 0.000 0.000 1.000 0.000 0.000
#> DF8D09B4-1F48-4D86-A379-1BB16E114CBE 2 0.4297 -0.12704 0.000 0.528 0.000 0.000 0.472
#> 2A6CB7AD-79C2-4D43-8D97-61A4A6A79D3B 5 0.4781 0.13960 0.020 0.428 0.000 0.000 0.552
#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 3 0.1978 0.80364 0.024 0.000 0.928 0.044 0.004
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 1 0.5104 0.75480 0.648 0.284 0.000 0.000 0.068
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 2 0.4273 -0.06756 0.000 0.552 0.000 0.000 0.448
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 4 0.1153 0.85363 0.024 0.000 0.004 0.964 0.008
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 4 0.1153 0.85363 0.024 0.000 0.004 0.964 0.008
#> 16D23472-C0CB-49F9-9139-77920C50235F 2 0.4855 -0.08853 0.000 0.552 0.000 0.024 0.424
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 3 0.3343 0.78144 0.016 0.000 0.812 0.000 0.172
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.2304 0.65721 0.908 0.048 0.000 0.000 0.044
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 5 0.4517 0.37032 0.000 0.388 0.000 0.012 0.600
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.3932 0.76205 0.672 0.328 0.000 0.000 0.000
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 5 0.7044 -0.23821 0.024 0.184 0.376 0.000 0.416
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 4 0.1153 0.85363 0.024 0.000 0.004 0.964 0.008
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 5 0.6365 0.40502 0.000 0.228 0.000 0.252 0.520
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 2 0.2818 0.45891 0.012 0.856 0.000 0.000 0.132
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 4 0.1270 0.86658 0.000 0.000 0.000 0.948 0.052
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 3 0.7188 0.23576 0.280 0.016 0.368 0.000 0.336
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 2 0.2378 0.48301 0.048 0.904 0.000 0.000 0.048
#> D14A535D-5C31-4D78-8F92-3B50922211A2 3 0.1299 0.81940 0.012 0.000 0.960 0.020 0.008
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 5 0.5611 0.24588 0.004 0.196 0.148 0.000 0.652
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.5831 0.31665 0.024 0.584 0.060 0.000 0.332
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 3 0.1960 0.80932 0.020 0.000 0.928 0.048 0.004
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 3 0.3462 0.77034 0.012 0.000 0.792 0.000 0.196
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.3395 0.33508 0.000 0.764 0.000 0.000 0.236
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 4 0.1756 0.84062 0.016 0.000 0.036 0.940 0.008
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 4 0.6770 0.28766 0.276 0.000 0.000 0.384 0.340
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.2036 0.48568 0.056 0.920 0.000 0.000 0.024
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.1502 0.48990 0.056 0.940 0.000 0.000 0.004
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.4242 -0.01995 0.000 0.572 0.000 0.000 0.428
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 2 0.4370 0.40715 0.040 0.724 0.000 0.000 0.236
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 5 0.6369 0.29555 0.008 0.404 0.000 0.128 0.460
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.4631 0.72950 0.024 0.024 0.728 0.000 0.224
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.3602 0.56980 0.796 0.024 0.000 0.000 0.180
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 5 0.6259 0.40845 0.000 0.212 0.000 0.248 0.540
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 3 0.7216 0.28379 0.024 0.312 0.420 0.000 0.244
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 5 0.4551 0.38483 0.000 0.368 0.000 0.016 0.616
#> 91C50649-EC31-4E49-8312-199C21A1F371 5 0.4927 0.05043 0.024 0.388 0.004 0.000 0.584
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 4 0.1153 0.85363 0.024 0.000 0.004 0.964 0.008
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 5 0.5918 0.19648 0.024 0.192 0.132 0.000 0.652
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.3913 0.76337 0.676 0.324 0.000 0.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.3003 0.38910 0.000 0.812 0.000 0.000 0.188
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 4 0.5914 0.57679 0.232 0.004 0.012 0.636 0.116
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.3507 0.46760 0.052 0.828 0.000 0.000 0.120
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.1270 0.86658 0.000 0.000 0.000 0.948 0.052
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.7072 0.04296 0.016 0.424 0.000 0.316 0.244
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.3977 0.42746 0.032 0.764 0.000 0.000 0.204
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 5 0.6189 -0.07121 0.092 0.380 0.016 0.000 0.512
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.4874 0.21501 0.032 0.600 0.000 0.000 0.368
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0000 0.83098 0.000 0.000 1.000 0.000 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.3586 0.77207 0.020 0.000 0.792 0.000 0.188
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.2661 0.47704 0.056 0.888 0.000 0.000 0.056
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.0865 0.49132 0.004 0.972 0.000 0.000 0.024
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.1877 0.49486 0.012 0.924 0.000 0.000 0.064
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.7305 -0.09019 0.024 0.372 0.340 0.000 0.264
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.1173 0.82052 0.012 0.000 0.964 0.020 0.004
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.5692 0.70869 0.696 0.160 0.048 0.000 0.096
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.1341 0.86527 0.000 0.000 0.000 0.944 0.056
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 5 0.4865 0.20258 0.016 0.444 0.000 0.004 0.536
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.5117 0.73000 0.696 0.204 0.004 0.000 0.096
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 4 0.5291 0.19109 0.000 0.048 0.000 0.496 0.456
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.4268 -0.06729 0.000 0.556 0.000 0.000 0.444
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.3932 0.76205 0.672 0.328 0.000 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.4306 -0.15510 0.000 0.508 0.000 0.000 0.492
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.1121 0.86699 0.000 0.000 0.000 0.956 0.044
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 3 0.4973 0.72223 0.016 0.056 0.712 0.000 0.216
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.1430 0.49012 0.052 0.944 0.000 0.000 0.004
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.1153 0.85363 0.024 0.000 0.004 0.964 0.008
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0162 0.83102 0.000 0.000 0.996 0.000 0.004
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.4352 0.73333 0.020 0.012 0.732 0.000 0.236
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 5 0.4562 0.04771 0.008 0.496 0.000 0.000 0.496
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0000 0.83098 0.000 0.000 1.000 0.000 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.1043 0.86687 0.000 0.000 0.000 0.960 0.040
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 5 0.8264 -0.13574 0.232 0.128 0.000 0.300 0.340
#> D7791F51-5151-4E21-802F-F61EE07D626F 5 0.4779 0.37613 0.000 0.388 0.000 0.024 0.588
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 4 0.5036 0.40073 0.000 0.012 0.016 0.556 0.416
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0000 0.83098 0.000 0.000 1.000 0.000 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.0000 0.83098 0.000 0.000 1.000 0.000 0.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.6076 0.58341 0.572 0.196 0.000 0.000 0.232
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 5 0.4367 0.31600 0.000 0.416 0.000 0.004 0.580
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0000 0.83098 0.000 0.000 1.000 0.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.2448 0.48949 0.020 0.892 0.000 0.000 0.088
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.3197 0.46449 0.024 0.836 0.000 0.000 0.140
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.5258 0.74042 0.680 0.180 0.000 0.000 0.140
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.1059 0.82201 0.008 0.000 0.968 0.020 0.004
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.1270 0.86658 0.000 0.000 0.000 0.948 0.052
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.1270 0.86658 0.000 0.000 0.000 0.948 0.052
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.7266 -0.00831 0.028 0.428 0.296 0.000 0.248
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0162 0.83102 0.000 0.000 0.996 0.000 0.004
#> EFA48913-D0BD-4530-A445-C327A89CE956 3 0.5990 0.53857 0.008 0.004 0.564 0.088 0.336
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.83098 0.000 0.000 1.000 0.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.3932 0.76205 0.672 0.328 0.000 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.4715 0.39160 0.024 0.684 0.012 0.000 0.280
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.4304 -0.15234 0.000 0.516 0.000 0.000 0.484
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.7250 0.34550 0.028 0.284 0.436 0.000 0.252
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0000 0.83098 0.000 0.000 1.000 0.000 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.83098 0.000 0.000 1.000 0.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.6710 0.25679 0.024 0.516 0.152 0.000 0.308
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.5739 0.65578 0.028 0.068 0.636 0.000 0.268
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.3752 0.26401 0.000 0.708 0.000 0.000 0.292
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.6624 0.16934 0.000 0.264 0.000 0.456 0.280
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.4616 0.76349 0.676 0.288 0.000 0.000 0.036
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.2377 0.43784 0.000 0.872 0.000 0.000 0.128
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.1830 0.48878 0.040 0.932 0.000 0.000 0.028
#> 85C38170-F2A0-4491-BFDB-38489204C015 5 0.4517 0.31723 0.000 0.436 0.000 0.008 0.556
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.3999 0.16802 0.000 0.656 0.000 0.000 0.344
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.4646 0.39117 0.024 0.696 0.012 0.000 0.268
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.4060 0.12041 0.000 0.640 0.000 0.000 0.360
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.1270 0.86658 0.000 0.000 0.000 0.948 0.052
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.4818 0.71418 0.020 0.028 0.700 0.000 0.252
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.4304 -0.15247 0.000 0.516 0.000 0.000 0.484
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.1728 0.80921 0.020 0.000 0.940 0.036 0.004
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.4305 -0.19438 0.000 0.512 0.000 0.000 0.488
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.5603 0.72869 0.684 0.192 0.028 0.000 0.096
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.3210 0.75643 0.000 0.000 0.000 0.788 0.212
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.83098 0.000 0.000 1.000 0.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 5 0.6118 -0.31046 0.020 0.072 0.452 0.000 0.456
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.3336 0.34742 0.000 0.772 0.000 0.000 0.228
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0162 0.83102 0.000 0.000 0.996 0.000 0.004
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.1270 0.86658 0.000 0.000 0.000 0.948 0.052
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.5477 0.36612 0.040 0.668 0.044 0.000 0.248
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.1197 0.86696 0.000 0.000 0.000 0.952 0.048
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.4045 0.12896 0.000 0.644 0.000 0.000 0.356
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.1671 0.85634 0.000 0.000 0.000 0.924 0.076
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.3828 0.77053 0.008 0.020 0.788 0.000 0.184
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.3003 0.77675 0.000 0.000 0.000 0.812 0.188
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.1153 0.85363 0.024 0.000 0.004 0.964 0.008
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.6296 0.07901 0.360 0.480 0.000 0.000 0.160
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.2251 0.79748 0.024 0.000 0.916 0.052 0.008
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.5562 0.18302 0.408 0.000 0.520 0.000 0.072
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.2370 0.49203 0.040 0.904 0.000 0.000 0.056
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.1410 0.48592 0.000 0.940 0.000 0.000 0.060
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 5 0.5890 -0.30328 0.020 0.044 0.440 0.004 0.492
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.5519 0.70088 0.584 0.332 0.000 0.000 0.084
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0510 0.83066 0.000 0.000 0.984 0.000 0.016
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 5 0.6439 0.32327 0.180 0.372 0.000 0.000 0.448
#> 44A16F74-F823-4B27-AC3B-52526426199B 5 0.6416 0.38950 0.000 0.208 0.000 0.292 0.500
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.4418 0.75375 0.652 0.332 0.000 0.000 0.016
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0162 0.83016 0.000 0.000 0.996 0.004 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.4451 0.40248 0.040 0.712 0.000 0.000 0.248
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.4384 -7.46e-02 0.520 0.460 0.000 0.000 0.004 0.016
#> 27496AAB-AC06-4100-BB41-0029F63CC678 6 0.4296 3.01e-01 0.440 0.008 0.000 0.000 0.008 0.544
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.5226 1.92e-01 0.020 0.576 0.036 0.012 0.000 0.356
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.3954 6.41e-01 0.352 0.000 0.000 0.000 0.636 0.012
#> 82DA87CF-C067-44B3-A372-ECB056337B08 6 0.5240 5.83e-01 0.252 0.032 0.076 0.000 0.000 0.640
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#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.3584 5.47e-01 0.308 0.688 0.000 0.000 0.004 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 6 0.4815 5.94e-01 0.236 0.008 0.088 0.000 0.000 0.668
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0547 8.60e-01 0.000 0.000 0.980 0.000 0.000 0.020
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0547 8.60e-01 0.000 0.000 0.980 0.000 0.000 0.020
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 6 0.4919 5.59e-01 0.272 0.036 0.040 0.000 0.000 0.652
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 6 0.5011 5.94e-01 0.084 0.024 0.220 0.000 0.000 0.672
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.4205 6.25e-02 0.564 0.420 0.000 0.000 0.000 0.016
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.7443 6.21e-02 0.228 0.324 0.000 0.316 0.000 0.132
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 5 0.4224 6.44e-01 0.340 0.000 0.000 0.000 0.632 0.028
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.3122 5.89e-01 0.804 0.176 0.000 0.000 0.000 0.020
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.1219 6.64e-01 0.948 0.004 0.000 0.000 0.000 0.048
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.3134 6.19e-01 0.168 0.808 0.000 0.000 0.000 0.024
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.4378 -5.10e-02 0.528 0.452 0.000 0.000 0.004 0.016
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 6 0.4253 2.68e-01 0.460 0.016 0.000 0.000 0.000 0.524
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.4264 -1.80e-01 0.492 0.492 0.000 0.000 0.000 0.016
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.1082 8.81e-01 0.000 0.040 0.000 0.956 0.000 0.004
#> 0B400F91-2355-43AB-AA86-725C21352AB7 6 0.4084 3.88e-01 0.000 0.012 0.400 0.000 0.000 0.588
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.4042 5.32e-01 0.316 0.664 0.000 0.000 0.004 0.016
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.1390 8.34e-01 0.000 0.000 0.948 0.016 0.004 0.032
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.3766 5.61e-01 0.304 0.684 0.000 0.000 0.000 0.012
#> F4142833-0749-44A4-B769-66262AA4A484 5 0.5361 6.15e-01 0.176 0.000 0.020 0.000 0.644 0.160
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.4900 5.27e-01 0.000 0.328 0.000 0.592 0.000 0.080
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0547 8.60e-01 0.000 0.000 0.980 0.000 0.000 0.020
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 6 0.5536 5.19e-01 0.012 0.248 0.148 0.000 0.000 0.592
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.4228 3.30e-01 0.656 0.316 0.000 0.000 0.008 0.020
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.1285 8.39e-01 0.000 0.004 0.944 0.000 0.000 0.052
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.1265 8.80e-01 0.000 0.044 0.000 0.948 0.000 0.008
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 6 0.4172 3.68e-01 0.424 0.004 0.008 0.000 0.000 0.564
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.1082 8.82e-01 0.000 0.040 0.000 0.956 0.000 0.004
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.4264 1.74e-01 0.488 0.496 0.000 0.000 0.000 0.016
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.3092 8.10e-01 0.000 0.104 0.000 0.836 0.000 0.060
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 6 0.3737 4.14e-01 0.000 0.000 0.392 0.000 0.000 0.608
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.4552 6.00e-01 0.000 0.288 0.000 0.648 0.000 0.064
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.1951 8.64e-01 0.000 0.000 0.020 0.916 0.004 0.060
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.6529 1.65e-01 0.456 0.100 0.000 0.000 0.356 0.088
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.2579 7.94e-01 0.000 0.000 0.884 0.048 0.008 0.060
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.5722 -8.63e-05 0.000 0.000 0.432 0.000 0.404 0.164
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.2302 6.51e-01 0.872 0.008 0.000 0.000 0.000 0.120
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.3270 6.54e-01 0.820 0.060 0.000 0.000 0.000 0.120
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 6 0.5527 5.06e-01 0.004 0.276 0.156 0.000 0.000 0.564
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 5 0.5721 4.79e-01 0.404 0.008 0.000 0.000 0.460 0.128
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.2482 7.32e-01 0.000 0.004 0.848 0.000 0.000 0.148
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.5708 5.36e-01 0.184 0.608 0.000 0.000 0.180 0.028
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.5001 5.59e-01 0.088 0.720 0.000 0.116 0.000 0.076
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 5 0.4416 6.24e-01 0.372 0.008 0.000 0.000 0.600 0.020
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0458 8.60e-01 0.000 0.000 0.984 0.000 0.000 0.016
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.4095 -1.44e-01 0.512 0.008 0.000 0.000 0.000 0.480
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 17395 rows and 473 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 0.680 0.817 0.925 0.4994 0.502 0.502
#> 3 3 0.658 0.636 0.806 0.3169 0.744 0.537
#> 4 4 0.719 0.746 0.869 0.1253 0.826 0.551
#> 5 5 0.778 0.695 0.844 0.0692 0.894 0.624
#> 6 6 0.769 0.693 0.836 0.0372 0.945 0.749
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
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.0000 0.90716 1.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.5842 0.77618 0.860 0.140
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0000 0.92335 0.000 1.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.90716 1.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0000 0.92335 0.000 1.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.0000 0.92335 0.000 1.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.0000 0.92335 0.000 1.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.90716 1.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.5737 0.80347 0.864 0.136
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.0000 0.92335 0.000 1.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.90716 1.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0000 0.92335 0.000 1.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.9686 0.38130 0.396 0.604
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.0000 0.92335 0.000 1.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0000 0.90716 1.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.0000 0.90716 1.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.0000 0.92335 0.000 1.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.9686 0.38130 0.396 0.604
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.0000 0.90716 1.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.0000 0.90716 1.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 1 0.7602 0.71588 0.780 0.220
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.0000 0.92335 0.000 1.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 1 0.7602 0.71588 0.780 0.220
#> 7194CC84-3897-4418-9695-66CC12CFE900 2 0.0000 0.92335 0.000 1.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0000 0.90716 1.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.0000 0.90716 1.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 1 0.0000 0.90716 1.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.0000 0.92335 0.000 1.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.0000 0.90716 1.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.0000 0.92335 0.000 1.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.0672 0.91773 0.008 0.992
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.0000 0.92335 0.000 1.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.0000 0.92335 0.000 1.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.0000 0.90716 1.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0000 0.90716 1.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.0000 0.90716 1.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.0000 0.92335 0.000 1.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.0000 0.92335 0.000 1.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.0000 0.92335 0.000 1.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.0000 0.92335 0.000 1.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.0000 0.92335 0.000 1.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 2 0.4298 0.84785 0.088 0.912
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.0000 0.90716 1.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.9896 0.23841 0.440 0.560
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.0000 0.90716 1.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.5178 0.80369 0.884 0.116
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 1 0.9710 0.41937 0.600 0.400
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.0000 0.90716 1.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.9881 0.10461 0.436 0.564
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.7219 0.73886 0.800 0.200
#> F8FF0B4E-0868-417C-9118-F484437E57DA 1 0.7602 0.71588 0.780 0.220
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.0000 0.92335 0.000 1.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 2 0.0000 0.92335 0.000 1.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.0000 0.92335 0.000 1.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.0000 0.92335 0.000 1.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 2 0.9635 0.40040 0.388 0.612
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.0000 0.90716 1.000 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 1.0000 -0.12475 0.496 0.504
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.0376 0.92059 0.004 0.996
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 2 0.7219 0.72345 0.200 0.800
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 2 0.7674 0.69222 0.224 0.776
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 1 0.9710 0.41937 0.600 0.400
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.0000 0.90716 1.000 0.000
#> B40B9470-990D-4443-8484-17266E829557 1 0.0000 0.90716 1.000 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.0000 0.90716 1.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 2 0.9661 0.39209 0.392 0.608
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.1184 0.91170 0.016 0.984
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 1 0.5946 0.79606 0.856 0.144
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 1 0.7602 0.71588 0.780 0.220
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0000 0.90716 1.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 2 0.9970 0.19134 0.468 0.532
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 1 0.0000 0.90716 1.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 1 0.0000 0.90716 1.000 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 1 0.0000 0.90716 1.000 0.000
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#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.0000 0.92335 0.000 1.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 1 0.9795 0.38144 0.584 0.416
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 1.0000 0.08814 0.500 0.500
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.0000 0.92335 0.000 1.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.0000 0.90716 1.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 1 0.9795 0.38193 0.584 0.416
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.0000 0.92335 0.000 1.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 1 0.9686 0.42757 0.604 0.396
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.0000 0.92335 0.000 1.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.0000 0.90716 1.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.0000 0.92335 0.000 1.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 2 0.7602 0.69759 0.220 0.780
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.0000 0.90716 1.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.0000 0.90716 1.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.0000 0.92335 0.000 1.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0000 0.90716 1.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.0000 0.92335 0.000 1.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.0000 0.90716 1.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 1 0.9710 0.41937 0.600 0.400
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0000 0.90716 1.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.0000 0.92335 0.000 1.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.0000 0.90716 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.6126 0.6933 0.600 0.000 0.400
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.0424 0.6766 0.992 0.000 0.008
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.6168 0.6980 0.000 0.588 0.412
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.6824 1.000 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.5591 0.7276 0.000 0.304 0.696
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.6126 0.8259 0.000 0.400 0.600
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.0000 0.5191 0.000 1.000 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.6824 1.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.6126 0.6933 0.600 0.000 0.400
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.6126 0.8259 0.000 0.400 0.600
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.5138 0.3602 0.748 0.252 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0000 0.5191 0.000 1.000 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.3619 0.4898 0.000 0.136 0.864
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.6126 0.8259 0.000 0.400 0.600
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0000 0.6824 1.000 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.6126 0.6933 0.600 0.000 0.400
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.6126 0.8259 0.000 0.400 0.600
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 3 0.5678 0.7417 0.000 0.316 0.684
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.6126 0.6933 0.600 0.000 0.400
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.6126 0.6933 0.600 0.000 0.400
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.6126 0.7051 0.000 0.600 0.400
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.6126 0.8259 0.000 0.400 0.600
#> C42C8456-82F9-433C-82BA-F1284CDC425C 1 0.8460 0.5303 0.472 0.088 0.440
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.6126 0.8259 0.000 0.400 0.600
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0000 0.6824 1.000 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.6126 0.6933 0.600 0.000 0.400
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 1 0.6126 0.6933 0.600 0.000 0.400
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.0000 0.5191 0.000 1.000 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.6126 0.6933 0.600 0.000 0.400
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.0000 0.5191 0.000 1.000 0.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.6126 0.4055 0.400 0.600 0.000
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.6126 0.8259 0.000 0.400 0.600
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.6126 0.8259 0.000 0.400 0.600
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.6126 0.6933 0.600 0.000 0.400
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0000 0.6824 1.000 0.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.6126 0.6933 0.600 0.000 0.400
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.6126 0.8259 0.000 0.400 0.600
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.0000 0.5191 0.000 1.000 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.6126 0.8259 0.000 0.400 0.600
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.6126 0.8259 0.000 0.400 0.600
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.6126 0.8259 0.000 0.400 0.600
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 3 0.6126 0.4961 0.400 0.000 0.600
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.6126 0.6933 0.600 0.000 0.400
#> 040D3276-2E61-426E-B182-AEE6C9778488 3 0.4779 0.1504 0.124 0.036 0.840
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.0000 0.6824 1.000 0.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.2066 0.6330 0.940 0.000 0.060
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.6126 0.7051 0.000 0.600 0.400
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.6126 0.6933 0.600 0.000 0.400
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.6126 0.7051 0.000 0.600 0.400
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.6126 0.6933 0.600 0.000 0.400
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.6126 0.7051 0.000 0.600 0.400
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.6126 0.8259 0.000 0.400 0.600
#> FE2C169A-E41F-45EB-B61E-776493069D78 2 0.0000 0.5191 0.000 1.000 0.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.6126 0.8259 0.000 0.400 0.600
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.6126 0.8259 0.000 0.400 0.600
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 3 0.6126 0.4961 0.400 0.000 0.600
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.0000 0.6824 1.000 0.000 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.6126 0.7051 0.000 0.600 0.400
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 3 0.5678 0.7417 0.000 0.316 0.684
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.6126 0.4961 0.400 0.000 0.600
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 3 0.6126 0.4961 0.400 0.000 0.600
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.6126 0.7051 0.000 0.600 0.400
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.0000 0.6824 1.000 0.000 0.000
#> B40B9470-990D-4443-8484-17266E829557 1 0.6126 0.6933 0.600 0.000 0.400
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.0000 0.6824 1.000 0.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 3 0.6126 0.4961 0.400 0.000 0.600
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 3 0.2448 0.3906 0.000 0.076 0.924
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 1 0.6126 0.6933 0.600 0.000 0.400
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.6126 0.7051 0.000 0.600 0.400
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0000 0.6824 1.000 0.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.6308 -0.2980 0.508 0.000 0.492
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 1 0.6126 0.6933 0.600 0.000 0.400
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.6126 0.7051 0.000 0.600 0.400
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 1 0.6126 0.6933 0.600 0.000 0.400
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.6126 0.8259 0.000 0.400 0.600
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.0000 0.6824 1.000 0.000 0.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.6126 0.6933 0.600 0.000 0.400
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.6126 0.8259 0.000 0.400 0.600
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.0000 0.6824 1.000 0.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 1 0.6126 0.6933 0.600 0.000 0.400
#> B308794B-BB34-43C7-AC89-C5230E782F0A 1 0.6126 0.6933 0.600 0.000 0.400
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 1 0.6126 0.6933 0.600 0.000 0.400
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.6126 0.8259 0.000 0.400 0.600
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 2 0.0000 0.5191 0.000 1.000 0.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 2 0.6126 0.4055 0.400 0.600 0.000
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.2796 0.5926 0.000 0.908 0.092
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 2 0.6126 0.7051 0.000 0.600 0.400
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0000 0.6824 1.000 0.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.0000 0.5191 0.000 1.000 0.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.0000 0.5191 0.000 1.000 0.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.6126 0.8259 0.000 0.400 0.600
#> 77744579-17ED-499B-92FD-089789C44F8A 1 0.9577 0.3442 0.404 0.196 0.400
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.6126 0.8259 0.000 0.400 0.600
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.6126 0.8259 0.000 0.400 0.600
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.0000 0.6824 1.000 0.000 0.000
#> 2C2589E0-2055-43AC-8001-1643839F80D4 3 0.6126 0.8259 0.000 0.400 0.600
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.6126 0.8259 0.000 0.400 0.600
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 1 0.0237 0.6798 0.996 0.004 0.000
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 1 0.0000 0.6824 1.000 0.000 0.000
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 3 0.6126 0.8259 0.000 0.400 0.600
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 2 0.0000 0.5191 0.000 1.000 0.000
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 1 0.6126 0.6933 0.600 0.000 0.400
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 1 0.0000 0.6824 1.000 0.000 0.000
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 3 0.9841 -0.5371 0.348 0.252 0.400
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 3 0.6126 0.4961 0.400 0.000 0.600
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 3 0.6126 0.8259 0.000 0.400 0.600
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 2 0.6126 0.7051 0.000 0.600 0.400
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 1 0.6126 0.6933 0.600 0.000 0.400
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 1 0.0000 0.6824 1.000 0.000 0.000
#> A3AC663C-1578-4946-AED3-2FF9A739168E 2 0.6111 0.7049 0.000 0.604 0.396
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 3 0.0000 0.2576 0.000 0.000 1.000
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 3 0.6126 0.8259 0.000 0.400 0.600
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.6330 0.5008 0.396 0.004 0.600
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.6126 0.8259 0.000 0.400 0.600
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 1 0.8527 0.5569 0.504 0.096 0.400
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.6126 0.8259 0.000 0.400 0.600
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 3 0.7328 -0.4430 0.364 0.040 0.596
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 2 0.3879 0.6319 0.000 0.848 0.152
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.6126 0.8259 0.000 0.400 0.600
#> 4ED692EB-E194-49D7-9222-6232051426E5 2 0.6126 0.7051 0.000 0.600 0.400
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 1 0.0000 0.6824 1.000 0.000 0.000
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.6126 0.8259 0.000 0.400 0.600
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 1 0.6126 0.6933 0.600 0.000 0.400
#> 64B33223-EB30-49ED-A3D8-5AC598845465 3 0.6126 0.8259 0.000 0.400 0.600
#> 21599029-B6C9-4385-B87C-FDB99F956118 3 0.6280 0.7609 0.000 0.460 0.540
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 2 0.6126 0.7051 0.000 0.600 0.400
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 3 0.6126 0.8259 0.000 0.400 0.600
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 1 0.6126 0.6933 0.600 0.000 0.400
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 2 0.6126 0.4055 0.400 0.600 0.000
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 2 0.6126 0.7051 0.000 0.600 0.400
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 1 0.0000 0.6824 1.000 0.000 0.000
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 3 0.6126 0.8259 0.000 0.400 0.600
#> 8902E88F-181A-46FE-9C80-F11C107B33E4 3 0.6260 -0.6285 0.000 0.448 0.552
#> 24F2D373-AE15-47B0-8F1B-740426145C2C 1 0.6126 0.6933 0.600 0.000 0.400
#> A154A921-EB14-48DF-BF70-AE765CCE5CAB 1 0.0000 0.6824 1.000 0.000 0.000
#> D508AD79-2273-4E78-A6EE-97FBAAC7E851 1 0.6126 0.6933 0.600 0.000 0.400
#> 023D7F8E-5BD5-4AE8-8A7F-1851AA7F228A 3 0.6126 0.8259 0.000 0.400 0.600
#> 3BDE962B-6791-40BC-B3AA-C4D527FFEF22 1 0.5465 0.2657 0.712 0.000 0.288
#> 2F2D34BA-A568-470E-B0D9-5875E897FF39 3 0.6126 0.8259 0.000 0.400 0.600
#> 6DB55201-3973-4650-842E-842D5869C567 1 0.0000 0.6824 1.000 0.000 0.000
#> 258CFB91-4E4F-48F9-A483-9F6C4CFF0D3C 3 0.6192 0.8066 0.000 0.420 0.580
#> 5373681D-9C2C-46FE-AA89-05741DA4080B 1 0.0000 0.6824 1.000 0.000 0.000
#> 050B778A-9D6F-4742-B6AA-CBF8541F6203 1 0.0000 0.6824 1.000 0.000 0.000
#> 46FAC69E-DB01-452F-A3EE-D7339DD562CE 1 0.5098 0.3586 0.752 0.000 0.248
#> 2115D9F7-F4A9-4408-9AEF-BCFAF10C4867 1 0.6126 0.6933 0.600 0.000 0.400
#> DCEFC413-9710-4863-A5B1-8EFBA98CF126 1 0.6126 0.6933 0.600 0.000 0.400
#> 49CA7C56-BD81-4E36-9E50-EF36EDDD8D28 1 0.4235 0.4919 0.824 0.000 0.176
#> 9A497869-8F26-438D-85B0-C2CB39E487AE 1 0.6126 0.6933 0.600 0.000 0.400
#> D7B44985-AF29-44DF-8966-1228629EE8E2 3 0.6192 0.8066 0.000 0.420 0.580
#> 65343EA3-C1AA-4AA6-BC96-D8DE39E48000 3 0.6126 0.8259 0.000 0.400 0.600
#> 38C30CDE-2564-40A0-9594-FFA8D8330585 1 0.6126 0.6933 0.600 0.000 0.400
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#> 3977EBDA-AD30-4AA0-AC75-E33086DC533D 3 0.1411 0.3219 0.000 0.036 0.964
#> 8D361255-E352-4248-9FDF-0A6602CB419D 1 0.6126 0.6933 0.600 0.000 0.400
#> 18AE7FAE-0B1E-4F52-BEC6-6158E61EB679 2 0.6126 0.7051 0.000 0.600 0.400
#> 5F005483-D289-4A3E-BD1E-0A4B3C655951 2 0.6126 -0.5432 0.000 0.600 0.400
#> D3803F45-EB0C-4FAD-8C7B-F3755FBF496D 3 0.6126 0.8259 0.000 0.400 0.600
#> DF8D09B4-1F48-4D86-A379-1BB16E114CBE 1 0.6126 0.6933 0.600 0.000 0.400
#> 2A6CB7AD-79C2-4D43-8D97-61A4A6A79D3B 1 0.0000 0.6824 1.000 0.000 0.000
#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 3 0.6126 0.8259 0.000 0.400 0.600
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 1 0.0000 0.6824 1.000 0.000 0.000
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 1 0.6126 0.6933 0.600 0.000 0.400
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 2 0.0000 0.5191 0.000 1.000 0.000
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 2 0.0000 0.5191 0.000 1.000 0.000
#> 16D23472-C0CB-49F9-9139-77920C50235F 2 0.9364 0.3944 0.168 0.432 0.400
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 3 0.6126 0.8259 0.000 0.400 0.600
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.0000 0.6824 1.000 0.000 0.000
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 2 0.6126 0.7051 0.000 0.600 0.400
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.0000 0.6824 1.000 0.000 0.000
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 3 0.6154 0.8185 0.000 0.408 0.592
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 2 0.0000 0.5191 0.000 1.000 0.000
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 2 0.6126 0.7051 0.000 0.600 0.400
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 1 0.8859 0.5144 0.480 0.120 0.400
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 2 0.6126 0.7051 0.000 0.600 0.400
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 3 0.6330 0.8233 0.004 0.396 0.600
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 1 0.3816 0.6877 0.852 0.000 0.148
#> D14A535D-5C31-4D78-8F92-3B50922211A2 3 0.6126 0.8259 0.000 0.400 0.600
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.6225 0.3246 0.000 0.568 0.432
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 3 0.0000 0.2576 0.000 0.000 1.000
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 3 0.6126 0.8259 0.000 0.400 0.600
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 3 0.7050 0.8064 0.028 0.372 0.600
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 1 0.6126 0.6933 0.600 0.000 0.400
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 2 0.2165 0.3994 0.000 0.936 0.064
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 2 0.6062 0.7040 0.000 0.616 0.384
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 1 0.6126 0.6933 0.600 0.000 0.400
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 1 0.6126 0.6933 0.600 0.000 0.400
#> B2010F2F-71D4-4637-BD7A-794E99732E03 1 0.6126 0.6933 0.600 0.000 0.400
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 1 0.1529 0.6842 0.960 0.000 0.040
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.6126 0.7051 0.000 0.600 0.400
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.6126 0.8259 0.000 0.400 0.600
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.1529 0.6521 0.960 0.040 0.000
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.6126 0.7051 0.000 0.600 0.400
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 3 0.6126 0.8259 0.000 0.400 0.600
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.6126 0.7051 0.000 0.600 0.400
#> 91C50649-EC31-4E49-8312-199C21A1F371 1 0.6126 0.6933 0.600 0.000 0.400
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.0000 0.5191 0.000 1.000 0.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 3 0.6126 0.4961 0.400 0.000 0.600
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.0000 0.6824 1.000 0.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 1 0.6126 0.6933 0.600 0.000 0.400
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 2 0.6126 0.4055 0.400 0.600 0.000
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.0000 0.6824 1.000 0.000 0.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.6126 0.7051 0.000 0.600 0.400
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.6062 0.7040 0.000 0.616 0.384
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 1 0.6126 0.6933 0.600 0.000 0.400
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 1 0.3551 0.5595 0.868 0.000 0.132
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 1 0.0000 0.6824 1.000 0.000 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.6126 0.8259 0.000 0.400 0.600
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.6126 0.8259 0.000 0.400 0.600
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.0000 0.6824 1.000 0.000 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 1 0.6126 0.6933 0.600 0.000 0.400
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 1 0.6126 0.6933 0.600 0.000 0.400
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 3 0.6126 0.8259 0.000 0.400 0.600
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.6126 0.8259 0.000 0.400 0.600
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.6307 -0.2888 0.512 0.000 0.488
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.6126 0.7051 0.000 0.600 0.400
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 1 0.6126 0.6933 0.600 0.000 0.400
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.0000 0.6824 1.000 0.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.6126 0.7051 0.000 0.600 0.400
#> 4877594A-03A8-4407-8F21-C133460DA44D 1 0.6126 0.6933 0.600 0.000 0.400
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0000 0.6824 1.000 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.5058 0.6897 0.756 0.000 0.244
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.6126 0.7051 0.000 0.600 0.400
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 3 0.6140 0.8223 0.000 0.404 0.596
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.6126 0.6933 0.600 0.000 0.400
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.0000 0.5191 0.000 1.000 0.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.6126 0.8259 0.000 0.400 0.600
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.6126 0.8259 0.000 0.400 0.600
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 0.0000 0.6824 1.000 0.000 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.6126 0.8259 0.000 0.400 0.600
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.2356 0.5782 0.000 0.928 0.072
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.6126 0.4055 0.400 0.600 0.000
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.6126 0.7051 0.000 0.600 0.400
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.0000 0.5191 0.000 1.000 0.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.6126 0.8259 0.000 0.400 0.600
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.6126 0.8259 0.000 0.400 0.600
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.0000 0.6824 1.000 0.000 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 1 0.4605 0.6889 0.796 0.000 0.204
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.6126 0.8259 0.000 0.400 0.600
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.6126 0.6933 0.600 0.000 0.400
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.6126 0.6933 0.600 0.000 0.400
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.0000 0.6824 1.000 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.6126 0.8259 0.000 0.400 0.600
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.6126 0.7051 0.000 0.600 0.400
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.0000 0.5191 0.000 1.000 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.6330 0.5008 0.396 0.004 0.600
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.6126 0.8259 0.000 0.400 0.600
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.1411 0.4569 0.000 0.964 0.036
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.6126 0.8259 0.000 0.400 0.600
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0000 0.6824 1.000 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.6126 0.6933 0.600 0.000 0.400
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 1 0.6126 0.6933 0.600 0.000 0.400
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.6126 0.4961 0.400 0.000 0.600
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.6126 0.8259 0.000 0.400 0.600
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.6126 0.8259 0.000 0.400 0.600
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 0.6291 -0.2422 0.532 0.000 0.468
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.6126 0.4961 0.400 0.000 0.600
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.6126 0.6933 0.600 0.000 0.400
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.6126 0.7051 0.000 0.600 0.400
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0000 0.6824 1.000 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.6126 0.6933 0.600 0.000 0.400
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.6045 0.6927 0.620 0.000 0.380
#> 85C38170-F2A0-4491-BFDB-38489204C015 3 0.9899 -0.4946 0.280 0.320 0.400
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.6126 0.6933 0.600 0.000 0.400
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.6126 0.6933 0.600 0.000 0.400
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.6126 0.6933 0.600 0.000 0.400
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.6126 0.7051 0.000 0.600 0.400
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.6126 0.8259 0.000 0.400 0.600
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.6126 0.6933 0.600 0.000 0.400
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.6126 0.8259 0.000 0.400 0.600
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.8130 0.5963 0.528 0.072 0.400
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.5560 0.2355 0.700 0.000 0.300
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.0000 0.5191 0.000 1.000 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.6126 0.8259 0.000 0.400 0.600
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.6126 0.8259 0.000 0.400 0.600
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.6126 0.6933 0.600 0.000 0.400
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.6126 0.8259 0.000 0.400 0.600
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.6126 0.7051 0.000 0.600 0.400
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.6305 -0.2797 0.516 0.000 0.484
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.0000 0.5191 0.000 1.000 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.6126 0.6933 0.600 0.000 0.400
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.6126 0.7051 0.000 0.600 0.400
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.6126 0.8259 0.000 0.400 0.600
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.6126 0.7051 0.000 0.600 0.400
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.0000 0.5191 0.000 1.000 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.0000 0.6824 1.000 0.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.6126 0.8259 0.000 0.400 0.600
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.6126 0.4961 0.400 0.000 0.600
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.6126 0.6933 0.600 0.000 0.400
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.6126 0.6933 0.600 0.000 0.400
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.6140 0.8223 0.000 0.404 0.596
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0000 0.6824 1.000 0.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.6126 0.8259 0.000 0.400 0.600
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.6126 0.6933 0.600 0.000 0.400
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.6126 0.7051 0.000 0.600 0.400
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0000 0.6824 1.000 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.6126 0.8259 0.000 0.400 0.600
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.0000 0.6824 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.8020 0.000 1.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.3907 0.7444 0.768 0.232 0.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 4 0.4436 0.7102 0.000 0.216 0.020 0.764
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.3801 0.7454 0.780 0.220 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.3764 0.6852 0.000 0.216 0.784 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.4134 0.7310 0.740 0.260 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.3266 0.7259 0.168 0.832 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.7014 1.000 0.000 0.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.4888 0.2996 0.000 0.412 0.588 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.3907 0.7444 0.768 0.232 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.3266 0.7259 0.168 0.832 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 3 0.4877 0.3105 0.000 0.408 0.592 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0921 0.7966 0.028 0.972 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0000 0.8020 0.000 1.000 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.4804 0.3331 0.000 0.616 0.000 0.384
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0000 0.8020 0.000 1.000 0.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.4843 0.5783 0.604 0.396 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0921 0.7966 0.028 0.972 0.000 0.000
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#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.0000 0.8020 0.000 1.000 0.000 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 4 0.3726 0.7081 0.000 0.000 0.212 0.788
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 4 0.3907 0.7488 0.232 0.000 0.000 0.768
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.3266 0.7259 0.168 0.832 0.000 0.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.3266 0.7259 0.168 0.832 0.000 0.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.0000 0.8020 0.000 1.000 0.000 0.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 2 0.3266 0.7259 0.168 0.832 0.000 0.000
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.4697 0.4040 0.000 0.644 0.000 0.356
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.0000 0.7014 1.000 0.000 0.000 0.000
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 4 0.2814 0.8128 0.000 0.132 0.000 0.868
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 4 0.4655 0.5603 0.004 0.312 0.000 0.684
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.0000 0.8020 0.000 1.000 0.000 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 1 0.5016 0.4022 0.600 0.004 0.396 0.000
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.3907 0.7444 0.768 0.232 0.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.0000 0.8020 0.000 1.000 0.000 0.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 4 0.4855 0.2919 0.400 0.000 0.000 0.600
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.3907 0.7444 0.768 0.232 0.000 0.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 4 0.3764 0.6816 0.000 0.216 0.000 0.784
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.3266 0.7259 0.168 0.832 0.000 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 1 0.1890 0.7190 0.936 0.056 0.008 0.000
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 1 0.4164 0.7281 0.736 0.264 0.000 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.4996 -0.0633 0.484 0.516 0.000 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.3266 0.7259 0.168 0.832 0.000 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.3266 0.7259 0.168 0.832 0.000 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.3942 0.6655 0.764 0.000 0.236 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.0000 0.8020 0.000 1.000 0.000 0.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.3907 0.7444 0.768 0.232 0.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.0000 0.8020 0.000 1.000 0.000 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.3907 0.7444 0.768 0.232 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.3873 0.5195 0.228 0.772 0.000 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.3266 0.7259 0.168 0.832 0.000 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 0.4888 0.5528 0.588 0.412 0.000 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.4972 0.4021 0.456 0.000 0.000 0.544
#> D7791F51-5151-4E21-802F-F61EE07D626F 4 0.4500 0.5469 0.000 0.316 0.000 0.684
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.4817 0.5900 0.612 0.388 0.000 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.4406 0.3417 0.300 0.700 0.000 0.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.3266 0.7259 0.168 0.832 0.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.3266 0.7259 0.168 0.832 0.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.4134 0.7310 0.740 0.260 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.3219 0.7373 0.164 0.000 0.836 0.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 4 0.4624 0.4873 0.000 0.000 0.340 0.660
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.3907 0.7444 0.768 0.232 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.3123 0.7343 0.156 0.844 0.000 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0000 0.8020 0.000 1.000 0.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.4855 0.3956 0.600 0.000 0.400 0.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 3 0.5372 0.1842 0.012 0.444 0.544 0.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.4855 0.3956 0.600 0.000 0.400 0.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.0000 0.8020 0.000 1.000 0.000 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.3907 0.7444 0.768 0.232 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0469 0.8003 0.012 0.988 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.3266 0.7259 0.168 0.832 0.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0817 0.7912 0.000 0.976 0.000 0.024
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0000 0.8020 0.000 1.000 0.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.3219 0.7287 0.164 0.836 0.000 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.8020 0.000 1.000 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.8020 0.000 1.000 0.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0000 0.8020 0.000 1.000 0.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.4832 0.7080 0.768 0.056 0.176 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0000 0.8020 0.000 1.000 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 3 0.6155 0.0530 0.412 0.052 0.536 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.8020 0.000 1.000 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.4855 -0.1355 0.600 0.400 0.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.4855 0.3956 0.600 0.000 0.400 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.3266 0.7259 0.168 0.832 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.1211 0.7930 0.040 0.960 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.1637 0.8768 0.000 0.000 0.940 0.060
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.3907 0.7444 0.768 0.232 0.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.3907 0.6442 0.232 0.768 0.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.0000 0.9132 0.000 0.000 0.000 1.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.3907 0.7444 0.768 0.232 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.9351 0.000 0.000 1.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.3975 0.7364 0.760 0.240 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.3876 0.4509 0.316 0.684 0.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 5 0.4210 0.6129 0.412 0.000 0.000 0.000 0.588
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.3749 0.6916 0.000 0.816 0.104 0.080 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.4425 0.6221 0.392 0.008 0.000 0.000 0.600
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.3395 0.6842 0.236 0.000 0.764 0.000 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0000 0.9034 0.000 0.000 0.000 1.000 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 5 0.5872 0.6029 0.168 0.232 0.000 0.000 0.600
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.0162 0.7702 0.996 0.004 0.000 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.0609 0.5683 0.000 0.020 0.000 0.000 0.980
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.0000 0.9034 0.000 0.000 0.000 1.000 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.5284 0.4170 0.068 0.324 0.608 0.000 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 5 0.4546 0.5340 0.460 0.008 0.000 0.000 0.532
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.0404 0.7731 0.988 0.012 0.000 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.4074 0.3567 0.636 0.000 0.364 0.000 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.3003 0.6863 0.812 0.188 0.000 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.3966 0.4096 0.336 0.664 0.000 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.2110 0.7641 0.016 0.912 0.000 0.072 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.0162 0.9347 0.004 0.000 0.996 0.000 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0609 0.7933 0.020 0.980 0.000 0.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 5 0.4425 0.4262 0.008 0.392 0.000 0.000 0.600
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.2773 0.7036 0.836 0.164 0.000 0.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0703 0.7925 0.024 0.976 0.000 0.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.0000 0.9034 0.000 0.000 0.000 1.000 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.2179 0.7339 0.888 0.112 0.000 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.0609 0.8890 0.000 0.020 0.000 0.980 0.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.1043 0.8699 0.000 0.000 0.000 0.960 0.040
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.3983 0.4605 0.660 0.340 0.000 0.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.3790 0.6354 0.272 0.004 0.000 0.000 0.724
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.4088 0.4041 0.632 0.368 0.000 0.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.0000 0.9034 0.000 0.000 0.000 1.000 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.2280 0.8343 0.120 0.000 0.880 0.000 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.2773 0.5007 0.000 0.020 0.112 0.000 0.868
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.0404 0.7731 0.988 0.012 0.000 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.0162 0.7680 0.996 0.000 0.004 0.000 0.000
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#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 1 0.4327 0.3695 0.632 0.008 0.360 0.000 0.000
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 3 0.0404 0.9284 0.000 0.000 0.988 0.012 0.000
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 3 0.0290 0.9321 0.008 0.000 0.992 0.000 0.000
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 1 0.4126 0.3779 0.620 0.380 0.000 0.000 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 4 0.0290 0.8970 0.000 0.000 0.008 0.992 0.000
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 4 0.4726 0.5151 0.000 0.020 0.000 0.580 0.400
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 1 0.0404 0.7731 0.988 0.012 0.000 0.000 0.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 1 0.0404 0.7731 0.988 0.012 0.000 0.000 0.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.0963 0.7877 0.036 0.964 0.000 0.000 0.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 1 0.0162 0.7702 0.996 0.004 0.000 0.000 0.000
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.5274 0.4570 0.064 0.600 0.000 0.336 0.000
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.0290 0.9321 0.008 0.000 0.992 0.000 0.000
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 5 0.0609 0.5683 0.000 0.020 0.000 0.000 0.980
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.4060 0.4048 0.000 0.640 0.000 0.360 0.000
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 3 0.2127 0.8471 0.108 0.000 0.892 0.000 0.000
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.0771 0.7882 0.004 0.976 0.000 0.020 0.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.1671 0.7656 0.076 0.924 0.000 0.000 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 4 0.0000 0.9034 0.000 0.000 0.000 1.000 0.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 5 0.6625 0.4638 0.012 0.236 0.224 0.000 0.528
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 5 0.4425 0.6221 0.392 0.008 0.000 0.000 0.600
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 1 0.3561 0.5954 0.740 0.260 0.000 0.000 0.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 4 0.4182 0.2570 0.000 0.000 0.000 0.600 0.400
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.3999 -0.0340 0.656 0.000 0.000 0.000 0.344
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.0000 0.9034 0.000 0.000 0.000 1.000 0.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 4 0.3274 0.6673 0.220 0.000 0.000 0.780 0.000
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 1 0.0404 0.7731 0.988 0.012 0.000 0.000 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 5 0.4901 0.6174 0.104 0.184 0.000 0.000 0.712
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 5 0.5720 0.5820 0.124 0.276 0.000 0.000 0.600
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.2929 0.5598 0.840 0.008 0.000 0.000 0.152
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 1 0.0510 0.7734 0.984 0.016 0.000 0.000 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 1 0.0510 0.7734 0.984 0.016 0.000 0.000 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 3 0.2813 0.7830 0.168 0.000 0.832 0.000 0.000
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 5 0.4812 0.6278 0.372 0.000 0.028 0.000 0.600
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.0000 0.9034 0.000 0.000 0.000 1.000 0.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.0609 0.7933 0.020 0.980 0.000 0.000 0.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 5 0.5274 0.6341 0.336 0.064 0.000 0.000 0.600
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.4304 0.0823 0.000 0.516 0.000 0.484 0.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.1043 0.7855 0.040 0.960 0.000 0.000 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 5 0.4321 0.6232 0.396 0.004 0.000 0.000 0.600
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.0671 0.7923 0.016 0.980 0.000 0.000 0.004
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.0000 0.9034 0.000 0.000 0.000 1.000 0.000
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.0404 0.7731 0.988 0.012 0.000 0.000 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.0000 0.9034 0.000 0.000 0.000 1.000 0.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.0162 0.9346 0.004 0.000 0.996 0.000 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 5 0.4559 0.2526 0.008 0.480 0.000 0.000 0.512
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.0000 0.9034 0.000 0.000 0.000 1.000 0.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.4752 0.4995 0.000 0.020 0.000 0.568 0.412
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.0807 0.7910 0.012 0.976 0.000 0.012 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 4 0.4283 0.1075 0.000 0.456 0.000 0.544 0.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 5 0.4436 0.4208 0.008 0.396 0.000 0.000 0.596
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.0671 0.7923 0.016 0.980 0.000 0.000 0.004
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.0510 0.7734 0.984 0.016 0.000 0.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.0162 0.7702 0.996 0.004 0.000 0.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 5 0.5678 0.5736 0.116 0.284 0.000 0.000 0.600
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.0000 0.9034 0.000 0.000 0.000 1.000 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.0000 0.9034 0.000 0.000 0.000 1.000 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 1 0.3607 0.4640 0.752 0.000 0.244 0.000 0.004
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 3 0.4300 0.0529 0.000 0.000 0.524 0.476 0.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 5 0.4425 0.6221 0.392 0.008 0.000 0.000 0.600
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.0290 0.7717 0.992 0.008 0.000 0.000 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0609 0.7933 0.020 0.980 0.000 0.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 5 0.4630 0.3508 0.016 0.000 0.396 0.000 0.588
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 3 0.6757 0.0592 0.324 0.004 0.440 0.000 0.232
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 5 0.4537 0.3506 0.012 0.000 0.396 0.000 0.592
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.4251 0.3291 0.372 0.624 0.000 0.000 0.004
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.0000 0.9034 0.000 0.000 0.000 1.000 0.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 5 0.4182 0.6232 0.400 0.000 0.000 0.000 0.600
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.2561 0.7168 0.856 0.144 0.000 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.0404 0.7731 0.988 0.012 0.000 0.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0609 0.7933 0.020 0.980 0.000 0.000 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.3857 0.4584 0.312 0.688 0.000 0.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.0290 0.7717 0.992 0.008 0.000 0.000 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.3774 0.4883 0.296 0.704 0.000 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.0000 0.9034 0.000 0.000 0.000 1.000 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0609 0.7933 0.020 0.980 0.000 0.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0609 0.7933 0.020 0.980 0.000 0.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 5 0.4675 0.6275 0.380 0.000 0.020 0.000 0.600
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.0000 0.9034 0.000 0.000 0.000 1.000 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.0404 0.9290 0.000 0.012 0.988 0.000 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.4287 0.1854 0.540 0.460 0.000 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.0000 0.9034 0.000 0.000 0.000 1.000 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.0703 0.7437 0.976 0.000 0.000 0.000 0.024
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0000 0.9034 0.000 0.000 0.000 1.000 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.3816 0.4735 0.304 0.696 0.000 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.0000 0.9034 0.000 0.000 0.000 1.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.0290 0.9321 0.008 0.000 0.992 0.000 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.0162 0.9008 0.000 0.004 0.000 0.996 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.0000 0.9034 0.000 0.000 0.000 1.000 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.4744 0.4239 0.572 0.020 0.000 0.000 0.408
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 5 0.4537 0.3506 0.012 0.000 0.396 0.000 0.592
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.0404 0.7731 0.988 0.012 0.000 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.1121 0.7653 0.956 0.044 0.000 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.1117 0.9119 0.000 0.016 0.964 0.020 0.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 5 0.4182 0.6232 0.400 0.000 0.000 0.000 0.600
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.3752 0.5989 0.000 0.708 0.000 0.000 0.292
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.4219 0.2810 0.000 0.584 0.000 0.416 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 5 0.4446 0.6151 0.400 0.008 0.000 0.000 0.592
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.9372 0.000 0.000 1.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.1908 0.6584 0.908 0.000 0.000 0.000 0.092
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.5233 0.2319 0.384 0.544 0.000 0.000 0.032 0.040
#> 27496AAB-AC06-4100-BB41-0029F63CC678 6 0.3050 0.7122 0.236 0.000 0.000 0.000 0.000 0.764
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.4435 0.6331 0.056 0.780 0.096 0.012 0.056 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 6 0.0547 0.7293 0.020 0.000 0.000 0.000 0.000 0.980
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.4972 0.4162 0.352 0.000 0.568 0.000 0.080 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0146 0.9086 0.004 0.000 0.996 0.000 0.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0146 0.9229 0.004 0.000 0.000 0.996 0.000 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 6 0.2730 0.6835 0.000 0.192 0.000 0.000 0.000 0.808
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.3487 0.7248 0.756 0.000 0.000 0.000 0.020 0.224
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0820 0.9045 0.012 0.000 0.972 0.000 0.016 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.2135 0.7711 0.000 0.000 0.000 0.000 0.872 0.128
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.2252 0.8688 0.020 0.028 0.000 0.908 0.044 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 1 0.7264 -0.0631 0.392 0.284 0.240 0.000 0.076 0.008
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0146 0.9086 0.004 0.000 0.996 0.000 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 6 0.1610 0.6738 0.084 0.000 0.000 0.000 0.000 0.916
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.3634 0.7300 0.696 0.008 0.000 0.000 0.000 0.296
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.3285 0.8160 0.116 0.000 0.820 0.000 0.064 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.3755 0.5147 0.804 0.000 0.104 0.000 0.076 0.016
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.4632 0.7319 0.712 0.052 0.000 0.000 0.032 0.204
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.5516 0.2619 0.348 0.552 0.000 0.000 0.032 0.068
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.1950 0.7537 0.016 0.924 0.000 0.028 0.032 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.2100 0.8450 0.112 0.000 0.884 0.000 0.000 0.004
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.2213 0.7413 0.044 0.904 0.000 0.000 0.048 0.004
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.9092 0.000 0.000 1.000 0.000 0.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 6 0.3509 0.6356 0.016 0.240 0.000 0.000 0.000 0.744
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.5259 0.7111 0.652 0.100 0.000 0.000 0.028 0.220
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0405 0.7553 0.008 0.988 0.000 0.000 0.000 0.004
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.0146 0.9229 0.004 0.000 0.000 0.996 0.000 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.4451 0.7302 0.680 0.072 0.000 0.000 0.000 0.248
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.3649 0.7744 0.020 0.136 0.000 0.804 0.040 0.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.0777 0.9053 0.004 0.000 0.000 0.972 0.000 0.024
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#> 8726867D-3708-4A20-9D68-04FF9D61CE27 6 0.0363 0.7369 0.012 0.000 0.000 0.000 0.000 0.988
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.1003 0.9022 0.016 0.000 0.964 0.000 0.020 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.3899 0.2544 0.004 0.592 0.000 0.000 0.404 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.4757 0.4653 0.020 0.660 0.000 0.272 0.048 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 6 0.0632 0.7267 0.024 0.000 0.000 0.000 0.000 0.976
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.9092 0.000 0.000 1.000 0.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.3515 0.4719 0.676 0.000 0.000 0.000 0.000 0.324
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 17395 rows and 473 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'SD' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 4.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.177 0.381 0.696 0.3974 0.502 0.502
#> 3 3 0.337 0.392 0.683 0.5445 0.689 0.476
#> 4 4 0.439 0.578 0.770 0.1770 0.691 0.353
#> 5 5 0.507 0.346 0.648 0.0683 0.864 0.581
#> 6 6 0.584 0.403 0.682 0.0447 0.842 0.466
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
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.7299 0.68752 0.796 0.204
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.7674 0.69633 0.776 0.224
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.9795 0.30523 0.416 0.584
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.1843 0.54409 0.972 0.028
#> 82DA87CF-C067-44B3-A372-ECB056337B08 1 0.9710 0.39258 0.600 0.400
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.7056 0.26483 0.192 0.808
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.5629 0.35681 0.132 0.868
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.53797 1.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.7674 0.69633 0.776 0.224
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.9552 0.11480 0.376 0.624
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.6531 0.35928 0.832 0.168
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.7883 0.34132 0.236 0.764
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 1 0.7602 0.69692 0.780 0.220
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.9552 0.11480 0.376 0.624
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0938 0.54013 0.988 0.012
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.7674 0.69633 0.776 0.224
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 1 0.8555 0.63071 0.720 0.280
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.7674 0.69633 0.776 0.224
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.7674 0.69633 0.776 0.224
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.7139 0.69231 0.804 0.196
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.9833 0.30948 0.424 0.576
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.9686 0.08675 0.396 0.604
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.9922 0.29477 0.448 0.552
#> 7194CC84-3897-4418-9695-66CC12CFE900 2 0.9552 0.11480 0.376 0.624
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0000 0.53797 1.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.9922 0.28138 0.448 0.552
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.9954 0.28499 0.460 0.540
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.5408 0.30018 0.124 0.876
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.9833 0.28026 0.576 0.424
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.7950 0.33277 0.240 0.760
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 1 0.9954 0.08280 0.540 0.460
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.9552 0.11480 0.376 0.624
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.9754 0.06583 0.408 0.592
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.8207 0.67494 0.744 0.256
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0000 0.53797 1.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.9933 0.28891 0.452 0.548
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.9552 0.11480 0.376 0.624
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 1 0.9977 0.30132 0.528 0.472
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.6801 0.34696 0.180 0.820
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.9552 0.11480 0.376 0.624
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 1 0.9710 0.39790 0.600 0.400
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 2 0.9933 -0.02722 0.452 0.548
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.7453 0.69622 0.788 0.212
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.8144 0.66901 0.748 0.252
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.7139 0.69231 0.804 0.196
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.1843 0.54409 0.972 0.028
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.9661 0.31676 0.392 0.608
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.7528 0.68384 0.784 0.216
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 1 0.8608 0.62057 0.716 0.284
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.7674 0.69633 0.776 0.224
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.9833 0.30836 0.424 0.576
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.9552 0.11375 0.376 0.624
#> FE2C169A-E41F-45EB-B61E-776493069D78 2 0.9170 0.14636 0.332 0.668
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.9552 0.11480 0.376 0.624
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.9491 0.12100 0.368 0.632
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.6623 0.31623 0.828 0.172
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.7950 0.65864 0.760 0.240
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.9732 0.31677 0.404 0.596
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 1 0.9896 0.29987 0.560 0.440
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.9815 0.00500 0.580 0.420
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.9661 0.40811 0.608 0.392
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.9710 0.31747 0.400 0.600
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.7674 0.69633 0.776 0.224
#> B40B9470-990D-4443-8484-17266E829557 2 0.9922 0.29477 0.448 0.552
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.1843 0.51369 0.972 0.028
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 2 0.9850 0.02784 0.428 0.572
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 1 0.9833 0.19652 0.576 0.424
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.9983 0.26626 0.476 0.524
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.9754 0.30909 0.408 0.592
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0000 0.53797 1.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.9686 0.41234 0.604 0.396
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.9977 0.27158 0.472 0.528
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.9833 0.30710 0.424 0.576
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 1 0.7528 0.69588 0.784 0.216
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 2 0.2778 0.35342 0.048 0.952
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.0000 0.53797 1.000 0.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.7674 0.69633 0.776 0.224
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 2 0.9580 0.10963 0.380 0.620
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.1843 0.51369 0.972 0.028
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.9866 0.30291 0.432 0.568
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.9922 0.29477 0.448 0.552
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.9909 0.29624 0.444 0.556
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 2 0.2778 0.35342 0.048 0.952
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 2 0.8327 0.34077 0.264 0.736
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 1 0.6438 0.36213 0.836 0.164
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.9963 0.18112 0.464 0.536
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 1 0.9323 0.46096 0.652 0.348
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0000 0.53797 1.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.4022 0.36076 0.080 0.920
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.7674 0.34810 0.224 0.776
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.9661 0.06336 0.392 0.608
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.9795 0.29930 0.416 0.584
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 2 0.9608 0.10406 0.384 0.616
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 2 0.9393 0.12058 0.356 0.644
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.7139 0.69231 0.804 0.196
#> 2C2589E0-2055-43AC-8001-1643839F80D4 2 0.9661 0.09294 0.392 0.608
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 2 0.9552 0.11480 0.376 0.624
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 1 0.8144 0.68304 0.748 0.252
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 1 0.7674 0.69633 0.776 0.224
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.9983 0.26626 0.476 0.524
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 2 0.1843 0.35348 0.028 0.972
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 1 0.8081 0.66332 0.752 0.248
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 1 0.7950 0.67914 0.760 0.240
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.9866 0.30291 0.432 0.568
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 1 0.9044 0.11636 0.680 0.320
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 1 0.9580 0.43577 0.620 0.380
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 2 0.9795 0.31321 0.416 0.584
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 1 0.9044 0.45046 0.680 0.320
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 1 0.0000 0.53797 1.000 0.000
#> A3AC663C-1578-4946-AED3-2FF9A739168E 2 0.9635 0.31864 0.388 0.612
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 1 0.7674 0.69633 0.776 0.224
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 2 0.9522 0.11732 0.372 0.628
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 2 0.9909 -0.00884 0.444 0.556
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 2 0.9710 0.09464 0.400 0.600
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 1 0.9944 0.02173 0.544 0.456
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 2 0.7815 0.23288 0.232 0.768
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 1 0.7674 0.69633 0.776 0.224
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 2 0.9686 0.31341 0.396 0.604
#> 5813BD59-3E38-4630-8735-F9F743F28160 2 0.9552 0.11480 0.376 0.624
#> 4ED692EB-E194-49D7-9222-6232051426E5 2 0.9909 0.29763 0.444 0.556
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 1 0.7674 0.69633 0.776 0.224
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 2 0.9522 0.11732 0.372 0.628
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 1 0.7139 0.69231 0.804 0.196
#> 64B33223-EB30-49ED-A3D8-5AC598845465 2 0.2603 0.35346 0.044 0.956
#> 21599029-B6C9-4385-B87C-FDB99F956118 2 0.1843 0.35348 0.028 0.972
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 2 0.9732 0.31677 0.404 0.596
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 2 0.9635 0.09630 0.388 0.612
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 1 0.7602 0.69689 0.780 0.220
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 2 0.9954 0.28517 0.460 0.540
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#> E7F262C2-69DE-4555-86B9-2151C7CF8A17 2 0.5737 0.35914 0.136 0.864
#> 10EC58F7-A6DC-4427-8FDE-D0AF12800DD6 2 0.9522 0.11732 0.372 0.628
#> 46D4C579-DE69-44A5-92B4-13329069FF45 2 0.9815 0.31096 0.420 0.580
#> 5FF6911C-D63C-4A6E-8E51-B116870FBE8C 1 0.0376 0.53878 0.996 0.004
#> 3BED1BB9-EC6D-4B6B-9B4B-268067DA1C21 2 0.9833 0.30954 0.424 0.576
#> C405814A-66E1-45E3-957D-0F32CFE30BFA 2 0.9686 0.08675 0.396 0.604
#> 799673ED-C935-4CE9-B8F3-14EE41C25BA1 1 0.0000 0.53797 1.000 0.000
#> 2A37A64F-C93B-42B6-95D5-744EEFD07FD1 1 0.9580 -0.11280 0.620 0.380
#> FA84E86B-3DB8-4A3F-817A-140DE7568611 2 0.9944 0.24223 0.456 0.544
#> D22F5C7C-3BAF-496A-8D3A-FB4D5F853E90 1 0.8081 0.68315 0.752 0.248
#> 3F76F946-07A9-4C0B-BA36-9524068D785B 2 0.9552 0.11480 0.376 0.624
#> 3977EBDA-AD30-4AA0-AC75-E33086DC533D 1 0.9983 -0.02007 0.524 0.476
#> 8D361255-E352-4248-9FDF-0A6602CB419D 1 0.7674 0.69545 0.776 0.224
#> 18AE7FAE-0B1E-4F52-BEC6-6158E61EB679 2 0.9686 0.31490 0.396 0.604
#> 5F005483-D289-4A3E-BD1E-0A4B3C655951 2 0.2043 0.35274 0.032 0.968
#> D3803F45-EB0C-4FAD-8C7B-F3755FBF496D 2 0.9552 0.11480 0.376 0.624
#> DF8D09B4-1F48-4D86-A379-1BB16E114CBE 1 0.9358 0.39538 0.648 0.352
#> 2A6CB7AD-79C2-4D43-8D97-61A4A6A79D3B 1 0.9323 0.36902 0.652 0.348
#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 2 0.9522 0.11732 0.372 0.628
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 1 0.7745 0.69323 0.772 0.228
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 1 0.7674 0.67228 0.776 0.224
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 2 0.9170 0.32983 0.332 0.668
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 2 0.9661 0.31600 0.392 0.608
#> 16D23472-C0CB-49F9-9139-77920C50235F 2 0.9954 0.26457 0.460 0.540
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 2 0.3274 0.35445 0.060 0.940
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.0000 0.53797 1.000 0.000
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 2 0.9922 0.29477 0.448 0.552
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.0000 0.53797 1.000 0.000
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 1 0.9795 0.43463 0.584 0.416
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 2 0.8144 0.33157 0.252 0.748
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 2 0.9833 0.30948 0.424 0.576
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 1 0.8955 0.55438 0.688 0.312
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 2 0.9732 0.31677 0.404 0.596
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 2 0.9775 0.05671 0.412 0.588
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 1 0.7674 0.69544 0.776 0.224
#> D14A535D-5C31-4D78-8F92-3B50922211A2 2 0.9866 0.01874 0.432 0.568
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.9922 0.29477 0.448 0.552
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 1 0.7674 0.69633 0.776 0.224
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 2 0.9460 0.12409 0.364 0.636
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 2 0.9710 0.08026 0.400 0.600
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 1 0.7139 0.69231 0.804 0.196
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 2 0.1843 0.35348 0.028 0.972
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 2 0.9815 0.30860 0.420 0.580
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 1 0.7219 0.69051 0.800 0.200
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 1 0.7674 0.69633 0.776 0.224
#> B2010F2F-71D4-4637-BD7A-794E99732E03 1 0.7674 0.67228 0.776 0.224
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 1 0.7815 0.69027 0.768 0.232
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.9954 0.26403 0.460 0.540
#> 212CB113-E765-4146-AC8A-B34044E2A849 1 0.9988 0.19655 0.520 0.480
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.9087 -0.08371 0.676 0.324
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.9775 0.30903 0.412 0.588
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.9896 -0.06205 0.440 0.560
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.9922 0.29477 0.448 0.552
#> 91C50649-EC31-4E49-8312-199C21A1F371 1 0.7602 0.69692 0.780 0.220
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.6247 0.28403 0.156 0.844
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 1 0.7950 0.67914 0.760 0.240
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.0000 0.53797 1.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.9988 0.25791 0.480 0.520
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 2 0.9795 0.31888 0.416 0.584
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.7674 0.69633 0.776 0.224
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.9686 0.31754 0.396 0.604
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 1 0.8763 0.63254 0.704 0.296
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 1 0.7674 0.69633 0.776 0.224
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 1 0.7453 0.69680 0.788 0.212
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 1 0.7139 0.69231 0.804 0.196
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 2 0.9552 0.11480 0.376 0.624
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 2 0.9427 0.11434 0.360 0.640
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.7139 0.69231 0.804 0.196
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 1 0.7674 0.69633 0.776 0.224
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 1 0.8861 0.58020 0.696 0.304
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 1 0.8909 0.58273 0.692 0.308
#> 560C9030-5EF4-466E-9149-BFB8215A512A 2 0.6148 0.29765 0.152 0.848
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.8861 0.13927 0.696 0.304
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.9710 0.31731 0.400 0.600
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.9933 0.29214 0.452 0.548
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.1843 0.54409 0.972 0.028
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.9686 0.31490 0.396 0.604
#> 4877594A-03A8-4407-8F21-C133460DA44D 1 0.7219 0.69033 0.800 0.200
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0000 0.53797 1.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.7745 0.66849 0.772 0.228
#> E336F811-7C92-438D-9929-EA40AA2932CB 1 0.7950 0.68102 0.760 0.240
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.9710 0.06258 0.400 0.600
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.7674 0.69633 0.776 0.224
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.5519 0.35930 0.128 0.872
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 2 0.9552 0.11480 0.376 0.624
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.9977 -0.08519 0.472 0.528
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.9983 0.26626 0.476 0.524
#> 62315297-B01F-4A7F-9C15-5B602099257F 2 0.2778 0.35342 0.048 0.952
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.9608 0.32030 0.384 0.616
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.9970 0.26641 0.468 0.532
#> D7791F51-5151-4E21-802F-F61EE07D626F 1 0.8267 0.63200 0.740 0.260
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.2043 0.35877 0.032 0.968
#> 1707CA8B-228E-49F9-B78A-A0171E853376 2 0.9608 0.10406 0.384 0.616
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 2 0.9552 0.11480 0.376 0.624
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.7674 0.67228 0.776 0.224
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 1 0.9491 0.36719 0.632 0.368
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 2 0.9552 0.11480 0.376 0.624
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.8081 0.68426 0.752 0.248
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.7674 0.69633 0.776 0.224
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.1843 0.51369 0.972 0.028
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 2 0.2778 0.35238 0.048 0.952
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.9635 0.31864 0.388 0.612
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.9635 0.31864 0.388 0.612
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.9983 -0.08764 0.476 0.524
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.9580 0.10960 0.380 0.620
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.8661 0.32526 0.288 0.712
#> E36F2243-58F5-41A0-A673-DEAFE0267426 2 0.9552 0.11480 0.376 0.624
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.1633 0.54335 0.976 0.024
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.7674 0.69633 0.776 0.224
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.9922 0.29477 0.448 0.552
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.9170 0.53501 0.668 0.332
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 2 0.2603 0.35346 0.044 0.956
#> E5D94733-7D43-4021-8F57-4426EF183682 2 0.9522 0.11732 0.372 0.628
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 0.7139 0.69231 0.804 0.196
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.7139 0.69231 0.804 0.196
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.9983 0.26626 0.476 0.524
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.9881 0.27453 0.436 0.564
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0000 0.53797 1.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.9954 0.20314 0.460 0.540
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.7139 0.69231 0.804 0.196
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.9896 0.29986 0.440 0.560
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.9983 0.26626 0.476 0.524
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.7674 0.69633 0.776 0.224
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.9977 0.26651 0.472 0.528
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 1 0.9954 0.17748 0.540 0.460
#> 0B400F91-2355-43AB-AA86-725C21352AB7 1 0.9427 0.45698 0.640 0.360
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.9922 0.29477 0.448 0.552
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.9522 0.11732 0.372 0.628
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.9944 0.28872 0.456 0.544
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0000 0.53797 1.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.9710 0.31249 0.400 0.600
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.9522 0.11732 0.372 0.628
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.1843 0.35647 0.028 0.972
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.7139 0.69231 0.804 0.196
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.1184 0.35450 0.016 0.984
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 1 0.9710 0.39393 0.600 0.400
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.7815 0.69009 0.768 0.232
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.2236 0.35904 0.036 0.964
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.9993 0.24879 0.484 0.516
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.9608 0.32030 0.384 0.616
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.9661 0.09294 0.392 0.608
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.9815 0.31096 0.420 0.580
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 1 0.8144 0.67997 0.748 0.252
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.7674 0.69633 0.776 0.224
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.9522 0.11732 0.372 0.628
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.9754 0.01564 0.592 0.408
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.7602 0.69689 0.780 0.220
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.7674 0.69633 0.776 0.224
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.9427 0.10332 0.360 0.640
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.7745 0.69323 0.772 0.228
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.8713 0.18258 0.292 0.708
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.9922 0.29477 0.448 0.552
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.9661 0.31676 0.392 0.608
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0000 0.53797 1.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.2603 0.35346 0.044 0.956
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.7815 0.69422 0.768 0.232
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.2486 6.32e-01 0.932 0.060 0.008
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.0000 6.34e-01 1.000 0.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.9228 7.31e-01 0.156 0.464 0.380
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.6045 4.72e-01 0.620 0.380 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 1 0.6764 3.96e-01 0.744 0.148 0.108
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.5678 4.83e-01 0.316 0.000 0.684
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.7523 -3.29e-01 0.080 0.260 0.660
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.6267 4.59e-01 0.548 0.452 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.3038 5.78e-01 0.896 0.104 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.6235 4.44e-01 0.436 0.000 0.564
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.6260 4.37e-01 0.552 0.448 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.8614 7.42e-01 0.100 0.484 0.416
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 1 0.1031 6.37e-01 0.976 0.024 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.6045 4.80e-01 0.380 0.000 0.620
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.6168 4.69e-01 0.588 0.412 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.0237 6.35e-01 0.996 0.004 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 1 0.2527 6.08e-01 0.936 0.020 0.044
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.0424 6.35e-01 0.992 0.008 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.3551 5.50e-01 0.868 0.132 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.2066 6.30e-01 0.940 0.060 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.6584 7.63e-01 0.012 0.608 0.380
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.6235 4.44e-01 0.436 0.000 0.564
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.8869 7.23e-01 0.124 0.496 0.380
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.6045 4.80e-01 0.380 0.000 0.620
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#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 3 0.4399 -9.99e-02 0.000 0.188 0.812
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 2 0.9195 6.73e-01 0.152 0.464 0.384
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 1 0.2301 6.32e-01 0.936 0.060 0.004
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 1 0.0237 6.35e-01 0.996 0.004 0.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 1 0.5678 4.23e-01 0.684 0.316 0.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 1 0.0237 6.35e-01 0.996 0.004 0.000
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 1 0.9377 -2.04e-01 0.448 0.172 0.380
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.6299 3.92e-01 0.476 0.000 0.524
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 2 0.6309 -4.23e-01 0.496 0.504 0.000
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.8283 7.71e-01 0.084 0.536 0.380
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 1 0.4551 5.67e-01 0.840 0.020 0.140
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.8710 7.37e-01 0.112 0.508 0.380
#> 91C50649-EC31-4E49-8312-199C21A1F371 1 0.1860 6.30e-01 0.948 0.052 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 3 0.7448 -3.99e-01 0.052 0.332 0.616
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 1 0.4346 5.56e-01 0.816 0.184 0.000
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.6235 4.66e-01 0.564 0.436 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 1 0.6887 4.78e-01 0.704 0.060 0.236
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 3 0.9901 -3.51e-01 0.336 0.272 0.392
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.0000 6.34e-01 1.000 0.000 0.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.7597 7.65e-01 0.048 0.568 0.384
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 1 0.7785 3.86e-01 0.672 0.192 0.136
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 1 0.0237 6.35e-01 0.996 0.004 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 1 0.2860 6.29e-01 0.912 0.084 0.004
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 1 0.1964 6.30e-01 0.944 0.056 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.6045 4.80e-01 0.380 0.000 0.620
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.6154 4.65e-01 0.408 0.000 0.592
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.1964 6.30e-01 0.944 0.056 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 1 0.0237 6.35e-01 0.996 0.004 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 1 0.2200 6.31e-01 0.940 0.004 0.056
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 1 0.1170 6.28e-01 0.976 0.008 0.016
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0747 2.65e-01 0.016 0.000 0.984
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 2 0.9857 -3.27e-01 0.368 0.380 0.252
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.7311 7.69e-01 0.036 0.580 0.384
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 3 0.9827 -5.81e-01 0.244 0.376 0.380
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.6735 4.51e-01 0.564 0.424 0.012
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.7685 7.62e-01 0.052 0.564 0.384
#> 4877594A-03A8-4407-8F21-C133460DA44D 1 0.2749 6.33e-01 0.924 0.064 0.012
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.6825 4.24e-01 0.500 0.488 0.012
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.5948 3.49e-01 0.640 0.360 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 1 0.4110 5.69e-01 0.844 0.152 0.004
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 1 0.9412 -2.62e-01 0.476 0.188 0.336
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.0237 6.35e-01 0.996 0.004 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 3 0.8341 -6.84e-01 0.080 0.452 0.468
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.6062 4.78e-01 0.384 0.000 0.616
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.6274 4.21e-01 0.456 0.000 0.544
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 0.8807 6.59e-02 0.504 0.120 0.376
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0237 2.41e-01 0.004 0.000 0.996
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.8775 7.34e-01 0.116 0.500 0.384
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 1 0.8592 1.75e-01 0.552 0.116 0.332
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.6267 -4.86e-05 0.452 0.548 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.7757 7.53e-01 0.052 0.540 0.408
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.6045 4.80e-01 0.380 0.000 0.620
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.6235 4.44e-01 0.436 0.000 0.564
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.4605 5.57e-01 0.796 0.204 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.6799 -7.12e-04 0.456 0.532 0.012
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.6045 4.80e-01 0.380 0.000 0.620
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.4605 4.89e-01 0.796 0.204 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.0424 6.35e-01 0.992 0.008 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 2 0.6701 -3.21e-01 0.412 0.576 0.012
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 2.39e-01 0.000 0.000 1.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.7932 7.63e-01 0.064 0.552 0.384
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.7685 7.62e-01 0.052 0.564 0.384
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 1 0.5431 1.96e-01 0.716 0.000 0.284
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.6062 4.78e-01 0.384 0.000 0.616
#> EFA48913-D0BD-4530-A445-C327A89CE956 3 0.8770 -3.10e-01 0.236 0.180 0.584
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.6045 4.80e-01 0.380 0.000 0.620
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.6095 4.72e-01 0.608 0.392 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.0424 6.35e-01 0.992 0.008 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 3 0.9956 -4.66e-01 0.312 0.308 0.380
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.1163 6.21e-01 0.972 0.000 0.028
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0747 2.18e-01 0.000 0.016 0.984
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.6045 4.80e-01 0.380 0.000 0.620
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 0.1964 6.30e-01 0.944 0.056 0.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.4281 5.97e-01 0.872 0.056 0.072
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.7839 1.81e-01 0.560 0.060 0.380
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 3 0.9936 -4.51e-01 0.336 0.284 0.380
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.6225 4.67e-01 0.568 0.432 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.9442 -2.38e-01 0.456 0.184 0.360
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.2066 6.32e-01 0.940 0.060 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.8215 7.52e-01 0.080 0.540 0.380
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.7839 1.81e-01 0.560 0.060 0.380
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.3752 5.37e-01 0.856 0.144 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.7756 1.59e-01 0.564 0.056 0.380
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.8330 2.38e-01 0.356 0.552 0.092
#> 0B400F91-2355-43AB-AA86-725C21352AB7 1 0.8825 -5.75e-02 0.532 0.132 0.336
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 3 0.9883 -5.46e-01 0.260 0.360 0.380
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.6045 4.80e-01 0.380 0.000 0.620
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.9620 6.27e-01 0.204 0.416 0.380
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.7974 4.32e-01 0.504 0.436 0.060
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.8827 7.54e-01 0.120 0.496 0.384
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.6045 4.80e-01 0.380 0.000 0.620
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.4544 8.69e-02 0.056 0.084 0.860
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.1964 6.30e-01 0.944 0.056 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0592 2.24e-01 0.000 0.012 0.988
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.7464 1.35e-01 0.400 0.560 0.040
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.0237 6.34e-01 0.996 0.000 0.004
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.7276 7.58e-01 0.032 0.564 0.404
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.7839 1.81e-01 0.560 0.060 0.380
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.7685 7.62e-01 0.052 0.564 0.384
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.6235 4.44e-01 0.436 0.000 0.564
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.6062 7.62e-01 0.000 0.616 0.384
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 1 0.3112 5.91e-01 0.900 0.096 0.004
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.0000 6.34e-01 1.000 0.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.6045 4.80e-01 0.380 0.000 0.620
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.8283 2.99e-01 0.084 0.380 0.536
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.0747 6.36e-01 0.984 0.016 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.0237 6.35e-01 0.996 0.004 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.9684 3.49e-01 0.352 0.220 0.428
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0592 6.34e-01 0.988 0.012 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.3267 4.00e-01 0.116 0.000 0.884
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 3 0.9914 -5.08e-01 0.272 0.348 0.380
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.7685 7.62e-01 0.052 0.564 0.384
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.6235 4.66e-01 0.564 0.436 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 2.39e-01 0.000 0.000 1.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.1163 6.32e-01 0.972 0.028 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.3157 0.66479 0.144 0.852 0.000 0.004
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.2530 0.65472 0.112 0.888 0.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 4 0.5613 0.60426 0.156 0.120 0.000 0.724
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.4999 -0.46432 0.492 0.508 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.5551 0.50348 0.036 0.740 0.192 0.032
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.83585 0.000 0.000 1.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.4507 0.58426 0.020 0.000 0.224 0.756
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.3945 0.67908 0.780 0.216 0.000 0.004
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.0000 0.68819 0.000 1.000 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.2814 0.76804 0.000 0.132 0.868 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.5102 0.53162 0.764 0.136 0.000 0.100
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.2156 0.69597 0.004 0.008 0.060 0.928
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.3528 0.62427 0.192 0.808 0.000 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.83585 0.000 0.000 1.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.4933 0.53146 0.568 0.432 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.2281 0.68747 0.096 0.904 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.3972 0.63798 0.080 0.840 0.080 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.2408 0.66175 0.104 0.896 0.000 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0336 0.68948 0.008 0.992 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.4406 0.56792 0.300 0.700 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.7568 0.39966 0.204 0.456 0.000 0.340
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.3852 0.71608 0.008 0.192 0.800 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.7203 0.46244 0.176 0.536 0.000 0.288
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.83585 0.000 0.000 1.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.3688 0.67741 0.792 0.208 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.4149 0.63661 0.036 0.812 0.000 0.152
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 4 0.5998 0.54881 0.240 0.092 0.000 0.668
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.5443 0.09073 0.004 0.008 0.456 0.532
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.2522 0.69043 0.016 0.908 0.000 0.076
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.3828 0.67221 0.084 0.068 0.000 0.848
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.7392 0.24022 0.168 0.372 0.000 0.460
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.83585 0.000 0.000 1.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.3356 0.73724 0.000 0.176 0.824 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.3760 0.64891 0.028 0.836 0.000 0.136
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.4543 0.63268 0.676 0.324 0.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.5330 0.61816 0.132 0.748 0.000 0.120
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0000 0.83585 0.000 0.000 1.000 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.7426 0.23226 0.040 0.356 0.076 0.528
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.2411 0.78638 0.040 0.040 0.920 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0000 0.83585 0.000 0.000 1.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 4 0.8860 0.35979 0.092 0.264 0.172 0.472
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 3 0.4134 0.62064 0.260 0.000 0.740 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.3726 0.62128 0.212 0.788 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.0188 0.68743 0.000 0.996 0.004 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.4605 0.58762 0.664 0.336 0.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.2921 0.60801 0.860 0.140 0.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.4632 0.32471 0.004 0.308 0.000 0.688
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.4994 0.62054 0.208 0.744 0.000 0.048
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#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 1 0.8017 0.43640 0.572 0.072 0.132 0.224
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.0336 0.68888 0.008 0.992 0.000 0.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.0188 0.69856 0.004 0.000 0.000 0.996
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.3970 0.66448 0.036 0.836 0.004 0.124
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.0000 0.68819 0.000 1.000 0.000 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 1 0.7078 0.39970 0.516 0.364 0.004 0.116
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.3688 0.61992 0.208 0.792 0.000 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0000 0.83585 0.000 0.000 1.000 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.1743 0.81242 0.004 0.056 0.940 0.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.3569 0.62434 0.196 0.804 0.000 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.0817 0.68862 0.024 0.976 0.000 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.1411 0.69497 0.020 0.960 0.000 0.020
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.2214 0.67755 0.028 0.928 0.044 0.000
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0000 0.83585 0.000 0.000 1.000 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.7106 0.27709 0.528 0.148 0.324 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.0188 0.69883 0.004 0.000 0.000 0.996
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.7252 0.47880 0.224 0.544 0.000 0.232
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.5910 0.64099 0.676 0.236 0.000 0.088
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 4 0.0188 0.69883 0.004 0.000 0.000 0.996
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.4722 0.56722 0.300 0.692 0.000 0.008
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.4843 0.64522 0.784 0.112 0.000 0.104
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.6672 0.54581 0.212 0.620 0.000 0.168
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.5010 0.51505 0.024 0.700 0.000 0.276
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 4 0.7091 0.43246 0.000 0.208 0.224 0.568
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.0000 0.68819 0.000 1.000 0.000 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.3612 0.64502 0.004 0.012 0.144 0.840
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0000 0.83585 0.000 0.000 1.000 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.3569 0.71648 0.000 0.196 0.804 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.7397 0.44012 0.292 0.508 0.000 0.200
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0000 0.83585 0.000 0.000 1.000 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.0376 0.69906 0.004 0.004 0.000 0.992
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.5910 0.60259 0.244 0.084 0.000 0.672
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.6790 0.53788 0.200 0.608 0.000 0.192
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 4 0.1697 0.70179 0.004 0.016 0.028 0.952
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.1389 0.81627 0.000 0.048 0.952 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.3569 0.72009 0.000 0.196 0.804 0.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.6595 0.42824 0.608 0.268 0.000 0.124
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.6709 0.54373 0.212 0.616 0.000 0.172
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0000 0.83585 0.000 0.000 1.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.0779 0.69048 0.004 0.980 0.000 0.016
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.2408 0.66175 0.104 0.896 0.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.4621 0.62397 0.796 0.076 0.000 0.128
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.83585 0.000 0.000 1.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.4843 -0.00218 0.000 0.396 0.000 0.604
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.0188 0.69856 0.004 0.000 0.000 0.996
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.4599 0.44036 0.016 0.736 0.248 0.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0000 0.83585 0.000 0.000 1.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 4 0.6787 0.58617 0.064 0.064 0.200 0.672
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.83585 0.000 0.000 1.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.4746 0.62627 0.632 0.368 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.2011 0.67340 0.080 0.920 0.000 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 4 0.6100 0.49188 0.304 0.072 0.000 0.624
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.7403 0.43594 0.452 0.380 0.168 0.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.2647 0.75660 0.000 0.000 0.880 0.120
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.83585 0.000 0.000 1.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.4500 0.54837 0.316 0.684 0.000 0.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.7449 0.10908 0.292 0.208 0.500 0.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.6362 0.51247 0.288 0.616 0.000 0.096
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.2644 0.69096 0.060 0.032 0.000 0.908
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.4008 0.67822 0.756 0.244 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.4290 0.63347 0.036 0.800 0.000 0.164
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.4814 0.52971 0.316 0.676 0.000 0.008
#> 85C38170-F2A0-4491-BFDB-38489204C015 4 0.6323 0.52884 0.164 0.176 0.000 0.660
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.5615 0.61351 0.188 0.716 0.000 0.096
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.0000 0.68819 0.000 1.000 0.000 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.5132 0.61661 0.068 0.748 0.000 0.184
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.5161 -0.20632 0.004 0.476 0.000 0.520
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.8372 0.27694 0.244 0.156 0.528 0.072
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.7402 0.44793 0.220 0.516 0.000 0.264
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.83585 0.000 0.000 1.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 4 0.6233 0.55216 0.124 0.216 0.000 0.660
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.4898 0.65851 0.780 0.116 0.104 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.1661 0.69653 0.004 0.052 0.000 0.944
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.83585 0.000 0.000 1.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.5842 0.07543 0.000 0.032 0.520 0.448
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.4164 0.58756 0.264 0.736 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0469 0.83027 0.000 0.000 0.988 0.012
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.4989 -0.15872 0.000 0.472 0.000 0.528
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.3552 0.63340 0.128 0.848 0.024 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0188 0.69856 0.004 0.000 0.000 0.996
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.4920 0.62802 0.088 0.776 0.000 0.136
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.0000 0.69871 0.000 0.000 0.000 1.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.3764 0.70169 0.000 0.216 0.784 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.0188 0.69883 0.004 0.000 0.000 0.996
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.6717 0.35170 0.108 0.332 0.000 0.560
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.2973 0.63780 0.144 0.856 0.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0188 0.83453 0.004 0.000 0.996 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.5915 0.29322 0.400 0.040 0.560 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.1557 0.69526 0.056 0.944 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0469 0.68984 0.012 0.988 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.9585 -0.18555 0.208 0.136 0.340 0.316
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.5137 0.48315 0.544 0.452 0.000 0.004
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0000 0.83585 0.000 0.000 1.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 4 0.6310 0.54278 0.352 0.072 0.000 0.576
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.2773 0.67885 0.004 0.116 0.000 0.880
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.4304 0.65463 0.716 0.284 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.83585 0.000 0.000 1.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.0188 0.68919 0.000 0.996 0.000 0.004
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.3880 0.60261 0.020 0.772 0.000 0.204 0.004
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.5381 0.46616 0.272 0.656 0.000 0.048 0.024
#> 3BBC7540-136B-47C8-9C09-CD423685B742 4 0.2424 0.28355 0.000 0.132 0.000 0.868 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.6547 -0.06375 0.232 0.472 0.000 0.000 0.296
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.7417 0.29075 0.264 0.512 0.168 0.032 0.024
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 1 0.6306 0.14276 0.500 0.000 0.172 0.328 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 4 0.8170 -0.23073 0.232 0.112 0.000 0.340 0.316
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.3508 0.48945 0.252 0.748 0.000 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.3336 0.64163 0.228 0.000 0.772 0.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.1285 0.48608 0.004 0.004 0.000 0.036 0.956
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.5640 0.14408 0.296 0.012 0.076 0.616 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.7209 0.41364 0.268 0.432 0.000 0.276 0.024
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.7799 -0.11586 0.232 0.400 0.000 0.072 0.296
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.5993 0.49603 0.264 0.616 0.000 0.096 0.024
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.6406 0.44309 0.264 0.616 0.048 0.048 0.024
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.3246 0.61896 0.020 0.860 0.000 0.096 0.024
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0000 0.60995 0.000 1.000 0.000 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.5454 0.54206 0.036 0.608 0.000 0.332 0.024
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.5793 0.43777 0.100 0.536 0.000 0.364 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.5463 0.53733 0.248 0.100 0.648 0.004 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.4287 0.46592 0.000 0.540 0.000 0.460 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 4 0.8172 -0.22252 0.232 0.116 0.000 0.364 0.288
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.2331 0.61979 0.024 0.908 0.000 0.064 0.004
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 4 0.2099 0.30840 0.024 0.024 0.000 0.928 0.024
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 1 0.6215 0.24921 0.520 0.004 0.340 0.136 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.1372 0.60504 0.024 0.956 0.000 0.016 0.004
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.3495 0.27857 0.160 0.028 0.000 0.812 0.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.7223 -0.06909 0.240 0.324 0.000 0.412 0.024
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.5032 0.58343 0.220 0.092 0.688 0.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.3538 0.59682 0.016 0.804 0.000 0.176 0.004
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.8513 0.19180 0.236 0.284 0.000 0.184 0.296
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.3575 0.60520 0.016 0.800 0.000 0.180 0.004
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 1 0.5673 0.22133 0.628 0.216 0.000 0.156 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.2170 0.72325 0.020 0.036 0.924 0.000 0.020
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 1 0.8642 0.18414 0.368 0.248 0.108 0.252 0.024
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.5112 0.35193 0.028 0.000 0.260 0.032 0.680
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.6417 0.51904 0.204 0.592 0.000 0.180 0.024
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.3508 0.48945 0.252 0.748 0.000 0.000 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.7408 -0.16766 0.468 0.180 0.000 0.292 0.060
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.5781 0.41880 0.228 0.096 0.000 0.024 0.652
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.6647 -0.18735 0.388 0.388 0.000 0.224 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.4425 0.52491 0.008 0.600 0.000 0.392 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.4448 0.06920 0.480 0.516 0.000 0.004 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.3191 0.60660 0.092 0.864 0.000 0.020 0.024
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.3231 0.27072 0.196 0.004 0.000 0.800 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.4247 0.64101 0.132 0.092 0.776 0.000 0.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 1 0.6262 0.17896 0.500 0.000 0.360 0.004 0.136
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.4026 0.61466 0.244 0.020 0.736 0.000 0.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.2848 0.46527 0.156 0.004 0.000 0.000 0.840
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.4425 0.46856 0.004 0.544 0.000 0.452 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.4300 0.08510 0.476 0.000 0.000 0.524 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 3 0.7380 0.31314 0.084 0.260 0.520 0.132 0.004
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#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 4 0.3846 0.27611 0.056 0.144 0.000 0.800 0.000
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 4 0.9081 -0.18600 0.240 0.212 0.244 0.280 0.024
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 4 0.0609 0.32076 0.000 0.020 0.000 0.980 0.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.4146 0.60565 0.020 0.780 0.000 0.176 0.024
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 4 0.6600 -0.09657 0.408 0.004 0.180 0.408 0.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 4 0.5891 0.06185 0.272 0.084 0.000 0.620 0.024
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 5 0.8556 0.23574 0.236 0.204 0.000 0.264 0.296
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.3398 0.60575 0.004 0.780 0.000 0.216 0.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 4 0.5551 0.17150 0.088 0.016 0.172 0.708 0.016
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.3797 0.52037 0.232 0.756 0.000 0.008 0.004
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.4300 0.07996 0.476 0.000 0.000 0.524 0.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.2170 0.59408 0.088 0.904 0.004 0.004 0.000
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.3508 0.48945 0.252 0.748 0.000 0.000 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 4 0.7538 -0.27107 0.272 0.268 0.004 0.420 0.036
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.6717 0.43706 0.256 0.408 0.000 0.336 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.2361 0.72705 0.096 0.012 0.892 0.000 0.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.6714 0.48481 0.220 0.448 0.000 0.328 0.004
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.2171 0.60803 0.064 0.912 0.000 0.000 0.024
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.0727 0.60992 0.012 0.980 0.000 0.004 0.004
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.5046 0.47937 0.272 0.680 0.012 0.012 0.024
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 5 0.8673 0.09246 0.220 0.208 0.268 0.004 0.300
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.4161 0.15971 0.392 0.000 0.000 0.608 0.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.4586 0.46063 0.004 0.524 0.000 0.468 0.004
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 5 0.8443 0.21943 0.236 0.164 0.000 0.284 0.316
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 4 0.4074 0.17689 0.364 0.000 0.000 0.636 0.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.5350 0.52486 0.024 0.584 0.000 0.368 0.024
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 4 0.7521 -0.20635 0.240 0.044 0.000 0.400 0.316
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 4 0.4451 -0.43628 0.004 0.492 0.000 0.504 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 1 0.3980 0.17975 0.708 0.284 0.000 0.008 0.000
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 1 0.7884 0.23339 0.464 0.144 0.164 0.228 0.000
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.2286 0.59020 0.108 0.888 0.000 0.000 0.004
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 1 0.6633 0.14031 0.484 0.012 0.164 0.340 0.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.5936 0.53312 0.252 0.044 0.636 0.068 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.5631 0.46450 0.032 0.504 0.000 0.440 0.024
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.4307 0.06221 0.500 0.000 0.000 0.500 0.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.7457 0.07611 0.272 0.060 0.000 0.468 0.200
#> D7791F51-5151-4E21-802F-F61EE07D626F 4 0.6351 -0.35669 0.184 0.316 0.000 0.500 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 4 0.5756 0.16698 0.276 0.056 0.036 0.632 0.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.1410 0.74881 0.060 0.000 0.940 0.000 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.5191 0.54888 0.252 0.088 0.660 0.000 0.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 4 0.7190 -0.28439 0.276 0.212 0.000 0.476 0.036
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.4452 0.43256 0.004 0.500 0.000 0.496 0.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.1267 0.60450 0.024 0.960 0.000 0.012 0.004
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.5078 0.46325 0.268 0.676 0.000 0.032 0.024
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 4 0.6848 -0.17996 0.232 0.008 0.000 0.444 0.316
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.5818 -0.03027 0.444 0.464 0.000 0.092 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.4302 0.08101 0.480 0.000 0.000 0.520 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.6468 0.30700 0.252 0.560 0.172 0.016 0.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 4 0.7346 0.03772 0.156 0.108 0.196 0.540 0.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 2 0.8330 -0.18657 0.232 0.332 0.000 0.140 0.296
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.3728 0.56338 0.164 0.804 0.000 0.008 0.024
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 4 0.1780 0.31088 0.028 0.008 0.000 0.940 0.024
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.8865 0.03096 0.272 0.320 0.268 0.104 0.036
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.3336 0.55618 0.000 0.000 0.772 0.228 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.7233 0.42907 0.232 0.376 0.000 0.368 0.024
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 4 0.8110 -0.06677 0.248 0.044 0.320 0.364 0.024
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.5322 0.54556 0.028 0.612 0.000 0.336 0.024
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.5209 0.16263 0.368 0.036 0.000 0.588 0.008
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 5 0.8486 0.21416 0.232 0.180 0.000 0.272 0.316
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.1671 0.62057 0.000 0.924 0.000 0.076 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 4 0.7324 -0.39833 0.276 0.332 0.000 0.368 0.024
#> 85C38170-F2A0-4491-BFDB-38489204C015 4 0.1908 0.29065 0.000 0.092 0.000 0.908 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.4271 0.61117 0.024 0.772 0.000 0.180 0.024
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.3783 0.49159 0.252 0.740 0.000 0.008 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.3993 0.62304 0.020 0.796 0.000 0.160 0.024
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 1 0.5346 0.05252 0.496 0.452 0.000 0.052 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.8057 0.05513 0.268 0.048 0.348 0.320 0.016
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 4 0.4452 -0.43866 0.004 0.496 0.000 0.500 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 4 0.3318 0.25561 0.008 0.192 0.000 0.800 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 5 0.9011 0.23602 0.232 0.076 0.072 0.304 0.316
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.3928 0.21209 0.296 0.004 0.000 0.700 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.6349 0.08919 0.112 0.016 0.512 0.360 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.4938 0.57938 0.028 0.680 0.000 0.272 0.020
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0162 0.76989 0.000 0.000 0.996 0.004 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 1 0.6124 0.10677 0.460 0.412 0.000 0.128 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.6350 0.41643 0.256 0.580 0.020 0.144 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.4307 0.06372 0.496 0.000 0.000 0.504 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.2891 0.61754 0.000 0.824 0.000 0.176 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.4219 0.14065 0.416 0.000 0.000 0.584 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.6014 0.45914 0.252 0.172 0.576 0.000 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.4088 0.17370 0.368 0.000 0.000 0.632 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 1 0.5648 0.22496 0.660 0.092 0.000 0.228 0.020
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.5610 0.46415 0.252 0.656 0.000 0.032 0.060
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.1197 0.74469 0.048 0.000 0.952 0.000 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.6838 0.32806 0.144 0.044 0.544 0.000 0.268
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.2844 0.62742 0.040 0.892 0.000 0.044 0.024
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.1518 0.62370 0.004 0.944 0.000 0.048 0.004
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 4 0.6854 -0.06339 0.240 0.012 0.272 0.476 0.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.7038 -0.15296 0.472 0.340 0.000 0.148 0.040
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 4 0.5299 0.07420 0.024 0.016 0.000 0.540 0.420
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.5594 0.18087 0.232 0.136 0.000 0.632 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 4 0.8476 -0.27654 0.236 0.172 0.000 0.296 0.296
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.77207 0.000 0.000 1.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.3920 0.48834 0.268 0.724 0.000 0.004 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.2383 0.53804 0.880 0.096 0.000 0.000 0.000 0.024
#> 27496AAB-AC06-4100-BB41-0029F63CC678 6 0.3547 0.14567 0.332 0.000 0.000 0.000 0.000 0.668
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.3388 0.51924 0.036 0.792 0.000 0.000 0.000 0.172
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.7411 -0.07724 0.384 0.060 0.000 0.240 0.024 0.292
#> 82DA87CF-C067-44B3-A372-ECB056337B08 6 0.5338 0.12608 0.332 0.048 0.040 0.000 0.000 0.580
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.77927 0.000 0.000 1.000 0.000 0.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.3977 0.67111 0.000 0.096 0.144 0.760 0.000 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 6 0.5946 0.31247 0.016 0.124 0.000 0.240 0.024 0.596
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.3993 0.15839 0.520 0.004 0.000 0.000 0.000 0.476
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.2631 0.69844 0.000 0.000 0.820 0.000 0.000 0.180
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.0547 0.85833 0.000 0.000 0.000 0.000 0.980 0.020
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.3534 0.43405 0.000 0.772 0.004 0.200 0.000 0.024
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 6 0.4645 0.17748 0.276 0.076 0.000 0.000 0.000 0.648
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.77927 0.000 0.000 1.000 0.000 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.7404 -0.07685 0.388 0.060 0.000 0.240 0.024 0.288
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 6 0.4624 -0.05237 0.432 0.040 0.000 0.000 0.000 0.528
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 6 0.3940 0.10983 0.336 0.008 0.004 0.000 0.000 0.652
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.3828 0.32825 0.560 0.000 0.000 0.000 0.000 0.440
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.2854 0.51354 0.792 0.000 0.000 0.000 0.000 0.208
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.5903 0.28416 0.460 0.228 0.000 0.000 0.000 0.312
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.4537 -0.12731 0.484 0.488 0.000 0.024 0.000 0.004
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.3816 0.58830 0.016 0.000 0.688 0.000 0.000 0.296
#> C42C8456-82F9-433C-82BA-F1284CDC425C 1 0.4037 0.36994 0.608 0.380 0.000 0.000 0.000 0.012
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.77927 0.000 0.000 1.000 0.000 0.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 6 0.6466 0.30327 0.048 0.132 0.000 0.240 0.020 0.560
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.0520 0.52450 0.984 0.008 0.000 0.000 0.000 0.008
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.4002 0.20029 0.008 0.588 0.000 0.000 0.000 0.404
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.3996 0.64432 0.000 0.012 0.180 0.760 0.000 0.048
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.0603 0.52491 0.980 0.004 0.000 0.000 0.000 0.016
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.2426 0.53199 0.012 0.884 0.000 0.092 0.000 0.012
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 6 0.4097 0.28981 0.016 0.284 0.000 0.012 0.000 0.688
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.77927 0.000 0.000 1.000 0.000 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.3782 0.39905 0.000 0.000 0.588 0.000 0.000 0.412
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.2218 0.52953 0.884 0.104 0.000 0.000 0.000 0.012
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.7490 -0.08115 0.376 0.068 0.000 0.240 0.024 0.292
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.1082 0.53345 0.956 0.040 0.000 0.000 0.000 0.004
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0000 0.77927 0.000 0.000 1.000 0.000 0.000 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.4268 0.58855 0.084 0.016 0.000 0.756 0.000 0.144
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.3175 0.51546 0.000 0.000 0.744 0.000 0.000 0.256
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0000 0.77927 0.000 0.000 1.000 0.000 0.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 6 0.4152 0.30904 0.028 0.268 0.000 0.008 0.000 0.696
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.0632 0.85798 0.000 0.000 0.000 0.000 0.976 0.024
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 6 0.4703 0.02787 0.380 0.052 0.000 0.000 0.000 0.568
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#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.77927 0.000 0.000 1.000 0.000 0.000 0.000
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#> D35E3701-AF4E-4345-B4FE-BBB69802D389 6 0.3868 -0.19065 0.492 0.000 0.000 0.000 0.000 0.508
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.3098 0.51978 0.024 0.812 0.000 0.000 0.000 0.164
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#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.77927 0.000 0.000 1.000 0.000 0.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 6 0.5248 0.07526 0.304 0.124 0.000 0.000 0.000 0.572
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#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.5059 0.32412 0.528 0.080 0.000 0.000 0.000 0.392
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#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.3657 0.53082 0.792 0.108 0.000 0.000 0.000 0.100
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 6 0.4749 0.18100 0.260 0.092 0.000 0.000 0.000 0.648
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.2212 0.53686 0.112 0.880 0.000 0.000 0.000 0.008
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.4798 0.41915 0.612 0.076 0.000 0.000 0.000 0.312
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.4328 0.16939 0.520 0.020 0.000 0.000 0.000 0.460
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.4214 0.46341 0.680 0.044 0.000 0.000 0.000 0.276
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.3431 0.52223 0.228 0.016 0.000 0.756 0.000 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.5814 0.23965 0.004 0.164 0.468 0.000 0.000 0.364
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.4262 -0.13225 0.476 0.508 0.000 0.000 0.000 0.016
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.77927 0.000 0.000 1.000 0.000 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.3806 0.52405 0.076 0.772 0.000 0.000 0.000 0.152
#> F4142833-0749-44A4-B769-66262AA4A484 6 0.5771 0.31380 0.008 0.124 0.000 0.240 0.024 0.604
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.2896 0.48033 0.000 0.824 0.000 0.160 0.000 0.016
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.77927 0.000 0.000 1.000 0.000 0.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.6116 0.34840 0.000 0.292 0.540 0.052 0.000 0.116
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.4249 0.45768 0.688 0.052 0.000 0.000 0.000 0.260
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0146 0.77740 0.000 0.004 0.996 0.000 0.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.6307 0.16478 0.288 0.228 0.000 0.464 0.000 0.020
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 6 0.4713 0.03605 0.400 0.028 0.012 0.000 0.000 0.560
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.3126 0.62284 0.000 0.248 0.000 0.752 0.000 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.3254 0.53614 0.820 0.056 0.000 0.000 0.000 0.124
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.3584 0.29023 0.004 0.688 0.000 0.308 0.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.3953 0.55290 0.016 0.000 0.656 0.000 0.000 0.328
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.2664 0.45781 0.000 0.816 0.000 0.184 0.000 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.4076 0.34684 0.012 0.000 0.000 0.592 0.000 0.396
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 6 0.4310 0.01226 0.440 0.000 0.000 0.000 0.020 0.540
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.3023 0.53981 0.000 0.000 0.768 0.232 0.000 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.6329 0.36082 0.000 0.012 0.528 0.232 0.020 0.208
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.3163 0.52938 0.820 0.040 0.000 0.000 0.000 0.140
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.2823 0.51574 0.796 0.000 0.000 0.000 0.000 0.204
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.6800 0.06511 0.044 0.352 0.356 0.000 0.000 0.248
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 6 0.2095 0.38681 0.076 0.016 0.000 0.000 0.004 0.904
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0000 0.77927 0.000 0.000 1.000 0.000 0.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.6463 0.20062 0.040 0.448 0.000 0.000 0.340 0.172
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.3361 0.50918 0.076 0.816 0.000 0.108 0.000 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.7787 -0.08839 0.352 0.108 0.000 0.240 0.024 0.276
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.77927 0.000 0.000 1.000 0.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.3547 0.24190 0.668 0.000 0.000 0.000 0.000 0.332
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 17395 rows and 473 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 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 0.231 0.684 0.819 0.4102 0.586 0.586
#> 3 3 0.214 0.439 0.698 0.4410 0.628 0.455
#> 4 4 0.649 0.778 0.891 0.1420 0.697 0.412
#> 5 5 0.590 0.673 0.779 0.1116 0.911 0.730
#> 6 6 0.624 0.525 0.736 0.0568 0.920 0.711
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
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.9286 0.34613 0.344 0.656
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.9170 0.77517 0.668 0.332
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0000 0.80600 0.000 1.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.2423 0.71762 0.960 0.040
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0938 0.80438 0.012 0.988
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.0000 0.80600 0.000 1.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.5946 0.75449 0.144 0.856
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.8207 0.80725 0.744 0.256
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.8443 0.49910 0.272 0.728
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.0376 0.80558 0.004 0.996
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.69100 1.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.1633 0.80488 0.024 0.976
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.2423 0.79366 0.040 0.960
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.0000 0.80600 0.000 1.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.6887 0.80815 0.816 0.184
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.9896 -0.09684 0.440 0.560
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.5842 0.68474 0.140 0.860
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.4022 0.77037 0.080 0.920
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.8661 0.45997 0.288 0.712
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.9732 0.12934 0.404 0.596
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.2948 0.79898 0.052 0.948
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.9996 -0.45307 0.488 0.512
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.9087 0.35362 0.324 0.676
#> 7194CC84-3897-4418-9695-66CC12CFE900 2 0.8267 0.38399 0.260 0.740
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.7299 0.81336 0.796 0.204
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.9608 0.29966 0.384 0.616
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.4562 0.75926 0.096 0.904
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.5946 0.75449 0.144 0.856
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.9248 0.41176 0.340 0.660
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.0376 0.80621 0.004 0.996
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.6247 0.76101 0.156 0.844
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.0000 0.80600 0.000 1.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.0376 0.80558 0.004 0.996
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.9393 0.36147 0.356 0.644
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.2423 0.71762 0.960 0.040
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.9427 0.33224 0.360 0.640
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.0000 0.80600 0.000 1.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.5842 0.75706 0.140 0.860
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.0000 0.80600 0.000 1.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.0000 0.80600 0.000 1.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.0000 0.80600 0.000 1.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.3879 0.68525 0.924 0.076
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.9129 0.36278 0.328 0.672
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.4298 0.76536 0.088 0.912
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.7376 0.81428 0.792 0.208
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.4022 0.72743 0.920 0.080
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.3733 0.79300 0.072 0.928
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.7376 0.65375 0.208 0.792
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.5629 0.76213 0.132 0.868
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.5629 0.73171 0.132 0.868
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.5946 0.75449 0.144 0.856
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.4431 0.77387 0.092 0.908
#> FE2C169A-E41F-45EB-B61E-776493069D78 2 0.5946 0.75449 0.144 0.856
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.0376 0.80558 0.004 0.996
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.0000 0.80600 0.000 1.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0000 0.69100 1.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.8443 0.80548 0.728 0.272
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.5946 0.75449 0.144 0.856
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.1633 0.80021 0.024 0.976
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.9491 0.73436 0.632 0.368
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.9286 0.75891 0.656 0.344
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.5946 0.75449 0.144 0.856
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.0000 0.69100 1.000 0.000
#> B40B9470-990D-4443-8484-17266E829557 2 0.9909 0.33775 0.444 0.556
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.7376 0.81255 0.792 0.208
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 1 0.9580 0.73184 0.620 0.380
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.2948 0.78771 0.052 0.948
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 1 0.9608 0.70340 0.616 0.384
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.2423 0.80105 0.040 0.960
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.8555 0.80491 0.720 0.280
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.9044 0.78547 0.680 0.320
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.8144 0.60305 0.252 0.748
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.9552 0.51147 0.376 0.624
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.7674 0.68256 0.224 0.776
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 2 0.0000 0.80600 0.000 1.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.2423 0.71762 0.960 0.040
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.9393 0.37334 0.644 0.356
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 2 0.8081 0.42732 0.248 0.752
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.6887 0.80815 0.816 0.184
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.6247 0.73418 0.156 0.844
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.6247 0.72217 0.156 0.844
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.9661 0.45747 0.392 0.608
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 2 0.0000 0.80600 0.000 1.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 2 0.5946 0.75449 0.144 0.856
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 2 0.9996 -0.14104 0.488 0.512
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.5946 0.75449 0.144 0.856
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 2 0.5842 0.75688 0.140 0.860
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0000 0.69100 1.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.5946 0.75449 0.144 0.856
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.5946 0.75449 0.144 0.856
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.2948 0.79088 0.052 0.948
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.9393 0.24839 0.356 0.644
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 2 0.0000 0.80600 0.000 1.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 2 0.2948 0.79088 0.052 0.948
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.9129 0.77742 0.672 0.328
#> 2C2589E0-2055-43AC-8001-1643839F80D4 2 0.3431 0.78203 0.064 0.936
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 2 0.0000 0.80600 0.000 1.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 1 0.8207 0.80666 0.744 0.256
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 1 0.9170 0.77517 0.668 0.332
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.0000 0.80600 0.000 1.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 2 0.5946 0.75449 0.144 0.856
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.8327 0.55546 0.264 0.736
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 1 0.5178 0.77083 0.884 0.116
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.5059 0.76403 0.112 0.888
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 1 0.5519 0.71994 0.872 0.128
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 2 0.9661 -0.02768 0.392 0.608
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 2 0.5946 0.75449 0.144 0.856
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 2 0.8955 0.40533 0.312 0.688
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 1 0.7056 0.81063 0.808 0.192
#> A3AC663C-1578-4946-AED3-2FF9A739168E 2 0.5946 0.75449 0.144 0.856
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 1 0.9635 0.72015 0.612 0.388
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 2 0.7528 0.63188 0.216 0.784
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 1 0.9248 0.75980 0.660 0.340
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 2 0.0376 0.80558 0.004 0.996
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 2 0.9491 0.49991 0.368 0.632
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 2 0.1633 0.80041 0.024 0.976
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 2 0.5842 0.72010 0.140 0.860
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 2 0.5946 0.75449 0.144 0.856
#> 5813BD59-3E38-4630-8735-F9F743F28160 2 0.0000 0.80600 0.000 1.000
#> 4ED692EB-E194-49D7-9222-6232051426E5 2 0.2236 0.80202 0.036 0.964
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 1 0.7950 0.80989 0.760 0.240
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 2 0.2948 0.79088 0.052 0.948
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 1 0.8955 0.78465 0.688 0.312
#> 64B33223-EB30-49ED-A3D8-5AC598845465 2 0.0000 0.80600 0.000 1.000
#> 21599029-B6C9-4385-B87C-FDB99F956118 2 0.4022 0.78053 0.080 0.920
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 2 0.5946 0.75449 0.144 0.856
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 2 0.6048 0.68332 0.148 0.852
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 1 1.0000 -0.08237 0.504 0.496
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 2 0.9710 0.49004 0.400 0.600
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 2 0.1414 0.80471 0.020 0.980
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 1 0.8608 0.80498 0.716 0.284
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 2 0.0000 0.80600 0.000 1.000
#> 8902E88F-181A-46FE-9C80-F11C107B33E4 2 0.2236 0.79592 0.036 0.964
#> 24F2D373-AE15-47B0-8F1B-740426145C2C 2 0.7815 0.63658 0.232 0.768
#> A154A921-EB14-48DF-BF70-AE765CCE5CAB 1 0.0000 0.69100 1.000 0.000
#> D508AD79-2273-4E78-A6EE-97FBAAC7E851 2 0.9170 0.36366 0.332 0.668
#> 023D7F8E-5BD5-4AE8-8A7F-1851AA7F228A 2 0.3733 0.77591 0.072 0.928
#> 3BDE962B-6791-40BC-B3AA-C4D527FFEF22 1 0.8861 0.78781 0.696 0.304
#> 2F2D34BA-A568-470E-B0D9-5875E897FF39 2 0.0376 0.80558 0.004 0.996
#> 6DB55201-3973-4650-842E-842D5869C567 1 0.6887 0.80815 0.816 0.184
#> 258CFB91-4E4F-48F9-A483-9F6C4CFF0D3C 2 0.3879 0.78240 0.076 0.924
#> 5373681D-9C2C-46FE-AA89-05741DA4080B 1 0.8327 0.81132 0.736 0.264
#> 050B778A-9D6F-4742-B6AA-CBF8541F6203 1 0.0672 0.69513 0.992 0.008
#> 46FAC69E-DB01-452F-A3EE-D7339DD562CE 1 0.9170 0.77517 0.668 0.332
#> 2115D9F7-F4A9-4408-9AEF-BCFAF10C4867 1 0.4431 0.72820 0.908 0.092
#> DCEFC413-9710-4863-A5B1-8EFBA98CF126 1 0.9954 0.53439 0.540 0.460
#> 49CA7C56-BD81-4E36-9E50-EF36EDDD8D28 1 0.9170 0.77517 0.668 0.332
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#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 2 0.0000 0.80600 0.000 1.000
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 1 0.7674 0.81057 0.776 0.224
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 1 0.9896 0.50282 0.560 0.440
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 2 0.5946 0.75449 0.144 0.856
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 2 0.5946 0.75449 0.144 0.856
#> 16D23472-C0CB-49F9-9139-77920C50235F 2 0.3431 0.79595 0.064 0.936
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 2 0.0000 0.80600 0.000 1.000
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.0000 0.69100 1.000 0.000
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 2 0.3431 0.79912 0.064 0.936
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.5842 0.78629 0.860 0.140
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 2 0.0000 0.80600 0.000 1.000
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 2 0.4939 0.77534 0.108 0.892
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 2 0.2423 0.80105 0.040 0.960
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 2 0.4161 0.78186 0.084 0.916
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 2 0.5946 0.75449 0.144 0.856
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 2 0.9998 -0.04211 0.492 0.508
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 1 0.7883 0.80621 0.764 0.236
#> D14A535D-5C31-4D78-8F92-3B50922211A2 1 0.9815 0.51445 0.580 0.420
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.0000 0.80600 0.000 1.000
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.2603 0.79180 0.044 0.956
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 2 0.0000 0.80600 0.000 1.000
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 2 0.8813 0.36050 0.300 0.700
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.9522 0.30152 0.372 0.628
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 2 0.2603 0.79402 0.044 0.956
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 2 0.9552 0.50701 0.376 0.624
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 1 0.9815 0.48025 0.580 0.420
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 1 0.9933 0.01865 0.548 0.452
#> B2010F2F-71D4-4637-BD7A-794E99732E03 1 0.8909 0.78861 0.692 0.308
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 1 0.9833 0.62022 0.576 0.424
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.1414 0.80471 0.020 0.980
#> 212CB113-E765-4146-AC8A-B34044E2A849 2 0.1843 0.79882 0.028 0.972
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.0000 0.69100 1.000 0.000
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.2948 0.79905 0.052 0.948
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.1184 0.80270 0.016 0.984
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.1843 0.80358 0.028 0.972
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.6438 0.68993 0.164 0.836
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.5737 0.75919 0.136 0.864
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 1 0.9661 0.71549 0.608 0.392
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.2423 0.71762 0.960 0.040
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.7815 0.61527 0.232 0.768
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 2 0.9909 -0.12902 0.444 0.556
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.9087 0.78058 0.676 0.324
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.5946 0.75449 0.144 0.856
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.0000 0.80600 0.000 1.000
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.6887 0.66261 0.184 0.816
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 1 0.9170 0.77517 0.668 0.332
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 1 0.9170 0.77517 0.668 0.332
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 2 0.0000 0.80600 0.000 1.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 2 0.0376 0.80558 0.004 0.996
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.8499 0.80049 0.724 0.276
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.9522 0.33843 0.372 0.628
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.7528 0.66290 0.216 0.784
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.4298 0.76559 0.088 0.912
#> 560C9030-5EF4-466E-9149-BFB8215A512A 2 0.0000 0.80600 0.000 1.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.8555 0.80491 0.720 0.280
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.5946 0.75449 0.144 0.856
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.5842 0.71875 0.140 0.860
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.8555 0.80491 0.720 0.280
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.4690 0.78067 0.100 0.900
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.9209 0.36080 0.336 0.664
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.2948 0.72715 0.948 0.052
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.7883 0.81450 0.764 0.236
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.5946 0.75449 0.144 0.856
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.0000 0.80600 0.000 1.000
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.9996 -0.19145 0.488 0.512
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.5946 0.75449 0.144 0.856
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 2 0.0376 0.80558 0.004 0.996
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.0376 0.80558 0.004 0.996
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 0.9000 0.78751 0.684 0.316
#> 62315297-B01F-4A7F-9C15-5B602099257F 2 0.0000 0.80600 0.000 1.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.5946 0.75449 0.144 0.856
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.9710 0.49004 0.400 0.600
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.3879 0.79825 0.076 0.924
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.0000 0.80600 0.000 1.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 2 0.0000 0.80600 0.000 1.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 2 0.0376 0.80558 0.004 0.996
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.8386 0.80722 0.732 0.268
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 1 0.8909 0.78419 0.692 0.308
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 2 0.0000 0.80600 0.000 1.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.8555 0.47984 0.280 0.720
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.8608 0.47018 0.284 0.716
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.8555 0.80491 0.720 0.280
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 2 0.0000 0.80600 0.000 1.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.5946 0.75449 0.144 0.856
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.5946 0.75449 0.144 0.856
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.7815 0.56847 0.232 0.768
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.0000 0.80600 0.000 1.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.0672 0.80564 0.008 0.992
#> E36F2243-58F5-41A0-A673-DEAFE0267426 2 0.0000 0.80600 0.000 1.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.6801 0.80646 0.820 0.180
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.5059 0.74662 0.112 0.888
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.6887 0.69796 0.184 0.816
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.9522 0.73940 0.628 0.372
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 2 0.0000 0.80600 0.000 1.000
#> E5D94733-7D43-4021-8F57-4426EF183682 2 0.0000 0.80600 0.000 1.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.9209 0.25909 0.336 0.664
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.9580 0.73184 0.620 0.380
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.9286 0.68820 0.656 0.344
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.4298 0.78524 0.088 0.912
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.7674 0.81643 0.776 0.224
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.8713 0.52546 0.292 0.708
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 1.0000 0.27334 0.504 0.496
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.5178 0.74761 0.116 0.884
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.9608 0.30440 0.384 0.616
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.6148 0.70489 0.152 0.848
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.8661 0.50678 0.288 0.712
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.5946 0.75449 0.144 0.856
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.3274 0.78519 0.060 0.940
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.9686 0.21632 0.396 0.604
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.0000 0.80600 0.000 1.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.6048 0.74216 0.148 0.852
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.8555 0.80491 0.720 0.280
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.5946 0.75449 0.144 0.856
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.0000 0.80600 0.000 1.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.0376 0.80558 0.004 0.996
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.8443 0.80102 0.728 0.272
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.0000 0.80600 0.000 1.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.5946 0.75449 0.144 0.856
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.9993 0.45331 0.516 0.484
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.5946 0.75449 0.144 0.856
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.9427 0.28488 0.360 0.640
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.5946 0.75449 0.144 0.856
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.3733 0.77591 0.072 0.928
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.5946 0.75449 0.144 0.856
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.5946 0.75449 0.144 0.856
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.4161 0.72763 0.916 0.084
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.2043 0.79928 0.032 0.968
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.9129 0.76401 0.672 0.328
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.8909 0.40663 0.308 0.692
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.7299 0.63159 0.204 0.796
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.0000 0.80600 0.000 1.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.5519 0.77426 0.872 0.128
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.0376 0.80558 0.004 0.996
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.9933 0.31666 0.452 0.548
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.2778 0.79955 0.048 0.952
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.7299 0.81336 0.796 0.204
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.0000 0.80600 0.000 1.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.9170 0.77517 0.668 0.332
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 3 0.9804 0.06732 0.296 0.272 0.432
#> 27496AAB-AC06-4100-BB41-0029F63CC678 3 0.4235 0.42670 0.176 0.000 0.824
#> 3BBC7540-136B-47C8-9C09-CD423685B742 3 0.8437 0.26700 0.092 0.388 0.520
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.2998 0.61366 0.916 0.016 0.068
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.4618 0.58439 0.024 0.136 0.840
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.6113 0.37390 0.012 0.300 0.688
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.0848 0.71423 0.008 0.984 0.008
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.5591 0.68240 0.696 0.000 0.304
#> C7A75027-D49D-4D60-93A8-588487B5D690 3 0.4172 0.53367 0.104 0.028 0.868
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.4293 0.54944 0.004 0.164 0.832
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.5119 0.46021 0.816 0.152 0.032
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.6180 0.52127 0.024 0.716 0.260
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.2564 0.57492 0.028 0.036 0.936
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.5797 0.41056 0.008 0.280 0.712
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.5363 0.68942 0.724 0.000 0.276
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 3 0.5269 0.43529 0.200 0.016 0.784
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.3879 0.56517 0.000 0.152 0.848
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 3 0.2383 0.55708 0.044 0.016 0.940
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 3 0.7815 0.42501 0.148 0.180 0.672
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 3 0.9850 -0.00963 0.324 0.264 0.412
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.8494 0.42731 0.156 0.608 0.236
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.1337 0.55824 0.012 0.016 0.972
#> C42C8456-82F9-433C-82BA-F1284CDC425C 3 0.4737 0.56476 0.084 0.064 0.852
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.5860 0.47537 0.024 0.228 0.748
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.5327 0.68705 0.728 0.000 0.272
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 3 0.9233 0.29040 0.204 0.268 0.528
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 3 0.5817 0.51492 0.100 0.100 0.800
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.0848 0.71423 0.008 0.984 0.008
#> E4E13C28-C852-4783-87C8-A77C0436354E 3 0.9304 0.28489 0.204 0.280 0.516
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.7533 0.30010 0.052 0.600 0.348
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.4982 0.64432 0.064 0.840 0.096
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.4172 0.55588 0.004 0.156 0.840
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.1765 0.56818 0.004 0.040 0.956
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 3 0.9276 0.28132 0.212 0.264 0.524
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.2866 0.61947 0.916 0.008 0.076
#> 2913A3F4-469F-4817-A608-3A0F38383197 3 0.9687 0.13240 0.272 0.268 0.460
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.4840 0.52933 0.016 0.168 0.816
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.2590 0.69864 0.004 0.924 0.072
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.4351 0.54216 0.004 0.168 0.828
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.4409 0.54293 0.004 0.172 0.824
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.5216 0.46654 0.000 0.260 0.740
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.9301 0.24123 0.520 0.268 0.212
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#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.0661 0.71624 0.004 0.988 0.008
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 3 0.8007 0.46024 0.116 0.244 0.640
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.6008 0.63067 0.628 0.000 0.372
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.7431 0.51199 0.100 0.688 0.212
#> 4877594A-03A8-4407-8F21-C133460DA44D 3 0.8297 0.38915 0.168 0.200 0.632
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.5619 0.68735 0.744 0.012 0.244
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.8410 0.45285 0.544 0.096 0.360
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.0661 0.71624 0.004 0.988 0.008
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 3 0.5560 0.39932 0.000 0.300 0.700
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 3 0.9385 0.02327 0.328 0.188 0.484
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.0848 0.71423 0.008 0.984 0.008
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.2096 0.57273 0.004 0.052 0.944
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.1643 0.57202 0.000 0.044 0.956
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 0.8206 0.41719 0.480 0.072 0.448
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.5325 0.46072 0.004 0.248 0.748
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.0424 0.71647 0.000 0.992 0.008
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.8924 0.31720 0.268 0.560 0.172
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.9537 0.03929 0.196 0.444 0.360
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.7379 0.26202 0.040 0.584 0.376
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.4887 0.48478 0.000 0.228 0.772
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.3539 0.57131 0.012 0.100 0.888
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.7424 0.55922 0.572 0.040 0.388
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 1 0.9666 0.04525 0.412 0.212 0.376
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.5115 0.48352 0.004 0.228 0.768
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 3 0.7155 0.46350 0.128 0.152 0.720
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 3 0.4371 0.53129 0.108 0.032 0.860
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.5882 0.65354 0.652 0.000 0.348
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.5754 0.38931 0.004 0.296 0.700
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.0661 0.71624 0.004 0.988 0.008
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.0424 0.71647 0.000 0.992 0.008
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.2414 0.55952 0.040 0.020 0.940
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.4682 0.52402 0.004 0.192 0.804
#> EFA48913-D0BD-4530-A445-C327A89CE956 3 0.6793 0.11879 0.012 0.452 0.536
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.5404 0.44620 0.004 0.256 0.740
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.5254 0.68773 0.736 0.000 0.264
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 3 0.2998 0.55366 0.068 0.016 0.916
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 3 0.9326 0.28544 0.204 0.284 0.512
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.3482 0.46763 0.128 0.000 0.872
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.5754 0.38931 0.004 0.296 0.700
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.4974 0.47531 0.000 0.236 0.764
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 3 0.1643 0.54925 0.044 0.000 0.956
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.3412 0.47066 0.124 0.000 0.876
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 3 0.9783 -0.09663 0.360 0.236 0.404
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.8673 0.36321 0.148 0.580 0.272
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.5591 0.68207 0.696 0.000 0.304
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 3 0.9187 0.29586 0.196 0.272 0.532
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 3 0.9612 -0.01343 0.332 0.216 0.452
#> 85C38170-F2A0-4491-BFDB-38489204C015 3 0.8869 0.37126 0.160 0.280 0.560
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 3 0.9309 0.27879 0.216 0.264 0.520
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 3 0.3120 0.54785 0.080 0.012 0.908
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 3 0.9313 0.28181 0.200 0.288 0.512
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.0661 0.71624 0.004 0.988 0.008
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.3610 0.58628 0.016 0.096 0.888
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 3 0.9337 0.27155 0.208 0.280 0.512
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.6497 0.31049 0.016 0.336 0.648
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 3 0.9391 0.27196 0.200 0.304 0.496
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.6229 0.65593 0.652 0.008 0.340
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.2774 0.69943 0.008 0.920 0.072
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.4504 0.52271 0.000 0.196 0.804
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.5200 0.54938 0.020 0.184 0.796
#> B1F7AADF-8867-48D3-9116-854929420482 3 0.9424 -0.10241 0.352 0.184 0.464
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.5016 0.47320 0.000 0.240 0.760
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.1129 0.71684 0.004 0.976 0.020
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 3 0.2165 0.54212 0.064 0.000 0.936
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.0848 0.71423 0.008 0.984 0.008
#> 69B229BC-0964-48FC-9FBC-B9303C027981 3 0.9411 0.16173 0.288 0.212 0.500
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.2200 0.70495 0.004 0.940 0.056
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.1399 0.56419 0.004 0.028 0.968
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.0661 0.71624 0.004 0.988 0.008
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.1832 0.70074 0.036 0.956 0.008
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.6527 0.26689 0.588 0.008 0.404
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.6944 0.02421 0.016 0.468 0.516
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.7268 0.54373 0.524 0.028 0.448
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 3 0.4779 0.51303 0.124 0.036 0.840
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 3 0.6854 0.47361 0.124 0.136 0.740
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.6535 0.53699 0.052 0.220 0.728
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.7112 0.66651 0.680 0.060 0.260
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.4291 0.53776 0.000 0.180 0.820
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 3 0.9919 0.08653 0.356 0.272 0.372
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.8375 0.38562 0.132 0.608 0.260
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.5529 0.68520 0.704 0.000 0.296
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.5404 0.44695 0.004 0.256 0.740
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 3 0.4654 0.38630 0.208 0.000 0.792
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.2281 0.8345 0.000 0.904 0.096 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.4541 0.7761 0.000 0.796 0.144 0.060
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0188 0.6795 0.996 0.004 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.3751 0.7603 0.000 0.800 0.196 0.004
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0000 0.9259 0.000 0.000 0.000 1.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.4817 0.6513 0.612 0.388 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.6766 1.000 0.000 0.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.3610 0.6281 0.000 0.200 0.000 0.800
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.3569 0.7615 0.000 0.804 0.196 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.4250 0.7440 0.724 0.276 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.3610 0.6533 0.000 0.200 0.800 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.4008 0.7076 0.000 0.756 0.244 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.3764 0.7413 0.000 0.784 0.000 0.216
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.2868 0.8072 0.000 0.864 0.136 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.4916 0.5906 0.576 0.424 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.1474 0.8549 0.000 0.948 0.052 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.0000 0.9259 0.000 0.000 0.000 1.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.4378 0.7706 0.000 0.796 0.040 0.164
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.2198 0.8419 0.008 0.072 0.000 0.920
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0188 0.6795 0.996 0.004 0.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.0000 0.9259 0.000 0.000 0.000 1.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.5060 0.3695 0.000 0.584 0.412 0.004
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.2973 0.6127 0.856 0.000 0.144 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.3266 0.7863 0.000 0.832 0.168 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.4304 0.3914 0.284 0.716 0.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.0188 0.6795 0.996 0.004 0.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.4804 0.5042 0.000 0.616 0.000 0.384
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0188 0.8685 0.000 0.996 0.000 0.004
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.0000 0.9259 0.000 0.000 0.000 1.000
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.0000 0.9259 0.000 0.000 0.000 1.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.4584 0.5349 0.004 0.000 0.696 0.300
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.0000 0.9259 0.000 0.000 0.000 1.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0000 0.6766 1.000 0.000 0.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.0000 0.9259 0.000 0.000 0.000 1.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.4193 0.6759 0.000 0.732 0.268 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.3610 0.6686 0.200 0.000 0.800 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 3 0.5936 0.3041 0.044 0.380 0.576 0.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.0000 0.9259 0.000 0.000 0.000 1.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.0000 0.6766 1.000 0.000 0.000 0.000
#> B40B9470-990D-4443-8484-17266E829557 2 0.3610 0.7555 0.200 0.800 0.000 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.4855 0.6335 0.600 0.400 0.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 3 0.4406 0.5167 0.000 0.300 0.700 0.000
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.3569 0.7615 0.000 0.804 0.196 0.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.3123 0.7941 0.000 0.844 0.000 0.156
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.5288 0.7455 0.720 0.224 0.056 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 2 0.4807 0.6817 0.024 0.728 0.248 0.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.6133 0.6023 0.204 0.672 0.000 0.124
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.0921 0.6841 0.972 0.028 0.000 0.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.3688 0.7481 0.208 0.792 0.000 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.4454 0.7308 0.692 0.308 0.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.0469 0.8674 0.000 0.988 0.000 0.012
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.3610 0.7555 0.200 0.800 0.000 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.0000 0.9259 0.000 0.000 0.000 1.000
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#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.0817 0.8646 0.000 0.976 0.024 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.6477 0.6592 0.600 0.300 0.100 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.0000 0.9259 0.000 0.000 0.000 1.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.0000 0.9259 0.000 0.000 0.000 1.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.4804 0.3382 0.000 0.384 0.616 0.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.5174 0.7488 0.000 0.760 0.124 0.116
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.3726 0.7535 0.788 0.212 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.2704 0.8179 0.000 0.876 0.124 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.4713 0.4035 0.000 0.360 0.640 0.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.3569 0.7615 0.000 0.804 0.196 0.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.4830 0.3147 0.000 0.392 0.608 0.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.3726 0.7455 0.000 0.788 0.000 0.212
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.4331 0.7402 0.712 0.288 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0707 0.8654 0.000 0.980 0.000 0.020
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.2704 0.8182 0.000 0.876 0.124 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.0000 0.9259 0.000 0.000 0.000 1.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.4898 0.2353 0.000 0.416 0.584 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.4655 0.7134 0.796 0.088 0.116 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.0000 0.9259 0.000 0.000 0.000 1.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.3933 0.7548 0.000 0.792 0.200 0.008
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.0000 0.9259 0.000 0.000 0.000 1.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.2469 0.8275 0.000 0.892 0.108 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0000 0.9259 0.000 0.000 0.000 1.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.0000 0.9259 0.000 0.000 0.000 1.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.0188 0.8810 0.000 0.004 0.996 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.0000 0.9259 0.000 0.000 0.000 1.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.0188 0.9231 0.004 0.000 0.000 0.996
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.4843 0.4422 0.396 0.604 0.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.5028 0.3028 0.596 0.004 0.400 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.0188 0.8689 0.000 0.996 0.004 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0000 0.8694 0.000 1.000 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.3852 0.7623 0.000 0.800 0.192 0.008
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.4522 0.7046 0.680 0.320 0.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.2216 0.8328 0.092 0.908 0.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.3907 0.7243 0.000 0.768 0.000 0.232
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.4948 0.5578 0.560 0.440 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.8835 0.000 0.000 1.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.0000 0.8694 0.000 1.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0794 0.7839 0.000 0.972 0.000 0.000 0.028
#> 27496AAB-AC06-4100-BB41-0029F63CC678 5 0.5364 0.4209 0.000 0.364 0.064 0.000 0.572
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.5351 0.5556 0.000 0.724 0.108 0.036 0.132
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.3906 0.7519 0.804 0.084 0.000 0.000 0.112
#> 82DA87CF-C067-44B3-A372-ECB056337B08 5 0.6380 0.6954 0.000 0.304 0.172 0.004 0.520
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0162 0.8170 0.000 0.000 0.996 0.000 0.004
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.1106 0.8979 0.000 0.000 0.024 0.964 0.012
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.5779 0.7431 0.616 0.172 0.000 0.000 0.212
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.3242 0.6812 0.000 0.784 0.000 0.000 0.216
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.1410 0.8098 0.000 0.000 0.940 0.000 0.060
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0162 0.6967 0.996 0.000 0.000 0.000 0.004
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.3205 0.7965 0.000 0.072 0.008 0.864 0.056
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 5 0.5982 0.7008 0.000 0.312 0.136 0.000 0.552
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0794 0.8237 0.000 0.000 0.972 0.000 0.028
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.5578 0.7558 0.644 0.180 0.000 0.000 0.176
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.2852 0.7393 0.000 0.828 0.000 0.000 0.172
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 5 0.5691 0.4430 0.000 0.084 0.400 0.000 0.516
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 5 0.5900 0.6768 0.000 0.188 0.212 0.000 0.600
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0963 0.7837 0.000 0.964 0.000 0.000 0.036
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0290 0.7852 0.000 0.992 0.000 0.000 0.008
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.5776 0.6054 0.000 0.632 0.004 0.204 0.160
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.1965 0.7892 0.000 0.000 0.904 0.000 0.096
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.4136 0.5971 0.000 0.764 0.048 0.000 0.188
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0703 0.8242 0.000 0.000 0.976 0.000 0.024
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.5864 0.6565 0.572 0.300 0.000 0.000 0.128
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.1270 0.7853 0.000 0.948 0.000 0.000 0.052
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.2079 0.7659 0.000 0.916 0.020 0.000 0.064
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.1106 0.8979 0.000 0.000 0.024 0.964 0.012
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0963 0.7868 0.000 0.964 0.000 0.000 0.036
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.6581 0.5198 0.000 0.576 0.028 0.196 0.200
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.3001 0.8439 0.024 0.016 0.060 0.888 0.012
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0703 0.8242 0.000 0.000 0.976 0.000 0.024
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.1965 0.7911 0.000 0.000 0.904 0.000 0.096
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0794 0.7884 0.000 0.972 0.000 0.000 0.028
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.4069 0.7545 0.788 0.076 0.000 0.000 0.136
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0703 0.7848 0.000 0.976 0.000 0.000 0.024
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.1282 0.8001 0.000 0.000 0.952 0.004 0.044
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.0693 0.8997 0.000 0.000 0.008 0.980 0.012
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0703 0.8136 0.000 0.000 0.976 0.000 0.024
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0794 0.8235 0.000 0.000 0.972 0.000 0.028
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 5 0.6530 0.5955 0.000 0.200 0.360 0.000 0.440
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.3535 0.6018 0.808 0.000 0.164 0.000 0.028
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.1851 0.7749 0.000 0.912 0.000 0.000 0.088
#> 040D3276-2E61-426E-B182-AEE6C9778488 5 0.5512 0.6990 0.000 0.276 0.104 0.000 0.620
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.6710 -0.3301 0.388 0.404 0.004 0.000 0.204
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.2536 0.7286 0.868 0.004 0.000 0.000 0.128
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.6417 0.4293 0.000 0.496 0.004 0.336 0.164
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0771 0.7867 0.000 0.976 0.000 0.004 0.020
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.0290 0.8969 0.000 0.008 0.000 0.992 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.0865 0.7859 0.000 0.972 0.000 0.004 0.024
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.0451 0.8988 0.000 0.000 0.004 0.988 0.008
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.4354 0.5091 0.020 0.000 0.720 0.252 0.008
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.1106 0.8979 0.000 0.000 0.024 0.964 0.012
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.4300 -0.0314 0.000 0.000 0.524 0.000 0.476
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0324 0.8162 0.000 0.000 0.992 0.004 0.004
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0162 0.6967 0.996 0.000 0.000 0.000 0.004
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.2068 0.7803 0.000 0.904 0.004 0.000 0.092
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.0290 0.9004 0.000 0.000 0.000 0.992 0.008
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 5 0.6179 0.6993 0.000 0.228 0.216 0.000 0.556
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.5024 0.5177 0.212 0.000 0.692 0.000 0.096
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.7958 -0.1941 0.328 0.076 0.324 0.000 0.272
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.0290 0.9004 0.000 0.000 0.000 0.992 0.008
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.0510 0.6953 0.984 0.000 0.000 0.000 0.016
#> B40B9470-990D-4443-8484-17266E829557 2 0.4989 0.6917 0.124 0.708 0.000 0.000 0.168
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.5840 0.7239 0.604 0.232 0.000 0.000 0.164
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 5 0.5578 0.6031 0.000 0.112 0.272 0.000 0.616
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 5 0.5522 0.6926 0.000 0.308 0.092 0.000 0.600
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.1121 0.7815 0.000 0.956 0.000 0.000 0.044
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.4905 0.6862 0.000 0.728 0.004 0.116 0.152
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.5301 0.7416 0.648 0.076 0.004 0.000 0.272
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 5 0.7102 0.3114 0.060 0.392 0.112 0.000 0.436
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.1197 0.7894 0.000 0.952 0.000 0.000 0.048
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.7537 0.4680 0.220 0.512 0.000 0.120 0.148
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.1792 0.7869 0.000 0.916 0.000 0.000 0.084
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.1043 0.8195 0.000 0.000 0.960 0.000 0.040
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.4505 0.7556 0.760 0.084 0.004 0.000 0.152
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.4845 0.6601 0.128 0.724 0.000 0.000 0.148
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0703 0.8242 0.000 0.000 0.976 0.000 0.024
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.5728 0.7439 0.624 0.200 0.000 0.000 0.176
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.2798 0.7540 0.000 0.852 0.000 0.008 0.140
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.1965 0.7769 0.000 0.904 0.000 0.000 0.096
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.3622 0.7431 0.124 0.820 0.000 0.000 0.056
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0162 0.8170 0.000 0.000 0.996 0.000 0.004
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.1106 0.8979 0.000 0.000 0.024 0.964 0.012
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 4 0.5827 0.2728 0.356 0.048 0.008 0.572 0.016
#> EB5CF362-6974-4137-AC92-2051B1594E13 4 0.0162 0.9004 0.000 0.000 0.000 0.996 0.004
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.0566 0.8933 0.000 0.012 0.004 0.984 0.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0807 0.7020 0.976 0.012 0.000 0.000 0.012
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 4 0.1106 0.8979 0.000 0.000 0.024 0.964 0.012
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 4 0.1106 0.8979 0.000 0.000 0.024 0.964 0.012
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.2411 0.7102 0.000 0.000 0.884 0.108 0.008
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.0865 0.7866 0.000 0.972 0.000 0.004 0.024
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.1341 0.8130 0.000 0.000 0.944 0.000 0.056
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.0693 0.8112 0.000 0.000 0.980 0.012 0.008
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 2 0.2674 0.7581 0.000 0.856 0.004 0.000 0.140
#> 2C2589E0-2055-43AC-8001-1643839F80D4 3 0.4256 0.1729 0.000 0.000 0.564 0.000 0.436
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#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0703 0.8242 0.000 0.000 0.976 0.000 0.024
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.0798 0.8999 0.000 0.000 0.016 0.976 0.008
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.7303 0.5209 0.084 0.552 0.004 0.176 0.184
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.4167 0.7271 0.000 0.788 0.004 0.072 0.136
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.7276 0.4237 0.000 0.528 0.096 0.248 0.128
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.1478 0.8069 0.000 0.000 0.936 0.000 0.064
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.0794 0.8119 0.000 0.000 0.972 0.000 0.028
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.5058 0.5596 0.224 0.692 0.004 0.000 0.080
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.3513 0.7544 0.000 0.828 0.004 0.036 0.132
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0703 0.8242 0.000 0.000 0.976 0.000 0.024
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.1270 0.7806 0.000 0.948 0.000 0.000 0.052
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.3242 0.7073 0.000 0.784 0.000 0.000 0.216
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.5976 0.7220 0.604 0.136 0.008 0.000 0.252
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.8180 0.000 0.000 1.000 0.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.0290 0.9004 0.000 0.000 0.000 0.992 0.008
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.0451 0.9006 0.000 0.000 0.004 0.988 0.008
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 5 0.5758 0.6196 0.000 0.132 0.268 0.000 0.600
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.1965 0.7857 0.000 0.000 0.904 0.000 0.096
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.7088 0.4456 0.000 0.572 0.120 0.116 0.192
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0703 0.8242 0.000 0.000 0.976 0.000 0.024
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.5472 0.7563 0.656 0.188 0.000 0.000 0.156
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 5 0.5174 0.6310 0.000 0.340 0.056 0.000 0.604
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.1965 0.7746 0.000 0.904 0.000 0.000 0.096
#> 2798DEF8-A841-4068-B3FC-76D57605235A 5 0.6598 0.5593 0.000 0.228 0.324 0.000 0.448
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0162 0.8194 0.000 0.000 0.996 0.000 0.004
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0703 0.8242 0.000 0.000 0.976 0.000 0.024
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 5 0.5873 0.6970 0.000 0.312 0.124 0.000 0.564
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 5 0.5720 0.6191 0.000 0.128 0.268 0.000 0.604
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.1544 0.7822 0.000 0.932 0.000 0.000 0.068
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.5958 0.5826 0.000 0.612 0.008 0.236 0.144
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.5447 0.7580 0.640 0.112 0.000 0.000 0.248
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0794 0.7862 0.000 0.972 0.000 0.000 0.028
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.2536 0.7692 0.000 0.868 0.004 0.000 0.128
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.1117 0.7876 0.000 0.964 0.000 0.016 0.020
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.1608 0.7870 0.000 0.928 0.000 0.000 0.072
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.4849 0.2403 0.000 0.608 0.032 0.000 0.360
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0510 0.7857 0.000 0.984 0.000 0.000 0.016
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.0290 0.9004 0.000 0.000 0.000 0.992 0.008
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.6771 -0.5401 0.000 0.272 0.372 0.000 0.356
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0880 0.7880 0.000 0.968 0.000 0.000 0.032
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0162 0.8170 0.000 0.000 0.996 0.000 0.004
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.1732 0.7787 0.000 0.920 0.000 0.000 0.080
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.5114 0.7050 0.692 0.016 0.056 0.000 0.236
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.0404 0.8993 0.000 0.000 0.000 0.988 0.012
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.1043 0.8196 0.000 0.000 0.960 0.000 0.040
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 5 0.6535 0.6849 0.000 0.328 0.168 0.008 0.496
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.1341 0.7850 0.000 0.944 0.000 0.000 0.056
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.1908 0.7868 0.000 0.000 0.908 0.000 0.092
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.0290 0.9004 0.000 0.000 0.000 0.992 0.008
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 5 0.4960 0.6550 0.000 0.232 0.080 0.000 0.688
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.1106 0.8979 0.000 0.000 0.024 0.964 0.012
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0609 0.7853 0.000 0.980 0.000 0.000 0.020
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.0290 0.9004 0.000 0.000 0.000 0.992 0.008
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.3635 0.6244 0.000 0.004 0.748 0.000 0.248
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.0290 0.9004 0.000 0.000 0.000 0.992 0.008
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.1617 0.8929 0.020 0.000 0.020 0.948 0.012
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.5682 0.5505 0.248 0.628 0.004 0.000 0.120
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0451 0.8149 0.000 0.000 0.988 0.004 0.008
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.6006 0.4168 0.564 0.004 0.308 0.000 0.124
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.2605 0.7447 0.000 0.852 0.000 0.000 0.148
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.2561 0.7322 0.000 0.856 0.000 0.000 0.144
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.6038 0.4519 0.000 0.656 0.144 0.036 0.164
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.4375 0.7507 0.768 0.156 0.004 0.000 0.072
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.3210 0.6561 0.000 0.000 0.788 0.000 0.212
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.3060 0.7742 0.024 0.848 0.000 0.000 0.128
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.6121 0.5406 0.000 0.576 0.004 0.256 0.164
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.6259 0.6862 0.556 0.260 0.004 0.000 0.180
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0703 0.8242 0.000 0.000 0.976 0.000 0.024
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.3231 0.7199 0.000 0.800 0.004 0.000 0.196
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.0291 0.60329 0.992 0.004 0.000 0.000 0.000 0.004
#> 27496AAB-AC06-4100-BB41-0029F63CC678 6 0.5378 0.31623 0.092 0.272 0.024 0.000 0.000 0.612
#> 3BBC7540-136B-47C8-9C09-CD423685B742 1 0.5970 0.00525 0.480 0.036 0.100 0.000 0.000 0.384
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.3163 0.68383 0.004 0.232 0.000 0.000 0.764 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 6 0.3481 0.65038 0.048 0.000 0.160 0.000 0.000 0.792
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.2340 0.78710 0.000 0.000 0.852 0.000 0.000 0.148
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.2834 0.80956 0.000 0.128 0.008 0.848 0.000 0.016
#> C590B811-A42F-4ED2-896A-513EFD42D62D 5 0.6191 0.68872 0.120 0.188 0.000 0.000 0.592 0.100
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.4428 0.29775 0.580 0.032 0.000 0.000 0.000 0.388
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.3351 0.70799 0.000 0.000 0.712 0.000 0.000 0.288
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.0000 0.63399 0.000 0.000 0.000 0.000 1.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.5786 0.59287 0.060 0.120 0.096 0.684 0.000 0.040
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 6 0.3176 0.65184 0.084 0.000 0.084 0.000 0.000 0.832
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0692 0.74133 0.000 0.004 0.976 0.000 0.000 0.020
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 5 0.5959 0.68837 0.092 0.296 0.000 0.000 0.556 0.056
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.4422 0.47805 0.700 0.212 0.000 0.000 0.000 0.088
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 6 0.3043 0.61604 0.008 0.000 0.200 0.000 0.000 0.792
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 6 0.1863 0.64327 0.036 0.000 0.044 0.000 0.000 0.920
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.1049 0.60889 0.960 0.008 0.000 0.000 0.000 0.032
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.0146 0.60300 0.996 0.000 0.000 0.000 0.000 0.004
#> E8385A24-9459-4D47-9147-3A628D1A213D 1 0.5588 -0.25185 0.528 0.356 0.000 0.100 0.000 0.016
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.3872 0.54537 0.000 0.004 0.604 0.000 0.000 0.392
#> C42C8456-82F9-433C-82BA-F1284CDC425C 1 0.4721 0.12799 0.532 0.000 0.048 0.000 0.000 0.420
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.3081 0.78618 0.000 0.004 0.776 0.000 0.000 0.220
#> 032E0758-7A5B-405B-88D3-74C527605780 5 0.5874 0.63227 0.188 0.244 0.000 0.000 0.552 0.016
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.2685 0.59190 0.868 0.072 0.000 0.000 0.000 0.060
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 1 0.2703 0.51481 0.824 0.000 0.004 0.000 0.000 0.172
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.2834 0.80956 0.000 0.128 0.008 0.848 0.000 0.016
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.1794 0.60650 0.924 0.040 0.000 0.000 0.000 0.036
#> D48A0C08-C253-49EA-9083-DCA68541072B 6 0.8039 -0.11810 0.304 0.188 0.056 0.104 0.000 0.348
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.5495 0.68637 0.024 0.128 0.072 0.708 0.004 0.064
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.1010 0.74885 0.000 0.004 0.960 0.000 0.000 0.036
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.3409 0.72464 0.000 0.000 0.700 0.000 0.000 0.300
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.0777 0.60715 0.972 0.024 0.000 0.000 0.000 0.004
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.3690 0.69394 0.008 0.308 0.000 0.000 0.684 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.0603 0.60607 0.980 0.016 0.000 0.000 0.000 0.004
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0458 0.73404 0.000 0.000 0.984 0.000 0.000 0.016
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.2257 0.81372 0.000 0.060 0.016 0.904 0.000 0.020
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.2854 0.79347 0.000 0.000 0.792 0.000 0.000 0.208
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.2994 0.79105 0.000 0.004 0.788 0.000 0.000 0.208
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 6 0.4406 0.58004 0.016 0.036 0.256 0.000 0.000 0.692
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.5875 0.43205 0.000 0.124 0.196 0.000 0.616 0.064
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.2318 0.60017 0.892 0.044 0.000 0.000 0.000 0.064
#> 040D3276-2E61-426E-B182-AEE6C9778488 6 0.2145 0.63465 0.072 0.000 0.028 0.000 0.000 0.900
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 5 0.6788 0.61260 0.120 0.356 0.000 0.000 0.424 0.100
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.2913 0.69241 0.004 0.180 0.000 0.000 0.812 0.004
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.6443 0.56903 0.352 0.364 0.000 0.268 0.000 0.016
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.0000 0.60233 1.000 0.000 0.000 0.000 0.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.1503 0.79705 0.032 0.008 0.000 0.944 0.000 0.016
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.1714 0.58635 0.908 0.000 0.000 0.000 0.000 0.092
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.1219 0.79211 0.048 0.004 0.000 0.948 0.000 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.2332 0.68378 0.000 0.036 0.904 0.040 0.000 0.020
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.2981 0.80718 0.000 0.116 0.016 0.848 0.000 0.020
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 6 0.3659 0.38963 0.000 0.000 0.364 0.000 0.000 0.636
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0547 0.73633 0.000 0.000 0.980 0.000 0.000 0.020
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.1141 0.61802 0.000 0.052 0.000 0.000 0.948 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.3559 0.51804 0.820 0.104 0.000 0.000 0.020 0.056
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.0000 0.81705 0.000 0.000 0.000 1.000 0.000 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 6 0.3014 0.65236 0.036 0.000 0.132 0.000 0.000 0.832
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.7090 0.36679 0.000 0.104 0.436 0.000 0.204 0.256
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 6 0.6687 0.45918 0.020 0.120 0.128 0.000 0.152 0.580
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.0146 0.81673 0.000 0.004 0.000 0.996 0.000 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 5 0.2214 0.62234 0.000 0.096 0.000 0.000 0.888 0.016
#> B40B9470-990D-4443-8484-17266E829557 1 0.5066 0.32369 0.608 0.276 0.000 0.000 0.116 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 5 0.6014 0.67824 0.128 0.232 0.000 0.000 0.584 0.056
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 6 0.3796 0.60795 0.000 0.084 0.140 0.000 0.000 0.776
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 6 0.2250 0.64954 0.040 0.000 0.064 0.000 0.000 0.896
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 1 0.1806 0.57821 0.908 0.004 0.000 0.000 0.000 0.088
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 1 0.4407 -0.01256 0.608 0.364 0.000 0.012 0.000 0.016
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 5 0.5507 0.69219 0.012 0.188 0.000 0.000 0.608 0.192
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 6 0.7335 0.27703 0.044 0.272 0.116 0.000 0.092 0.476
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 1 0.1225 0.60738 0.952 0.036 0.000 0.000 0.000 0.012
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.7807 0.49631 0.248 0.372 0.000 0.196 0.168 0.016
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 1 0.3695 0.56184 0.776 0.164 0.000 0.000 0.000 0.060
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.2883 0.78947 0.000 0.000 0.788 0.000 0.000 0.212
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 5 0.5001 0.65663 0.016 0.380 0.000 0.000 0.560 0.044
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.5127 0.32347 0.620 0.260 0.000 0.000 0.116 0.004
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#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 6 0.2942 0.65174 0.032 0.000 0.132 0.000 0.000 0.836
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 1 0.4300 0.02941 0.608 0.364 0.000 0.000 0.000 0.028
#> 91C50649-EC31-4E49-8312-199C21A1F371 1 0.4123 0.19882 0.568 0.000 0.012 0.000 0.000 0.420
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 4 0.2933 0.80845 0.000 0.128 0.012 0.844 0.000 0.016
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 6 0.5611 0.61350 0.108 0.084 0.148 0.000 0.000 0.660
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 5 0.3081 0.68641 0.004 0.220 0.000 0.000 0.776 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 1 0.0508 0.60624 0.984 0.012 0.000 0.000 0.000 0.004
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 4 0.7269 0.40594 0.004 0.188 0.020 0.512 0.152 0.124
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.5455 0.34384 0.564 0.264 0.000 0.000 0.000 0.172
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.0000 0.81705 0.000 0.000 0.000 1.000 0.000 0.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 6 0.6852 0.24665 0.376 0.060 0.152 0.008 0.000 0.404
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 1 0.3857 0.18197 0.532 0.000 0.000 0.000 0.000 0.468
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 6 0.5491 0.31365 0.088 0.276 0.032 0.000 0.000 0.604
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 1 0.5568 0.33387 0.568 0.104 0.000 0.000 0.020 0.308
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.2933 0.79468 0.000 0.004 0.796 0.000 0.000 0.200
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 6 0.3566 0.58477 0.020 0.000 0.236 0.000 0.000 0.744
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.4796 0.44677 0.660 0.224 0.000 0.000 0.000 0.116
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 1 0.2740 0.59017 0.864 0.076 0.000 0.000 0.000 0.060
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 1 0.2799 0.59532 0.860 0.064 0.000 0.000 0.000 0.076
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 6 0.3344 0.65017 0.044 0.000 0.152 0.000 0.000 0.804
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.2933 0.79468 0.000 0.004 0.796 0.000 0.000 0.200
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 5 0.6087 0.66235 0.000 0.220 0.040 0.000 0.564 0.176
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.0146 0.81673 0.000 0.004 0.000 0.996 0.000 0.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 1 0.0909 0.60201 0.968 0.000 0.012 0.000 0.000 0.020
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 5 0.5721 0.68065 0.008 0.180 0.008 0.000 0.592 0.212
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 4 0.6157 -0.44213 0.180 0.360 0.000 0.444 0.000 0.016
#> 4877594A-03A8-4407-8F21-C133460DA44D 1 0.2389 0.59893 0.888 0.052 0.000 0.000 0.000 0.060
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 5 0.4206 0.69303 0.056 0.152 0.000 0.000 0.764 0.028
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.3725 0.55122 0.804 0.116 0.000 0.000 0.016 0.064
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.0146 0.81605 0.000 0.000 0.000 0.996 0.000 0.004
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 6 0.5525 0.56526 0.068 0.052 0.268 0.000 0.000 0.612
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.4147 0.46636 0.716 0.224 0.000 0.000 0.000 0.060
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.2834 0.80956 0.000 0.128 0.008 0.848 0.000 0.016
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.2964 0.79365 0.000 0.004 0.792 0.000 0.000 0.204
#> 8291A898-F097-4009-B0DB-ACB61493263B 6 0.2941 0.59329 0.000 0.000 0.220 0.000 0.000 0.780
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 0.4284 0.52127 0.748 0.108 0.000 0.000 0.008 0.136
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.2933 0.79468 0.000 0.004 0.796 0.000 0.000 0.200
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.0291 0.81814 0.000 0.004 0.000 0.992 0.000 0.004
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.8511 -0.28304 0.196 0.248 0.004 0.344 0.100 0.108
#> D7791F51-5151-4E21-802F-F61EE07D626F 1 0.3564 0.29706 0.724 0.264 0.000 0.000 0.000 0.012
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 4 0.8625 -0.28831 0.252 0.144 0.116 0.312 0.000 0.176
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.3175 0.74740 0.000 0.000 0.744 0.000 0.000 0.256
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.0713 0.73556 0.000 0.000 0.972 0.000 0.000 0.028
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.6559 -0.04962 0.456 0.132 0.000 0.000 0.344 0.068
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 1 0.3366 0.53254 0.832 0.100 0.000 0.000 0.016 0.052
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.2933 0.79468 0.000 0.004 0.796 0.000 0.000 0.200
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.1285 0.61011 0.944 0.004 0.000 0.000 0.000 0.052
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.5359 0.18524 0.460 0.108 0.000 0.000 0.000 0.432
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 5 0.6111 0.68838 0.068 0.180 0.000 0.000 0.592 0.160
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.2793 0.79405 0.000 0.000 0.800 0.000 0.000 0.200
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.0146 0.81673 0.000 0.004 0.000 0.996 0.000 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.0458 0.81883 0.000 0.016 0.000 0.984 0.000 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 6 0.3082 0.64559 0.020 0.008 0.144 0.000 0.000 0.828
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.3052 0.78574 0.000 0.004 0.780 0.000 0.000 0.216
#> EFA48913-D0BD-4530-A445-C327A89CE956 6 0.7216 0.53927 0.120 0.120 0.204 0.036 0.000 0.520
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.2933 0.79468 0.000 0.004 0.796 0.000 0.000 0.200
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 5 0.5664 0.70010 0.080 0.256 0.000 0.000 0.608 0.056
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 6 0.3907 0.36462 0.268 0.000 0.028 0.000 0.000 0.704
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 1 0.1610 0.55991 0.916 0.084 0.000 0.000 0.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 6 0.4775 0.60345 0.028 0.092 0.148 0.000 0.004 0.728
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.2854 0.79088 0.000 0.000 0.792 0.000 0.000 0.208
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.2933 0.79468 0.000 0.004 0.796 0.000 0.000 0.200
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 6 0.3442 0.64809 0.104 0.012 0.060 0.000 0.000 0.824
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 6 0.3757 0.60705 0.000 0.084 0.136 0.000 0.000 0.780
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.2897 0.58717 0.852 0.088 0.000 0.000 0.000 0.060
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 1 0.6253 -0.43642 0.452 0.336 0.000 0.192 0.000 0.020
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 5 0.6266 0.67814 0.076 0.336 0.000 0.000 0.500 0.088
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.2001 0.60336 0.912 0.040 0.000 0.000 0.000 0.048
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.4570 0.47081 0.680 0.228 0.000 0.000 0.000 0.092
#> 85C38170-F2A0-4491-BFDB-38489204C015 1 0.2401 0.56454 0.892 0.072 0.008 0.000 0.000 0.028
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.2451 0.59592 0.884 0.060 0.000 0.000 0.000 0.056
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 6 0.3993 -0.19003 0.476 0.000 0.004 0.000 0.000 0.520
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.0291 0.60414 0.992 0.004 0.000 0.000 0.000 0.004
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.0146 0.81673 0.000 0.004 0.000 0.996 0.000 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 6 0.5028 0.60769 0.108 0.008 0.236 0.000 0.000 0.648
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.0000 0.60233 1.000 0.000 0.000 0.000 0.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0458 0.73351 0.000 0.000 0.984 0.000 0.000 0.016
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.3373 0.34722 0.744 0.248 0.000 0.000 0.000 0.008
#> F4142833-0749-44A4-B769-66262AA4A484 5 0.5671 0.68042 0.004 0.176 0.020 0.000 0.616 0.184
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.2282 0.81176 0.000 0.068 0.012 0.900 0.000 0.020
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.2964 0.79296 0.000 0.004 0.792 0.000 0.000 0.204
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 6 0.4141 0.64356 0.092 0.000 0.168 0.000 0.000 0.740
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.1480 0.61021 0.940 0.040 0.000 0.000 0.000 0.020
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.3076 0.76492 0.000 0.000 0.760 0.000 0.000 0.240
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.0146 0.81673 0.000 0.004 0.000 0.996 0.000 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 6 0.5279 0.55981 0.112 0.128 0.068 0.000 0.000 0.692
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.2631 0.81110 0.000 0.128 0.004 0.856 0.000 0.012
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.1334 0.60981 0.948 0.032 0.000 0.000 0.000 0.020
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.0146 0.81673 0.000 0.004 0.000 0.996 0.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.3833 0.31317 0.000 0.000 0.556 0.000 0.000 0.444
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.0146 0.81673 0.000 0.004 0.000 0.996 0.000 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.2841 0.80945 0.000 0.128 0.012 0.848 0.000 0.012
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.6755 -0.02369 0.392 0.200 0.000 0.000 0.356 0.052
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0458 0.73351 0.000 0.000 0.984 0.000 0.000 0.016
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 5 0.5996 0.27931 0.000 0.056 0.424 0.000 0.448 0.072
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.3071 0.56435 0.804 0.016 0.000 0.000 0.000 0.180
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.2489 0.59648 0.860 0.012 0.000 0.000 0.000 0.128
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 6 0.6390 0.30733 0.372 0.040 0.152 0.000 0.000 0.436
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 5 0.5833 0.63813 0.056 0.212 0.000 0.000 0.612 0.120
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.3728 0.60452 0.000 0.004 0.652 0.000 0.000 0.344
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.3586 0.51622 0.796 0.124 0.000 0.000 0.080 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 1 0.6414 -0.59250 0.368 0.364 0.000 0.252 0.000 0.016
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 5 0.6745 0.62398 0.116 0.344 0.000 0.000 0.440 0.100
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.2933 0.79468 0.000 0.004 0.796 0.000 0.000 0.200
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.5219 0.32472 0.552 0.108 0.000 0.000 0.000 0.340
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 17395 rows and 473 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 0.384 0.783 0.864 0.4752 0.507 0.507
#> 3 3 0.567 0.658 0.855 0.3157 0.631 0.401
#> 4 4 0.680 0.759 0.885 0.1621 0.723 0.388
#> 5 5 0.616 0.521 0.744 0.0826 0.798 0.413
#> 6 6 0.699 0.662 0.804 0.0420 0.895 0.571
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
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.2778 0.85953 0.952 0.048
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.7056 0.74009 0.808 0.192
#> 3BBC7540-136B-47C8-9C09-CD423685B742 1 0.9881 0.15802 0.564 0.436
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.6438 0.75380 0.836 0.164
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#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.6531 0.75084 0.832 0.168
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 1 0.2778 0.85953 0.952 0.048
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 2 0.0376 0.83702 0.004 0.996
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.0376 0.84159 0.996 0.004
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.6887 0.84959 0.184 0.816
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.7745 0.80679 0.228 0.772
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 1 0.2948 0.85902 0.948 0.052
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 1 0.6531 0.75084 0.832 0.168
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 1 0.0376 0.84499 0.996 0.004
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 2 0.0000 0.83491 0.000 1.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 2 0.6531 0.86068 0.168 0.832
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.0376 0.84499 0.996 0.004
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 1 0.2778 0.85953 0.952 0.048
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 1 0.2948 0.85902 0.948 0.052
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.8081 0.78247 0.248 0.752
#> 560C9030-5EF4-466E-9149-BFB8215A512A 2 0.0938 0.84006 0.012 0.988
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 2 0.5059 0.76713 0.112 0.888
#> DD8F70E2-3827-4603-8971-E420450D919C 1 0.8207 0.65247 0.744 0.256
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 1 0.8144 0.65877 0.748 0.252
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.7219 0.73557 0.800 0.200
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 1 0.4690 0.83077 0.900 0.100
#> 4877594A-03A8-4407-8F21-C133460DA44D 1 0.2948 0.85902 0.948 0.052
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.6531 0.75084 0.832 0.168
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.1843 0.85474 0.972 0.028
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.8144 0.77771 0.252 0.748
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.6531 0.86068 0.168 0.832
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.2603 0.85921 0.956 0.044
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.6531 0.86068 0.168 0.832
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 2 0.0000 0.83491 0.000 1.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.6531 0.86068 0.168 0.832
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 0.0672 0.84677 0.992 0.008
#> 62315297-B01F-4A7F-9C15-5B602099257F 2 0.3114 0.85366 0.056 0.944
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.6531 0.86068 0.168 0.832
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 1 0.3274 0.85596 0.940 0.060
#> D7791F51-5151-4E21-802F-F61EE07D626F 1 0.4431 0.83662 0.908 0.092
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.6531 0.86068 0.168 0.832
#> 1707CA8B-228E-49F9-B78A-A0171E853376 2 0.4022 0.85970 0.080 0.920
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 2 0.0000 0.83491 0.000 1.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.4939 0.78941 0.892 0.108
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 1 0.2778 0.85953 0.952 0.048
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 2 0.0000 0.83491 0.000 1.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.2948 0.85902 0.948 0.052
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.3879 0.84765 0.924 0.076
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.8861 0.65760 0.696 0.304
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 2 0.4431 0.86205 0.092 0.908
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 1 0.7139 0.73704 0.804 0.196
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.6531 0.86068 0.168 0.832
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 1 0.8327 0.67947 0.736 0.264
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.4815 0.86359 0.104 0.896
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.6531 0.86068 0.168 0.832
#> E36F2243-58F5-41A0-A673-DEAFE0267426 2 0.0376 0.83707 0.004 0.996
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.6531 0.75084 0.832 0.168
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.3114 0.85764 0.944 0.056
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 1 0.2948 0.85902 0.948 0.052
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.2236 0.80575 0.036 0.964
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 2 0.0376 0.83707 0.004 0.996
#> E5D94733-7D43-4021-8F57-4426EF183682 2 0.0672 0.83861 0.008 0.992
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.9944 0.30311 0.456 0.544
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.6973 0.69253 0.188 0.812
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.2603 0.85921 0.956 0.044
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 1 0.8081 0.66523 0.752 0.248
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.6531 0.75084 0.832 0.168
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.2778 0.85953 0.952 0.048
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.2948 0.85902 0.948 0.052
#> 85C38170-F2A0-4491-BFDB-38489204C015 1 0.5178 0.81844 0.884 0.116
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.2778 0.85953 0.952 0.048
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.3274 0.85603 0.940 0.060
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.2948 0.85902 0.948 0.052
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.9993 0.19796 0.484 0.516
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.6048 0.86409 0.148 0.852
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.2948 0.85902 0.948 0.052
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.0000 0.83491 0.000 1.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.2948 0.85902 0.948 0.052
#> F4142833-0749-44A4-B769-66262AA4A484 2 0.3733 0.78754 0.072 0.928
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.8081 0.78324 0.248 0.752
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.3584 0.85681 0.068 0.932
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.6973 0.84592 0.188 0.812
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.2603 0.85921 0.956 0.044
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.5737 0.86447 0.136 0.864
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 1 0.9970 0.01492 0.532 0.468
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.4562 0.84702 0.904 0.096
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.6531 0.86068 0.168 0.832
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.2948 0.85902 0.948 0.052
#> F17C0E73-4C34-4F82-8562-56985A59316C 1 0.8207 0.65247 0.744 0.256
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.0000 0.83491 0.000 1.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 1 0.7299 0.72697 0.796 0.204
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.6531 0.86068 0.168 0.832
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.0672 0.84071 0.992 0.008
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.0376 0.83707 0.004 0.996
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 2 0.2948 0.79254 0.052 0.948
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.2778 0.85953 0.952 0.048
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.2948 0.85902 0.948 0.052
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.6531 0.86068 0.168 0.832
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.6531 0.75084 0.832 0.168
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.5178 0.86447 0.116 0.884
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.2603 0.85921 0.956 0.044
#> 44A16F74-F823-4B27-AC3B-52526426199B 1 0.7883 0.68330 0.764 0.236
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.4815 0.79153 0.896 0.104
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.0376 0.83707 0.004 0.996
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.0000 0.84312 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.6180 0.29030 0.416 0.584 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.0747 0.77717 0.984 0.000 0.016
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.1964 0.79913 0.000 0.944 0.056
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.78461 1.000 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.5621 0.55221 0.000 0.692 0.308
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.88068 0.000 0.000 1.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.1643 0.79178 0.000 0.956 0.044
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.78461 1.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.6154 0.33674 0.592 0.408 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.1529 0.85396 0.000 0.040 0.960
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.2261 0.76101 0.932 0.068 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0000 0.81283 0.000 1.000 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.6937 0.20708 0.020 0.404 0.576
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.88068 0.000 0.000 1.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0000 0.78461 1.000 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.6126 0.35671 0.600 0.400 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.6154 0.36875 0.000 0.592 0.408
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 3 0.9256 -0.03313 0.156 0.400 0.444
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.6154 0.31331 0.408 0.592 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.6267 0.17416 0.452 0.548 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0000 0.81283 0.000 1.000 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.0000 0.88068 0.000 0.000 1.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.2537 0.78976 0.000 0.920 0.080
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.88068 0.000 0.000 1.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0000 0.78461 1.000 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.6126 0.35671 0.600 0.400 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.6667 0.39367 0.368 0.616 0.016
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.1163 0.80138 0.000 0.972 0.028
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.6280 0.17401 0.540 0.460 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.1163 0.80784 0.000 0.972 0.028
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.2165 0.79681 0.000 0.936 0.064
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.88068 0.000 0.000 1.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0000 0.88068 0.000 0.000 1.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.6154 0.33674 0.592 0.408 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0000 0.78461 1.000 0.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.6204 0.29250 0.576 0.424 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0000 0.88068 0.000 0.000 1.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.0000 0.81283 0.000 1.000 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0000 0.88068 0.000 0.000 1.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0000 0.88068 0.000 0.000 1.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.4974 0.65080 0.000 0.764 0.236
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 3 0.7681 0.30010 0.412 0.048 0.540
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.6126 0.35671 0.600 0.400 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.6126 0.35671 0.600 0.400 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.0000 0.78461 1.000 0.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.0000 0.78461 1.000 0.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.0000 0.81283 0.000 1.000 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0237 0.81201 0.004 0.996 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.0000 0.81283 0.000 1.000 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.3573 0.75388 0.120 0.876 0.004
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.0000 0.81283 0.000 1.000 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.0000 0.88068 0.000 0.000 1.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 2 0.6095 0.17114 0.000 0.608 0.392
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.3192 0.78544 0.000 0.112 0.888
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0000 0.88068 0.000 0.000 1.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.2400 0.76190 0.932 0.064 0.004
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.1643 0.77720 0.956 0.044 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.0000 0.81283 0.000 1.000 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 3 0.7187 -0.08346 0.024 0.480 0.496
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.1289 0.85980 0.032 0.000 0.968
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 3 0.6244 0.34019 0.440 0.000 0.560
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.0000 0.81283 0.000 1.000 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.1411 0.77504 0.964 0.036 0.000
#> B40B9470-990D-4443-8484-17266E829557 1 0.5948 0.48694 0.640 0.360 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.0000 0.78461 1.000 0.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 3 0.6225 0.35424 0.432 0.000 0.568
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.6421 0.32672 0.004 0.572 0.424
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.4047 0.72949 0.148 0.848 0.004
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.0000 0.81283 0.000 1.000 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0000 0.78461 1.000 0.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.1860 0.75229 0.948 0.000 0.052
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.5988 0.38400 0.368 0.632 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.6260 0.08121 0.448 0.552 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.6111 0.28279 0.396 0.604 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.0000 0.88068 0.000 0.000 1.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.0000 0.78461 1.000 0.000 0.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.4346 0.67579 0.816 0.184 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0000 0.88068 0.000 0.000 1.000
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#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 3 0.8808 0.05406 0.116 0.400 0.484
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.5733 0.32455 0.676 0.000 0.324
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.6126 0.35671 0.600 0.400 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.0000 0.81283 0.000 1.000 0.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0000 0.78461 1.000 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.6244 0.24323 0.560 0.440 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.6235 0.25622 0.564 0.436 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0000 0.81283 0.000 1.000 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.6168 0.32621 0.588 0.412 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.6291 0.11454 0.468 0.532 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.6126 0.33527 0.400 0.600 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.0000 0.81283 0.000 1.000 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.6111 0.25967 0.000 0.396 0.604
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.5733 0.49934 0.324 0.676 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.88068 0.000 0.000 1.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.4504 0.67802 0.196 0.804 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.6140 0.09225 0.596 0.000 0.404
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.0000 0.81283 0.000 1.000 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.88068 0.000 0.000 1.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.2261 0.79446 0.000 0.932 0.068
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.4974 0.61717 0.764 0.236 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.5016 0.61024 0.000 0.240 0.760
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.0000 0.81283 0.000 1.000 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.4555 0.65690 0.800 0.200 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.0000 0.81283 0.000 1.000 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.6192 0.27853 0.420 0.580 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.0000 0.81283 0.000 1.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.0000 0.88068 0.000 0.000 1.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.0000 0.81283 0.000 1.000 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.1860 0.80126 0.000 0.948 0.052
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.0000 0.78461 1.000 0.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0000 0.88068 0.000 0.000 1.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.1753 0.84912 0.048 0.000 0.952
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.6126 0.35671 0.600 0.400 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.6126 0.35671 0.600 0.400 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.2261 0.79446 0.000 0.932 0.068
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0000 0.78461 1.000 0.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.1411 0.85722 0.000 0.036 0.964
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.6286 0.25666 0.536 0.464 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.0000 0.81283 0.000 1.000 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0000 0.78461 1.000 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.88068 0.000 0.000 1.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.0000 0.78461 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.83621 0.000 1.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.2610 0.78448 0.088 0.900 0.012 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.3649 0.70858 0.000 0.796 0.000 0.204
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.77137 1.000 0.000 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.3529 0.74841 0.000 0.836 0.152 0.012
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0000 0.92281 0.000 0.000 0.000 1.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.3726 0.77358 0.788 0.212 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.0000 0.83621 0.000 1.000 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0469 0.76912 0.988 0.000 0.000 0.012
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.0707 0.91842 0.000 0.020 0.000 0.980
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.0592 0.83400 0.000 0.984 0.016 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.3610 0.77904 0.800 0.200 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.2973 0.73115 0.144 0.856 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.4193 0.63067 0.000 0.732 0.268 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.3157 0.76250 0.004 0.852 0.144 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0000 0.83621 0.000 1.000 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0000 0.83621 0.000 1.000 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 4 0.0817 0.91607 0.000 0.024 0.000 0.976
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0817 0.83104 0.000 0.976 0.000 0.024
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.4431 0.68329 0.696 0.304 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0469 0.83474 0.012 0.988 0.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0188 0.83588 0.000 0.996 0.000 0.004
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.0000 0.92281 0.000 0.000 0.000 1.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0000 0.83621 0.000 1.000 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.0707 0.91842 0.000 0.020 0.000 0.980
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.0188 0.92105 0.004 0.000 0.000 0.996
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0336 0.83415 0.008 0.992 0.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0188 0.77260 0.996 0.004 0.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0000 0.83621 0.000 1.000 0.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.0188 0.92285 0.000 0.004 0.000 0.996
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.6964 0.51497 0.000 0.584 0.188 0.228
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.0469 0.76912 0.988 0.000 0.000 0.012
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.0336 0.83525 0.008 0.992 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.0336 0.83415 0.008 0.992 0.000 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.3764 0.76937 0.784 0.216 0.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.0000 0.77137 1.000 0.000 0.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.0469 0.92151 0.000 0.012 0.000 0.988
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.3688 0.70503 0.000 0.792 0.000 0.208
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.0469 0.92151 0.000 0.012 0.000 0.988
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.0469 0.83522 0.000 0.988 0.000 0.012
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.0000 0.92281 0.000 0.000 0.000 1.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.4933 0.25723 0.000 0.000 0.568 0.432
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.0000 0.92281 0.000 0.000 0.000 1.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.2814 0.78954 0.000 0.132 0.868 0.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0469 0.76912 0.988 0.000 0.000 0.012
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.4713 0.21511 0.360 0.640 0.000 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.0000 0.92281 0.000 0.000 0.000 1.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.0921 0.83035 0.000 0.972 0.028 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.2469 0.82760 0.108 0.000 0.892 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.4855 0.30655 0.600 0.000 0.400 0.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.0000 0.92281 0.000 0.000 0.000 1.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.0000 0.77137 1.000 0.000 0.000 0.000
#> B40B9470-990D-4443-8484-17266E829557 1 0.4040 0.55989 0.752 0.248 0.000 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.3975 0.75113 0.760 0.240 0.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 2 0.5510 0.06661 0.016 0.504 0.480 0.000
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.3356 0.73476 0.000 0.824 0.176 0.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0000 0.83621 0.000 1.000 0.000 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 4 0.4585 0.44721 0.000 0.332 0.000 0.668
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.3688 0.77607 0.792 0.208 0.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.5010 0.70797 0.700 0.276 0.024 0.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0000 0.83621 0.000 1.000 0.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 1 0.3444 0.63141 0.816 0.000 0.000 0.184
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.4804 0.46303 0.384 0.616 0.000 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.0188 0.77260 0.996 0.004 0.000 0.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.4888 0.12871 0.588 0.412 0.000 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.3688 0.77541 0.792 0.208 0.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.3726 0.70430 0.000 0.788 0.000 0.212
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.0188 0.83588 0.000 0.996 0.000 0.004
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.4866 0.43198 0.404 0.596 0.000 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.0000 0.92281 0.000 0.000 0.000 1.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 4 0.3528 0.71665 0.192 0.000 0.000 0.808
#> EB5CF362-6974-4137-AC92-2051B1594E13 4 0.0000 0.92281 0.000 0.000 0.000 1.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.0000 0.92281 0.000 0.000 0.000 1.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0336 0.76998 0.992 0.000 0.000 0.008
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 4 0.0000 0.92281 0.000 0.000 0.000 1.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 4 0.0000 0.92281 0.000 0.000 0.000 1.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 4 0.4072 0.62306 0.000 0.000 0.252 0.748
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.3444 0.72583 0.000 0.816 0.000 0.184
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 4 0.4222 0.58818 0.000 0.000 0.272 0.728
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 2 0.0592 0.83091 0.016 0.984 0.000 0.000
#> 2C2589E0-2055-43AC-8001-1643839F80D4 3 0.0707 0.90949 0.000 0.020 0.980 0.000
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.3123 0.76029 0.000 0.156 0.844 0.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 4 0.6674 0.37003 0.300 0.116 0.000 0.584
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 2 0.0707 0.82897 0.020 0.980 0.000 0.000
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.4585 0.52763 0.000 0.668 0.332 0.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 4 0.0000 0.92281 0.000 0.000 0.000 1.000
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.0000 0.83621 0.000 1.000 0.000 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 1 0.3400 0.78677 0.820 0.180 0.000 0.000
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.3610 0.71212 0.000 0.800 0.000 0.200
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 1 0.0469 0.76912 0.988 0.000 0.000 0.012
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 3 0.2149 0.84190 0.088 0.000 0.912 0.000
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 4 0.0000 0.92281 0.000 0.000 0.000 1.000
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 2 0.0000 0.83621 0.000 1.000 0.000 0.000
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 1 0.3801 0.76677 0.780 0.220 0.000 0.000
#> A3AC663C-1578-4946-AED3-2FF9A739168E 4 0.0000 0.92281 0.000 0.000 0.000 1.000
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.2408 0.78910 0.000 0.896 0.104 0.000
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 3 0.3196 0.78771 0.136 0.000 0.856 0.008
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 1 0.5404 0.36552 0.644 0.328 0.000 0.028
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.4304 0.59178 0.000 0.000 0.716 0.284
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 2 0.0707 0.83157 0.020 0.980 0.000 0.000
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 4 0.0000 0.92281 0.000 0.000 0.000 1.000
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.0000 0.92633 0.000 0.000 1.000 0.000
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#> F4142833-0749-44A4-B769-66262AA4A484 1 0.3486 0.67230 0.812 0.000 0.188 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.0188 0.92285 0.000 0.004 0.000 0.996
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.3528 0.71904 0.000 0.808 0.000 0.192
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0592 0.83091 0.016 0.984 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.0336 0.92242 0.000 0.008 0.000 0.992
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.1637 0.80826 0.060 0.940 0.000 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0000 0.92281 0.000 0.000 0.000 1.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.83621 0.000 1.000 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.0000 0.92281 0.000 0.000 0.000 1.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.1151 0.90212 0.008 0.024 0.968 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.0000 0.92281 0.000 0.000 0.000 1.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.0188 0.92105 0.004 0.000 0.000 0.996
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.3569 0.63531 0.804 0.196 0.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.2647 0.81986 0.000 0.000 0.880 0.120
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.4941 0.21558 0.564 0.000 0.436 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.0188 0.83527 0.004 0.996 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0000 0.83621 0.000 1.000 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 4 0.4782 0.74185 0.000 0.068 0.152 0.780
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.3400 0.78603 0.820 0.180 0.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0188 0.92334 0.000 0.004 0.996 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.4679 0.52571 0.352 0.648 0.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.0921 0.91354 0.000 0.028 0.000 0.972
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.4331 0.70253 0.712 0.288 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.92633 0.000 0.000 1.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.1302 0.81643 0.044 0.956 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.4273 0.10019 0.552 0.448 0.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.1525 0.54031 0.948 0.012 0.004 0.000 0.036
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.1818 0.67880 0.044 0.932 0.000 0.024 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.4443 0.15333 0.472 0.004 0.000 0.000 0.524
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.5603 0.10775 0.452 0.476 0.072 0.000 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.87560 0.000 0.000 1.000 0.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0162 0.88056 0.000 0.004 0.000 0.996 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 5 0.5810 0.14432 0.428 0.092 0.000 0.000 0.480
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.2329 0.55781 0.876 0.124 0.000 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.3430 0.68015 0.220 0.000 0.776 0.004 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.0162 0.65913 0.000 0.004 0.000 0.000 0.996
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.3048 0.78375 0.004 0.176 0.000 0.820 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.5045 0.55851 0.196 0.696 0.108 0.000 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.87560 0.000 0.000 1.000 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.4644 0.11638 0.604 0.012 0.000 0.004 0.380
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.3421 0.54226 0.824 0.152 0.000 0.016 0.008
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 1 0.6824 -0.03631 0.344 0.332 0.324 0.000 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.5572 0.40811 0.644 0.192 0.164 0.000 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.3913 0.34964 0.676 0.324 0.000 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.4297 0.10633 0.472 0.528 0.000 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 4 0.3551 0.73197 0.008 0.220 0.000 0.772 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.3737 0.68488 0.224 0.004 0.764 0.000 0.008
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.2848 0.63885 0.156 0.840 0.004 0.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.87560 0.000 0.000 1.000 0.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.5812 -0.07136 0.476 0.092 0.000 0.000 0.432
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.4066 0.36600 0.672 0.324 0.000 0.000 0.004
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.2488 0.64053 0.124 0.872 0.000 0.004 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.0162 0.87905 0.000 0.004 0.000 0.996 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.2813 0.53308 0.832 0.168 0.000 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.4397 0.32993 0.004 0.432 0.000 0.564 0.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.1717 0.87730 0.000 0.052 0.004 0.936 0.008
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.87560 0.000 0.000 1.000 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.3635 0.63641 0.248 0.004 0.748 0.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.4030 0.35731 0.648 0.352 0.000 0.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.4029 0.41398 0.316 0.004 0.000 0.000 0.680
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.4088 0.29666 0.632 0.368 0.000 0.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0000 0.87560 0.000 0.000 1.000 0.000 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.0566 0.87566 0.012 0.004 0.000 0.984 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0000 0.87560 0.000 0.000 1.000 0.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0000 0.87560 0.000 0.000 1.000 0.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 4 0.6030 0.14130 0.392 0.076 0.016 0.516 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.0000 0.65986 0.000 0.000 0.000 0.000 1.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.3003 0.52471 0.812 0.188 0.000 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.2852 0.53501 0.828 0.172 0.000 0.000 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.5019 0.06159 0.568 0.036 0.000 0.000 0.396
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.0162 0.65904 0.000 0.004 0.000 0.000 0.996
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.2864 0.80809 0.012 0.136 0.000 0.852 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.4444 0.62623 0.156 0.756 0.000 0.088 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.1430 0.85725 0.052 0.004 0.000 0.944 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.5690 0.37947 0.624 0.224 0.000 0.152 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.1410 0.87428 0.000 0.060 0.000 0.940 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 4 0.3360 0.74744 0.012 0.004 0.168 0.816 0.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.0794 0.88170 0.000 0.028 0.000 0.972 0.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.4136 0.65853 0.188 0.048 0.764 0.000 0.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0000 0.87560 0.000 0.000 1.000 0.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.0000 0.65986 0.000 0.000 0.000 0.000 1.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.4367 0.53488 0.192 0.748 0.000 0.000 0.060
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.1410 0.87398 0.000 0.060 0.000 0.940 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.6316 0.20682 0.356 0.480 0.164 0.000 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.4060 0.68167 0.052 0.004 0.788 0.000 0.156
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.6580 0.10632 0.552 0.008 0.084 0.036 0.320
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.1197 0.87800 0.000 0.048 0.000 0.952 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 5 0.0162 0.65858 0.004 0.000 0.000 0.000 0.996
#> B40B9470-990D-4443-8484-17266E829557 5 0.4697 0.29784 0.032 0.320 0.000 0.000 0.648
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 5 0.5604 0.09539 0.460 0.072 0.000 0.000 0.468
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 1 0.4044 0.41669 0.732 0.004 0.252 0.000 0.012
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 1 0.6204 0.21107 0.524 0.312 0.164 0.000 0.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.3266 0.61083 0.200 0.796 0.000 0.004 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.4232 0.45530 0.012 0.676 0.000 0.312 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 5 0.5434 0.12750 0.452 0.048 0.004 0.000 0.496
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.4879 0.25858 0.680 0.024 0.000 0.020 0.276
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.3790 0.53483 0.272 0.724 0.000 0.004 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 5 0.5068 0.31583 0.000 0.300 0.000 0.060 0.640
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.6229 0.34325 0.268 0.540 0.000 0.000 0.192
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.0000 0.87560 0.000 0.000 1.000 0.000 0.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 5 0.0000 0.65986 0.000 0.000 0.000 0.000 1.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.6146 0.18696 0.468 0.132 0.000 0.000 0.400
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0000 0.87560 0.000 0.000 1.000 0.000 0.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.5103 -0.05115 0.512 0.036 0.000 0.000 0.452
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.2124 0.66804 0.004 0.900 0.000 0.096 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.1197 0.67417 0.000 0.952 0.000 0.048 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 5 0.5475 0.21824 0.088 0.308 0.000 0.000 0.604
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0162 0.87368 0.000 0.004 0.996 0.000 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.1341 0.87793 0.000 0.056 0.000 0.944 0.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 4 0.2124 0.81267 0.004 0.000 0.000 0.900 0.096
#> EB5CF362-6974-4137-AC92-2051B1594E13 4 0.0579 0.87594 0.008 0.008 0.000 0.984 0.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.0693 0.88009 0.008 0.012 0.000 0.980 0.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 5 0.0000 0.65986 0.000 0.000 0.000 0.000 1.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 4 0.0609 0.88153 0.000 0.020 0.000 0.980 0.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 4 0.1671 0.86657 0.000 0.076 0.000 0.924 0.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 4 0.1757 0.85887 0.012 0.004 0.048 0.936 0.000
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.2077 0.67211 0.084 0.908 0.000 0.008 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.0000 0.87560 0.000 0.000 1.000 0.000 0.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 4 0.2694 0.80625 0.008 0.008 0.108 0.876 0.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.1597 0.55712 0.940 0.048 0.000 0.000 0.012
#> 2C2589E0-2055-43AC-8001-1643839F80D4 1 0.4438 0.21955 0.608 0.004 0.384 0.000 0.004
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.3039 0.74711 0.012 0.152 0.836 0.000 0.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 1 0.6272 0.14521 0.508 0.020 0.000 0.380 0.092
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 1 0.2249 0.56945 0.896 0.096 0.000 0.000 0.008
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.5802 0.27303 0.096 0.516 0.388 0.000 0.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 4 0.0324 0.87883 0.004 0.004 0.000 0.992 0.000
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.2179 0.66670 0.100 0.896 0.000 0.004 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 5 0.5220 0.15823 0.440 0.044 0.000 0.000 0.516
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.1725 0.67954 0.020 0.936 0.000 0.044 0.000
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 5 0.0162 0.65913 0.000 0.004 0.000 0.000 0.996
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 3 0.2471 0.75917 0.000 0.000 0.864 0.000 0.136
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 4 0.1671 0.86657 0.000 0.076 0.000 0.924 0.000
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 2 0.3636 0.53737 0.272 0.728 0.000 0.000 0.000
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 1 0.4193 0.24899 0.684 0.012 0.000 0.000 0.304
#> A3AC663C-1578-4946-AED3-2FF9A739168E 4 0.0671 0.87417 0.016 0.004 0.000 0.980 0.000
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.3967 0.52988 0.264 0.724 0.012 0.000 0.000
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 3 0.5602 0.55944 0.000 0.004 0.648 0.216 0.132
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.0324 0.87233 0.000 0.004 0.992 0.004 0.000
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.2377 0.77895 0.000 0.128 0.872 0.000 0.000
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 5 0.5111 0.18452 0.012 0.376 0.000 0.024 0.588
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.4397 0.23839 0.000 0.004 0.564 0.432 0.000
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 1 0.2439 0.55869 0.876 0.120 0.000 0.000 0.004
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 4 0.0290 0.88113 0.000 0.008 0.000 0.992 0.000
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.0000 0.87560 0.000 0.000 1.000 0.000 0.000
#> 4ED692EB-E194-49D7-9222-6232051426E5 2 0.4192 0.23631 0.000 0.596 0.000 0.404 0.000
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 1 0.3399 0.43204 0.812 0.020 0.000 0.000 0.168
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.1430 0.84643 0.000 0.004 0.944 0.052 0.000
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 1 0.3242 0.50656 0.784 0.216 0.000 0.000 0.000
#> 64B33223-EB30-49ED-A3D8-5AC598845465 2 0.5237 0.40851 0.000 0.628 0.072 0.300 0.000
#> 21599029-B6C9-4385-B87C-FDB99F956118 4 0.1386 0.88011 0.000 0.032 0.016 0.952 0.000
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#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.4696 0.02089 0.556 0.016 0.000 0.000 0.428
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.2891 0.53400 0.824 0.176 0.000 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.2173 0.52787 0.920 0.012 0.000 0.052 0.016
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.2179 0.66709 0.100 0.896 0.000 0.004 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.4497 0.16528 0.568 0.424 0.000 0.000 0.008
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.3876 0.36152 0.684 0.316 0.000 0.000 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.4256 0.23574 0.436 0.564 0.000 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.0324 0.87823 0.004 0.004 0.000 0.992 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.5487 0.49902 0.100 0.280 0.620 0.000 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.1544 0.67338 0.068 0.932 0.000 0.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.87560 0.000 0.000 1.000 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.4815 0.52738 0.244 0.692 0.000 0.064 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 5 0.5427 0.10176 0.476 0.024 0.020 0.000 0.480
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.3480 0.69414 0.000 0.248 0.000 0.752 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.87560 0.000 0.000 1.000 0.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.1857 0.67717 0.060 0.928 0.004 0.008 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.3730 0.44976 0.712 0.288 0.000 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.4350 0.19655 0.000 0.588 0.408 0.004 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.0510 0.88156 0.000 0.016 0.000 0.984 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.0955 0.55888 0.968 0.028 0.004 0.000 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.1478 0.87337 0.000 0.064 0.000 0.936 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.4045 0.39197 0.356 0.644 0.000 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.0963 0.88077 0.000 0.036 0.000 0.964 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 1 0.4815 -0.11142 0.504 0.000 0.480 0.008 0.008
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.2377 0.83165 0.000 0.128 0.000 0.872 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.0693 0.87450 0.012 0.008 0.000 0.980 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 5 0.4770 0.24884 0.320 0.036 0.000 0.000 0.644
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.4449 0.36085 0.004 0.004 0.604 0.388 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.6117 0.15037 0.104 0.008 0.512 0.000 0.376
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.2966 0.52202 0.816 0.184 0.000 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.3774 0.38862 0.704 0.296 0.000 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.6509 0.23481 0.012 0.504 0.148 0.336 0.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.4700 -0.07805 0.516 0.004 0.000 0.008 0.472
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0162 0.87370 0.000 0.004 0.996 0.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 5 0.5641 -0.06780 0.076 0.436 0.000 0.000 0.488
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.3661 0.47729 0.000 0.724 0.000 0.276 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.4957 0.17477 0.624 0.044 0.000 0.000 0.332
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.87560 0.000 0.000 1.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.2426 0.51843 0.900 0.036 0.000 0.000 0.064
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.5312 0.48418 0.576 0.304 0.000 0.000 0.004 0.116
#> 27496AAB-AC06-4100-BB41-0029F63CC678 6 0.2340 0.68493 0.148 0.000 0.000 0.000 0.000 0.852
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.2009 0.76833 0.084 0.904 0.000 0.004 0.008 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 6 0.0713 0.76740 0.000 0.000 0.000 0.000 0.028 0.972
#> 82DA87CF-C067-44B3-A372-ECB056337B08 1 0.3808 0.60530 0.792 0.112 0.088 0.000 0.008 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.89795 0.000 0.000 1.000 0.000 0.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.2213 0.84430 0.044 0.004 0.000 0.904 0.048 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 6 0.2429 0.73100 0.008 0.064 0.004 0.000 0.028 0.896
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.3838 0.32489 0.552 0.000 0.000 0.000 0.000 0.448
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.3653 0.58419 0.300 0.000 0.692 0.000 0.008 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.1957 0.91213 0.000 0.000 0.000 0.000 0.888 0.112
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.2553 0.77740 0.000 0.144 0.000 0.848 0.008 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.4426 0.56752 0.264 0.684 0.044 0.000 0.004 0.004
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0146 0.89696 0.004 0.000 0.996 0.000 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 6 0.0937 0.76111 0.040 0.000 0.000 0.000 0.000 0.960
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.3756 0.49912 0.644 0.000 0.000 0.004 0.000 0.352
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 1 0.5317 0.46573 0.580 0.104 0.308 0.000 0.008 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.5546 0.60998 0.640 0.036 0.104 0.000 0.004 0.216
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.3933 0.62663 0.740 0.040 0.000 0.000 0.004 0.216
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.6087 -0.07582 0.324 0.456 0.000 0.000 0.008 0.212
#> E8385A24-9459-4D47-9147-3A628D1A213D 4 0.5877 0.58802 0.256 0.168 0.000 0.556 0.020 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.3996 0.69316 0.080 0.000 0.752 0.000 0.000 0.168
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.3652 0.56928 0.324 0.672 0.000 0.000 0.004 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0146 0.89851 0.004 0.000 0.996 0.000 0.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 6 0.2412 0.72767 0.000 0.092 0.000 0.000 0.028 0.880
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.5336 0.59173 0.596 0.140 0.000 0.000 0.004 0.260
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.1732 0.77189 0.072 0.920 0.000 0.000 0.004 0.004
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.2586 0.84141 0.080 0.008 0.000 0.880 0.032 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.3797 0.57629 0.692 0.016 0.000 0.000 0.000 0.292
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.5451 -0.04632 0.012 0.484 0.000 0.420 0.084 0.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.1836 0.83991 0.012 0.028 0.004 0.936 0.012 0.008
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0146 0.89696 0.004 0.000 0.996 0.000 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.4195 0.58265 0.200 0.000 0.724 0.000 0.000 0.076
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 6 0.5812 0.10810 0.264 0.192 0.000 0.000 0.008 0.536
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 6 0.2664 0.61128 0.000 0.000 0.000 0.000 0.184 0.816
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.5383 0.59611 0.596 0.156 0.000 0.000 0.004 0.244
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0146 0.89851 0.004 0.000 0.996 0.000 0.000 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.2704 0.82500 0.140 0.000 0.000 0.844 0.016 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0146 0.89851 0.004 0.000 0.996 0.000 0.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0146 0.89851 0.004 0.000 0.996 0.000 0.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 1 0.4935 0.37363 0.632 0.012 0.000 0.308 0.020 0.028
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.1957 0.91213 0.000 0.000 0.000 0.000 0.888 0.112
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.4212 0.37990 0.560 0.016 0.000 0.000 0.000 0.424
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.4314 0.34117 0.536 0.020 0.000 0.000 0.000 0.444
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 6 0.0806 0.76731 0.020 0.008 0.000 0.000 0.000 0.972
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.1957 0.91213 0.000 0.000 0.000 0.000 0.888 0.112
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.5809 0.65151 0.304 0.052 0.000 0.564 0.080 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.4410 -0.27607 0.508 0.472 0.000 0.008 0.012 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.2703 0.80625 0.172 0.000 0.000 0.824 0.004 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.3893 0.61733 0.768 0.000 0.000 0.092 0.000 0.140
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.2216 0.83422 0.016 0.052 0.000 0.908 0.024 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 4 0.2307 0.83299 0.032 0.000 0.048 0.904 0.016 0.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.0291 0.84731 0.000 0.004 0.000 0.992 0.004 0.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 1 0.4009 0.24730 0.632 0.004 0.356 0.000 0.008 0.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0000 0.89795 0.000 0.000 1.000 0.000 0.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.1957 0.91213 0.000 0.000 0.000 0.000 0.888 0.112
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.3128 0.68460 0.008 0.812 0.000 0.000 0.012 0.168
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.1194 0.84376 0.004 0.032 0.000 0.956 0.008 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 1 0.5916 0.38460 0.500 0.240 0.256 0.000 0.004 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.3944 0.30677 0.004 0.000 0.568 0.000 0.000 0.428
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 6 0.1917 0.75275 0.016 0.000 0.016 0.036 0.004 0.928
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.0972 0.84566 0.000 0.028 0.000 0.964 0.008 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 5 0.1957 0.91213 0.000 0.000 0.000 0.000 0.888 0.112
#> B40B9470-990D-4443-8484-17266E829557 5 0.3426 0.70018 0.004 0.220 0.000 0.000 0.764 0.012
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 6 0.2510 0.70403 0.000 0.100 0.000 0.000 0.028 0.872
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 6 0.5085 0.40561 0.272 0.000 0.120 0.000 0.000 0.608
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 1 0.6437 0.59266 0.576 0.148 0.176 0.000 0.004 0.096
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.3619 0.51407 0.316 0.680 0.000 0.000 0.004 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.4442 0.69272 0.116 0.732 0.000 0.144 0.008 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 6 0.1546 0.76266 0.004 0.020 0.004 0.000 0.028 0.944
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 6 0.2070 0.74235 0.100 0.000 0.000 0.000 0.008 0.892
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.3411 0.63870 0.232 0.756 0.000 0.000 0.004 0.008
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 5 0.2474 0.86602 0.000 0.080 0.000 0.004 0.884 0.032
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.7684 0.16802 0.248 0.452 0.000 0.104 0.056 0.140
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.0870 0.89121 0.004 0.012 0.972 0.000 0.012 0.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 5 0.2048 0.90720 0.000 0.000 0.000 0.000 0.880 0.120
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.4880 0.38652 0.564 0.004 0.000 0.000 0.376 0.056
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0146 0.89851 0.004 0.000 0.996 0.000 0.000 0.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 6 0.1003 0.76824 0.000 0.016 0.000 0.000 0.020 0.964
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.1605 0.77554 0.016 0.940 0.000 0.032 0.012 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.1312 0.77725 0.012 0.956 0.000 0.020 0.008 0.004
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 5 0.2301 0.83240 0.020 0.096 0.000 0.000 0.884 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0551 0.89324 0.008 0.000 0.984 0.004 0.004 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.1801 0.83750 0.012 0.040 0.004 0.932 0.012 0.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 4 0.3948 0.80907 0.104 0.016 0.000 0.796 0.080 0.004
#> EB5CF362-6974-4137-AC92-2051B1594E13 4 0.0935 0.84594 0.032 0.000 0.000 0.964 0.004 0.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.1536 0.84568 0.024 0.012 0.000 0.944 0.020 0.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 5 0.1957 0.91213 0.000 0.000 0.000 0.000 0.888 0.112
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 4 0.0508 0.84607 0.012 0.000 0.000 0.984 0.004 0.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 4 0.2002 0.83364 0.012 0.052 0.004 0.920 0.012 0.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 4 0.1788 0.84181 0.040 0.000 0.028 0.928 0.004 0.000
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.2100 0.75306 0.112 0.884 0.000 0.000 0.004 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.0146 0.89851 0.004 0.000 0.996 0.000 0.000 0.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 4 0.4832 0.63741 0.092 0.000 0.216 0.680 0.012 0.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 6 0.3266 0.50680 0.272 0.000 0.000 0.000 0.000 0.728
#> 2C2589E0-2055-43AC-8001-1643839F80D4 6 0.4716 0.52300 0.184 0.000 0.136 0.000 0.000 0.680
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.2250 0.83904 0.092 0.020 0.888 0.000 0.000 0.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 1 0.6603 0.09109 0.512 0.012 0.000 0.100 0.076 0.300
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 6 0.3543 0.49231 0.272 0.004 0.000 0.000 0.004 0.720
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.5721 0.35859 0.160 0.508 0.328 0.000 0.004 0.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 4 0.3571 0.81929 0.096 0.012 0.000 0.816 0.076 0.000
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.1843 0.76801 0.080 0.912 0.000 0.000 0.004 0.004
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 6 0.1341 0.76387 0.000 0.024 0.000 0.000 0.028 0.948
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.1429 0.77719 0.052 0.940 0.000 0.004 0.004 0.000
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 5 0.1957 0.91213 0.000 0.000 0.000 0.000 0.888 0.112
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#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.1148 0.77449 0.000 0.960 0.000 0.004 0.020 0.016
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.1908 0.83668 0.096 0.000 0.000 0.900 0.004 0.000
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 4 0.5072 0.76528 0.172 0.020 0.012 0.708 0.084 0.004
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 6 0.3868 -0.15838 0.492 0.000 0.000 0.000 0.000 0.508
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.1015 0.84456 0.012 0.012 0.004 0.968 0.004 0.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0146 0.89851 0.004 0.000 0.996 0.000 0.000 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.4873 0.55043 0.164 0.156 0.676 0.000 0.004 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.4736 0.40089 0.024 0.608 0.000 0.000 0.024 0.344
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0291 0.89602 0.004 0.000 0.992 0.000 0.004 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.0713 0.84728 0.028 0.000 0.000 0.972 0.000 0.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.4667 0.30953 0.000 0.008 0.000 0.536 0.428 0.028
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.2302 0.73497 0.000 0.872 0.000 0.120 0.008 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.2118 0.74611 0.000 0.888 0.000 0.104 0.008 0.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0146 0.89851 0.004 0.000 0.996 0.000 0.000 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.0767 0.89315 0.008 0.000 0.976 0.012 0.000 0.004
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.5809 0.06912 0.072 0.468 0.000 0.004 0.032 0.424
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.0767 0.77529 0.004 0.976 0.000 0.012 0.008 0.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0146 0.89851 0.004 0.000 0.996 0.000 0.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.1657 0.62736 0.928 0.016 0.000 0.000 0.000 0.056
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.4109 0.43016 0.596 0.000 0.000 0.008 0.004 0.392
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 6 0.4950 0.26380 0.008 0.364 0.016 0.000 0.028 0.584
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0291 0.89602 0.004 0.000 0.992 0.000 0.004 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.1075 0.84619 0.048 0.000 0.000 0.952 0.000 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.1453 0.83931 0.008 0.040 0.000 0.944 0.008 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 6 0.3499 0.40434 0.320 0.000 0.000 0.000 0.000 0.680
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0146 0.89851 0.004 0.000 0.996 0.000 0.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.5319 0.51919 0.044 0.656 0.000 0.216 0.084 0.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0146 0.89851 0.004 0.000 0.996 0.000 0.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 6 0.0363 0.76975 0.000 0.000 0.000 0.000 0.012 0.988
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.4979 0.61165 0.648 0.116 0.000 0.000 0.004 0.232
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.2037 0.77299 0.012 0.924 0.000 0.036 0.016 0.012
#> 2798DEF8-A841-4068-B3FC-76D57605235A 6 0.3466 0.59901 0.224 0.000 0.008 0.008 0.000 0.760
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0146 0.89785 0.000 0.004 0.996 0.000 0.000 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0146 0.89851 0.004 0.000 0.996 0.000 0.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 0.6348 0.33291 0.452 0.248 0.284 0.000 0.004 0.012
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 6 0.5254 0.17793 0.012 0.068 0.396 0.000 0.000 0.524
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.5739 0.50285 0.580 0.200 0.000 0.000 0.204 0.016
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.4341 0.78602 0.152 0.016 0.000 0.748 0.084 0.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 6 0.0603 0.76818 0.016 0.000 0.000 0.000 0.004 0.980
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 6 0.4310 -0.16695 0.472 0.012 0.000 0.000 0.004 0.512
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 6 0.4199 0.45822 0.292 0.000 0.000 0.024 0.008 0.676
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.2738 0.71110 0.176 0.820 0.000 0.000 0.004 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.5904 0.52391 0.500 0.272 0.000 0.000 0.004 0.224
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.4164 0.62604 0.728 0.040 0.000 0.000 0.012 0.220
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.4315 -0.00767 0.488 0.496 0.000 0.000 0.004 0.012
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.2147 0.84459 0.084 0.000 0.000 0.896 0.020 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.5889 0.48963 0.004 0.188 0.572 0.000 0.016 0.220
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.1555 0.77544 0.060 0.932 0.000 0.000 0.004 0.004
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0146 0.89696 0.004 0.000 0.996 0.000 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.5747 0.61047 0.116 0.656 0.000 0.164 0.012 0.052
#> F4142833-0749-44A4-B769-66262AA4A484 6 0.1294 0.76629 0.004 0.008 0.008 0.000 0.024 0.956
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.4296 0.21076 0.008 0.440 0.000 0.544 0.008 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0146 0.89851 0.004 0.000 0.996 0.000 0.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.1807 0.77706 0.060 0.920 0.000 0.000 0.020 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.5947 0.34927 0.408 0.184 0.000 0.000 0.004 0.404
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.2805 0.68044 0.000 0.812 0.184 0.000 0.004 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.2414 0.85094 0.044 0.028 0.000 0.900 0.028 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 6 0.3756 0.31666 0.352 0.000 0.000 0.000 0.004 0.644
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.2627 0.83882 0.016 0.036 0.000 0.884 0.064 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.4151 0.21809 0.576 0.412 0.000 0.000 0.008 0.004
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.3652 0.82273 0.072 0.028 0.000 0.820 0.080 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 1 0.5807 0.42036 0.476 0.000 0.324 0.000 0.000 0.200
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.4023 0.73322 0.008 0.188 0.000 0.752 0.052 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.1408 0.84468 0.036 0.000 0.000 0.944 0.020 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 5 0.3388 0.70607 0.172 0.000 0.000 0.000 0.792 0.036
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 4 0.4250 0.15173 0.016 0.000 0.456 0.528 0.000 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 6 0.4313 0.25735 0.004 0.000 0.372 0.000 0.020 0.604
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.4161 0.51505 0.632 0.016 0.000 0.000 0.004 0.348
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.4131 0.59287 0.688 0.040 0.000 0.000 0.000 0.272
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.8244 0.05810 0.296 0.324 0.136 0.184 0.060 0.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 6 0.0914 0.76720 0.016 0.000 0.000 0.016 0.000 0.968
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0363 0.89560 0.012 0.000 0.988 0.000 0.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 5 0.4438 0.41587 0.044 0.328 0.000 0.000 0.628 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.3484 0.72646 0.020 0.828 0.000 0.064 0.088 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 6 0.0508 0.76828 0.012 0.004 0.000 0.000 0.000 0.984
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0146 0.89851 0.004 0.000 0.996 0.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 6 0.2003 0.71373 0.116 0.000 0.000 0.000 0.000 0.884
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 17395 rows and 473 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 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 0.683 0.755 0.931 0.128 0.992 0.992
#> 3 3 0.348 0.727 0.868 1.212 0.811 0.810
#> 4 4 0.357 0.609 0.826 0.455 0.807 0.760
#> 5 5 0.308 0.580 0.780 0.253 0.878 0.803
#> 6 6 0.301 0.559 0.767 0.113 0.932 0.868
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
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.88902 0.000 1.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.0000 0.88902 0.000 1.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0376 0.88656 0.004 0.996
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.5629 0.71667 0.132 0.868
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0000 0.88902 0.000 1.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.0376 0.88666 0.004 0.996
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.1414 0.87352 0.020 0.980
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.0000 0.88902 0.000 1.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.0000 0.88902 0.000 1.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.0000 0.88902 0.000 1.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 2 0.9552 0.18685 0.376 0.624
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.2603 0.84724 0.044 0.956
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.0000 0.88902 0.000 1.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.0672 0.88385 0.008 0.992
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.0000 0.88902 0.000 1.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.0000 0.88902 0.000 1.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.0000 0.88902 0.000 1.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.0000 0.88902 0.000 1.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0000 0.88902 0.000 1.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0000 0.88902 0.000 1.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.6343 0.65034 0.160 0.840
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.0000 0.88902 0.000 1.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0000 0.88902 0.000 1.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 2 0.0000 0.88902 0.000 1.000
#> 032E0758-7A5B-405B-88D3-74C527605780 2 0.0000 0.88902 0.000 1.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0672 0.88351 0.008 0.992
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0000 0.88902 0.000 1.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.4431 0.77736 0.092 0.908
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0000 0.88902 0.000 1.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.0376 0.88656 0.004 0.996
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.7453 0.51572 0.212 0.788
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.0672 0.88385 0.008 0.992
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.0376 0.88674 0.004 0.996
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0376 0.88674 0.004 0.996
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 2 0.8813 0.37553 0.300 0.700
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0000 0.88902 0.000 1.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.1184 0.87603 0.016 0.984
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.4161 0.78990 0.084 0.916
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#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 2 0.0000 0.88902 0.000 1.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 2 0.0672 0.88385 0.008 0.992
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.5178 0.73689 0.116 0.884
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.8909 0.13543 0.308 0.692
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.0000 0.88902 0.000 1.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.0000 0.88902 0.000 1.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.0000 0.88902 0.000 1.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 2 0.0000 0.88902 0.000 1.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 2 0.0000 0.88902 0.000 1.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.0000 0.88902 0.000 1.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0000 0.88902 0.000 1.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.0000 0.88902 0.000 1.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 2 0.0000 0.88902 0.000 1.000
#> E5D94733-7D43-4021-8F57-4426EF183682 2 0.0000 0.88902 0.000 1.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.0000 0.88902 0.000 1.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.0000 0.88902 0.000 1.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.5629 0.71656 0.132 0.868
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.0000 0.88902 0.000 1.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 2 0.0000 0.88902 0.000 1.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0376 0.88674 0.004 0.996
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0000 0.88902 0.000 1.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0672 0.88379 0.008 0.992
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.1184 0.87602 0.016 0.984
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.0000 0.88902 0.000 1.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.88902 0.000 1.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.5842 0.69237 0.140 0.860
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.0000 0.88902 0.000 1.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.88902 0.000 1.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.0672 0.88385 0.008 0.992
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0000 0.88902 0.000 1.000
#> F4142833-0749-44A4-B769-66262AA4A484 2 0.0000 0.88902 0.000 1.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.8267 0.34789 0.260 0.740
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.0000 0.88902 0.000 1.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.0000 0.88902 0.000 1.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0000 0.88902 0.000 1.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.0000 0.88902 0.000 1.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.6048 0.67685 0.148 0.852
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.0000 0.88902 0.000 1.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.9129 0.01982 0.328 0.672
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0672 0.88351 0.008 0.992
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.6048 0.67602 0.148 0.852
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.0000 0.88902 0.000 1.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 1 0.9552 1.00000 0.624 0.376
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.0672 0.88380 0.008 0.992
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.9552 0.18685 0.376 0.624
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.0000 0.88902 0.000 1.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 2 0.0000 0.88902 0.000 1.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.0000 0.88902 0.000 1.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0000 0.88902 0.000 1.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.0000 0.88902 0.000 1.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.1843 0.86530 0.028 0.972
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.0000 0.88902 0.000 1.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.8713 0.39412 0.292 0.708
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.0672 0.88379 0.008 0.992
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.0000 0.88902 0.000 1.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.0000 0.88902 0.000 1.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.0000 0.88902 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.8353 0.000 1.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.1529 0.8345 0.040 0.960 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.1267 0.8368 0.024 0.972 0.004
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.4966 0.6227 0.100 0.840 0.060
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.2066 0.8291 0.060 0.940 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.5812 0.6057 0.264 0.724 0.012
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.5094 0.7594 0.136 0.824 0.040
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.0237 0.8361 0.004 0.996 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.0000 0.8353 0.000 1.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.4062 0.7611 0.164 0.836 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.5178 0.8898 0.744 0.256 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.5371 0.7415 0.140 0.812 0.048
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.1411 0.8350 0.036 0.964 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.5656 0.6105 0.264 0.728 0.008
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.0000 0.8353 0.000 1.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.0000 0.8353 0.000 1.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.2165 0.8274 0.064 0.936 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.1753 0.8322 0.048 0.952 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0000 0.8353 0.000 1.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0000 0.8353 0.000 1.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.5178 0.4421 0.000 0.744 0.256
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.3879 0.7719 0.152 0.848 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.1411 0.8357 0.036 0.964 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 2 0.3879 0.7741 0.152 0.848 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 2 0.0000 0.8353 0.000 1.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0424 0.8332 0.000 0.992 0.008
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0237 0.8361 0.004 0.996 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.5944 0.6478 0.064 0.784 0.152
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0000 0.8353 0.000 1.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.1774 0.8348 0.024 0.960 0.016
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.8238 0.0235 0.104 0.596 0.300
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.5656 0.6105 0.264 0.728 0.008
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.5404 0.6327 0.256 0.740 0.004
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0237 0.8347 0.000 0.996 0.004
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 2 0.7980 -0.2735 0.356 0.572 0.072
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0000 0.8353 0.000 1.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.5848 0.5999 0.268 0.720 0.012
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.5625 0.7117 0.076 0.808 0.116
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.5058 0.6590 0.244 0.756 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.5178 0.6380 0.256 0.744 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.0747 0.8369 0.016 0.984 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.5178 0.8898 0.744 0.256 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.0237 0.8361 0.004 0.996 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.0747 0.8367 0.016 0.984 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.0000 0.8353 0.000 1.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.5591 0.8467 0.696 0.304 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.4842 0.5511 0.000 0.776 0.224
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0000 0.8353 0.000 1.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.4692 0.6620 0.012 0.820 0.168
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.0424 0.8368 0.008 0.992 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 3 0.6192 0.7441 0.000 0.420 0.580
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.4531 0.7524 0.168 0.824 0.008
#> FE2C169A-E41F-45EB-B61E-776493069D78 2 0.5695 0.7067 0.076 0.804 0.120
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.3500 0.8014 0.116 0.880 0.004
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.5178 0.6380 0.256 0.744 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.5178 0.8898 0.744 0.256 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.0000 0.8353 0.000 1.000 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 3 0.2356 0.2119 0.000 0.072 0.928
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.3267 0.8007 0.116 0.884 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 2 0.4002 0.7655 0.160 0.840 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 2 0.2878 0.8130 0.096 0.904 0.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 3 0.6286 0.6157 0.000 0.464 0.536
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.5591 0.8467 0.696 0.304 0.000
#> B40B9470-990D-4443-8484-17266E829557 1 0.5873 0.8355 0.684 0.312 0.004
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 2 0.0000 0.8353 0.000 1.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 2 0.2165 0.8277 0.064 0.936 0.000
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.1964 0.8308 0.056 0.944 0.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0000 0.8353 0.000 1.000 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.0892 0.8307 0.000 0.980 0.020
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 2 0.0000 0.8353 0.000 1.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 2 0.2959 0.8111 0.100 0.900 0.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0000 0.8353 0.000 1.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 1 0.5254 0.8865 0.736 0.264 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.3406 0.7503 0.068 0.904 0.028
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 2 0.3784 0.7884 0.132 0.864 0.004
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.8208 0.4671 0.476 0.452 0.072
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.7797 -0.1231 0.320 0.608 0.072
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 2 0.5216 0.6314 0.260 0.740 0.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 2 0.0000 0.8353 0.000 1.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.0000 0.8353 0.000 1.000 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.0000 0.8353 0.000 1.000 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 1 0.5929 0.8210 0.676 0.320 0.004
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 2 0.5656 0.6105 0.264 0.728 0.008
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 3 0.6490 0.7567 0.012 0.360 0.628
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 2 0.0237 0.8360 0.004 0.996 0.000
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.4995 0.7617 0.092 0.840 0.068
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 3 0.6192 0.7441 0.000 0.420 0.580
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.5178 0.8898 0.744 0.256 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.7337 -0.3870 0.032 0.540 0.428
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 3 0.6339 0.7578 0.008 0.360 0.632
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.4409 0.7523 0.172 0.824 0.004
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.0237 0.8362 0.004 0.996 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 2 0.5178 0.6380 0.256 0.744 0.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 2 0.5746 0.7062 0.180 0.780 0.040
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 2 0.0000 0.8353 0.000 1.000 0.000
#> 2C2589E0-2055-43AC-8001-1643839F80D4 2 0.3879 0.7708 0.152 0.848 0.000
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 2 0.4504 0.7259 0.196 0.804 0.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 2 0.0000 0.8353 0.000 1.000 0.000
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 2 0.0892 0.8367 0.020 0.980 0.000
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.2448 0.8244 0.076 0.924 0.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 2 0.5823 0.6671 0.064 0.792 0.144
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.0000 0.8353 0.000 1.000 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 2 0.0747 0.8280 0.016 0.984 0.000
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.0747 0.8308 0.000 0.984 0.016
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 1 0.8108 0.6400 0.536 0.392 0.072
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 2 0.4723 0.7572 0.160 0.824 0.016
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 2 0.3619 0.7108 0.000 0.864 0.136
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 2 0.0237 0.8361 0.004 0.996 0.000
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 2 0.0000 0.8353 0.000 1.000 0.000
#> A3AC663C-1578-4946-AED3-2FF9A739168E 2 0.4682 0.6261 0.004 0.804 0.192
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.2165 0.8274 0.064 0.936 0.000
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 1 0.7222 0.1204 0.696 0.220 0.084
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 2 0.5285 0.6554 0.244 0.752 0.004
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 2 0.3941 0.7707 0.156 0.844 0.000
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 1 0.9054 0.6524 0.496 0.360 0.144
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 2 0.5656 0.6105 0.264 0.728 0.008
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 2 0.1289 0.8356 0.032 0.968 0.000
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 2 0.6105 0.4693 0.024 0.724 0.252
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#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.1031 0.8257 0.000 0.976 0.024
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.0000 0.8353 0.000 1.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.5216 0.6314 0.260 0.740 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.0747 0.8367 0.016 0.984 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.1716 0.74827 0.000 0.936 0.064 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.1807 0.75655 0.000 0.940 0.052 0.008
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.3931 0.58604 0.040 0.832 0.128 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.2469 0.70932 0.000 0.892 0.108 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.5681 0.85196 0.000 0.404 0.568 0.028
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.5883 0.15034 0.000 0.648 0.288 0.064
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.0188 0.77369 0.000 0.996 0.004 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.0469 0.77335 0.000 0.988 0.012 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.4477 0.21841 0.000 0.688 0.312 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.85838 1.000 0.000 0.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.5358 0.32409 0.000 0.700 0.252 0.048
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.1637 0.75058 0.000 0.940 0.060 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.4804 0.87885 0.000 0.384 0.616 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.2704 0.68967 0.000 0.876 0.124 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.2011 0.73477 0.000 0.920 0.080 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0336 0.77296 0.000 0.992 0.008 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.4814 0.21321 0.000 0.676 0.008 0.316
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.4222 0.36947 0.000 0.728 0.272 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.1474 0.75695 0.000 0.948 0.052 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 2 0.4776 -0.13920 0.000 0.624 0.376 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0336 0.77181 0.000 0.992 0.008 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0188 0.77369 0.000 0.996 0.004 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.6248 0.32863 0.000 0.660 0.128 0.212
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.2214 0.75469 0.000 0.928 0.044 0.028
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.7215 -0.33739 0.000 0.500 0.152 0.348
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.4804 0.87885 0.000 0.384 0.616 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.4877 0.89598 0.000 0.408 0.592 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0469 0.77186 0.000 0.988 0.000 0.012
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 2 0.7489 -0.31211 0.296 0.492 0.212 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.4804 0.87522 0.000 0.384 0.616 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.5522 0.49778 0.000 0.732 0.120 0.148
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.4933 0.87947 0.000 0.432 0.568 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.4933 0.88247 0.000 0.432 0.568 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.1118 0.76608 0.000 0.964 0.036 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.0000 0.85838 1.000 0.000 0.000 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.0336 0.77365 0.000 0.992 0.008 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.1022 0.76650 0.000 0.968 0.032 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.0188 0.77328 0.000 0.996 0.004 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.3521 0.79119 0.864 0.084 0.052 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.4621 0.34494 0.000 0.708 0.008 0.284
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.5431 0.42022 0.000 0.712 0.064 0.224
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.1022 0.76844 0.000 0.968 0.032 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.5167 0.73096 0.000 0.340 0.016 0.644
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.5038 0.04610 0.000 0.652 0.336 0.012
#> FE2C169A-E41F-45EB-B61E-776493069D78 2 0.6433 0.28133 0.000 0.648 0.188 0.164
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.4134 0.42825 0.000 0.740 0.260 0.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.5060 0.89410 0.000 0.412 0.584 0.004
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0000 0.85838 1.000 0.000 0.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.0921 0.00579 0.000 0.000 0.028 0.972
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.3975 0.47062 0.000 0.760 0.240 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 2 0.4564 0.13779 0.000 0.672 0.328 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 2 0.3649 0.55481 0.000 0.796 0.204 0.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.5536 0.66414 0.000 0.384 0.024 0.592
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.3521 0.79119 0.864 0.084 0.052 0.000
#> B40B9470-990D-4443-8484-17266E829557 1 0.3278 0.75400 0.864 0.116 0.020 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 2 0.2704 0.69027 0.000 0.876 0.124 0.000
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.3024 0.65970 0.000 0.852 0.148 0.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.1305 0.75903 0.000 0.960 0.004 0.036
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 2 0.3801 0.52004 0.000 0.780 0.220 0.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 1 0.1256 0.84600 0.964 0.028 0.008 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.3007 0.70218 0.060 0.900 0.028 0.012
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 2 0.4567 0.36274 0.000 0.716 0.276 0.008
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.7576 0.12006 0.464 0.324 0.212 0.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.6977 -0.11426 0.204 0.584 0.212 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.4888 0.89555 0.000 0.412 0.588 0.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.0336 0.77195 0.000 0.992 0.000 0.008
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 1 0.3501 0.72824 0.848 0.132 0.020 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.4804 0.87885 0.000 0.384 0.616 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.5365 0.70727 0.000 0.264 0.044 0.692
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 2 0.0524 0.77427 0.000 0.988 0.008 0.004
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.5517 0.45638 0.000 0.724 0.184 0.092
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.5167 0.73096 0.000 0.340 0.016 0.644
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0188 0.85757 0.996 0.000 0.004 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 4 0.6737 0.58906 0.000 0.420 0.092 0.488
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 4 0.5195 0.71926 0.000 0.276 0.032 0.692
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.5203 -0.01430 0.000 0.636 0.348 0.016
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.0779 0.77357 0.000 0.980 0.016 0.004
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.4916 0.89006 0.000 0.424 0.576 0.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 2 0.6665 -0.31673 0.000 0.544 0.360 0.096
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 2C2589E0-2055-43AC-8001-1643839F80D4 2 0.4406 0.27165 0.000 0.700 0.300 0.000
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 2 0.4730 -0.08666 0.000 0.636 0.364 0.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 2 0.0188 0.77357 0.000 0.996 0.004 0.000
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 2 0.1302 0.76076 0.000 0.956 0.044 0.000
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.2760 0.68677 0.000 0.872 0.128 0.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 2 0.6194 0.35913 0.000 0.668 0.132 0.200
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 2 0.0657 0.76898 0.012 0.984 0.004 0.000
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.0707 0.76815 0.000 0.980 0.000 0.020
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 1 0.7120 0.43561 0.564 0.224 0.212 0.000
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 2 0.4483 0.34569 0.004 0.712 0.284 0.000
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 2 0.3933 0.54276 0.000 0.792 0.008 0.200
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 2 0.0188 0.77369 0.000 0.996 0.004 0.000
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> A3AC663C-1578-4946-AED3-2FF9A739168E 2 0.4838 0.40626 0.000 0.724 0.024 0.252
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.2704 0.68967 0.000 0.876 0.124 0.000
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 3 0.4535 -0.38162 0.292 0.000 0.704 0.004
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.5158 0.79346 0.000 0.472 0.524 0.004
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 2 0.4790 -0.16660 0.000 0.620 0.380 0.000
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 1 0.8890 0.20956 0.392 0.272 0.284 0.052
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.4804 0.87885 0.000 0.384 0.616 0.000
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 2 0.1474 0.75601 0.000 0.948 0.052 0.000
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 2 0.6058 0.12454 0.000 0.624 0.068 0.308
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.4933 0.88247 0.000 0.432 0.568 0.000
#> 4ED692EB-E194-49D7-9222-6232051426E5 2 0.1854 0.74949 0.000 0.940 0.012 0.048
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 2 0.0336 0.77296 0.000 0.992 0.008 0.000
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.4855 0.89157 0.000 0.400 0.600 0.000
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 64B33223-EB30-49ED-A3D8-5AC598845465 2 0.2888 0.69187 0.000 0.872 0.124 0.004
#> 21599029-B6C9-4385-B87C-FDB99F956118 2 0.6875 -0.42921 0.000 0.520 0.368 0.112
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 2 0.4576 0.47652 0.000 0.748 0.020 0.232
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 2 0.4040 0.46467 0.000 0.752 0.248 0.000
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 1 0.8942 0.07667 0.364 0.308 0.276 0.052
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 1 0.6095 0.72244 0.668 0.000 0.224 0.108
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 4 0.5167 0.71602 0.000 0.340 0.016 0.644
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 2 0.5050 0.32504 0.000 0.704 0.268 0.028
#> 8902E88F-181A-46FE-9C80-F11C107B33E4 2 0.0469 0.77173 0.000 0.988 0.000 0.012
#> 24F2D373-AE15-47B0-8F1B-740426145C2C 2 0.0336 0.77296 0.000 0.992 0.008 0.000
#> A154A921-EB14-48DF-BF70-AE765CCE5CAB 1 0.0000 0.85838 1.000 0.000 0.000 0.000
#> D508AD79-2273-4E78-A6EE-97FBAAC7E851 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 023D7F8E-5BD5-4AE8-8A7F-1851AA7F228A 2 0.3444 0.60006 0.000 0.816 0.184 0.000
#> 3BDE962B-6791-40BC-B3AA-C4D527FFEF22 2 0.0817 0.77076 0.000 0.976 0.024 0.000
#> 2F2D34BA-A568-470E-B0D9-5875E897FF39 3 0.4804 0.87885 0.000 0.384 0.616 0.000
#> 6DB55201-3973-4650-842E-842D5869C567 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 258CFB91-4E4F-48F9-A483-9F6C4CFF0D3C 3 0.6020 0.81634 0.000 0.384 0.568 0.048
#> 5373681D-9C2C-46FE-AA89-05741DA4080B 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 050B778A-9D6F-4742-B6AA-CBF8541F6203 1 0.0000 0.85838 1.000 0.000 0.000 0.000
#> 46FAC69E-DB01-452F-A3EE-D7339DD562CE 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 2115D9F7-F4A9-4408-9AEF-BCFAF10C4867 2 0.6449 0.08968 0.152 0.644 0.204 0.000
#> DCEFC413-9710-4863-A5B1-8EFBA98CF126 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 49CA7C56-BD81-4E36-9E50-EF36EDDD8D28 2 0.0592 0.77181 0.000 0.984 0.016 0.000
#> 9A497869-8F26-438D-85B0-C2CB39E487AE 2 0.0707 0.77171 0.000 0.980 0.020 0.000
#> D7B44985-AF29-44DF-8966-1228629EE8E2 2 0.4482 0.62867 0.000 0.804 0.128 0.068
#> 65343EA3-C1AA-4AA6-BC96-D8DE39E48000 2 0.3975 0.47920 0.000 0.760 0.240 0.000
#> 38C30CDE-2564-40A0-9594-FFA8D8330585 2 0.5151 0.45347 0.100 0.760 0.140 0.000
#> 660A826B-C49F-4D57-9778-C2FCD600FFA1 1 0.6915 0.50871 0.592 0.196 0.212 0.000
#> C5F7AAB7-8C35-4AC8-BFD2-6F3C9F3F9586 2 0.0336 0.77153 0.000 0.992 0.008 0.000
#> FE7A09A1-ACB3-4E9C-A481-060678E3FBDC 2 0.0376 0.77396 0.000 0.992 0.004 0.004
#> 9FFF1766-C9CA-4226-8790-2D1676E26A22 2 0.3311 0.62181 0.000 0.828 0.172 0.000
#> 33BFFD24-DEF0-4FDE-B20D-482BE6E8C4CD 2 0.2101 0.75034 0.000 0.928 0.060 0.012
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#> 3BED1BB9-EC6D-4B6B-9B4B-268067DA1C21 2 0.4988 0.41432 0.000 0.728 0.236 0.036
#> C405814A-66E1-45E3-957D-0F32CFE30BFA 2 0.2704 0.68906 0.000 0.876 0.124 0.000
#> 799673ED-C935-4CE9-B8F3-14EE41C25BA1 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 2A37A64F-C93B-42B6-95D5-744EEFD07FD1 1 0.0000 0.85838 1.000 0.000 0.000 0.000
#> FA84E86B-3DB8-4A3F-817A-140DE7568611 2 0.8168 -0.42306 0.360 0.420 0.200 0.020
#> D22F5C7C-3BAF-496A-8D3A-FB4D5F853E90 2 0.5227 0.35425 0.000 0.704 0.256 0.040
#> 3F76F946-07A9-4C0B-BA36-9524068D785B 3 0.4898 0.89447 0.000 0.416 0.584 0.000
#> 3977EBDA-AD30-4AA0-AC75-E33086DC533D 2 0.1637 0.75083 0.000 0.940 0.060 0.000
#> 8D361255-E352-4248-9FDF-0A6602CB419D 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 18AE7FAE-0B1E-4F52-BEC6-6158E61EB679 1 0.1151 0.84808 0.968 0.024 0.008 0.000
#> 5F005483-D289-4A3E-BD1E-0A4B3C655951 2 0.4540 0.55366 0.000 0.772 0.196 0.032
#> D3803F45-EB0C-4FAD-8C7B-F3755FBF496D 3 0.4843 0.88913 0.000 0.396 0.604 0.000
#> DF8D09B4-1F48-4D86-A379-1BB16E114CBE 2 0.2988 0.69390 0.000 0.876 0.012 0.112
#> 2A6CB7AD-79C2-4D43-8D97-61A4A6A79D3B 2 0.0469 0.77265 0.000 0.988 0.012 0.000
#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 3 0.4804 0.87885 0.000 0.384 0.616 0.000
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 2 0.0188 0.77334 0.000 0.996 0.000 0.004
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 4 0.5169 0.71692 0.000 0.272 0.032 0.696
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 3 0.8583 -0.13199 0.028 0.340 0.356 0.276
#> 16D23472-C0CB-49F9-9139-77920C50235F 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 2 0.4819 0.03605 0.000 0.652 0.344 0.004
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.0000 0.85838 1.000 0.000 0.000 0.000
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 2 0.0336 0.77227 0.000 0.992 0.000 0.008
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 2 0.0336 0.77319 0.000 0.992 0.008 0.000
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 2 0.2760 0.68845 0.000 0.872 0.128 0.000
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 2 0.5173 0.13780 0.000 0.660 0.320 0.020
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 2 0.1151 0.76367 0.000 0.968 0.008 0.024
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 2 0.0592 0.77276 0.000 0.984 0.016 0.000
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 4 0.4910 0.72126 0.000 0.276 0.020 0.704
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 1 0.0000 0.85838 1.000 0.000 0.000 0.000
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> D14A535D-5C31-4D78-8F92-3B50922211A2 2 0.5587 -0.23426 0.000 0.600 0.372 0.028
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.2704 0.69035 0.000 0.876 0.124 0.000
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.2408 0.71306 0.000 0.896 0.104 0.000
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 2 0.4867 0.47136 0.000 0.736 0.232 0.032
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 2 0.4008 0.45991 0.000 0.756 0.244 0.000
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 2 0.6362 0.03077 0.000 0.616 0.288 0.096
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 1 0.0000 0.85838 1.000 0.000 0.000 0.000
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.4753 0.51004 0.084 0.788 0.128 0.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 2 0.1557 0.75386 0.000 0.944 0.056 0.000
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.1978 0.74597 0.000 0.928 0.068 0.004
#> 212CB113-E765-4146-AC8A-B34044E2A849 2 0.4008 0.45754 0.000 0.756 0.244 0.000
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.0000 0.85838 1.000 0.000 0.000 0.000
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.0707 0.76900 0.000 0.980 0.000 0.020
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.4564 0.14116 0.000 0.672 0.328 0.000
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.1716 0.74986 0.000 0.936 0.064 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 3 0.8589 -0.14935 0.028 0.336 0.356 0.280
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.0469 0.77173 0.000 0.988 0.000 0.012
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 2 0.1174 0.76110 0.020 0.968 0.012 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.0469 0.77142 0.000 0.988 0.000 0.012
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 2 0.4748 0.37096 0.000 0.716 0.268 0.016
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.0921 0.76836 0.000 0.972 0.028 0.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.6125 0.59756 0.000 0.436 0.048 0.516
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.2216 0.72618 0.000 0.908 0.092 0.000
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.4977 0.82686 0.000 0.460 0.540 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.4977 0.82686 0.000 0.460 0.540 0.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.0469 0.77335 0.000 0.988 0.012 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.0707 0.77141 0.000 0.980 0.020 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.2011 0.73526 0.000 0.920 0.080 0.000
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.4804 0.87885 0.000 0.384 0.616 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 2 0.3610 0.56558 0.000 0.800 0.200 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.4661 0.42955 0.000 0.728 0.016 0.256
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.1004 0.77124 0.000 0.972 0.024 0.004
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 2 0.1792 0.74606 0.000 0.932 0.068 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.1854 0.74949 0.000 0.940 0.012 0.048
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.1004 0.77000 0.004 0.972 0.024 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 2 0.0707 0.77198 0.000 0.980 0.020 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.0336 0.77195 0.000 0.992 0.000 0.008
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.5288 0.42484 0.000 0.720 0.056 0.224
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.4360 0.45154 0.000 0.744 0.248 0.008
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.6458 0.60832 0.000 0.408 0.072 0.520
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.4877 0.89598 0.000 0.408 0.592 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.3486 0.59452 0.000 0.812 0.188 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.0188 0.77384 0.000 0.996 0.004 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.5097 0.87487 0.000 0.428 0.568 0.004
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.4711 0.44886 0.000 0.740 0.024 0.236
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.2441 0.73925 0.012 0.916 0.068 0.004
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.1151 0.76367 0.000 0.968 0.008 0.024
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.5226 0.56822 0.000 0.756 0.116 0.128
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.5000 0.71686 0.000 0.496 0.504 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 2 0.4406 0.27165 0.000 0.700 0.300 0.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.3047 0.68899 0.000 0.872 0.012 0.116
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.1256 0.76113 0.000 0.964 0.008 0.028
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.4907 0.89255 0.000 0.420 0.580 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.1302 0.75072 0.000 0.956 0.000 0.044
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.4804 0.87885 0.000 0.384 0.616 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.4741 0.46387 0.000 0.744 0.028 0.228
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.6200 -0.46738 0.000 0.504 0.052 0.444
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.4008 0.45754 0.000 0.756 0.244 0.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.4916 0.89006 0.000 0.424 0.576 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.4567 0.36274 0.000 0.716 0.276 0.008
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.4877 0.89579 0.000 0.408 0.592 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.2011 0.73438 0.000 0.920 0.080 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.2704 0.69154 0.000 0.876 0.124 0.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.4888 0.89611 0.000 0.412 0.588 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.4925 0.88610 0.000 0.428 0.572 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.2081 0.73099 0.000 0.916 0.084 0.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.4008 0.45991 0.000 0.756 0.244 0.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.4669 0.52277 0.100 0.796 0.104 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.0336 0.77386 0.000 0.992 0.008 0.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0188 0.77325 0.000 0.996 0.000 0.004
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0937 0.77208 0.000 0.976 0.012 0.012
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0592 0.76755 0.000 0.984 0.016 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.1637 0.75077 0.000 0.940 0.060 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.4690 0.40043 0.000 0.724 0.016 0.260
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.4072 0.43941 0.000 0.748 0.252 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.4804 0.87885 0.000 0.384 0.616 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0524 0.77343 0.000 0.988 0.004 0.008
#> F4142833-0749-44A4-B769-66262AA4A484 2 0.0707 0.77198 0.000 0.980 0.020 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.5569 0.26930 0.000 0.660 0.044 0.296
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.4916 0.89006 0.000 0.424 0.576 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.4134 0.41832 0.000 0.740 0.260 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0000 0.77335 0.000 1.000 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.5151 0.81039 0.000 0.464 0.532 0.004
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.4748 0.37974 0.000 0.716 0.016 0.268
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.3356 0.61362 0.000 0.824 0.176 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.6273 -0.52141 0.000 0.488 0.056 0.456
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0336 0.77181 0.000 0.992 0.008 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.4647 0.33673 0.000 0.704 0.008 0.288
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.4543 0.15649 0.000 0.676 0.324 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.1256 0.02962 0.000 0.008 0.028 0.964
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.5227 0.35425 0.000 0.704 0.256 0.040
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.3521 0.79119 0.864 0.084 0.052 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.5203 -0.01430 0.000 0.636 0.348 0.016
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 2 0.4907 -0.39130 0.000 0.580 0.420 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.0188 0.77355 0.000 0.996 0.004 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0188 0.77355 0.000 0.996 0.004 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.4121 0.59407 0.000 0.796 0.184 0.020
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.5277 0.15313 0.000 0.668 0.304 0.028
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.4134 0.41893 0.000 0.740 0.260 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.7289 -0.22343 0.252 0.536 0.212 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.1545 0.75264 0.000 0.952 0.008 0.040
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.0188 0.77345 0.000 0.996 0.004 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.4877 0.89579 0.000 0.408 0.592 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.1022 0.76650 0.000 0.968 0.032 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0290 0.7655 0.008 0.992 0.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.2304 0.7553 0.004 0.908 0.068 0.020 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.2819 0.7505 0.004 0.884 0.060 0.052 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.3748 0.5830 0.080 0.824 0.092 0.000 0.004
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.3365 0.7108 0.000 0.836 0.120 0.044 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.5536 0.7550 0.016 0.240 0.660 0.084 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.6792 -0.3829 0.000 0.372 0.340 0.288 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.0451 0.7677 0.008 0.988 0.004 0.000 0.000
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#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.0324 0.7675 0.004 0.992 0.004 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.3844 0.8399 0.004 0.256 0.736 0.004 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.1412 0.7681 0.004 0.952 0.036 0.008 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.0508 0.78133 0.984 0.000 0.000 0.004 0.000 0.012
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.2649 0.75749 0.884 0.000 0.064 0.028 0.000 0.024
#> 3BBC7540-136B-47C8-9C09-CD423685B742 1 0.2958 0.75770 0.864 0.000 0.060 0.060 0.000 0.016
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.3109 0.60605 0.772 0.000 0.004 0.000 0.000 0.224
#> 82DA87CF-C067-44B3-A372-ECB056337B08 1 0.3633 0.69976 0.808 0.000 0.124 0.052 0.000 0.016
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.5983 0.69609 0.196 0.008 0.624 0.100 0.000 0.072
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.6748 -0.11309 0.284 0.000 0.316 0.364 0.000 0.036
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.1082 0.78076 0.956 0.000 0.004 0.000 0.000 0.040
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.1262 0.78625 0.956 0.000 0.008 0.016 0.000 0.020
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 1 0.5665 -0.07404 0.512 0.000 0.384 0.064 0.000 0.040
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.0291 0.83297 0.000 0.004 0.000 0.000 0.992 0.004
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 1 0.6617 -0.06997 0.480 0.000 0.240 0.228 0.000 0.052
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 1 0.2414 0.76165 0.896 0.000 0.056 0.036 0.000 0.012
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.4261 0.72325 0.172 0.008 0.748 0.004 0.000 0.068
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0865 0.78060 0.964 0.000 0.000 0.000 0.000 0.036
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.0520 0.78074 0.984 0.000 0.000 0.008 0.000 0.008
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 1 0.4117 0.64919 0.764 0.000 0.156 0.064 0.000 0.016
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.2872 0.74426 0.868 0.000 0.080 0.028 0.000 0.024
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.1630 0.78628 0.940 0.000 0.016 0.024 0.000 0.020
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.0891 0.78463 0.968 0.000 0.000 0.008 0.000 0.024
#> E8385A24-9459-4D47-9147-3A628D1A213D 4 0.6861 0.37347 0.316 0.112 0.028 0.484 0.000 0.060
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 1 0.5432 0.23326 0.588 0.000 0.312 0.060 0.000 0.040
#> C42C8456-82F9-433C-82BA-F1284CDC425C 1 0.2058 0.77498 0.908 0.000 0.056 0.036 0.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.5501 0.51232 0.396 0.000 0.512 0.064 0.000 0.028
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0972 0.78323 0.964 0.000 0.000 0.008 0.000 0.028
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.0603 0.78251 0.980 0.000 0.000 0.004 0.000 0.016
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 1 0.0551 0.78218 0.984 0.000 0.004 0.008 0.000 0.004
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.4797 0.46074 0.180 0.004 0.072 0.716 0.000 0.028
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.0405 0.78050 0.988 0.000 0.000 0.004 0.000 0.008
#> D48A0C08-C253-49EA-9083-DCA68541072B 1 0.4024 0.67480 0.772 0.000 0.060 0.152 0.000 0.016
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.7527 0.28444 0.180 0.152 0.132 0.492 0.000 0.044
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.4261 0.72325 0.172 0.008 0.748 0.004 0.000 0.068
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.3253 0.78058 0.192 0.000 0.788 0.000 0.000 0.020
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.1390 0.78134 0.948 0.004 0.000 0.032 0.000 0.016
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.5771 -0.36744 0.444 0.000 0.000 0.000 0.176 0.380
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.0508 0.78179 0.984 0.000 0.000 0.012 0.000 0.004
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.3646 0.74208 0.172 0.000 0.776 0.000 0.000 0.052
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.5721 0.36208 0.372 0.004 0.116 0.500 0.000 0.008
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.3884 0.79188 0.232 0.000 0.736 0.012 0.000 0.020
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.3360 0.77679 0.264 0.000 0.732 0.004 0.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 1 0.1777 0.77836 0.928 0.000 0.044 0.024 0.000 0.004
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.0291 0.83297 0.000 0.004 0.000 0.000 0.992 0.004
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.0767 0.78343 0.976 0.000 0.008 0.012 0.000 0.004
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.1906 0.77500 0.924 0.000 0.036 0.008 0.000 0.032
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.0458 0.78233 0.984 0.000 0.000 0.000 0.000 0.016
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.3907 0.63813 0.068 0.000 0.000 0.000 0.756 0.176
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.4677 0.47392 0.248 0.040 0.012 0.688 0.000 0.012
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.0820 0.78185 0.972 0.000 0.012 0.016 0.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.4158 0.50424 0.236 0.000 0.024 0.720 0.000 0.020
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.2186 0.77779 0.908 0.000 0.036 0.048 0.000 0.008
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.5813 -0.36476 0.044 0.356 0.016 0.540 0.000 0.044
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 1 0.6936 -0.49491 0.336 0.000 0.332 0.280 0.000 0.052
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.6329 0.38910 0.208 0.012 0.232 0.528 0.000 0.020
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 1 0.5717 0.08825 0.540 0.000 0.336 0.096 0.000 0.028
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.3314 0.79230 0.224 0.000 0.764 0.012 0.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.0291 0.83297 0.000 0.004 0.000 0.000 0.992 0.004
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.0725 0.78277 0.976 0.000 0.000 0.012 0.000 0.012
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.2214 0.49802 0.000 0.892 0.004 0.092 0.000 0.012
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 1 0.5203 0.30689 0.616 0.000 0.296 0.052 0.000 0.036
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.5537 -0.09640 0.512 0.000 0.396 0.052 0.000 0.040
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.4601 0.51544 0.700 0.000 0.228 0.044 0.000 0.028
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.6235 0.21484 0.136 0.428 0.008 0.408 0.000 0.020
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 5 0.3907 0.63813 0.068 0.000 0.000 0.000 0.756 0.176
#> B40B9470-990D-4443-8484-17266E829557 5 0.3707 0.61849 0.100 0.000 0.000 0.004 0.796 0.100
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.1082 0.78107 0.956 0.000 0.000 0.004 0.000 0.040
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 1 0.4166 0.63062 0.764 0.000 0.160 0.044 0.000 0.032
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 1 0.4403 0.55969 0.712 0.000 0.224 0.048 0.000 0.016
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 1 0.0520 0.78086 0.984 0.000 0.000 0.008 0.000 0.008
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 1 0.2774 0.73740 0.864 0.008 0.008 0.108 0.000 0.012
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0865 0.78129 0.964 0.000 0.000 0.000 0.000 0.036
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.5189 0.34834 0.628 0.000 0.280 0.056 0.000 0.036
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 1 0.0146 0.77870 0.996 0.000 0.000 0.004 0.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 5 0.1480 0.80774 0.020 0.000 0.000 0.000 0.940 0.040
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 1 0.3050 0.72405 0.852 0.000 0.000 0.044 0.012 0.092
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 1 0.6102 -0.05829 0.496 0.000 0.344 0.124 0.000 0.036
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 6 0.6196 0.22237 0.276 0.000 0.000 0.004 0.328 0.392
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.5186 -0.07036 0.544 0.000 0.000 0.004 0.084 0.368
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.3281 0.78699 0.200 0.000 0.784 0.012 0.000 0.004
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.0937 0.78017 0.960 0.000 0.000 0.000 0.000 0.040
#> 12B37C6C-03BB-4632-901E-524A46955B98 1 0.1642 0.77788 0.936 0.004 0.000 0.028 0.000 0.032
#> B308794B-BB34-43C7-AC89-C5230E782F0A 1 0.1498 0.77761 0.940 0.000 0.000 0.032 0.000 0.028
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 5 0.3885 0.56657 0.116 0.000 0.000 0.004 0.780 0.100
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.4261 0.72325 0.172 0.008 0.748 0.004 0.000 0.068
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.5451 -0.39711 0.032 0.436 0.024 0.492 0.000 0.016
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 1 0.2147 0.77529 0.912 0.000 0.032 0.044 0.000 0.012
#> EB5CF362-6974-4137-AC92-2051B1594E13 4 0.6249 0.35690 0.292 0.000 0.164 0.508 0.000 0.036
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.5755 -0.36431 0.040 0.356 0.016 0.544 0.000 0.044
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 5 0.0458 0.83361 0.000 0.000 0.000 0.000 0.984 0.016
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 4 0.5555 -0.08478 0.044 0.212 0.044 0.664 0.000 0.036
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 4 0.5372 -0.38834 0.032 0.436 0.024 0.496 0.000 0.012
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.6628 0.45717 0.316 0.000 0.416 0.232 0.000 0.036
#> 77744579-17ED-499B-92FD-089789C44F8A 1 0.2247 0.77194 0.904 0.000 0.024 0.060 0.000 0.012
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.3349 0.78889 0.244 0.000 0.748 0.008 0.000 0.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 4 0.6000 0.15560 0.076 0.000 0.380 0.488 0.000 0.056
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.0653 0.78197 0.980 0.000 0.004 0.004 0.000 0.012
#> 2C2589E0-2055-43AC-8001-1643839F80D4 1 0.5469 0.05601 0.548 0.000 0.360 0.052 0.000 0.040
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.5453 0.32770 0.448 0.000 0.464 0.068 0.000 0.020
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 1 0.1148 0.78522 0.960 0.000 0.020 0.016 0.000 0.004
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 1 0.2187 0.76992 0.912 0.000 0.040 0.024 0.000 0.024
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 1 0.3794 0.68252 0.792 0.000 0.140 0.052 0.000 0.016
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 4 0.4834 0.48521 0.204 0.000 0.072 0.696 0.000 0.028
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 1 0.0622 0.78337 0.980 0.000 0.000 0.012 0.000 0.008
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 1 0.0777 0.78462 0.972 0.000 0.000 0.004 0.000 0.024
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 1 0.1768 0.77852 0.932 0.004 0.004 0.040 0.000 0.020
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 5 0.6017 -0.11066 0.180 0.000 0.000 0.008 0.428 0.384
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 1 0.5696 0.24258 0.580 0.000 0.296 0.068 0.000 0.056
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 1 0.6121 -0.22429 0.500 0.068 0.024 0.376 0.000 0.032
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 1 0.0551 0.78218 0.984 0.000 0.004 0.008 0.000 0.004
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 1 0.0790 0.78132 0.968 0.000 0.000 0.000 0.000 0.032
#> A3AC663C-1578-4946-AED3-2FF9A739168E 4 0.3673 0.49960 0.244 0.004 0.000 0.736 0.000 0.016
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 1 0.4117 0.64919 0.764 0.000 0.156 0.064 0.000 0.016
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 6 0.6943 0.01452 0.000 0.040 0.220 0.028 0.220 0.492
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.5027 0.71455 0.312 0.000 0.616 0.032 0.000 0.040
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.5482 0.45517 0.420 0.000 0.492 0.060 0.000 0.028
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 6 0.8437 0.30727 0.160 0.032 0.136 0.052 0.196 0.424
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.4261 0.72325 0.172 0.008 0.748 0.004 0.000 0.068
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 1 0.2318 0.76648 0.904 0.000 0.048 0.020 0.000 0.028
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 4 0.5075 0.44982 0.192 0.048 0.032 0.704 0.000 0.024
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.3398 0.78424 0.252 0.000 0.740 0.008 0.000 0.000
#> 4ED692EB-E194-49D7-9222-6232051426E5 1 0.4106 0.58677 0.736 0.000 0.024 0.216 0.000 0.024
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 1 0.1053 0.78330 0.964 0.000 0.004 0.012 0.000 0.020
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.3385 0.75988 0.180 0.000 0.788 0.000 0.000 0.032
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 1 0.0653 0.78197 0.980 0.000 0.004 0.004 0.000 0.012
#> 64B33223-EB30-49ED-A3D8-5AC598845465 1 0.4206 0.64925 0.756 0.000 0.160 0.068 0.000 0.016
#> 21599029-B6C9-4385-B87C-FDB99F956118 3 0.6432 0.10896 0.180 0.004 0.420 0.372 0.000 0.024
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 4 0.3937 0.50857 0.280 0.004 0.008 0.700 0.000 0.008
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 1 0.5607 0.07299 0.532 0.000 0.348 0.104 0.000 0.016
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 6 0.8518 0.32842 0.184 0.032 0.148 0.052 0.172 0.412
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 5 0.5317 0.44858 0.000 0.096 0.000 0.008 0.564 0.332
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 2 0.6742 0.33941 0.100 0.424 0.020 0.396 0.000 0.060
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 1 0.0622 0.78254 0.980 0.000 0.000 0.008 0.000 0.012
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 1 0.6520 0.00146 0.500 0.000 0.264 0.180 0.000 0.056
#> 8902E88F-181A-46FE-9C80-F11C107B33E4 1 0.2349 0.75687 0.892 0.000 0.008 0.080 0.000 0.020
#> 24F2D373-AE15-47B0-8F1B-740426145C2C 1 0.1296 0.78335 0.952 0.000 0.012 0.032 0.000 0.004
#> A154A921-EB14-48DF-BF70-AE765CCE5CAB 5 0.0260 0.83455 0.000 0.000 0.000 0.000 0.992 0.008
#> D508AD79-2273-4E78-A6EE-97FBAAC7E851 1 0.1914 0.77009 0.920 0.000 0.008 0.056 0.000 0.016
#> 023D7F8E-5BD5-4AE8-8A7F-1851AA7F228A 1 0.4864 0.49916 0.688 0.000 0.220 0.056 0.000 0.036
#> 3BDE962B-6791-40BC-B3AA-C4D527FFEF22 1 0.1755 0.78365 0.932 0.000 0.032 0.028 0.000 0.008
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#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.3368 0.79302 0.232 0.000 0.756 0.012 0.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 0.3089 0.73852 0.856 0.000 0.080 0.040 0.000 0.024
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.5134 0.34725 0.632 0.000 0.280 0.052 0.000 0.036
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.3514 0.58455 0.768 0.000 0.000 0.004 0.020 0.208
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 1 0.1245 0.78548 0.952 0.000 0.016 0.032 0.000 0.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0777 0.78165 0.972 0.000 0.000 0.004 0.000 0.024
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.0909 0.78461 0.968 0.000 0.000 0.012 0.000 0.020
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.0632 0.78081 0.976 0.000 0.000 0.000 0.000 0.024
#> 85C38170-F2A0-4491-BFDB-38489204C015 1 0.2844 0.73827 0.856 0.000 0.020 0.112 0.000 0.012
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.0777 0.78195 0.972 0.000 0.000 0.004 0.000 0.024
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.2521 0.76009 0.892 0.000 0.056 0.032 0.000 0.020
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.0146 0.77870 0.996 0.000 0.000 0.004 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.4009 0.49074 0.240 0.012 0.008 0.728 0.000 0.012
#> 0B400F91-2355-43AB-AA86-725C21352AB7 1 0.5277 0.32579 0.616 0.000 0.288 0.060 0.000 0.036
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.1421 0.78170 0.944 0.000 0.000 0.028 0.000 0.028
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.4261 0.72325 0.172 0.008 0.748 0.004 0.000 0.068
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.1786 0.77969 0.932 0.004 0.004 0.028 0.000 0.032
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.1908 0.77577 0.924 0.000 0.020 0.012 0.000 0.044
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.6708 0.28357 0.400 0.128 0.040 0.412 0.000 0.020
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.3323 0.79041 0.240 0.000 0.752 0.008 0.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 1 0.5488 0.11848 0.548 0.000 0.348 0.084 0.000 0.020
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.0291 0.77956 0.992 0.000 0.000 0.004 0.000 0.004
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.4338 0.77540 0.248 0.000 0.700 0.040 0.000 0.012
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.4268 0.48922 0.240 0.016 0.008 0.716 0.000 0.020
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.4812 0.51225 0.696 0.000 0.212 0.056 0.000 0.036
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.5705 0.15439 0.100 0.176 0.048 0.660 0.000 0.016
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.0717 0.78153 0.976 0.000 0.000 0.008 0.000 0.016
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.4585 0.47926 0.240 0.032 0.016 0.700 0.000 0.012
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 1 0.5575 -0.08573 0.516 0.000 0.388 0.056 0.000 0.040
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.2376 0.50339 0.000 0.884 0.008 0.096 0.000 0.012
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.6710 0.02727 0.236 0.000 0.296 0.424 0.000 0.044
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 5 0.3907 0.63813 0.068 0.000 0.000 0.000 0.756 0.176
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.6628 0.45717 0.316 0.000 0.416 0.232 0.000 0.036
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.5121 0.68469 0.320 0.000 0.604 0.036 0.000 0.040
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.0964 0.78369 0.968 0.000 0.012 0.016 0.000 0.004
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.0964 0.78369 0.968 0.000 0.012 0.016 0.000 0.004
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 1 0.5210 0.49612 0.656 0.000 0.204 0.120 0.000 0.020
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.6534 -0.17299 0.476 0.000 0.308 0.160 0.000 0.056
#> 13138496-2362-49FA-9CBF-35EBB0843924 1 0.5551 0.09690 0.544 0.000 0.352 0.076 0.000 0.028
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.5759 -0.21087 0.496 0.000 0.000 0.012 0.128 0.364
#> 44A16F74-F823-4B27-AC3B-52526426199B 1 0.3780 0.61757 0.760 0.000 0.020 0.204 0.000 0.016
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0405 0.78118 0.988 0.000 0.004 0.000 0.000 0.008
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.2948 0.77736 0.188 0.000 0.804 0.000 0.000 0.008
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.1906 0.77500 0.924 0.000 0.036 0.008 0.000 0.032
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17395 rows and 473 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 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 0.396 0.757 0.810 0.3492 0.574 0.574
#> 3 3 0.491 0.700 0.842 0.5310 0.820 0.694
#> 4 4 0.815 0.851 0.924 0.1928 0.881 0.735
#> 5 5 0.624 0.522 0.763 0.1488 0.823 0.547
#> 6 6 0.622 0.636 0.774 0.0739 0.858 0.516
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
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.8603 0.000 1.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.0000 0.8603 0.000 1.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.1184 0.8461 0.016 0.984
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.0000 0.8603 0.000 1.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.4562 0.7490 0.096 0.904
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 1 0.9248 0.8631 0.660 0.340
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 1 0.9209 0.8602 0.664 0.336
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.0000 0.8603 0.000 1.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.0000 0.8603 0.000 1.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 1 0.9732 0.8946 0.596 0.404
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 2 0.9850 0.3343 0.428 0.572
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 1 0.9427 0.8605 0.640 0.360
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.0000 0.8603 0.000 1.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 1 0.9710 0.8975 0.600 0.400
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.0000 0.8603 0.000 1.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.0000 0.8603 0.000 1.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 1 0.9850 0.8652 0.572 0.428
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.0000 0.8603 0.000 1.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0000 0.8603 0.000 1.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0000 0.8603 0.000 1.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.5178 0.7533 0.116 0.884
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 1 0.9909 0.8384 0.556 0.444
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0000 0.8603 0.000 1.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 1 0.9710 0.8975 0.600 0.400
#> 032E0758-7A5B-405B-88D3-74C527605780 2 0.0000 0.8603 0.000 1.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0000 0.8603 0.000 1.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0000 0.8603 0.000 1.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 1 0.9323 0.8613 0.652 0.348
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0000 0.8603 0.000 1.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.5059 0.7535 0.112 0.888
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 1 0.9323 0.8613 0.652 0.348
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 1 0.9710 0.8975 0.600 0.400
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 1 0.9710 0.8975 0.600 0.400
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0000 0.8603 0.000 1.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 2 0.9129 0.4544 0.328 0.672
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0000 0.8603 0.000 1.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 1 0.9710 0.8975 0.600 0.400
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.8661 0.3734 0.288 0.712
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 1 0.9710 0.8975 0.600 0.400
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 1 0.9732 0.8946 0.596 0.404
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.4161 0.7643 0.084 0.916
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.5737 0.4801 0.864 0.136
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.0000 0.8603 0.000 1.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.0938 0.8493 0.012 0.988
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.0000 0.8603 0.000 1.000
#> F1E00B65-7148-441C-B752-A8F083957765 2 0.9491 0.4129 0.368 0.632
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.5178 0.7533 0.116 0.884
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0000 0.8603 0.000 1.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.7299 0.6130 0.204 0.796
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.0000 0.8603 0.000 1.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.7219 0.6216 0.200 0.800
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 1 0.9710 0.8975 0.600 0.400
#> FE2C169A-E41F-45EB-B61E-776493069D78 1 0.9209 0.8602 0.664 0.336
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 1 0.9732 0.8946 0.596 0.404
#> 613A3C1F-286A-44DB-8333-70B84680F882 1 0.9710 0.8975 0.600 0.400
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.8443 0.3479 0.728 0.272
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.0000 0.8603 0.000 1.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 1 0.9358 0.8599 0.648 0.352
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.1633 0.8391 0.024 0.976
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.9795 0.8808 0.584 0.416
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 2 0.0000 0.8603 0.000 1.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.6623 0.6749 0.172 0.828
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 2 0.9323 0.4345 0.348 0.652
#> B40B9470-990D-4443-8484-17266E829557 2 0.9323 0.4345 0.348 0.652
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 2 0.0000 0.8603 0.000 1.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 2 0.1184 0.8455 0.016 0.984
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.8608 0.1985 0.284 0.716
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0000 0.8603 0.000 1.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.3114 0.8086 0.056 0.944
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 2 0.0000 0.8603 0.000 1.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 2 0.0000 0.8603 0.000 1.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0000 0.8603 0.000 1.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.9686 0.3826 0.396 0.604
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.0000 0.8603 0.000 1.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 1 0.9710 0.8975 0.600 0.400
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 2 0.9209 0.4449 0.336 0.664
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.9129 0.4544 0.328 0.672
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 1 0.9710 0.8975 0.600 0.400
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 2 0.0000 0.8603 0.000 1.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.0000 0.8603 0.000 1.000
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#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 1 0.9944 0.8138 0.544 0.456
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.7745 0.5571 0.228 0.772
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.8661 0.2898 0.288 0.712
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.9323 0.4345 0.348 0.652
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 1 0.9710 0.8975 0.600 0.400
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.9710 0.8975 0.600 0.400
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.0000 0.8603 0.000 1.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0000 0.8603 0.000 1.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.4431 0.7729 0.092 0.908
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.0000 0.8603 0.000 1.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 1 0.9732 0.8946 0.596 0.404
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.8499 0.5170 0.276 0.724
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.4939 0.7614 0.108 0.892
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.0000 0.8603 0.000 1.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 1 0.9710 0.8975 0.600 0.400
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.0000 0.8603 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.924670 0.000 1.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.0000 0.924670 0.000 1.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0000 0.924670 0.000 1.000 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.0424 0.916789 0.000 0.992 0.008
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.1529 0.884975 0.000 0.960 0.040
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0892 0.536365 0.000 0.020 0.980
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.6796 0.035776 0.344 0.024 0.632
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.0000 0.924670 0.000 1.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.0000 0.924670 0.000 1.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.5058 0.763485 0.000 0.244 0.756
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0829 0.650265 0.984 0.012 0.004
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 3 0.8087 -0.087854 0.364 0.076 0.560
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.0000 0.924670 0.000 1.000 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.4887 0.770151 0.000 0.228 0.772
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.0000 0.924670 0.000 1.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.0000 0.924670 0.000 1.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.5835 0.670667 0.000 0.340 0.660
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.0000 0.924670 0.000 1.000 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0000 0.924670 0.000 1.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0000 0.924670 0.000 1.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.9922 -0.410482 0.300 0.396 0.304
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.6026 0.622278 0.000 0.376 0.624
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0000 0.924670 0.000 1.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.4887 0.770151 0.000 0.228 0.772
#> 032E0758-7A5B-405B-88D3-74C527605780 2 0.0000 0.924670 0.000 1.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0000 0.924670 0.000 1.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0000 0.924670 0.000 1.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 3 0.7517 -0.042425 0.364 0.048 0.588
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0000 0.924670 0.000 1.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.4261 0.759425 0.012 0.848 0.140
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 3 0.7534 -0.042234 0.368 0.048 0.584
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.4887 0.770151 0.000 0.228 0.772
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.4887 0.770151 0.000 0.228 0.772
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0000 0.924670 0.000 1.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 2 0.6018 0.429701 0.308 0.684 0.008
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0000 0.924670 0.000 1.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.4887 0.770151 0.000 0.228 0.772
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 1 0.9930 0.468887 0.368 0.276 0.356
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.4887 0.770151 0.000 0.228 0.772
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.5058 0.763485 0.000 0.244 0.756
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.0424 0.917767 0.000 0.992 0.008
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.0829 0.650265 0.984 0.012 0.004
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.0000 0.924670 0.000 1.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.0424 0.917640 0.000 0.992 0.008
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.0000 0.924670 0.000 1.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.5541 0.458572 0.740 0.252 0.008
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 1 0.9976 0.469098 0.368 0.316 0.316
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0000 0.924670 0.000 1.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 1 0.9938 0.472846 0.368 0.280 0.352
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.0000 0.924670 0.000 1.000 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 1 0.9938 0.472846 0.368 0.280 0.352
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.5058 0.763485 0.000 0.244 0.756
#> FE2C169A-E41F-45EB-B61E-776493069D78 3 0.6252 0.043028 0.344 0.008 0.648
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.5058 0.763485 0.000 0.244 0.756
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.4887 0.770151 0.000 0.228 0.772
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0829 0.650265 0.984 0.012 0.004
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.0000 0.924670 0.000 1.000 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 3 0.7534 -0.051250 0.368 0.048 0.584
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.0424 0.917495 0.000 0.992 0.008
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.5560 0.710053 0.000 0.300 0.700
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 2 0.0000 0.924670 0.000 1.000 0.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 1 0.9938 0.472846 0.368 0.280 0.352
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.4413 0.542432 0.832 0.160 0.008
#> B40B9470-990D-4443-8484-17266E829557 1 0.1170 0.648772 0.976 0.016 0.008
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 2 0.0000 0.924670 0.000 1.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 2 0.0747 0.909949 0.000 0.984 0.016
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.4555 0.637163 0.000 0.800 0.200
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0000 0.924670 0.000 1.000 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.5506 0.579472 0.016 0.764 0.220
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 2 0.0000 0.924670 0.000 1.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 2 0.0000 0.924670 0.000 1.000 0.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0000 0.924670 0.000 1.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 1 0.0829 0.650265 0.984 0.012 0.004
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.0000 0.924670 0.000 1.000 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.4887 0.770151 0.000 0.228 0.772
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.6625 0.196878 0.552 0.440 0.008
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.6434 0.261869 0.380 0.612 0.008
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.4887 0.770151 0.000 0.228 0.772
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 2 0.0000 0.924670 0.000 1.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.0000 0.924670 0.000 1.000 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.0000 0.924670 0.000 1.000 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 1 0.3896 0.571275 0.864 0.128 0.008
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.4887 0.770151 0.000 0.228 0.772
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 3 0.7245 -0.031718 0.368 0.036 0.596
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 2 0.0000 0.924670 0.000 1.000 0.000
#> EB5CF362-6974-4137-AC92-2051B1594E13 1 0.9909 0.460274 0.368 0.268 0.364
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 1 0.9938 0.472846 0.368 0.280 0.352
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0829 0.650265 0.984 0.012 0.004
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 3 0.7442 -0.043799 0.368 0.044 0.588
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 3 0.7245 -0.034730 0.368 0.036 0.596
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.3120 0.593527 0.012 0.080 0.908
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.0000 0.924670 0.000 1.000 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.4887 0.770151 0.000 0.228 0.772
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.1774 0.514398 0.016 0.024 0.960
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 2 0.0000 0.924670 0.000 1.000 0.000
#> 2C2589E0-2055-43AC-8001-1643839F80D4 3 0.6267 0.481100 0.000 0.452 0.548
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.5058 0.763485 0.000 0.244 0.756
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 2 0.0000 0.924670 0.000 1.000 0.000
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 2 0.0000 0.924670 0.000 1.000 0.000
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.6062 0.081810 0.000 0.616 0.384
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 3 0.7424 -0.035156 0.364 0.044 0.592
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.0000 0.924670 0.000 1.000 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 2 0.0000 0.924670 0.000 1.000 0.000
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.0237 0.921429 0.004 0.996 0.000
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 1 0.1337 0.647409 0.972 0.012 0.016
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 3 0.6225 0.531123 0.000 0.432 0.568
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 1 0.9938 0.472846 0.368 0.280 0.352
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 2 0.0000 0.924670 0.000 1.000 0.000
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 2 0.0000 0.924670 0.000 1.000 0.000
#> A3AC663C-1578-4946-AED3-2FF9A739168E 1 0.9938 0.472846 0.368 0.280 0.352
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.0000 0.924670 0.000 1.000 0.000
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 1 0.6274 -0.000764 0.544 0.000 0.456
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.4887 0.770151 0.000 0.228 0.772
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.5058 0.763485 0.000 0.244 0.756
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 1 0.1015 0.648932 0.980 0.012 0.008
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.4796 0.764390 0.000 0.220 0.780
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 2 0.0000 0.924670 0.000 1.000 0.000
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 1 0.9909 0.460274 0.368 0.268 0.364
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.4931 0.768911 0.000 0.232 0.768
#> 4ED692EB-E194-49D7-9222-6232051426E5 2 0.4469 0.756530 0.120 0.852 0.028
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 2 0.0000 0.924670 0.000 1.000 0.000
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.4887 0.770151 0.000 0.228 0.772
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 2 0.0000 0.924670 0.000 1.000 0.000
#> 64B33223-EB30-49ED-A3D8-5AC598845465 3 0.5591 0.707004 0.000 0.304 0.696
#> 21599029-B6C9-4385-B87C-FDB99F956118 3 0.0424 0.519370 0.000 0.008 0.992
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 1 0.9976 0.469098 0.368 0.316 0.316
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 3 0.4931 0.768499 0.000 0.232 0.768
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 2 0.6126 0.304824 0.352 0.644 0.004
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 1 0.1015 0.649644 0.980 0.012 0.008
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 1 0.9938 0.472846 0.368 0.280 0.352
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 2 0.0000 0.924670 0.000 1.000 0.000
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 3 0.9964 0.219121 0.336 0.296 0.368
#> 8902E88F-181A-46FE-9C80-F11C107B33E4 2 0.1765 0.880911 0.004 0.956 0.040
#> 24F2D373-AE15-47B0-8F1B-740426145C2C 2 0.0000 0.924670 0.000 1.000 0.000
#> A154A921-EB14-48DF-BF70-AE765CCE5CAB 1 0.0829 0.650265 0.984 0.012 0.004
#> D508AD79-2273-4E78-A6EE-97FBAAC7E851 2 0.0000 0.924670 0.000 1.000 0.000
#> 023D7F8E-5BD5-4AE8-8A7F-1851AA7F228A 3 0.6225 0.519310 0.000 0.432 0.568
#> 3BDE962B-6791-40BC-B3AA-C4D527FFEF22 2 0.0000 0.924670 0.000 1.000 0.000
#> 2F2D34BA-A568-470E-B0D9-5875E897FF39 3 0.4887 0.770151 0.000 0.228 0.772
#> 6DB55201-3973-4650-842E-842D5869C567 2 0.0000 0.924670 0.000 1.000 0.000
#> 258CFB91-4E4F-48F9-A483-9F6C4CFF0D3C 3 0.0892 0.524473 0.000 0.020 0.980
#> 5373681D-9C2C-46FE-AA89-05741DA4080B 2 0.0000 0.924670 0.000 1.000 0.000
#> 050B778A-9D6F-4742-B6AA-CBF8541F6203 1 0.0829 0.650265 0.984 0.012 0.004
#> 46FAC69E-DB01-452F-A3EE-D7339DD562CE 2 0.0000 0.924670 0.000 1.000 0.000
#> 2115D9F7-F4A9-4408-9AEF-BCFAF10C4867 2 0.4861 0.650133 0.192 0.800 0.008
#> DCEFC413-9710-4863-A5B1-8EFBA98CF126 2 0.0000 0.924670 0.000 1.000 0.000
#> 49CA7C56-BD81-4E36-9E50-EF36EDDD8D28 2 0.0000 0.924670 0.000 1.000 0.000
#> 9A497869-8F26-438D-85B0-C2CB39E487AE 2 0.0000 0.924670 0.000 1.000 0.000
#> D7B44985-AF29-44DF-8966-1228629EE8E2 2 0.9917 -0.433344 0.272 0.376 0.352
#> 65343EA3-C1AA-4AA6-BC96-D8DE39E48000 3 0.5058 0.763485 0.000 0.244 0.756
#> 38C30CDE-2564-40A0-9594-FFA8D8330585 2 0.0424 0.916789 0.000 0.992 0.008
#> 660A826B-C49F-4D57-9778-C2FCD600FFA1 1 0.1170 0.648772 0.976 0.016 0.008
#> C5F7AAB7-8C35-4AC8-BFD2-6F3C9F3F9586 2 0.0000 0.924670 0.000 1.000 0.000
#> FE7A09A1-ACB3-4E9C-A481-060678E3FBDC 2 0.0000 0.924670 0.000 1.000 0.000
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#> 3977EBDA-AD30-4AA0-AC75-E33086DC533D 2 0.0000 0.924670 0.000 1.000 0.000
#> 8D361255-E352-4248-9FDF-0A6602CB419D 2 0.0000 0.924670 0.000 1.000 0.000
#> 18AE7FAE-0B1E-4F52-BEC6-6158E61EB679 1 0.0829 0.650265 0.984 0.012 0.004
#> 5F005483-D289-4A3E-BD1E-0A4B3C655951 3 0.9175 -0.129906 0.216 0.244 0.540
#> D3803F45-EB0C-4FAD-8C7B-F3755FBF496D 3 0.4887 0.770151 0.000 0.228 0.772
#> DF8D09B4-1F48-4D86-A379-1BB16E114CBE 2 0.0237 0.921151 0.000 0.996 0.004
#> 2A6CB7AD-79C2-4D43-8D97-61A4A6A79D3B 2 0.0000 0.924670 0.000 1.000 0.000
#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 3 0.4887 0.770151 0.000 0.228 0.772
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 2 0.0000 0.924670 0.000 1.000 0.000
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 2 0.0000 0.924670 0.000 1.000 0.000
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 3 0.7624 -0.059229 0.368 0.052 0.580
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 3 0.7442 -0.043799 0.368 0.044 0.588
#> 16D23472-C0CB-49F9-9139-77920C50235F 2 0.0000 0.924670 0.000 1.000 0.000
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 3 0.4887 0.770151 0.000 0.228 0.772
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.0829 0.650265 0.984 0.012 0.004
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 2 0.1482 0.895223 0.012 0.968 0.020
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 2 0.0000 0.924670 0.000 1.000 0.000
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 2 0.0000 0.924670 0.000 1.000 0.000
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 3 0.8013 -0.092374 0.364 0.072 0.564
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 2 0.5506 0.579472 0.016 0.764 0.220
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 2 0.0000 0.924670 0.000 1.000 0.000
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 3 0.9885 -0.461367 0.368 0.260 0.372
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 1 0.0829 0.650265 0.984 0.012 0.004
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 2 0.0000 0.924670 0.000 1.000 0.000
#> D14A535D-5C31-4D78-8F92-3B50922211A2 3 0.4887 0.770151 0.000 0.228 0.772
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.0000 0.924670 0.000 1.000 0.000
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.0000 0.924670 0.000 1.000 0.000
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 3 0.4605 0.750434 0.000 0.204 0.796
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 3 0.5760 0.676470 0.000 0.328 0.672
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.0000 0.924670 0.000 1.000 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 3 0.0424 0.519370 0.000 0.008 0.992
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 1 0.0829 0.650265 0.984 0.012 0.004
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.0000 0.924670 0.000 1.000 0.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.0424 0.916789 0.000 0.992 0.008
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.0000 0.924670 0.000 1.000 0.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 2 0.0000 0.924670 0.000 1.000 0.000
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.0000 0.924670 0.000 1.000 0.000
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.5810 0.666366 0.000 0.336 0.664
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.0829 0.650265 0.984 0.012 0.004
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.4953 0.664401 0.016 0.808 0.176
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 3 0.5591 0.700780 0.000 0.304 0.696
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.0000 0.924670 0.000 1.000 0.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.0000 0.924670 0.000 1.000 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 3 0.6796 -0.012459 0.368 0.020 0.612
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.0000 0.924670 0.000 1.000 0.000
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 2 0.0000 0.924670 0.000 1.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.0000 0.924670 0.000 1.000 0.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 3 0.8637 0.575071 0.152 0.260 0.588
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.0000 0.924670 0.000 1.000 0.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 1 0.9909 0.460274 0.368 0.268 0.364
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.0000 0.924670 0.000 1.000 0.000
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.0000 0.924670 0.000 1.000 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.0000 0.924670 0.000 1.000 0.000
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.0000 0.924670 0.000 1.000 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.4887 0.770151 0.000 0.228 0.772
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.4887 0.770151 0.000 0.228 0.772
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.0000 0.924670 0.000 1.000 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.0000 0.924670 0.000 1.000 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.0000 0.924670 0.000 1.000 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.0000 0.924670 0.000 1.000 0.000
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.4887 0.770151 0.000 0.228 0.772
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 2 0.0592 0.913589 0.000 0.988 0.012
#> DD8F70E2-3827-4603-8971-E420450D919C 1 0.9976 0.469098 0.368 0.316 0.316
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.0000 0.924670 0.000 1.000 0.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 2 0.0000 0.924670 0.000 1.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.9410 -0.140933 0.276 0.504 0.220
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.0000 0.924670 0.000 1.000 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 2 0.0000 0.924670 0.000 1.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.0000 0.924670 0.000 1.000 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 1 0.9981 0.465022 0.364 0.320 0.316
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.8668 0.248027 0.224 0.596 0.180
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.0000 0.924670 0.000 1.000 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 3 0.6777 -0.003637 0.364 0.020 0.616
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.4887 0.770151 0.000 0.228 0.772
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.5327 0.732856 0.000 0.272 0.728
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.0000 0.924670 0.000 1.000 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.4887 0.770151 0.000 0.228 0.772
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 1 0.9938 0.472846 0.368 0.280 0.352
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.2448 0.846129 0.076 0.924 0.000
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.0000 0.924670 0.000 1.000 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 3 0.6521 0.194058 0.248 0.040 0.712
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.4887 0.770151 0.000 0.228 0.772
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.5058 0.763485 0.000 0.244 0.756
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.0000 0.924670 0.000 1.000 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.0000 0.924670 0.000 1.000 0.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.4887 0.770151 0.000 0.228 0.772
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.0000 0.924670 0.000 1.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.0000 0.924670 0.000 1.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 2 0.0000 0.924670 0.000 1.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.4887 0.770151 0.000 0.228 0.772
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 1 0.9976 0.469098 0.368 0.316 0.316
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 3 0.7442 -0.047500 0.368 0.044 0.588
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.0424 0.917640 0.000 0.992 0.008
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.4887 0.770151 0.000 0.228 0.772
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.4453 0.724500 0.012 0.836 0.152
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.4887 0.770151 0.000 0.228 0.772
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 2 0.0000 0.924670 0.000 1.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.0000 0.924670 0.000 1.000 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0000 0.924670 0.000 1.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.0000 0.924670 0.000 1.000 0.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.4887 0.770151 0.000 0.228 0.772
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.4887 0.770151 0.000 0.228 0.772
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.0000 0.924670 0.000 1.000 0.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.1031 0.901674 0.000 0.976 0.024
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.0000 0.924670 0.000 1.000 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.0000 0.924670 0.000 1.000 0.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 2 0.0000 0.924670 0.000 1.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0000 0.924670 0.000 1.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0000 0.924670 0.000 1.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0000 0.924670 0.000 1.000 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0000 0.924670 0.000 1.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.0000 0.924670 0.000 1.000 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.924670 0.000 1.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 1 0.9938 0.472846 0.368 0.280 0.352
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.2165 0.856005 0.000 0.936 0.064
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.924670 0.000 1.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.4887 0.770151 0.000 0.228 0.772
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0000 0.924670 0.000 1.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 2 0.0000 0.924670 0.000 1.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 3 0.8936 -0.237064 0.368 0.132 0.500
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.4887 0.770151 0.000 0.228 0.772
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.2165 0.855303 0.000 0.936 0.064
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0000 0.924670 0.000 1.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.4887 0.770151 0.000 0.228 0.772
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 1 0.9946 0.472903 0.368 0.284 0.348
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.1411 0.887881 0.000 0.964 0.036
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.7534 -0.051250 0.368 0.048 0.584
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.924670 0.000 1.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 1 0.9938 0.472846 0.368 0.280 0.352
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.5810 0.666296 0.000 0.336 0.664
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 1 0.9938 0.472846 0.368 0.280 0.352
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.9451 -0.239861 0.364 0.452 0.184
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.5012 0.503894 0.788 0.204 0.008
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.4887 0.770151 0.000 0.228 0.772
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.4887 0.770151 0.000 0.228 0.772
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.0000 0.924670 0.000 1.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0000 0.924670 0.000 1.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.3377 0.808092 0.012 0.896 0.092
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.0000 0.924670 0.000 1.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.5058 0.763485 0.000 0.244 0.756
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.5728 0.501657 0.272 0.720 0.008
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.9808 -0.329158 0.264 0.428 0.308
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.0000 0.924670 0.000 1.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.4887 0.770151 0.000 0.228 0.772
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.0000 0.924670 0.000 1.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.9496 0.000 1.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.1004 0.9416 0.024 0.972 0.000 0.004
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.3504 0.8613 0.036 0.872 0.008 0.084
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.1114 0.9373 0.004 0.972 0.016 0.008
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.2961 0.8970 0.040 0.904 0.044 0.012
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.1042 0.8117 0.008 0.000 0.972 0.020
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0657 0.8876 0.000 0.004 0.012 0.984
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.1305 0.9362 0.036 0.960 0.000 0.004
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.4781 0.7479 0.032 0.176 0.780 0.012
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.1492 0.9492 0.956 0.004 0.004 0.036
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.1509 0.8828 0.008 0.012 0.020 0.960
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.1917 0.9234 0.036 0.944 0.008 0.012
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.1151 0.8391 0.008 0.024 0.968 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.6379 0.3593 0.040 0.424 0.524 0.012
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.1917 0.9253 0.036 0.944 0.008 0.012
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0000 0.9496 0.000 1.000 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0000 0.9496 0.000 1.000 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 4 0.1396 0.8863 0.004 0.032 0.004 0.960
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.6175 0.4282 0.032 0.400 0.556 0.012
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0779 0.9447 0.016 0.980 0.000 0.004
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#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 1 0.1452 0.9470 0.956 0.000 0.008 0.036
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> D14A535D-5C31-4D78-8F92-3B50922211A2 3 0.1151 0.8391 0.008 0.024 0.968 0.000
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.3442 0.8760 0.040 0.880 0.012 0.068
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.1917 0.9234 0.036 0.944 0.008 0.012
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 3 0.2353 0.8200 0.040 0.008 0.928 0.024
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 3 0.5025 0.7260 0.032 0.200 0.756 0.012
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.0000 0.9496 0.000 1.000 0.000 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 3 0.1042 0.8117 0.008 0.000 0.972 0.020
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 1 0.1398 0.9464 0.956 0.000 0.004 0.040
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.0844 0.9423 0.004 0.980 0.012 0.004
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.0000 0.9496 0.000 1.000 0.000 0.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 2 0.1256 0.9375 0.028 0.964 0.000 0.008
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.0188 0.9491 0.004 0.996 0.000 0.000
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.5114 0.7237 0.036 0.200 0.752 0.012
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.1771 0.9515 0.948 0.012 0.004 0.036
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 4 0.4514 0.6478 0.008 0.228 0.008 0.756
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 3 0.2495 0.8283 0.036 0.028 0.924 0.012
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.0336 0.9481 0.008 0.992 0.000 0.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.1004 0.9411 0.024 0.972 0.000 0.004
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 4 0.0895 0.8861 0.000 0.004 0.020 0.976
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.1878 0.9248 0.040 0.944 0.008 0.008
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 2 0.0524 0.9467 0.004 0.988 0.008 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.0000 0.9496 0.000 1.000 0.000 0.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 3 0.6388 0.2644 0.040 0.016 0.564 0.380
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.0895 0.8925 0.000 0.020 0.004 0.976
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.4734 0.7419 0.040 0.776 0.004 0.180
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.1639 0.9289 0.036 0.952 0.004 0.008
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.1443 0.9388 0.028 0.960 0.008 0.004
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.1151 0.8391 0.008 0.024 0.968 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.2484 0.8281 0.040 0.024 0.924 0.012
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.0000 0.9496 0.000 1.000 0.000 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.0000 0.9496 0.000 1.000 0.000 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.2010 0.9218 0.040 0.940 0.008 0.012
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.1151 0.8391 0.008 0.024 0.968 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 2 0.1917 0.9253 0.036 0.944 0.008 0.012
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.0895 0.8925 0.000 0.020 0.004 0.976
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.0336 0.9481 0.008 0.992 0.000 0.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 2 0.0927 0.9435 0.016 0.976 0.000 0.008
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 4 0.2586 0.8460 0.008 0.068 0.012 0.912
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.0336 0.9471 0.000 0.992 0.008 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.0524 0.9467 0.004 0.988 0.008 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.0895 0.8927 0.000 0.020 0.004 0.976
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 4 0.6017 0.5164 0.040 0.276 0.020 0.664
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.1004 0.8864 0.000 0.004 0.024 0.972
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.1151 0.8391 0.008 0.024 0.968 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.2587 0.8280 0.040 0.028 0.920 0.012
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.0000 0.9496 0.000 1.000 0.000 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.1356 0.8396 0.008 0.032 0.960 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.0895 0.8927 0.000 0.020 0.004 0.976
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.0992 0.9431 0.004 0.976 0.008 0.012
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.3489 0.8233 0.008 0.856 0.012 0.124
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 4 0.1786 0.8642 0.036 0.008 0.008 0.948
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.1004 0.8394 0.000 0.024 0.972 0.004
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.4946 0.7336 0.032 0.192 0.764 0.012
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.0376 0.9488 0.004 0.992 0.004 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.0376 0.9481 0.004 0.992 0.004 0.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.1004 0.8397 0.004 0.024 0.972 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.0804 0.9443 0.012 0.980 0.008 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.1151 0.8391 0.008 0.024 0.968 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.0895 0.8927 0.000 0.020 0.004 0.976
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.0895 0.8861 0.000 0.004 0.020 0.976
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.2010 0.9236 0.040 0.940 0.008 0.012
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.1305 0.8395 0.000 0.036 0.960 0.004
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.5598 0.6793 0.040 0.728 0.024 0.208
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.1151 0.8391 0.008 0.024 0.968 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.1191 0.9376 0.024 0.968 0.004 0.004
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0000 0.9496 0.000 1.000 0.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.2010 0.9236 0.040 0.940 0.008 0.012
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.1151 0.8391 0.008 0.024 0.968 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.1004 0.8394 0.000 0.024 0.972 0.004
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.1674 0.9279 0.032 0.952 0.004 0.012
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.2010 0.9236 0.040 0.940 0.008 0.012
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.0336 0.9471 0.000 0.992 0.008 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.0712 0.9455 0.008 0.984 0.004 0.004
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0000 0.9496 0.000 1.000 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0336 0.9481 0.008 0.992 0.000 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.1256 0.9361 0.028 0.964 0.000 0.008
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.9496 0.000 1.000 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.0707 0.8928 0.000 0.020 0.000 0.980
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.2099 0.9221 0.044 0.936 0.008 0.012
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.9496 0.000 1.000 0.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.1151 0.8391 0.008 0.024 0.968 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0000 0.9496 0.000 1.000 0.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 2 0.1151 0.9396 0.024 0.968 0.000 0.008
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.1042 0.8892 0.000 0.008 0.020 0.972
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.1004 0.8394 0.000 0.024 0.972 0.004
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.2262 0.9171 0.040 0.932 0.016 0.012
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0895 0.8376 0.000 0.020 0.976 0.004
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.0707 0.8928 0.000 0.020 0.000 0.980
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.2141 0.9216 0.040 0.936 0.012 0.012
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0524 0.8876 0.000 0.004 0.008 0.988
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0188 0.9489 0.000 0.996 0.004 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.0895 0.8927 0.000 0.020 0.004 0.976
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.5063 0.7214 0.032 0.204 0.752 0.012
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.0895 0.8925 0.000 0.020 0.004 0.976
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.3710 0.6701 0.000 0.192 0.004 0.804
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.1724 0.9311 0.948 0.032 0.000 0.020
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.1004 0.8397 0.004 0.024 0.972 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.1004 0.8397 0.004 0.024 0.972 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0000 0.9496 0.000 1.000 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.3322 0.8918 0.040 0.892 0.036 0.032
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.4946 0.7336 0.032 0.192 0.764 0.012
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.4458 0.6991 0.196 0.780 0.016 0.008
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.1821 0.8821 0.008 0.032 0.012 0.948
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.0188 0.9497 0.004 0.996 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.1151 0.8391 0.008 0.024 0.968 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.0921 0.9417 0.028 0.972 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.4030 0.60419 0.648 0.352 0.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.3366 0.57899 0.784 0.212 0.000 0.000 0.004
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.3895 0.46170 0.264 0.728 0.004 0.004 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.4286 0.59990 0.652 0.340 0.004 0.000 0.004
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.4752 0.39864 0.428 0.556 0.012 0.000 0.004
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0566 0.78750 0.000 0.012 0.984 0.004 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.2074 0.86842 0.000 0.104 0.000 0.896 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.3990 0.63118 0.688 0.308 0.000 0.000 0.004
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.3123 0.45036 0.812 0.184 0.000 0.000 0.004
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.6301 0.53370 0.364 0.140 0.492 0.000 0.004
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.0290 0.92111 0.000 0.000 0.000 0.008 0.992
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.4291 0.53311 0.000 0.464 0.000 0.536 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 1 0.3010 0.25390 0.824 0.172 0.000 0.000 0.004
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0162 0.79146 0.004 0.000 0.996 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.3949 0.63225 0.696 0.300 0.000 0.000 0.004
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.3949 0.63225 0.696 0.300 0.000 0.000 0.004
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 1 0.6075 -0.24955 0.544 0.328 0.124 0.000 0.004
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.1282 0.35119 0.952 0.044 0.000 0.000 0.004
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.4297 0.41163 0.528 0.472 0.000 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.3983 0.61542 0.660 0.340 0.000 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 4 0.2471 0.86056 0.000 0.136 0.000 0.864 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 1 0.4589 -0.08155 0.660 0.020 0.316 0.000 0.004
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.3177 0.45048 0.208 0.792 0.000 0.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.4926 0.69970 0.152 0.132 0.716 0.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.4029 0.62810 0.680 0.316 0.000 0.000 0.004
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.4015 0.60775 0.652 0.348 0.000 0.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.4171 0.02327 0.396 0.604 0.000 0.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.1965 0.87207 0.000 0.096 0.000 0.904 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.3983 0.61394 0.660 0.340 0.000 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.4877 0.41574 0.328 0.640 0.004 0.024 0.004
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.1626 0.85171 0.000 0.044 0.016 0.940 0.000
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0162 0.79146 0.004 0.000 0.996 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0162 0.79146 0.004 0.000 0.996 0.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.4304 0.34228 0.516 0.484 0.000 0.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.6576 0.34359 0.460 0.352 0.004 0.000 0.184
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#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 2 0.3061 0.47616 0.136 0.844 0.000 0.020 0.000
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.3969 0.63196 0.692 0.304 0.000 0.000 0.004
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 2 0.4516 0.40520 0.416 0.576 0.004 0.000 0.004
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 4 0.1965 0.87207 0.000 0.096 0.000 0.904 0.000
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 2 0.2984 0.47734 0.016 0.856 0.004 0.124 0.000
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 1 0.4210 0.53055 0.588 0.412 0.000 0.000 0.000
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 4 0.1121 0.85739 0.000 0.044 0.000 0.956 0.000
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 5 0.0290 0.92111 0.000 0.000 0.000 0.008 0.992
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 1 0.3990 0.63151 0.688 0.308 0.000 0.000 0.004
#> D14A535D-5C31-4D78-8F92-3B50922211A2 3 0.0162 0.79146 0.004 0.000 0.996 0.000 0.000
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.4101 0.42501 0.372 0.628 0.000 0.000 0.000
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 1 0.2674 0.32050 0.856 0.140 0.000 0.000 0.004
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 3 0.6653 0.52862 0.304 0.192 0.496 0.004 0.004
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 1 0.4702 -0.47727 0.512 0.008 0.476 0.000 0.004
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 1 0.3983 0.61542 0.660 0.340 0.000 0.000 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 3 0.0162 0.78720 0.000 0.000 0.996 0.004 0.000
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 5 0.0290 0.92111 0.000 0.000 0.000 0.008 0.992
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 1 0.3990 0.63118 0.688 0.308 0.000 0.000 0.004
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 1 0.4200 0.62627 0.672 0.320 0.004 0.000 0.004
#> B2010F2F-71D4-4637-BD7A-794E99732E03 1 0.4101 0.58204 0.628 0.372 0.000 0.000 0.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 1 0.1571 0.43348 0.936 0.060 0.000 0.000 0.004
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.4088 0.12257 0.368 0.632 0.000 0.000 0.000
#> 212CB113-E765-4146-AC8A-B34044E2A849 1 0.5181 -0.45269 0.512 0.032 0.452 0.000 0.004
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 5 0.0290 0.92111 0.000 0.000 0.000 0.008 0.992
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.4350 0.20100 0.028 0.704 0.000 0.268 0.000
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 3 0.5475 0.61418 0.308 0.076 0.612 0.000 0.004
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.3561 0.37418 0.260 0.740 0.000 0.000 0.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.4300 0.05619 0.476 0.524 0.000 0.000 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 4 0.1121 0.85739 0.000 0.044 0.000 0.956 0.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 1 0.4430 -0.30377 0.540 0.456 0.000 0.000 0.004
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.3969 0.63196 0.692 0.304 0.000 0.000 0.004
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 1 0.4060 0.59549 0.640 0.360 0.000 0.000 0.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 3 0.7297 0.29438 0.272 0.320 0.388 0.016 0.004
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.3949 0.63225 0.696 0.300 0.000 0.000 0.004
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.0510 0.85995 0.000 0.016 0.000 0.984 0.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.4383 0.40343 0.424 0.572 0.000 0.000 0.004
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 1 0.3430 0.18086 0.776 0.220 0.000 0.000 0.004
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 1 0.2439 0.48708 0.876 0.120 0.000 0.000 0.004
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 1 0.3990 0.63118 0.688 0.308 0.000 0.000 0.004
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0162 0.79146 0.004 0.000 0.996 0.000 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.6472 0.55418 0.308 0.184 0.504 0.000 0.004
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.3895 0.62724 0.680 0.320 0.000 0.000 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 1 0.3966 0.61844 0.664 0.336 0.000 0.000 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 1 0.4101 0.62143 0.664 0.332 0.000 0.000 0.004
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 1 0.2389 0.25500 0.880 0.116 0.000 0.000 0.004
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0162 0.79146 0.004 0.000 0.996 0.000 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.0162 0.39006 0.996 0.000 0.000 0.000 0.004
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.2020 0.87121 0.000 0.100 0.000 0.900 0.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.2929 0.45155 0.180 0.820 0.000 0.000 0.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.2488 0.50254 0.872 0.124 0.000 0.000 0.004
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.4211 -0.15401 0.000 0.636 0.004 0.360 0.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 1 0.4171 0.54672 0.604 0.396 0.000 0.000 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.3990 0.63118 0.688 0.308 0.000 0.000 0.004
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.3966 0.25481 0.336 0.664 0.000 0.000 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.1965 0.87207 0.000 0.096 0.000 0.904 0.000
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.5405 0.34346 0.356 0.588 0.004 0.048 0.004
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.3969 0.63214 0.692 0.304 0.000 0.000 0.004
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.0510 0.86045 0.000 0.016 0.000 0.984 0.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0162 0.79146 0.004 0.000 0.996 0.000 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.5456 0.61904 0.316 0.072 0.608 0.000 0.004
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 0.4182 0.54621 0.600 0.400 0.000 0.000 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.1981 0.77417 0.028 0.048 0.924 0.000 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.1965 0.87207 0.000 0.096 0.000 0.904 0.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 1 0.4291 0.46178 0.536 0.464 0.000 0.000 0.000
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.2678 0.49467 0.100 0.880 0.004 0.016 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.4507 -0.28894 0.004 0.580 0.000 0.412 0.004
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0510 0.78990 0.016 0.000 0.984 0.000 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.6226 0.53217 0.376 0.128 0.492 0.000 0.004
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.4505 0.07163 0.384 0.604 0.000 0.012 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.2891 0.45913 0.176 0.824 0.000 0.000 0.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0162 0.79146 0.004 0.000 0.996 0.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.3461 0.46137 0.224 0.772 0.004 0.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.4047 0.62642 0.676 0.320 0.000 0.000 0.004
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 2 0.4452 -0.25446 0.496 0.500 0.000 0.000 0.004
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0162 0.79146 0.004 0.000 0.996 0.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.1965 0.87207 0.000 0.096 0.000 0.904 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.1121 0.85739 0.000 0.044 0.000 0.956 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 1 0.1430 0.33187 0.944 0.052 0.000 0.000 0.004
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.1965 0.77380 0.024 0.052 0.924 0.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.5087 0.37055 0.364 0.600 0.004 0.028 0.004
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0162 0.79146 0.004 0.000 0.996 0.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.3969 0.63196 0.692 0.304 0.000 0.000 0.004
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.3300 0.49556 0.792 0.204 0.000 0.000 0.004
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.4182 0.06303 0.400 0.600 0.000 0.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.1357 0.34239 0.948 0.048 0.000 0.000 0.004
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0162 0.79146 0.004 0.000 0.996 0.000 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0963 0.78588 0.036 0.000 0.964 0.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 0.2488 0.46055 0.872 0.124 0.000 0.000 0.004
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.1205 0.34893 0.956 0.040 0.000 0.000 0.004
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.4030 0.60419 0.648 0.352 0.000 0.000 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.3300 0.42775 0.204 0.792 0.000 0.004 0.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.3990 0.63118 0.688 0.308 0.000 0.000 0.004
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.4030 0.60537 0.648 0.352 0.000 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.4047 0.62744 0.676 0.320 0.000 0.000 0.004
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.2605 0.47534 0.148 0.852 0.000 0.000 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.4101 0.62068 0.664 0.332 0.000 0.000 0.004
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.2890 0.36839 0.836 0.160 0.000 0.000 0.004
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.4307 -0.28460 0.496 0.504 0.000 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.1908 0.87188 0.000 0.092 0.000 0.908 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 1 0.4270 -0.21306 0.656 0.336 0.004 0.000 0.004
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.4304 -0.23572 0.484 0.516 0.000 0.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0162 0.79146 0.004 0.000 0.996 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.4138 0.11621 0.384 0.616 0.000 0.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.2806 0.52813 0.844 0.152 0.000 0.000 0.004
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.3684 0.70206 0.000 0.280 0.000 0.720 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.1124 0.78612 0.036 0.004 0.960 0.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.4524 0.40453 0.420 0.572 0.004 0.000 0.004
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.4009 0.63029 0.684 0.312 0.000 0.000 0.004
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.2850 0.76071 0.036 0.092 0.872 0.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.1965 0.87207 0.000 0.096 0.000 0.904 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.1704 0.32157 0.928 0.068 0.000 0.000 0.004
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.1270 0.86771 0.000 0.052 0.000 0.948 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.4101 0.57811 0.628 0.372 0.000 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.2020 0.87177 0.000 0.100 0.000 0.900 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 1 0.4362 -0.20240 0.632 0.004 0.360 0.000 0.004
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.1121 0.85739 0.000 0.044 0.000 0.956 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.4818 0.65658 0.180 0.100 0.000 0.720 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 5 0.0865 0.91298 0.004 0.024 0.000 0.000 0.972
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0162 0.79146 0.004 0.000 0.996 0.000 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.0162 0.79146 0.004 0.000 0.996 0.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.4135 0.56934 0.656 0.340 0.000 0.000 0.004
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.4047 0.62642 0.676 0.320 0.000 0.000 0.004
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.4817 0.38302 0.384 0.596 0.008 0.008 0.004
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.3949 0.63225 0.696 0.300 0.000 0.000 0.004
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.6270 0.53696 0.364 0.136 0.496 0.000 0.004
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.6619 -0.28172 0.396 0.416 0.004 0.000 0.184
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.4264 -0.18956 0.000 0.620 0.004 0.376 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.3990 0.63151 0.688 0.308 0.000 0.000 0.004
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0162 0.79146 0.004 0.000 0.996 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.2806 0.50479 0.844 0.152 0.000 0.000 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.2946 7.03e-01 0.812 0.176 0.000 0.000 0.000 0.012
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.0865 7.48e-01 0.964 0.000 0.000 0.000 0.000 0.036
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.5208 6.66e-01 0.088 0.684 0.000 0.052 0.000 0.176
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.1616 7.36e-01 0.932 0.048 0.000 0.000 0.000 0.020
#> 82DA87CF-C067-44B3-A372-ECB056337B08 6 0.3139 5.86e-01 0.028 0.160 0.000 0.000 0.000 0.812
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.1633 8.68e-01 0.000 0.024 0.932 0.000 0.000 0.044
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0806 8.02e-01 0.000 0.008 0.000 0.972 0.000 0.020
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.1531 7.59e-01 0.928 0.068 0.000 0.000 0.000 0.004
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.3774 2.90e-01 0.664 0.008 0.000 0.000 0.000 0.328
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 6 0.3616 5.79e-01 0.012 0.008 0.232 0.000 0.000 0.748
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.0146 9.63e-01 0.000 0.000 0.000 0.000 0.996 0.004
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.6034 2.06e-01 0.000 0.320 0.000 0.416 0.000 0.264
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 6 0.5547 4.64e-01 0.312 0.160 0.000 0.000 0.000 0.528
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0146 8.90e-01 0.000 0.004 0.996 0.000 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0520 7.60e-01 0.984 0.008 0.000 0.000 0.000 0.008
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.0508 7.64e-01 0.984 0.004 0.000 0.000 0.000 0.012
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 6 0.5281 5.98e-01 0.148 0.168 0.024 0.000 0.000 0.660
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 6 0.4405 3.29e-01 0.472 0.024 0.000 0.000 0.000 0.504
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.4781 5.24e-01 0.672 0.140 0.000 0.000 0.000 0.188
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#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.1257 8.05e-01 0.000 0.028 0.000 0.952 0.000 0.020
#> 0B400F91-2355-43AB-AA86-725C21352AB7 6 0.4989 6.22e-01 0.220 0.140 0.000 0.000 0.000 0.640
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.3975 2.18e-01 0.452 0.544 0.000 0.000 0.000 0.004
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0146 8.90e-01 0.000 0.004 0.996 0.000 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.3756 4.88e-01 0.352 0.644 0.000 0.000 0.000 0.004
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.1204 7.37e-01 0.944 0.000 0.000 0.000 0.000 0.056
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.5645 5.56e-01 0.000 0.392 0.000 0.456 0.000 0.152
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.1701 8.55e-01 0.000 0.008 0.920 0.000 0.000 0.072
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 6 0.2968 5.75e-01 0.016 0.168 0.000 0.000 0.000 0.816
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.1501 7.59e-01 0.924 0.076 0.000 0.000 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.3023 7.97e-01 0.000 0.044 0.836 0.000 0.000 0.120
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.1334 8.06e-01 0.000 0.032 0.000 0.948 0.000 0.020
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 6 0.4101 4.92e-01 0.408 0.012 0.000 0.000 0.000 0.580
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.4356 7.95e-01 0.000 0.136 0.000 0.724 0.000 0.140
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.3314 6.52e-01 0.764 0.224 0.000 0.000 0.000 0.012
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.1418 8.08e-01 0.000 0.032 0.000 0.944 0.000 0.024
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 6 0.5410 6.26e-01 0.280 0.000 0.156 0.000 0.000 0.564
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.4672 7.78e-01 0.000 0.188 0.000 0.684 0.000 0.128
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.3305 6.79e-01 0.108 0.048 0.000 0.832 0.000 0.012
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 5 0.1176 9.50e-01 0.000 0.024 0.000 0.000 0.956 0.020
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.1969 8.63e-01 0.004 0.004 0.920 0.020 0.000 0.052
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.0146 8.90e-01 0.000 0.004 0.996 0.000 0.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.3248 6.59e-01 0.804 0.032 0.000 0.000 0.000 0.164
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.2119 7.58e-01 0.904 0.060 0.000 0.000 0.000 0.036
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 6 0.3533 4.86e-01 0.004 0.236 0.000 0.012 0.000 0.748
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0520 7.60e-01 0.984 0.008 0.000 0.000 0.000 0.008
#> 13138496-2362-49FA-9CBF-35EBB0843924 6 0.3801 5.81e-01 0.012 0.016 0.232 0.000 0.000 0.740
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.6198 3.86e-01 0.532 0.268 0.000 0.000 0.160 0.040
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.4906 5.81e-01 0.000 0.652 0.000 0.136 0.000 0.212
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0777 7.68e-01 0.972 0.024 0.000 0.000 0.000 0.004
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0146 8.90e-01 0.000 0.004 0.996 0.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.2980 5.71e-01 0.800 0.008 0.000 0.000 0.000 0.192
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17395 rows and 473 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 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 0.446 0.802 0.890 0.4871 0.505 0.505
#> 3 3 0.620 0.803 0.892 0.3276 0.747 0.542
#> 4 4 0.856 0.870 0.948 0.1040 0.873 0.664
#> 5 5 0.798 0.826 0.905 0.1050 0.883 0.616
#> 6 6 0.721 0.609 0.799 0.0453 0.923 0.665
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 5
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
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.0000 0.90047 1.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.0000 0.90047 1.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 1 0.1633 0.88034 0.976 0.024
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.7219 0.75137 0.800 0.200
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.8909 0.72353 0.308 0.692
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.0000 0.82705 0.000 1.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.0000 0.82705 0.000 1.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.90047 1.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.0000 0.90047 1.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.7219 0.84048 0.200 0.800
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 2 0.0938 0.82212 0.012 0.988
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0376 0.82780 0.004 0.996
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 1 0.0000 0.90047 1.000 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.7219 0.84048 0.200 0.800
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0000 0.90047 1.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.0000 0.90047 1.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.8327 0.77889 0.264 0.736
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.0000 0.90047 1.000 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.0000 0.90047 1.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.0000 0.90047 1.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 1 0.8555 0.67810 0.720 0.280
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.9710 0.57161 0.400 0.600
#> C42C8456-82F9-433C-82BA-F1284CDC425C 1 0.0000 0.90047 1.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 2 0.7219 0.84048 0.200 0.800
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0000 0.90047 1.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.0000 0.90047 1.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 1 0.0000 0.90047 1.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.0000 0.82705 0.000 1.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.0000 0.90047 1.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.7950 0.78695 0.240 0.760
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.0000 0.82705 0.000 1.000
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.7219 0.84048 0.200 0.800
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.7219 0.84048 0.200 0.800
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.0000 0.90047 1.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.7219 0.75137 0.800 0.200
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.0000 0.90047 1.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.0000 0.82705 0.000 1.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.0000 0.82705 0.000 1.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.4690 0.83801 0.100 0.900
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.7219 0.84048 0.200 0.800
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.9044 0.70689 0.320 0.680
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 2 0.0000 0.82705 0.000 1.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.0000 0.90047 1.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.1184 0.88698 0.984 0.016
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.0000 0.90047 1.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.9661 0.51196 0.608 0.392
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.9993 -0.20602 0.484 0.516
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.0000 0.90047 1.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.0000 0.82705 0.000 1.000
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.0000 0.90047 1.000 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.4690 0.75662 0.100 0.900
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.7219 0.84048 0.200 0.800
#> FE2C169A-E41F-45EB-B61E-776493069D78 2 0.0000 0.82705 0.000 1.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.2603 0.83311 0.044 0.956
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.7219 0.84048 0.200 0.800
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 2 0.0000 0.82705 0.000 1.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.0000 0.90047 1.000 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.0000 0.82705 0.000 1.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.9732 0.56376 0.404 0.596
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 2 0.7602 0.82412 0.220 0.780
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.2778 0.85613 0.952 0.048
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.5519 0.72582 0.128 0.872
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.8713 0.66254 0.708 0.292
#> B40B9470-990D-4443-8484-17266E829557 1 0.8661 0.66744 0.712 0.288
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.0000 0.90047 1.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 1 0.2043 0.87223 0.968 0.032
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.9686 0.57937 0.396 0.604
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 1 0.0000 0.90047 1.000 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 1 0.7219 0.75137 0.800 0.200
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0000 0.90047 1.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.0000 0.90047 1.000 0.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 1 0.0000 0.90047 1.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 1 0.9710 0.49740 0.600 0.400
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 1 0.7219 0.75137 0.800 0.200
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 2 0.7219 0.84048 0.200 0.800
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.7219 0.75137 0.800 0.200
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.7219 0.75137 0.800 0.200
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 2 0.7219 0.84048 0.200 0.800
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.0000 0.90047 1.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 1 0.0000 0.90047 1.000 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 1 0.0000 0.90047 1.000 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 1 0.8661 0.66744 0.712 0.288
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 2 0.7219 0.84048 0.200 0.800
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 2 0.0000 0.82705 0.000 1.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 1 0.2948 0.86746 0.948 0.052
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.0000 0.82705 0.000 1.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 2 0.0000 0.82705 0.000 1.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.9661 0.51196 0.608 0.392
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.0000 0.82705 0.000 1.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.0000 0.82705 0.000 1.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.0376 0.82786 0.004 0.996
#> 77744579-17ED-499B-92FD-089789C44F8A 1 0.0000 0.90047 1.000 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 2 0.7219 0.84048 0.200 0.800
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 2 0.0000 0.82705 0.000 1.000
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#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.0000 0.90047 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.0000 0.9184 1.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.0000 0.9184 1.000 0.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 1 0.9478 -0.0460 0.468 0.336 0.196
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.4555 0.7474 0.800 0.200 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.0000 0.8526 0.000 0.000 1.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.8526 0.000 0.000 1.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.5591 0.7391 0.000 0.696 0.304
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.9184 1.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.0000 0.9184 1.000 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0237 0.8526 0.004 0.000 0.996
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 2 0.0000 0.8087 0.000 1.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.4555 0.8510 0.000 0.800 0.200
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 1 0.1163 0.8943 0.972 0.000 0.028
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.8526 0.000 0.000 1.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0000 0.9184 1.000 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.0000 0.9184 1.000 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.4555 0.8035 0.200 0.000 0.800
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.0000 0.9184 1.000 0.000 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.0000 0.9184 1.000 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.0000 0.9184 1.000 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.4555 0.8510 0.000 0.800 0.200
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.4555 0.8035 0.200 0.000 0.800
#> C42C8456-82F9-433C-82BA-F1284CDC425C 1 0.0000 0.9184 1.000 0.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.8526 0.000 0.000 1.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0000 0.9184 1.000 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.0237 0.9159 0.996 0.004 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 1 0.0000 0.9184 1.000 0.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.4555 0.8510 0.000 0.800 0.200
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.0000 0.9184 1.000 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 3 0.3802 0.7532 0.032 0.080 0.888
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.4555 0.8510 0.000 0.800 0.200
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.8526 0.000 0.000 1.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.4399 0.8091 0.188 0.000 0.812
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.0000 0.9184 1.000 0.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.5178 0.6839 0.744 0.256 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.0000 0.9184 1.000 0.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.4555 0.7311 0.000 0.200 0.800
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.4555 0.8510 0.000 0.800 0.200
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0000 0.8526 0.000 0.000 1.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.4555 0.8035 0.200 0.000 0.800
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.4555 0.8035 0.200 0.000 0.800
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 2 0.0000 0.8087 0.000 1.000 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.0000 0.9184 1.000 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 3 0.4555 0.8035 0.200 0.000 0.800
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.0000 0.9184 1.000 0.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 2 0.5926 0.3084 0.356 0.644 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.4555 0.8510 0.000 0.800 0.200
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.0237 0.9154 0.996 0.000 0.004
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.4555 0.8510 0.000 0.800 0.200
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.0000 0.9184 1.000 0.000 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.4555 0.8510 0.000 0.800 0.200
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.4399 0.8091 0.188 0.000 0.812
#> FE2C169A-E41F-45EB-B61E-776493069D78 2 0.4842 0.8302 0.000 0.776 0.224
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.4555 0.7311 0.000 0.200 0.800
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0000 0.8526 0.000 0.000 1.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 2 0.0000 0.8087 0.000 1.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.0000 0.9184 1.000 0.000 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.4555 0.8510 0.000 0.800 0.200
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 3 0.4555 0.8035 0.200 0.000 0.800
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.4555 0.8035 0.200 0.000 0.800
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 3 0.5926 0.5919 0.356 0.000 0.644
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.4555 0.8510 0.000 0.800 0.200
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 2 0.5706 0.3984 0.320 0.680 0.000
#> B40B9470-990D-4443-8484-17266E829557 2 0.0000 0.8087 0.000 1.000 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.3686 0.8081 0.860 0.140 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 3 0.4555 0.8035 0.200 0.000 0.800
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 3 0.4555 0.8035 0.200 0.000 0.800
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 1 0.0000 0.9184 1.000 0.000 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.5536 0.8362 0.024 0.776 0.200
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0000 0.9184 1.000 0.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.5465 0.5173 0.712 0.000 0.288
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 1 0.0000 0.9184 1.000 0.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.0000 0.8087 0.000 1.000 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.4750 0.6125 0.216 0.784 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.0000 0.8526 0.000 0.000 1.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.6126 0.4356 0.600 0.400 0.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.6126 0.4356 0.600 0.400 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0237 0.8527 0.004 0.000 0.996
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.0000 0.9184 1.000 0.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 1 0.0000 0.9184 1.000 0.000 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 1 0.0000 0.9184 1.000 0.000 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.0000 0.8087 0.000 1.000 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0000 0.8526 0.000 0.000 1.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 2 0.4555 0.8510 0.000 0.800 0.200
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 1 0.4555 0.7122 0.800 0.000 0.200
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.4555 0.8510 0.000 0.800 0.200
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 2 0.4555 0.8510 0.000 0.800 0.200
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 2 0.4504 0.6325 0.196 0.804 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.4555 0.8510 0.000 0.800 0.200
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.4555 0.8510 0.000 0.800 0.200
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.0000 0.8526 0.000 0.000 1.000
#> 77744579-17ED-499B-92FD-089789C44F8A 1 0.3551 0.7977 0.868 0.000 0.132
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.4555 0.8035 0.200 0.000 0.800
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.0000 0.8526 0.000 0.000 1.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.0000 0.9184 1.000 0.000 0.000
#> 2C2589E0-2055-43AC-8001-1643839F80D4 3 0.4555 0.8035 0.200 0.000 0.800
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.0000 0.8526 0.000 0.000 1.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 1 0.0000 0.9184 1.000 0.000 0.000
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 1 0.0000 0.9184 1.000 0.000 0.000
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 3 0.5926 0.5921 0.356 0.000 0.644
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 2 0.4555 0.8510 0.000 0.800 0.200
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 1 0.0000 0.9184 1.000 0.000 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 1 0.2959 0.8441 0.900 0.100 0.000
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 1 0.4504 0.7178 0.804 0.000 0.196
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 2 0.5098 0.5376 0.000 0.752 0.248
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 3 0.6126 0.4489 0.000 0.400 0.600
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 2 0.4555 0.8510 0.000 0.800 0.200
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 1 0.0000 0.9184 1.000 0.000 0.000
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 1 0.0000 0.9184 1.000 0.000 0.000
#> A3AC663C-1578-4946-AED3-2FF9A739168E 2 0.4555 0.8510 0.000 0.800 0.200
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 3 0.6180 0.4654 0.416 0.000 0.584
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 2 0.6111 0.1668 0.000 0.604 0.396
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.3038 0.8367 0.104 0.000 0.896
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.4555 0.8035 0.200 0.000 0.800
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 2 0.0000 0.8087 0.000 1.000 0.000
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.0000 0.8526 0.000 0.000 1.000
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 1 0.0237 0.9152 0.996 0.000 0.004
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 2 0.4555 0.8510 0.000 0.800 0.200
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.4555 0.8035 0.200 0.000 0.800
#> 4ED692EB-E194-49D7-9222-6232051426E5 2 0.8482 0.6733 0.184 0.616 0.200
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 1 0.0000 0.9184 1.000 0.000 0.000
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.0000 0.8526 0.000 0.000 1.000
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 1 0.0000 0.9184 1.000 0.000 0.000
#> 64B33223-EB30-49ED-A3D8-5AC598845465 3 0.0000 0.8526 0.000 0.000 1.000
#> 21599029-B6C9-4385-B87C-FDB99F956118 3 0.0000 0.8526 0.000 0.000 1.000
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 2 0.4555 0.8510 0.000 0.800 0.200
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 3 0.0000 0.8526 0.000 0.000 1.000
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 2 0.0000 0.8087 0.000 1.000 0.000
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 2 0.0000 0.8087 0.000 1.000 0.000
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 2 0.4555 0.8510 0.000 0.800 0.200
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 1 0.0000 0.9184 1.000 0.000 0.000
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 2 0.4555 0.8510 0.000 0.800 0.200
#> 8902E88F-181A-46FE-9C80-F11C107B33E4 3 0.5728 0.5659 0.272 0.008 0.720
#> 24F2D373-AE15-47B0-8F1B-740426145C2C 1 0.0000 0.9184 1.000 0.000 0.000
#> A154A921-EB14-48DF-BF70-AE765CCE5CAB 2 0.0000 0.8087 0.000 1.000 0.000
#> D508AD79-2273-4E78-A6EE-97FBAAC7E851 1 0.0000 0.9184 1.000 0.000 0.000
#> 023D7F8E-5BD5-4AE8-8A7F-1851AA7F228A 3 0.4555 0.8035 0.200 0.000 0.800
#> 3BDE962B-6791-40BC-B3AA-C4D527FFEF22 1 0.0000 0.9184 1.000 0.000 0.000
#> 2F2D34BA-A568-470E-B0D9-5875E897FF39 3 0.0000 0.8526 0.000 0.000 1.000
#> 6DB55201-3973-4650-842E-842D5869C567 1 0.0000 0.9184 1.000 0.000 0.000
#> 258CFB91-4E4F-48F9-A483-9F6C4CFF0D3C 3 0.0000 0.8526 0.000 0.000 1.000
#> 5373681D-9C2C-46FE-AA89-05741DA4080B 1 0.0000 0.9184 1.000 0.000 0.000
#> 050B778A-9D6F-4742-B6AA-CBF8541F6203 2 0.0000 0.8087 0.000 1.000 0.000
#> 46FAC69E-DB01-452F-A3EE-D7339DD562CE 1 0.0000 0.9184 1.000 0.000 0.000
#> 2115D9F7-F4A9-4408-9AEF-BCFAF10C4867 1 0.6126 0.4356 0.600 0.400 0.000
#> DCEFC413-9710-4863-A5B1-8EFBA98CF126 1 0.0000 0.9184 1.000 0.000 0.000
#> 49CA7C56-BD81-4E36-9E50-EF36EDDD8D28 1 0.0000 0.9184 1.000 0.000 0.000
#> 9A497869-8F26-438D-85B0-C2CB39E487AE 1 0.0000 0.9184 1.000 0.000 0.000
#> D7B44985-AF29-44DF-8966-1228629EE8E2 2 0.4555 0.8510 0.000 0.800 0.200
#> 65343EA3-C1AA-4AA6-BC96-D8DE39E48000 3 0.3941 0.8217 0.156 0.000 0.844
#> 38C30CDE-2564-40A0-9594-FFA8D8330585 1 0.4555 0.7474 0.800 0.200 0.000
#> 660A826B-C49F-4D57-9778-C2FCD600FFA1 2 0.0000 0.8087 0.000 1.000 0.000
#> C5F7AAB7-8C35-4AC8-BFD2-6F3C9F3F9586 1 0.0237 0.9159 0.996 0.004 0.000
#> FE7A09A1-ACB3-4E9C-A481-060678E3FBDC 1 0.0000 0.9184 1.000 0.000 0.000
#> 9FFF1766-C9CA-4226-8790-2D1676E26A22 3 0.4555 0.8035 0.200 0.000 0.800
#> 33BFFD24-DEF0-4FDE-B20D-482BE6E8C4CD 3 0.0000 0.8526 0.000 0.000 1.000
#> 7F675A21-3434-4901-A600-9CFC13C2C7B0 1 0.0000 0.9184 1.000 0.000 0.000
#> 131A1435-2526-4B73-ABB0-320A589C54EC 1 0.4555 0.6843 0.800 0.000 0.200
#> 60373CCE-BBCD-4226-9C3E-A25A3CE37341 3 0.3116 0.8358 0.108 0.000 0.892
#> 464067A5-10EF-4610-89F2-0E45B573C686 1 0.5772 0.6684 0.756 0.024 0.220
#> 2217BE58-6746-4470-84BD-6CEF5729DFF2 3 0.0000 0.8526 0.000 0.000 1.000
#> 89961F87-A925-4C21-A539-252B18B7EEEF 1 0.4555 0.7122 0.800 0.000 0.200
#> 2227F694-4AEC-47FE-BA93-66E3F3A050DD 3 0.6079 0.5286 0.388 0.000 0.612
#> 1D7B5AE2-6EC0-463E-9F40-D3275E1F9B85 2 0.4555 0.8510 0.000 0.800 0.200
#> 59629DB1-4340-4C69-A645-74F3E68D5ECF 3 0.4555 0.8035 0.200 0.000 0.800
#> BA704541-8DEE-4BBB-A26C-F284E6D594F2 3 0.5560 0.6867 0.300 0.000 0.700
#> AD642CBE-6C2E-4DCE-A437-AAED853A397F 2 0.4555 0.8510 0.000 0.800 0.200
#> E632B73A-ABCE-49B3-AA7C-F4C667E82F68 2 0.4555 0.8510 0.000 0.800 0.200
#> 7D7169DA-6C85-478A-A5D9-3002B866F047 1 0.0000 0.9184 1.000 0.000 0.000
#> 7C6CB665-CBE3-4EFE-8D7C-07174652B98C 3 0.0000 0.8526 0.000 0.000 1.000
#> 4C2CECF0-6451-402A-A240-2575BE56B586 3 0.0000 0.8526 0.000 0.000 1.000
#> 2A68310D-68D7-4289-A853-2EED655925C3 1 0.0000 0.9184 1.000 0.000 0.000
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#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 2 0.0000 0.8087 0.000 1.000 0.000
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 1 0.0000 0.9184 1.000 0.000 0.000
#> D14A535D-5C31-4D78-8F92-3B50922211A2 3 0.0424 0.8524 0.008 0.000 0.992
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 3 0.6808 0.5237 0.084 0.184 0.732
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 1 0.0000 0.9184 1.000 0.000 0.000
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 3 0.0000 0.8526 0.000 0.000 1.000
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 3 0.4555 0.8035 0.200 0.000 0.800
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 1 0.0000 0.9184 1.000 0.000 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 3 0.0000 0.8526 0.000 0.000 1.000
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 2 0.0000 0.8087 0.000 1.000 0.000
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 1 0.0000 0.9184 1.000 0.000 0.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 1 0.4555 0.7474 0.800 0.200 0.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 1 0.0000 0.9184 1.000 0.000 0.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 1 0.0000 0.9184 1.000 0.000 0.000
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 1 0.0000 0.9184 1.000 0.000 0.000
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.4555 0.8035 0.200 0.000 0.800
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 2 0.0000 0.8087 0.000 1.000 0.000
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.9334 0.5225 0.292 0.508 0.200
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 3 0.4555 0.8035 0.200 0.000 0.800
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 1 0.6308 0.1682 0.508 0.492 0.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 1 0.0000 0.9184 1.000 0.000 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.4555 0.8510 0.000 0.800 0.200
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 1 0.4452 0.6871 0.808 0.000 0.192
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.0000 0.9184 1.000 0.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 1 0.0000 0.9184 1.000 0.000 0.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 3 0.0000 0.8526 0.000 0.000 1.000
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.0000 0.9184 1.000 0.000 0.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.4555 0.8510 0.000 0.800 0.200
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 1 0.8790 0.1855 0.540 0.328 0.132
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 1 0.0000 0.9184 1.000 0.000 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 1 0.8199 0.5952 0.640 0.200 0.160
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 1 0.0000 0.9184 1.000 0.000 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0000 0.8526 0.000 0.000 1.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.0000 0.8526 0.000 0.000 1.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.0000 0.9184 1.000 0.000 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 1 0.0000 0.9184 1.000 0.000 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 1 0.0000 0.9184 1.000 0.000 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 3 0.6126 0.5031 0.400 0.000 0.600
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0000 0.8526 0.000 0.000 1.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.6295 -0.0931 0.528 0.000 0.472
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.4555 0.8510 0.000 0.800 0.200
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 1 0.4399 0.7288 0.812 0.000 0.188
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.0000 0.9184 1.000 0.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.4555 0.8510 0.000 0.800 0.200
#> 4877594A-03A8-4407-8F21-C133460DA44D 1 0.4555 0.7474 0.800 0.200 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0000 0.9184 1.000 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.4555 0.7474 0.800 0.200 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.4555 0.8510 0.000 0.800 0.200
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 3 0.0747 0.8393 0.000 0.016 0.984
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.0000 0.9184 1.000 0.000 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.4555 0.8510 0.000 0.800 0.200
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0000 0.8526 0.000 0.000 1.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.4555 0.8035 0.200 0.000 0.800
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 0.0000 0.9184 1.000 0.000 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0424 0.8525 0.008 0.000 0.992
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.4555 0.8510 0.000 0.800 0.200
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.0000 0.8087 0.000 1.000 0.000
#> D7791F51-5151-4E21-802F-F61EE07D626F 1 0.9589 -0.1935 0.424 0.376 0.200
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 3 0.6302 -0.3021 0.000 0.480 0.520
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0000 0.8526 0.000 0.000 1.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.2711 0.8401 0.088 0.000 0.912
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.5859 0.3998 0.344 0.656 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 1 0.4555 0.7122 0.800 0.000 0.200
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.3752 0.8257 0.144 0.000 0.856
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.4452 0.7233 0.808 0.000 0.192
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.0000 0.9184 1.000 0.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.0000 0.9184 1.000 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.8526 0.000 0.000 1.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.4555 0.8510 0.000 0.800 0.200
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.4555 0.8510 0.000 0.800 0.200
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.4555 0.8035 0.200 0.000 0.800
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.4399 0.8092 0.188 0.000 0.812
#> EFA48913-D0BD-4530-A445-C327A89CE956 3 0.0000 0.8526 0.000 0.000 1.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.8526 0.000 0.000 1.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0000 0.9184 1.000 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.0000 0.9184 1.000 0.000 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 1 0.0000 0.9184 1.000 0.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.6126 0.5031 0.400 0.000 0.600
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0000 0.8526 0.000 0.000 1.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.8526 0.000 0.000 1.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 0.0000 0.9184 1.000 0.000 0.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.4555 0.8035 0.200 0.000 0.800
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.1643 0.8889 0.956 0.044 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 1 0.3375 0.8266 0.892 0.008 0.100
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0000 0.9184 1.000 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.0000 0.9184 1.000 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.0000 0.9184 1.000 0.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 1 0.5497 0.6338 0.708 0.292 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.0000 0.9184 1.000 0.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.0000 0.9184 1.000 0.000 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.0000 0.9184 1.000 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.4555 0.8510 0.000 0.800 0.200
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.4555 0.8035 0.200 0.000 0.800
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.0000 0.9184 1.000 0.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.8526 0.000 0.000 1.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.0000 0.9184 1.000 0.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0000 0.9184 1.000 0.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.4555 0.8510 0.000 0.800 0.200
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.8526 0.000 0.000 1.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.0000 0.8526 0.000 0.000 1.000
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.0000 0.9184 1.000 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0000 0.8526 0.000 0.000 1.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.4555 0.8510 0.000 0.800 0.200
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 3 0.4555 0.8035 0.200 0.000 0.800
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.4555 0.8510 0.000 0.800 0.200
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.0000 0.9184 1.000 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.4555 0.8510 0.000 0.800 0.200
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.4555 0.8035 0.200 0.000 0.800
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.4555 0.8510 0.000 0.800 0.200
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.5744 0.7692 0.128 0.800 0.072
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.5882 0.3296 0.348 0.652 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0000 0.8526 0.000 0.000 1.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.4504 0.8054 0.196 0.000 0.804
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.0000 0.9184 1.000 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.0000 0.9184 1.000 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.0000 0.8526 0.000 0.000 1.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.3116 0.8247 0.892 0.108 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.3879 0.8231 0.152 0.000 0.848
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.6126 0.4356 0.600 0.400 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.4555 0.8510 0.000 0.800 0.200
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0000 0.9184 1.000 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.8526 0.000 0.000 1.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.0000 0.9184 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 4 0.1151 0.9150 0.000 0.024 0.008 0.968
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.4855 0.3306 0.400 0.600 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0817 0.8971 0.000 0.000 0.976 0.024
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0188 0.9091 0.000 0.000 0.996 0.004
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.9624 1.000 0.000 0.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.1716 0.8718 0.000 0.064 0.936 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.3610 0.7608 0.000 0.200 0.800 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.4804 0.3535 0.616 0.384 0.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.3610 0.7368 0.200 0.000 0.800 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0188 0.9092 0.000 0.004 0.996 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.2814 0.8202 0.000 0.132 0.868 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.0000 0.9624 1.000 0.000 0.000 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 3 0.3610 0.7608 0.000 0.200 0.800 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.0000 0.9624 1.000 0.000 0.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.1792 0.8786 0.000 0.932 0.000 0.068
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#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 3 0.4925 0.3568 0.000 0.428 0.572 0.000
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 2 0.4761 0.3642 0.000 0.628 0.372 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.3610 0.7184 0.000 0.800 0.000 0.200
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.3610 0.7178 0.200 0.800 0.000 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.3610 0.7178 0.200 0.800 0.000 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 1 0.0000 0.9624 1.000 0.000 0.000 0.000
#> D7791F51-5151-4E21-802F-F61EE07D626F 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 4 0.6452 0.0597 0.068 0.464 0.000 0.468
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.4985 0.0944 0.000 0.532 0.000 0.468
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.4220 0.6411 0.000 0.748 0.004 0.248
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.3610 0.7608 0.000 0.200 0.800 0.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.4989 -0.0326 0.000 0.528 0.472 0.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.3610 0.7608 0.000 0.200 0.800 0.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.3266 0.7544 0.000 0.168 0.000 0.832
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 4 0.5693 0.0873 0.024 0.472 0.000 0.504
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.3219 0.7933 0.000 0.164 0.836 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.3219 0.7837 0.000 0.000 0.836 0.164
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 3 0.2408 0.8422 0.000 0.104 0.896 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.3610 0.7608 0.000 0.200 0.800 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.0469 0.9315 0.000 0.012 0.000 0.988
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.0000 0.9624 1.000 0.000 0.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 4 0.2530 0.8206 0.000 0.000 0.112 0.888
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.1474 0.8957 0.000 0.948 0.000 0.052
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0188 0.9092 0.000 0.004 0.996 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.0000 0.9624 1.000 0.000 0.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.0000 0.9431 0.000 0.000 0.000 1.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.0000 0.9443 0.000 1.000 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.9110 0.000 0.000 1.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.0000 0.9443 0.000 1.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.2732 0.82494 0.160 0.840 0.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.0290 0.89119 0.992 0.008 0.000 0.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.2802 0.80438 0.008 0.876 0.016 0.100 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.3534 0.63237 0.744 0.000 0.000 0.000 0.256
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.1571 0.88485 0.004 0.060 0.936 0.000 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0880 0.88936 0.000 0.000 0.968 0.032 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.4278 0.37775 0.452 0.548 0.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.0162 0.89186 0.996 0.004 0.000 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.2927 0.85660 0.068 0.060 0.872 0.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.0000 0.96601 0.000 0.000 0.000 0.000 1.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.0510 0.93153 0.000 0.016 0.000 0.984 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.2852 0.83007 0.172 0.828 0.000 0.000 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0162 0.89186 0.996 0.004 0.000 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.0162 0.89186 0.996 0.004 0.000 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.3141 0.80672 0.016 0.152 0.832 0.000 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.2561 0.76592 0.856 0.144 0.000 0.000 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.2813 0.83066 0.832 0.168 0.000 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.3336 0.77218 0.228 0.772 0.000 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 4 0.0162 0.93516 0.000 0.004 0.000 0.996 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.4497 0.72627 0.208 0.060 0.732 0.000 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0000 0.83581 0.000 1.000 0.000 0.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0162 0.90077 0.000 0.004 0.996 0.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 2 0.3242 0.79534 0.216 0.784 0.000 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.3999 0.43393 0.656 0.344 0.000 0.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.1608 0.85990 0.072 0.928 0.000 0.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.1608 0.87127 0.928 0.072 0.000 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.1341 0.90938 0.000 0.056 0.000 0.944 0.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.3395 0.71697 0.236 0.764 0.000 0.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.4192 0.31040 0.404 0.000 0.000 0.000 0.596
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.2690 0.82762 0.156 0.844 0.000 0.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.3109 0.75090 0.000 0.000 0.800 0.000 0.200
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.2989 0.85399 0.072 0.060 0.868 0.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.4777 0.63844 0.268 0.052 0.680 0.000 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.0000 0.96601 0.000 0.000 0.000 0.000 1.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.1270 0.88064 0.948 0.052 0.000 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.0794 0.87987 0.972 0.000 0.028 0.000 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.0162 0.89186 0.996 0.004 0.000 0.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.0000 0.96601 0.000 0.000 0.000 0.000 1.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.0609 0.92825 0.000 0.020 0.000 0.980 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0510 0.84108 0.016 0.984 0.000 0.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.2929 0.75864 0.820 0.180 0.000 0.000 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.4387 0.80342 0.116 0.048 0.796 0.040 0.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.1731 0.88404 0.004 0.060 0.932 0.000 0.004
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.0000 0.96601 0.000 0.000 0.000 0.000 1.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.1792 0.86004 0.084 0.916 0.000 0.000 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 3 0.3602 0.80008 0.024 0.180 0.796 0.000 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.3143 0.77469 0.204 0.000 0.796 0.000 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.0162 0.89135 0.996 0.004 0.000 0.000 0.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 5 0.0000 0.96601 0.000 0.000 0.000 0.000 1.000
#> B40B9470-990D-4443-8484-17266E829557 5 0.0000 0.96601 0.000 0.000 0.000 0.000 1.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 2 0.3391 0.81700 0.188 0.800 0.000 0.000 0.012
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 1 0.2278 0.84861 0.908 0.060 0.032 0.000 0.000
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#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 3 0.4150 0.32468 0.000 0.000 0.612 0.388 0.000
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.0162 0.89186 0.996 0.004 0.000 0.000 0.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 4 0.3550 0.71047 0.004 0.236 0.000 0.760 0.000
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 1 0.2127 0.85998 0.892 0.108 0.000 0.000 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 5 0.1704 0.90215 0.068 0.004 0.000 0.000 0.928
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.3837 0.69499 0.308 0.692 0.000 0.000 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.1502 0.88627 0.004 0.056 0.940 0.000 0.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.1270 0.88064 0.948 0.052 0.000 0.000 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 1 0.1270 0.88064 0.948 0.052 0.000 0.000 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 1 0.1270 0.88064 0.948 0.052 0.000 0.000 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 1 0.2513 0.81041 0.876 0.008 0.116 0.000 0.000
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.1331 0.87482 0.952 0.040 0.008 0.000 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.0162 0.83394 0.004 0.996 0.000 0.000 0.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.1197 0.87418 0.952 0.048 0.000 0.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 4 0.1270 0.91180 0.000 0.052 0.000 0.948 0.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.2300 0.83173 0.024 0.904 0.000 0.000 0.072
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0162 0.89186 0.996 0.004 0.000 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.2516 0.76609 0.000 0.860 0.000 0.000 0.140
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 4 0.0162 0.93427 0.000 0.000 0.004 0.996 0.000
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.0880 0.88830 0.968 0.032 0.000 0.000 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.0162 0.90066 0.004 0.000 0.996 0.000 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.1197 0.84191 0.048 0.952 0.000 0.000 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 5 0.0000 0.96601 0.000 0.000 0.000 0.000 1.000
#> D7791F51-5151-4E21-802F-F61EE07D626F 4 0.4287 0.28753 0.000 0.460 0.000 0.540 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 4 0.0609 0.92898 0.000 0.020 0.000 0.980 0.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.3868 0.80162 0.140 0.060 0.800 0.000 0.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.3493 0.81542 0.108 0.832 0.000 0.060 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.2929 0.72115 0.000 0.820 0.000 0.180 0.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.2690 0.83055 0.844 0.156 0.000 0.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.0609 0.89102 0.980 0.020 0.000 0.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 2 0.2329 0.84530 0.124 0.876 0.000 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 1 0.2648 0.76972 0.848 0.000 0.152 0.000 0.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 4 0.1549 0.90446 0.000 0.016 0.040 0.944 0.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0162 0.89186 0.996 0.004 0.000 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.1908 0.83296 0.908 0.092 0.000 0.000 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.1478 0.85965 0.064 0.936 0.000 0.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.0798 0.88664 0.976 0.016 0.008 0.000 0.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.3707 0.71931 0.284 0.716 0.000 0.000 0.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.4291 0.76480 0.092 0.136 0.772 0.000 0.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.2732 0.82468 0.160 0.840 0.000 0.000 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.3409 0.79356 0.024 0.160 0.000 0.816 0.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.3707 0.51568 0.716 0.284 0.000 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.3876 0.64293 0.316 0.684 0.000 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.0703 0.89039 0.976 0.024 0.000 0.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.2408 0.77861 0.000 0.892 0.000 0.092 0.016
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.2852 0.81564 0.172 0.828 0.000 0.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.1544 0.87923 0.932 0.068 0.000 0.000 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.1671 0.85969 0.076 0.924 0.000 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.3318 0.78345 0.192 0.008 0.800 0.000 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.1478 0.85967 0.064 0.936 0.000 0.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.1478 0.85965 0.064 0.936 0.000 0.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0162 0.89186 0.996 0.004 0.000 0.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.0162 0.93515 0.000 0.004 0.000 0.996 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.4018 0.80928 0.004 0.088 0.804 0.104 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.3003 0.80325 0.188 0.812 0.000 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.2732 0.76664 0.840 0.000 0.160 0.000 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.1851 0.85180 0.088 0.912 0.000 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.4088 0.51639 0.368 0.000 0.632 0.000 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.0000 0.93642 0.000 0.000 0.000 1.000 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.0451 0.93075 0.004 0.008 0.000 0.988 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 5 0.0000 0.96601 0.000 0.000 0.000 0.000 1.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.1965 0.86427 0.904 0.096 0.000 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.2179 0.86131 0.888 0.112 0.000 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 4 0.4840 0.70463 0.000 0.124 0.152 0.724 0.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0162 0.89186 0.996 0.004 0.000 0.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.3048 0.81843 0.004 0.176 0.820 0.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 5 0.0162 0.96244 0.000 0.004 0.000 0.000 0.996
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.1197 0.91544 0.000 0.048 0.000 0.952 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.1197 0.88259 0.952 0.048 0.000 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.90153 0.000 0.000 1.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.0404 0.88937 0.988 0.012 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
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.4327 0.5284 0.264 0.680 0.000 0.000 0.000 0.056
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.1492 0.7342 0.940 0.024 0.000 0.000 0.000 0.036
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.3315 0.5843 0.000 0.780 0.000 0.020 0.000 0.200
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.3189 0.5569 0.760 0.000 0.000 0.000 0.236 0.004
#> 82DA87CF-C067-44B3-A372-ECB056337B08 6 0.3240 0.4701 0.000 0.004 0.244 0.000 0.000 0.752
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0260 0.8164 0.000 0.000 0.992 0.008 0.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0000 0.8708 0.000 0.000 0.000 1.000 0.000 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.4453 -0.0470 0.528 0.444 0.000 0.000 0.000 0.028
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.2912 0.6515 0.784 0.000 0.000 0.000 0.000 0.216
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 6 0.3765 0.2535 0.000 0.000 0.404 0.000 0.000 0.596
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.0000 0.9400 0.000 0.000 0.000 0.000 1.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.3151 0.7244 0.000 0.000 0.000 0.748 0.000 0.252
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 6 0.5153 -0.0843 0.084 0.456 0.000 0.000 0.000 0.460
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.8201 0.000 0.000 1.000 0.000 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0865 0.7408 0.964 0.000 0.000 0.000 0.000 0.036
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.1806 0.7388 0.908 0.004 0.000 0.000 0.000 0.088
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 6 0.5787 0.3258 0.000 0.196 0.324 0.000 0.000 0.480
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 6 0.6004 0.0190 0.340 0.244 0.000 0.000 0.000 0.416
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.5343 0.3611 0.484 0.108 0.000 0.000 0.000 0.408
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.4856 0.0663 0.468 0.476 0.000 0.000 0.000 0.056
#> E8385A24-9459-4D47-9147-3A628D1A213D 4 0.2070 0.8345 0.000 0.044 0.000 0.908 0.000 0.048
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 6 0.5320 0.3464 0.116 0.000 0.352 0.000 0.000 0.532
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.2340 0.6391 0.000 0.852 0.000 0.000 0.000 0.148
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.1204 0.7949 0.000 0.000 0.944 0.000 0.000 0.056
#> 032E0758-7A5B-405B-88D3-74C527605780 2 0.4417 0.3487 0.416 0.556 0.000 0.000 0.000 0.028
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.3857 0.6658 0.768 0.152 0.000 0.000 0.000 0.080
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.2510 0.6848 0.100 0.872 0.000 0.000 0.000 0.028
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.0000 0.8708 0.000 0.000 0.000 1.000 0.000 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.3175 0.7109 0.832 0.080 0.000 0.000 0.000 0.088
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.5373 0.5747 0.000 0.196 0.000 0.588 0.000 0.216
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.0405 0.8681 0.000 0.000 0.008 0.988 0.000 0.004
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.8201 0.000 0.000 1.000 0.000 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0000 0.8201 0.000 0.000 1.000 0.000 0.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.4499 0.4168 0.288 0.652 0.000 0.000 0.000 0.060
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.3881 0.3558 0.396 0.000 0.000 0.000 0.600 0.004
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.4368 0.5185 0.272 0.672 0.000 0.000 0.000 0.056
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.2793 0.6288 0.000 0.000 0.800 0.000 0.200 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.0000 0.8708 0.000 0.000 0.000 1.000 0.000 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0000 0.8201 0.000 0.000 1.000 0.000 0.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.4032 0.2196 0.008 0.000 0.572 0.000 0.000 0.420
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.6286 -0.1659 0.216 0.000 0.432 0.016 0.000 0.336
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.0000 0.9400 0.000 0.000 0.000 0.000 1.000 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.2912 0.7280 0.844 0.040 0.000 0.000 0.000 0.116
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.3998 0.0196 0.504 0.000 0.004 0.000 0.000 0.492
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.0520 0.7410 0.984 0.008 0.000 0.000 0.000 0.008
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.0000 0.9400 0.000 0.000 0.000 0.000 1.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.3835 0.6754 0.000 0.016 0.000 0.684 0.000 0.300
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.5252 0.5410 0.144 0.592 0.000 0.000 0.000 0.264
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.0000 0.8708 0.000 0.000 0.000 1.000 0.000 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.4687 0.6496 0.684 0.136 0.000 0.000 0.000 0.180
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.0260 0.8706 0.000 0.000 0.000 0.992 0.000 0.008
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#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.4808 0.1825 0.536 0.408 0.000 0.000 0.000 0.056
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.3032 0.7227 0.840 0.104 0.000 0.000 0.000 0.056
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.3706 0.4262 0.000 0.620 0.000 0.000 0.000 0.380
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.4463 0.4912 0.292 0.652 0.000 0.000 0.000 0.056
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.4315 0.5060 0.636 0.036 0.000 0.000 0.000 0.328
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.3530 0.6464 0.152 0.792 0.000 0.000 0.000 0.056
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.0146 0.8708 0.000 0.000 0.000 0.996 0.000 0.004
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.6103 -0.0930 0.188 0.012 0.452 0.000 0.000 0.348
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0725 0.6804 0.012 0.976 0.000 0.000 0.000 0.012
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.8201 0.000 0.000 1.000 0.000 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.1152 0.6712 0.004 0.952 0.000 0.000 0.000 0.044
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#> CA502AEA-B561-4ED8-B152-5F477B110EC5 6 0.3149 0.4828 0.000 0.044 0.132 0.000 0.000 0.824
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#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.1007 0.7998 0.000 0.000 0.956 0.000 0.000 0.044
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.0146 0.8708 0.000 0.000 0.000 0.996 0.000 0.004
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 6 0.4574 0.1408 0.440 0.000 0.036 0.000 0.000 0.524
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0146 0.8709 0.000 0.000 0.000 0.996 0.000 0.004
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.4176 0.5938 0.212 0.720 0.000 0.000 0.000 0.068
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.0547 0.8670 0.000 0.000 0.000 0.980 0.000 0.020
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 6 0.6080 0.3815 0.316 0.000 0.288 0.000 0.000 0.396
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.0363 0.8697 0.000 0.000 0.000 0.988 0.000 0.012
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.0291 0.8674 0.004 0.004 0.000 0.992 0.000 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 5 0.0000 0.9400 0.000 0.000 0.000 0.000 1.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0146 0.8180 0.000 0.000 0.996 0.004 0.000 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.0000 0.8201 0.000 0.000 1.000 0.000 0.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.4603 0.4060 0.544 0.040 0.000 0.000 0.000 0.416
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.4038 0.6717 0.728 0.056 0.000 0.000 0.000 0.216
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 6 0.3893 0.4136 0.000 0.124 0.044 0.036 0.000 0.796
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0777 0.7329 0.972 0.000 0.000 0.004 0.000 0.024
#> 13138496-2362-49FA-9CBF-35EBB0843924 6 0.3868 -0.0102 0.000 0.000 0.496 0.000 0.000 0.504
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 5 0.1141 0.8920 0.000 0.052 0.000 0.000 0.948 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.5492 0.5519 0.000 0.192 0.000 0.564 0.000 0.244
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.2201 0.7448 0.900 0.048 0.000 0.000 0.000 0.052
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.8201 0.000 0.000 1.000 0.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.3023 0.6029 0.768 0.000 0.000 0.000 0.000 0.232
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 17395 rows and 473 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 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 0.288 0.695 0.818 0.2694 0.863 0.863
#> 3 3 0.337 0.622 0.780 0.9267 0.645 0.590
#> 4 4 0.435 0.576 0.798 0.2983 0.682 0.449
#> 5 5 0.510 0.646 0.787 0.1022 0.893 0.689
#> 6 6 0.597 0.655 0.782 0.0697 0.881 0.579
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 5
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
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.7602 0.669 0.220 0.780
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.6973 0.688 0.188 0.812
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0000 0.778 0.000 1.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.6973 0.688 0.188 0.812
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0672 0.777 0.008 0.992
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.8327 0.579 0.264 0.736
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.7056 0.662 0.192 0.808
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.7602 0.669 0.220 0.780
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.0376 0.777 0.004 0.996
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.8267 0.584 0.260 0.740
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.9248 0.773 0.660 0.340
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.4562 0.731 0.096 0.904
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.0376 0.778 0.004 0.996
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.8443 0.579 0.272 0.728
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.6801 0.691 0.180 0.820
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.6801 0.691 0.180 0.820
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.0938 0.776 0.012 0.988
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.6973 0.688 0.188 0.812
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0000 0.778 0.000 1.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.7602 0.669 0.220 0.780
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.2043 0.774 0.032 0.968
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.7815 0.615 0.232 0.768
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.4690 0.750 0.100 0.900
#> 7194CC84-3897-4418-9695-66CC12CFE900 2 0.8327 0.579 0.264 0.736
#> 032E0758-7A5B-405B-88D3-74C527605780 2 0.7602 0.669 0.220 0.780
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.4690 0.750 0.100 0.900
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.6343 0.717 0.160 0.840
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.7745 0.619 0.228 0.772
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0000 0.778 0.000 1.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.2043 0.774 0.032 0.968
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.1184 0.777 0.016 0.984
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.8443 0.579 0.272 0.728
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.8327 0.579 0.264 0.736
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.2043 0.774 0.032 0.968
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 2 0.8267 0.608 0.260 0.740
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.7602 0.669 0.220 0.780
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.8443 0.579 0.272 0.728
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.0376 0.777 0.004 0.996
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.8443 0.579 0.272 0.728
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.8327 0.579 0.264 0.736
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.0376 0.777 0.004 0.996
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.7528 0.604 0.784 0.216
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.7453 0.675 0.212 0.788
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.2043 0.770 0.032 0.968
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.7453 0.672 0.212 0.788
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.8763 0.759 0.704 0.296
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.0000 0.778 0.000 1.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.7453 0.672 0.212 0.788
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.0376 0.777 0.004 0.996
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.0000 0.778 0.000 1.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.2236 0.773 0.036 0.964
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.4939 0.723 0.108 0.892
#> FE2C169A-E41F-45EB-B61E-776493069D78 2 0.6623 0.680 0.172 0.828
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.7815 0.615 0.232 0.768
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.8327 0.579 0.264 0.736
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.5629 0.713 0.868 0.132
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.7602 0.669 0.220 0.780
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.0376 0.777 0.004 0.996
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.2948 0.767 0.052 0.948
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 2 0.8327 0.579 0.264 0.736
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 2 0.5059 0.729 0.112 0.888
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.0000 0.778 0.000 1.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.8763 0.759 0.704 0.296
#> B40B9470-990D-4443-8484-17266E829557 1 0.8386 0.741 0.732 0.268
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 2 0.7602 0.669 0.220 0.780
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 2 0.1184 0.775 0.016 0.984
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.4022 0.765 0.080 0.920
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.5842 0.730 0.140 0.860
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.0000 0.778 0.000 1.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 2 0.7602 0.669 0.220 0.780
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 2 0.0000 0.778 0.000 1.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.7528 0.673 0.216 0.784
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 1 0.9933 0.743 0.548 0.452
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.3584 0.765 0.068 0.932
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 2 0.8327 0.579 0.264 0.736
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.8555 0.735 0.720 0.280
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.7602 0.557 0.220 0.780
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 2 0.8327 0.579 0.264 0.736
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 2 0.7602 0.669 0.220 0.780
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.7602 0.669 0.220 0.780
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.6048 0.725 0.148 0.852
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 1 0.9732 0.751 0.596 0.404
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 2 0.8443 0.579 0.272 0.728
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 2 0.1633 0.776 0.024 0.976
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 2 0.7602 0.669 0.220 0.780
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.0000 0.778 0.000 1.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 2 0.0938 0.778 0.012 0.988
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.8327 0.742 0.736 0.264
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.4562 0.731 0.096 0.904
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.4562 0.731 0.096 0.904
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.5059 0.720 0.112 0.888
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.0000 0.778 0.000 1.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 2 0.8327 0.579 0.264 0.736
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 2 0.8327 0.579 0.264 0.736
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 2 0.7453 0.672 0.212 0.788
#> 2C2589E0-2055-43AC-8001-1643839F80D4 2 0.7883 0.611 0.236 0.764
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 2 0.8327 0.579 0.264 0.736
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 2 0.0000 0.778 0.000 1.000
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 2 0.0000 0.778 0.000 1.000
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.2603 0.774 0.044 0.956
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 2 0.4562 0.731 0.096 0.904
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.2043 0.774 0.032 0.968
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 2 0.7602 0.669 0.220 0.780
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.5737 0.732 0.136 0.864
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 2 0.7674 0.624 0.224 0.776
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 2 0.1184 0.777 0.016 0.984
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 2 0.0000 0.778 0.000 1.000
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 2 0.7602 0.669 0.220 0.780
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 2 0.7453 0.672 0.212 0.788
#> A3AC663C-1578-4946-AED3-2FF9A739168E 2 0.0000 0.778 0.000 1.000
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.0000 0.778 0.000 1.000
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 1 0.8555 0.570 0.720 0.280
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 2 0.8386 0.584 0.268 0.732
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 2 0.8713 0.578 0.292 0.708
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 1 0.9933 0.742 0.548 0.452
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 2 0.8443 0.579 0.272 0.728
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 2 0.0672 0.776 0.008 0.992
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 2 0.0000 0.778 0.000 1.000
#> 5813BD59-3E38-4630-8735-F9F743F28160 2 0.8327 0.579 0.264 0.736
#> 4ED692EB-E194-49D7-9222-6232051426E5 2 0.2236 0.773 0.036 0.964
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 2 0.7453 0.672 0.212 0.788
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 2 0.8443 0.579 0.272 0.728
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 2 0.7602 0.669 0.220 0.780
#> 64B33223-EB30-49ED-A3D8-5AC598845465 2 0.3733 0.747 0.072 0.928
#> 21599029-B6C9-4385-B87C-FDB99F956118 2 0.8327 0.579 0.264 0.736
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 2 0.2423 0.773 0.040 0.960
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 2 0.7815 0.615 0.232 0.768
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 2 0.2423 0.773 0.040 0.960
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 1 0.9944 0.742 0.544 0.456
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 2 0.0376 0.778 0.004 0.996
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 2 0.7453 0.672 0.212 0.788
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 2 0.0672 0.776 0.008 0.992
#> 8902E88F-181A-46FE-9C80-F11C107B33E4 2 0.0000 0.778 0.000 1.000
#> 24F2D373-AE15-47B0-8F1B-740426145C2C 2 0.6973 0.688 0.188 0.812
#> A154A921-EB14-48DF-BF70-AE765CCE5CAB 1 0.8327 0.742 0.736 0.264
#> D508AD79-2273-4E78-A6EE-97FBAAC7E851 2 0.7602 0.669 0.220 0.780
#> 023D7F8E-5BD5-4AE8-8A7F-1851AA7F228A 2 0.7376 0.639 0.208 0.792
#> 3BDE962B-6791-40BC-B3AA-C4D527FFEF22 2 0.7602 0.669 0.220 0.780
#> 2F2D34BA-A568-470E-B0D9-5875E897FF39 2 0.8443 0.579 0.272 0.728
#> 6DB55201-3973-4650-842E-842D5869C567 2 0.7602 0.669 0.220 0.780
#> 258CFB91-4E4F-48F9-A483-9F6C4CFF0D3C 2 0.8386 0.584 0.268 0.732
#> 5373681D-9C2C-46FE-AA89-05741DA4080B 2 0.7602 0.669 0.220 0.780
#> 050B778A-9D6F-4742-B6AA-CBF8541F6203 1 0.9896 0.756 0.560 0.440
#> 46FAC69E-DB01-452F-A3EE-D7339DD562CE 2 0.7299 0.684 0.204 0.796
#> 2115D9F7-F4A9-4408-9AEF-BCFAF10C4867 2 0.7602 0.669 0.220 0.780
#> DCEFC413-9710-4863-A5B1-8EFBA98CF126 2 0.7602 0.669 0.220 0.780
#> 49CA7C56-BD81-4E36-9E50-EF36EDDD8D28 2 0.7674 0.669 0.224 0.776
#> 9A497869-8F26-438D-85B0-C2CB39E487AE 2 0.0000 0.778 0.000 1.000
#> D7B44985-AF29-44DF-8966-1228629EE8E2 2 0.3274 0.754 0.060 0.940
#> 65343EA3-C1AA-4AA6-BC96-D8DE39E48000 2 0.7602 0.628 0.220 0.780
#> 38C30CDE-2564-40A0-9594-FFA8D8330585 2 0.7602 0.669 0.220 0.780
#> 660A826B-C49F-4D57-9778-C2FCD600FFA1 2 0.9393 -0.239 0.356 0.644
#> C5F7AAB7-8C35-4AC8-BFD2-6F3C9F3F9586 2 0.7602 0.669 0.220 0.780
#> FE7A09A1-ACB3-4E9C-A481-060678E3FBDC 2 0.7602 0.669 0.220 0.780
#> 9FFF1766-C9CA-4226-8790-2D1676E26A22 2 0.7883 0.611 0.236 0.764
#> 33BFFD24-DEF0-4FDE-B20D-482BE6E8C4CD 2 0.7745 0.619 0.228 0.772
#> 7F675A21-3434-4901-A600-9CFC13C2C7B0 2 0.0000 0.778 0.000 1.000
#> 131A1435-2526-4B73-ABB0-320A589C54EC 2 0.0000 0.778 0.000 1.000
#> 60373CCE-BBCD-4226-9C3E-A25A3CE37341 2 0.8207 0.588 0.256 0.744
#> 464067A5-10EF-4610-89F2-0E45B573C686 2 0.0000 0.778 0.000 1.000
#> 2217BE58-6746-4470-84BD-6CEF5729DFF2 2 0.0672 0.777 0.008 0.992
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#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 2 0.6973 0.688 0.188 0.812
#> D14A535D-5C31-4D78-8F92-3B50922211A2 2 0.8267 0.584 0.260 0.740
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.2043 0.774 0.032 0.968
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.0000 0.778 0.000 1.000
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 2 0.4562 0.731 0.096 0.904
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 2 0.7883 0.611 0.236 0.764
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.7602 0.669 0.220 0.780
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 2 0.8327 0.579 0.264 0.736
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 1 0.9970 0.733 0.532 0.468
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.7602 0.669 0.220 0.780
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.0000 0.778 0.000 1.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.4431 0.755 0.092 0.908
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 2 0.0376 0.777 0.004 0.996
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.0376 0.778 0.004 0.996
#> 212CB113-E765-4146-AC8A-B34044E2A849 2 0.7056 0.653 0.192 0.808
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.8327 0.742 0.736 0.264
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.0000 0.778 0.000 1.000
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.5842 0.718 0.140 0.860
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.2423 0.773 0.040 0.960
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.0376 0.778 0.004 0.996
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.5178 0.718 0.116 0.884
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.1184 0.777 0.016 0.984
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 2 0.7602 0.669 0.220 0.780
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.7602 0.669 0.220 0.780
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 2 0.2778 0.775 0.048 0.952
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.0938 0.779 0.012 0.988
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.0672 0.777 0.008 0.992
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.0000 0.778 0.000 1.000
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.0000 0.778 0.000 1.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.0672 0.777 0.008 0.992
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.6887 0.691 0.184 0.816
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 2 0.8327 0.579 0.264 0.736
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 2 0.8267 0.583 0.260 0.740
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.2948 0.770 0.052 0.948
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.0000 0.778 0.000 1.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.6623 0.702 0.172 0.828
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.0376 0.777 0.004 0.996
#> 560C9030-5EF4-466E-9149-BFB8215A512A 2 0.8443 0.579 0.272 0.728
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 2 0.6973 0.692 0.188 0.812
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.2423 0.773 0.040 0.960
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.2043 0.774 0.032 0.968
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 2 0.5059 0.738 0.112 0.888
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.0672 0.777 0.008 0.992
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.7602 0.669 0.220 0.780
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 2 0.7602 0.669 0.220 0.780
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.7602 0.669 0.220 0.780
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.0376 0.778 0.004 0.996
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.0376 0.777 0.004 0.996
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.6801 0.691 0.180 0.820
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.4690 0.732 0.100 0.900
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 2 0.8327 0.579 0.264 0.736
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.7883 0.611 0.236 0.764
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.7602 0.669 0.220 0.780
#> 62315297-B01F-4A7F-9C15-5B602099257F 2 0.8327 0.579 0.264 0.736
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.0376 0.778 0.004 0.996
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.7602 0.669 0.220 0.780
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.2043 0.774 0.032 0.968
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.1633 0.773 0.024 0.976
#> 1707CA8B-228E-49F9-B78A-A0171E853376 2 0.8443 0.579 0.272 0.728
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 2 0.8267 0.584 0.260 0.740
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.7219 0.687 0.200 0.800
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.3114 0.769 0.056 0.944
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 2 0.8327 0.579 0.264 0.736
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.0000 0.778 0.000 1.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.3879 0.761 0.076 0.924
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 2 0.7602 0.669 0.220 0.780
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 2 0.8327 0.579 0.264 0.736
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.0376 0.778 0.004 0.996
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.0672 0.776 0.008 0.992
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.0938 0.778 0.012 0.988
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.8327 0.579 0.264 0.736
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.0000 0.778 0.000 1.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 2 0.8327 0.579 0.264 0.736
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 2 0.7602 0.669 0.220 0.780
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.0000 0.778 0.000 1.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.7602 0.669 0.220 0.780
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.6247 0.714 0.156 0.844
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 2 0.8327 0.579 0.264 0.736
#> E5D94733-7D43-4021-8F57-4426EF183682 2 0.8327 0.579 0.264 0.736
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.7602 0.669 0.220 0.780
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.4298 0.761 0.088 0.912
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.7602 0.669 0.220 0.780
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.7219 0.682 0.200 0.800
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 2 0.7602 0.669 0.220 0.780
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.7602 0.669 0.220 0.780
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.7602 0.669 0.220 0.780
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.2423 0.773 0.040 0.960
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.7602 0.669 0.220 0.780
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.0000 0.778 0.000 1.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.7602 0.669 0.220 0.780
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.0000 0.778 0.000 1.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.2778 0.775 0.048 0.952
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.7602 0.669 0.220 0.780
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.8443 0.579 0.272 0.728
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.7602 0.669 0.220 0.780
#> F4142833-0749-44A4-B769-66262AA4A484 2 0.7602 0.669 0.220 0.780
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.0376 0.777 0.004 0.996
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.8327 0.579 0.264 0.736
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.4815 0.728 0.104 0.896
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.7602 0.669 0.220 0.780
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.8327 0.579 0.264 0.736
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.0000 0.778 0.000 1.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.2603 0.765 0.044 0.956
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.4298 0.737 0.088 0.912
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.7602 0.669 0.220 0.780
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.0000 0.778 0.000 1.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.7883 0.611 0.236 0.764
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.2043 0.774 0.032 0.968
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.1414 0.778 0.020 0.980
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.8763 0.759 0.704 0.296
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.7453 0.635 0.212 0.788
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 2 0.8443 0.579 0.272 0.728
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.5059 0.743 0.112 0.888
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.3274 0.766 0.060 0.940
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.0376 0.778 0.004 0.996
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.0672 0.776 0.008 0.992
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.8267 0.584 0.260 0.740
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.7602 0.669 0.220 0.780
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.0000 0.778 0.000 1.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.7602 0.669 0.220 0.780
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.8327 0.579 0.264 0.736
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.0000 0.778 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0592 0.7388 0.000 0.988 0.012
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.2860 0.7496 0.004 0.912 0.084
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.6095 0.7288 0.000 0.608 0.392
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.2165 0.7492 0.000 0.936 0.064
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.6308 -0.6037 0.000 0.492 0.508
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.5884 0.5538 0.272 0.012 0.716
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.4139 0.3879 0.016 0.124 0.860
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.0475 0.7362 0.004 0.992 0.004
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.5650 0.7537 0.000 0.688 0.312
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.8076 0.6023 0.252 0.116 0.632
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.7039 0.7585 0.728 0.128 0.144
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 3 0.6513 -0.5383 0.004 0.476 0.520
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.5656 0.7585 0.004 0.712 0.284
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.7911 0.6036 0.272 0.096 0.632
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.2625 0.7499 0.000 0.916 0.084
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.2796 0.7493 0.000 0.908 0.092
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.6081 0.7426 0.004 0.652 0.344
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.2945 0.7481 0.004 0.908 0.088
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.5465 0.7546 0.000 0.712 0.288
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0475 0.7362 0.004 0.992 0.004
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.5882 0.7306 0.000 0.652 0.348
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.5254 0.3837 0.000 0.264 0.736
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.3879 0.7767 0.000 0.848 0.152
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.7841 0.6038 0.272 0.092 0.636
#> 032E0758-7A5B-405B-88D3-74C527605780 2 0.0475 0.7381 0.004 0.992 0.004
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.4002 0.7775 0.000 0.840 0.160
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.2772 0.7665 0.004 0.916 0.080
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 3 0.4002 0.3364 0.000 0.160 0.840
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.5905 0.7477 0.000 0.648 0.352
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.5560 0.7608 0.000 0.700 0.300
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.6330 0.7288 0.004 0.600 0.396
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.8045 0.6027 0.272 0.104 0.624
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.8109 0.6025 0.272 0.108 0.620
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.4931 0.7730 0.000 0.768 0.232
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 2 0.1129 0.7281 0.020 0.976 0.004
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0892 0.7417 0.000 0.980 0.020
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.9150 0.5640 0.272 0.192 0.536
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.6225 0.7005 0.000 0.568 0.432
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.8045 0.6027 0.272 0.104 0.624
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.8293 0.5994 0.272 0.120 0.608
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.5754 0.7488 0.004 0.700 0.296
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.1031 0.5948 0.976 0.000 0.024
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.1267 0.7439 0.004 0.972 0.024
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.6244 0.5506 0.000 0.560 0.440
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.1643 0.7423 0.000 0.956 0.044
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.6841 0.7440 0.724 0.200 0.076
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.6274 0.6613 0.000 0.544 0.456
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.2796 0.7348 0.000 0.908 0.092
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.5905 0.7414 0.000 0.648 0.352
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.5560 0.7520 0.000 0.700 0.300
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.6209 0.7151 0.004 0.628 0.368
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.6783 0.5946 0.016 0.588 0.396
#> FE2C169A-E41F-45EB-B61E-776493069D78 3 0.4068 0.3710 0.016 0.120 0.864
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.3551 0.4695 0.000 0.132 0.868
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.7124 0.5866 0.272 0.056 0.672
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.1289 0.6077 0.968 0.032 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.1860 0.7424 0.000 0.948 0.052
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.6509 0.6626 0.004 0.524 0.472
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.6518 0.5427 0.004 0.512 0.484
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#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.5650 0.7498 0.000 0.688 0.312
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 3 0.6260 -0.5247 0.000 0.448 0.552
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.7979 0.6033 0.272 0.100 0.628
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.8255 0.6035 0.252 0.128 0.620
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.3644 0.7455 0.004 0.872 0.124
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.5431 0.7571 0.000 0.716 0.284
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.7841 0.6038 0.272 0.092 0.636
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.5905 0.7299 0.000 0.648 0.352
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.4784 0.7707 0.004 0.796 0.200
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 2 0.1267 0.7412 0.004 0.972 0.024
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.6937 0.5816 0.272 0.048 0.680
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.6111 0.7206 0.000 0.604 0.396
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.6442 0.6999 0.004 0.564 0.432
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.5948 0.7055 0.000 0.640 0.360
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.8109 0.6031 0.272 0.108 0.620
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.6225 0.6970 0.000 0.568 0.432
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.7911 0.6043 0.272 0.096 0.632
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 2 0.0237 0.7365 0.000 0.996 0.004
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.5588 0.7568 0.004 0.720 0.276
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.3030 0.7297 0.004 0.904 0.092
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.3784 0.7628 0.004 0.864 0.132
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.5327 0.5509 0.272 0.000 0.728
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.7770 0.6048 0.272 0.088 0.640
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.0661 0.7402 0.004 0.988 0.008
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.4682 0.7626 0.004 0.804 0.192
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.0475 0.7362 0.004 0.992 0.004
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.3349 0.7557 0.004 0.888 0.108
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 2 0.0475 0.7362 0.004 0.992 0.004
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0661 0.7379 0.004 0.988 0.008
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0475 0.7362 0.004 0.992 0.004
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.5158 0.7703 0.004 0.764 0.232
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0475 0.7362 0.004 0.992 0.004
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.5497 0.7539 0.000 0.708 0.292
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.1529 0.7415 0.000 0.960 0.040
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.6286 0.6585 0.000 0.536 0.464
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.6148 0.7011 0.004 0.640 0.356
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.2356 0.7389 0.000 0.928 0.072
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.7124 0.5862 0.272 0.056 0.672
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0661 0.7377 0.004 0.988 0.008
#> F4142833-0749-44A4-B769-66262AA4A484 2 0.0661 0.7381 0.004 0.988 0.008
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.6410 0.7100 0.004 0.576 0.420
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.7032 0.5939 0.272 0.052 0.676
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.6045 -0.2760 0.000 0.380 0.620
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0661 0.7377 0.004 0.988 0.008
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.6407 0.5620 0.272 0.028 0.700
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.6286 0.6664 0.000 0.536 0.464
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 3 0.6373 -0.1757 0.004 0.408 0.588
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.5845 -0.1396 0.004 0.308 0.688
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.1031 0.7423 0.000 0.976 0.024
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.6280 0.6632 0.000 0.540 0.460
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.5178 0.3922 0.000 0.256 0.744
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.6104 0.7279 0.004 0.648 0.348
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.5480 0.7609 0.004 0.732 0.264
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.6827 0.7453 0.728 0.192 0.080
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.4784 0.4306 0.004 0.200 0.796
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.8408 0.5977 0.272 0.128 0.600
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.4291 0.7757 0.000 0.820 0.180
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.4796 0.7709 0.000 0.780 0.220
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.6274 0.6642 0.000 0.544 0.456
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.5690 0.7514 0.004 0.708 0.288
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.8013 0.6010 0.252 0.112 0.636
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.1878 0.7404 0.004 0.952 0.044
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.6244 0.6815 0.000 0.560 0.440
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.1753 0.7409 0.000 0.952 0.048
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.5728 0.5531 0.272 0.008 0.720
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.5621 0.7530 0.000 0.692 0.308
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.4872 0.4356 0.000 0.640 0.004 0.356
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.3764 0.5268 0.000 0.784 0.000 0.216
#> 3BBC7540-136B-47C8-9C09-CD423685B742 4 0.2589 0.6609 0.000 0.116 0.000 0.884
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.3498 0.6306 0.000 0.832 0.008 0.160
#> 82DA87CF-C067-44B3-A372-ECB056337B08 4 0.6054 0.3323 0.000 0.352 0.056 0.592
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.1824 0.8571 0.000 0.004 0.936 0.060
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.5698 0.3862 0.000 0.036 0.356 0.608
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.1890 0.7032 0.000 0.936 0.008 0.056
#> C7A75027-D49D-4D60-93A8-588487B5D690 4 0.4977 0.1873 0.000 0.460 0.000 0.540
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.3439 0.8326 0.000 0.048 0.868 0.084
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.9337 1.000 0.000 0.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.1489 0.6642 0.000 0.044 0.004 0.952
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 4 0.4483 0.5545 0.000 0.284 0.004 0.712
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.8732 0.000 0.000 1.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.4313 0.4908 0.000 0.736 0.004 0.260
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.4511 0.4869 0.000 0.724 0.008 0.268
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 4 0.3545 0.6297 0.000 0.164 0.008 0.828
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.4295 0.4996 0.000 0.752 0.008 0.240
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 4 0.3448 0.6166 0.000 0.168 0.004 0.828
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.1209 0.7059 0.000 0.964 0.004 0.032
#> E8385A24-9459-4D47-9147-3A628D1A213D 4 0.4194 0.4924 0.000 0.228 0.008 0.764
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 4 0.6796 0.4829 0.000 0.152 0.252 0.596
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.4955 0.2015 0.000 0.556 0.000 0.444
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.1677 0.8750 0.000 0.040 0.948 0.012
#> 032E0758-7A5B-405B-88D3-74C527605780 2 0.1398 0.7061 0.000 0.956 0.004 0.040
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.3688 0.5888 0.000 0.792 0.000 0.208
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.5028 0.3020 0.000 0.596 0.004 0.400
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.4560 0.5033 0.000 0.004 0.296 0.700
#> E4E13C28-C852-4783-87C8-A77C0436354E 4 0.4543 0.4071 0.000 0.324 0.000 0.676
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.4262 0.5246 0.000 0.236 0.008 0.756
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.4295 0.5604 0.000 0.240 0.008 0.752
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0188 0.8734 0.000 0.000 0.996 0.004
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0657 0.8760 0.000 0.012 0.984 0.004
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 4 0.5165 0.1673 0.000 0.484 0.004 0.512
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 2 0.1543 0.7008 0.008 0.956 0.004 0.032
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.2216 0.6941 0.000 0.908 0.000 0.092
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.3539 0.7499 0.000 0.176 0.820 0.004
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.0927 0.6633 0.000 0.008 0.016 0.976
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0336 0.8754 0.000 0.008 0.992 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.2949 0.8434 0.000 0.088 0.888 0.024
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 4 0.4323 0.6209 0.000 0.184 0.028 0.788
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.0000 0.9337 1.000 0.000 0.000 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.0921 0.6999 0.000 0.972 0.000 0.028
#> 040D3276-2E61-426E-B182-AEE6C9778488 4 0.6203 0.3801 0.000 0.340 0.068 0.592
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.0817 0.7036 0.000 0.976 0.000 0.024
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.4944 0.7280 0.768 0.160 0.000 0.072
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.4415 0.6180 0.000 0.140 0.056 0.804
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.2408 0.6877 0.000 0.896 0.000 0.104
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.3428 0.6438 0.000 0.144 0.012 0.844
#> 9723BC03-C568-4F06-8912-484010C196D0 4 0.5151 0.2107 0.000 0.464 0.004 0.532
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.4964 0.4893 0.000 0.256 0.028 0.716
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 4 0.4054 0.6176 0.000 0.188 0.016 0.796
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.5614 0.3902 0.000 0.036 0.336 0.628
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 4 0.6130 0.1564 0.000 0.048 0.440 0.512
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.3143 0.8369 0.000 0.024 0.876 0.100
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0000 0.9337 1.000 0.000 0.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.4072 0.5818 0.000 0.748 0.000 0.252
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.2500 0.6657 0.000 0.040 0.044 0.916
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.6557 -0.2067 0.000 0.476 0.076 0.448
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.3863 0.7800 0.000 0.144 0.828 0.028
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 2 0.5388 -0.0701 0.000 0.532 0.012 0.456
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.3501 0.6191 0.000 0.132 0.020 0.848
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.4758 0.7411 0.780 0.156 0.000 0.064
#> B40B9470-990D-4443-8484-17266E829557 1 0.4713 0.4502 0.640 0.360 0.000 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 2 0.4655 0.4526 0.000 0.684 0.004 0.312
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 4 0.4535 0.5742 0.000 0.240 0.016 0.744
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.5090 0.3572 0.000 0.660 0.016 0.324
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.5039 0.2671 0.000 0.592 0.004 0.404
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 4 0.2011 0.6624 0.000 0.080 0.000 0.920
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 2 0.2714 0.6877 0.000 0.884 0.004 0.112
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 4 0.5678 0.2016 0.000 0.452 0.024 0.524
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.4608 0.4880 0.000 0.692 0.004 0.304
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 1 0.0000 0.9337 1.000 0.000 0.000 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.4920 0.2937 0.000 0.628 0.004 0.368
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.3182 0.8440 0.000 0.028 0.876 0.096
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 2 0.5602 0.1278 0.408 0.568 0.000 0.024
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.7196 0.0827 0.120 0.468 0.004 0.408
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.1398 0.8742 0.000 0.040 0.956 0.004
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 2 0.0592 0.7042 0.000 0.984 0.000 0.016
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.4948 0.3020 0.000 0.560 0.000 0.440
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.5000 0.0705 0.000 0.504 0.000 0.496
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 1 0.7369 0.2539 0.524 0.228 0.000 0.248
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0000 0.8732 0.000 0.000 1.000 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.2089 0.6646 0.000 0.048 0.020 0.932
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 2 0.3495 0.6556 0.000 0.844 0.016 0.140
#> EB5CF362-6974-4137-AC92-2051B1594E13 4 0.3402 0.6334 0.000 0.164 0.004 0.832
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.4057 0.6506 0.000 0.160 0.028 0.812
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0000 0.9337 1.000 0.000 0.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 4 0.1677 0.6636 0.000 0.040 0.012 0.948
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 4 0.1820 0.6641 0.000 0.036 0.020 0.944
#> CC8A362A-10CE-4051-97E9-193F0D42A342 4 0.3862 0.6417 0.000 0.152 0.024 0.824
#> 77744579-17ED-499B-92FD-089789C44F8A 4 0.0707 0.6629 0.000 0.020 0.000 0.980
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.2542 0.8489 0.000 0.084 0.904 0.012
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.1677 0.8758 0.000 0.040 0.948 0.012
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 2 0.1302 0.6974 0.000 0.956 0.000 0.044
#> 2C2589E0-2055-43AC-8001-1643839F80D4 4 0.7191 0.3490 0.000 0.156 0.328 0.516
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.1929 0.8751 0.000 0.036 0.940 0.024
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 4 0.5250 0.2466 0.000 0.440 0.008 0.552
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#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.4697 0.4045 0.000 0.644 0.000 0.356
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.4250 0.4599 0.000 0.724 0.000 0.276
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0336 0.8697 0.000 0.000 0.992 0.008
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.1489 0.8744 0.000 0.044 0.952 0.004
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.0707 0.7055 0.000 0.980 0.000 0.020
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.6197 0.0931 0.000 0.544 0.056 0.400
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.1109 0.7059 0.000 0.968 0.004 0.028
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.4991 0.3723 0.000 0.608 0.004 0.388
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 2 0.0707 0.7044 0.000 0.980 0.000 0.020
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0592 0.7062 0.000 0.984 0.000 0.016
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0657 0.7042 0.000 0.984 0.004 0.012
#> 85C38170-F2A0-4491-BFDB-38489204C015 4 0.4655 0.4596 0.000 0.312 0.004 0.684
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0895 0.7048 0.000 0.976 0.004 0.020
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 4 0.5155 0.1762 0.000 0.468 0.004 0.528
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.1389 0.7011 0.000 0.952 0.000 0.048
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.1888 0.6631 0.000 0.016 0.044 0.940
#> 0B400F91-2355-43AB-AA86-725C21352AB7 4 0.5085 0.4730 0.000 0.304 0.020 0.676
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.4522 0.4670 0.000 0.680 0.000 0.320
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.8732 0.000 0.000 1.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.1305 0.7061 0.000 0.960 0.004 0.036
#> F4142833-0749-44A4-B769-66262AA4A484 2 0.1256 0.7046 0.000 0.964 0.008 0.028
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.2021 0.6628 0.000 0.056 0.012 0.932
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.1936 0.8760 0.000 0.032 0.940 0.028
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 4 0.4008 0.6391 0.000 0.032 0.148 0.820
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0592 0.7045 0.000 0.984 0.000 0.016
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.3450 0.7842 0.000 0.008 0.836 0.156
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.1406 0.6628 0.000 0.016 0.024 0.960
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 4 0.6370 0.5115 0.000 0.100 0.280 0.620
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.3856 0.6419 0.000 0.032 0.136 0.832
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.4978 0.4029 0.000 0.612 0.004 0.384
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.1584 0.6638 0.000 0.012 0.036 0.952
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 4 0.7335 0.3013 0.000 0.344 0.168 0.488
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.4776 0.4860 0.000 0.272 0.016 0.712
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.5168 -0.1007 0.000 0.500 0.004 0.496
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.5220 0.7082 0.752 0.156 0.000 0.092
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 4 0.7188 0.4187 0.000 0.164 0.308 0.528
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.0524 0.8729 0.000 0.004 0.988 0.008
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.4722 0.4376 0.000 0.692 0.008 0.300
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.5039 0.2201 0.000 0.592 0.004 0.404
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 4 0.3876 0.6499 0.000 0.040 0.124 0.836
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 4 0.5273 0.2378 0.000 0.456 0.008 0.536
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.3966 0.8166 0.000 0.088 0.840 0.072
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.4978 0.3826 0.000 0.612 0.004 0.384
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.0657 0.6629 0.000 0.004 0.012 0.984
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.1474 0.6960 0.000 0.948 0.000 0.052
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0188 0.8709 0.000 0.000 0.996 0.004
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 4 0.5143 0.1955 0.000 0.456 0.004 0.540
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.4722 0.55858 0.608 0.368 0.000 0.024 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.1908 0.70698 0.908 0.092 0.000 0.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.4428 0.62285 0.084 0.756 0.000 0.160 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.2130 0.73673 0.908 0.080 0.000 0.012 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.5402 0.59210 0.276 0.652 0.024 0.048 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.2439 0.81841 0.000 0.004 0.876 0.120 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.6479 0.33778 0.008 0.540 0.240 0.212 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.1952 0.75573 0.912 0.084 0.000 0.004 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.4538 0.51457 0.364 0.620 0.000 0.016 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.3972 0.79683 0.032 0.172 0.788 0.008 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.0000 0.92311 0.000 0.000 0.000 0.000 1.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.4134 0.49441 0.004 0.704 0.008 0.284 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.2813 0.64962 0.108 0.868 0.000 0.024 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.86274 0.000 0.000 1.000 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.2818 0.68394 0.856 0.132 0.000 0.012 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.2329 0.69333 0.876 0.124 0.000 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.1408 0.66276 0.044 0.948 0.000 0.008 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.2516 0.69882 0.860 0.140 0.000 0.000 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.2208 0.67358 0.072 0.908 0.000 0.020 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.3375 0.74086 0.840 0.104 0.000 0.056 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.5737 0.12180 0.084 0.460 0.000 0.456 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.4386 0.61698 0.096 0.764 0.140 0.000 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 1 0.5509 0.28476 0.472 0.464 0.000 0.064 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.2664 0.86131 0.004 0.092 0.884 0.020 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.1671 0.75479 0.924 0.076 0.000 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.5093 0.57028 0.696 0.180 0.000 0.124 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 1 0.5508 0.36954 0.476 0.460 0.000 0.064 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.4834 0.72291 0.004 0.252 0.052 0.692 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.4933 0.60763 0.228 0.692 0.000 0.080 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.4197 0.59882 0.076 0.776 0.000 0.148 0.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.5653 0.59710 0.208 0.632 0.000 0.160 0.000
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.86274 0.000 0.000 1.000 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0566 0.86478 0.012 0.004 0.984 0.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.5035 0.58437 0.252 0.672 0.000 0.076 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.1525 0.74928 0.948 0.036 0.000 0.012 0.004
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.2233 0.75275 0.892 0.104 0.000 0.004 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.3649 0.78191 0.152 0.040 0.808 0.000 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.4474 0.68068 0.012 0.332 0.004 0.652 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0807 0.86519 0.012 0.012 0.976 0.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.3626 0.83980 0.064 0.084 0.840 0.012 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.1892 0.67869 0.080 0.916 0.004 0.000 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.0000 0.92311 0.000 0.000 0.000 0.000 1.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.0703 0.74946 0.976 0.024 0.000 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.4378 0.63506 0.216 0.740 0.040 0.004 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.2104 0.74962 0.916 0.024 0.000 0.060 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.4114 0.63495 0.244 0.024 0.000 0.000 0.732
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.3193 0.82643 0.004 0.112 0.032 0.852 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.3116 0.74412 0.860 0.076 0.000 0.064 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.5579 0.64017 0.116 0.264 0.000 0.620 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.3612 0.58961 0.268 0.732 0.000 0.000 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.1281 0.78066 0.000 0.032 0.012 0.956 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.2170 0.67620 0.088 0.904 0.004 0.004 0.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.4997 0.74784 0.008 0.136 0.128 0.728 0.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.4746 0.49081 0.032 0.684 0.276 0.008 0.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.3454 0.84677 0.024 0.044 0.856 0.076 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.0000 0.92311 0.000 0.000 0.000 0.000 1.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.5164 0.64247 0.672 0.232 0.000 0.096 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.1544 0.80441 0.000 0.068 0.000 0.932 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.6010 0.60267 0.288 0.608 0.044 0.060 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.4045 0.78938 0.136 0.064 0.796 0.004 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 2 0.4397 0.38831 0.432 0.564 0.004 0.000 0.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.1043 0.80206 0.000 0.040 0.000 0.960 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 5 0.4114 0.63664 0.244 0.024 0.000 0.000 0.732
#> B40B9470-990D-4443-8484-17266E829557 5 0.5197 0.49616 0.284 0.008 0.000 0.056 0.652
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.5268 0.55780 0.612 0.320 0.000 0.068 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 2 0.3242 0.67449 0.172 0.816 0.012 0.000 0.000
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 1 0.3837 0.47508 0.692 0.308 0.000 0.000 0.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 1 0.5498 0.36998 0.496 0.440 0.000 0.064 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.4879 0.58581 0.076 0.696 0.000 0.228 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.2763 0.74183 0.848 0.148 0.000 0.004 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 2 0.4523 0.52731 0.344 0.640 0.004 0.012 0.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 1 0.5051 0.62638 0.664 0.264 0.000 0.072 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 5 0.0000 0.92311 0.000 0.000 0.000 0.000 1.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 1 0.5389 0.21308 0.508 0.436 0.000 0.056 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.3395 0.83824 0.004 0.104 0.844 0.048 0.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.4553 0.30271 0.604 0.008 0.000 0.004 0.384
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.6269 0.11769 0.512 0.364 0.000 0.012 0.112
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.2359 0.86410 0.036 0.044 0.912 0.008 0.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.0898 0.74998 0.972 0.020 0.000 0.008 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 1 0.5878 0.49958 0.548 0.336 0.000 0.116 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 1 0.6616 0.23712 0.456 0.292 0.000 0.252 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 5 0.6827 0.35961 0.148 0.224 0.000 0.056 0.572
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0000 0.86274 0.000 0.000 1.000 0.000 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.2304 0.81603 0.008 0.100 0.000 0.892 0.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 1 0.3477 0.73525 0.832 0.112 0.000 0.056 0.000
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.2848 0.67487 0.104 0.868 0.000 0.028 0.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.4801 0.72665 0.084 0.184 0.004 0.728 0.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 5 0.0000 0.92311 0.000 0.000 0.000 0.000 1.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 4 0.3086 0.80687 0.004 0.180 0.000 0.816 0.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 4 0.2424 0.81680 0.000 0.132 0.000 0.868 0.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.1809 0.66916 0.060 0.928 0.000 0.012 0.000
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.1544 0.63861 0.000 0.932 0.000 0.068 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.3428 0.84672 0.052 0.092 0.848 0.008 0.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.3985 0.84391 0.036 0.064 0.828 0.072 0.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.0898 0.75036 0.972 0.020 0.000 0.008 0.000
#> 2C2589E0-2055-43AC-8001-1643839F80D4 2 0.5394 0.55260 0.132 0.660 0.208 0.000 0.000
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.3126 0.85670 0.028 0.088 0.868 0.016 0.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 2 0.4382 0.57870 0.276 0.700 0.004 0.020 0.000
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 2 0.4232 0.55601 0.312 0.676 0.000 0.012 0.000
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.4558 0.51218 0.208 0.728 0.000 0.064 0.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 4 0.3700 0.76665 0.008 0.240 0.000 0.752 0.000
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.3705 0.60686 0.120 0.816 0.000 0.064 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 1 0.1704 0.75773 0.928 0.068 0.000 0.004 0.000
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 1 0.6274 0.43246 0.536 0.256 0.000 0.208 0.000
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 3 0.7019 0.20706 0.068 0.384 0.480 0.044 0.024
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 2 0.4708 0.60274 0.292 0.668 0.000 0.040 0.000
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#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.3913 0.44703 0.676 0.324 0.000 0.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.5396 0.53949 0.588 0.340 0.000 0.072 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.86274 0.000 0.000 1.000 0.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.3595 0.81823 0.044 0.140 0.000 0.816 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.2011 0.81772 0.004 0.088 0.000 0.908 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.4582 0.41267 0.416 0.572 0.000 0.012 0.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.3052 0.85449 0.032 0.092 0.868 0.008 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.2813 0.58932 0.000 0.832 0.000 0.168 0.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0451 0.86312 0.000 0.004 0.988 0.008 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0693 0.74822 0.980 0.012 0.000 0.008 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.4305 -0.09641 0.512 0.488 0.000 0.000 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 1 0.5464 0.58804 0.648 0.224 0.000 0.128 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.2966 0.65070 0.816 0.184 0.000 0.000 0.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0000 0.86274 0.000 0.000 1.000 0.000 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.2591 0.86408 0.032 0.044 0.904 0.020 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 0.1914 0.75524 0.924 0.060 0.000 0.016 0.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.6659 0.14292 0.396 0.476 0.060 0.068 0.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.1956 0.75346 0.916 0.076 0.000 0.008 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 1 0.5126 0.57719 0.636 0.300 0.000 0.064 0.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0609 0.74900 0.980 0.020 0.000 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.1195 0.75438 0.960 0.028 0.000 0.012 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.1493 0.75495 0.948 0.028 0.000 0.024 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.4291 0.56728 0.092 0.772 0.000 0.136 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.0963 0.75294 0.964 0.036 0.000 0.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.4306 0.53687 0.328 0.660 0.000 0.012 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.1408 0.75246 0.948 0.044 0.000 0.008 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.3047 0.81711 0.004 0.160 0.004 0.832 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.4835 0.61407 0.128 0.736 0.004 0.132 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.4960 0.61521 0.668 0.268 0.000 0.064 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.86274 0.000 0.000 1.000 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.2928 0.74897 0.872 0.064 0.000 0.064 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.1251 0.75268 0.956 0.036 0.000 0.008 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.3990 0.46711 0.004 0.688 0.000 0.308 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.3003 0.86241 0.016 0.064 0.880 0.040 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.3849 0.64055 0.024 0.832 0.084 0.060 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.0880 0.75119 0.968 0.032 0.000 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.3478 0.79064 0.004 0.032 0.828 0.136 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.3522 0.78165 0.004 0.212 0.004 0.780 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.4476 0.59424 0.048 0.764 0.172 0.016 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.2769 0.81150 0.000 0.092 0.032 0.876 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.5418 0.54082 0.568 0.364 0.000 0.068 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.2629 0.83057 0.004 0.136 0.000 0.860 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.5252 0.57051 0.292 0.632 0.076 0.000 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.0162 0.77283 0.000 0.004 0.000 0.996 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.4273 0.18552 0.448 0.552 0.000 0.000 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 5 0.4378 0.62077 0.248 0.036 0.000 0.000 0.716
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.4670 0.58409 0.064 0.740 0.188 0.008 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.0000 0.86274 0.000 0.000 1.000 0.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.4290 0.45543 0.680 0.304 0.000 0.016 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.4126 0.32726 0.620 0.380 0.000 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.4148 0.63487 0.024 0.812 0.072 0.092 0.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.4173 0.56981 0.300 0.688 0.000 0.012 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.4497 0.78447 0.092 0.120 0.776 0.012 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.5159 0.59429 0.644 0.284 0.000 0.072 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.3715 0.52149 0.000 0.736 0.004 0.260 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.1626 0.75309 0.940 0.016 0.000 0.044 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0290 0.86286 0.000 0.000 0.992 0.008 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.4402 0.52737 0.352 0.636 0.000 0.012 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.4178 0.3077 0.372 0.608 0.000 0.000 0.000 0.020
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.0405 0.7564 0.988 0.008 0.000 0.000 0.000 0.004
#> 3BBC7540-136B-47C8-9C09-CD423685B742 6 0.6434 0.4827 0.092 0.296 0.000 0.100 0.000 0.512
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.2790 0.7177 0.840 0.020 0.000 0.000 0.000 0.140
#> 82DA87CF-C067-44B3-A372-ECB056337B08 6 0.4320 0.7456 0.128 0.040 0.020 0.032 0.000 0.780
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.2457 0.8342 0.000 0.000 0.880 0.084 0.000 0.036
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 6 0.6012 0.5539 0.016 0.028 0.180 0.168 0.000 0.608
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.1951 0.7462 0.908 0.076 0.000 0.000 0.000 0.016
#> C7A75027-D49D-4D60-93A8-588487B5D690 6 0.3281 0.7263 0.200 0.012 0.000 0.004 0.000 0.784
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.4098 0.7906 0.040 0.028 0.764 0.000 0.000 0.168
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.0000 0.9185 0.000 0.000 0.000 0.000 1.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 6 0.5948 0.4136 0.016 0.368 0.008 0.112 0.000 0.496
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.4389 0.2899 0.052 0.660 0.000 0.000 0.000 0.288
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.8650 0.000 0.000 1.000 0.000 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.1531 0.7507 0.928 0.004 0.000 0.000 0.000 0.068
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.0865 0.7573 0.964 0.000 0.000 0.000 0.000 0.036
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 6 0.4291 0.6624 0.044 0.292 0.000 0.000 0.000 0.664
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.1408 0.7586 0.944 0.020 0.000 0.000 0.000 0.036
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 6 0.4718 0.5944 0.068 0.316 0.000 0.000 0.000 0.616
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.4123 0.2175 0.420 0.568 0.000 0.000 0.000 0.012
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.3293 0.6352 0.000 0.812 0.000 0.140 0.000 0.048
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 6 0.3799 0.7547 0.096 0.080 0.020 0.000 0.000 0.804
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.2257 0.7274 0.116 0.876 0.000 0.000 0.000 0.008
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.2827 0.8625 0.008 0.044 0.876 0.008 0.000 0.064
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.1700 0.7452 0.916 0.080 0.000 0.000 0.000 0.004
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.5564 0.0294 0.492 0.416 0.000 0.044 0.000 0.048
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.2706 0.7212 0.104 0.860 0.000 0.000 0.000 0.036
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.3367 0.8108 0.004 0.020 0.028 0.832 0.000 0.116
#> E4E13C28-C852-4783-87C8-A77C0436354E 6 0.3748 0.7508 0.060 0.084 0.000 0.040 0.000 0.816
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.3869 0.6301 0.008 0.764 0.000 0.044 0.000 0.184
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 6 0.5088 0.6769 0.208 0.012 0.004 0.108 0.000 0.668
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.8650 0.000 0.000 1.000 0.000 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0508 0.8675 0.012 0.000 0.984 0.000 0.000 0.004
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.5510 0.3889 0.124 0.556 0.000 0.008 0.000 0.312
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.3229 0.6865 0.816 0.044 0.000 0.000 0.000 0.140
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.2135 0.7250 0.872 0.128 0.000 0.000 0.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.3415 0.7839 0.152 0.012 0.808 0.000 0.000 0.028
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.4294 0.7892 0.008 0.084 0.004 0.752 0.000 0.152
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0777 0.8688 0.004 0.000 0.972 0.000 0.000 0.024
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.3548 0.8430 0.068 0.036 0.836 0.004 0.000 0.056
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 6 0.3716 0.7524 0.076 0.128 0.004 0.000 0.000 0.792
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.0000 0.9185 0.000 0.000 0.000 0.000 1.000 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.0363 0.7575 0.988 0.012 0.000 0.000 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 6 0.3413 0.7534 0.112 0.052 0.012 0.000 0.000 0.824
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.4517 0.0187 0.524 0.444 0.000 0.000 0.000 0.032
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.3601 0.5501 0.312 0.000 0.000 0.000 0.684 0.004
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.4021 0.8262 0.000 0.144 0.032 0.780 0.000 0.044
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.4051 0.2198 0.432 0.560 0.000 0.008 0.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.4199 0.7931 0.072 0.108 0.000 0.780 0.000 0.040
#> 9723BC03-C568-4F06-8912-484010C196D0 6 0.3740 0.7473 0.120 0.096 0.000 0.000 0.000 0.784
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.2265 0.8417 0.000 0.056 0.012 0.904 0.000 0.028
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 6 0.4799 0.6731 0.088 0.252 0.004 0.000 0.000 0.656
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.3806 0.7882 0.012 0.012 0.116 0.808 0.000 0.052
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 6 0.3440 0.7201 0.036 0.028 0.108 0.000 0.000 0.828
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.3308 0.8550 0.028 0.024 0.860 0.052 0.000 0.036
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.0000 0.9185 0.000 0.000 0.000 0.000 1.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.4254 0.6030 0.224 0.720 0.000 0.012 0.000 0.044
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.0260 0.8317 0.000 0.000 0.000 0.992 0.000 0.008
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 6 0.6569 0.1186 0.160 0.352 0.020 0.020 0.000 0.448
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.3798 0.7931 0.136 0.008 0.788 0.000 0.000 0.068
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 6 0.3833 0.5609 0.344 0.008 0.000 0.000 0.000 0.648
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.1257 0.8373 0.000 0.020 0.000 0.952 0.000 0.028
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 5 0.3972 0.5328 0.320 0.004 0.000 0.000 0.664 0.012
#> B40B9470-990D-4443-8484-17266E829557 5 0.5567 0.1405 0.012 0.428 0.000 0.000 0.464 0.096
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 2 0.3470 0.7034 0.152 0.796 0.000 0.000 0.000 0.052
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 6 0.3720 0.7496 0.152 0.052 0.008 0.000 0.000 0.788
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 1 0.4091 0.5544 0.720 0.056 0.000 0.000 0.000 0.224
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.1643 0.7314 0.068 0.924 0.000 0.000 0.000 0.008
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 6 0.5867 0.6031 0.072 0.216 0.000 0.100 0.000 0.612
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.2482 0.7010 0.848 0.148 0.000 0.000 0.000 0.004
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 6 0.3263 0.7332 0.176 0.020 0.004 0.000 0.000 0.800
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.3091 0.7069 0.148 0.824 0.000 0.004 0.000 0.024
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 5 0.0000 0.9185 0.000 0.000 0.000 0.000 1.000 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.3848 0.6436 0.224 0.736 0.000 0.000 0.000 0.040
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.3420 0.8423 0.008 0.080 0.844 0.028 0.000 0.040
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.5814 0.3614 0.600 0.044 0.000 0.000 0.232 0.124
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 6 0.5319 -0.0465 0.408 0.048 0.000 0.000 0.028 0.516
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.2106 0.8660 0.032 0.000 0.904 0.000 0.000 0.064
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.1003 0.7571 0.964 0.020 0.000 0.000 0.000 0.016
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.2078 0.7279 0.040 0.916 0.000 0.032 0.000 0.012
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.3868 0.6910 0.100 0.792 0.000 0.096 0.000 0.012
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.5342 0.2128 0.004 0.560 0.000 0.000 0.324 0.112
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0000 0.8650 0.000 0.000 1.000 0.000 0.000 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.1498 0.8366 0.000 0.028 0.000 0.940 0.000 0.032
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 1 0.3771 0.6856 0.804 0.120 0.000 0.048 0.000 0.028
#> EB5CF362-6974-4137-AC92-2051B1594E13 6 0.5868 0.5070 0.084 0.348 0.000 0.044 0.000 0.524
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.4165 0.7814 0.060 0.048 0.004 0.792 0.000 0.096
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#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 6 0.3432 0.7494 0.044 0.084 0.036 0.000 0.000 0.836
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 6 0.4886 0.6791 0.100 0.244 0.000 0.004 0.000 0.652
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 1 0.5565 0.1753 0.508 0.152 0.000 0.000 0.000 0.340
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0458 0.8661 0.000 0.000 0.984 0.000 0.000 0.016
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.2827 0.8610 0.044 0.008 0.876 0.008 0.000 0.064
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.5679 0.3238 0.324 0.500 0.000 0.000 0.000 0.176
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 6 0.4061 0.7393 0.088 0.164 0.000 0.000 0.000 0.748
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 1 0.1926 0.7501 0.912 0.020 0.000 0.000 0.000 0.068
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 6 0.3351 0.7422 0.040 0.160 0.000 0.000 0.000 0.800
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0000 0.8650 0.000 0.000 1.000 0.000 0.000 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.4684 0.5130 0.664 0.012 0.056 0.000 0.000 0.268
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.2830 0.8387 0.000 0.144 0.000 0.836 0.000 0.020
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.1773 0.7288 0.036 0.932 0.000 0.016 0.000 0.016
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 6 0.4900 0.5395 0.292 0.080 0.004 0.000 0.000 0.624
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 6 0.5833 0.3153 0.016 0.416 0.000 0.120 0.000 0.448
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.2562 0.7007 0.172 0.828 0.000 0.000 0.000 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.1196 0.7564 0.952 0.008 0.000 0.000 0.000 0.040
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.2002 0.7221 0.012 0.920 0.000 0.028 0.000 0.040
#> E336F811-7C92-438D-9929-EA40AA2932CB 1 0.7318 0.0940 0.380 0.116 0.000 0.268 0.000 0.236
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 6 0.3867 0.7289 0.072 0.024 0.000 0.104 0.000 0.800
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.1921 0.7574 0.916 0.052 0.000 0.000 0.000 0.032
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 6 0.6290 0.4242 0.020 0.208 0.000 0.316 0.000 0.456
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0000 0.8650 0.000 0.000 1.000 0.000 0.000 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 6 0.3827 0.7424 0.088 0.032 0.072 0.000 0.000 0.808
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.3245 0.6731 0.172 0.800 0.000 0.000 0.000 0.028
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.3932 0.8114 0.020 0.060 0.816 0.080 0.000 0.024
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.2489 0.8387 0.000 0.128 0.000 0.860 0.000 0.012
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 1 0.4130 0.6648 0.768 0.140 0.000 0.016 0.000 0.076
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.2771 0.6949 0.004 0.868 0.000 0.068 0.000 0.060
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 6 0.4619 0.6985 0.000 0.092 0.048 0.112 0.000 0.748
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0458 0.8663 0.000 0.000 0.984 0.000 0.000 0.016
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.4118 0.7933 0.052 0.016 0.768 0.004 0.000 0.160
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.4321 0.6330 0.228 0.716 0.000 0.020 0.000 0.036
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.2250 0.6800 0.000 0.888 0.000 0.092 0.000 0.020
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.2759 0.8618 0.040 0.008 0.880 0.008 0.000 0.064
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 6 0.3419 0.7397 0.116 0.008 0.056 0.000 0.000 0.820
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.3860 0.5547 0.728 0.036 0.000 0.000 0.000 0.236
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 2 0.2294 0.7355 0.076 0.896 0.000 0.008 0.000 0.020
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.8650 0.000 0.000 1.000 0.000 0.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.3018 0.8414 0.016 0.112 0.000 0.848 0.000 0.024
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.2138 0.8420 0.004 0.052 0.000 0.908 0.000 0.036
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 6 0.3804 0.5587 0.336 0.008 0.000 0.000 0.000 0.656
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.3150 0.8556 0.040 0.036 0.856 0.000 0.000 0.068
#> EFA48913-D0BD-4530-A445-C327A89CE956 6 0.4787 0.6501 0.004 0.220 0.000 0.104 0.000 0.672
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0713 0.8661 0.000 0.000 0.972 0.000 0.000 0.028
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0508 0.7574 0.984 0.004 0.000 0.000 0.000 0.012
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.4742 -0.0615 0.512 0.048 0.000 0.000 0.000 0.440
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.3343 0.7193 0.144 0.812 0.000 0.040 0.000 0.004
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.2311 0.7201 0.880 0.016 0.000 0.000 0.000 0.104
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0000 0.8650 0.000 0.000 1.000 0.000 0.000 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.2445 0.8667 0.032 0.004 0.896 0.008 0.000 0.060
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 0.2520 0.7049 0.844 0.152 0.000 0.000 0.000 0.004
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.4044 0.6777 0.176 0.756 0.008 0.000 0.000 0.060
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.2019 0.7424 0.900 0.088 0.000 0.000 0.000 0.012
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 1 0.4528 0.2634 0.588 0.380 0.000 0.012 0.000 0.020
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0363 0.7571 0.988 0.000 0.000 0.000 0.000 0.012
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.1391 0.7584 0.944 0.040 0.000 0.000 0.000 0.016
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.2432 0.7175 0.876 0.100 0.000 0.000 0.000 0.024
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.1750 0.7206 0.012 0.932 0.000 0.016 0.000 0.040
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.0972 0.7565 0.964 0.028 0.000 0.000 0.000 0.008
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 6 0.2877 0.7336 0.168 0.012 0.000 0.000 0.000 0.820
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.1531 0.7475 0.928 0.068 0.000 0.000 0.000 0.004
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.2257 0.8258 0.000 0.008 0.000 0.876 0.000 0.116
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.5538 0.3501 0.048 0.552 0.004 0.040 0.000 0.356
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.2416 0.7063 0.156 0.844 0.000 0.000 0.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.8650 0.000 0.000 1.000 0.000 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.4313 0.0932 0.480 0.504 0.000 0.004 0.000 0.012
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.1257 0.7588 0.952 0.020 0.000 0.000 0.000 0.028
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.5428 -0.1748 0.000 0.484 0.000 0.120 0.000 0.396
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.3062 0.8652 0.020 0.024 0.872 0.028 0.000 0.056
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 6 0.4487 0.7389 0.024 0.080 0.064 0.048 0.000 0.784
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.1152 0.7512 0.952 0.044 0.000 0.000 0.000 0.004
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.3651 0.7984 0.004 0.044 0.824 0.096 0.000 0.032
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.2455 0.8260 0.000 0.012 0.004 0.872 0.000 0.112
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 6 0.3181 0.7419 0.048 0.044 0.052 0.000 0.000 0.856
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.3012 0.8303 0.000 0.024 0.020 0.852 0.000 0.104
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.3803 0.6371 0.184 0.760 0.000 0.000 0.000 0.056
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.2696 0.8304 0.000 0.028 0.000 0.856 0.000 0.116
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 6 0.2883 0.7221 0.212 0.000 0.000 0.000 0.000 0.788
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.1644 0.8396 0.000 0.040 0.000 0.932 0.000 0.028
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 1 0.5633 -0.1508 0.440 0.148 0.000 0.000 0.000 0.412
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 5 0.3988 0.5246 0.324 0.004 0.000 0.000 0.660 0.012
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 6 0.3892 0.7552 0.068 0.092 0.036 0.000 0.000 0.804
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.0000 0.8650 0.000 0.000 1.000 0.000 0.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.4408 0.4726 0.664 0.056 0.000 0.000 0.000 0.280
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.4594 0.3178 0.608 0.052 0.000 0.000 0.000 0.340
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 6 0.4258 0.7321 0.020 0.056 0.064 0.060 0.000 0.800
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 6 0.3408 0.7468 0.152 0.048 0.000 0.000 0.000 0.800
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.4386 0.7888 0.088 0.020 0.760 0.004 0.000 0.128
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.5449 0.2335 0.504 0.368 0.000 0.000 0.000 0.128
#> 44A16F74-F823-4B27-AC3B-52526426199B 6 0.5454 0.5173 0.000 0.316 0.008 0.116 0.000 0.560
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.2948 0.6356 0.804 0.188 0.000 0.000 0.000 0.008
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0146 0.8653 0.000 0.000 0.996 0.000 0.000 0.004
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 6 0.3136 0.7308 0.188 0.016 0.000 0.000 0.000 0.796
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 17395 rows and 473 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 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 0.636 0.900 0.950 0.2836 0.766 0.766
#> 3 3 0.374 0.407 0.643 1.1152 0.612 0.498
#> 4 4 0.549 0.641 0.822 0.1765 0.792 0.540
#> 5 5 0.680 0.719 0.852 0.0884 0.821 0.489
#> 6 6 0.654 0.646 0.779 0.0417 0.893 0.581
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 5
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
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.9450 0.000 1.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.0000 0.9450 0.000 1.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0000 0.9450 0.000 1.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.9639 1.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0000 0.9450 0.000 1.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.1843 0.9310 0.028 0.972
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.0376 0.9432 0.004 0.996
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.0000 0.9450 0.000 1.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.0000 0.9450 0.000 1.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.0000 0.9450 0.000 1.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.9639 1.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0000 0.9450 0.000 1.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.0000 0.9450 0.000 1.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.4690 0.8831 0.100 0.900
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.0000 0.9450 0.000 1.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.0000 0.9450 0.000 1.000
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#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.9775 0.4084 0.412 0.588
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.2043 0.9287 0.032 0.968
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.0000 0.9450 0.000 1.000
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.0000 0.9450 0.000 1.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.4690 0.8807 0.100 0.900
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 2 0.4690 0.8831 0.100 0.900
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.0000 0.9450 0.000 1.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.0000 0.9450 0.000 1.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 2 0.0000 0.9450 0.000 1.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.5059 0.8707 0.112 0.888
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 1 0.2778 0.9213 0.952 0.048
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.0000 0.9450 0.000 1.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.3733 0.9026 0.072 0.928
#> 1707CA8B-228E-49F9-B78A-A0171E853376 2 0.4690 0.8831 0.100 0.900
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 2 0.0000 0.9450 0.000 1.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.9209 0.5667 0.336 0.664
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.0000 0.9450 0.000 1.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 2 0.4690 0.8831 0.100 0.900
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.0000 0.9450 0.000 1.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.0000 0.9450 0.000 1.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 2 0.0000 0.9450 0.000 1.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 2 0.4690 0.8831 0.100 0.900
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.7453 0.7617 0.212 0.788
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.5178 0.8672 0.116 0.884
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.0000 0.9450 0.000 1.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.0000 0.9450 0.000 1.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.0000 0.9450 0.000 1.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 2 0.4690 0.8831 0.100 0.900
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 2 0.0000 0.9450 0.000 1.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.0000 0.9450 0.000 1.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0000 0.9450 0.000 1.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.0000 0.9450 0.000 1.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 2 0.4690 0.8831 0.100 0.900
#> E5D94733-7D43-4021-8F57-4426EF183682 2 0.4690 0.8831 0.100 0.900
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.0000 0.9450 0.000 1.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.0000 0.9450 0.000 1.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.9608 0.4670 0.384 0.616
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.0000 0.9450 0.000 1.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 2 0.0000 0.9450 0.000 1.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0000 0.9450 0.000 1.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0000 0.9450 0.000 1.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.8443 0.6798 0.272 0.728
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.2236 0.9260 0.036 0.964
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.0000 0.9450 0.000 1.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.9450 0.000 1.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.7528 0.7551 0.216 0.784
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.0000 0.9450 0.000 1.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.9450 0.000 1.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.4690 0.8831 0.100 0.900
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0000 0.9450 0.000 1.000
#> F4142833-0749-44A4-B769-66262AA4A484 2 0.0000 0.9450 0.000 1.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.3733 0.9021 0.072 0.928
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.2778 0.9193 0.048 0.952
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.0000 0.9450 0.000 1.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0000 0.9450 0.000 1.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.0000 0.9450 0.000 1.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.5059 0.8707 0.112 0.888
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.0000 0.9450 0.000 1.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.5059 0.8707 0.112 0.888
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.8661 0.6494 0.288 0.712
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.5059 0.8707 0.112 0.888
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.7453 0.7643 0.212 0.788
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.7602 0.7492 0.220 0.780
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.3733 0.9041 0.072 0.928
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.0000 0.9639 1.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.0000 0.9450 0.000 1.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 2 0.4690 0.8831 0.100 0.900
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.0000 0.9450 0.000 1.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0000 0.9450 0.000 1.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.0000 0.9450 0.000 1.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.0000 0.9450 0.000 1.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.0000 0.9450 0.000 1.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.0000 0.9639 1.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.2423 0.9235 0.040 0.960
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.0000 0.9450 0.000 1.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.4690 0.8831 0.100 0.900
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.0000 0.9450 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.5058 0.54275 0.000 0.756 0.244
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.0000 0.44380 0.000 1.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 3 0.6095 -0.03407 0.000 0.392 0.608
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.91473 1.000 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.5926 0.03623 0.000 0.644 0.356
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.6398 0.40652 0.004 0.416 0.580
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.1774 0.53200 0.016 0.024 0.960
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.4399 0.52967 0.000 0.812 0.188
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.2066 0.46101 0.000 0.940 0.060
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.5810 0.08494 0.000 0.664 0.336
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.91473 1.000 0.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 3 0.1031 0.53168 0.000 0.024 0.976
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.5529 0.15493 0.000 0.704 0.296
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.6192 0.40589 0.000 0.420 0.580
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.6192 0.42584 0.000 0.580 0.420
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.5968 0.48726 0.000 0.636 0.364
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.5733 0.11174 0.000 0.676 0.324
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.5178 0.20907 0.000 0.744 0.256
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.5431 0.54412 0.000 0.716 0.284
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.5465 0.54338 0.000 0.712 0.288
#> E8385A24-9459-4D47-9147-3A628D1A213D 3 0.0000 0.53123 0.000 0.000 1.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.5706 0.11611 0.000 0.680 0.320
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.1031 0.45900 0.000 0.976 0.024
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.6260 0.37158 0.000 0.448 0.552
#> 032E0758-7A5B-405B-88D3-74C527605780 2 0.5465 0.54338 0.000 0.712 0.288
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 3 0.9745 -0.15352 0.232 0.348 0.420
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.4605 0.53433 0.000 0.796 0.204
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 3 0.0892 0.53268 0.000 0.020 0.980
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.6192 0.42584 0.000 0.580 0.420
#> D48A0C08-C253-49EA-9083-DCA68541072B 3 0.5988 0.07760 0.000 0.368 0.632
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 3 0.1129 0.53331 0.020 0.004 0.976
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.6192 0.40589 0.000 0.420 0.580
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.6192 0.40589 0.000 0.420 0.580
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.6154 0.44608 0.000 0.592 0.408
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0000 0.91473 1.000 0.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.5465 0.54338 0.000 0.712 0.288
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 1 0.9808 -0.05441 0.432 0.288 0.280
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 3 0.1129 0.52728 0.020 0.004 0.976
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.6398 0.40600 0.004 0.416 0.580
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.6095 -0.05953 0.000 0.608 0.392
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.5706 0.11966 0.000 0.680 0.320
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.0000 0.91473 1.000 0.000 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.4974 0.54169 0.000 0.764 0.236
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.5591 0.14523 0.000 0.696 0.304
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.6168 0.43584 0.000 0.588 0.412
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.0000 0.91473 1.000 0.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 3 0.0000 0.53123 0.000 0.000 1.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.5859 0.51136 0.000 0.656 0.344
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 3 0.3116 0.46890 0.108 0.000 0.892
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.5431 0.53815 0.000 0.716 0.284
#> F8FF0B4E-0868-417C-9118-F484437E57DA 3 0.0000 0.53123 0.000 0.000 1.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.6274 0.36479 0.000 0.456 0.544
#> FE2C169A-E41F-45EB-B61E-776493069D78 3 0.2187 0.53030 0.028 0.024 0.948
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.9974 0.27650 0.324 0.308 0.368
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.6192 0.40589 0.000 0.420 0.580
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0000 0.91473 1.000 0.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.6154 0.44066 0.000 0.592 0.408
#> D58CE99E-A954-4555-AA01-6582C049B7ED 3 0.0747 0.53227 0.016 0.000 0.984
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.5621 0.13812 0.000 0.692 0.308
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 2 0.5859 0.06562 0.000 0.656 0.344
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 2 0.4974 0.23455 0.000 0.764 0.236
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 3 0.3267 0.46277 0.116 0.000 0.884
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.0000 0.91473 1.000 0.000 0.000
#> B40B9470-990D-4443-8484-17266E829557 1 0.0000 0.91473 1.000 0.000 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.9323 0.35568 0.500 0.312 0.188
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 2 0.5621 0.13812 0.000 0.692 0.308
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.6267 -0.19889 0.000 0.548 0.452
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.3752 0.51329 0.000 0.856 0.144
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 3 0.0000 0.53123 0.000 0.000 1.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 2 0.4555 0.53330 0.000 0.800 0.200
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 2 0.1289 0.43155 0.000 0.968 0.032
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 3 0.9569 -0.19778 0.196 0.384 0.420
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 1 0.0000 0.91473 1.000 0.000 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 1 0.9148 0.37427 0.544 0.220 0.236
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.6280 0.35425 0.000 0.460 0.540
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.0000 0.91473 1.000 0.000 0.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.0000 0.91473 1.000 0.000 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.6192 0.40589 0.000 0.420 0.580
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 2 0.5905 0.49990 0.000 0.648 0.352
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.6026 0.48171 0.000 0.624 0.376
#> B308794B-BB34-43C7-AC89-C5230E782F0A 3 0.6260 -0.28893 0.000 0.448 0.552
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 1 0.0000 0.91473 1.000 0.000 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.6192 0.40589 0.000 0.420 0.580
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 3 0.1529 0.52514 0.040 0.000 0.960
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 3 0.5948 -0.09170 0.000 0.360 0.640
#> EB5CF362-6974-4137-AC92-2051B1594E13 3 0.0000 0.53123 0.000 0.000 1.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 3 0.0000 0.53123 0.000 0.000 1.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0000 0.91473 1.000 0.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 3 0.0892 0.53311 0.020 0.000 0.980
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 3 0.0892 0.53311 0.020 0.000 0.980
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.6192 0.40589 0.000 0.420 0.580
#> 77744579-17ED-499B-92FD-089789C44F8A 3 0.5291 0.12049 0.000 0.268 0.732
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.6280 0.35425 0.000 0.460 0.540
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.7874 0.41946 0.076 0.320 0.604
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 2 0.5431 0.54412 0.000 0.716 0.284
#> 2C2589E0-2055-43AC-8001-1643839F80D4 2 0.5678 0.12862 0.000 0.684 0.316
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 2 0.6095 -0.05953 0.000 0.608 0.392
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 2 0.5760 0.51889 0.000 0.672 0.328
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 2 0.2356 0.48333 0.000 0.928 0.072
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.5706 0.11966 0.000 0.680 0.320
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#> B1F7AADF-8867-48D3-9116-854929420482 2 0.5465 0.54338 0.000 0.712 0.288
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.6192 0.40589 0.000 0.420 0.580
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 3 0.0000 0.53123 0.000 0.000 1.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.5678 0.12706 0.000 0.684 0.316
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.1015 0.53401 0.012 0.008 0.980
#> 69B229BC-0964-48FC-9FBC-B9303C027981 3 0.9714 -0.16300 0.224 0.356 0.420
#> F17C0E73-4C34-4F82-8562-56985A59316C 3 0.0000 0.53123 0.000 0.000 1.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.9993 0.25077 0.336 0.316 0.348
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 3 0.0592 0.53195 0.012 0.000 0.988
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.3678 0.49261 0.080 0.028 0.892
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.0000 0.91473 1.000 0.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.6252 0.37708 0.000 0.444 0.556
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.6192 0.40589 0.000 0.420 0.580
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.3482 0.50703 0.000 0.872 0.128
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.5138 0.54338 0.000 0.748 0.252
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.6026 0.11664 0.000 0.624 0.376
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.7192 0.40703 0.028 0.560 0.412
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.6062 -0.03880 0.000 0.616 0.384
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.0237 0.91189 0.996 0.004 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 3 0.0000 0.53123 0.000 0.000 1.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.5968 0.48860 0.000 0.636 0.364
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.6192 0.40589 0.000 0.420 0.580
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.5058 0.54230 0.000 0.756 0.244
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.2197 0.7348 0.000 0.928 0.048 0.024
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.3908 0.6415 0.000 0.784 0.212 0.004
#> 3BBC7540-136B-47C8-9C09-CD423685B742 4 0.7250 0.2253 0.000 0.316 0.168 0.516
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.9531 1.000 0.000 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.7425 0.1375 0.000 0.420 0.412 0.168
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.3074 0.6973 0.000 0.000 0.848 0.152
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.2281 0.7864 0.000 0.000 0.096 0.904
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.3306 0.6931 0.000 0.840 0.156 0.004
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.4277 0.5875 0.000 0.720 0.280 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.4372 0.5201 0.000 0.268 0.728 0.004
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.9531 1.000 0.000 0.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.2329 0.8067 0.000 0.012 0.072 0.916
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.6759 0.3771 0.000 0.548 0.344 0.108
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0592 0.8119 0.000 0.000 0.984 0.016
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.1661 0.7182 0.000 0.944 0.004 0.052
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.0592 0.7314 0.000 0.984 0.016 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.7058 0.3522 0.000 0.520 0.344 0.136
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.5070 0.3636 0.000 0.580 0.416 0.004
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0657 0.7324 0.000 0.984 0.012 0.004
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0469 0.7301 0.000 0.988 0.000 0.012
#> E8385A24-9459-4D47-9147-3A628D1A213D 4 0.1174 0.8225 0.000 0.012 0.020 0.968
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.5039 0.2076 0.000 0.404 0.592 0.004
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.1824 0.7293 0.000 0.936 0.060 0.004
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0592 0.8069 0.000 0.016 0.984 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 2 0.0469 0.7317 0.000 0.988 0.000 0.012
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.5152 0.2403 0.004 0.608 0.004 0.384
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.2831 0.7061 0.000 0.876 0.120 0.004
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.1022 0.8187 0.000 0.000 0.032 0.968
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.1489 0.7214 0.000 0.952 0.004 0.044
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.7710 -0.0376 0.000 0.368 0.224 0.408
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.3444 0.7106 0.000 0.000 0.184 0.816
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0592 0.8119 0.000 0.000 0.984 0.016
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0188 0.8113 0.000 0.000 0.996 0.004
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.5072 0.5677 0.000 0.740 0.052 0.208
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0000 0.9531 1.000 0.000 0.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0188 0.7325 0.000 0.996 0.004 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.5649 0.2352 0.392 0.000 0.580 0.028
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.1674 0.8212 0.004 0.012 0.032 0.952
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.2060 0.7854 0.016 0.000 0.932 0.052
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.2973 0.7018 0.000 0.144 0.856 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.7300 0.3707 0.000 0.516 0.304 0.180
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.0000 0.9531 1.000 0.000 0.000 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.1211 0.7310 0.000 0.960 0.040 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.4898 0.3717 0.000 0.584 0.416 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.1209 0.7241 0.000 0.964 0.004 0.032
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.0000 0.9531 1.000 0.000 0.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.1059 0.8217 0.000 0.012 0.016 0.972
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.2021 0.7299 0.000 0.932 0.056 0.012
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.0967 0.8214 0.004 0.004 0.016 0.976
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.4104 0.7002 0.000 0.832 0.088 0.080
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.1302 0.8167 0.000 0.000 0.044 0.956
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.5289 0.4173 0.000 0.020 0.636 0.344
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.3569 0.6898 0.000 0.000 0.196 0.804
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.6810 0.5773 0.104 0.032 0.660 0.204
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0592 0.8119 0.000 0.000 0.984 0.016
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0000 0.9531 1.000 0.000 0.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.2483 0.7266 0.000 0.916 0.032 0.052
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.1022 0.8187 0.000 0.000 0.032 0.968
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.6925 0.3885 0.000 0.544 0.328 0.128
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.4509 0.4847 0.000 0.288 0.708 0.004
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 2 0.4855 0.4857 0.000 0.644 0.352 0.004
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.1209 0.8174 0.004 0.000 0.032 0.964
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.0000 0.9531 1.000 0.000 0.000 0.000
#> B40B9470-990D-4443-8484-17266E829557 1 0.0000 0.9531 1.000 0.000 0.000 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 2 0.7576 0.1514 0.204 0.504 0.004 0.288
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 2 0.5155 0.2379 0.000 0.528 0.468 0.004
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 3 0.6928 0.0696 0.000 0.372 0.512 0.116
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0657 0.7324 0.000 0.984 0.012 0.004
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 4 0.0804 0.8200 0.000 0.012 0.008 0.980
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 2 0.2408 0.7137 0.000 0.896 0.104 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 2 0.4252 0.6113 0.000 0.744 0.252 0.004
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.5070 0.1591 0.000 0.580 0.004 0.416
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 1 0.0000 0.9531 1.000 0.000 0.000 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 1 0.7542 0.2735 0.472 0.320 0.000 0.208
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.0469 0.8090 0.000 0.012 0.988 0.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.0000 0.9531 1.000 0.000 0.000 0.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.0000 0.9531 1.000 0.000 0.000 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0336 0.8117 0.000 0.000 0.992 0.008
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 2 0.1209 0.7241 0.000 0.964 0.004 0.032
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.2408 0.7269 0.000 0.920 0.044 0.036
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.5823 0.3564 0.000 0.608 0.044 0.348
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 1 0.0000 0.9531 1.000 0.000 0.000 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0592 0.8119 0.000 0.000 0.984 0.016
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.1209 0.8174 0.004 0.000 0.032 0.964
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 2 0.6499 0.1582 0.000 0.524 0.076 0.400
#> EB5CF362-6974-4137-AC92-2051B1594E13 4 0.1488 0.8219 0.000 0.012 0.032 0.956
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.1174 0.8225 0.000 0.012 0.020 0.968
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0000 0.9531 1.000 0.000 0.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 4 0.1022 0.8187 0.000 0.000 0.032 0.968
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 4 0.1118 0.8184 0.000 0.000 0.036 0.964
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.4941 0.1779 0.000 0.000 0.564 0.436
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.6360 0.1710 0.000 0.516 0.064 0.420
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.0657 0.8119 0.000 0.004 0.984 0.012
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 4 0.4985 0.0496 0.000 0.000 0.468 0.532
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 2 0.0469 0.7315 0.000 0.988 0.012 0.000
#> 2C2589E0-2055-43AC-8001-1643839F80D4 2 0.4989 0.1851 0.000 0.528 0.472 0.000
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.3257 0.6951 0.000 0.152 0.844 0.004
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 2 0.2408 0.7269 0.000 0.920 0.044 0.036
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 2 0.3208 0.6907 0.000 0.848 0.148 0.004
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.7077 0.3875 0.000 0.536 0.316 0.148
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 4 0.1118 0.8184 0.000 0.000 0.036 0.964
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.0000 0.7316 0.000 1.000 0.000 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 2 0.5050 0.1807 0.000 0.588 0.004 0.408
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 4 0.6000 0.3849 0.000 0.356 0.052 0.592
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 1 0.0000 0.9531 1.000 0.000 0.000 0.000
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 1 0.6123 0.6170 0.676 0.000 0.192 0.132
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 4 0.0992 0.8200 0.004 0.012 0.008 0.976
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 2 0.0779 0.7327 0.000 0.980 0.016 0.004
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 2 0.1520 0.7359 0.000 0.956 0.024 0.020
#> A3AC663C-1578-4946-AED3-2FF9A739168E 4 0.0804 0.8207 0.000 0.012 0.008 0.980
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.7121 0.4049 0.000 0.544 0.292 0.164
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 1 0.0000 0.9531 1.000 0.000 0.000 0.000
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.0817 0.8089 0.000 0.000 0.976 0.024
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.4122 0.5790 0.000 0.236 0.760 0.004
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 1 0.0000 0.9531 1.000 0.000 0.000 0.000
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.0592 0.8119 0.000 0.000 0.984 0.016
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 2 0.4857 0.5211 0.000 0.668 0.324 0.008
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 4 0.1488 0.8219 0.000 0.012 0.032 0.956
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.1211 0.7953 0.000 0.040 0.960 0.000
#> 4ED692EB-E194-49D7-9222-6232051426E5 4 0.3587 0.7619 0.000 0.088 0.052 0.860
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 2 0.4053 0.5428 0.000 0.768 0.004 0.228
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.3542 0.7130 0.028 0.000 0.852 0.120
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 2 0.0657 0.7342 0.000 0.984 0.012 0.004
#> 64B33223-EB30-49ED-A3D8-5AC598845465 2 0.7475 0.1412 0.000 0.420 0.404 0.176
#> 21599029-B6C9-4385-B87C-FDB99F956118 3 0.4776 0.3329 0.000 0.000 0.624 0.376
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 4 0.0937 0.8213 0.000 0.012 0.012 0.976
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 3 0.6748 0.2242 0.000 0.328 0.560 0.112
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 1 0.1004 0.9330 0.972 0.004 0.000 0.024
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 1 0.0000 0.9531 1.000 0.000 0.000 0.000
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 4 0.1584 0.8226 0.000 0.012 0.036 0.952
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 2 0.0188 0.7312 0.000 0.996 0.000 0.004
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 4 0.4669 0.7194 0.000 0.104 0.100 0.796
#> 8902E88F-181A-46FE-9C80-F11C107B33E4 4 0.7907 -0.0676 0.000 0.328 0.308 0.364
#> 24F2D373-AE15-47B0-8F1B-740426145C2C 2 0.0524 0.7326 0.000 0.988 0.008 0.004
#> A154A921-EB14-48DF-BF70-AE765CCE5CAB 1 0.0000 0.9531 1.000 0.000 0.000 0.000
#> D508AD79-2273-4E78-A6EE-97FBAAC7E851 2 0.4123 0.6795 0.000 0.820 0.044 0.136
#> 023D7F8E-5BD5-4AE8-8A7F-1851AA7F228A 2 0.5158 0.2272 0.000 0.524 0.472 0.004
#> 3BDE962B-6791-40BC-B3AA-C4D527FFEF22 2 0.2814 0.7000 0.000 0.868 0.132 0.000
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#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.6636 0.1180 0.080 0.552 0.004 0.364
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.3626 0.6556 0.000 0.184 0.812 0.004
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.0469 0.9421 0.988 0.012 0.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.0937 0.8206 0.000 0.012 0.012 0.976
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.1022 0.7250 0.000 0.968 0.000 0.032
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0592 0.8119 0.000 0.000 0.984 0.016
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.2216 0.7182 0.000 0.908 0.092 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.3398 0.7188 0.216 0.780 0.000 0.004 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.0880 0.8045 0.968 0.032 0.000 0.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 4 0.4437 0.1988 0.464 0.000 0.004 0.532 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.1671 0.9151 0.000 0.076 0.000 0.000 0.924
#> 82DA87CF-C067-44B3-A372-ECB056337B08 1 0.3039 0.6907 0.808 0.000 0.192 0.000 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.2329 0.7739 0.000 0.000 0.876 0.124 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0290 0.8742 0.000 0.000 0.008 0.992 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0794 0.8035 0.972 0.028 0.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.0510 0.8057 0.984 0.016 0.000 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 1 0.4235 0.2941 0.576 0.000 0.424 0.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.2536 0.7796 0.128 0.000 0.004 0.868 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 1 0.1894 0.7913 0.920 0.008 0.072 0.000 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.8649 0.000 0.000 1.000 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.1410 0.7124 0.060 0.940 0.000 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.3796 0.5656 0.700 0.300 0.000 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 1 0.1544 0.7941 0.932 0.000 0.068 0.000 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.1117 0.8080 0.964 0.020 0.016 0.000 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.2230 0.7403 0.884 0.116 0.000 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.3990 0.6884 0.308 0.688 0.000 0.004 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 4 0.0290 0.8734 0.008 0.000 0.000 0.992 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 1 0.3391 0.7099 0.800 0.012 0.188 0.000 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 1 0.2719 0.7160 0.852 0.144 0.004 0.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0404 0.8610 0.012 0.000 0.988 0.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 2 0.4276 0.5806 0.380 0.616 0.000 0.004 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0703 0.6805 0.000 0.976 0.000 0.024 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 1 0.0510 0.8050 0.984 0.016 0.000 0.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.0162 0.8757 0.000 0.000 0.004 0.996 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0324 0.6887 0.004 0.992 0.000 0.004 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 1 0.4211 0.3408 0.636 0.000 0.004 0.360 0.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.2921 0.7825 0.020 0.000 0.124 0.856 0.000
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.8649 0.000 0.000 1.000 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0162 0.8637 0.004 0.000 0.996 0.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.4965 0.6201 0.404 0.568 0.004 0.024 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.3814 0.7031 0.276 0.720 0.000 0.004 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.3949 0.4715 0.000 0.000 0.668 0.000 0.332
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.0162 0.8757 0.000 0.000 0.004 0.996 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0566 0.8589 0.000 0.000 0.984 0.012 0.004
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.3242 0.6323 0.216 0.000 0.784 0.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 1 0.3224 0.6591 0.824 0.000 0.016 0.160 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.2074 0.7606 0.896 0.104 0.000 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.1568 0.8051 0.944 0.020 0.036 0.000 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.2424 0.7215 0.132 0.868 0.000 0.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.0000 0.8756 0.000 0.000 0.000 1.000 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.4443 -0.3450 0.524 0.472 0.004 0.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.0162 0.8757 0.000 0.000 0.004 0.996 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.0510 0.8043 0.984 0.016 0.000 0.000 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.0000 0.8756 0.000 0.000 0.000 1.000 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.5260 0.6102 0.108 0.004 0.684 0.204 0.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.2280 0.7899 0.000 0.000 0.120 0.880 0.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.8280 0.2801 0.320 0.004 0.364 0.140 0.172
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0000 0.8649 0.000 0.000 1.000 0.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.4403 0.6781 0.340 0.648 0.004 0.008 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.0162 0.8757 0.000 0.000 0.004 0.996 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 1 0.0609 0.8062 0.980 0.000 0.020 0.000 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.4707 0.2318 0.392 0.020 0.588 0.000 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.0898 0.8077 0.972 0.020 0.008 0.000 0.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.0162 0.8757 0.000 0.000 0.004 0.996 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> B40B9470-990D-4443-8484-17266E829557 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 2 0.0703 0.6805 0.000 0.976 0.000 0.024 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 1 0.2470 0.7722 0.884 0.012 0.104 0.000 0.000
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 1 0.3837 0.5174 0.692 0.000 0.308 0.000 0.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 1 0.3109 0.6557 0.800 0.200 0.000 0.000 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 4 0.4028 0.6455 0.040 0.192 0.000 0.768 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0880 0.8045 0.968 0.032 0.000 0.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.0579 0.8055 0.984 0.008 0.000 0.008 0.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0703 0.6805 0.000 0.976 0.000 0.024 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.3010 0.5565 0.000 0.824 0.000 0.004 0.172
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.0290 0.8626 0.008 0.000 0.992 0.000 0.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0162 0.8637 0.004 0.000 0.996 0.000 0.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 2 0.2966 0.7212 0.184 0.816 0.000 0.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.4567 0.5764 0.448 0.544 0.004 0.004 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.4787 0.5697 0.456 0.528 0.004 0.012 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0000 0.8649 0.000 0.000 1.000 0.000 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.0162 0.8757 0.000 0.000 0.004 0.996 0.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 2 0.6462 0.4953 0.404 0.436 0.004 0.156 0.000
#> EB5CF362-6974-4137-AC92-2051B1594E13 4 0.0162 0.8757 0.000 0.000 0.004 0.996 0.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.0000 0.8756 0.000 0.000 0.000 1.000 0.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 4 0.0162 0.8757 0.000 0.000 0.004 0.996 0.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 4 0.0162 0.8757 0.000 0.000 0.004 0.996 0.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.5541 0.3266 0.076 0.000 0.552 0.372 0.000
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.5254 0.5441 0.460 0.500 0.004 0.036 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.0162 0.8640 0.004 0.000 0.996 0.000 0.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.4015 0.4961 0.000 0.000 0.652 0.348 0.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.2929 0.6758 0.820 0.180 0.000 0.000 0.000
#> 2C2589E0-2055-43AC-8001-1643839F80D4 1 0.1310 0.8083 0.956 0.020 0.024 0.000 0.000
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.4235 0.2062 0.424 0.000 0.576 0.000 0.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 2 0.4516 0.6137 0.416 0.576 0.004 0.004 0.000
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 1 0.0880 0.8045 0.968 0.032 0.000 0.000 0.000
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 1 0.0794 0.8057 0.972 0.000 0.028 0.000 0.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 4 0.0162 0.8757 0.000 0.000 0.004 0.996 0.000
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.4299 0.6024 0.388 0.608 0.000 0.004 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 2 0.0703 0.6805 0.000 0.976 0.000 0.024 0.000
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.4779 0.5808 0.448 0.536 0.004 0.012 0.000
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 5 0.5782 0.6019 0.000 0.176 0.172 0.008 0.644
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 4 0.0000 0.8756 0.000 0.000 0.000 1.000 0.000
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 1 0.2929 0.6846 0.820 0.180 0.000 0.000 0.000
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 2 0.4321 0.5693 0.396 0.600 0.000 0.004 0.000
#> A3AC663C-1578-4946-AED3-2FF9A739168E 4 0.0000 0.8756 0.000 0.000 0.000 1.000 0.000
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 1 0.0794 0.8059 0.972 0.000 0.028 0.000 0.000
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.0000 0.8649 0.000 0.000 1.000 0.000 0.000
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 1 0.4268 0.2389 0.556 0.000 0.444 0.000 0.000
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.0000 0.8649 0.000 0.000 1.000 0.000 0.000
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 1 0.0609 0.8055 0.980 0.020 0.000 0.000 0.000
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 4 0.0162 0.8757 0.000 0.000 0.004 0.996 0.000
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.0794 0.8532 0.028 0.000 0.972 0.000 0.000
#> 4ED692EB-E194-49D7-9222-6232051426E5 4 0.4375 0.3160 0.420 0.004 0.000 0.576 0.000
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 2 0.0404 0.6829 0.000 0.988 0.000 0.012 0.000
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.1704 0.8242 0.000 0.000 0.928 0.068 0.004
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 2 0.4276 0.6408 0.380 0.616 0.000 0.004 0.000
#> 64B33223-EB30-49ED-A3D8-5AC598845465 1 0.2873 0.7425 0.860 0.000 0.120 0.020 0.000
#> 21599029-B6C9-4385-B87C-FDB99F956118 3 0.2966 0.7194 0.000 0.000 0.816 0.184 0.000
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 4 0.0000 0.8756 0.000 0.000 0.000 1.000 0.000
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 1 0.4235 0.2675 0.576 0.000 0.424 0.000 0.000
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 5 0.1043 0.9454 0.000 0.040 0.000 0.000 0.960
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 4 0.0162 0.8757 0.000 0.000 0.004 0.996 0.000
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 2 0.4359 0.5172 0.412 0.584 0.000 0.004 0.000
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 4 0.3353 0.6937 0.196 0.000 0.008 0.796 0.000
#> 8902E88F-181A-46FE-9C80-F11C107B33E4 1 0.6381 0.0679 0.464 0.000 0.172 0.364 0.000
#> 24F2D373-AE15-47B0-8F1B-740426145C2C 1 0.1671 0.7767 0.924 0.076 0.000 0.000 0.000
#> A154A921-EB14-48DF-BF70-AE765CCE5CAB 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> D508AD79-2273-4E78-A6EE-97FBAAC7E851 2 0.4572 0.5758 0.452 0.540 0.004 0.004 0.000
#> 023D7F8E-5BD5-4AE8-8A7F-1851AA7F228A 1 0.2505 0.7796 0.888 0.020 0.092 0.000 0.000
#> 3BDE962B-6791-40BC-B3AA-C4D527FFEF22 1 0.0880 0.8060 0.968 0.032 0.000 0.000 0.000
#> 2F2D34BA-A568-470E-B0D9-5875E897FF39 3 0.0000 0.8649 0.000 0.000 1.000 0.000 0.000
#> 6DB55201-3973-4650-842E-842D5869C567 2 0.0703 0.6805 0.000 0.976 0.000 0.024 0.000
#> 258CFB91-4E4F-48F9-A483-9F6C4CFF0D3C 3 0.4213 0.5548 0.000 0.000 0.680 0.308 0.012
#> 5373681D-9C2C-46FE-AA89-05741DA4080B 1 0.2966 0.6868 0.816 0.184 0.000 0.000 0.000
#> 050B778A-9D6F-4742-B6AA-CBF8541F6203 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> 46FAC69E-DB01-452F-A3EE-D7339DD562CE 1 0.1608 0.7941 0.928 0.072 0.000 0.000 0.000
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#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0162 0.8757 0.000 0.000 0.004 0.996 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0703 0.6805 0.000 0.976 0.000 0.024 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.0000 0.8756 0.000 0.000 0.000 1.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.7813 0.4657 0.232 0.180 0.468 0.120 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.0162 0.8757 0.000 0.000 0.004 0.996 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.2497 0.8137 0.004 0.112 0.004 0.880 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0000 0.8649 0.000 0.000 1.000 0.000 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.0000 0.8649 0.000 0.000 1.000 0.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.1197 0.7946 0.952 0.048 0.000 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.2471 0.7339 0.864 0.136 0.000 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 1 0.2230 0.7756 0.912 0.000 0.044 0.044 0.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.6135 0.5096 0.068 0.656 0.000 0.188 0.088
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.3816 0.5002 0.304 0.000 0.696 0.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 5 0.0000 0.9771 0.000 0.000 0.000 0.000 1.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.0000 0.8756 0.000 0.000 0.000 1.000 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.2891 0.7220 0.176 0.824 0.000 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.8649 0.000 0.000 1.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.1043 0.8024 0.960 0.040 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
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.3719 0.6076 0.728 0.024 0.000 0.000 0.000 0.248
#> 27496AAB-AC06-4100-BB41-0029F63CC678 6 0.2170 0.6713 0.100 0.012 0.000 0.000 0.000 0.888
#> 3BBC7540-136B-47C8-9C09-CD423685B742 6 0.6453 0.3006 0.120 0.184 0.000 0.132 0.000 0.564
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.4831 0.8178 0.104 0.108 0.000 0.056 0.732 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 6 0.3307 0.6535 0.000 0.044 0.148 0.000 0.000 0.808
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.2662 0.7900 0.000 0.024 0.856 0.120 0.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.1010 0.8635 0.000 0.036 0.004 0.960 0.000 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 6 0.4161 -0.2383 0.448 0.012 0.000 0.000 0.000 0.540
#> C7A75027-D49D-4D60-93A8-588487B5D690 6 0.0891 0.7114 0.024 0.008 0.000 0.000 0.000 0.968
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 6 0.4914 0.5080 0.000 0.104 0.268 0.000 0.000 0.628
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.0000 0.9295 0.000 0.000 0.000 0.000 1.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.3141 0.7471 0.000 0.124 0.004 0.832 0.000 0.040
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 6 0.1313 0.7194 0.004 0.016 0.028 0.000 0.000 0.952
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.8779 0.000 0.000 1.000 0.000 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.3149 0.5925 0.824 0.044 0.000 0.000 0.000 0.132
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.3555 0.5850 0.712 0.008 0.000 0.000 0.000 0.280
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 6 0.2798 0.6936 0.000 0.112 0.036 0.000 0.000 0.852
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 6 0.0405 0.7142 0.004 0.008 0.000 0.000 0.000 0.988
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.5095 0.4798 0.584 0.104 0.000 0.000 0.000 0.312
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.4745 0.5591 0.644 0.088 0.000 0.000 0.000 0.268
#> E8385A24-9459-4D47-9147-3A628D1A213D 4 0.1204 0.8644 0.000 0.056 0.000 0.944 0.000 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 6 0.2468 0.6957 0.008 0.016 0.096 0.000 0.000 0.880
#> C42C8456-82F9-433C-82BA-F1284CDC425C 1 0.5411 0.3534 0.512 0.124 0.000 0.000 0.000 0.364
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.1265 0.8592 0.000 0.008 0.948 0.000 0.000 0.044
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.3819 0.6014 0.700 0.020 0.000 0.000 0.000 0.280
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.2003 0.4892 0.884 0.116 0.000 0.000 0.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 6 0.4294 0.4330 0.248 0.060 0.000 0.000 0.000 0.692
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.0260 0.8669 0.000 0.008 0.000 0.992 0.000 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.3658 0.5592 0.792 0.104 0.000 0.000 0.000 0.104
#> D48A0C08-C253-49EA-9083-DCA68541072B 6 0.4853 0.5674 0.024 0.184 0.004 0.080 0.000 0.708
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.3572 0.7756 0.000 0.060 0.100 0.820 0.000 0.020
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.8779 0.000 0.000 1.000 0.000 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0458 0.8730 0.000 0.000 0.984 0.000 0.000 0.016
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.5846 0.6901 0.284 0.540 0.004 0.008 0.000 0.164
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.2568 0.9161 0.000 0.068 0.000 0.056 0.876 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.4979 0.5210 0.640 0.136 0.000 0.000 0.000 0.224
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.4289 0.5144 0.004 0.032 0.660 0.000 0.304 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.0790 0.8659 0.000 0.032 0.000 0.968 0.000 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.1010 0.8687 0.000 0.036 0.960 0.004 0.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.3470 0.6903 0.000 0.052 0.796 0.000 0.000 0.152
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 6 0.2118 0.6950 0.000 0.104 0.008 0.000 0.000 0.888
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.0000 0.9295 0.000 0.000 0.000 0.000 1.000 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.4482 0.5253 0.580 0.036 0.000 0.000 0.000 0.384
#> 040D3276-2E61-426E-B182-AEE6C9778488 6 0.0779 0.7146 0.008 0.008 0.008 0.000 0.000 0.976
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.3240 0.5971 0.812 0.040 0.000 0.000 0.000 0.148
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.0937 0.9263 0.000 0.040 0.000 0.000 0.960 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.1444 0.8612 0.000 0.072 0.000 0.928 0.000 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.5738 0.2641 0.516 0.240 0.000 0.000 0.000 0.244
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.0458 0.8668 0.000 0.016 0.000 0.984 0.000 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 6 0.4908 0.3809 0.224 0.128 0.000 0.000 0.000 0.648
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.0260 0.8682 0.000 0.008 0.000 0.992 0.000 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.4917 0.7153 0.024 0.044 0.736 0.148 0.000 0.048
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.2325 0.8297 0.000 0.048 0.060 0.892 0.000 0.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.8177 0.2208 0.012 0.044 0.348 0.128 0.144 0.324
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0260 0.8766 0.000 0.008 0.992 0.000 0.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.0000 0.9295 0.000 0.000 0.000 0.000 1.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.5806 -0.2670 0.460 0.376 0.000 0.004 0.000 0.160
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.0363 0.8663 0.000 0.012 0.000 0.988 0.000 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 6 0.1863 0.6904 0.000 0.104 0.000 0.000 0.000 0.896
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.3995 0.0720 0.000 0.004 0.516 0.000 0.000 0.480
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 6 0.0458 0.7175 0.000 0.016 0.000 0.000 0.000 0.984
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.0713 0.8668 0.000 0.028 0.000 0.972 0.000 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 5 0.0000 0.9295 0.000 0.000 0.000 0.000 1.000 0.000
#> B40B9470-990D-4443-8484-17266E829557 5 0.2568 0.9161 0.000 0.068 0.000 0.056 0.876 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.3172 0.4440 0.824 0.128 0.000 0.048 0.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 6 0.1196 0.7139 0.000 0.008 0.040 0.000 0.000 0.952
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 6 0.3404 0.6043 0.000 0.016 0.224 0.000 0.000 0.760
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 1 0.4946 0.5178 0.616 0.100 0.000 0.000 0.000 0.284
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.5024 -0.1750 0.040 0.512 0.000 0.432 0.000 0.016
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 6 0.3804 0.2220 0.336 0.008 0.000 0.000 0.000 0.656
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 6 0.3193 0.6825 0.052 0.124 0.000 0.000 0.000 0.824
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 1 0.2996 0.3973 0.772 0.228 0.000 0.000 0.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 5 0.0000 0.9295 0.000 0.000 0.000 0.000 1.000 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 1 0.7097 -0.0921 0.412 0.200 0.000 0.096 0.292 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.1245 0.8635 0.000 0.016 0.952 0.000 0.000 0.032
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 5 0.2568 0.9161 0.000 0.068 0.000 0.056 0.876 0.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 5 0.2568 0.9161 0.000 0.068 0.000 0.056 0.876 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0260 0.8771 0.000 0.008 0.992 0.000 0.000 0.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.3351 0.5991 0.800 0.040 0.000 0.000 0.000 0.160
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.5383 0.7421 0.184 0.584 0.000 0.000 0.000 0.232
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.5091 0.7742 0.172 0.632 0.000 0.000 0.000 0.196
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 5 0.2568 0.9161 0.000 0.068 0.000 0.056 0.876 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0000 0.8779 0.000 0.000 1.000 0.000 0.000 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.0363 0.8663 0.000 0.012 0.000 0.988 0.000 0.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 1 0.7347 -0.3421 0.336 0.324 0.020 0.052 0.000 0.268
#> EB5CF362-6974-4137-AC92-2051B1594E13 4 0.1327 0.8667 0.000 0.064 0.000 0.936 0.000 0.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.1444 0.8612 0.000 0.072 0.000 0.928 0.000 0.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 5 0.0000 0.9295 0.000 0.000 0.000 0.000 1.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 4 0.0146 0.8668 0.000 0.004 0.000 0.996 0.000 0.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 4 0.0146 0.8668 0.000 0.004 0.000 0.996 0.000 0.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.5823 0.3367 0.000 0.068 0.540 0.336 0.000 0.056
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.5091 0.7753 0.172 0.632 0.000 0.000 0.000 0.196
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.1151 0.8629 0.000 0.012 0.956 0.000 0.000 0.032
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.3742 0.5032 0.000 0.004 0.648 0.348 0.000 0.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.4887 0.5232 0.612 0.088 0.000 0.000 0.000 0.300
#> 2C2589E0-2055-43AC-8001-1643839F80D4 6 0.1718 0.7097 0.020 0.020 0.024 0.000 0.000 0.936
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.4791 0.4783 0.000 0.104 0.652 0.000 0.000 0.244
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 2 0.6044 0.2382 0.372 0.376 0.000 0.000 0.000 0.252
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 6 0.3835 0.2654 0.320 0.012 0.000 0.000 0.000 0.668
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 6 0.2121 0.7062 0.000 0.096 0.012 0.000 0.000 0.892
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 4 0.0993 0.8639 0.000 0.024 0.000 0.964 0.000 0.012
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 1 0.4769 0.5549 0.644 0.092 0.000 0.000 0.000 0.264
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 1 0.2178 0.4836 0.868 0.132 0.000 0.000 0.000 0.000
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.4967 0.7811 0.172 0.664 0.000 0.004 0.000 0.160
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 5 0.2568 0.9161 0.000 0.068 0.000 0.056 0.876 0.000
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 5 0.6635 0.6682 0.172 0.024 0.112 0.056 0.612 0.024
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 4 0.1556 0.8612 0.000 0.080 0.000 0.920 0.000 0.000
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 1 0.4322 0.5420 0.600 0.028 0.000 0.000 0.000 0.372
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 1 0.3758 0.5990 0.700 0.016 0.000 0.000 0.000 0.284
#> A3AC663C-1578-4946-AED3-2FF9A739168E 4 0.1444 0.8612 0.000 0.072 0.000 0.928 0.000 0.000
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 6 0.1686 0.7151 0.000 0.064 0.012 0.000 0.000 0.924
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 5 0.0260 0.9294 0.000 0.008 0.000 0.000 0.992 0.000
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.0632 0.8729 0.000 0.024 0.976 0.000 0.000 0.000
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.5184 -0.0551 0.000 0.088 0.480 0.000 0.000 0.432
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 5 0.2442 0.9178 0.000 0.068 0.000 0.048 0.884 0.000
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.0000 0.8779 0.000 0.000 1.000 0.000 0.000 0.000
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 6 0.0717 0.7139 0.016 0.008 0.000 0.000 0.000 0.976
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 4 0.1204 0.8644 0.000 0.056 0.000 0.944 0.000 0.000
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.1528 0.8517 0.000 0.016 0.936 0.000 0.000 0.048
#> 4ED692EB-E194-49D7-9222-6232051426E5 2 0.6032 0.6236 0.076 0.608 0.000 0.168 0.000 0.148
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 1 0.1471 0.5210 0.932 0.064 0.000 0.000 0.000 0.004
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.1225 0.8654 0.000 0.036 0.952 0.012 0.000 0.000
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 1 0.4908 0.4980 0.648 0.128 0.000 0.000 0.000 0.224
#> 64B33223-EB30-49ED-A3D8-5AC598845465 6 0.2798 0.6892 0.000 0.112 0.036 0.000 0.000 0.852
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#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.8779 0.000 0.000 1.000 0.000 0.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.1444 0.8643 0.000 0.072 0.000 0.928 0.000 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.0146 0.8668 0.000 0.004 0.000 0.996 0.000 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 6 0.1257 0.7086 0.028 0.020 0.000 0.000 0.000 0.952
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.1245 0.8632 0.000 0.016 0.952 0.000 0.000 0.032
#> EFA48913-D0BD-4530-A445-C327A89CE956 6 0.6420 0.3611 0.024 0.116 0.044 0.256 0.000 0.560
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0146 0.8775 0.000 0.004 0.996 0.000 0.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.3629 0.6054 0.724 0.016 0.000 0.000 0.000 0.260
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 6 0.1643 0.6915 0.068 0.008 0.000 0.000 0.000 0.924
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.5572 0.7071 0.268 0.544 0.000 0.000 0.000 0.188
#> 2798DEF8-A841-4068-B3FC-76D57605235A 6 0.2118 0.7054 0.008 0.104 0.000 0.000 0.000 0.888
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0146 0.8774 0.000 0.004 0.996 0.000 0.000 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0260 0.8771 0.000 0.008 0.992 0.000 0.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 6 0.1168 0.7144 0.028 0.016 0.000 0.000 0.000 0.956
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 6 0.1138 0.7202 0.004 0.024 0.012 0.000 0.000 0.960
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.2003 0.4892 0.884 0.116 0.000 0.000 0.000 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.5151 0.7537 0.208 0.636 0.000 0.004 0.000 0.152
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.4110 0.5440 0.608 0.016 0.000 0.000 0.000 0.376
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.5932 -0.0187 0.440 0.336 0.000 0.000 0.000 0.224
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.4666 0.5408 0.688 0.168 0.000 0.000 0.000 0.144
#> 85C38170-F2A0-4491-BFDB-38489204C015 1 0.5783 0.1093 0.528 0.260 0.000 0.208 0.000 0.004
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.2100 0.4947 0.884 0.112 0.000 0.000 0.000 0.004
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 6 0.3098 0.5631 0.164 0.024 0.000 0.000 0.000 0.812
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.5507 0.6803 0.284 0.548 0.000 0.000 0.000 0.168
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.1141 0.8677 0.000 0.052 0.000 0.948 0.000 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 6 0.1957 0.6933 0.000 0.112 0.000 0.000 0.000 0.888
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.5629 0.3426 0.540 0.224 0.000 0.000 0.000 0.236
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0458 0.8753 0.000 0.016 0.984 0.000 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.5557 0.3700 0.404 0.500 0.000 0.028 0.000 0.068
#> F4142833-0749-44A4-B769-66262AA4A484 6 0.1333 0.7028 0.048 0.008 0.000 0.000 0.000 0.944
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.1075 0.8560 0.000 0.048 0.000 0.952 0.000 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0260 0.8771 0.000 0.008 0.992 0.000 0.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 6 0.2402 0.6825 0.000 0.140 0.004 0.000 0.000 0.856
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.3855 0.6011 0.704 0.024 0.000 0.000 0.000 0.272
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0725 0.8749 0.000 0.012 0.976 0.000 0.000 0.012
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.1444 0.8612 0.000 0.072 0.000 0.928 0.000 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 6 0.1268 0.7136 0.004 0.008 0.036 0.000 0.000 0.952
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0000 0.8670 0.000 0.000 0.000 1.000 0.000 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.2003 0.4892 0.884 0.116 0.000 0.000 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.1444 0.8612 0.000 0.072 0.000 0.928 0.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.6553 0.6010 0.180 0.024 0.592 0.100 0.000 0.104
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.0260 0.8668 0.000 0.008 0.000 0.992 0.000 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.3991 0.7247 0.156 0.088 0.000 0.756 0.000 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 5 0.1327 0.9228 0.000 0.064 0.000 0.000 0.936 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0508 0.8747 0.000 0.004 0.984 0.000 0.000 0.012
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.0000 0.8779 0.000 0.000 1.000 0.000 0.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.4694 0.4969 0.572 0.052 0.000 0.000 0.000 0.376
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.4263 0.5402 0.600 0.024 0.000 0.000 0.000 0.376
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 6 0.3898 0.6573 0.024 0.156 0.020 0.012 0.000 0.788
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.6357 0.3591 0.600 0.156 0.004 0.144 0.004 0.092
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.4774 0.3284 0.000 0.068 0.600 0.000 0.000 0.332
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 5 0.2711 0.9145 0.004 0.068 0.000 0.056 0.872 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.2212 0.8496 0.008 0.112 0.000 0.880 0.000 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.3053 0.6033 0.812 0.020 0.000 0.000 0.000 0.168
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.8779 0.000 0.000 1.000 0.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 6 0.4123 -0.1325 0.420 0.012 0.000 0.000 0.000 0.568
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 17395 rows and 473 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 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 0.373 0.684 0.779 0.4022 0.504 0.504
#> 3 3 0.494 0.700 0.853 0.5075 0.681 0.486
#> 4 4 0.825 0.864 0.932 0.1843 0.739 0.458
#> 5 5 0.702 0.706 0.858 0.0919 0.855 0.550
#> 6 6 0.794 0.774 0.886 0.0553 0.893 0.568
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
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.9710 0.7214 0.600 0.400
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.2948 0.8347 0.052 0.948
#> 3BBC7540-136B-47C8-9C09-CD423685B742 1 1.0000 0.6058 0.504 0.496
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.5144 1.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.4690 0.7928 0.100 0.900
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.0672 0.8597 0.008 0.992
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.3114 0.8320 0.056 0.944
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.6048 0.7450 0.148 0.852
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.9833 -0.3491 0.424 0.576
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.0000 0.8601 0.000 1.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.4690 0.4589 0.900 0.100
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.5059 0.7780 0.112 0.888
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.0000 0.8601 0.000 1.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.1843 0.8554 0.028 0.972
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.9710 0.7214 0.600 0.400
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.9710 0.7214 0.600 0.400
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.1184 0.8548 0.016 0.984
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.1843 0.8554 0.028 0.972
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.9944 0.6772 0.544 0.456
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.9710 0.7214 0.600 0.400
#> E8385A24-9459-4D47-9147-3A628D1A213D 1 0.9977 0.6591 0.528 0.472
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.0000 0.8601 0.000 1.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.4815 0.7880 0.104 0.896
#> 7194CC84-3897-4418-9695-66CC12CFE900 2 0.1843 0.8554 0.028 0.972
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.9710 0.7214 0.600 0.400
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.2236 0.5300 0.964 0.036
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.8555 0.3440 0.280 0.720
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.4690 0.7928 0.100 0.900
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.9710 0.7214 0.600 0.400
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.4690 0.7928 0.100 0.900
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 1 0.9983 0.6513 0.524 0.476
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.1843 0.8554 0.028 0.972
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.1843 0.8554 0.028 0.972
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.9710 0.7214 0.600 0.400
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.2948 0.4897 0.948 0.052
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.9710 0.7214 0.600 0.400
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.8443 0.4961 0.272 0.728
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 1 0.9977 0.6591 0.528 0.472
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.1843 0.8554 0.028 0.972
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.1843 0.8554 0.028 0.972
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.4298 0.8061 0.088 0.912
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.4815 0.4552 0.896 0.104
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.9710 0.7214 0.600 0.400
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.3584 0.8278 0.068 0.932
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.9710 0.7214 0.600 0.400
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.4690 0.4589 0.900 0.100
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 1 0.9963 0.6686 0.536 0.464
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.9977 0.6591 0.528 0.472
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 1 0.9977 0.6591 0.528 0.472
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.9970 0.6639 0.532 0.468
#> F8FF0B4E-0868-417C-9118-F484437E57DA 1 0.9977 0.6591 0.528 0.472
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.1843 0.8554 0.028 0.972
#> FE2C169A-E41F-45EB-B61E-776493069D78 2 0.1414 0.8530 0.020 0.980
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.2603 0.8373 0.044 0.956
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.1843 0.8554 0.028 0.972
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.4690 0.4589 0.900 0.100
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.9710 0.7214 0.600 0.400
#> D58CE99E-A954-4555-AA01-6582C049B7ED 1 0.9977 0.6591 0.528 0.472
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.4690 0.7928 0.100 0.900
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 2 0.1843 0.8554 0.028 0.972
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 2 0.0376 0.8600 0.004 0.996
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 1 0.9754 0.7170 0.592 0.408
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.4690 0.4589 0.900 0.100
#> B40B9470-990D-4443-8484-17266E829557 1 0.2603 0.4940 0.956 0.044
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#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.9710 0.7214 0.600 0.400
#> 85C38170-F2A0-4491-BFDB-38489204C015 1 0.9909 0.6892 0.556 0.444
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.2043 0.5282 0.968 0.032
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.7453 0.5690 0.212 0.788
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.9710 0.7214 0.600 0.400
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 1 0.9977 0.6591 0.528 0.472
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.4431 0.8020 0.092 0.908
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.9710 0.7214 0.600 0.400
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.1843 0.8554 0.028 0.972
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.9710 0.7214 0.600 0.400
#> F4142833-0749-44A4-B769-66262AA4A484 2 0.1843 0.8554 0.028 0.972
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 1 0.9977 0.6591 0.528 0.472
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.1843 0.8554 0.028 0.972
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.4690 0.7928 0.100 0.900
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.9710 0.7214 0.600 0.400
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.0376 0.8600 0.004 0.996
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 1 0.9977 0.6591 0.528 0.472
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.2778 0.8422 0.048 0.952
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.8608 0.3300 0.284 0.716
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.1843 0.5263 0.972 0.028
#> F17C0E73-4C34-4F82-8562-56985A59316C 1 0.9977 0.6591 0.528 0.472
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.6801 0.6369 0.180 0.820
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 1 0.9795 0.7119 0.584 0.416
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.4690 0.7913 0.100 0.900
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.4690 0.4589 0.900 0.100
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.1414 0.8576 0.020 0.980
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 2 0.1843 0.8554 0.028 0.972
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.9963 0.6686 0.536 0.464
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.9710 0.7214 0.600 0.400
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.4690 0.7928 0.100 0.900
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.9710 0.7214 0.600 0.400
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.0000 0.8601 0.000 1.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.2948 0.4897 0.948 0.052
#> 44A16F74-F823-4B27-AC3B-52526426199B 1 0.9977 0.6591 0.528 0.472
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.9710 0.7214 0.600 0.400
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.1843 0.8554 0.028 0.972
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.9710 0.7214 0.600 0.400
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.4555 0.73356 0.000 0.800 0.200
#> 27496AAB-AC06-4100-BB41-0029F63CC678 3 0.8759 0.04317 0.120 0.360 0.520
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0237 0.79600 0.000 0.996 0.004
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0892 0.87073 0.980 0.020 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.4452 0.63059 0.000 0.808 0.192
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.4291 0.75342 0.000 0.180 0.820
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.4683 0.67695 0.024 0.836 0.140
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.9901 0.17837 0.328 0.396 0.276
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.5578 0.70283 0.012 0.748 0.240
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.3816 0.77580 0.000 0.148 0.852
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.88502 1.000 0.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.1337 0.79252 0.012 0.972 0.016
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.0424 0.83867 0.000 0.008 0.992
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0892 0.84763 0.000 0.020 0.980
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.9584 0.22178 0.372 0.428 0.200
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.9584 0.22178 0.372 0.428 0.200
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.0592 0.84678 0.000 0.012 0.988
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 3 0.0000 0.84301 0.000 0.000 1.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.1411 0.79501 0.000 0.964 0.036
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.4555 0.73356 0.000 0.800 0.200
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0892 0.79364 0.020 0.980 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.0000 0.84301 0.000 0.000 1.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0000 0.79602 0.000 1.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.4235 0.75625 0.000 0.176 0.824
#> 032E0758-7A5B-405B-88D3-74C527605780 2 0.9497 0.31069 0.332 0.468 0.200
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.7361 0.66413 0.124 0.704 0.172
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.4346 0.74315 0.000 0.816 0.184
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.1453 0.79085 0.024 0.968 0.008
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.4555 0.73356 0.000 0.800 0.200
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.1289 0.78921 0.000 0.968 0.032
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.5384 0.74018 0.024 0.788 0.188
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0747 0.84734 0.000 0.016 0.984
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0000 0.84301 0.000 0.000 1.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.4555 0.73356 0.000 0.800 0.200
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0892 0.87073 0.980 0.020 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.4555 0.73356 0.000 0.800 0.200
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.4555 0.67218 0.200 0.000 0.800
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.1453 0.79085 0.024 0.968 0.008
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.4121 0.76278 0.000 0.168 0.832
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0000 0.84301 0.000 0.000 1.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.3941 0.75049 0.000 0.156 0.844
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.0000 0.88502 1.000 0.000 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.4963 0.72945 0.008 0.792 0.200
#> 040D3276-2E61-426E-B182-AEE6C9778488 3 0.6544 0.59614 0.164 0.084 0.752
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.9579 0.23186 0.368 0.432 0.200
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.0000 0.88502 1.000 0.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.0747 0.79454 0.016 0.984 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0000 0.79602 0.000 1.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.1453 0.79085 0.024 0.968 0.008
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.4555 0.73356 0.000 0.800 0.200
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.1267 0.79183 0.024 0.972 0.004
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.4555 0.73492 0.000 0.200 0.800
#> FE2C169A-E41F-45EB-B61E-776493069D78 3 0.7069 0.44336 0.024 0.408 0.568
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.5817 0.72952 0.100 0.100 0.800
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.4452 0.74260 0.000 0.192 0.808
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0000 0.88502 1.000 0.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.1964 0.79220 0.000 0.944 0.056
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.1453 0.79085 0.024 0.968 0.008
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.5785 0.60681 0.000 0.668 0.332
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.0000 0.84301 0.000 0.000 1.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 3 0.0000 0.84301 0.000 0.000 1.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.1031 0.79252 0.024 0.976 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.0000 0.88502 1.000 0.000 0.000
#> B40B9470-990D-4443-8484-17266E829557 1 0.0000 0.88502 1.000 0.000 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.5407 0.69912 0.804 0.040 0.156
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 3 0.0000 0.84301 0.000 0.000 1.000
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 3 0.0424 0.84574 0.000 0.008 0.992
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.1289 0.79684 0.000 0.968 0.032
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.0000 0.79602 0.000 1.000 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 3 0.8663 0.10940 0.364 0.112 0.524
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 2 0.9496 0.37364 0.276 0.492 0.232
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.4483 0.76280 0.024 0.848 0.128
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 1 0.0000 0.88502 1.000 0.000 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.5926 0.47985 0.356 0.644 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.3267 0.79937 0.000 0.116 0.884
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.0000 0.88502 1.000 0.000 0.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.0892 0.87073 0.980 0.020 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0892 0.84763 0.000 0.020 0.980
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 2 0.9579 0.23186 0.368 0.432 0.200
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.0747 0.79702 0.000 0.984 0.016
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.0892 0.79573 0.000 0.980 0.020
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 1 0.0000 0.88502 1.000 0.000 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0892 0.84763 0.000 0.020 0.980
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 2 0.1453 0.79085 0.024 0.968 0.008
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 2 0.1453 0.79085 0.024 0.968 0.008
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.1453 0.79085 0.024 0.968 0.008
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 2 0.1453 0.79085 0.024 0.968 0.008
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0000 0.88502 1.000 0.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.1453 0.79085 0.024 0.968 0.008
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.1453 0.79085 0.024 0.968 0.008
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.4555 0.73492 0.000 0.200 0.800
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.0000 0.79602 0.000 1.000 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.0000 0.84301 0.000 0.000 1.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.5706 0.63296 0.000 0.320 0.680
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 2 0.8568 0.54691 0.192 0.608 0.200
#> 2C2589E0-2055-43AC-8001-1643839F80D4 3 0.0424 0.83867 0.000 0.008 0.992
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.4452 0.74112 0.000 0.192 0.808
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 2 0.0000 0.79602 0.000 1.000 0.000
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 2 0.9532 0.32607 0.316 0.472 0.212
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 3 0.0592 0.84667 0.000 0.012 0.988
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 2 0.1919 0.78599 0.024 0.956 0.020
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.2537 0.78689 0.000 0.920 0.080
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 1 0.7969 -0.02967 0.508 0.432 0.060
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.0237 0.79614 0.000 0.996 0.004
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 1 0.0000 0.88502 1.000 0.000 0.000
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 1 0.6294 0.53935 0.692 0.020 0.288
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 2 0.1453 0.79085 0.024 0.968 0.008
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 2 0.3551 0.76846 0.000 0.868 0.132
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 2 0.9579 0.23186 0.368 0.432 0.200
#> A3AC663C-1578-4946-AED3-2FF9A739168E 2 0.1453 0.79085 0.024 0.968 0.008
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 3 0.5291 0.54994 0.000 0.268 0.732
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 1 0.6140 0.15612 0.596 0.000 0.404
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.0000 0.84301 0.000 0.000 1.000
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.0747 0.84739 0.000 0.016 0.984
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 1 0.0000 0.88502 1.000 0.000 0.000
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.0892 0.84763 0.000 0.020 0.980
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 2 0.9813 0.25508 0.304 0.428 0.268
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 2 0.1453 0.79085 0.024 0.968 0.008
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.0000 0.84301 0.000 0.000 1.000
#> 4ED692EB-E194-49D7-9222-6232051426E5 2 0.1315 0.79209 0.020 0.972 0.008
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 2 0.9579 0.23186 0.368 0.432 0.200
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.0892 0.84763 0.000 0.020 0.980
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 2 0.4555 0.73356 0.000 0.800 0.200
#> 64B33223-EB30-49ED-A3D8-5AC598845465 3 0.4555 0.73492 0.000 0.200 0.800
#> 21599029-B6C9-4385-B87C-FDB99F956118 3 0.4555 0.73492 0.000 0.200 0.800
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 2 0.1453 0.79085 0.024 0.968 0.008
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 3 0.4452 0.74235 0.000 0.192 0.808
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 2 0.4811 0.72630 0.148 0.828 0.024
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 1 0.0000 0.88502 1.000 0.000 0.000
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 2 0.0000 0.79602 0.000 1.000 0.000
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 2 0.2959 0.78078 0.000 0.900 0.100
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 2 0.2448 0.79252 0.000 0.924 0.076
#> 8902E88F-181A-46FE-9C80-F11C107B33E4 2 0.3482 0.77771 0.000 0.872 0.128
#> 24F2D373-AE15-47B0-8F1B-740426145C2C 2 0.3267 0.77497 0.000 0.884 0.116
#> A154A921-EB14-48DF-BF70-AE765CCE5CAB 1 0.0000 0.88502 1.000 0.000 0.000
#> D508AD79-2273-4E78-A6EE-97FBAAC7E851 2 0.0747 0.79546 0.000 0.984 0.016
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#> 92ABF549-0786-47D2-8355-5C16C090304A 2 0.4555 0.73356 0.000 0.800 0.200
#> 709EEE82-EC92-4FD6-81DE-8AAB11EDFC7C 2 0.1129 0.79303 0.020 0.976 0.004
#> E9BAF502-4144-4D13-8ED9-81F808A6B966 3 0.1860 0.83568 0.000 0.052 0.948
#> B19F8551-14F9-42F3-A2FD-BF748F222393 3 0.1411 0.82691 0.000 0.036 0.964
#> 1BCAB024-A978-4CC8-A411-FAC284F2018E 2 0.0747 0.79454 0.016 0.984 0.000
#> 75D212E1-0BF3-4282-826D-32EF7B2AC070 2 0.5891 0.71184 0.036 0.764 0.200
#> E7F262C2-69DE-4555-86B9-2151C7CF8A17 2 0.1453 0.79085 0.024 0.968 0.008
#> 10EC58F7-A6DC-4427-8FDE-D0AF12800DD6 3 0.1411 0.84272 0.000 0.036 0.964
#> 46D4C579-DE69-44A5-92B4-13329069FF45 2 0.1453 0.79085 0.024 0.968 0.008
#> 5FF6911C-D63C-4A6E-8E51-B116870FBE8C 3 0.7329 0.09523 0.424 0.032 0.544
#> 3BED1BB9-EC6D-4B6B-9B4B-268067DA1C21 2 0.0000 0.79602 0.000 1.000 0.000
#> C405814A-66E1-45E3-957D-0F32CFE30BFA 3 0.5591 0.63020 0.000 0.304 0.696
#> 799673ED-C935-4CE9-B8F3-14EE41C25BA1 1 0.1525 0.86036 0.964 0.032 0.004
#> 2A37A64F-C93B-42B6-95D5-744EEFD07FD1 1 0.0000 0.88502 1.000 0.000 0.000
#> FA84E86B-3DB8-4A3F-817A-140DE7568611 1 0.0000 0.88502 1.000 0.000 0.000
#> D22F5C7C-3BAF-496A-8D3A-FB4D5F853E90 2 0.6857 0.49889 0.252 0.696 0.052
#> 3F76F946-07A9-4C0B-BA36-9524068D785B 3 0.0892 0.84763 0.000 0.020 0.980
#> 3977EBDA-AD30-4AA0-AC75-E33086DC533D 2 0.1163 0.79739 0.000 0.972 0.028
#> 8D361255-E352-4248-9FDF-0A6602CB419D 2 0.4291 0.74427 0.000 0.820 0.180
#> 18AE7FAE-0B1E-4F52-BEC6-6158E61EB679 1 0.0000 0.88502 1.000 0.000 0.000
#> 5F005483-D289-4A3E-BD1E-0A4B3C655951 2 0.1529 0.78546 0.000 0.960 0.040
#> D3803F45-EB0C-4FAD-8C7B-F3755FBF496D 3 0.0892 0.84763 0.000 0.020 0.980
#> DF8D09B4-1F48-4D86-A379-1BB16E114CBE 2 0.3619 0.76636 0.000 0.864 0.136
#> 2A6CB7AD-79C2-4D43-8D97-61A4A6A79D3B 2 0.4555 0.73356 0.000 0.800 0.200
#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 3 0.1289 0.84426 0.000 0.032 0.968
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 2 0.9331 0.30671 0.344 0.480 0.176
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 2 0.4555 0.73356 0.000 0.800 0.200
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 2 0.1453 0.79085 0.024 0.968 0.008
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 2 0.2680 0.76304 0.068 0.924 0.008
#> 16D23472-C0CB-49F9-9139-77920C50235F 2 0.0848 0.79492 0.008 0.984 0.008
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 3 0.1031 0.84680 0.000 0.024 0.976
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.0000 0.88502 1.000 0.000 0.000
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 2 0.0000 0.79602 0.000 1.000 0.000
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 2 0.9584 0.22178 0.372 0.428 0.200
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 2 0.0424 0.79613 0.000 0.992 0.008
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 2 0.1919 0.78599 0.024 0.956 0.020
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 2 0.0983 0.79408 0.016 0.980 0.004
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 2 0.1163 0.79742 0.000 0.972 0.028
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 2 0.1453 0.79085 0.024 0.968 0.008
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 1 0.0000 0.88502 1.000 0.000 0.000
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 2 0.9456 0.33581 0.320 0.480 0.200
#> D14A535D-5C31-4D78-8F92-3B50922211A2 3 0.0000 0.84301 0.000 0.000 1.000
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.0000 0.79602 0.000 1.000 0.000
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 3 0.3816 0.73882 0.000 0.148 0.852
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 3 0.4555 0.73492 0.000 0.200 0.800
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 3 0.0424 0.83867 0.000 0.008 0.992
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.4555 0.73356 0.000 0.800 0.200
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 3 0.4555 0.73492 0.000 0.200 0.800
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 1 0.0000 0.88502 1.000 0.000 0.000
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.9550 0.26882 0.352 0.448 0.200
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 1 0.2651 0.83598 0.928 0.060 0.012
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.4784 0.73155 0.004 0.796 0.200
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 3 0.7065 0.28739 0.352 0.032 0.616
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.0424 0.79569 0.000 0.992 0.008
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.0424 0.83867 0.000 0.008 0.992
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.0000 0.88502 1.000 0.000 0.000
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.0747 0.79454 0.016 0.984 0.000
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 3 0.0237 0.84450 0.000 0.004 0.996
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.2537 0.77222 0.080 0.920 0.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.4555 0.73356 0.000 0.800 0.200
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.1453 0.79085 0.024 0.968 0.008
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.6126 0.49672 0.000 0.600 0.400
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.5778 0.64346 0.768 0.032 0.200
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.4555 0.73356 0.000 0.800 0.200
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 2 0.6280 -0.13015 0.000 0.540 0.460
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.9584 0.22178 0.372 0.428 0.200
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.1453 0.79085 0.024 0.968 0.008
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.0424 0.79569 0.000 0.992 0.008
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.4555 0.73356 0.000 0.800 0.200
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 1 0.3425 0.78220 0.884 0.004 0.112
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.9606 0.22421 0.368 0.428 0.204
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0892 0.84763 0.000 0.020 0.980
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.4121 0.76267 0.000 0.168 0.832
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.5269 0.72485 0.016 0.784 0.200
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.4784 0.73155 0.004 0.796 0.200
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.5122 0.72767 0.012 0.788 0.200
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 3 0.0424 0.83867 0.000 0.008 0.992
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0892 0.84763 0.000 0.020 0.980
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 3 0.4755 0.65184 0.184 0.008 0.808
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.1453 0.79085 0.024 0.968 0.008
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.0000 0.79602 0.000 1.000 0.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 3 0.9510 -0.00831 0.348 0.196 0.456
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.0892 0.79364 0.020 0.980 0.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.6305 0.09147 0.484 0.516 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 2 0.9601 0.16734 0.392 0.408 0.200
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.5062 0.69558 0.184 0.800 0.016
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.1453 0.79085 0.024 0.968 0.008
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.0237 0.79637 0.000 0.996 0.004
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.9566 0.25059 0.360 0.440 0.200
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.3083 0.75949 0.024 0.916 0.060
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0747 0.84734 0.000 0.016 0.984
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.0237 0.84464 0.000 0.004 0.996
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.3686 0.76523 0.000 0.860 0.140
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0747 0.84734 0.000 0.016 0.984
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.1453 0.79085 0.024 0.968 0.008
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 1 0.3116 0.78812 0.892 0.108 0.000
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.0000 0.79602 0.000 1.000 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.1289 0.78921 0.000 0.968 0.032
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0892 0.84763 0.000 0.020 0.980
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.0000 0.84301 0.000 0.000 1.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.8650 0.53567 0.200 0.600 0.200
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.0000 0.79602 0.000 1.000 0.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0892 0.84763 0.000 0.020 0.980
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.0592 0.79667 0.000 0.988 0.012
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 3 0.1964 0.81068 0.000 0.056 0.944
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 2 0.8392 0.56723 0.176 0.624 0.200
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0892 0.84763 0.000 0.020 0.980
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.1453 0.79085 0.024 0.968 0.008
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.1453 0.79085 0.024 0.968 0.008
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.9853 0.19601 0.252 0.388 0.360
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0892 0.84763 0.000 0.020 0.980
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.1289 0.78921 0.000 0.968 0.032
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0892 0.84763 0.000 0.020 0.980
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 2 0.9584 0.22178 0.372 0.428 0.200
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 3 0.4605 0.64417 0.000 0.204 0.796
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.4235 0.74745 0.000 0.824 0.176
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.4654 0.63037 0.000 0.208 0.792
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0892 0.84763 0.000 0.020 0.980
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.4121 0.76276 0.000 0.168 0.832
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 3 0.0747 0.83447 0.000 0.016 0.984
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.2689 0.80031 0.036 0.032 0.932
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.6168 0.23822 0.588 0.412 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.1129 0.79316 0.020 0.976 0.004
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 2 0.9584 0.22178 0.372 0.428 0.200
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.4555 0.73356 0.000 0.800 0.200
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.4178 0.74982 0.000 0.828 0.172
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0000 0.79602 0.000 1.000 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.7169 0.35241 0.404 0.568 0.028
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.4974 0.71386 0.000 0.764 0.236
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.2537 0.78643 0.000 0.920 0.080
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.1453 0.79085 0.024 0.968 0.008
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.5497 0.45459 0.000 0.292 0.708
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.4555 0.73356 0.000 0.800 0.200
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0892 0.84763 0.000 0.020 0.980
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.3619 0.76664 0.000 0.864 0.136
#> F4142833-0749-44A4-B769-66262AA4A484 3 0.5763 0.49448 0.276 0.008 0.716
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.1453 0.79085 0.024 0.968 0.008
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.2878 0.81160 0.000 0.096 0.904
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.0424 0.79569 0.000 0.992 0.008
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.5778 0.71473 0.032 0.768 0.200
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.4555 0.73492 0.000 0.200 0.800
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.1315 0.79209 0.020 0.972 0.008
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 3 0.1529 0.81976 0.000 0.040 0.960
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.1453 0.79085 0.024 0.968 0.008
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.4555 0.68470 0.200 0.800 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.1453 0.79085 0.024 0.968 0.008
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.0000 0.84301 0.000 0.000 1.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.0892 0.79364 0.020 0.980 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.2550 0.77422 0.024 0.936 0.040
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.0000 0.88502 1.000 0.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.4291 0.75312 0.000 0.180 0.820
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.0000 0.84301 0.000 0.000 1.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.4555 0.73356 0.000 0.800 0.200
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.4555 0.73356 0.000 0.800 0.200
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.1163 0.79110 0.000 0.972 0.028
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.9579 0.23186 0.368 0.432 0.200
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.4555 0.73492 0.000 0.200 0.800
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.0000 0.88502 1.000 0.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.1315 0.79209 0.020 0.972 0.008
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.9566 0.25071 0.360 0.440 0.200
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.1163 0.84567 0.000 0.028 0.972
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.9550 0.26857 0.352 0.448 0.200
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.9214 0.000 1.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.0188 0.9216 0.000 0.996 0.004 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 4 0.0188 0.9471 0.000 0.004 0.000 0.996
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.3942 0.7009 0.236 0.764 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.3528 0.7373 0.000 0.000 0.808 0.192
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.2345 0.8435 0.000 0.000 0.900 0.100
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0336 0.9467 0.000 0.000 0.008 0.992
#> C590B811-A42F-4ED2-896A-513EFD42D62D 2 0.0707 0.9143 0.000 0.980 0.020 0.000
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#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 2 0.1302 0.9062 0.000 0.956 0.044 0.000
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 2 0.0000 0.9214 0.000 1.000 0.000 0.000
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 4 0.0188 0.9471 0.000 0.004 0.000 0.996
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 4 0.0000 0.9480 0.000 0.000 0.000 1.000
#> 16D23472-C0CB-49F9-9139-77920C50235F 4 0.2081 0.9027 0.000 0.000 0.084 0.916
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 3 0.1256 0.8879 0.000 0.028 0.964 0.008
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.0000 0.9798 1.000 0.000 0.000 0.000
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 4 0.0469 0.9435 0.000 0.012 0.000 0.988
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 2 0.0188 0.9216 0.000 0.996 0.004 0.000
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 4 0.1022 0.9377 0.000 0.000 0.032 0.968
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 4 0.0000 0.9480 0.000 0.000 0.000 1.000
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 4 0.0707 0.9430 0.000 0.000 0.020 0.980
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 4 0.3726 0.6997 0.000 0.212 0.000 0.788
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 4 0.0188 0.9471 0.000 0.004 0.000 0.996
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 1 0.0000 0.9798 1.000 0.000 0.000 0.000
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 2 0.0188 0.9216 0.000 0.996 0.004 0.000
#> D14A535D-5C31-4D78-8F92-3B50922211A2 3 0.2281 0.8563 0.000 0.096 0.904 0.000
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 4 0.3123 0.7828 0.000 0.156 0.000 0.844
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.4978 0.3363 0.000 0.612 0.384 0.004
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 3 0.2469 0.8394 0.000 0.000 0.892 0.108
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 2 0.2760 0.8104 0.000 0.872 0.128 0.000
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.0000 0.9214 0.000 1.000 0.000 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 4 0.2814 0.8302 0.000 0.000 0.132 0.868
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 1 0.0000 0.9798 1.000 0.000 0.000 0.000
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.0000 0.9214 0.000 1.000 0.000 0.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.1209 0.9087 0.032 0.964 0.004 0.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.0000 0.9214 0.000 1.000 0.000 0.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 2 0.1716 0.8885 0.000 0.936 0.064 0.000
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 4 0.0188 0.9471 0.000 0.004 0.000 0.996
#> 212CB113-E765-4146-AC8A-B34044E2A849 2 0.4985 -0.0266 0.000 0.532 0.468 0.000
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.0000 0.9798 1.000 0.000 0.000 0.000
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 4 0.0188 0.9471 0.000 0.004 0.000 0.996
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 3 0.1635 0.8841 0.000 0.044 0.948 0.008
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 4 0.1743 0.9131 0.056 0.004 0.000 0.940
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.0000 0.9214 0.000 1.000 0.000 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 4 0.0000 0.9480 0.000 0.000 0.000 1.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.1118 0.9025 0.000 0.964 0.036 0.000
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 2 0.0188 0.9216 0.000 0.996 0.004 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.0000 0.9214 0.000 1.000 0.000 0.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 4 0.3172 0.8136 0.000 0.000 0.160 0.840
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.0188 0.9216 0.000 0.996 0.004 0.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.0000 0.9480 0.000 0.000 0.000 1.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 4 0.1716 0.9189 0.000 0.000 0.064 0.936
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.1716 0.8971 0.000 0.936 0.064 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 1 0.2530 0.8610 0.888 0.112 0.000 0.000
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.0188 0.9216 0.000 0.996 0.004 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0592 0.8828 0.000 0.016 0.984 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.1022 0.8666 0.000 0.000 0.968 0.032
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.0188 0.9216 0.000 0.996 0.004 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.0188 0.9216 0.000 0.996 0.004 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.0188 0.9216 0.000 0.996 0.004 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 3 0.4643 0.5705 0.000 0.344 0.656 0.000
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.1256 0.8879 0.000 0.028 0.964 0.008
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 2 0.4543 0.4960 0.000 0.676 0.324 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.0000 0.9480 0.000 0.000 0.000 1.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 4 0.2281 0.8922 0.000 0.000 0.096 0.904
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 2 0.0188 0.9216 0.000 0.996 0.004 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 4 0.0000 0.9480 0.000 0.000 0.000 1.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.4855 0.3694 0.400 0.600 0.000 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 2 0.0188 0.9216 0.000 0.996 0.004 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.1042 0.9108 0.020 0.972 0.000 0.008
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.0000 0.9480 0.000 0.000 0.000 1.000
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 4 0.0000 0.9480 0.000 0.000 0.000 1.000
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.0188 0.9216 0.000 0.996 0.004 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.0000 0.9480 0.000 0.000 0.000 1.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.1256 0.8879 0.000 0.028 0.964 0.008
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.1022 0.8865 0.000 0.032 0.968 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.2466 0.8705 0.000 0.900 0.096 0.004
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.2385 0.8774 0.000 0.052 0.920 0.028
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.0000 0.9480 0.000 0.000 0.000 1.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 1 0.2530 0.8683 0.888 0.000 0.000 0.112
#> D7791F51-5151-4E21-802F-F61EE07D626F 4 0.1211 0.9338 0.000 0.000 0.040 0.960
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 4 0.1211 0.9338 0.000 0.000 0.040 0.960
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.1256 0.8879 0.000 0.028 0.964 0.008
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.2530 0.8382 0.000 0.100 0.896 0.004
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.0000 0.9214 0.000 1.000 0.000 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 4 0.1452 0.9348 0.000 0.008 0.036 0.956
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.1256 0.8879 0.000 0.028 0.964 0.008
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.5092 0.7389 0.000 0.764 0.096 0.140
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.0817 0.9139 0.000 0.976 0.024 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 2 0.0000 0.9214 0.000 1.000 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.1256 0.8879 0.000 0.028 0.964 0.008
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.0000 0.9480 0.000 0.000 0.000 1.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.0188 0.9471 0.000 0.004 0.000 0.996
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.0188 0.9216 0.000 0.996 0.004 0.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.1256 0.8879 0.000 0.028 0.964 0.008
#> EFA48913-D0BD-4530-A445-C327A89CE956 4 0.0336 0.9469 0.000 0.000 0.008 0.992
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.1256 0.8879 0.000 0.028 0.964 0.008
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 2 0.0188 0.9216 0.000 0.996 0.004 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.0188 0.9216 0.000 0.996 0.004 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.1022 0.9093 0.000 0.968 0.000 0.032
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.4961 0.0571 0.000 0.552 0.448 0.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.1256 0.8879 0.000 0.028 0.964 0.008
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0336 0.8747 0.000 0.000 0.992 0.008
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.3837 0.6681 0.000 0.776 0.224 0.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.0188 0.9216 0.000 0.996 0.004 0.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.3610 0.7489 0.200 0.800 0.000 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.0000 0.9480 0.000 0.000 0.000 1.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 2 0.0000 0.9214 0.000 1.000 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0000 0.9214 0.000 1.000 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0469 0.9202 0.000 0.988 0.012 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 4 0.1474 0.9275 0.000 0.000 0.052 0.948
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.1792 0.8838 0.068 0.932 0.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.0707 0.9163 0.000 0.980 0.020 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.3219 0.7941 0.000 0.836 0.000 0.164
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.1022 0.9378 0.000 0.000 0.032 0.968
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.0336 0.9207 0.000 0.992 0.008 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0592 0.9156 0.000 0.984 0.000 0.016
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.1256 0.8879 0.000 0.028 0.964 0.008
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.4164 0.6485 0.000 0.736 0.000 0.264
#> F4142833-0749-44A4-B769-66262AA4A484 3 0.4331 0.6705 0.000 0.288 0.712 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.0188 0.9471 0.000 0.004 0.000 0.996
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.1388 0.8818 0.000 0.012 0.960 0.028
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.5126 0.1893 0.000 0.004 0.552 0.444
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0000 0.9214 0.000 1.000 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.1867 0.8651 0.000 0.000 0.928 0.072
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.1118 0.9356 0.000 0.000 0.036 0.964
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.0188 0.9216 0.000 0.996 0.004 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0707 0.9430 0.000 0.000 0.020 0.980
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.4290 0.7665 0.164 0.800 0.036 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.0000 0.9480 0.000 0.000 0.000 1.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.3649 0.7738 0.000 0.204 0.796 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.0188 0.9471 0.000 0.004 0.000 0.996
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.0000 0.9480 0.000 0.000 0.000 1.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.0000 0.9798 1.000 0.000 0.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.2345 0.8435 0.000 0.000 0.900 0.100
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.1118 0.8860 0.000 0.036 0.964 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.2345 0.8719 0.000 0.900 0.100 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0921 0.9146 0.000 0.972 0.028 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 4 0.2281 0.8922 0.000 0.000 0.096 0.904
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.0188 0.9216 0.000 0.996 0.004 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.2408 0.8233 0.000 0.000 0.896 0.104
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.0000 0.9798 1.000 0.000 0.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.1118 0.9356 0.000 0.000 0.036 0.964
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.0000 0.9214 0.000 1.000 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.1256 0.8879 0.000 0.028 0.964 0.008
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.0188 0.9216 0.000 0.996 0.004 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.4297 -0.01986 0.472 0.528 0.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.3508 0.50023 0.000 0.748 0.000 0.252 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.2966 0.68407 0.816 0.000 0.000 0.000 0.184
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.3531 0.63454 0.000 0.816 0.148 0.036 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.1544 0.82070 0.000 0.000 0.932 0.068 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0703 0.85522 0.000 0.024 0.000 0.976 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.2329 0.77978 0.876 0.124 0.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.5019 0.56892 0.040 0.280 0.668 0.012 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.0000 0.98327 0.000 0.000 0.000 0.000 1.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.3728 0.60069 0.000 0.244 0.008 0.748 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.5136 0.53220 0.260 0.080 0.660 0.000 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.85722 0.000 0.000 1.000 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.6089 0.50674 0.080 0.220 0.644 0.056 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 3 0.2377 0.76836 0.128 0.000 0.872 0.000 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.3443 0.67212 0.164 0.816 0.012 0.008 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.2648 0.76197 0.848 0.152 0.000 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 4 0.3366 0.61761 0.000 0.232 0.000 0.768 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.4855 0.66891 0.112 0.168 0.720 0.000 0.000
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#> D3803F45-EB0C-4FAD-8C7B-F3755FBF496D 3 0.0000 0.85722 0.000 0.000 1.000 0.000 0.000
#> DF8D09B4-1F48-4D86-A379-1BB16E114CBE 1 0.6460 0.05149 0.412 0.180 0.000 0.408 0.000
#> 2A6CB7AD-79C2-4D43-8D97-61A4A6A79D3B 1 0.3391 0.72464 0.800 0.188 0.000 0.012 0.000
#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 3 0.0000 0.85722 0.000 0.000 1.000 0.000 0.000
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 1 0.2929 0.66501 0.820 0.180 0.000 0.000 0.000
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 1 0.4242 0.39251 0.572 0.428 0.000 0.000 0.000
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 4 0.0963 0.85269 0.000 0.036 0.000 0.964 0.000
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 4 0.0566 0.86048 0.000 0.012 0.000 0.984 0.004
#> 16D23472-C0CB-49F9-9139-77920C50235F 2 0.3003 0.63677 0.000 0.812 0.000 0.188 0.000
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 3 0.0000 0.85722 0.000 0.000 1.000 0.000 0.000
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 5 0.0000 0.98327 0.000 0.000 0.000 0.000 1.000
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 4 0.3999 0.54464 0.000 0.344 0.000 0.656 0.000
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 2 0.3424 0.61669 0.000 0.760 0.000 0.240 0.000
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 4 0.0000 0.86288 0.000 0.000 0.000 1.000 0.000
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 2 0.3752 0.56849 0.000 0.708 0.000 0.292 0.000
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 4 0.3659 0.61267 0.220 0.012 0.000 0.768 0.000
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 4 0.2020 0.81536 0.000 0.100 0.000 0.900 0.000
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 5 0.0000 0.98327 0.000 0.000 0.000 0.000 1.000
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> D14A535D-5C31-4D78-8F92-3B50922211A2 3 0.4547 0.58755 0.044 0.000 0.704 0.252 0.000
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.3662 0.49917 0.004 0.744 0.000 0.252 0.000
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 3 0.6495 0.15773 0.328 0.204 0.468 0.000 0.000
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 3 0.3132 0.72519 0.000 0.008 0.820 0.172 0.000
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 1 0.2471 0.74731 0.864 0.000 0.136 0.000 0.000
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 1 0.3305 0.67921 0.776 0.224 0.000 0.000 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 4 0.3177 0.68039 0.000 0.000 0.208 0.792 0.000
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 5 0.0000 0.98327 0.000 0.000 0.000 0.000 1.000
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 1 0.4101 0.50029 0.628 0.372 0.000 0.000 0.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 1 0.1195 0.81513 0.960 0.028 0.012 0.000 0.000
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 4 0.3730 0.56904 0.000 0.288 0.000 0.712 0.000
#> 212CB113-E765-4146-AC8A-B34044E2A849 1 0.4283 0.11938 0.544 0.000 0.456 0.000 0.000
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 5 0.0000 0.98327 0.000 0.000 0.000 0.000 1.000
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 4 0.2929 0.74949 0.000 0.180 0.000 0.820 0.000
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 3 0.0162 0.85566 0.004 0.000 0.996 0.000 0.000
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.4777 0.40592 0.000 0.664 0.000 0.292 0.044
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.4074 0.31174 0.364 0.636 0.000 0.000 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 4 0.0404 0.86097 0.000 0.012 0.000 0.988 0.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 1 0.4514 0.69791 0.756 0.184 0.044 0.016 0.000
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 1 0.2605 0.76505 0.852 0.148 0.000 0.000 0.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 3 0.5880 0.07343 0.000 0.100 0.484 0.416 0.000
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.0000 0.86288 0.000 0.000 0.000 1.000 0.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.3282 0.63501 0.000 0.804 0.008 0.188 0.000
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.4227 0.30034 0.420 0.580 0.000 0.000 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 1 0.4127 0.56070 0.680 0.008 0.000 0.000 0.312
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 1 0.0880 0.82554 0.968 0.032 0.000 0.000 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0000 0.85722 0.000 0.000 1.000 0.000 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 2 0.3579 0.53918 0.000 0.756 0.240 0.004 0.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 1 0.0609 0.82640 0.980 0.020 0.000 0.000 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 3 0.3857 0.56721 0.312 0.000 0.688 0.000 0.000
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0000 0.85722 0.000 0.000 1.000 0.000 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.1732 0.78277 0.920 0.000 0.080 0.000 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.0290 0.86192 0.000 0.008 0.000 0.992 0.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.1106 0.68813 0.000 0.964 0.012 0.024 0.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 4 0.4291 0.17004 0.000 0.464 0.000 0.536 0.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.6684 0.19520 0.184 0.456 0.000 0.008 0.352
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.4708 -0.00602 0.436 0.548 0.000 0.016 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.0290 0.86187 0.000 0.008 0.000 0.992 0.000
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 4 0.3491 0.61491 0.004 0.228 0.000 0.768 0.000
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.0290 0.86192 0.000 0.008 0.000 0.992 0.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0000 0.85722 0.000 0.000 1.000 0.000 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.0000 0.85722 0.000 0.000 1.000 0.000 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.2953 0.68530 0.144 0.844 0.012 0.000 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0703 0.84698 0.000 0.024 0.976 0.000 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.0000 0.86288 0.000 0.000 0.000 1.000 0.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.3366 0.67980 0.000 0.000 0.000 0.768 0.232
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.1197 0.68706 0.000 0.952 0.000 0.048 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.3093 0.65261 0.000 0.824 0.008 0.168 0.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0000 0.85722 0.000 0.000 1.000 0.000 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.3807 0.72640 0.028 0.176 0.792 0.004 0.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.2929 0.73932 0.820 0.180 0.000 0.000 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.0703 0.67998 0.000 0.976 0.000 0.024 0.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0000 0.85722 0.000 0.000 1.000 0.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.3717 0.67769 0.144 0.816 0.012 0.028 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.3074 0.72647 0.804 0.196 0.000 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.85722 0.000 0.000 1.000 0.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.0290 0.86187 0.000 0.008 0.000 0.992 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.1410 0.84038 0.000 0.060 0.000 0.940 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0000 0.85722 0.000 0.000 1.000 0.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.3876 0.54572 0.000 0.684 0.000 0.316 0.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.85722 0.000 0.000 1.000 0.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.3970 0.67333 0.788 0.156 0.056 0.000 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 1 0.4977 0.48301 0.604 0.356 0.000 0.040 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.3210 0.65071 0.788 0.000 0.212 0.000 0.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0000 0.85722 0.000 0.000 1.000 0.000 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.85722 0.000 0.000 1.000 0.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 0.6501 0.36186 0.520 0.156 0.312 0.012 0.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.2574 0.76602 0.876 0.012 0.112 0.000 0.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.6638 0.20634 0.440 0.320 0.000 0.000 0.240
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.0510 0.85940 0.000 0.016 0.000 0.984 0.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.1851 0.79987 0.912 0.088 0.000 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.0451 0.83013 0.988 0.004 0.000 0.008 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0290 0.68468 0.000 0.992 0.000 0.008 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.3241 0.76056 0.832 0.144 0.000 0.000 0.024
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.4045 0.47346 0.356 0.644 0.000 0.000 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.6599 0.27860 0.272 0.464 0.000 0.264 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.2732 0.72629 0.000 0.160 0.000 0.840 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 1 0.0865 0.82278 0.972 0.004 0.024 0.000 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.4689 0.37671 0.560 0.424 0.000 0.016 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.85722 0.000 0.000 1.000 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.6401 0.27737 0.480 0.184 0.000 0.336 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0609 0.82667 0.980 0.000 0.020 0.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.2813 0.76121 0.000 0.168 0.000 0.832 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.85722 0.000 0.000 1.000 0.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.3102 0.67990 0.000 0.860 0.084 0.056 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.2773 0.75275 0.836 0.164 0.000 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.4127 0.48575 0.000 0.312 0.680 0.008 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.3508 0.60159 0.000 0.252 0.000 0.748 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0703 0.85459 0.000 0.024 0.000 0.976 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.2291 0.69614 0.056 0.908 0.000 0.000 0.036
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.1341 0.83718 0.000 0.056 0.000 0.944 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.4182 0.36393 0.400 0.000 0.600 0.000 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.2929 0.74949 0.000 0.180 0.000 0.820 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.0000 0.86288 0.000 0.000 0.000 1.000 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 5 0.0000 0.98327 0.000 0.000 0.000 0.000 1.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.2424 0.77419 0.000 0.000 0.868 0.132 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.0000 0.85722 0.000 0.000 1.000 0.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.4276 0.32795 0.616 0.380 0.004 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.3561 0.58971 0.740 0.260 0.000 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.3203 0.64749 0.000 0.820 0.012 0.168 0.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0162 0.83222 0.996 0.000 0.000 0.004 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.3280 0.72774 0.000 0.176 0.812 0.012 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 5 0.0000 0.98327 0.000 0.000 0.000 0.000 1.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.2852 0.65116 0.000 0.828 0.000 0.172 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0000 0.83327 1.000 0.000 0.000 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.85722 0.000 0.000 1.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.0000 0.83327 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
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.5937 0.19612 0.224 0.436 0.000 0.000 0.000 0.340
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.0000 0.87796 1.000 0.000 0.000 0.000 0.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.1765 0.80889 0.000 0.904 0.000 0.000 0.000 0.096
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.2135 0.78059 0.872 0.000 0.000 0.000 0.128 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 6 0.0363 0.83148 0.000 0.000 0.012 0.000 0.000 0.988
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.1075 0.86409 0.000 0.000 0.952 0.048 0.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0632 0.87623 0.000 0.000 0.000 0.976 0.000 0.024
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.3923 0.17768 0.580 0.416 0.004 0.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.0363 0.87668 0.988 0.000 0.000 0.000 0.000 0.012
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.3727 0.40441 0.000 0.000 0.612 0.000 0.000 0.388
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#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0146 0.87683 0.996 0.004 0.000 0.000 0.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.3998 -0.05985 0.000 0.504 0.000 0.492 0.000 0.004
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.89083 0.000 0.000 1.000 0.000 0.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 6 0.1152 0.82667 0.000 0.044 0.004 0.000 0.000 0.952
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.2416 0.78075 0.156 0.844 0.000 0.000 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.1812 0.84147 0.000 0.080 0.912 0.000 0.000 0.008
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.2340 0.79421 0.000 0.000 0.000 0.852 0.000 0.148
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.1663 0.83268 0.912 0.000 0.000 0.000 0.000 0.088
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0291 0.87767 0.000 0.004 0.000 0.992 0.000 0.004
#> 69B229BC-0964-48FC-9FBC-B9303C027981 6 0.2384 0.81181 0.000 0.084 0.000 0.000 0.032 0.884
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.2092 0.80900 0.000 0.000 0.000 0.876 0.000 0.124
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 1 0.3136 0.67209 0.768 0.000 0.228 0.000 0.000 0.004
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.2558 0.74668 0.000 0.840 0.000 0.156 0.000 0.004
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.0146 0.87711 0.000 0.000 0.000 0.996 0.000 0.004
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 5 0.0000 0.96501 0.000 0.000 0.000 0.000 1.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 4 0.2135 0.80165 0.000 0.000 0.128 0.872 0.000 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.0000 0.89083 0.000 0.000 1.000 0.000 0.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.3592 0.52534 0.656 0.000 0.000 0.000 0.000 0.344
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.3161 0.70786 0.776 0.008 0.000 0.000 0.000 0.216
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 6 0.0790 0.82579 0.000 0.000 0.000 0.032 0.000 0.968
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0291 0.87670 0.992 0.000 0.000 0.004 0.000 0.004
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.2793 0.73088 0.000 0.000 0.800 0.000 0.000 0.200
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 5 0.0000 0.96501 0.000 0.000 0.000 0.000 1.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 6 0.2218 0.79918 0.000 0.012 0.000 0.104 0.000 0.884
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0000 0.87796 1.000 0.000 0.000 0.000 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.89083 0.000 0.000 1.000 0.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.0260 0.87760 0.992 0.000 0.000 0.000 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["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 17395 rows and 473 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 0.114 0.407 0.711 0.3659 0.560 0.560
#> 3 3 0.147 0.521 0.697 0.5776 0.596 0.412
#> 4 4 0.252 0.475 0.639 0.1867 0.819 0.590
#> 5 5 0.344 0.456 0.597 0.0858 0.938 0.804
#> 6 6 0.398 0.401 0.558 0.0509 0.911 0.705
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
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.996 0.40279 0.536 0.464
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.973 0.25323 0.404 0.596
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.671 0.62125 0.176 0.824
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.855 0.44543 0.720 0.280
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.574 0.64241 0.136 0.864
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.204 0.60892 0.032 0.968
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.388 0.64632 0.076 0.924
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.443 0.39151 0.908 0.092
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.988 -0.00290 0.436 0.564
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.278 0.61975 0.048 0.952
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.980 0.09062 0.584 0.416
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.563 0.63854 0.132 0.868
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.689 0.61094 0.184 0.816
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.373 0.57646 0.072 0.928
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.844 0.44672 0.728 0.272
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.996 0.40137 0.536 0.464
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.680 0.61244 0.180 0.820
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.929 0.33892 0.344 0.656
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.995 -0.11057 0.460 0.540
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.994 0.41275 0.544 0.456
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.990 -0.02711 0.440 0.560
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.388 0.62474 0.076 0.924
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.983 0.03746 0.424 0.576
#> 7194CC84-3897-4418-9695-66CC12CFE900 2 0.430 0.58322 0.088 0.912
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.204 0.41137 0.968 0.032
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.998 0.38309 0.528 0.472
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.946 0.29040 0.364 0.636
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.358 0.64656 0.068 0.932
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.998 0.38309 0.528 0.472
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.662 0.61976 0.172 0.828
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.855 0.51203 0.280 0.720
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.373 0.57646 0.072 0.928
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.242 0.61437 0.040 0.960
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.998 0.37887 0.524 0.476
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.430 0.42469 0.912 0.088
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.996 0.40279 0.536 0.464
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.242 0.60213 0.040 0.960
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.388 0.64927 0.076 0.924
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.430 0.64830 0.088 0.912
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.204 0.60892 0.032 0.968
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.541 0.64236 0.124 0.876
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 2 0.987 0.14117 0.432 0.568
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 1.000 0.32597 0.508 0.492
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.971 0.14974 0.400 0.600
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.929 0.43914 0.656 0.344
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.987 0.06673 0.568 0.432
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.949 0.26953 0.368 0.632
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.998 -0.15715 0.472 0.528
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.753 0.56501 0.216 0.784
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.958 0.23295 0.380 0.620
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.921 0.35799 0.336 0.664
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.373 0.64661 0.072 0.928
#> FE2C169A-E41F-45EB-B61E-776493069D78 2 0.738 0.56054 0.208 0.792
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.224 0.63324 0.036 0.964
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.204 0.60892 0.032 0.968
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.973 0.09301 0.596 0.404
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.975 0.42961 0.592 0.408
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.871 0.45631 0.292 0.708
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.563 0.63793 0.132 0.868
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 1.000 -0.00862 0.508 0.492
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.963 0.13809 0.612 0.388
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.861 0.47149 0.284 0.716
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.921 0.40747 0.664 0.336
#> B40B9470-990D-4443-8484-17266E829557 1 0.998 0.38799 0.528 0.472
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.327 0.41568 0.940 0.060
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 2 0.653 0.60258 0.168 0.832
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.760 0.57449 0.220 0.780
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 1.000 -0.25692 0.488 0.512
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 1.000 -0.27022 0.492 0.508
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.327 0.40273 0.940 0.060
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 2 0.900 0.39865 0.316 0.684
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 1 0.997 0.39725 0.532 0.468
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.981 0.07243 0.420 0.580
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 1 0.999 0.35302 0.516 0.484
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 2 0.204 0.60892 0.032 0.968
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.844 0.44672 0.728 0.272
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.994 0.41256 0.544 0.456
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 2 0.224 0.60535 0.036 0.964
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.184 0.40996 0.972 0.028
#> 12B37C6C-03BB-4632-901E-524A46955B98 1 0.998 0.39266 0.528 0.472
#> B308794B-BB34-43C7-AC89-C5230E782F0A 1 0.999 0.35990 0.516 0.484
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 1 0.997 0.39725 0.532 0.468
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 2 0.204 0.60892 0.032 0.968
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 2 0.416 0.64554 0.084 0.916
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 2 0.932 0.41837 0.348 0.652
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.402 0.64716 0.080 0.920
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 2 0.925 0.34617 0.340 0.660
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.204 0.40661 0.968 0.032
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.373 0.64630 0.072 0.928
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.416 0.64554 0.084 0.916
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.141 0.62511 0.020 0.980
#> 77744579-17ED-499B-92FD-089789C44F8A 1 1.000 0.33157 0.508 0.492
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 2 0.224 0.61182 0.036 0.964
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 2 0.204 0.61558 0.032 0.968
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.985 0.42498 0.572 0.428
#> 2C2589E0-2055-43AC-8001-1643839F80D4 2 0.358 0.62180 0.068 0.932
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 2 0.224 0.61118 0.036 0.964
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 1 1.000 0.22394 0.504 0.496
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 2 0.998 -0.07266 0.476 0.524
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.605 0.63664 0.148 0.852
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 2 0.388 0.64214 0.076 0.924
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 1 0.995 0.40745 0.540 0.460
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#> CF634FAE-42FF-4911-A3A6-588566B11C07 1 0.932 0.44574 0.652 0.348
#> F95EAF76-5F27-4515-A2A7-479FB0A274C9 2 0.204 0.60892 0.032 0.968
#> 51262CCC-D371-4A6C-AC09-311EDB03E95E 2 0.987 0.06248 0.432 0.568
#> EBC2CF84-9B95-402D-A56A-BF96A602D73A 2 0.861 0.47457 0.284 0.716
#> FDFEA1AB-25BC-401E-ACE4-98EDCDD38BDD 1 0.985 0.42064 0.572 0.428
#> D1F3E911-0F7C-48F7-B797-D234FB6A8779 2 0.827 0.48006 0.260 0.740
#> DD3D869A-20B4-41EA-991F-79A38CC04D50 1 0.994 0.41297 0.544 0.456
#> 8E120FEB-9BED-415F-8885-6D185294E788 2 0.963 0.21686 0.388 0.612
#> C138DA45-07C9-42F8-94B8-3E78175EC2A0 2 0.615 0.62972 0.152 0.848
#> CE136B25-E9F6-4BA6-A5D1-D98508339CC4 1 0.327 0.41966 0.940 0.060
#> E242825F-AA2B-4E39-90CE-FCCA8E4E4837 1 0.998 0.38359 0.528 0.472
#> 3052340A-ADD5-4A43-A322-49589436B012 1 0.900 0.17705 0.684 0.316
#> F28F22C6-A172-4863-AE0C-6DBDB995E593 1 1.000 0.33374 0.512 0.488
#> CD65856B-D10C-49AE-A5D3-AB9A717D97E5 1 0.995 0.40745 0.540 0.460
#> B308651C-92E6-4860-AF65-FA6D9D908F7B 2 0.992 -0.07263 0.448 0.552
#> D66B3821-4F39-4FDD-8FB7-5420FF822AF9 2 0.242 0.62229 0.040 0.960
#> BB938CB4-65C7-484A-B3A9-D345289DFA68 2 0.994 -0.01600 0.456 0.544
#> 68A4643D-0822-4088-901A-6EE88E3C39E7 2 0.402 0.64665 0.080 0.920
#> 5FC3D2CA-E325-48FA-9171-DC8054CCCD26 1 0.204 0.41137 0.968 0.032
#> 92ABF549-0786-47D2-8355-5C16C090304A 2 1.000 -0.12222 0.500 0.500
#> 709EEE82-EC92-4FD6-81DE-8AAB11EDFC7C 2 0.921 0.35799 0.336 0.664
#> E9BAF502-4144-4D13-8ED9-81F808A6B966 2 0.204 0.60892 0.032 0.968
#> B19F8551-14F9-42F3-A2FD-BF748F222393 2 0.994 -0.09291 0.456 0.544
#> 1BCAB024-A978-4CC8-A411-FAC284F2018E 2 0.978 0.11490 0.412 0.588
#> 75D212E1-0BF3-4282-826D-32EF7B2AC070 1 1.000 0.34303 0.512 0.488
#> E7F262C2-69DE-4555-86B9-2151C7CF8A17 2 0.552 0.63744 0.128 0.872
#> 10EC58F7-A6DC-4427-8FDE-D0AF12800DD6 2 0.204 0.61558 0.032 0.968
#> 46D4C579-DE69-44A5-92B4-13329069FF45 2 0.876 0.44812 0.296 0.704
#> 5FF6911C-D63C-4A6E-8E51-B116870FBE8C 1 0.584 0.35181 0.860 0.140
#> 3BED1BB9-EC6D-4B6B-9B4B-268067DA1C21 2 0.574 0.63692 0.136 0.864
#> C405814A-66E1-45E3-957D-0F32CFE30BFA 2 0.373 0.64434 0.072 0.928
#> 799673ED-C935-4CE9-B8F3-14EE41C25BA1 1 0.295 0.41770 0.948 0.052
#> 2A37A64F-C93B-42B6-95D5-744EEFD07FD1 1 0.949 0.15476 0.632 0.368
#> FA84E86B-3DB8-4A3F-817A-140DE7568611 2 0.706 0.60380 0.192 0.808
#> D22F5C7C-3BAF-496A-8D3A-FB4D5F853E90 2 0.402 0.64716 0.080 0.920
#> 3F76F946-07A9-4C0B-BA36-9524068D785B 2 0.204 0.60892 0.032 0.968
#> 3977EBDA-AD30-4AA0-AC75-E33086DC533D 2 0.653 0.62161 0.168 0.832
#> 8D361255-E352-4248-9FDF-0A6602CB419D 1 0.998 0.38085 0.524 0.476
#> 18AE7FAE-0B1E-4F52-BEC6-6158E61EB679 2 0.988 -0.01115 0.436 0.564
#> 5F005483-D289-4A3E-BD1E-0A4B3C655951 2 0.714 0.55953 0.196 0.804
#> D3803F45-EB0C-4FAD-8C7B-F3755FBF496D 2 0.204 0.60892 0.032 0.968
#> DF8D09B4-1F48-4D86-A379-1BB16E114CBE 1 0.998 0.38963 0.528 0.472
#> 2A6CB7AD-79C2-4D43-8D97-61A4A6A79D3B 2 0.978 0.13289 0.412 0.588
#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 2 0.224 0.60535 0.036 0.964
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 1 0.978 0.13988 0.588 0.412
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 1 0.995 0.40745 0.540 0.460
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 2 0.416 0.64554 0.084 0.916
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 2 0.430 0.64545 0.088 0.912
#> 16D23472-C0CB-49F9-9139-77920C50235F 2 0.997 -0.16460 0.468 0.532
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 2 0.625 0.58340 0.156 0.844
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.469 0.38031 0.900 0.100
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 2 0.973 0.12987 0.404 0.596
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.295 0.39898 0.948 0.052
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 2 0.494 0.64514 0.108 0.892
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 2 0.184 0.62919 0.028 0.972
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 2 0.966 0.18581 0.392 0.608
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 2 0.966 0.19119 0.392 0.608
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 2 0.802 0.52713 0.244 0.756
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 2 0.625 0.63782 0.156 0.844
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 1 0.980 0.43535 0.584 0.416
#> D14A535D-5C31-4D78-8F92-3B50922211A2 2 0.343 0.61867 0.064 0.936
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.697 0.60751 0.188 0.812
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.644 0.62330 0.164 0.836
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 2 0.615 0.54951 0.152 0.848
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 2 0.529 0.61207 0.120 0.880
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 1 0.995 0.40745 0.540 0.460
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 2 0.343 0.64708 0.064 0.936
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 2 0.921 0.42772 0.336 0.664
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 1 0.992 0.42110 0.552 0.448
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 1 0.994 0.41256 0.544 0.456
#> B2010F2F-71D4-4637-BD7A-794E99732E03 1 0.995 0.40745 0.540 0.460
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 2 0.987 0.01031 0.432 0.568
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.943 0.29476 0.360 0.640
#> 212CB113-E765-4146-AC8A-B34044E2A849 2 0.402 0.63831 0.080 0.920
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.943 0.16770 0.640 0.360
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.975 0.10840 0.408 0.592
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.584 0.63465 0.140 0.860
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.961 0.19966 0.384 0.616
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.839 0.52378 0.268 0.732
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.430 0.64545 0.088 0.912
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.904 0.46154 0.320 0.680
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.184 0.40996 0.972 0.028
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 1 1.000 0.33593 0.508 0.492
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 2 0.850 0.48561 0.276 0.724
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.995 -0.00670 0.460 0.540
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.802 0.52713 0.244 0.756
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.595 0.64058 0.144 0.856
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.990 -0.02673 0.440 0.560
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 1 0.992 0.41721 0.552 0.448
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 1 0.992 0.41721 0.552 0.448
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 2 0.224 0.61118 0.036 0.964
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 2 0.224 0.61118 0.036 0.964
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.992 0.40280 0.552 0.448
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 1.000 -0.28718 0.496 0.504
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.981 0.06646 0.420 0.580
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.563 0.63748 0.132 0.868
#> 560C9030-5EF4-466E-9149-BFB8215A512A 2 0.204 0.60892 0.032 0.968
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.961 0.09904 0.616 0.384
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.946 0.26754 0.364 0.636
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 1 1.000 0.30136 0.500 0.500
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.482 0.38283 0.896 0.104
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.971 0.15492 0.400 0.600
#> 4877594A-03A8-4407-8F21-C133460DA44D 1 0.998 0.37567 0.524 0.476
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.430 0.38331 0.912 0.088
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.994 0.41297 0.544 0.456
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.753 0.56501 0.216 0.784
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.518 0.64492 0.116 0.884
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.995 0.40636 0.540 0.460
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.402 0.64643 0.080 0.920
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 2 0.242 0.61437 0.040 0.960
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.260 0.63528 0.044 0.956
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 1.000 0.06563 0.508 0.492
#> 62315297-B01F-4A7F-9C15-5B602099257F 2 0.204 0.60892 0.032 0.968
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.808 0.52481 0.248 0.752
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.949 0.35633 0.368 0.632
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.993 -0.08126 0.452 0.548
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.634 0.62667 0.160 0.840
#> 1707CA8B-228E-49F9-B78A-A0171E853376 2 0.204 0.60892 0.032 0.968
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 2 0.373 0.62726 0.072 0.928
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.993 0.38227 0.548 0.452
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 1 0.983 0.41456 0.576 0.424
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 2 0.224 0.60535 0.036 0.964
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.993 -0.08858 0.452 0.548
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.996 -0.14949 0.464 0.536
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.278 0.40704 0.952 0.048
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 2 0.224 0.61149 0.036 0.964
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.827 0.50776 0.260 0.740
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.730 0.58048 0.204 0.796
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.595 0.61504 0.144 0.856
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.204 0.60892 0.032 0.968
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.625 0.58340 0.156 0.844
#> E36F2243-58F5-41A0-A673-DEAFE0267426 2 0.204 0.60892 0.032 0.968
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.242 0.41001 0.960 0.040
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.767 0.57013 0.224 0.776
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 1 0.998 0.37915 0.524 0.476
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.958 0.25636 0.380 0.620
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 2 0.184 0.62130 0.028 0.972
#> E5D94733-7D43-4021-8F57-4426EF183682 2 0.224 0.60535 0.036 0.964
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.936 0.32890 0.352 0.648
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.563 0.61044 0.132 0.868
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.999 0.36421 0.520 0.480
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.917 0.40781 0.332 0.668
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.529 0.41810 0.880 0.120
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.998 0.38903 0.528 0.472
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.996 0.39351 0.536 0.464
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.983 0.03746 0.424 0.576
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.996 0.40078 0.536 0.464
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.985 0.02582 0.428 0.572
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.997 0.39725 0.532 0.468
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.876 0.44812 0.296 0.704
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.671 0.62287 0.176 0.824
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.995 0.40745 0.540 0.460
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.373 0.57646 0.072 0.928
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 1.000 0.32511 0.504 0.496
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.584 0.35181 0.860 0.140
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.895 0.42418 0.312 0.688
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.204 0.60892 0.032 0.968
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.518 0.64394 0.116 0.884
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.992 0.42110 0.552 0.448
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.327 0.62950 0.060 0.940
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.891 0.42432 0.308 0.692
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.827 0.52026 0.260 0.740
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.388 0.64672 0.076 0.924
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.996 0.40279 0.536 0.464
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.895 0.41918 0.312 0.688
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.278 0.61975 0.048 0.952
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.881 0.43983 0.300 0.700
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.402 0.64716 0.080 0.920
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.998 0.38471 0.528 0.472
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.141 0.62511 0.020 0.980
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.999 -0.01192 0.516 0.484
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.999 -0.22904 0.480 0.520
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.999 -0.22904 0.480 0.520
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.722 0.60630 0.200 0.800
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.983 0.19316 0.424 0.576
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.402 0.64836 0.080 0.920
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.999 0.36887 0.520 0.480
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.973 0.13695 0.404 0.596
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.242 0.41437 0.960 0.040
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.204 0.60892 0.032 0.968
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.993 0.03298 0.452 0.548
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.191 0.66148 0.016 0.956 0.028
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.861 0.40321 0.172 0.600 0.228
#> 3BBC7540-136B-47C8-9C09-CD423685B742 3 0.910 0.38850 0.148 0.360 0.492
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.559 0.17576 0.304 0.696 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.866 0.51446 0.128 0.312 0.560
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#> 9795E955-35B9-459C-A7BD-DC446A13CC96 2 0.957 0.29139 0.292 0.476 0.232
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.210 0.62691 0.052 0.944 0.004
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.199 0.63043 0.048 0.948 0.004
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.129 0.63621 0.032 0.968 0.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 2 0.565 0.65435 0.084 0.808 0.108
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.781 0.56145 0.108 0.656 0.236
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.714 0.64129 0.068 0.244 0.688
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.897 0.51646 0.564 0.200 0.236
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.748 0.63052 0.192 0.692 0.116
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 3 0.861 0.48985 0.116 0.336 0.548
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.762 0.60235 0.128 0.684 0.188
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.863 0.12602 0.108 0.520 0.372
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 3 0.928 0.54330 0.260 0.216 0.524
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.887 0.31146 0.152 0.552 0.296
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.634 0.61879 0.596 0.400 0.004
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.304 0.68236 0.044 0.920 0.036
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 3 0.965 0.43587 0.388 0.208 0.404
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.761 0.55605 0.144 0.688 0.168
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 3 0.995 0.27621 0.328 0.292 0.380
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 3 0.910 0.46985 0.160 0.324 0.516
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.564 0.66589 0.080 0.808 0.112
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.286 0.61477 0.084 0.912 0.004
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.286 0.61477 0.084 0.912 0.004
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.255 0.66591 0.012 0.056 0.932
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.255 0.66591 0.012 0.056 0.932
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.441 0.62893 0.104 0.860 0.036
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.534 0.68407 0.080 0.824 0.096
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.659 0.66076 0.092 0.752 0.156
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 3 0.849 0.47789 0.104 0.348 0.548
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.175 0.64099 0.012 0.028 0.960
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.769 0.46839 0.596 0.060 0.344
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.915 0.40997 0.228 0.544 0.228
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.357 0.68583 0.040 0.900 0.060
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.785 0.64341 0.588 0.344 0.068
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.851 0.52080 0.212 0.612 0.176
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.256 0.66643 0.036 0.936 0.028
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.767 0.64974 0.600 0.340 0.060
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.162 0.64924 0.024 0.964 0.012
#> E336F811-7C92-438D-9929-EA40AA2932CB 3 0.989 0.34011 0.328 0.272 0.400
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 3 0.840 0.57396 0.120 0.288 0.592
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.228 0.64267 0.052 0.940 0.008
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 3 0.921 0.55360 0.264 0.204 0.532
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.241 0.65797 0.020 0.040 0.940
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.638 0.66176 0.044 0.224 0.732
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.874 0.32135 0.268 0.576 0.156
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.171 0.64717 0.008 0.032 0.960
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 3 0.996 0.26437 0.344 0.292 0.364
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.949 0.31784 0.292 0.488 0.220
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.742 0.62842 0.172 0.700 0.128
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.923 -0.06928 0.156 0.460 0.384
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.230 0.65048 0.020 0.036 0.944
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.482 0.65955 0.064 0.088 0.848
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.459 0.61199 0.120 0.848 0.032
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.433 0.63389 0.144 0.844 0.012
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.162 0.63654 0.012 0.024 0.964
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.525 0.67277 0.076 0.828 0.096
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.459 0.67673 0.096 0.856 0.048
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.675 0.62614 0.596 0.388 0.016
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.215 0.65234 0.016 0.036 0.948
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 1.000 -0.16256 0.332 0.336 0.332
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 3 0.991 0.31893 0.308 0.292 0.400
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.826 0.56555 0.116 0.276 0.608
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.171 0.64717 0.008 0.032 0.960
#> EFA48913-D0BD-4530-A445-C327A89CE956 3 0.872 0.62191 0.188 0.220 0.592
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.175 0.64099 0.012 0.028 0.960
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.654 0.61683 0.584 0.408 0.008
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.846 0.08355 0.096 0.528 0.376
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.205 0.67284 0.020 0.952 0.028
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.976 -0.02138 0.344 0.236 0.420
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.295 0.66731 0.020 0.060 0.920
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.230 0.65174 0.020 0.036 0.944
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.696 0.62420 0.100 0.728 0.172
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.761 0.61178 0.116 0.204 0.680
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.218 0.66926 0.032 0.948 0.020
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.969 0.17402 0.248 0.456 0.296
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.749 0.48517 0.484 0.480 0.036
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.255 0.67404 0.024 0.936 0.040
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.343 0.65576 0.064 0.904 0.032
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.596 0.68015 0.096 0.792 0.112
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.118 0.65667 0.012 0.976 0.012
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.632 0.66217 0.076 0.764 0.160
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.164 0.65759 0.020 0.964 0.016
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.985 0.10648 0.316 0.416 0.268
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.945 0.26030 0.180 0.384 0.436
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.129 0.63703 0.032 0.968 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.153 0.58378 0.040 0.000 0.960
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.415 0.69073 0.044 0.876 0.080
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.816 0.65000 0.608 0.288 0.104
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.928 0.37353 0.260 0.524 0.216
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.158 0.64363 0.008 0.028 0.964
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.854 0.55906 0.128 0.292 0.580
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.220 0.62277 0.056 0.940 0.004
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.412 0.67973 0.040 0.084 0.876
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.978 0.15305 0.304 0.436 0.260
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.817 0.30352 0.088 0.576 0.336
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.920 0.55460 0.252 0.212 0.536
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.227 0.66713 0.016 0.944 0.040
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.974 0.18524 0.300 0.444 0.256
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.486 0.67638 0.044 0.116 0.840
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.996 -0.01777 0.316 0.380 0.304
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.890 0.58565 0.264 0.172 0.564
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.409 0.66140 0.052 0.880 0.068
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.311 0.66706 0.028 0.056 0.916
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.747 0.29744 0.516 0.036 0.448
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.417 0.68385 0.048 0.876 0.076
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.417 0.68385 0.048 0.876 0.076
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.962 -0.13202 0.204 0.408 0.388
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.952 0.07243 0.280 0.488 0.232
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.621 0.66524 0.036 0.228 0.736
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.417 0.68671 0.036 0.872 0.092
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.839 0.53584 0.204 0.624 0.172
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.619 0.60332 0.580 0.420 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.175 0.64099 0.012 0.028 0.960
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.755 0.56663 0.140 0.692 0.168
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.2660 0.69713 0.012 0.908 0.008 0.072
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.9131 0.28587 0.192 0.476 0.176 0.156
#> 3BBC7540-136B-47C8-9C09-CD423685B742 4 0.8932 0.38262 0.088 0.168 0.308 0.436
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.5985 0.10846 0.352 0.596 0.000 0.052
#> 82DA87CF-C067-44B3-A372-ECB056337B08 4 0.8692 0.21818 0.088 0.124 0.368 0.420
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.1833 0.66819 0.032 0.000 0.944 0.024
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.7184 0.45145 0.120 0.020 0.268 0.592
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.5427 0.67910 0.712 0.244 0.028 0.016
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.7355 0.59629 0.096 0.648 0.088 0.168
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.5202 0.64384 0.060 0.048 0.796 0.096
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.8091 0.47632 0.564 0.068 0.220 0.148
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.8652 0.35350 0.076 0.144 0.328 0.452
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 4 0.9228 0.22240 0.084 0.228 0.340 0.348
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.3398 0.60719 0.060 0.000 0.872 0.068
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.5736 0.15500 0.328 0.628 0.000 0.044
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.6334 0.67622 0.064 0.720 0.068 0.148
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 4 0.9210 0.35346 0.084 0.236 0.296 0.384
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.8496 0.13416 0.064 0.488 0.160 0.288
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.7405 0.54295 0.068 0.628 0.096 0.208
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.3256 0.69056 0.044 0.884 0.004 0.068
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.6217 0.44855 0.044 0.624 0.016 0.316
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.7178 0.59224 0.128 0.084 0.668 0.120
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.6410 0.57259 0.080 0.684 0.028 0.208
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.5298 0.64307 0.060 0.056 0.792 0.092
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.4999 0.63048 0.660 0.328 0.000 0.012
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.4007 0.70224 0.024 0.836 0.012 0.128
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.7356 0.55011 0.088 0.644 0.088 0.180
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.7113 0.44337 0.112 0.020 0.272 0.596
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.3908 0.70668 0.032 0.844 0.008 0.116
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.8565 0.50575 0.060 0.236 0.212 0.492
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.9641 -0.14972 0.136 0.348 0.240 0.276
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.3398 0.60719 0.060 0.000 0.872 0.068
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.2456 0.67453 0.040 0.008 0.924 0.028
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.4090 0.69996 0.032 0.824 0.004 0.140
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.5821 0.44828 0.536 0.432 0.000 0.032
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.3006 0.69369 0.012 0.888 0.008 0.092
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.2443 0.63834 0.060 0.000 0.916 0.024
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.7458 0.42479 0.108 0.032 0.296 0.564
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.7011 0.44899 0.032 0.112 0.640 0.216
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0657 0.66735 0.004 0.000 0.984 0.012
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 4 0.8845 0.24328 0.112 0.116 0.348 0.424
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.7712 0.14427 0.484 0.028 0.372 0.116
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.4621 0.70482 0.080 0.816 0.012 0.092
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.7590 0.56667 0.104 0.636 0.116 0.144
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.5727 0.50006 0.200 0.712 0.004 0.084
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.7898 0.41276 0.536 0.076 0.308 0.080
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.6859 0.36454 0.036 0.324 0.052 0.588
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.6002 0.61301 0.068 0.688 0.012 0.232
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.5627 0.54430 0.044 0.028 0.192 0.736
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.7721 0.46360 0.080 0.580 0.080 0.260
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.7034 0.41316 0.052 0.284 0.056 0.608
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.7134 -0.05947 0.112 0.004 0.448 0.436
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.8127 0.37603 0.172 0.052 0.232 0.544
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.7412 0.43669 0.048 0.124 0.620 0.208
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.1520 0.66658 0.020 0.000 0.956 0.024
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#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.2660 0.66844 0.012 0.024 0.916 0.048
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.2660 0.66844 0.012 0.024 0.916 0.048
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.4992 0.66559 0.104 0.788 0.008 0.100
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.6477 0.66462 0.084 0.700 0.044 0.172
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.7016 0.45540 0.048 0.592 0.052 0.308
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 3 0.9275 0.21593 0.124 0.236 0.436 0.204
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.1059 0.66194 0.016 0.000 0.972 0.012
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.5852 0.48375 0.664 0.012 0.284 0.040
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.7090 0.39926 0.032 0.308 0.076 0.584
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.3840 0.69302 0.024 0.848 0.012 0.116
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.5984 0.67805 0.684 0.248 0.048 0.020
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 4 0.7104 0.30374 0.044 0.348 0.052 0.556
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.2570 0.69695 0.028 0.916 0.004 0.052
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.5298 0.68380 0.728 0.228 0.028 0.016
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.2578 0.68165 0.036 0.912 0.000 0.052
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.5627 0.54430 0.044 0.028 0.192 0.736
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 3 0.8613 -0.01583 0.080 0.128 0.440 0.352
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.3320 0.68447 0.056 0.876 0.000 0.068
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.7011 0.45868 0.120 0.016 0.256 0.608
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.2456 0.67453 0.040 0.008 0.924 0.028
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.7485 0.43289 0.052 0.124 0.616 0.208
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.8537 0.30500 0.232 0.524 0.092 0.152
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.1174 0.66778 0.012 0.000 0.968 0.020
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.5212 0.56235 0.036 0.036 0.152 0.776
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.9064 0.24215 0.140 0.332 0.116 0.412
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.6992 0.13970 0.044 0.492 0.036 0.428
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 4 0.9112 0.43839 0.080 0.280 0.232 0.408
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.1471 0.67288 0.012 0.004 0.960 0.024
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.5460 0.64628 0.096 0.032 0.776 0.096
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.5203 0.63223 0.144 0.772 0.012 0.072
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.5122 0.65768 0.080 0.756 0.000 0.164
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0672 0.66367 0.008 0.000 0.984 0.008
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.6146 0.67142 0.088 0.736 0.052 0.124
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.5266 0.69678 0.092 0.784 0.024 0.100
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.5060 0.66300 0.696 0.284 0.008 0.012
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.1920 0.67232 0.028 0.004 0.944 0.024
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.5428 0.58465 0.028 0.072 0.128 0.772
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.6347 0.57144 0.064 0.052 0.176 0.708
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.8785 0.40401 0.148 0.180 0.520 0.152
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.1042 0.66877 0.008 0.000 0.972 0.020
#> EFA48913-D0BD-4530-A445-C327A89CE956 3 0.8661 0.14930 0.136 0.080 0.444 0.340
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0672 0.66532 0.008 0.000 0.984 0.008
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.5108 0.65207 0.672 0.308 0.000 0.020
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.9245 -0.11224 0.096 0.404 0.276 0.224
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.3279 0.70234 0.032 0.872 0.000 0.096
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.9388 0.06073 0.364 0.180 0.332 0.124
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.2828 0.67414 0.032 0.020 0.912 0.036
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.1762 0.67426 0.016 0.012 0.952 0.020
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.7527 0.49046 0.072 0.624 0.108 0.196
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.7970 0.52420 0.148 0.120 0.604 0.128
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.2861 0.70132 0.012 0.892 0.004 0.092
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.7913 0.54658 0.068 0.224 0.128 0.580
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.6299 0.46404 0.544 0.408 0.016 0.032
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.4021 0.70570 0.032 0.836 0.008 0.124
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.4226 0.69147 0.072 0.836 0.008 0.084
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.6410 0.57259 0.080 0.684 0.028 0.208
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.2485 0.69554 0.016 0.916 0.004 0.064
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.7303 0.56770 0.080 0.636 0.076 0.208
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.2485 0.69440 0.016 0.916 0.004 0.064
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.6123 0.57021 0.036 0.160 0.080 0.724
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.9730 -0.21074 0.140 0.284 0.304 0.272
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.1388 0.66860 0.028 0.960 0.000 0.012
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.3398 0.60719 0.060 0.000 0.872 0.068
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.5304 0.64848 0.036 0.740 0.016 0.208
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.6178 0.68652 0.712 0.180 0.076 0.032
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.7340 0.46063 0.048 0.284 0.080 0.588
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0657 0.66735 0.004 0.000 0.984 0.012
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.8891 -0.00456 0.088 0.156 0.428 0.328
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.2751 0.66392 0.056 0.904 0.000 0.040
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.4044 0.65197 0.028 0.032 0.852 0.088
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.6595 0.57024 0.040 0.180 0.092 0.688
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.8511 0.26333 0.116 0.500 0.288 0.096
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.7090 0.46695 0.116 0.020 0.260 0.604
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.3071 0.69352 0.012 0.884 0.008 0.096
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.6385 0.56916 0.032 0.176 0.092 0.700
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.5202 0.64384 0.060 0.048 0.796 0.096
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.6039 0.59464 0.040 0.108 0.112 0.740
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.7266 0.32066 0.116 0.012 0.344 0.528
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.5018 0.68434 0.080 0.804 0.032 0.084
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.4686 0.60770 0.068 0.000 0.788 0.144
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.6460 0.27923 0.552 0.008 0.384 0.056
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.4866 0.69815 0.044 0.808 0.036 0.112
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.4866 0.69815 0.044 0.808 0.036 0.112
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.9793 -0.27956 0.160 0.312 0.240 0.288
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.9117 0.05626 0.260 0.448 0.180 0.112
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.6596 0.45869 0.016 0.112 0.660 0.212
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.5192 0.64051 0.028 0.748 0.020 0.204
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.7034 0.25440 0.040 0.372 0.048 0.540
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.5364 0.63176 0.652 0.320 0.000 0.028
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0927 0.66304 0.016 0.000 0.976 0.008
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.8060 0.52140 0.148 0.596 0.124 0.132
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.3225 0.65666 0.048 0.872 0.000 0.028 0.052
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.9320 0.19305 0.188 0.372 0.164 0.080 0.196
#> 3BBC7540-136B-47C8-9C09-CD423685B742 4 0.8726 0.30870 0.028 0.148 0.236 0.400 0.188
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.6170 0.17948 0.492 0.384 0.000 0.004 0.120
#> 82DA87CF-C067-44B3-A372-ECB056337B08 4 0.8579 0.13061 0.028 0.112 0.304 0.380 0.176
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.2228 0.66804 0.012 0.000 0.920 0.028 0.040
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.4328 0.49170 0.016 0.000 0.116 0.792 0.076
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.3319 0.68071 0.848 0.116 0.020 0.000 0.016
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.7896 0.55373 0.112 0.572 0.080 0.124 0.112
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.5226 0.64554 0.036 0.036 0.768 0.060 0.100
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.8477 0.46530 0.480 0.044 0.164 0.140 0.172
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.8421 0.28867 0.024 0.128 0.260 0.432 0.156
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.9217 -0.12683 0.040 0.208 0.288 0.276 0.188
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.4289 0.56687 0.020 0.000 0.764 0.024 0.192
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.6178 0.10439 0.448 0.432 0.000 0.004 0.116
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.7029 0.64014 0.124 0.640 0.048 0.112 0.076
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 4 0.9268 0.23970 0.044 0.232 0.240 0.300 0.184
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.8439 0.25661 0.044 0.476 0.132 0.212 0.136
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.7572 0.55001 0.096 0.584 0.060 0.180 0.080
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.4000 0.65636 0.068 0.828 0.000 0.040 0.064
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.6347 0.42929 0.012 0.576 0.000 0.200 0.212
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.6922 0.59541 0.064 0.044 0.632 0.080 0.180
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.6451 0.56689 0.064 0.664 0.016 0.144 0.112
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.5325 0.64326 0.048 0.032 0.764 0.092 0.064
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.3430 0.64508 0.776 0.220 0.000 0.000 0.004
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.4915 0.67484 0.060 0.780 0.008 0.088 0.064
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.7705 0.54270 0.080 0.584 0.072 0.136 0.128
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.4231 0.48239 0.012 0.000 0.132 0.792 0.064
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.4871 0.67599 0.064 0.784 0.008 0.076 0.068
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.8446 0.35865 0.012 0.220 0.152 0.416 0.200
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.9764 0.13239 0.128 0.256 0.192 0.268 0.156
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.4289 0.56687 0.020 0.000 0.764 0.024 0.192
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.2562 0.68144 0.024 0.008 0.912 0.028 0.028
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.4488 0.67241 0.056 0.804 0.004 0.080 0.056
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.4666 0.51548 0.676 0.284 0.000 0.000 0.040
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.3612 0.65334 0.044 0.852 0.000 0.052 0.052
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.3498 0.62109 0.016 0.000 0.848 0.044 0.092
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.4874 0.46822 0.008 0.004 0.156 0.744 0.088
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.6830 0.46598 0.012 0.100 0.620 0.184 0.084
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0451 0.67399 0.008 0.000 0.988 0.004 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 4 0.8532 0.16070 0.028 0.112 0.288 0.400 0.172
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.8252 0.12519 0.376 0.016 0.332 0.088 0.188
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.5574 0.65847 0.112 0.732 0.008 0.068 0.080
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.8033 0.52678 0.112 0.560 0.092 0.128 0.108
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.6397 0.37493 0.304 0.564 0.000 0.036 0.096
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.7735 0.36257 0.464 0.036 0.268 0.024 0.208
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.7084 0.23059 0.004 0.296 0.012 0.444 0.244
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.6441 0.58052 0.052 0.636 0.004 0.132 0.176
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.4606 0.54332 0.016 0.008 0.076 0.784 0.116
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.7807 0.50999 0.088 0.544 0.044 0.212 0.112
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.6852 0.32384 0.012 0.220 0.000 0.468 0.300
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 4 0.6381 0.15805 0.032 0.000 0.332 0.544 0.092
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.7191 0.41121 0.084 0.020 0.136 0.600 0.160
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.7412 0.46176 0.032 0.112 0.588 0.176 0.092
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.1772 0.66852 0.008 0.000 0.940 0.020 0.032
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.6924 0.45773 0.560 0.000 0.224 0.056 0.160
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.5545 0.50626 0.212 0.672 0.000 0.016 0.100
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.5326 0.52588 0.004 0.052 0.024 0.692 0.228
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 3 0.8993 0.05359 0.036 0.168 0.356 0.256 0.184
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.6735 0.24068 0.436 0.000 0.340 0.004 0.220
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.8720 0.46671 0.472 0.092 0.168 0.100 0.168
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.5947 0.48846 0.004 0.120 0.016 0.644 0.216
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 2 0.7360 0.15076 0.320 0.484 0.024 0.028 0.144
#> B40B9470-990D-4443-8484-17266E829557 2 0.5273 0.61024 0.032 0.736 0.004 0.136 0.092
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.3786 0.64117 0.776 0.204 0.000 0.004 0.016
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#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.3055 0.66907 0.840 0.144 0.000 0.000 0.016
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.4900 0.67594 0.060 0.776 0.004 0.096 0.064
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 4 0.8039 0.34862 0.112 0.032 0.156 0.520 0.180
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.8580 0.45589 0.156 0.496 0.100 0.100 0.148
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.4529 0.54676 0.016 0.012 0.036 0.776 0.160
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 4 0.8617 0.20410 0.024 0.128 0.268 0.392 0.188
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.7052 0.61107 0.128 0.636 0.040 0.100 0.096
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.4230 0.60668 0.168 0.776 0.000 0.008 0.048
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.4230 0.60668 0.168 0.776 0.000 0.008 0.048
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.2830 0.67347 0.012 0.012 0.896 0.056 0.024
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.2830 0.67347 0.012 0.012 0.896 0.056 0.024
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.6015 0.59155 0.192 0.668 0.004 0.048 0.088
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.7198 0.62359 0.100 0.628 0.048 0.108 0.116
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.7409 0.48926 0.052 0.572 0.052 0.224 0.100
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 3 0.9106 0.27342 0.072 0.188 0.408 0.168 0.164
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.1299 0.66446 0.012 0.000 0.960 0.008 0.020
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.6290 0.45570 0.572 0.004 0.248 0.004 0.172
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.7121 0.28859 0.000 0.284 0.028 0.468 0.220
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.4531 0.65300 0.048 0.804 0.008 0.056 0.084
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.3934 0.68014 0.828 0.108 0.036 0.008 0.020
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 4 0.7190 0.17836 0.008 0.324 0.012 0.428 0.228
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.3982 0.65745 0.068 0.832 0.004 0.028 0.068
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.3648 0.68409 0.840 0.096 0.020 0.000 0.044
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.4058 0.63680 0.072 0.816 0.000 0.020 0.092
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.4606 0.54332 0.016 0.008 0.076 0.784 0.116
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 3 0.8426 0.05119 0.020 0.112 0.376 0.324 0.168
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.4813 0.63563 0.112 0.772 0.000 0.052 0.064
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.4319 0.49450 0.024 0.000 0.096 0.800 0.080
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.2562 0.68144 0.024 0.008 0.912 0.028 0.028
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.7587 0.46097 0.048 0.112 0.584 0.164 0.092
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.8863 0.21941 0.232 0.420 0.072 0.096 0.180
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0854 0.67349 0.004 0.000 0.976 0.012 0.008
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.3777 0.55139 0.008 0.004 0.040 0.824 0.124
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.9231 0.21158 0.100 0.260 0.080 0.332 0.228
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.6928 0.20339 0.008 0.480 0.008 0.300 0.204
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 4 0.8927 0.28559 0.024 0.260 0.180 0.336 0.200
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.1314 0.67943 0.004 0.004 0.960 0.024 0.008
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.5646 0.64657 0.056 0.020 0.736 0.104 0.084
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.6259 0.54384 0.232 0.620 0.004 0.028 0.116
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.5518 0.61028 0.072 0.704 0.000 0.048 0.176
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.1116 0.66822 0.004 0.000 0.964 0.004 0.028
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.6617 0.63569 0.112 0.672 0.036 0.096 0.084
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.6160 0.65195 0.112 0.696 0.016 0.088 0.088
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.3197 0.67281 0.832 0.152 0.004 0.000 0.012
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.2232 0.67791 0.020 0.004 0.924 0.036 0.016
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.4526 0.55549 0.004 0.036 0.032 0.780 0.148
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.4755 0.56277 0.016 0.040 0.044 0.788 0.112
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.8584 0.42823 0.100 0.108 0.484 0.104 0.204
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0566 0.67497 0.000 0.000 0.984 0.012 0.004
#> EFA48913-D0BD-4530-A445-C327A89CE956 3 0.8250 0.09051 0.064 0.036 0.372 0.364 0.164
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0727 0.67147 0.004 0.000 0.980 0.004 0.012
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.3183 0.66799 0.828 0.156 0.000 0.000 0.016
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.9198 0.02462 0.060 0.364 0.220 0.204 0.152
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.4512 0.66365 0.068 0.796 0.000 0.052 0.084
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.9512 0.06152 0.296 0.104 0.272 0.120 0.208
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.2723 0.68123 0.020 0.020 0.904 0.044 0.012
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.1996 0.67873 0.000 0.004 0.928 0.032 0.036
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.7766 0.49309 0.056 0.572 0.092 0.128 0.152
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.7734 0.52976 0.104 0.056 0.564 0.084 0.192
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.3398 0.66871 0.048 0.864 0.000 0.044 0.044
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.7900 0.44549 0.032 0.184 0.068 0.512 0.204
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.5889 0.47289 0.588 0.320 0.012 0.004 0.076
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.4548 0.67539 0.072 0.804 0.008 0.068 0.048
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.5624 0.64458 0.132 0.724 0.008 0.064 0.072
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.6451 0.56689 0.064 0.664 0.016 0.144 0.112
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.2777 0.65910 0.040 0.896 0.000 0.028 0.036
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.7556 0.54994 0.100 0.588 0.060 0.172 0.080
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.2696 0.65740 0.032 0.900 0.000 0.028 0.040
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.5988 0.48532 0.004 0.124 0.016 0.640 0.216
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.9562 -0.21412 0.088 0.268 0.252 0.248 0.144
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.3383 0.63300 0.072 0.856 0.000 0.012 0.060
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.4289 0.56687 0.020 0.000 0.764 0.024 0.192
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.5539 0.61926 0.036 0.720 0.008 0.148 0.088
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.4744 0.67463 0.780 0.064 0.060 0.000 0.096
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.7347 0.32376 0.012 0.260 0.028 0.488 0.212
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0162 0.67336 0.000 0.000 0.996 0.004 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.8779 0.11228 0.036 0.132 0.392 0.260 0.180
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.3301 0.63380 0.088 0.856 0.000 0.008 0.048
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.4103 0.65626 0.016 0.020 0.828 0.088 0.048
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.6325 0.48351 0.004 0.128 0.024 0.608 0.236
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.8814 0.27512 0.108 0.428 0.260 0.092 0.112
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.4395 0.50561 0.016 0.004 0.104 0.796 0.080
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.3610 0.65425 0.044 0.852 0.000 0.048 0.056
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.6554 0.47119 0.004 0.144 0.032 0.596 0.224
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.5226 0.64554 0.036 0.036 0.768 0.060 0.100
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.5732 0.51900 0.004 0.072 0.028 0.664 0.232
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.5981 0.37316 0.032 0.004 0.212 0.656 0.096
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.6118 0.62404 0.148 0.696 0.028 0.076 0.052
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.5192 0.55470 0.016 0.000 0.708 0.192 0.084
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.6973 0.24062 0.440 0.000 0.332 0.016 0.212
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.5278 0.66795 0.080 0.764 0.020 0.080 0.056
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.5278 0.66795 0.080 0.764 0.020 0.080 0.056
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.9599 -0.18304 0.116 0.292 0.188 0.272 0.132
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.9341 -0.01483 0.244 0.348 0.160 0.076 0.172
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.6368 0.48253 0.004 0.100 0.648 0.180 0.068
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.5442 0.60964 0.036 0.724 0.004 0.140 0.096
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.7140 0.13598 0.008 0.344 0.008 0.408 0.232
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.3527 0.64790 0.792 0.192 0.000 0.000 0.016
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.1059 0.66790 0.008 0.000 0.968 0.004 0.020
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.8649 0.43801 0.152 0.488 0.104 0.100 0.156
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.3481 0.64740 0.848 0.020 0.000 0.032 0.036 0.064
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.8751 0.11510 0.352 0.124 0.128 0.012 0.152 0.232
#> 3BBC7540-136B-47C8-9C09-CD423685B742 6 0.7095 0.51101 0.088 0.008 0.200 0.188 0.008 0.508
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.6069 0.21258 0.344 0.072 0.000 0.004 0.520 0.060
#> 82DA87CF-C067-44B3-A372-ECB056337B08 6 0.6432 0.49607 0.060 0.012 0.272 0.112 0.000 0.544
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.1889 0.56728 0.000 0.056 0.920 0.000 0.004 0.020
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.6889 0.37457 0.000 0.212 0.064 0.460 0.004 0.260
#> C590B811-A42F-4ED2-896A-513EFD42D62D 5 0.3308 0.55530 0.092 0.008 0.012 0.004 0.848 0.036
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.7072 0.45522 0.508 0.024 0.056 0.020 0.104 0.288
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.4764 0.55547 0.020 0.040 0.720 0.004 0.016 0.200
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.8303 -0.07260 0.028 0.280 0.124 0.064 0.404 0.100
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 6 0.7300 0.49704 0.084 0.032 0.232 0.168 0.000 0.484
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 6 0.7063 0.52098 0.152 0.012 0.260 0.072 0.008 0.496
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.4204 0.07248 0.000 0.272 0.692 0.004 0.004 0.028
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 5 0.6116 0.09000 0.408 0.072 0.000 0.004 0.460 0.056
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.7004 0.62381 0.592 0.028 0.048 0.048 0.128 0.156
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 6 0.7416 0.53378 0.176 0.016 0.208 0.108 0.008 0.484
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 6 0.7079 -0.01870 0.404 0.016 0.100 0.056 0.020 0.404
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.6852 0.48235 0.536 0.008 0.048 0.048 0.084 0.276
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.4499 0.66713 0.788 0.044 0.000 0.048 0.048 0.072
#> E8385A24-9459-4D47-9147-3A628D1A213D 1 0.6243 0.36678 0.516 0.028 0.000 0.328 0.016 0.112
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.6503 0.44275 0.028 0.132 0.580 0.004 0.040 0.216
#> C42C8456-82F9-433C-82BA-F1284CDC425C 1 0.6217 0.52264 0.616 0.032 0.016 0.080 0.028 0.228
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.5436 0.53333 0.012 0.052 0.712 0.040 0.032 0.152
#> 032E0758-7A5B-405B-88D3-74C527605780 5 0.2902 0.55487 0.196 0.000 0.000 0.000 0.800 0.004
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.4738 0.66797 0.760 0.008 0.004 0.068 0.056 0.104
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 1 0.7203 0.49679 0.556 0.040 0.052 0.060 0.064 0.228
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.7103 0.35149 0.000 0.204 0.080 0.452 0.008 0.256
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.4893 0.66939 0.748 0.008 0.004 0.080 0.056 0.104
#> D48A0C08-C253-49EA-9083-DCA68541072B 6 0.7557 0.26113 0.172 0.012 0.136 0.292 0.000 0.388
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 1 0.9835 -0.24979 0.236 0.116 0.144 0.176 0.132 0.196
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.4204 0.07248 0.000 0.272 0.692 0.004 0.004 0.028
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.2271 0.60742 0.000 0.032 0.904 0.004 0.004 0.056
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.4902 0.67181 0.748 0.016 0.000 0.076 0.060 0.100
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.4246 0.50436 0.260 0.036 0.000 0.000 0.696 0.008
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.3745 0.64206 0.832 0.020 0.000 0.052 0.032 0.064
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.3820 0.38137 0.000 0.148 0.792 0.016 0.004 0.040
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.7340 0.28294 0.004 0.160 0.116 0.448 0.008 0.264
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.5761 0.23526 0.060 0.016 0.604 0.044 0.000 0.276
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0964 0.59794 0.000 0.004 0.968 0.000 0.012 0.016
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 6 0.6958 0.49832 0.064 0.040 0.256 0.104 0.004 0.532
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.8042 -0.37142 0.012 0.296 0.260 0.016 0.300 0.116
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.5363 0.64752 0.708 0.016 0.008 0.032 0.100 0.136
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.7003 0.42290 0.512 0.020 0.064 0.024 0.084 0.296
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.6537 0.41104 0.536 0.072 0.000 0.016 0.280 0.096
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.7743 -0.21930 0.028 0.296 0.212 0.000 0.364 0.100
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.5641 0.34434 0.236 0.012 0.004 0.596 0.000 0.152
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.6996 0.53398 0.552 0.060 0.004 0.216 0.052 0.116
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#> 16D23472-C0CB-49F9-9139-77920C50235F 1 0.6215 0.45202 0.556 0.028 0.004 0.288 0.016 0.108
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 6 0.7867 0.24879 0.012 0.120 0.328 0.144 0.024 0.372
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 5 0.4656 0.49110 0.068 0.120 0.032 0.000 0.760 0.020
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 1 0.7205 0.28712 0.428 0.016 0.028 0.280 0.016 0.232
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 5 0.2457 0.55265 0.084 0.036 0.000 0.000 0.880 0.000
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 6 0.7005 0.38308 0.104 0.040 0.340 0.048 0.004 0.464
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 3 0.7166 0.16563 0.000 0.160 0.460 0.132 0.004 0.244
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 4 0.5974 0.28893 0.260 0.012 0.004 0.556 0.004 0.164
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 1 0.6840 0.47632 0.524 0.016 0.024 0.080 0.060 0.296
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 4 0.5386 0.48946 0.004 0.112 0.016 0.672 0.012 0.184
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 6 0.8161 0.50400 0.180 0.040 0.272 0.116 0.012 0.380
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 1 0.5500 0.60419 0.684 0.048 0.000 0.020 0.168 0.080
#> D14A535D-5C31-4D78-8F92-3B50922211A2 3 0.6122 0.46588 0.016 0.144 0.592 0.012 0.012 0.224
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 6 0.7932 0.36855 0.288 0.016 0.168 0.128 0.016 0.384
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 6 0.6792 0.51369 0.144 0.008 0.264 0.068 0.004 0.512
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 6 0.8081 0.21627 0.008 0.180 0.276 0.132 0.032 0.372
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 3 0.6919 0.29310 0.032 0.124 0.492 0.000 0.056 0.296
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 1 0.2870 0.66291 0.884 0.020 0.000 0.024 0.044 0.028
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 4 0.7405 0.13071 0.000 0.124 0.232 0.404 0.004 0.236
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 4 0.8339 0.28806 0.188 0.072 0.036 0.436 0.072 0.196
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 1 0.4757 0.63427 0.748 0.028 0.000 0.020 0.132 0.072
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 1 0.4814 0.62901 0.744 0.036 0.000 0.016 0.132 0.072
#> B2010F2F-71D4-4637-BD7A-794E99732E03 1 0.4218 0.64028 0.800 0.052 0.000 0.016 0.076 0.056
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 1 0.6462 0.55451 0.596 0.020 0.040 0.016 0.112 0.216
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 1 0.7316 0.35076 0.512 0.056 0.072 0.120 0.004 0.236
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.6661 0.22520 0.060 0.080 0.504 0.004 0.024 0.328
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 5 0.8799 0.04784 0.056 0.248 0.080 0.116 0.384 0.116
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 4 0.6779 -0.12417 0.388 0.024 0.004 0.396 0.016 0.172
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 6 0.6877 0.46756 0.128 0.016 0.304 0.060 0.004 0.488
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 1 0.7177 0.18836 0.400 0.008 0.032 0.304 0.016 0.240
#> 91C50649-EC31-4E49-8312-199C21A1F371 6 0.8008 0.36215 0.268 0.032 0.180 0.056 0.044 0.420
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 4 0.6842 0.39840 0.004 0.208 0.044 0.480 0.008 0.256
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 6 0.8399 0.22273 0.304 0.064 0.160 0.032 0.076 0.364
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 5 0.2445 0.56382 0.108 0.020 0.000 0.000 0.872 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 1 0.4505 0.66862 0.760 0.004 0.000 0.064 0.044 0.128
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 4 0.8464 0.10063 0.008 0.184 0.108 0.336 0.080 0.284
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.7499 0.36090 0.456 0.052 0.076 0.004 0.120 0.292
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.5270 0.49262 0.004 0.112 0.012 0.680 0.012 0.180
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 6 0.6901 0.53530 0.076 0.032 0.224 0.112 0.004 0.552
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 1 0.6575 0.54994 0.584 0.016 0.032 0.032 0.108 0.228
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 1 0.5080 0.62015 0.712 0.056 0.000 0.004 0.148 0.080
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 1 0.5080 0.62015 0.712 0.056 0.000 0.004 0.148 0.080
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.2658 0.60846 0.008 0.004 0.872 0.004 0.008 0.104
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.2658 0.60846 0.008 0.004 0.872 0.004 0.008 0.104
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.6834 0.56898 0.576 0.068 0.004 0.040 0.188 0.124
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 1 0.6682 0.56675 0.572 0.024 0.028 0.032 0.104 0.240
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 1 0.6945 0.40335 0.508 0.012 0.040 0.080 0.052 0.308
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 3 0.8119 -0.21777 0.152 0.096 0.356 0.024 0.036 0.336
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.1080 0.56635 0.000 0.032 0.960 0.000 0.004 0.004
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 5 0.6511 -0.13533 0.004 0.276 0.196 0.000 0.488 0.036
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.5943 0.41375 0.216 0.024 0.008 0.604 0.004 0.144
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 1 0.4975 0.63363 0.752 0.040 0.004 0.056 0.036 0.112
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 5 0.3967 0.53403 0.092 0.008 0.028 0.004 0.812 0.056
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 4 0.6051 0.30188 0.248 0.012 0.004 0.548 0.004 0.184
#> 4877594A-03A8-4407-8F21-C133460DA44D 1 0.4569 0.65467 0.784 0.040 0.004 0.040 0.040 0.092
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 5 0.3216 0.53125 0.068 0.060 0.016 0.000 0.852 0.004
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.5135 0.63006 0.744 0.052 0.000 0.056 0.068 0.080
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.5806 0.45801 0.000 0.124 0.036 0.608 0.004 0.228
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 6 0.6998 0.40868 0.064 0.028 0.348 0.100 0.004 0.456
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.4837 0.64322 0.740 0.032 0.000 0.012 0.112 0.104
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.6707 0.38975 0.000 0.212 0.052 0.484 0.004 0.248
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.2271 0.60742 0.000 0.032 0.904 0.004 0.004 0.056
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.6320 0.13997 0.072 0.008 0.540 0.040 0.020 0.320
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 0.8562 0.24398 0.404 0.096 0.052 0.048 0.192 0.208
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.1036 0.59672 0.000 0.008 0.964 0.000 0.004 0.024
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.4675 0.49746 0.000 0.080 0.016 0.728 0.008 0.168
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.9104 -0.00167 0.224 0.104 0.048 0.276 0.084 0.264
#> D7791F51-5151-4E21-802F-F61EE07D626F 4 0.6315 -0.05605 0.404 0.020 0.004 0.424 0.004 0.144
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 6 0.7893 0.39832 0.208 0.024 0.164 0.188 0.004 0.412
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.1586 0.60998 0.004 0.012 0.940 0.000 0.004 0.040
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.5437 0.53741 0.004 0.092 0.704 0.032 0.028 0.140
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.6730 0.52337 0.552 0.052 0.000 0.036 0.228 0.132
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 1 0.6577 0.57440 0.616 0.068 0.000 0.144 0.068 0.104
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.1226 0.56622 0.000 0.040 0.952 0.000 0.004 0.004
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.6232 0.60130 0.624 0.008 0.028 0.040 0.104 0.196
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.5780 0.62493 0.664 0.020 0.016 0.020 0.104 0.176
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 5 0.3226 0.55975 0.116 0.020 0.000 0.000 0.836 0.028
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.1931 0.59464 0.000 0.040 0.924 0.004 0.004 0.028
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.4942 0.50859 0.024 0.068 0.016 0.736 0.008 0.148
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.5734 0.49695 0.024 0.080 0.024 0.652 0.008 0.212
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.7327 0.07590 0.076 0.116 0.428 0.000 0.044 0.336
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0891 0.59894 0.000 0.008 0.968 0.000 0.000 0.024
#> EFA48913-D0BD-4530-A445-C327A89CE956 6 0.7889 0.25301 0.012 0.124 0.324 0.144 0.024 0.372
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0964 0.58750 0.000 0.016 0.968 0.000 0.004 0.012
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 5 0.2667 0.56976 0.128 0.020 0.000 0.000 0.852 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 6 0.7819 0.33501 0.320 0.024 0.200 0.044 0.036 0.376
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 1 0.5422 0.65432 0.720 0.044 0.000 0.092 0.064 0.080
#> 2798DEF8-A841-4068-B3FC-76D57605235A 6 0.9317 -0.06420 0.096 0.220 0.204 0.036 0.208 0.236
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.2512 0.60990 0.008 0.028 0.896 0.004 0.004 0.060
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.2168 0.58596 0.000 0.036 0.916 0.016 0.004 0.028
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 0.6783 0.39010 0.532 0.040 0.072 0.028 0.028 0.300
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.7037 0.27697 0.036 0.124 0.480 0.000 0.060 0.300
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.3859 0.66030 0.824 0.028 0.000 0.032 0.036 0.080
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.7502 0.20550 0.124 0.036 0.056 0.468 0.024 0.292
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 5 0.5789 0.43028 0.312 0.092 0.012 0.000 0.564 0.020
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.4810 0.67095 0.752 0.008 0.004 0.048 0.076 0.112
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.5670 0.64969 0.692 0.028 0.004 0.052 0.136 0.088
#> 85C38170-F2A0-4491-BFDB-38489204C015 1 0.6217 0.52264 0.616 0.032 0.016 0.080 0.028 0.228
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.3167 0.65543 0.868 0.020 0.000 0.040 0.028 0.044
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.7041 0.47785 0.528 0.008 0.044 0.068 0.088 0.264
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.2925 0.65534 0.880 0.016 0.000 0.048 0.024 0.032
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.4953 0.50569 0.076 0.056 0.008 0.756 0.016 0.088
#> 0B400F91-2355-43AB-AA86-725C21352AB7 6 0.9279 0.39184 0.192 0.096 0.204 0.128 0.060 0.320
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.4310 0.63734 0.796 0.052 0.000 0.020 0.068 0.064
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.4204 0.07248 0.000 0.272 0.692 0.004 0.004 0.028
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.5202 0.61151 0.696 0.008 0.000 0.164 0.036 0.096
#> F4142833-0749-44A4-B769-66262AA4A484 5 0.4841 0.45158 0.040 0.124 0.048 0.000 0.752 0.036
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.6584 0.34540 0.200 0.032 0.016 0.540 0.004 0.208
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0862 0.59704 0.000 0.008 0.972 0.000 0.004 0.016
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 6 0.6772 0.39999 0.084 0.020 0.348 0.060 0.008 0.480
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.3758 0.65304 0.828 0.028 0.000 0.016 0.072 0.056
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.3400 0.59120 0.012 0.004 0.812 0.012 0.004 0.156
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.5134 0.49780 0.096 0.040 0.016 0.744 0.016 0.088
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.7978 0.01105 0.400 0.060 0.228 0.008 0.064 0.240
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.6637 0.39876 0.000 0.204 0.052 0.500 0.004 0.240
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.3730 0.64324 0.832 0.020 0.000 0.044 0.032 0.072
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.5120 0.47075 0.088 0.032 0.016 0.724 0.004 0.136
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.4828 0.55302 0.020 0.044 0.716 0.004 0.016 0.200
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.3745 0.50134 0.036 0.020 0.012 0.832 0.012 0.088
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 6 0.7788 -0.23095 0.000 0.244 0.140 0.292 0.012 0.312
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.5770 0.62230 0.676 0.036 0.016 0.012 0.136 0.124
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.6004 0.28947 0.000 0.144 0.632 0.100 0.004 0.120
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 5 0.6972 -0.38209 0.000 0.328 0.276 0.000 0.340 0.056
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.5011 0.65177 0.740 0.020 0.012 0.024 0.068 0.136
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.5011 0.65177 0.740 0.020 0.012 0.024 0.068 0.136
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 6 0.9347 0.33862 0.208 0.104 0.152 0.136 0.072 0.328
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.9016 0.00117 0.328 0.140 0.124 0.028 0.244 0.136
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.5645 0.28403 0.060 0.008 0.624 0.044 0.004 0.260
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.5410 0.59468 0.680 0.016 0.000 0.176 0.032 0.096
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.6064 0.25873 0.276 0.012 0.004 0.536 0.004 0.168
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 5 0.3037 0.56480 0.160 0.016 0.000 0.000 0.820 0.004
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.1053 0.58242 0.000 0.020 0.964 0.000 0.004 0.012
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.7507 0.32926 0.444 0.048 0.076 0.004 0.124 0.304
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 17395 rows and 473 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'MAD' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.468 0.831 0.871 0.4559 0.510 0.510
#> 3 3 0.630 0.607 0.782 0.3928 0.793 0.620
#> 4 4 0.671 0.796 0.876 0.1355 0.829 0.590
#> 5 5 0.660 0.613 0.781 0.0916 0.845 0.528
#> 6 6 0.680 0.641 0.763 0.0493 0.889 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
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.7883 0.8715 0.764 0.236
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.6048 0.6513 0.852 0.148
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.8955 0.3406 0.312 0.688
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0938 0.7653 0.988 0.012
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0938 0.9267 0.012 0.988
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.0000 0.9299 0.000 1.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.0938 0.9267 0.012 0.988
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0938 0.7653 0.988 0.012
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.7883 0.8715 0.764 0.236
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.0000 0.9299 0.000 1.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0938 0.7653 0.988 0.012
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0938 0.9267 0.012 0.988
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.9686 0.0471 0.396 0.604
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.0000 0.9299 0.000 1.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0938 0.7653 0.988 0.012
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.7883 0.8715 0.764 0.236
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.0938 0.9267 0.012 0.988
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.9580 0.0975 0.380 0.620
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.7883 0.8715 0.764 0.236
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.7883 0.8715 0.764 0.236
#> E8385A24-9459-4D47-9147-3A628D1A213D 1 0.8144 0.8613 0.748 0.252
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.0000 0.9299 0.000 1.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 1 0.8144 0.8613 0.748 0.252
#> 7194CC84-3897-4418-9695-66CC12CFE900 2 0.0000 0.9299 0.000 1.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0938 0.7653 0.988 0.012
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.7883 0.8715 0.764 0.236
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 1 0.7883 0.8715 0.764 0.236
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.0938 0.9267 0.012 0.988
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.7883 0.8715 0.764 0.236
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.0938 0.9267 0.012 0.988
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.1414 0.9144 0.020 0.980
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.0000 0.9299 0.000 1.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.0000 0.9299 0.000 1.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.7883 0.8715 0.764 0.236
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0938 0.7653 0.988 0.012
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.7883 0.8715 0.764 0.236
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.0000 0.9299 0.000 1.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.0938 0.9267 0.012 0.988
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.0000 0.9299 0.000 1.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.0000 0.9299 0.000 1.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.0938 0.9267 0.012 0.988
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 2 0.7883 0.6799 0.236 0.764
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.7883 0.8715 0.764 0.236
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.9129 0.7692 0.672 0.328
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.0938 0.7653 0.988 0.012
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.7376 0.5597 0.792 0.208
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 1 0.8144 0.8613 0.748 0.252
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.7883 0.8715 0.764 0.236
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 1 0.9983 0.4635 0.524 0.476
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.8016 0.8666 0.756 0.244
#> F8FF0B4E-0868-417C-9118-F484437E57DA 1 0.8144 0.8613 0.748 0.252
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.0000 0.9299 0.000 1.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 2 0.0000 0.9299 0.000 1.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.0000 0.9299 0.000 1.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.0000 0.9299 0.000 1.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 2 0.8861 0.6276 0.304 0.696
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.0000 0.7686 1.000 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 1 0.9635 0.6695 0.612 0.388
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.0938 0.9267 0.012 0.988
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 2 0.7883 0.6799 0.236 0.764
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 2 0.9000 0.6156 0.316 0.684
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 1 0.8267 0.8551 0.740 0.260
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.0938 0.7653 0.988 0.012
#> B40B9470-990D-4443-8484-17266E829557 1 0.7883 0.8715 0.764 0.236
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.0938 0.7653 0.988 0.012
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 2 0.9635 0.5196 0.388 0.612
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.8443 0.4632 0.272 0.728
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 1 0.7883 0.8715 0.764 0.236
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 1 0.8144 0.8613 0.748 0.252
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0938 0.7653 0.988 0.012
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.8713 0.3816 0.708 0.292
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 1 0.7883 0.8715 0.764 0.236
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 1 0.7883 0.8715 0.764 0.236
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 1 0.7883 0.8715 0.764 0.236
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 2 0.0000 0.9299 0.000 1.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.0938 0.7653 0.988 0.012
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.7883 0.8715 0.764 0.236
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 2 0.0000 0.9299 0.000 1.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.0938 0.7653 0.988 0.012
#> 12B37C6C-03BB-4632-901E-524A46955B98 1 0.7883 0.8715 0.764 0.236
#> B308794B-BB34-43C7-AC89-C5230E782F0A 1 0.7883 0.8715 0.764 0.236
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 1 0.7883 0.8715 0.764 0.236
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 2 0.0000 0.9299 0.000 1.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 2 0.0938 0.9267 0.012 0.988
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 1 0.0938 0.7653 0.988 0.012
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.6887 0.6788 0.184 0.816
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 1 0.8267 0.8551 0.740 0.260
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0938 0.7653 0.988 0.012
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.0938 0.9267 0.012 0.988
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.0938 0.9267 0.012 0.988
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.0376 0.9290 0.004 0.996
#> 77744579-17ED-499B-92FD-089789C44F8A 1 0.7883 0.8715 0.764 0.236
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 2 0.0000 0.9299 0.000 1.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 2 0.0000 0.9299 0.000 1.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.0000 0.7686 1.000 0.000
#> 2C2589E0-2055-43AC-8001-1643839F80D4 2 0.0000 0.9299 0.000 1.000
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 2 0.0000 0.9299 0.000 1.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 1 0.0000 0.7686 1.000 0.000
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 1 0.6801 0.8530 0.820 0.180
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.0938 0.9267 0.012 0.988
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 2 0.0000 0.9299 0.000 1.000
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 1 0.7883 0.8715 0.764 0.236
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 1 0.0000 0.7686 1.000 0.000
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 1 0.7883 0.8715 0.764 0.236
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 2 0.8443 0.6557 0.272 0.728
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 2 0.0000 0.9299 0.000 1.000
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 1 0.8713 0.8203 0.708 0.292
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 1 0.7883 0.8715 0.764 0.236
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 1 0.0938 0.7653 0.988 0.012
#> A3AC663C-1578-4946-AED3-2FF9A739168E 2 0.9896 -0.1826 0.440 0.560
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.9608 0.0545 0.384 0.616
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 2 0.0000 0.9299 0.000 1.000
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 2 0.7883 0.6799 0.236 0.764
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 2 0.0000 0.9299 0.000 1.000
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 1 0.7883 0.8715 0.764 0.236
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 2 0.0000 0.9299 0.000 1.000
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 1 0.9248 0.7556 0.660 0.340
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 2 0.0938 0.9267 0.012 0.988
#> 5813BD59-3E38-4630-8735-F9F743F28160 2 0.0000 0.9299 0.000 1.000
#> 4ED692EB-E194-49D7-9222-6232051426E5 1 0.8955 0.7945 0.688 0.312
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 1 0.0000 0.7686 1.000 0.000
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 2 0.0000 0.9299 0.000 1.000
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 1 0.6801 0.8530 0.820 0.180
#> 64B33223-EB30-49ED-A3D8-5AC598845465 2 0.0938 0.9267 0.012 0.988
#> 21599029-B6C9-4385-B87C-FDB99F956118 2 0.0000 0.9299 0.000 1.000
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 1 0.8267 0.8551 0.740 0.260
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 2 0.0938 0.9267 0.012 0.988
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 1 0.7883 0.8715 0.764 0.236
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 1 0.7883 0.8715 0.764 0.236
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 1 0.9248 0.7535 0.660 0.340
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 1 0.0938 0.7653 0.988 0.012
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 2 0.0938 0.9267 0.012 0.988
#> 8902E88F-181A-46FE-9C80-F11C107B33E4 1 0.8207 0.8590 0.744 0.256
#> 24F2D373-AE15-47B0-8F1B-740426145C2C 1 0.7883 0.8715 0.764 0.236
#> A154A921-EB14-48DF-BF70-AE765CCE5CAB 1 0.0000 0.7686 1.000 0.000
#> D508AD79-2273-4E78-A6EE-97FBAAC7E851 1 0.7883 0.8715 0.764 0.236
#> 023D7F8E-5BD5-4AE8-8A7F-1851AA7F228A 2 0.0000 0.9299 0.000 1.000
#> 3BDE962B-6791-40BC-B3AA-C4D527FFEF22 1 0.5946 0.6557 0.856 0.144
#> 2F2D34BA-A568-470E-B0D9-5875E897FF39 2 0.0000 0.9299 0.000 1.000
#> 6DB55201-3973-4650-842E-842D5869C567 1 0.0938 0.7653 0.988 0.012
#> 258CFB91-4E4F-48F9-A483-9F6C4CFF0D3C 2 0.0000 0.9299 0.000 1.000
#> 5373681D-9C2C-46FE-AA89-05741DA4080B 1 0.0938 0.7653 0.988 0.012
#> 050B778A-9D6F-4742-B6AA-CBF8541F6203 1 0.7674 0.8617 0.776 0.224
#> 46FAC69E-DB01-452F-A3EE-D7339DD562CE 1 0.9129 0.7226 0.672 0.328
#> 2115D9F7-F4A9-4408-9AEF-BCFAF10C4867 1 0.7299 0.8621 0.796 0.204
#> DCEFC413-9710-4863-A5B1-8EFBA98CF126 1 0.7883 0.8715 0.764 0.236
#> 49CA7C56-BD81-4E36-9E50-EF36EDDD8D28 1 0.8555 0.8419 0.720 0.280
#> 9A497869-8F26-438D-85B0-C2CB39E487AE 1 0.7883 0.8715 0.764 0.236
#> D7B44985-AF29-44DF-8966-1228629EE8E2 2 0.0000 0.9299 0.000 1.000
#> 65343EA3-C1AA-4AA6-BC96-D8DE39E48000 2 0.0000 0.9299 0.000 1.000
#> 38C30CDE-2564-40A0-9594-FFA8D8330585 1 0.7883 0.8715 0.764 0.236
#> 660A826B-C49F-4D57-9778-C2FCD600FFA1 2 0.9580 0.0792 0.380 0.620
#> C5F7AAB7-8C35-4AC8-BFD2-6F3C9F3F9586 1 0.6801 0.8530 0.820 0.180
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#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 2 0.0000 0.9299 0.000 1.000
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.0938 0.7653 0.988 0.012
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 1 0.7883 0.8715 0.764 0.236
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.0938 0.7653 0.988 0.012
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 2 0.0672 0.9279 0.008 0.992
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 2 0.0938 0.9267 0.012 0.988
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 1 0.8144 0.8613 0.748 0.252
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 1 0.8144 0.8613 0.748 0.252
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 1 0.9661 0.6618 0.608 0.392
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 2 0.0000 0.9299 0.000 1.000
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 1 0.6801 0.8530 0.820 0.180
#> D14A535D-5C31-4D78-8F92-3B50922211A2 2 0.0376 0.9268 0.004 0.996
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.0938 0.9267 0.012 0.988
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.9732 -0.0187 0.404 0.596
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 2 0.0000 0.9299 0.000 1.000
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 2 0.2603 0.8879 0.044 0.956
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 1 0.7883 0.8715 0.764 0.236
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 2 0.0938 0.9267 0.012 0.988
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 1 0.9248 0.7536 0.660 0.340
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 1 0.7745 0.8696 0.772 0.228
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 1 0.7883 0.8715 0.764 0.236
#> B2010F2F-71D4-4637-BD7A-794E99732E03 1 0.6801 0.8530 0.820 0.180
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 1 0.7883 0.8715 0.764 0.236
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 1 0.8555 0.8344 0.720 0.280
#> 212CB113-E765-4146-AC8A-B34044E2A849 2 0.0000 0.9299 0.000 1.000
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.0938 0.7653 0.988 0.012
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 1 0.8144 0.8613 0.748 0.252
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.0938 0.9267 0.012 0.988
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 1 0.8144 0.8613 0.748 0.252
#> 91C50649-EC31-4E49-8312-199C21A1F371 1 0.7883 0.8715 0.764 0.236
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.0938 0.9267 0.012 0.988
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.9922 -0.0486 0.448 0.552
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.0938 0.7653 0.988 0.012
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 1 0.7883 0.8715 0.764 0.236
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 2 0.8499 0.6549 0.276 0.724
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.0938 0.7653 0.988 0.012
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 1 0.9661 0.6618 0.608 0.392
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.0938 0.9267 0.012 0.988
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 1 0.7883 0.8715 0.764 0.236
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 1 0.3584 0.7326 0.932 0.068
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 1 0.0938 0.7653 0.988 0.012
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 2 0.0000 0.9299 0.000 1.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 2 0.0000 0.9299 0.000 1.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.0000 0.7686 1.000 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 1 0.7883 0.8715 0.764 0.236
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 1 0.7883 0.8715 0.764 0.236
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.0000 0.9299 0.000 1.000
#> 560C9030-5EF4-466E-9149-BFB8215A512A 2 0.0000 0.9299 0.000 1.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.9881 -0.0898 0.564 0.436
#> DD8F70E2-3827-4603-8971-E420450D919C 1 0.8267 0.8551 0.740 0.260
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 1 0.7883 0.8715 0.764 0.236
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.0938 0.7653 0.988 0.012
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 1 0.8327 0.8513 0.736 0.264
#> 4877594A-03A8-4407-8F21-C133460DA44D 1 0.7883 0.8715 0.764 0.236
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0938 0.7653 0.988 0.012
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.0000 0.7686 1.000 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 1 0.8267 0.8551 0.740 0.260
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.0672 0.9279 0.008 0.992
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.7883 0.8715 0.764 0.236
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.0938 0.9267 0.012 0.988
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 2 0.0000 0.9299 0.000 1.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.0000 0.9299 0.000 1.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 0.0938 0.7653 0.988 0.012
#> 62315297-B01F-4A7F-9C15-5B602099257F 2 0.0000 0.9299 0.000 1.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.3431 0.8712 0.064 0.936
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 1 0.8016 0.8668 0.756 0.244
#> D7791F51-5151-4E21-802F-F61EE07D626F 1 0.7883 0.8715 0.764 0.236
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.0938 0.9267 0.012 0.988
#> 1707CA8B-228E-49F9-B78A-A0171E853376 2 0.0000 0.9299 0.000 1.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 2 0.0000 0.9299 0.000 1.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.0938 0.7653 0.988 0.012
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 1 0.0000 0.7686 1.000 0.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 2 0.0000 0.9299 0.000 1.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.7883 0.8715 0.764 0.236
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.7883 0.8715 0.764 0.236
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.0938 0.7653 0.988 0.012
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 2 0.0000 0.9299 0.000 1.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 1 0.8144 0.8613 0.748 0.252
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.0938 0.9267 0.012 0.988
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.4939 0.8081 0.108 0.892
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.0000 0.9299 0.000 1.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.0000 0.9299 0.000 1.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 2 0.0000 0.9299 0.000 1.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0938 0.7653 0.988 0.012
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.8144 0.8610 0.748 0.252
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 1 0.7883 0.8715 0.764 0.236
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.8661 0.6426 0.288 0.712
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 2 0.0000 0.9299 0.000 1.000
#> E5D94733-7D43-4021-8F57-4426EF183682 2 0.0000 0.9299 0.000 1.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 1.0000 0.4011 0.500 0.500
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.9686 0.5067 0.396 0.604
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.7883 0.8715 0.764 0.236
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 1 0.7883 0.8715 0.764 0.236
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0938 0.7653 0.988 0.012
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.7883 0.8715 0.764 0.236
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.7883 0.8715 0.764 0.236
#> 85C38170-F2A0-4491-BFDB-38489204C015 1 0.8144 0.8613 0.748 0.252
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.7883 0.8715 0.764 0.236
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.7883 0.8715 0.764 0.236
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.7883 0.8715 0.764 0.236
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 1 0.8267 0.8551 0.740 0.260
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.1184 0.9183 0.016 0.984
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.7883 0.8715 0.764 0.236
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.0000 0.9299 0.000 1.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.7883 0.8715 0.764 0.236
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.7453 0.5526 0.788 0.212
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.0938 0.9267 0.012 0.988
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.0000 0.9299 0.000 1.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.0938 0.9267 0.012 0.988
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.6801 0.8530 0.820 0.180
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.0000 0.9299 0.000 1.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 1 0.8267 0.8551 0.740 0.260
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.8713 0.8287 0.708 0.292
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.0938 0.9267 0.012 0.988
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.7883 0.8715 0.764 0.236
#> F17C0E73-4C34-4F82-8562-56985A59316C 1 0.8267 0.8551 0.740 0.260
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.0000 0.9299 0.000 1.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 1 0.8267 0.8551 0.740 0.260
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.0938 0.9267 0.012 0.988
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.7139 0.8592 0.804 0.196
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.0000 0.9299 0.000 1.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 2 0.8144 0.6688 0.252 0.748
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.7883 0.8715 0.764 0.236
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.7883 0.8715 0.764 0.236
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.5294 0.7828 0.120 0.880
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0938 0.7653 0.988 0.012
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.0000 0.9299 0.000 1.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.7883 0.8715 0.764 0.236
#> 44A16F74-F823-4B27-AC3B-52526426199B 1 0.8267 0.8551 0.740 0.260
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0938 0.7653 0.988 0.012
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.0000 0.9299 0.000 1.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.4939 0.8107 0.892 0.108
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.7086 0.000 1.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.7610 0.6569 0.536 0.420 0.044
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.7121 0.4980 0.428 0.548 0.024
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.6267 0.6837 0.548 0.452 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.6308 -0.0607 0.000 0.492 0.508
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.8258 0.000 0.000 1.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.6267 0.5011 0.452 0.000 0.548
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.6267 0.6837 0.548 0.452 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.0892 0.6991 0.020 0.980 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0000 0.8258 0.000 0.000 1.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.6235 0.6731 0.564 0.436 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 3 0.6483 0.4966 0.452 0.004 0.544
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.6225 0.2542 0.000 0.568 0.432
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.8258 0.000 0.000 1.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.6267 0.6837 0.548 0.452 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.0892 0.6991 0.020 0.980 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.0000 0.8258 0.000 0.000 1.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.6777 0.3142 0.020 0.616 0.364
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0000 0.7086 0.000 1.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0892 0.6991 0.020 0.980 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.6204 0.5157 0.424 0.576 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.0000 0.8258 0.000 0.000 1.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0747 0.7064 0.016 0.984 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.8258 0.000 0.000 1.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.6267 0.6837 0.548 0.452 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0237 0.7071 0.004 0.996 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0000 0.7086 0.000 1.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 3 0.6267 0.5011 0.452 0.000 0.548
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0237 0.7071 0.004 0.996 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 1 0.8889 -0.3548 0.452 0.428 0.120
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 3 0.6483 0.4966 0.452 0.004 0.544
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.8258 0.000 0.000 1.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0000 0.8258 0.000 0.000 1.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0000 0.7086 0.000 1.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.6267 0.6837 0.548 0.452 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0747 0.7015 0.016 0.984 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0000 0.8258 0.000 0.000 1.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 3 0.7164 0.4724 0.452 0.024 0.524
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0000 0.8258 0.000 0.000 1.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0000 0.8258 0.000 0.000 1.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.0000 0.8258 0.000 0.000 1.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 3 0.0000 0.8258 0.000 0.000 1.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.0892 0.6991 0.020 0.980 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.3415 0.6411 0.020 0.900 0.080
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.6267 0.6837 0.548 0.452 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.9072 0.5820 0.548 0.260 0.192
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.6267 0.5025 0.452 0.548 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0000 0.7086 0.000 1.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.7661 0.4483 0.452 0.504 0.044
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#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0000 0.8258 0.000 0.000 1.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.0000 0.8258 0.000 0.000 1.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.5733 -0.0911 0.324 0.676 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0000 0.8258 0.000 0.000 1.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 1 0.9140 -0.3080 0.452 0.144 0.404
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.6267 0.5025 0.452 0.548 0.000
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.5835 0.5533 0.340 0.660 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 1 0.8979 -0.3453 0.452 0.420 0.128
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0000 0.8258 0.000 0.000 1.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.0000 0.8258 0.000 0.000 1.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.6267 0.6837 0.548 0.452 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.0000 0.7086 0.000 1.000 0.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0000 0.8258 0.000 0.000 1.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.0747 0.7015 0.016 0.984 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.0892 0.6991 0.020 0.980 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.6267 0.6837 0.548 0.452 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.8258 0.000 0.000 1.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.6267 0.5025 0.452 0.548 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 3 0.7832 0.4352 0.452 0.052 0.496
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.3826 0.7014 0.124 0.008 0.868
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0000 0.8258 0.000 0.000 1.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 3 0.6045 0.5551 0.380 0.000 0.620
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.8258 0.000 0.000 1.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.6267 0.6837 0.548 0.452 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.1129 0.6987 0.020 0.976 0.004
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0000 0.7086 0.000 1.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.5905 0.3469 0.352 0.000 0.648
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0000 0.8258 0.000 0.000 1.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.8258 0.000 0.000 1.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.5731 0.4739 0.020 0.752 0.228
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.6647 0.1339 0.540 0.008 0.452
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.0892 0.6991 0.020 0.980 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.6267 0.5025 0.452 0.548 0.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.6267 0.6837 0.548 0.452 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0000 0.7086 0.000 1.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0892 0.6991 0.020 0.980 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.2261 0.6866 0.068 0.932 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0000 0.7086 0.000 1.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.0592 0.7036 0.012 0.988 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.7086 0.000 1.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.6267 0.5025 0.452 0.548 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.3340 0.6995 0.000 0.120 0.880
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.7086 0.000 1.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.8258 0.000 0.000 1.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.1031 0.7041 0.024 0.976 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.9061 0.5841 0.548 0.264 0.188
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 3 0.7476 0.4570 0.452 0.036 0.512
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.8258 0.000 0.000 1.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.5216 0.4967 0.000 0.260 0.740
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0892 0.6991 0.020 0.980 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0000 0.8258 0.000 0.000 1.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.6267 0.5025 0.452 0.548 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.3091 0.6264 0.072 0.912 0.016
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.6793 0.4871 0.452 0.012 0.536
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.7086 0.000 1.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.6267 0.5025 0.452 0.548 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.0000 0.8258 0.000 0.000 1.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.6267 0.5025 0.452 0.548 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.6267 0.5011 0.452 0.000 0.548
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.2066 0.6486 0.060 0.940 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0000 0.8258 0.000 0.000 1.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.6295 0.0836 0.528 0.000 0.472
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.0892 0.6991 0.020 0.980 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0892 0.6991 0.020 0.980 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.7809 0.2335 0.060 0.372 0.568
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.6267 0.6837 0.548 0.452 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0000 0.8258 0.000 0.000 1.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.0000 0.7086 0.000 1.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.6267 0.5025 0.452 0.548 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.6267 0.6837 0.548 0.452 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.8258 0.000 0.000 1.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.2537 0.6184 0.080 0.920 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0672 0.8326 0.008 0.984 0.000 0.008
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.5326 0.6249 0.380 0.604 0.016 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.4247 0.7793 0.112 0.832 0.012 0.044
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.3123 0.8600 0.844 0.156 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.6951 0.4275 0.132 0.544 0.324 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0895 0.9054 0.020 0.000 0.976 0.004
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.1520 0.8853 0.024 0.000 0.020 0.956
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.2760 0.8667 0.872 0.128 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.4699 0.7018 0.320 0.676 0.004 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0188 0.9107 0.004 0.000 0.996 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.1398 0.8492 0.956 0.040 0.000 0.004
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.0469 0.8962 0.000 0.012 0.000 0.988
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.6058 0.6457 0.136 0.684 0.180 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.1004 0.9037 0.024 0.000 0.972 0.004
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.3172 0.8577 0.840 0.160 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.3837 0.7417 0.224 0.776 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.2676 0.8771 0.092 0.012 0.896 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.6594 0.5663 0.140 0.620 0.240 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.1489 0.8355 0.044 0.952 0.000 0.004
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0707 0.8318 0.020 0.980 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.4040 0.6336 0.000 0.752 0.000 0.248
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.0336 0.9106 0.008 0.000 0.992 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.3707 0.7746 0.132 0.840 0.028 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0188 0.9112 0.000 0.000 0.996 0.004
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.3907 0.8032 0.768 0.232 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.1151 0.8330 0.024 0.968 0.000 0.008
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.3236 0.7864 0.136 0.856 0.004 0.004
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.1284 0.8890 0.024 0.000 0.012 0.964
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.2271 0.8212 0.076 0.916 0.000 0.008
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.3278 0.8051 0.000 0.116 0.020 0.864
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.0000 0.8995 0.000 0.000 0.000 1.000
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0895 0.9054 0.020 0.000 0.976 0.004
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0188 0.9107 0.004 0.000 0.996 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0657 0.8325 0.012 0.984 0.000 0.004
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.3172 0.8577 0.840 0.160 0.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0592 0.8320 0.016 0.984 0.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.1004 0.9037 0.024 0.000 0.972 0.004
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.0336 0.8983 0.008 0.000 0.000 0.992
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0188 0.9112 0.000 0.000 0.996 0.004
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0000 0.9111 0.000 0.000 1.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.2988 0.8649 0.112 0.012 0.876 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 3 0.0188 0.9112 0.000 0.000 0.996 0.004
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.3528 0.7599 0.192 0.808 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.5453 0.6843 0.320 0.648 0.032 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.3123 0.8600 0.844 0.156 0.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.0921 0.8227 0.972 0.000 0.028 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.3528 0.7350 0.000 0.192 0.000 0.808
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0524 0.8323 0.004 0.988 0.000 0.008
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.0188 0.9001 0.000 0.004 0.000 0.996
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.2412 0.8268 0.084 0.908 0.000 0.008
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.0469 0.8973 0.000 0.012 0.000 0.988
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.1004 0.9037 0.024 0.000 0.972 0.004
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.1406 0.8873 0.024 0.000 0.016 0.960
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.1151 0.9054 0.024 0.008 0.968 0.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.1004 0.9037 0.024 0.000 0.972 0.004
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.2868 0.7408 0.864 0.000 0.136 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.0592 0.8320 0.016 0.984 0.000 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.0188 0.9001 0.000 0.004 0.000 0.996
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 3 0.7153 -0.0526 0.132 0.424 0.444 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.4331 0.5718 0.288 0.000 0.712 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.5388 -0.0772 0.532 0.012 0.456 0.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.0188 0.9001 0.000 0.004 0.000 0.996
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.2704 0.8663 0.876 0.124 0.000 0.000
#> B40B9470-990D-4443-8484-17266E829557 2 0.0524 0.8323 0.004 0.988 0.000 0.008
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.3873 0.8073 0.772 0.228 0.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 3 0.4769 0.6459 0.308 0.008 0.684 0.000
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.5380 0.7111 0.136 0.744 0.120 0.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0804 0.8325 0.012 0.980 0.000 0.008
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.2345 0.7986 0.000 0.900 0.000 0.100
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.1557 0.8596 0.944 0.056 0.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.1452 0.8120 0.956 0.008 0.036 0.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0524 0.8323 0.004 0.988 0.000 0.008
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.2469 0.7941 0.000 0.892 0.000 0.108
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.0336 0.8322 0.000 0.992 0.000 0.008
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.0188 0.9112 0.000 0.000 0.996 0.004
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.3172 0.8577 0.840 0.160 0.000 0.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.3569 0.7533 0.196 0.804 0.000 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0188 0.9112 0.000 0.000 0.996 0.004
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.3172 0.8577 0.840 0.160 0.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.0672 0.8322 0.008 0.984 0.000 0.008
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.0672 0.8322 0.008 0.984 0.000 0.008
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.0336 0.8322 0.000 0.992 0.000 0.008
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0895 0.9054 0.020 0.000 0.976 0.004
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.1629 0.8831 0.024 0.000 0.024 0.952
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 4 0.5028 0.3179 0.400 0.004 0.000 0.596
#> EB5CF362-6974-4137-AC92-2051B1594E13 4 0.0592 0.8962 0.016 0.000 0.000 0.984
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.0188 0.9001 0.000 0.004 0.000 0.996
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.3123 0.8600 0.844 0.156 0.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 4 0.1629 0.8831 0.024 0.000 0.024 0.952
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 4 0.1629 0.8831 0.024 0.000 0.024 0.952
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.1004 0.9037 0.024 0.000 0.972 0.004
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.1888 0.8226 0.016 0.940 0.000 0.044
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.0000 0.9111 0.000 0.000 1.000 0.000
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#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0000 0.9111 0.000 0.000 1.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 3 0.5540 0.4321 0.012 0.012 0.624 0.352
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0188 0.9112 0.000 0.000 0.996 0.004
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.3123 0.8600 0.844 0.156 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.4635 0.7601 0.216 0.756 0.028 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0672 0.8322 0.008 0.984 0.000 0.008
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.3249 0.8461 0.140 0.008 0.852 0.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0188 0.9112 0.000 0.000 0.996 0.004
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0188 0.9112 0.000 0.000 0.996 0.004
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.5812 0.6745 0.136 0.708 0.156 0.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.3913 0.8236 0.148 0.028 0.824 0.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.0592 0.8320 0.016 0.984 0.000 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.3688 0.7124 0.000 0.208 0.000 0.792
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.2647 0.8665 0.880 0.120 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0804 0.8331 0.012 0.980 0.000 0.008
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.3801 0.7454 0.220 0.780 0.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.1888 0.8226 0.016 0.940 0.000 0.044
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0672 0.8326 0.008 0.984 0.000 0.008
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.4538 0.7626 0.216 0.760 0.024 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0524 0.8323 0.004 0.988 0.000 0.008
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.0188 0.9001 0.000 0.004 0.000 0.996
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.3088 0.8544 0.128 0.008 0.864 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0672 0.8322 0.008 0.984 0.000 0.008
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.1004 0.9037 0.024 0.000 0.972 0.004
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0469 0.8319 0.000 0.988 0.000 0.012
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.1284 0.8416 0.964 0.024 0.012 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.0336 0.8986 0.000 0.008 0.000 0.992
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0188 0.9112 0.000 0.000 0.996 0.004
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.5012 0.7482 0.112 0.116 0.772 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0817 0.8316 0.024 0.976 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0188 0.9112 0.000 0.000 0.996 0.004
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.0188 0.9001 0.000 0.004 0.000 0.996
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.5713 0.6367 0.360 0.604 0.036 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0000 0.8995 0.000 0.000 0.000 1.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0524 0.8323 0.004 0.988 0.000 0.008
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.0188 0.9001 0.000 0.004 0.000 0.996
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.0779 0.9086 0.016 0.004 0.980 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.0336 0.8990 0.000 0.008 0.000 0.992
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.1284 0.8890 0.024 0.000 0.012 0.964
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.4155 0.7303 0.240 0.756 0.004 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.1004 0.9037 0.024 0.000 0.972 0.004
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.4746 0.3411 0.632 0.000 0.368 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.3801 0.7471 0.220 0.780 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.2281 0.8159 0.096 0.904 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.7693 0.4977 0.132 0.224 0.592 0.052
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.1389 0.8559 0.952 0.048 0.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0000 0.9111 0.000 0.000 1.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.0524 0.8323 0.004 0.988 0.000 0.008
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.4994 0.0967 0.000 0.480 0.000 0.520
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.3172 0.8577 0.840 0.160 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0524 0.9094 0.008 0.000 0.988 0.004
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.4761 0.6972 0.332 0.664 0.004 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.3043 0.6973 0.080 0.864 0.000 0.000 0.056
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.2632 0.5437 0.888 0.040 0.000 0.000 0.072
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.5125 0.2287 0.416 0.544 0.000 0.040 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.0693 0.8417 0.012 0.008 0.000 0.000 0.980
#> 82DA87CF-C067-44B3-A372-ECB056337B08 1 0.3159 0.5306 0.856 0.088 0.056 0.000 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0162 0.8270 0.004 0.000 0.996 0.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.1787 0.9008 0.016 0.000 0.044 0.936 0.004
#> C590B811-A42F-4ED2-896A-513EFD42D62D 5 0.2171 0.8272 0.024 0.064 0.000 0.000 0.912
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.4307 0.5518 0.772 0.100 0.000 0.000 0.128
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.1270 0.8341 0.052 0.000 0.948 0.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.3381 0.7636 0.176 0.000 0.000 0.016 0.808
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.3898 0.7954 0.116 0.080 0.000 0.804 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 1 0.5026 0.1431 0.588 0.372 0.040 0.000 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0324 0.8221 0.004 0.000 0.992 0.000 0.004
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 5 0.1281 0.8350 0.032 0.012 0.000 0.000 0.956
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.6452 0.4212 0.496 0.220 0.000 0.000 0.284
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.4434 0.4522 0.460 0.004 0.536 0.000 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.2846 0.5523 0.884 0.076 0.028 0.000 0.012
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.5854 -0.0833 0.436 0.468 0.000 0.000 0.096
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.3181 0.6926 0.072 0.856 0.000 0.000 0.072
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.1357 0.7311 0.000 0.948 0.000 0.048 0.004
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.2561 0.7864 0.144 0.000 0.856 0.000 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.3266 0.6193 0.200 0.796 0.004 0.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.1121 0.8359 0.044 0.000 0.956 0.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 5 0.2629 0.7633 0.004 0.136 0.000 0.000 0.860
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.5329 0.4962 0.184 0.672 0.000 0.000 0.144
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.3274 0.6074 0.220 0.780 0.000 0.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.1787 0.9008 0.016 0.000 0.044 0.936 0.004
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.6420 -0.0718 0.376 0.448 0.000 0.000 0.176
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.6787 0.0965 0.288 0.380 0.000 0.332 0.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.2964 0.8404 0.120 0.024 0.000 0.856 0.000
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.8255 0.000 0.000 1.000 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.1608 0.8258 0.072 0.000 0.928 0.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.4937 0.4392 0.264 0.672 0.000 0.000 0.064
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.0912 0.8395 0.016 0.012 0.000 0.000 0.972
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.4313 0.5934 0.172 0.760 0.000 0.000 0.068
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0566 0.8177 0.012 0.000 0.984 0.000 0.004
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.0510 0.9131 0.016 0.000 0.000 0.984 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.1121 0.8359 0.044 0.000 0.956 0.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.1121 0.8359 0.044 0.000 0.956 0.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 1 0.3353 0.3965 0.796 0.008 0.196 0.000 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 3 0.1544 0.8269 0.068 0.000 0.932 0.000 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.6665 0.3269 0.436 0.312 0.000 0.000 0.252
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.2871 0.5613 0.872 0.088 0.000 0.000 0.040
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 5 0.2110 0.8100 0.072 0.016 0.000 0.000 0.912
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.3280 0.7560 0.176 0.000 0.012 0.000 0.812
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.5535 0.2390 0.072 0.536 0.000 0.392 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.2153 0.7261 0.040 0.916 0.000 0.000 0.044
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.0324 0.9156 0.004 0.004 0.000 0.992 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.6282 0.3314 0.496 0.340 0.000 0.000 0.164
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.0963 0.9105 0.000 0.036 0.000 0.964 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.1630 0.7945 0.016 0.000 0.944 0.036 0.004
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.1787 0.9008 0.016 0.000 0.044 0.936 0.004
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.4030 0.5971 0.352 0.000 0.648 0.000 0.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0162 0.8236 0.004 0.000 0.996 0.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.3695 0.7460 0.164 0.000 0.036 0.000 0.800
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.2708 0.7047 0.072 0.884 0.000 0.000 0.044
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.0609 0.9159 0.000 0.020 0.000 0.980 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 1 0.3736 0.5258 0.824 0.072 0.100 0.000 0.004
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.5159 0.4829 0.072 0.000 0.644 0.000 0.284
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.5299 0.2774 0.668 0.000 0.120 0.000 0.212
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.0609 0.9159 0.000 0.020 0.000 0.980 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 5 0.2020 0.8172 0.100 0.000 0.000 0.000 0.900
#> B40B9470-990D-4443-8484-17266E829557 2 0.1281 0.7376 0.012 0.956 0.000 0.000 0.032
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 5 0.2377 0.7722 0.000 0.128 0.000 0.000 0.872
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 1 0.4239 0.4439 0.784 0.004 0.132 0.000 0.080
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 1 0.2866 0.5350 0.872 0.100 0.024 0.000 0.004
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.2046 0.7362 0.068 0.916 0.000 0.000 0.016
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.2654 0.7102 0.064 0.888 0.000 0.048 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 5 0.2249 0.8245 0.096 0.008 0.000 0.000 0.896
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.4133 0.3486 0.744 0.012 0.012 0.000 0.232
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.2067 0.7286 0.048 0.920 0.000 0.000 0.032
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.2726 0.7083 0.064 0.884 0.000 0.052 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.1549 0.7389 0.040 0.944 0.000 0.000 0.016
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.1121 0.8359 0.044 0.000 0.956 0.000 0.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 5 0.2616 0.7860 0.076 0.036 0.000 0.000 0.888
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.6712 0.3312 0.424 0.300 0.000 0.000 0.276
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.1043 0.8360 0.040 0.000 0.960 0.000 0.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 5 0.0693 0.8400 0.008 0.012 0.000 0.000 0.980
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.1282 0.7360 0.004 0.952 0.000 0.000 0.044
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.1041 0.7380 0.004 0.964 0.000 0.000 0.032
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.1701 0.7386 0.048 0.936 0.000 0.000 0.016
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0000 0.8255 0.000 0.000 1.000 0.000 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.1787 0.9008 0.016 0.000 0.044 0.936 0.004
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 4 0.5765 0.3145 0.048 0.024 0.000 0.560 0.368
#> EB5CF362-6974-4137-AC92-2051B1594E13 4 0.0671 0.9123 0.016 0.000 0.000 0.980 0.004
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.0609 0.9159 0.000 0.020 0.000 0.980 0.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 5 0.0290 0.8436 0.000 0.008 0.000 0.000 0.992
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 4 0.1787 0.9008 0.016 0.000 0.044 0.936 0.004
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 4 0.1787 0.9008 0.016 0.000 0.044 0.936 0.004
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.1372 0.8030 0.016 0.000 0.956 0.024 0.004
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.1430 0.7303 0.052 0.944 0.000 0.004 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.1121 0.8359 0.044 0.000 0.956 0.000 0.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.1372 0.8030 0.016 0.000 0.956 0.024 0.004
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.6523 0.4084 0.480 0.232 0.000 0.000 0.288
#> 2C2589E0-2055-43AC-8001-1643839F80D4 3 0.4410 0.4803 0.440 0.000 0.556 0.000 0.004
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.1270 0.8340 0.052 0.000 0.948 0.000 0.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 1 0.6626 0.3635 0.456 0.272 0.000 0.000 0.272
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 1 0.5440 0.5008 0.660 0.184 0.000 0.000 0.156
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 3 0.4410 0.4867 0.440 0.004 0.556 0.000 0.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 4 0.1787 0.9008 0.016 0.000 0.044 0.936 0.004
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.0912 0.7398 0.016 0.972 0.000 0.000 0.012
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#> B0055BFB-D214-4C23-9366-7F909D7630FA 5 0.5277 0.6327 0.108 0.228 0.000 0.000 0.664
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.1893 0.7231 0.048 0.928 0.000 0.000 0.024
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0880 0.8352 0.032 0.000 0.968 0.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.6177 0.3871 0.532 0.304 0.000 0.000 0.164
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.6092 0.4437 0.564 0.256 0.000 0.000 0.180
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 5 0.3758 0.7790 0.088 0.096 0.000 0.000 0.816
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0404 0.8298 0.012 0.000 0.988 0.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.0609 0.9159 0.000 0.020 0.000 0.980 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.0609 0.9159 0.000 0.020 0.000 0.980 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 1 0.2653 0.5201 0.880 0.000 0.096 0.000 0.024
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.1121 0.8359 0.044 0.000 0.956 0.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 1 0.6736 -0.2699 0.460 0.036 0.396 0.108 0.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0880 0.8352 0.032 0.000 0.968 0.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 5 0.0579 0.8417 0.008 0.008 0.000 0.000 0.984
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.3351 0.5441 0.836 0.132 0.004 0.000 0.028
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.1331 0.7360 0.008 0.952 0.000 0.000 0.040
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.3632 0.4109 0.800 0.004 0.176 0.000 0.020
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.1121 0.8359 0.044 0.000 0.956 0.000 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0880 0.8352 0.032 0.000 0.968 0.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 0.2363 0.5557 0.912 0.052 0.024 0.000 0.012
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.5144 -0.1247 0.580 0.016 0.384 0.000 0.020
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.3966 0.6365 0.132 0.796 0.000 0.000 0.072
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 1 0.6300 -0.0684 0.428 0.152 0.000 0.420 0.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 5 0.0880 0.8462 0.032 0.000 0.000 0.000 0.968
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.6100 0.0168 0.388 0.484 0.000 0.000 0.128
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.6528 0.4102 0.480 0.236 0.000 0.000 0.284
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.1357 0.7293 0.048 0.948 0.000 0.004 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.3657 0.6596 0.116 0.820 0.000 0.000 0.064
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.3035 0.5395 0.856 0.112 0.000 0.000 0.032
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.3115 0.6903 0.112 0.852 0.000 0.000 0.036
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.0609 0.9159 0.000 0.020 0.000 0.980 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 1 0.4803 -0.3679 0.500 0.012 0.484 0.000 0.004
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.1626 0.7335 0.016 0.940 0.000 0.000 0.044
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0324 0.8221 0.004 0.000 0.992 0.000 0.004
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.1310 0.7400 0.024 0.956 0.000 0.000 0.020
#> F4142833-0749-44A4-B769-66262AA4A484 5 0.2329 0.8092 0.124 0.000 0.000 0.000 0.876
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.3620 0.8125 0.068 0.108 0.000 0.824 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.1121 0.8359 0.044 0.000 0.956 0.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 1 0.6510 0.1684 0.480 0.296 0.224 0.000 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.4372 0.5841 0.172 0.756 0.000 0.000 0.072
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.1121 0.8359 0.044 0.000 0.956 0.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.0609 0.9159 0.000 0.020 0.000 0.980 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.3037 0.5391 0.864 0.032 0.004 0.000 0.100
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0290 0.9163 0.000 0.008 0.000 0.992 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.3012 0.6970 0.104 0.860 0.000 0.000 0.036
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.1386 0.9048 0.016 0.032 0.000 0.952 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.2852 0.7660 0.172 0.000 0.828 0.000 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.2561 0.8602 0.020 0.096 0.000 0.884 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.1787 0.9008 0.016 0.000 0.044 0.936 0.004
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.6294 0.4435 0.524 0.192 0.000 0.000 0.284
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.1278 0.8060 0.016 0.000 0.960 0.020 0.004
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 5 0.6269 0.3311 0.168 0.000 0.324 0.000 0.508
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.6649 0.3693 0.448 0.284 0.000 0.000 0.268
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.6395 0.1778 0.424 0.408 0.000 0.000 0.168
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 1 0.6497 0.1899 0.524 0.328 0.128 0.020 0.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 5 0.3508 0.6251 0.252 0.000 0.000 0.000 0.748
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.1121 0.8359 0.044 0.000 0.956 0.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.1117 0.7384 0.016 0.964 0.000 0.000 0.020
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.3586 0.6761 0.076 0.828 0.000 0.096 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 5 0.1701 0.8263 0.048 0.016 0.000 0.000 0.936
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0794 0.8343 0.028 0.000 0.972 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.3780 0.5357 0.808 0.060 0.000 0.000 0.132
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.3874 0.44295 0.356 0.636 0.000 0.000 0.000 0.008
#> 27496AAB-AC06-4100-BB41-0029F63CC678 6 0.4847 0.16507 0.444 0.000 0.000 0.000 0.056 0.500
#> 3BBC7540-136B-47C8-9C09-CD423685B742 6 0.6040 -0.07419 0.016 0.408 0.000 0.028 0.076 0.472
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.3053 0.80038 0.168 0.000 0.000 0.000 0.812 0.020
#> 82DA87CF-C067-44B3-A372-ECB056337B08 6 0.3245 0.60791 0.184 0.016 0.004 0.000 0.000 0.796
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0146 0.88683 0.000 0.000 0.996 0.000 0.000 0.004
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.2222 0.84511 0.008 0.000 0.028 0.916 0.024 0.024
#> C590B811-A42F-4ED2-896A-513EFD42D62D 5 0.1910 0.78168 0.000 0.108 0.000 0.000 0.892 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.4082 0.52825 0.728 0.012 0.000 0.000 0.032 0.228
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.2854 0.72213 0.000 0.000 0.792 0.000 0.000 0.208
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.1500 0.77170 0.012 0.000 0.000 0.000 0.936 0.052
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 6 0.7174 -0.00593 0.012 0.180 0.000 0.312 0.076 0.420
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 6 0.4599 0.58604 0.140 0.164 0.000 0.000 0.000 0.696
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0146 0.88503 0.000 0.000 0.996 0.000 0.000 0.004
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 5 0.4191 0.69737 0.284 0.000 0.000 0.000 0.676 0.040
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.0909 0.78528 0.968 0.012 0.000 0.000 0.020 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 6 0.4250 0.58743 0.036 0.012 0.244 0.000 0.000 0.708
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 6 0.4627 0.48517 0.340 0.004 0.004 0.000 0.036 0.616
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.2487 0.75310 0.876 0.092 0.000 0.000 0.000 0.032
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.3969 0.47951 0.332 0.652 0.000 0.000 0.000 0.016
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.2849 0.72067 0.084 0.864 0.000 0.008 0.000 0.044
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.4284 0.32336 0.008 0.000 0.596 0.000 0.012 0.384
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.3917 0.55085 0.024 0.692 0.000 0.000 0.000 0.284
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.1957 0.85223 0.000 0.000 0.888 0.000 0.000 0.112
#> 032E0758-7A5B-405B-88D3-74C527605780 5 0.3930 0.72245 0.064 0.156 0.000 0.000 0.772 0.008
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.3650 0.49438 0.708 0.280 0.000 0.000 0.000 0.012
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.4507 0.61911 0.024 0.736 0.000 0.000 0.076 0.164
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.2222 0.84511 0.008 0.000 0.028 0.916 0.024 0.024
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.1765 0.75254 0.904 0.096 0.000 0.000 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 6 0.6346 0.21031 0.008 0.284 0.000 0.088 0.076 0.544
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.6288 0.57108 0.048 0.036 0.000 0.596 0.088 0.232
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0146 0.88503 0.000 0.000 0.996 0.000 0.000 0.004
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.2964 0.72305 0.004 0.000 0.792 0.000 0.000 0.204
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.3668 0.42223 0.668 0.328 0.000 0.000 0.000 0.004
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.3713 0.76227 0.224 0.000 0.000 0.000 0.744 0.032
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.4172 0.01689 0.528 0.460 0.000 0.000 0.000 0.012
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0551 0.88054 0.000 0.000 0.984 0.004 0.004 0.008
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.0363 0.85790 0.000 0.000 0.000 0.988 0.012 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.1267 0.87934 0.000 0.000 0.940 0.000 0.000 0.060
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0790 0.89235 0.000 0.000 0.968 0.000 0.000 0.032
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 6 0.3868 0.61289 0.200 0.008 0.016 0.008 0.004 0.764
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 3 0.2946 0.79333 0.012 0.000 0.824 0.000 0.004 0.160
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.1124 0.78606 0.956 0.036 0.000 0.000 0.008 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.4829 0.04935 0.544 0.004 0.000 0.000 0.048 0.404
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 5 0.4909 0.71249 0.236 0.012 0.000 0.000 0.664 0.088
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.2288 0.76614 0.004 0.000 0.004 0.000 0.876 0.116
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.7062 0.38560 0.020 0.496 0.000 0.172 0.076 0.236
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.3312 0.67205 0.180 0.792 0.000 0.000 0.000 0.028
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.0520 0.85974 0.000 0.008 0.000 0.984 0.008 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.2136 0.77581 0.904 0.048 0.000 0.000 0.000 0.048
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.1594 0.85378 0.000 0.052 0.000 0.932 0.000 0.016
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.2961 0.80833 0.008 0.000 0.872 0.068 0.024 0.028
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.2059 0.84705 0.008 0.000 0.024 0.924 0.024 0.020
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 6 0.3737 0.38255 0.000 0.000 0.392 0.000 0.000 0.608
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0146 0.88683 0.000 0.000 0.996 0.000 0.000 0.004
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.2196 0.77207 0.004 0.000 0.004 0.000 0.884 0.108
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.4186 0.62491 0.192 0.728 0.000 0.000 0.000 0.080
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.1124 0.85955 0.000 0.036 0.000 0.956 0.000 0.008
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 6 0.4423 0.59045 0.232 0.024 0.028 0.000 0.004 0.712
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.5724 0.33407 0.008 0.000 0.528 0.000 0.312 0.152
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 6 0.4992 0.54218 0.208 0.000 0.012 0.000 0.112 0.668
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.1320 0.85868 0.000 0.036 0.000 0.948 0.000 0.016
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 5 0.4516 0.69170 0.260 0.000 0.000 0.000 0.668 0.072
#> B40B9470-990D-4443-8484-17266E829557 2 0.2100 0.71301 0.112 0.884 0.000 0.000 0.000 0.004
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 5 0.2956 0.76779 0.040 0.120 0.000 0.000 0.840 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 6 0.4865 0.49304 0.288 0.000 0.016 0.000 0.056 0.640
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 6 0.3888 0.56539 0.252 0.032 0.000 0.000 0.000 0.716
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.3679 0.68212 0.176 0.772 0.000 0.000 0.000 0.052
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.5097 0.61194 0.024 0.712 0.000 0.024 0.076 0.164
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 5 0.2307 0.79278 0.004 0.032 0.000 0.000 0.896 0.068
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 6 0.4922 0.47186 0.284 0.008 0.000 0.000 0.076 0.632
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.3424 0.66984 0.204 0.772 0.000 0.000 0.000 0.024
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.5254 0.57319 0.016 0.684 0.000 0.028 0.076 0.196
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.4881 0.68834 0.108 0.716 0.000 0.000 0.036 0.140
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.2527 0.78559 0.000 0.000 0.832 0.000 0.000 0.168
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 5 0.5229 0.60614 0.320 0.032 0.000 0.000 0.596 0.052
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.1088 0.78568 0.960 0.024 0.000 0.000 0.016 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0713 0.89173 0.000 0.000 0.972 0.000 0.000 0.028
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 5 0.2527 0.80276 0.168 0.000 0.000 0.000 0.832 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.2389 0.70762 0.128 0.864 0.000 0.000 0.000 0.008
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.2218 0.71305 0.104 0.884 0.000 0.000 0.000 0.012
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.3280 0.70318 0.152 0.812 0.000 0.000 0.004 0.032
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0000 0.88620 0.000 0.000 1.000 0.000 0.000 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.2521 0.84351 0.008 0.004 0.028 0.904 0.024 0.032
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#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.3453 0.71136 0.824 0.012 0.000 0.000 0.064 0.100
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.1225 0.85932 0.000 0.036 0.000 0.952 0.000 0.012
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 6 0.3974 0.59707 0.184 0.012 0.000 0.036 0.004 0.764
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 1 0.2724 0.75963 0.876 0.032 0.000 0.000 0.016 0.076
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 6 0.6758 0.31682 0.072 0.268 0.000 0.000 0.188 0.472
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.6724 0.39465 0.156 0.516 0.000 0.000 0.220 0.108
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0790 0.89235 0.000 0.000 0.968 0.000 0.000 0.032
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 6 0.3547 0.48495 0.000 0.000 0.332 0.000 0.000 0.668
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.3441 0.72341 0.832 0.072 0.000 0.000 0.020 0.076
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 1 0.1636 0.78318 0.936 0.036 0.000 0.000 0.004 0.024
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 1 0.1982 0.76360 0.912 0.016 0.000 0.000 0.004 0.068
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 6 0.3772 0.53683 0.296 0.000 0.004 0.000 0.008 0.692
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0146 0.88683 0.000 0.000 0.996 0.000 0.000 0.004
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 5 0.2101 0.77628 0.004 0.000 0.004 0.000 0.892 0.100
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.3524 0.78838 0.000 0.064 0.000 0.832 0.068 0.036
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.2843 0.70459 0.116 0.848 0.000 0.000 0.000 0.036
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 5 0.2113 0.78503 0.008 0.004 0.000 0.000 0.896 0.092
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.6309 0.48642 0.016 0.592 0.000 0.096 0.076 0.220
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.3003 0.67750 0.172 0.812 0.000 0.000 0.000 0.016
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 5 0.1910 0.81768 0.108 0.000 0.000 0.000 0.892 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.2446 0.70504 0.124 0.864 0.000 0.000 0.000 0.012
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.0458 0.86090 0.000 0.016 0.000 0.984 0.000 0.000
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 6 0.2923 0.65354 0.024 0.000 0.108 0.008 0.004 0.856
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.0820 0.78542 0.972 0.012 0.000 0.000 0.016 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.2302 0.84359 0.008 0.000 0.028 0.912 0.024 0.028
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0713 0.89173 0.000 0.000 0.972 0.000 0.000 0.028
#> 8291A898-F097-4009-B0DB-ACB61493263B 6 0.3895 0.54421 0.016 0.000 0.284 0.000 0.004 0.696
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.5321 0.59759 0.140 0.688 0.000 0.000 0.076 0.096
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0790 0.89235 0.000 0.000 0.968 0.000 0.000 0.032
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.0405 0.85916 0.000 0.004 0.000 0.988 0.008 0.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 6 0.7407 -0.15807 0.068 0.088 0.000 0.372 0.076 0.396
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.4976 0.59947 0.012 0.708 0.000 0.024 0.076 0.180
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 6 0.6552 -0.08228 0.012 0.400 0.004 0.064 0.076 0.444
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.1007 0.88825 0.000 0.000 0.956 0.000 0.000 0.044
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.2146 0.84369 0.004 0.000 0.880 0.000 0.000 0.116
#> B0055BFB-D214-4C23-9366-7F909D7630FA 5 0.6052 0.31446 0.052 0.368 0.000 0.000 0.492 0.088
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.2309 0.71345 0.084 0.888 0.000 0.000 0.000 0.028
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0790 0.89235 0.000 0.000 0.968 0.000 0.000 0.032
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.2085 0.77046 0.912 0.024 0.000 0.000 0.008 0.056
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.2380 0.76980 0.900 0.016 0.000 0.000 0.036 0.048
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 5 0.2214 0.78622 0.000 0.096 0.000 0.000 0.888 0.016
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0260 0.88808 0.000 0.000 0.992 0.000 0.000 0.008
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.1049 0.85937 0.000 0.032 0.000 0.960 0.000 0.008
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.1124 0.85955 0.000 0.036 0.000 0.956 0.000 0.008
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 6 0.4697 0.45494 0.348 0.000 0.004 0.000 0.048 0.600
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0790 0.89235 0.000 0.000 0.968 0.000 0.000 0.032
#> EFA48913-D0BD-4530-A445-C327A89CE956 6 0.5286 0.55613 0.016 0.068 0.048 0.048 0.072 0.748
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0790 0.89235 0.000 0.000 0.968 0.000 0.000 0.032
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 5 0.2597 0.79919 0.176 0.000 0.000 0.000 0.824 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.4310 -0.08740 0.512 0.012 0.000 0.000 0.004 0.472
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.2234 0.70730 0.124 0.872 0.000 0.000 0.000 0.004
#> 2798DEF8-A841-4068-B3FC-76D57605235A 6 0.4815 0.51846 0.272 0.000 0.020 0.000 0.052 0.656
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.1814 0.85632 0.000 0.000 0.900 0.000 0.000 0.100
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0790 0.89235 0.000 0.000 0.968 0.000 0.000 0.032
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 6 0.4176 0.56595 0.232 0.036 0.000 0.000 0.012 0.720
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 6 0.5778 0.60388 0.128 0.024 0.132 0.000 0.048 0.668
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.4101 0.32506 0.408 0.580 0.000 0.000 0.000 0.012
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 6 0.8294 -0.02281 0.116 0.204 0.000 0.256 0.076 0.348
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 5 0.2667 0.81365 0.128 0.000 0.000 0.000 0.852 0.020
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.1983 0.76403 0.908 0.072 0.000 0.000 0.000 0.020
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.1980 0.77006 0.920 0.008 0.000 0.000 0.036 0.036
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.3174 0.70265 0.040 0.840 0.000 0.000 0.012 0.108
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.3965 0.37630 0.388 0.604 0.000 0.000 0.000 0.008
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.4226 0.16687 0.580 0.012 0.000 0.000 0.004 0.404
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.4210 0.49294 0.336 0.636 0.000 0.000 0.000 0.028
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.1225 0.85932 0.000 0.036 0.000 0.952 0.000 0.012
#> 0B400F91-2355-43AB-AA86-725C21352AB7 6 0.4769 0.59092 0.060 0.020 0.204 0.000 0.008 0.708
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.2692 0.69305 0.148 0.840 0.000 0.000 0.000 0.012
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0146 0.88503 0.000 0.000 0.996 0.000 0.000 0.004
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.2586 0.71916 0.100 0.868 0.000 0.000 0.000 0.032
#> F4142833-0749-44A4-B769-66262AA4A484 5 0.2163 0.77976 0.008 0.000 0.004 0.000 0.892 0.096
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.6998 0.32279 0.004 0.236 0.000 0.456 0.076 0.228
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0790 0.89235 0.000 0.000 0.968 0.000 0.000 0.032
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 6 0.3608 0.61854 0.024 0.112 0.048 0.000 0.000 0.816
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.4263 0.08810 0.480 0.504 0.000 0.000 0.000 0.016
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.2003 0.84257 0.000 0.000 0.884 0.000 0.000 0.116
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.1320 0.85868 0.000 0.036 0.000 0.948 0.000 0.016
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.4720 0.09356 0.560 0.000 0.000 0.000 0.052 0.388
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0909 0.86135 0.000 0.020 0.000 0.968 0.000 0.012
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.4109 0.50299 0.328 0.648 0.000 0.000 0.000 0.024
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.5118 0.67879 0.000 0.104 0.000 0.708 0.068 0.120
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.4535 0.11753 0.016 0.000 0.548 0.000 0.012 0.424
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.6150 0.48808 0.000 0.236 0.000 0.572 0.068 0.124
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.2521 0.84248 0.008 0.004 0.028 0.904 0.024 0.032
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.1624 0.77662 0.936 0.012 0.000 0.000 0.044 0.008
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.2522 0.83280 0.008 0.000 0.900 0.040 0.024 0.028
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 5 0.5539 0.41091 0.008 0.000 0.292 0.000 0.564 0.136
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.1585 0.78398 0.940 0.036 0.000 0.000 0.012 0.012
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.2633 0.74379 0.864 0.104 0.000 0.000 0.000 0.032
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 6 0.4284 0.62058 0.052 0.140 0.028 0.008 0.000 0.772
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 5 0.5322 0.27120 0.424 0.000 0.000 0.000 0.472 0.104
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.1814 0.85494 0.000 0.000 0.900 0.000 0.000 0.100
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.2053 0.71413 0.108 0.888 0.000 0.000 0.000 0.004
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.6146 0.50917 0.020 0.608 0.000 0.072 0.076 0.224
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 5 0.4086 0.75821 0.220 0.004 0.000 0.000 0.728 0.048
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0790 0.89235 0.000 0.000 0.968 0.000 0.000 0.032
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.4183 0.50896 0.692 0.004 0.000 0.000 0.036 0.268
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 17395 rows and 473 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 0.687 0.843 0.933 0.4992 0.502 0.502
#> 3 3 0.608 0.576 0.809 0.3180 0.724 0.505
#> 4 4 0.778 0.769 0.897 0.1336 0.804 0.502
#> 5 5 0.828 0.812 0.901 0.0638 0.894 0.625
#> 6 6 0.760 0.680 0.822 0.0407 0.929 0.687
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
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.0000 0.9175 1.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.9393 0.3867 0.644 0.356
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0000 0.9337 0.000 1.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.9175 1.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0000 0.9337 0.000 1.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.0000 0.9337 0.000 1.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.0000 0.9337 0.000 1.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.9175 1.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.5294 0.8310 0.880 0.120
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.0000 0.9337 0.000 1.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0376 0.9147 0.996 0.004
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0000 0.9337 0.000 1.000
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#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.0000 0.9175 1.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 1 0.8661 0.6445 0.712 0.288
#> 4877594A-03A8-4407-8F21-C133460DA44D 1 0.0000 0.9175 1.000 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0000 0.9175 1.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.0000 0.9175 1.000 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 1 0.8499 0.6630 0.724 0.276
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.0000 0.9337 0.000 1.000
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.0000 0.9175 1.000 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.0000 0.9337 0.000 1.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 2 0.0000 0.9337 0.000 1.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.0000 0.9337 0.000 1.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 0.0000 0.9175 1.000 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 2 0.0000 0.9337 0.000 1.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.0000 0.9337 0.000 1.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 1 0.4022 0.8600 0.920 0.080
#> D7791F51-5151-4E21-802F-F61EE07D626F 1 0.0000 0.9175 1.000 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.0000 0.9337 0.000 1.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 2 0.0000 0.9337 0.000 1.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 2 0.0000 0.9337 0.000 1.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.0000 0.9175 1.000 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 1 0.0000 0.9175 1.000 0.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 2 0.0000 0.9337 0.000 1.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.0000 0.9175 1.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.0000 0.9175 1.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.0000 0.9175 1.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 2 0.0000 0.9337 0.000 1.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 1 0.7299 0.7526 0.796 0.204
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.0000 0.9337 0.000 1.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.8499 0.6284 0.276 0.724
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.0000 0.9337 0.000 1.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.0000 0.9337 0.000 1.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 2 0.0000 0.9337 0.000 1.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0000 0.9175 1.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.8499 0.5754 0.724 0.276
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 1 0.0000 0.9175 1.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.7219 0.7345 0.200 0.800
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 2 0.0000 0.9337 0.000 1.000
#> E5D94733-7D43-4021-8F57-4426EF183682 2 0.0000 0.9337 0.000 1.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.9983 0.1787 0.476 0.524
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.9044 0.5551 0.320 0.680
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.0000 0.9175 1.000 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 1 0.0672 0.9128 0.992 0.008
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0000 0.9175 1.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.0000 0.9175 1.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.0000 0.9175 1.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 1 0.7219 0.7569 0.800 0.200
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.0000 0.9175 1.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.0672 0.9128 0.992 0.008
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.0000 0.9175 1.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 1 0.8499 0.6630 0.724 0.276
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.0000 0.9337 0.000 1.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.0000 0.9175 1.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.0000 0.9337 0.000 1.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.0376 0.9151 0.996 0.004
#> F4142833-0749-44A4-B769-66262AA4A484 2 0.9993 0.1520 0.484 0.516
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.0000 0.9337 0.000 1.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.0000 0.9337 0.000 1.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.0000 0.9337 0.000 1.000
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.0000 0.9175 1.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.0000 0.9337 0.000 1.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 1 0.8555 0.6570 0.720 0.280
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.9988 0.1657 0.480 0.520
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.0000 0.9337 0.000 1.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.0000 0.9175 1.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 1 0.8661 0.6445 0.712 0.288
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.0000 0.9337 0.000 1.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 1 0.8499 0.6630 0.724 0.276
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.0000 0.9337 0.000 1.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.0000 0.9175 1.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.0000 0.9337 0.000 1.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 2 0.7219 0.7345 0.200 0.800
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.0000 0.9175 1.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.0000 0.9175 1.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.0000 0.9337 0.000 1.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0000 0.9175 1.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.0000 0.9337 0.000 1.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.0000 0.9175 1.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 1 0.8555 0.6570 0.720 0.280
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0000 0.9175 1.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.0000 0.9337 0.000 1.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.0000 0.9175 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.6154 0.5930 0.408 0.592 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.4555 0.5868 0.800 0.000 0.200
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0592 0.6131 0.000 0.988 0.012
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.7057 1.000 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.1163 0.8286 0.000 0.028 0.972
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.8505 0.000 0.000 1.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.6154 0.5441 0.000 0.408 0.592
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.7057 1.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.6286 -0.3168 0.536 0.464 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0000 0.8505 0.000 0.000 1.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.5529 0.4219 0.704 0.296 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 3 0.6154 0.5441 0.000 0.408 0.592
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.5926 0.3468 0.000 0.356 0.644
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.8505 0.000 0.000 1.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0000 0.7057 1.000 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.6126 -0.1339 0.600 0.400 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.0000 0.8505 0.000 0.000 1.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 3 0.8307 0.3990 0.176 0.192 0.632
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.6154 0.5930 0.408 0.592 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.6154 0.5930 0.408 0.592 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.2066 0.6163 0.060 0.940 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.0000 0.8505 0.000 0.000 1.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.7388 0.5754 0.356 0.600 0.044
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.8505 0.000 0.000 1.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0000 0.7057 1.000 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.6154 0.5930 0.408 0.592 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.6140 0.5939 0.404 0.596 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 3 0.6154 0.5441 0.000 0.408 0.592
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.6154 0.5930 0.408 0.592 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 3 0.6154 0.5441 0.000 0.408 0.592
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.9522 -0.1607 0.404 0.408 0.188
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.8505 0.000 0.000 1.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0000 0.8505 0.000 0.000 1.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.6154 0.5930 0.408 0.592 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0000 0.7057 1.000 0.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.6154 0.5930 0.408 0.592 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0000 0.8505 0.000 0.000 1.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 3 0.6154 0.5441 0.000 0.408 0.592
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0000 0.8505 0.000 0.000 1.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0000 0.8505 0.000 0.000 1.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.0000 0.8505 0.000 0.000 1.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 3 0.5216 0.5405 0.260 0.000 0.740
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.6299 -0.3488 0.524 0.476 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.9627 0.0388 0.204 0.400 0.396
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.0000 0.7057 1.000 0.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.5810 0.4120 0.664 0.000 0.336
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.0000 0.6165 0.000 1.000 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.6154 0.5930 0.408 0.592 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.3038 0.5255 0.000 0.896 0.104
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.6154 0.5930 0.408 0.592 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.0000 0.6165 0.000 1.000 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.0000 0.8505 0.000 0.000 1.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 3 0.6154 0.5441 0.000 0.408 0.592
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.0000 0.8505 0.000 0.000 1.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0000 0.8505 0.000 0.000 1.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.6154 0.2809 0.592 0.000 0.408
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.1289 0.6760 0.968 0.032 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.0000 0.6165 0.000 1.000 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 3 0.4399 0.6596 0.000 0.188 0.812
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.6126 0.2531 0.400 0.000 0.600
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.6154 0.2809 0.592 0.000 0.408
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.0000 0.6165 0.000 1.000 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.0000 0.7057 1.000 0.000 0.000
#> B40B9470-990D-4443-8484-17266E829557 2 0.6154 0.5930 0.408 0.592 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.0000 0.7057 1.000 0.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 1 0.6154 0.2809 0.592 0.000 0.408
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 3 0.6008 0.3073 0.000 0.372 0.628
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.6154 0.5930 0.408 0.592 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.0000 0.6165 0.000 1.000 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0000 0.7057 1.000 0.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.6126 0.2975 0.600 0.000 0.400
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.6154 0.5930 0.408 0.592 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.0000 0.6165 0.000 1.000 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.6154 0.5930 0.408 0.592 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.0000 0.8505 0.000 0.000 1.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.0000 0.7057 1.000 0.000 0.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.6180 0.5804 0.416 0.584 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0000 0.8505 0.000 0.000 1.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.0000 0.7057 1.000 0.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.6154 0.5930 0.408 0.592 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.6154 0.5930 0.408 0.592 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.6154 0.5930 0.408 0.592 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0000 0.8505 0.000 0.000 1.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 3 0.6154 0.5441 0.000 0.408 0.592
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 1 0.6154 0.2973 0.592 0.408 0.000
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.6286 -0.3171 0.000 0.536 0.464
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 2 0.0000 0.6165 0.000 1.000 0.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0000 0.7057 1.000 0.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 3 0.6154 0.5441 0.000 0.408 0.592
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 3 0.6154 0.5441 0.000 0.408 0.592
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.0000 0.8505 0.000 0.000 1.000
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.6126 0.5949 0.400 0.600 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.0000 0.8505 0.000 0.000 1.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.0000 0.8505 0.000 0.000 1.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.0000 0.7057 1.000 0.000 0.000
#> 2C2589E0-2055-43AC-8001-1643839F80D4 3 0.0000 0.8505 0.000 0.000 1.000
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.0000 0.8505 0.000 0.000 1.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 1 0.1031 0.6838 0.976 0.024 0.000
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#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.0000 0.6165 0.000 1.000 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.6062 0.3276 0.616 0.000 0.384
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.6154 0.5441 0.000 0.408 0.592
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.6154 0.5930 0.408 0.592 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.0000 0.6165 0.000 1.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.0000 0.8505 0.000 0.000 1.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.0000 0.6165 0.000 1.000 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.6154 0.5441 0.000 0.408 0.592
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.0000 0.7057 1.000 0.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0000 0.8505 0.000 0.000 1.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.6168 0.2720 0.588 0.000 0.412
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.6192 -0.1904 0.580 0.420 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.6168 0.5869 0.412 0.588 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.3816 0.7044 0.148 0.000 0.852
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0000 0.7057 1.000 0.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0000 0.8505 0.000 0.000 1.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.6154 0.5930 0.408 0.592 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.0000 0.6165 0.000 1.000 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0000 0.7057 1.000 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.8505 0.000 0.000 1.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.0000 0.7057 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.0000 0.82524 1.000 0.000 0.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.6642 0.00436 0.000 0.492 0.084 0.424
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.82524 1.000 0.000 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.4222 0.60178 0.000 0.272 0.728 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.2921 0.74890 0.860 0.140 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.4843 0.54572 0.396 0.604 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.1940 0.78755 0.924 0.000 0.000 0.076
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.4866 0.30543 0.000 0.404 0.596 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0000 0.82524 1.000 0.000 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.4843 0.54572 0.396 0.604 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 3 0.4916 0.24753 0.000 0.424 0.576 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.2868 0.76392 0.136 0.864 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.3649 0.69356 0.796 0.204 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.2760 0.76774 0.128 0.872 0.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.3528 0.73305 0.192 0.808 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.3975 0.63027 0.240 0.000 0.000 0.760
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0000 0.82524 1.000 0.000 0.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 3 0.3610 0.69359 0.200 0.000 0.800 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.4843 0.54572 0.396 0.604 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.5016 0.54176 0.396 0.600 0.004 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.0000 0.82524 1.000 0.000 0.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.1792 0.80002 0.932 0.000 0.068 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.3528 0.73303 0.192 0.808 0.000 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.0707 0.91411 0.000 0.020 0.000 0.980
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.3688 0.69464 0.792 0.000 0.208 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.4855 0.14101 0.400 0.600 0.000 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 3 0.3975 0.65782 0.000 0.240 0.760 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.4697 0.37111 0.356 0.000 0.644 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.4855 0.37101 0.600 0.000 0.400 0.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.0000 0.82524 1.000 0.000 0.000 0.000
#> B40B9470-990D-4443-8484-17266E829557 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.3610 0.69780 0.800 0.200 0.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 1 0.4855 0.37101 0.600 0.000 0.400 0.000
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.4866 0.31023 0.000 0.596 0.404 0.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0336 0.82267 0.992 0.008 0.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.2081 0.79210 0.916 0.000 0.084 0.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 4 0.4941 0.33399 0.000 0.436 0.000 0.564
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.0000 0.82524 1.000 0.000 0.000 0.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.4843 0.54572 0.396 0.604 0.000 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.0000 0.82524 1.000 0.000 0.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 4 0.4985 0.07510 0.468 0.000 0.000 0.532
#> EB5CF362-6974-4137-AC92-2051B1594E13 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0000 0.82524 1.000 0.000 0.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.3688 0.57475 0.792 0.208 0.000 0.000
#> 2C2589E0-2055-43AC-8001-1643839F80D4 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 1 0.3649 0.58201 0.796 0.204 0.000 0.000
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 2 0.4941 0.47237 0.436 0.564 0.000 0.000
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 2 0.4866 0.13605 0.404 0.596 0.000 0.000
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 1 0.4855 0.37101 0.600 0.000 0.400 0.000
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 1 0.0000 0.82524 1.000 0.000 0.000 0.000
#> A3AC663C-1578-4946-AED3-2FF9A739168E 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.0336 0.80806 0.000 0.992 0.008 0.000
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.1557 0.88683 0.056 0.000 0.944 0.000
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 2 0.5150 0.53772 0.396 0.596 0.008 0.000
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 4ED692EB-E194-49D7-9222-6232051426E5 4 0.0592 0.91693 0.000 0.016 0.000 0.984
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 1 0.3569 0.59599 0.804 0.196 0.000 0.000
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 2 0.1211 0.80110 0.040 0.960 0.000 0.000
#> 64B33223-EB30-49ED-A3D8-5AC598845465 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 21599029-B6C9-4385-B87C-FDB99F956118 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 4 0.0000 0.92796 0.000 0.000 0.000 1.000
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 2 0.1389 0.79868 0.048 0.952 0.000 0.000
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 4 0.0188 0.92549 0.000 0.004 0.000 0.996
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 4 0.0336 0.92281 0.000 0.008 0.000 0.992
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 1 0.4855 0.39670 0.600 0.400 0.000 0.000
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 8902E88F-181A-46FE-9C80-F11C107B33E4 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> 24F2D373-AE15-47B0-8F1B-740426145C2C 2 0.4843 0.54572 0.396 0.604 0.000 0.000
#> A154A921-EB14-48DF-BF70-AE765CCE5CAB 1 0.0000 0.82524 1.000 0.000 0.000 0.000
#> D508AD79-2273-4E78-A6EE-97FBAAC7E851 2 0.0000 0.81158 0.000 1.000 0.000 0.000
#> 023D7F8E-5BD5-4AE8-8A7F-1851AA7F228A 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 3BDE962B-6791-40BC-B3AA-C4D527FFEF22 1 0.0000 0.82524 1.000 0.000 0.000 0.000
#> 2F2D34BA-A568-470E-B0D9-5875E897FF39 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 6DB55201-3973-4650-842E-842D5869C567 1 0.0000 0.82524 1.000 0.000 0.000 0.000
#> 258CFB91-4E4F-48F9-A483-9F6C4CFF0D3C 3 0.0000 0.94225 0.000 0.000 1.000 0.000
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#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.94225 0.000 0.000 1.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.0000 0.82524 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.3143 0.72165 0.204 0.796 0.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 5 0.1410 0.80053 0.060 0.000 0.000 0.000 0.940
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.3036 0.83877 0.004 0.876 0.068 0.004 0.048
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.3210 0.76123 0.212 0.000 0.000 0.000 0.788
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.3774 0.58588 0.296 0.000 0.704 0.000 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0290 0.93009 0.000 0.000 0.992 0.000 0.008
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0290 0.94521 0.000 0.000 0.000 0.992 0.008
#> C590B811-A42F-4ED2-896A-513EFD42D62D 5 0.2270 0.79376 0.020 0.076 0.000 0.000 0.904
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.0404 0.89393 0.988 0.000 0.000 0.000 0.012
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0000 0.93187 0.000 0.000 1.000 0.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.0992 0.79518 0.024 0.000 0.000 0.008 0.968
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.1662 0.92575 0.004 0.004 0.000 0.936 0.056
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.5883 0.19650 0.000 0.388 0.508 0.000 0.104
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0290 0.93009 0.000 0.000 0.992 0.000 0.008
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 5 0.4249 0.47409 0.432 0.000 0.000 0.000 0.568
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.0162 0.89566 0.996 0.000 0.000 0.000 0.004
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.0404 0.92573 0.000 0.000 0.988 0.000 0.012
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.5700 0.46581 0.600 0.000 0.280 0.000 0.120
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.0703 0.88877 0.976 0.024 0.000 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.3752 0.58509 0.292 0.708 0.000 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0162 0.89657 0.004 0.996 0.000 0.000 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.0290 0.92839 0.000 0.000 0.992 0.000 0.008
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0000 0.89636 0.000 1.000 0.000 0.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.93187 0.000 0.000 1.000 0.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 5 0.3732 0.74498 0.032 0.176 0.000 0.000 0.792
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.1341 0.86970 0.944 0.056 0.000 0.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0404 0.89461 0.000 0.988 0.000 0.000 0.012
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.0290 0.94521 0.000 0.000 0.000 0.992 0.008
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.0162 0.89538 0.996 0.004 0.000 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.1805 0.92208 0.004 0.004 0.008 0.936 0.048
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.3003 0.73810 0.000 0.000 0.000 0.812 0.188
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0290 0.93009 0.000 0.000 0.992 0.000 0.008
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0000 0.93187 0.000 0.000 1.000 0.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.2127 0.82946 0.892 0.108 0.000 0.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.4114 0.57997 0.376 0.000 0.000 0.000 0.624
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.2852 0.77333 0.828 0.172 0.000 0.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0290 0.93009 0.000 0.000 0.992 0.000 0.008
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.0162 0.94579 0.000 0.000 0.000 0.996 0.004
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0290 0.93009 0.000 0.000 0.992 0.000 0.008
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0000 0.93187 0.000 0.000 1.000 0.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.3124 0.80117 0.144 0.000 0.840 0.008 0.008
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 3 0.3242 0.67624 0.000 0.000 0.784 0.000 0.216
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.0162 0.89538 0.996 0.004 0.000 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.2424 0.81580 0.868 0.000 0.000 0.000 0.132
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 5 0.3109 0.76899 0.200 0.000 0.000 0.000 0.800
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.1568 0.79693 0.020 0.000 0.036 0.000 0.944
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.3234 0.84520 0.004 0.092 0.000 0.856 0.048
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0510 0.89416 0.016 0.984 0.000 0.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.0000 0.94615 0.000 0.000 0.000 1.000 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.0510 0.89204 0.984 0.016 0.000 0.000 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.0671 0.93913 0.000 0.016 0.000 0.980 0.004
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.2563 0.82250 0.000 0.000 0.872 0.120 0.008
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.0290 0.94521 0.000 0.000 0.000 0.992 0.008
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.0000 0.93187 0.000 0.000 1.000 0.000 0.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0290 0.93009 0.000 0.000 0.992 0.000 0.008
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.1732 0.78454 0.000 0.000 0.080 0.000 0.920
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.4367 0.08606 0.004 0.580 0.000 0.000 0.416
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.0162 0.94609 0.000 0.000 0.000 0.996 0.004
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 3 0.5163 0.50389 0.296 0.000 0.636 0.000 0.068
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.4249 0.14066 0.000 0.000 0.568 0.000 0.432
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 5 0.4126 0.45881 0.000 0.000 0.380 0.000 0.620
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.0162 0.94609 0.000 0.000 0.000 0.996 0.004
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 5 0.3109 0.76933 0.200 0.000 0.000 0.000 0.800
#> B40B9470-990D-4443-8484-17266E829557 2 0.0162 0.89657 0.004 0.996 0.000 0.000 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 5 0.3368 0.75850 0.024 0.156 0.000 0.000 0.820
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 5 0.3636 0.61053 0.000 0.000 0.272 0.000 0.728
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 1 0.5672 0.40905 0.584 0.000 0.312 0.000 0.104
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0404 0.89528 0.012 0.988 0.000 0.000 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.1644 0.88082 0.004 0.940 0.000 0.008 0.048
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 5 0.1549 0.79754 0.016 0.040 0.000 0.000 0.944
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 5 0.1568 0.79698 0.020 0.000 0.036 0.000 0.944
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0609 0.89281 0.020 0.980 0.000 0.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.1644 0.88082 0.004 0.940 0.000 0.008 0.048
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.0162 0.89657 0.004 0.996 0.000 0.000 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.0000 0.93187 0.000 0.000 1.000 0.000 0.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 5 0.3895 0.65415 0.320 0.000 0.000 0.000 0.680
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.0162 0.89566 0.996 0.000 0.000 0.000 0.004
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0000 0.93187 0.000 0.000 1.000 0.000 0.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 5 0.3074 0.77140 0.196 0.000 0.000 0.000 0.804
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.0162 0.89657 0.004 0.996 0.000 0.000 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.0162 0.89657 0.004 0.996 0.000 0.000 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.0290 0.89611 0.008 0.992 0.000 0.000 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0290 0.93009 0.000 0.000 0.992 0.000 0.008
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.0290 0.94521 0.000 0.000 0.000 0.992 0.008
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 4 0.4192 0.23653 0.000 0.000 0.000 0.596 0.404
#> EB5CF362-6974-4137-AC92-2051B1594E13 4 0.0290 0.94521 0.000 0.000 0.000 0.992 0.008
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.0000 0.94615 0.000 0.000 0.000 1.000 0.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 5 0.2891 0.78115 0.176 0.000 0.000 0.000 0.824
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 4 0.0290 0.94521 0.000 0.000 0.000 0.992 0.008
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 4 0.0290 0.94521 0.000 0.000 0.000 0.992 0.008
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.0898 0.91795 0.000 0.000 0.972 0.020 0.008
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.0000 0.89636 0.000 1.000 0.000 0.000 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.0000 0.93187 0.000 0.000 1.000 0.000 0.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.0451 0.92847 0.000 0.000 0.988 0.004 0.008
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.0162 0.89566 0.996 0.000 0.000 0.000 0.004
#> 2C2589E0-2055-43AC-8001-1643839F80D4 3 0.0162 0.93037 0.000 0.000 0.996 0.000 0.004
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.0000 0.93187 0.000 0.000 1.000 0.000 0.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 1 0.3074 0.64480 0.804 0.000 0.000 0.000 0.196
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 1 0.0880 0.88633 0.968 0.000 0.000 0.000 0.032
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 3 0.0000 0.93187 0.000 0.000 1.000 0.000 0.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 4 0.0290 0.94521 0.000 0.000 0.000 0.992 0.008
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.0000 0.89636 0.000 1.000 0.000 0.000 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 5 0.6738 0.27504 0.320 0.272 0.000 0.000 0.408
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.0000 0.89636 0.000 1.000 0.000 0.000 0.000
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 5 0.4150 0.44965 0.000 0.000 0.388 0.000 0.612
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 3 0.1478 0.88774 0.000 0.000 0.936 0.000 0.064
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 4 0.0162 0.94609 0.000 0.000 0.000 0.996 0.004
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 2 0.0404 0.89528 0.012 0.988 0.000 0.000 0.000
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 5 0.4268 0.44760 0.444 0.000 0.000 0.000 0.556
#> A3AC663C-1578-4946-AED3-2FF9A739168E 4 0.0000 0.94615 0.000 0.000 0.000 1.000 0.000
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.1498 0.88415 0.008 0.952 0.016 0.000 0.024
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 3 0.0451 0.92847 0.000 0.000 0.988 0.004 0.008
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.3336 0.65975 0.000 0.000 0.772 0.000 0.228
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.0000 0.93187 0.000 0.000 1.000 0.000 0.000
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 2 0.0000 0.89636 0.000 1.000 0.000 0.000 0.000
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.0451 0.92847 0.000 0.000 0.988 0.004 0.008
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 1 0.2424 0.81580 0.868 0.000 0.000 0.000 0.132
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 4 0.0000 0.94615 0.000 0.000 0.000 1.000 0.000
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.0000 0.93187 0.000 0.000 1.000 0.000 0.000
#> 4ED692EB-E194-49D7-9222-6232051426E5 2 0.4109 0.74592 0.004 0.780 0.000 0.168 0.048
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 1 0.0880 0.87803 0.968 0.000 0.000 0.000 0.032
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.0451 0.92847 0.000 0.000 0.988 0.004 0.008
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 1 0.4045 0.41687 0.644 0.356 0.000 0.000 0.000
#> 64B33223-EB30-49ED-A3D8-5AC598845465 3 0.0000 0.93187 0.000 0.000 1.000 0.000 0.000
#> 21599029-B6C9-4385-B87C-FDB99F956118 3 0.0451 0.92847 0.000 0.000 0.988 0.004 0.008
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 4 0.0162 0.94609 0.000 0.000 0.000 0.996 0.004
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 3 0.0000 0.93187 0.000 0.000 1.000 0.000 0.000
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 1 0.1341 0.86808 0.944 0.056 0.000 0.000 0.000
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 4 0.0162 0.94609 0.000 0.000 0.000 0.996 0.004
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 2 0.4457 0.68704 0.004 0.740 0.000 0.208 0.048
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 5 0.4415 0.46281 0.008 0.388 0.000 0.000 0.604
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 3 0.0451 0.92847 0.000 0.000 0.988 0.004 0.008
#> 8902E88F-181A-46FE-9C80-F11C107B33E4 2 0.0000 0.89636 0.000 1.000 0.000 0.000 0.000
#> 24F2D373-AE15-47B0-8F1B-740426145C2C 1 0.0162 0.89566 0.996 0.000 0.000 0.000 0.004
#> A154A921-EB14-48DF-BF70-AE765CCE5CAB 5 0.3932 0.64657 0.328 0.000 0.000 0.000 0.672
#> D508AD79-2273-4E78-A6EE-97FBAAC7E851 2 0.1851 0.84672 0.088 0.912 0.000 0.000 0.000
#> 023D7F8E-5BD5-4AE8-8A7F-1851AA7F228A 3 0.5620 0.49635 0.264 0.000 0.616 0.000 0.120
#> 3BDE962B-6791-40BC-B3AA-C4D527FFEF22 5 0.2179 0.80098 0.112 0.000 0.000 0.000 0.888
#> 2F2D34BA-A568-470E-B0D9-5875E897FF39 3 0.0000 0.93187 0.000 0.000 1.000 0.000 0.000
#> 6DB55201-3973-4650-842E-842D5869C567 5 0.2020 0.80245 0.100 0.000 0.000 0.000 0.900
#> 258CFB91-4E4F-48F9-A483-9F6C4CFF0D3C 3 0.0693 0.92372 0.000 0.000 0.980 0.012 0.008
#> 5373681D-9C2C-46FE-AA89-05741DA4080B 5 0.1851 0.80329 0.088 0.000 0.000 0.000 0.912
#> 050B778A-9D6F-4742-B6AA-CBF8541F6203 1 0.1270 0.86458 0.948 0.000 0.000 0.000 0.052
#> 46FAC69E-DB01-452F-A3EE-D7339DD562CE 5 0.1568 0.79491 0.000 0.020 0.036 0.000 0.944
#> 2115D9F7-F4A9-4408-9AEF-BCFAF10C4867 2 0.3395 0.67831 0.236 0.764 0.000 0.000 0.000
#> DCEFC413-9710-4863-A5B1-8EFBA98CF126 2 0.0000 0.89636 0.000 1.000 0.000 0.000 0.000
#> 49CA7C56-BD81-4E36-9E50-EF36EDDD8D28 5 0.1630 0.79686 0.004 0.036 0.016 0.000 0.944
#> 9A497869-8F26-438D-85B0-C2CB39E487AE 1 0.0162 0.89566 0.996 0.000 0.000 0.000 0.004
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#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.1357 0.92665 0.004 0.000 0.000 0.948 0.048
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.0703 0.91829 0.000 0.000 0.976 0.000 0.024
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.1757 0.92008 0.004 0.012 0.000 0.936 0.048
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.0290 0.94521 0.000 0.000 0.000 0.992 0.008
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.0290 0.89405 0.992 0.000 0.000 0.000 0.008
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0451 0.92847 0.000 0.000 0.988 0.004 0.008
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 5 0.3586 0.62225 0.000 0.000 0.264 0.000 0.736
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.0324 0.89541 0.992 0.004 0.000 0.000 0.004
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.0703 0.88881 0.976 0.024 0.000 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.1978 0.88151 0.000 0.004 0.928 0.024 0.044
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 5 0.2605 0.79203 0.148 0.000 0.000 0.000 0.852
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0000 0.93187 0.000 0.000 1.000 0.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.0162 0.89657 0.004 0.996 0.000 0.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.2940 0.84261 0.004 0.876 0.000 0.072 0.048
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 5 0.3336 0.75039 0.228 0.000 0.000 0.000 0.772
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.93187 0.000 0.000 1.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.1197 0.87871 0.952 0.000 0.000 0.000 0.048
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.2558 0.685544 0.156 0.840 0.000 0.000 0.000 0.004
#> 27496AAB-AC06-4100-BB41-0029F63CC678 5 0.1462 0.793698 0.056 0.000 0.000 0.000 0.936 0.008
#> 3BBC7540-136B-47C8-9C09-CD423685B742 6 0.3156 0.596292 0.000 0.180 0.020 0.000 0.000 0.800
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.3489 0.667948 0.288 0.000 0.000 0.000 0.708 0.004
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.6492 0.438831 0.068 0.072 0.460 0.000 0.016 0.384
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0458 0.834527 0.000 0.000 0.984 0.016 0.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0000 0.890751 0.000 0.000 0.000 1.000 0.000 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 5 0.2053 0.783202 0.004 0.108 0.000 0.000 0.888 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.1398 0.849783 0.940 0.000 0.000 0.000 0.008 0.052
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.1204 0.832194 0.000 0.000 0.944 0.000 0.000 0.056
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.1387 0.794694 0.000 0.000 0.000 0.000 0.932 0.068
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 6 0.3607 0.415114 0.000 0.000 0.000 0.348 0.000 0.652
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.7485 0.085001 0.016 0.380 0.164 0.000 0.112 0.328
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0458 0.834527 0.000 0.000 0.984 0.016 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.4214 -0.107925 0.528 0.008 0.000 0.000 0.460 0.004
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.0146 0.873816 0.996 0.004 0.000 0.000 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.5209 0.610818 0.008 0.044 0.588 0.000 0.020 0.340
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 6 0.8549 -0.085259 0.284 0.088 0.180 0.000 0.160 0.288
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.2520 0.766745 0.844 0.152 0.000 0.000 0.000 0.004
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.2378 0.687047 0.152 0.848 0.000 0.000 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0937 0.729088 0.000 0.960 0.000 0.000 0.000 0.040
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.1219 0.825832 0.000 0.000 0.948 0.000 0.048 0.004
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.2631 0.642100 0.000 0.820 0.000 0.000 0.000 0.180
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.837272 0.000 0.000 1.000 0.000 0.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 5 0.3938 0.547764 0.012 0.312 0.000 0.000 0.672 0.004
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.2431 0.791300 0.860 0.132 0.000 0.000 0.000 0.008
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.2219 0.668178 0.000 0.864 0.000 0.000 0.000 0.136
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.0000 0.890751 0.000 0.000 0.000 1.000 0.000 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.0458 0.871600 0.984 0.016 0.000 0.000 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 6 0.4009 0.376187 0.000 0.008 0.004 0.356 0.000 0.632
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.2838 0.669725 0.000 0.000 0.004 0.808 0.188 0.000
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0363 0.835563 0.000 0.000 0.988 0.012 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0000 0.837272 0.000 0.000 1.000 0.000 0.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.2527 0.731939 0.832 0.168 0.000 0.000 0.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.4109 0.493109 0.392 0.008 0.000 0.000 0.596 0.004
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.3684 0.502634 0.332 0.664 0.000 0.000 0.000 0.004
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0547 0.833532 0.000 0.000 0.980 0.020 0.000 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.0458 0.892674 0.000 0.000 0.000 0.984 0.000 0.016
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0260 0.836453 0.000 0.000 0.992 0.008 0.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0937 0.834970 0.000 0.000 0.960 0.000 0.000 0.040
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.5581 0.636026 0.056 0.000 0.592 0.060 0.000 0.292
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 3 0.3071 0.699256 0.000 0.000 0.804 0.016 0.180 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.0146 0.873816 0.996 0.004 0.000 0.000 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.4464 0.668384 0.712 0.000 0.000 0.000 0.140 0.148
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 5 0.3329 0.727124 0.236 0.004 0.000 0.000 0.756 0.004
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.0146 0.806354 0.004 0.000 0.000 0.000 0.996 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 6 0.4228 0.565476 0.000 0.064 0.000 0.228 0.000 0.708
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.1225 0.735581 0.036 0.952 0.000 0.000 0.000 0.012
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.0458 0.892674 0.000 0.000 0.000 0.984 0.000 0.016
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.2070 0.820063 0.892 0.100 0.000 0.000 0.000 0.008
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.1349 0.879852 0.000 0.004 0.000 0.940 0.000 0.056
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 4 0.3864 0.071023 0.000 0.000 0.480 0.520 0.000 0.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.0000 0.890751 0.000 0.000 0.000 1.000 0.000 0.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.3265 0.746557 0.000 0.000 0.748 0.000 0.004 0.248
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0363 0.835563 0.000 0.000 0.988 0.012 0.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.1267 0.799854 0.000 0.000 0.060 0.000 0.940 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.3836 0.534442 0.012 0.724 0.000 0.000 0.252 0.012
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.1007 0.888240 0.000 0.000 0.000 0.956 0.000 0.044
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 3 0.7520 0.384293 0.112 0.048 0.412 0.000 0.096 0.332
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.4403 0.121505 0.000 0.000 0.508 0.000 0.468 0.024
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 5 0.3802 0.535211 0.000 0.000 0.312 0.012 0.676 0.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.1141 0.884503 0.000 0.000 0.000 0.948 0.000 0.052
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 5 0.2793 0.761992 0.200 0.000 0.000 0.000 0.800 0.000
#> B40B9470-990D-4443-8484-17266E829557 2 0.2118 0.703321 0.008 0.888 0.000 0.000 0.000 0.104
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 5 0.3023 0.695584 0.000 0.212 0.000 0.000 0.784 0.004
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 5 0.3870 0.682427 0.012 0.000 0.128 0.000 0.788 0.072
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 6 0.8634 0.042087 0.160 0.204 0.180 0.000 0.120 0.336
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.1480 0.730196 0.020 0.940 0.000 0.000 0.000 0.040
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 6 0.3607 0.552824 0.000 0.348 0.000 0.000 0.000 0.652
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 5 0.0603 0.809636 0.004 0.016 0.000 0.000 0.980 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 5 0.0260 0.807327 0.000 0.000 0.000 0.000 0.992 0.008
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.1950 0.727759 0.064 0.912 0.000 0.000 0.000 0.024
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 6 0.3428 0.597106 0.000 0.304 0.000 0.000 0.000 0.696
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.3986 0.372952 0.020 0.664 0.000 0.000 0.000 0.316
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.0363 0.837107 0.000 0.000 0.988 0.000 0.000 0.012
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 5 0.4158 0.424940 0.416 0.008 0.000 0.000 0.572 0.004
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.0146 0.873816 0.996 0.004 0.000 0.000 0.000 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0000 0.837272 0.000 0.000 1.000 0.000 0.000 0.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 5 0.3023 0.752225 0.212 0.004 0.000 0.000 0.784 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.1757 0.716485 0.008 0.916 0.000 0.000 0.000 0.076
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.1610 0.710928 0.000 0.916 0.000 0.000 0.000 0.084
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.1625 0.721330 0.012 0.928 0.000 0.000 0.000 0.060
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0458 0.834527 0.000 0.000 0.984 0.016 0.000 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 4 0.0000 0.890751 0.000 0.000 0.000 1.000 0.000 0.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 4 0.4584 0.033646 0.000 0.000 0.000 0.512 0.452 0.036
#> EB5CF362-6974-4137-AC92-2051B1594E13 4 0.0363 0.892387 0.000 0.000 0.000 0.988 0.000 0.012
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 4 0.0790 0.892209 0.000 0.000 0.000 0.968 0.000 0.032
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 5 0.2491 0.785593 0.164 0.000 0.000 0.000 0.836 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 4 0.0000 0.890751 0.000 0.000 0.000 1.000 0.000 0.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 4 0.0000 0.890751 0.000 0.000 0.000 1.000 0.000 0.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.2941 0.665288 0.000 0.000 0.780 0.220 0.000 0.000
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.1267 0.718363 0.000 0.940 0.000 0.000 0.000 0.060
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.1265 0.832500 0.000 0.000 0.948 0.000 0.008 0.044
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.1267 0.817916 0.000 0.000 0.940 0.060 0.000 0.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.0508 0.872170 0.984 0.012 0.000 0.000 0.000 0.004
#> 2C2589E0-2055-43AC-8001-1643839F80D4 3 0.2450 0.811366 0.000 0.000 0.868 0.000 0.016 0.116
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.2994 0.769955 0.000 0.000 0.788 0.000 0.004 0.208
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 1 0.2126 0.819658 0.904 0.020 0.000 0.000 0.072 0.004
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 1 0.1196 0.854514 0.952 0.000 0.000 0.000 0.040 0.008
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 3 0.2730 0.782872 0.000 0.000 0.808 0.000 0.000 0.192
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 4 0.0000 0.890751 0.000 0.000 0.000 1.000 0.000 0.000
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.2219 0.683442 0.000 0.864 0.000 0.000 0.000 0.136
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 5 0.6094 0.182713 0.376 0.224 0.000 0.000 0.396 0.004
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.2260 0.677960 0.000 0.860 0.000 0.000 0.000 0.140
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 5 0.3446 0.570363 0.000 0.000 0.308 0.000 0.692 0.000
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 3 0.2020 0.802688 0.000 0.000 0.896 0.000 0.096 0.008
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 4 0.1327 0.876921 0.000 0.000 0.000 0.936 0.000 0.064
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 2 0.0603 0.734548 0.016 0.980 0.000 0.000 0.000 0.004
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 1 0.4111 -0.085706 0.536 0.004 0.000 0.000 0.456 0.004
#> A3AC663C-1578-4946-AED3-2FF9A739168E 4 0.0790 0.891704 0.000 0.000 0.000 0.968 0.000 0.032
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.5813 0.318557 0.016 0.524 0.028 0.000 0.060 0.372
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 3 0.0865 0.827446 0.000 0.000 0.964 0.036 0.000 0.000
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.2859 0.734465 0.000 0.000 0.828 0.016 0.156 0.000
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.1411 0.829421 0.000 0.000 0.936 0.000 0.004 0.060
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 2 0.1910 0.698343 0.000 0.892 0.000 0.000 0.000 0.108
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.0937 0.825977 0.000 0.000 0.960 0.040 0.000 0.000
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 1 0.4392 0.678429 0.720 0.000 0.000 0.000 0.144 0.136
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 4 0.0458 0.892674 0.000 0.000 0.000 0.984 0.000 0.016
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.0146 0.837252 0.000 0.000 0.996 0.000 0.000 0.004
#> 4ED692EB-E194-49D7-9222-6232051426E5 6 0.3688 0.622359 0.000 0.256 0.000 0.020 0.000 0.724
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 1 0.1036 0.862013 0.964 0.008 0.000 0.000 0.024 0.004
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.0937 0.825977 0.000 0.000 0.960 0.040 0.000 0.000
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 2 0.3668 0.492852 0.328 0.668 0.000 0.000 0.000 0.004
#> 64B33223-EB30-49ED-A3D8-5AC598845465 3 0.3620 0.627199 0.000 0.000 0.648 0.000 0.000 0.352
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#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0000 0.837272 0.000 0.000 1.000 0.000 0.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.0146 0.873816 0.996 0.004 0.000 0.000 0.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.0291 0.870927 0.992 0.000 0.000 0.000 0.004 0.004
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 5 0.1958 0.786695 0.000 0.100 0.000 0.000 0.896 0.004
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0363 0.835563 0.000 0.000 0.988 0.012 0.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.0937 0.889734 0.000 0.000 0.000 0.960 0.000 0.040
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.1007 0.888240 0.000 0.000 0.000 0.956 0.000 0.044
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 1 0.6904 0.359970 0.488 0.000 0.112 0.000 0.180 0.220
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.2527 0.792137 0.000 0.000 0.832 0.000 0.000 0.168
#> EFA48913-D0BD-4530-A445-C327A89CE956 3 0.5179 0.166165 0.000 0.000 0.516 0.092 0.000 0.392
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.837272 0.000 0.000 1.000 0.000 0.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 5 0.2912 0.749349 0.216 0.000 0.000 0.000 0.784 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.4849 0.649466 0.700 0.000 0.016 0.000 0.128 0.156
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.1501 0.714664 0.000 0.924 0.000 0.000 0.000 0.076
#> 2798DEF8-A841-4068-B3FC-76D57605235A 5 0.3385 0.690515 0.004 0.000 0.172 0.000 0.796 0.028
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0000 0.837272 0.000 0.000 1.000 0.000 0.000 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.837272 0.000 0.000 1.000 0.000 0.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.7497 0.076751 0.012 0.344 0.092 0.000 0.320 0.232
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 5 0.2533 0.767966 0.004 0.008 0.052 0.000 0.892 0.044
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.2491 0.679266 0.164 0.836 0.000 0.000 0.000 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 6 0.3823 0.193025 0.000 0.000 0.000 0.436 0.000 0.564
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 5 0.2219 0.798143 0.136 0.000 0.000 0.000 0.864 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.0777 0.868822 0.972 0.024 0.000 0.000 0.000 0.004
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.1888 0.839237 0.916 0.012 0.000 0.000 0.068 0.004
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.2823 0.623107 0.000 0.796 0.000 0.000 0.000 0.204
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.2668 0.678829 0.168 0.828 0.000 0.000 0.000 0.004
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.2882 0.803293 0.860 0.004 0.000 0.000 0.060 0.076
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.3102 0.684961 0.156 0.816 0.000 0.000 0.000 0.028
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.0865 0.890824 0.000 0.000 0.000 0.964 0.000 0.036
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.0717 0.835807 0.000 0.008 0.976 0.000 0.000 0.016
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0260 0.731927 0.000 0.992 0.000 0.000 0.000 0.008
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0458 0.834527 0.000 0.000 0.984 0.016 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.2805 0.664137 0.012 0.828 0.000 0.000 0.000 0.160
#> F4142833-0749-44A4-B769-66262AA4A484 5 0.0363 0.810892 0.012 0.000 0.000 0.000 0.988 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 6 0.3578 0.399598 0.000 0.000 0.000 0.340 0.000 0.660
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0713 0.835898 0.000 0.000 0.972 0.000 0.000 0.028
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 6 0.4101 -0.284485 0.000 0.000 0.408 0.000 0.012 0.580
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.3426 0.580349 0.276 0.720 0.000 0.000 0.000 0.004
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0632 0.836615 0.000 0.000 0.976 0.000 0.000 0.024
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.1141 0.884503 0.000 0.000 0.000 0.948 0.000 0.052
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.3522 0.755946 0.800 0.000 0.000 0.000 0.128 0.072
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0547 0.892859 0.000 0.000 0.000 0.980 0.000 0.020
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.3102 0.684419 0.156 0.816 0.000 0.000 0.000 0.028
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.3862 0.056805 0.000 0.000 0.000 0.524 0.000 0.476
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.3728 0.772148 0.004 0.000 0.788 0.000 0.068 0.140
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 6 0.4189 0.343145 0.000 0.020 0.000 0.376 0.000 0.604
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.0000 0.890751 0.000 0.000 0.000 1.000 0.000 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.0363 0.870585 0.988 0.000 0.000 0.000 0.012 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.1007 0.824508 0.000 0.000 0.956 0.044 0.000 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 5 0.2491 0.719484 0.000 0.000 0.164 0.000 0.836 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.0508 0.871495 0.984 0.012 0.000 0.000 0.000 0.004
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.2473 0.788051 0.856 0.136 0.000 0.000 0.000 0.008
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.3662 0.757658 0.000 0.060 0.832 0.036 0.008 0.064
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 5 0.2340 0.794726 0.148 0.000 0.000 0.000 0.852 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.2378 0.799982 0.000 0.000 0.848 0.000 0.000 0.152
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.2146 0.695250 0.004 0.880 0.000 0.000 0.000 0.116
#> 44A16F74-F823-4B27-AC3B-52526426199B 6 0.3330 0.606940 0.000 0.284 0.000 0.000 0.000 0.716
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 5 0.3791 0.649062 0.300 0.008 0.000 0.000 0.688 0.004
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.837272 0.000 0.000 1.000 0.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.1745 0.834106 0.920 0.000 0.000 0.000 0.068 0.012
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 17395 rows and 473 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 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 0.239 0.699 0.836 0.4602 0.550 0.550
#> 3 3 0.467 0.623 0.784 0.3166 0.695 0.498
#> 4 4 0.618 0.753 0.856 0.1805 0.883 0.693
#> 5 5 0.607 0.524 0.745 0.0837 0.882 0.619
#> 6 6 0.659 0.507 0.742 0.0540 0.900 0.598
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
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.1184 0.7980 0.984 0.016
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.5294 0.7014 0.880 0.120
#> 3BBC7540-136B-47C8-9C09-CD423685B742 1 0.9552 0.6163 0.624 0.376
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0376 0.7914 0.996 0.004
#> 82DA87CF-C067-44B3-A372-ECB056337B08 1 0.2423 0.7967 0.960 0.040
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.0376 0.8030 0.004 0.996
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.2778 0.7918 0.048 0.952
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.6343 0.6951 0.840 0.160
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.1414 0.7975 0.980 0.020
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.5059 0.8008 0.112 0.888
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.9323 0.5838 0.652 0.348
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 1 0.9710 0.5846 0.600 0.400
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 1 0.1414 0.7975 0.980 0.020
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.0000 0.8039 0.000 1.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0376 0.7914 0.996 0.004
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.1414 0.7975 0.980 0.020
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 1 0.7139 0.6360 0.804 0.196
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.1414 0.7975 0.980 0.020
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.1184 0.7980 0.984 0.016
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.1414 0.7975 0.980 0.020
#> E8385A24-9459-4D47-9147-3A628D1A213D 1 0.4022 0.7884 0.920 0.080
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.8386 0.6860 0.268 0.732
#> C42C8456-82F9-433C-82BA-F1284CDC425C 1 0.2236 0.7996 0.964 0.036
#> 7194CC84-3897-4418-9695-66CC12CFE900 2 0.0376 0.8048 0.004 0.996
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0376 0.7914 0.996 0.004
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.7674 0.7345 0.776 0.224
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 1 0.7602 0.7355 0.780 0.220
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.0000 0.8039 0.000 1.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.5629 0.7689 0.868 0.132
#> D48A0C08-C253-49EA-9083-DCA68541072B 1 0.9881 0.5275 0.564 0.436
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.8661 0.6614 0.288 0.712
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.4690 0.8045 0.100 0.900
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.6148 0.7870 0.152 0.848
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.2236 0.7994 0.964 0.036
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0376 0.7914 0.996 0.004
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.1184 0.7980 0.984 0.016
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.0376 0.8053 0.004 0.996
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 1 0.9635 0.6073 0.612 0.388
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.2603 0.8014 0.044 0.956
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.5059 0.8008 0.112 0.888
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.7674 0.5725 0.224 0.776
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 2 0.2778 0.8001 0.048 0.952
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.1414 0.7975 0.980 0.020
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.5946 0.7649 0.856 0.144
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.1843 0.7854 0.972 0.028
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.7299 0.6530 0.796 0.204
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 1 0.9552 0.6163 0.624 0.376
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.1414 0.7975 0.980 0.020
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 1 0.9686 0.5973 0.604 0.396
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.2948 0.7944 0.948 0.052
#> F8FF0B4E-0868-417C-9118-F484437E57DA 1 0.9608 0.6063 0.616 0.384
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.0000 0.8039 0.000 1.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 2 0.0938 0.8038 0.012 0.988
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.6148 0.7819 0.152 0.848
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.0000 0.8039 0.000 1.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 2 0.4815 0.7816 0.104 0.896
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.0376 0.7914 0.996 0.004
#> D58CE99E-A954-4555-AA01-6582C049B7ED 1 0.9661 0.5962 0.608 0.392
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#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.8499 0.5169 0.724 0.276
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.5519 0.7719 0.872 0.128
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 1 0.9286 0.6515 0.656 0.344
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0938 0.7904 0.988 0.012
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.1184 0.7980 0.984 0.016
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.7745 0.7341 0.772 0.228
#> 85C38170-F2A0-4491-BFDB-38489204C015 1 0.8081 0.7183 0.752 0.248
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.4939 0.7815 0.892 0.108
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.1184 0.7980 0.984 0.016
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.1184 0.7980 0.984 0.016
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 1 0.9608 0.6063 0.616 0.384
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.5519 0.8020 0.128 0.872
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.4690 0.7849 0.900 0.100
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.0000 0.8039 0.000 1.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.8016 0.7205 0.756 0.244
#> F4142833-0749-44A4-B769-66262AA4A484 2 0.9933 0.4161 0.452 0.548
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.8661 0.4042 0.288 0.712
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.5059 0.8008 0.112 0.888
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.9608 0.1764 0.384 0.616
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.0000 0.7923 1.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.0376 0.8030 0.004 0.996
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 1 0.6801 0.7405 0.820 0.180
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.9933 0.2081 0.452 0.548
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.2948 0.7897 0.052 0.948
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.1184 0.7980 0.984 0.016
#> F17C0E73-4C34-4F82-8562-56985A59316C 1 0.9661 0.5962 0.608 0.392
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.8327 0.6898 0.264 0.736
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 1 0.9608 0.6063 0.616 0.384
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.5946 0.7930 0.144 0.856
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.1414 0.7975 0.980 0.020
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.6247 0.7804 0.156 0.844
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 2 0.8713 0.6699 0.292 0.708
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.1414 0.7975 0.980 0.020
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.1414 0.7975 0.980 0.020
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 1 0.9358 0.5385 0.648 0.352
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.9896 0.0355 0.560 0.440
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.8386 0.6860 0.268 0.732
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.6343 0.7664 0.840 0.160
#> 44A16F74-F823-4B27-AC3B-52526426199B 1 0.9552 0.6163 0.624 0.376
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.2236 0.7822 0.964 0.036
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.0376 0.8030 0.004 0.996
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.1414 0.7975 0.980 0.020
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.0892 0.83782 0.980 0.020 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.1163 0.82789 0.972 0.000 0.028
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.5733 0.53910 0.324 0.676 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.6298 0.57437 0.608 0.004 0.388
#> 82DA87CF-C067-44B3-A372-ECB056337B08 1 0.1877 0.83241 0.956 0.032 0.012
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.6079 0.75833 0.000 0.388 0.612
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.2313 0.63375 0.024 0.944 0.032
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.6753 0.56012 0.596 0.016 0.388
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.1031 0.83649 0.976 0.024 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.6079 0.75833 0.000 0.388 0.612
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 2 0.5397 0.59473 0.280 0.720 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0592 0.64844 0.012 0.988 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 1 0.0424 0.83763 0.992 0.008 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.6079 0.75833 0.000 0.388 0.612
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.6298 0.57437 0.608 0.004 0.388
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.0424 0.83763 0.992 0.008 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 1 0.7596 0.53788 0.672 0.100 0.228
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.0424 0.83763 0.992 0.008 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.1031 0.83672 0.976 0.024 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.0592 0.83790 0.988 0.012 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 1 0.3752 0.77063 0.856 0.144 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.6079 0.75833 0.000 0.388 0.612
#> C42C8456-82F9-433C-82BA-F1284CDC425C 1 0.2448 0.81777 0.924 0.076 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.6079 0.75833 0.000 0.388 0.612
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.6298 0.57412 0.608 0.004 0.388
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.1529 0.83315 0.960 0.040 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.6267 0.43490 0.452 0.548 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.2356 0.59097 0.000 0.928 0.072
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.2878 0.80731 0.904 0.096 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.3941 0.62787 0.156 0.844 0.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.3415 0.63817 0.080 0.900 0.020
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.6079 0.75833 0.000 0.388 0.612
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.6079 0.75833 0.000 0.388 0.612
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.2356 0.81925 0.928 0.072 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.6298 0.57437 0.608 0.004 0.388
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.0747 0.83792 0.984 0.016 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.6079 0.75833 0.000 0.388 0.612
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.1964 0.64476 0.056 0.944 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.6330 0.74338 0.004 0.396 0.600
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.6079 0.75833 0.000 0.388 0.612
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.3369 0.62563 0.040 0.908 0.052
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 2 0.6314 -0.13909 0.004 0.604 0.392
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.0424 0.83763 0.992 0.008 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.1031 0.83314 0.976 0.000 0.024
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.6079 0.57450 0.612 0.000 0.388
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.6483 0.56150 0.600 0.008 0.392
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.3192 0.65236 0.112 0.888 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.2261 0.82067 0.932 0.068 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.3038 0.63397 0.104 0.896 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.2711 0.79516 0.912 0.088 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.2711 0.65441 0.088 0.912 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.6168 0.72073 0.000 0.412 0.588
#> FE2C169A-E41F-45EB-B61E-776493069D78 2 0.2879 0.61472 0.024 0.924 0.052
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.8522 0.47740 0.184 0.204 0.612
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.6079 0.75833 0.000 0.388 0.612
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 3 0.7537 -0.02726 0.056 0.332 0.612
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.2165 0.82066 0.936 0.064 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.0000 0.64387 0.000 1.000 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 1 0.5733 0.51206 0.676 0.000 0.324
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.0424 0.38166 0.008 0.000 0.992
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 2 0.7618 0.47939 0.156 0.688 0.156
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.0000 0.64387 0.000 1.000 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.9599 0.22911 0.412 0.200 0.388
#> B40B9470-990D-4443-8484-17266E829557 2 0.5926 0.51514 0.356 0.644 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.6298 0.57412 0.608 0.004 0.388
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 3 0.4002 0.30261 0.160 0.000 0.840
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 1 0.0424 0.83763 0.992 0.008 0.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 1 0.0592 0.83790 0.988 0.012 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 1 0.3267 0.79633 0.884 0.116 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.6079 0.57450 0.612 0.000 0.388
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.5053 0.71203 0.812 0.024 0.164
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 1 0.0747 0.83792 0.984 0.016 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.5621 0.55144 0.308 0.692 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 1 0.2448 0.79700 0.924 0.076 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.6079 0.75833 0.000 0.388 0.612
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.6079 0.57450 0.612 0.000 0.388
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.0747 0.83812 0.984 0.016 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.6079 0.75833 0.000 0.388 0.612
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.6298 0.57437 0.608 0.004 0.388
#> 12B37C6C-03BB-4632-901E-524A46955B98 1 0.2356 0.81938 0.928 0.072 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 1 0.2261 0.82050 0.932 0.068 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 1 0.1163 0.83602 0.972 0.028 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.6079 0.75833 0.000 0.388 0.612
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 2 0.0237 0.64454 0.004 0.996 0.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 2 0.7222 0.55870 0.244 0.684 0.072
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.0424 0.64618 0.008 0.992 0.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 2 0.1529 0.64772 0.040 0.960 0.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 3 0.9906 -0.22485 0.340 0.272 0.388
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.1964 0.60993 0.000 0.944 0.056
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.1989 0.61699 0.004 0.948 0.048
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.6180 -0.36617 0.000 0.584 0.416
#> 77744579-17ED-499B-92FD-089789C44F8A 1 0.2959 0.80414 0.900 0.100 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.6079 0.75833 0.000 0.388 0.612
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.6079 0.75833 0.000 0.388 0.612
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.0000 0.83612 1.000 0.000 0.000
#> 2C2589E0-2055-43AC-8001-1643839F80D4 3 0.6373 0.72523 0.004 0.408 0.588
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.6079 0.75833 0.000 0.388 0.612
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 1 0.3267 0.78336 0.884 0.116 0.000
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 1 0.0424 0.83763 0.992 0.008 0.000
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.8132 0.49323 0.304 0.600 0.096
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 2 0.1964 0.60993 0.000 0.944 0.056
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 1 0.2537 0.81474 0.920 0.080 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 1 0.0424 0.83742 0.992 0.008 0.000
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 1 0.5363 0.59036 0.724 0.276 0.000
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 3 0.8550 -0.00489 0.096 0.412 0.492
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 3 0.7866 0.65900 0.060 0.388 0.552
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 2 0.1031 0.64905 0.024 0.976 0.000
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 1 0.0592 0.83790 0.988 0.012 0.000
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 1 0.6079 0.57450 0.612 0.000 0.388
#> A3AC663C-1578-4946-AED3-2FF9A739168E 2 0.0000 0.64387 0.000 1.000 0.000
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 1 0.2301 0.82382 0.936 0.060 0.004
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 3 0.6079 0.75833 0.000 0.388 0.612
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.7851 0.63253 0.056 0.412 0.532
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.6079 0.75833 0.000 0.388 0.612
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 1 0.2878 0.80664 0.904 0.096 0.000
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.6079 0.75833 0.000 0.388 0.612
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 1 0.0424 0.83763 0.992 0.008 0.000
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 2 0.0237 0.64454 0.004 0.996 0.000
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.6079 0.75833 0.000 0.388 0.612
#> 4ED692EB-E194-49D7-9222-6232051426E5 2 0.2261 0.64705 0.068 0.932 0.000
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 1 0.0237 0.83674 0.996 0.004 0.000
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.6079 0.75833 0.000 0.388 0.612
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 1 0.0424 0.83763 0.992 0.008 0.000
#> 64B33223-EB30-49ED-A3D8-5AC598845465 2 0.5016 0.32020 0.000 0.760 0.240
#> 21599029-B6C9-4385-B87C-FDB99F956118 3 0.6244 0.67936 0.000 0.440 0.560
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 2 0.0000 0.64387 0.000 1.000 0.000
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 1 0.8686 0.05419 0.464 0.104 0.432
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 1 0.0592 0.83790 0.988 0.012 0.000
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 2 0.4605 0.62389 0.204 0.796 0.000
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 2 0.5216 0.57791 0.260 0.740 0.000
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 1 0.1015 0.83592 0.980 0.008 0.012
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#> B308651C-92E6-4860-AF65-FA6D9D908F7B 1 0.0592 0.83769 0.988 0.012 0.000
#> D66B3821-4F39-4FDD-8FB7-5420FF822AF9 3 0.6079 0.75833 0.000 0.388 0.612
#> BB938CB4-65C7-484A-B3A9-D345289DFA68 2 0.5291 0.60111 0.268 0.732 0.000
#> 68A4643D-0822-4088-901A-6EE88E3C39E7 2 0.7536 0.15297 0.064 0.632 0.304
#> 5FC3D2CA-E325-48FA-9171-DC8054CCCD26 1 0.6753 0.56016 0.596 0.016 0.388
#> 92ABF549-0786-47D2-8355-5C16C090304A 1 0.6154 -0.03823 0.592 0.408 0.000
#> 709EEE82-EC92-4FD6-81DE-8AAB11EDFC7C 2 0.1411 0.65285 0.036 0.964 0.000
#> E9BAF502-4144-4D13-8ED9-81F808A6B966 3 0.6079 0.75833 0.000 0.388 0.612
#> B19F8551-14F9-42F3-A2FD-BF748F222393 1 0.0661 0.83715 0.988 0.004 0.008
#> 1BCAB024-A978-4CC8-A411-FAC284F2018E 1 0.6267 0.32930 0.548 0.452 0.000
#> 75D212E1-0BF3-4282-826D-32EF7B2AC070 1 0.1031 0.83692 0.976 0.024 0.000
#> E7F262C2-69DE-4555-86B9-2151C7CF8A17 2 0.0983 0.63913 0.004 0.980 0.016
#> 10EC58F7-A6DC-4427-8FDE-D0AF12800DD6 3 0.6079 0.75833 0.000 0.388 0.612
#> 46D4C579-DE69-44A5-92B4-13329069FF45 1 0.6280 0.31278 0.540 0.460 0.000
#> 5FF6911C-D63C-4A6E-8E51-B116870FBE8C 1 0.6079 0.57450 0.612 0.000 0.388
#> 3BED1BB9-EC6D-4B6B-9B4B-268067DA1C21 2 0.1753 0.65035 0.048 0.952 0.000
#> C405814A-66E1-45E3-957D-0F32CFE30BFA 1 0.5928 0.55858 0.696 0.008 0.296
#> 799673ED-C935-4CE9-B8F3-14EE41C25BA1 1 0.6298 0.57412 0.608 0.004 0.388
#> 2A37A64F-C93B-42B6-95D5-744EEFD07FD1 2 0.5138 0.61099 0.252 0.748 0.000
#> FA84E86B-3DB8-4A3F-817A-140DE7568611 1 0.1529 0.83107 0.960 0.040 0.000
#> D22F5C7C-3BAF-496A-8D3A-FB4D5F853E90 2 0.3043 0.63782 0.084 0.908 0.008
#> 3F76F946-07A9-4C0B-BA36-9524068D785B 3 0.6079 0.75833 0.000 0.388 0.612
#> 3977EBDA-AD30-4AA0-AC75-E33086DC533D 1 0.1267 0.83627 0.972 0.024 0.004
#> 8D361255-E352-4248-9FDF-0A6602CB419D 1 0.1031 0.83672 0.976 0.024 0.000
#> 18AE7FAE-0B1E-4F52-BEC6-6158E61EB679 2 0.4121 0.63373 0.168 0.832 0.000
#> 5F005483-D289-4A3E-BD1E-0A4B3C655951 2 0.3192 0.55418 0.000 0.888 0.112
#> D3803F45-EB0C-4FAD-8C7B-F3755FBF496D 3 0.6079 0.75833 0.000 0.388 0.612
#> DF8D09B4-1F48-4D86-A379-1BB16E114CBE 1 0.1411 0.83469 0.964 0.036 0.000
#> 2A6CB7AD-79C2-4D43-8D97-61A4A6A79D3B 1 0.2878 0.77046 0.904 0.096 0.000
#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 3 0.6079 0.75833 0.000 0.388 0.612
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 1 0.9028 -0.25290 0.436 0.432 0.132
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 1 0.2165 0.82202 0.936 0.064 0.000
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 2 0.0237 0.64454 0.004 0.996 0.000
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 2 0.0237 0.64454 0.004 0.996 0.000
#> 16D23472-C0CB-49F9-9139-77920C50235F 1 0.2796 0.80924 0.908 0.092 0.000
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 2 0.6126 -0.16696 0.000 0.600 0.400
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 3 0.9931 -0.19650 0.288 0.324 0.388
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 2 0.5905 0.50827 0.352 0.648 0.000
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 3 0.9913 -0.21993 0.336 0.276 0.388
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 2 0.4848 0.62471 0.128 0.836 0.036
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 2 0.2313 0.63797 0.032 0.944 0.024
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 2 0.4399 0.60877 0.188 0.812 0.000
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 1 0.3879 0.73530 0.848 0.152 0.000
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 2 0.0237 0.64454 0.004 0.996 0.000
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 2 0.7036 0.58295 0.184 0.720 0.096
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 1 0.0747 0.83795 0.984 0.016 0.000
#> D14A535D-5C31-4D78-8F92-3B50922211A2 2 0.6154 -0.19601 0.000 0.592 0.408
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.4974 0.61080 0.236 0.764 0.000
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 1 0.0661 0.83807 0.988 0.008 0.004
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 2 0.6192 -0.37567 0.000 0.580 0.420
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 3 0.6079 0.75833 0.000 0.388 0.612
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 1 0.0592 0.83790 0.988 0.012 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 2 0.2796 0.57843 0.000 0.908 0.092
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 2 0.1753 0.65960 0.048 0.952 0.000
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 1 0.0747 0.83781 0.984 0.016 0.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 1 0.0592 0.83832 0.988 0.012 0.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 1 0.2261 0.82131 0.932 0.068 0.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 1 0.0661 0.83773 0.988 0.008 0.004
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 1 0.1163 0.83644 0.972 0.028 0.000
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.6467 0.74922 0.008 0.388 0.604
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 2 0.9172 0.40600 0.296 0.524 0.180
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 1 0.5706 0.55844 0.680 0.320 0.000
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.7050 0.50336 0.372 0.600 0.028
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.5733 0.53970 0.324 0.676 0.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 1 0.0592 0.83790 0.988 0.012 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.1031 0.62974 0.000 0.976 0.024
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.6713 0.46525 0.416 0.572 0.012
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.6079 0.57450 0.612 0.000 0.388
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 1 0.0592 0.83790 0.988 0.012 0.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 2 0.3253 0.63244 0.052 0.912 0.036
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.0000 0.83612 1.000 0.000 0.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.0000 0.64387 0.000 1.000 0.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 1 0.6062 0.40568 0.616 0.384 0.000
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 1 0.0424 0.83763 0.992 0.008 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 1 0.4589 0.65587 0.820 0.172 0.008
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 1 0.0424 0.83631 0.992 0.000 0.008
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.6079 0.75833 0.000 0.388 0.612
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.6079 0.75833 0.000 0.388 0.612
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.0000 0.83612 1.000 0.000 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 1 0.0592 0.83769 0.988 0.012 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 1 0.4002 0.72481 0.840 0.160 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 1 0.3771 0.76778 0.876 0.012 0.112
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.6079 0.75833 0.000 0.388 0.612
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 3 0.2878 0.32601 0.096 0.000 0.904
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.0000 0.64387 0.000 1.000 0.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 1 0.1964 0.82614 0.944 0.056 0.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.6079 0.57450 0.612 0.000 0.388
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.0000 0.64387 0.000 1.000 0.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 1 0.0592 0.83790 0.988 0.012 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 3 0.9940 -0.18756 0.304 0.308 0.388
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.1964 0.82333 0.944 0.056 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.3816 0.60922 0.148 0.852 0.000
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.2860 0.59160 0.004 0.912 0.084
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.0424 0.83763 0.992 0.008 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.0892 0.63568 0.000 0.980 0.020
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.6079 0.75833 0.000 0.388 0.612
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.9281 0.43456 0.172 0.340 0.488
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 0.0592 0.83790 0.988 0.012 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.6079 0.75833 0.000 0.388 0.612
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.0592 0.64738 0.012 0.988 0.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.2625 0.64145 0.084 0.916 0.000
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.6192 0.41263 0.420 0.580 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.5461 0.59183 0.244 0.748 0.008
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.6079 0.75833 0.000 0.388 0.612
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 2 0.6345 -0.17459 0.004 0.596 0.400
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.4504 0.61687 0.804 0.196 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 1 0.2356 0.81686 0.928 0.072 0.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.6079 0.75833 0.000 0.388 0.612
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.1289 0.83503 0.968 0.032 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.0424 0.83763 0.992 0.008 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.9285 0.30144 0.448 0.160 0.392
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.6079 0.75833 0.000 0.388 0.612
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.3619 0.55099 0.136 0.864 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.0237 0.64454 0.004 0.996 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 1 0.5560 0.56300 0.700 0.000 0.300
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.6079 0.75833 0.000 0.388 0.612
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.5677 0.62862 0.160 0.792 0.048
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.6079 0.75833 0.000 0.388 0.612
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.6079 0.57450 0.612 0.000 0.388
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.0424 0.83763 0.992 0.008 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.6235 0.41359 0.436 0.564 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.8691 0.46397 0.104 0.444 0.452
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.6111 0.74686 0.000 0.396 0.604
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.6079 0.75833 0.000 0.388 0.612
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 0.0237 0.83650 0.996 0.000 0.004
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.9536 -0.13398 0.484 0.284 0.232
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.0592 0.83790 0.988 0.012 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.4062 0.64626 0.164 0.836 0.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.6079 0.57450 0.612 0.000 0.388
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.1031 0.83709 0.976 0.024 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.6192 0.47499 0.420 0.580 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 1 0.2959 0.80414 0.900 0.100 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.0592 0.83790 0.988 0.012 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.1031 0.83672 0.976 0.024 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.0747 0.83792 0.984 0.016 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.0000 0.64387 0.000 1.000 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.7222 0.71025 0.032 0.388 0.580
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.2165 0.82202 0.936 0.064 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.6079 0.75833 0.000 0.388 0.612
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.2878 0.80866 0.904 0.096 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 3 0.8790 -0.02157 0.268 0.160 0.572
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.0237 0.64602 0.004 0.996 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.6079 0.75833 0.000 0.388 0.612
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.7674 -0.51568 0.044 0.484 0.472
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.0592 0.83790 0.988 0.012 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.6079 0.75833 0.000 0.388 0.612
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 1 0.6274 0.32101 0.544 0.456 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.7796 0.45571 0.392 0.552 0.056
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.0237 0.64205 0.000 0.996 0.004
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.0747 0.83792 0.984 0.016 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.0000 0.64387 0.000 1.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.6298 0.75387 0.004 0.388 0.608
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.0000 0.64387 0.000 1.000 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.2448 0.64190 0.076 0.924 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.0424 0.83763 0.992 0.008 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.6079 0.75833 0.000 0.388 0.612
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.0000 0.38561 0.000 0.000 1.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.0424 0.83763 0.992 0.008 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.0424 0.83763 0.992 0.008 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 1 0.8587 0.33688 0.604 0.220 0.176
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.6322 0.58417 0.276 0.700 0.024
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.6079 0.75833 0.000 0.388 0.612
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.5327 0.52239 0.728 0.272 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.4504 0.62456 0.196 0.804 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.6298 0.57437 0.608 0.004 0.388
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.6079 0.75833 0.000 0.388 0.612
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.0747 0.83806 0.984 0.016 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0336 0.85347 0.008 0.992 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.3080 0.82262 0.096 0.880 0.024 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 4 0.5785 0.68053 0.064 0.272 0.000 0.664
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#> 5F005483-D289-4A3E-BD1E-0A4B3C655951 4 0.1302 0.78291 0.000 0.000 0.044 0.956
#> D3803F45-EB0C-4FAD-8C7B-F3755FBF496D 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> DF8D09B4-1F48-4D86-A379-1BB16E114CBE 2 0.4621 0.72345 0.284 0.708 0.000 0.008
#> 2A6CB7AD-79C2-4D43-8D97-61A4A6A79D3B 2 0.5031 0.72870 0.140 0.768 0.000 0.092
#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 4 0.7660 0.36496 0.276 0.260 0.000 0.464
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 2 0.3444 0.79604 0.184 0.816 0.000 0.000
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 4 0.0000 0.79019 0.000 0.000 0.000 1.000
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 4 0.0188 0.79095 0.000 0.004 0.000 0.996
#> 16D23472-C0CB-49F9-9139-77920C50235F 2 0.1022 0.84947 0.000 0.968 0.000 0.032
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 4 0.4776 0.48465 0.000 0.000 0.376 0.624
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.2924 0.79060 0.884 0.016 0.000 0.100
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 4 0.6065 0.66628 0.080 0.276 0.000 0.644
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.0779 0.83524 0.980 0.016 0.000 0.004
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 4 0.3292 0.77835 0.004 0.112 0.016 0.868
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 4 0.0927 0.78996 0.000 0.016 0.008 0.976
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 4 0.3688 0.75120 0.000 0.208 0.000 0.792
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 2 0.3320 0.82155 0.068 0.876 0.000 0.056
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 4 0.0000 0.79019 0.000 0.000 0.000 1.000
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 4 0.5279 0.74909 0.000 0.192 0.072 0.736
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 2 0.4304 0.65391 0.284 0.716 0.000 0.000
#> D14A535D-5C31-4D78-8F92-3B50922211A2 4 0.4905 0.50657 0.000 0.004 0.364 0.632
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 4 0.5750 0.71190 0.088 0.216 0.000 0.696
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.0188 0.85234 0.004 0.996 0.000 0.000
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 3 0.3975 0.66013 0.000 0.000 0.760 0.240
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.4008 0.75693 0.244 0.756 0.000 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 4 0.1118 0.78362 0.000 0.000 0.036 0.964
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 4 0.1557 0.79577 0.000 0.056 0.000 0.944
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.4819 0.65648 0.344 0.652 0.000 0.004
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.3726 0.70695 0.212 0.788 0.000 0.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.2868 0.82357 0.136 0.864 0.000 0.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 2 0.0707 0.85348 0.020 0.980 0.000 0.000
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.1489 0.84959 0.044 0.952 0.000 0.004
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.0376 0.89177 0.004 0.004 0.992 0.000
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 4 0.7252 0.51008 0.228 0.228 0.000 0.544
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.5070 0.72400 0.060 0.748 0.000 0.192
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 4 0.7121 0.67809 0.072 0.244 0.056 0.628
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 4 0.6308 0.67214 0.120 0.232 0.000 0.648
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.0469 0.85396 0.012 0.988 0.000 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 4 0.0000 0.79019 0.000 0.000 0.000 1.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 4 0.6673 0.63957 0.140 0.252 0.000 0.608
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.1211 0.83089 0.960 0.040 0.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.0188 0.85234 0.004 0.996 0.000 0.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 4 0.1394 0.79097 0.008 0.012 0.016 0.964
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.1716 0.83884 0.064 0.936 0.000 0.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.0000 0.79019 0.000 0.000 0.000 1.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.4356 0.58542 0.000 0.708 0.000 0.292
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.0188 0.85234 0.004 0.996 0.000 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.6104 0.59291 0.140 0.680 0.000 0.180
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.2281 0.83880 0.096 0.904 0.000 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.4134 0.70913 0.260 0.740 0.000 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.3311 0.77416 0.172 0.828 0.000 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.4336 0.76900 0.128 0.812 0.000 0.060
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.3071 0.81889 0.044 0.888 0.068 0.000
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.4706 0.62210 0.732 0.020 0.248 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.0000 0.79019 0.000 0.000 0.000 1.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.2635 0.83649 0.076 0.904 0.000 0.020
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.4072 0.69963 0.748 0.252 0.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 4 0.0000 0.79019 0.000 0.000 0.000 1.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.2921 0.81399 0.140 0.860 0.000 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.1118 0.82397 0.964 0.000 0.000 0.036
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.2635 0.83691 0.076 0.904 0.000 0.020
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.3399 0.73783 0.040 0.092 0.000 0.868
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 4 0.1489 0.78309 0.004 0.000 0.044 0.952
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.4072 0.69689 0.252 0.748 0.000 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.0469 0.78861 0.000 0.000 0.012 0.988
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.2149 0.80406 0.000 0.088 0.912 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.1940 0.83887 0.076 0.924 0.000 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.0000 0.79019 0.000 0.000 0.000 1.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.1837 0.78972 0.028 0.028 0.000 0.944
#> D7791F51-5151-4E21-802F-F61EE07D626F 4 0.6392 0.44675 0.068 0.404 0.000 0.528
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 4 0.4212 0.75241 0.000 0.216 0.012 0.772
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 4 0.4746 0.50108 0.000 0.000 0.368 0.632
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.6098 0.56556 0.124 0.676 0.000 0.200
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.3205 0.83107 0.104 0.872 0.000 0.024
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.0469 0.85224 0.012 0.988 0.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.2081 0.83923 0.084 0.916 0.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.4072 0.69972 0.748 0.252 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.2973 0.69559 0.000 0.144 0.000 0.856
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.0000 0.79019 0.000 0.000 0.000 1.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.5174 0.36236 0.012 0.368 0.620 0.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 4 0.3856 0.78172 0.000 0.136 0.032 0.832
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.1474 0.82480 0.948 0.052 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.0469 0.85342 0.012 0.988 0.000 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 4 0.6933 0.56577 0.140 0.300 0.000 0.560
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.7648 0.05468 0.096 0.036 0.496 0.372
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0336 0.89151 0.000 0.000 0.992 0.008
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.2921 0.81399 0.140 0.860 0.000 0.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.6509 0.39131 0.140 0.228 0.632 0.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.2589 0.82807 0.116 0.884 0.000 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.2760 0.78874 0.000 0.128 0.000 0.872
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.1716 0.83085 0.936 0.064 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0188 0.85345 0.004 0.996 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 4 0.6698 0.63944 0.140 0.256 0.000 0.604
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.2670 0.83645 0.072 0.904 0.000 0.024
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.1211 0.84883 0.040 0.960 0.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.0188 0.85234 0.004 0.996 0.000 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.85257 0.000 1.000 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.0000 0.79019 0.000 0.000 0.000 1.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.2124 0.83099 0.068 0.008 0.924 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.2706 0.83643 0.080 0.900 0.000 0.020
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.2174 0.85063 0.052 0.928 0.000 0.020
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.4667 0.75701 0.796 0.096 0.108 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.0188 0.79095 0.000 0.004 0.000 0.996
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.3877 0.76473 0.000 0.048 0.840 0.112
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.2530 0.83214 0.112 0.888 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.4843 0.48206 0.000 0.604 0.000 0.396
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 4 0.7266 0.65600 0.108 0.260 0.032 0.600
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0000 0.79019 0.000 0.000 0.000 1.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.85257 0.000 1.000 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.0000 0.79019 0.000 0.000 0.000 1.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.0188 0.89420 0.004 0.000 0.996 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.0000 0.79019 0.000 0.000 0.000 1.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.0921 0.79015 0.000 0.028 0.000 0.972
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.2704 0.82183 0.124 0.876 0.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.3726 0.66663 0.212 0.000 0.788 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.1637 0.85043 0.060 0.940 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.1302 0.84846 0.044 0.956 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.6938 0.28136 0.076 0.336 0.568 0.020
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 4 0.5705 0.64023 0.280 0.040 0.008 0.672
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.5672 0.42039 0.056 0.668 0.000 0.276
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.3942 0.74168 0.000 0.236 0.000 0.764
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.1557 0.82624 0.944 0.056 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.89694 0.000 0.000 1.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.1118 0.84747 0.036 0.964 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.1106 0.79613 0.024 0.964 0.000 0.000 0.012
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.3252 0.75451 0.008 0.828 0.008 0.000 0.156
#> 3BBC7540-136B-47C8-9C09-CD423685B742 5 0.6908 -0.09877 0.016 0.192 0.000 0.352 0.440
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0794 0.76365 0.972 0.028 0.000 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.1357 0.79512 0.004 0.948 0.000 0.000 0.048
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0865 0.56071 0.000 0.000 0.004 0.972 0.024
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.5541 0.62480 0.648 0.164 0.000 0.000 0.188
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.2189 0.78641 0.012 0.904 0.000 0.000 0.084
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.6146 -0.15017 0.000 0.132 0.000 0.400 0.468
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.4242 0.44782 0.000 0.000 0.000 0.572 0.428
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.3612 0.74254 0.028 0.800 0.000 0.000 0.172
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0794 0.76365 0.972 0.028 0.000 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.4147 0.63617 0.316 0.676 0.000 0.000 0.008
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.5255 0.59600 0.000 0.684 0.228 0.012 0.076
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#> FA84E86B-3DB8-4A3F-817A-140DE7568611 2 0.2732 0.75438 0.000 0.840 0.000 0.000 0.160
#> D22F5C7C-3BAF-496A-8D3A-FB4D5F853E90 4 0.4184 0.52947 0.000 0.016 0.000 0.700 0.284
#> 3F76F946-07A9-4C0B-BA36-9524068D785B 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> 3977EBDA-AD30-4AA0-AC75-E33086DC533D 2 0.2011 0.78723 0.004 0.908 0.000 0.000 0.088
#> 8D361255-E352-4248-9FDF-0A6602CB419D 2 0.0290 0.79345 0.008 0.992 0.000 0.000 0.000
#> 18AE7FAE-0B1E-4F52-BEC6-6158E61EB679 5 0.5998 -0.26509 0.000 0.112 0.000 0.424 0.464
#> 5F005483-D289-4A3E-BD1E-0A4B3C655951 4 0.4366 0.52323 0.000 0.000 0.016 0.664 0.320
#> D3803F45-EB0C-4FAD-8C7B-F3755FBF496D 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> DF8D09B4-1F48-4D86-A379-1BB16E114CBE 2 0.5225 0.71028 0.100 0.684 0.000 0.004 0.212
#> 2A6CB7AD-79C2-4D43-8D97-61A4A6A79D3B 2 0.5406 0.29105 0.028 0.508 0.000 0.016 0.448
#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 1 0.8305 -0.22583 0.356 0.176 0.000 0.296 0.172
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 2 0.4522 0.70214 0.248 0.708 0.000 0.000 0.044
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 4 0.3966 0.13385 0.000 0.000 0.000 0.664 0.336
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 4 0.1792 0.55269 0.000 0.000 0.000 0.916 0.084
#> 16D23472-C0CB-49F9-9139-77920C50235F 2 0.3056 0.74963 0.012 0.876 0.000 0.056 0.056
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 3 0.6818 -0.40304 0.000 0.000 0.352 0.336 0.312
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.3432 0.73804 0.860 0.028 0.000 0.060 0.052
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 5 0.3441 0.35543 0.024 0.148 0.000 0.004 0.824
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.1836 0.76581 0.932 0.032 0.000 0.000 0.036
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 4 0.5289 0.48470 0.000 0.064 0.000 0.596 0.340
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 4 0.0324 0.55716 0.000 0.000 0.004 0.992 0.004
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 5 0.4277 0.24939 0.000 0.076 0.000 0.156 0.768
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 2 0.3559 0.74467 0.008 0.804 0.000 0.012 0.176
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 5 0.4307 0.05606 0.000 0.000 0.000 0.500 0.500
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 4 0.7922 0.26583 0.000 0.156 0.120 0.404 0.320
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 2 0.4376 0.73420 0.092 0.764 0.000 0.000 0.144
#> D14A535D-5C31-4D78-8F92-3B50922211A2 3 0.6918 -0.36898 0.000 0.004 0.372 0.344 0.280
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 5 0.5045 0.17776 0.004 0.112 0.000 0.172 0.712
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.0162 0.79227 0.004 0.996 0.000 0.000 0.000
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 3 0.3636 0.61443 0.000 0.000 0.728 0.272 0.000
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.4451 0.71264 0.248 0.712 0.000 0.000 0.040
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 4 0.3878 0.56259 0.000 0.000 0.016 0.748 0.236
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 4 0.4880 0.48943 0.000 0.036 0.000 0.616 0.348
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.4776 0.59761 0.364 0.612 0.000 0.004 0.020
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.4151 0.61509 0.344 0.652 0.000 0.000 0.004
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.3452 0.75356 0.148 0.820 0.000 0.000 0.032
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 2 0.0992 0.79553 0.008 0.968 0.000 0.000 0.024
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.2047 0.78725 0.020 0.928 0.000 0.012 0.040
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.0486 0.87378 0.004 0.004 0.988 0.000 0.004
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 4 0.8362 0.12742 0.192 0.244 0.000 0.372 0.192
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 5 0.5572 0.18873 0.016 0.296 0.000 0.064 0.624
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 5 0.7012 -0.09138 0.004 0.172 0.020 0.348 0.456
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 5 0.0968 0.32377 0.012 0.012 0.000 0.004 0.972
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.0566 0.79129 0.004 0.984 0.000 0.000 0.012
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 4 0.3086 0.39959 0.000 0.000 0.004 0.816 0.180
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 5 0.2795 0.33727 0.028 0.100 0.000 0.000 0.872
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.0000 0.77119 1.000 0.000 0.000 0.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.0451 0.79180 0.004 0.988 0.000 0.000 0.008
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 4 0.3966 0.51723 0.000 0.000 0.000 0.664 0.336
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.2377 0.76563 0.128 0.872 0.000 0.000 0.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.4278 -0.01948 0.000 0.000 0.000 0.548 0.452
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.4583 0.53958 0.000 0.672 0.000 0.296 0.032
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.0771 0.79445 0.020 0.976 0.000 0.000 0.004
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.5931 0.43047 0.032 0.600 0.000 0.064 0.304
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.2927 0.76979 0.092 0.868 0.000 0.000 0.040
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.4118 0.63415 0.336 0.660 0.000 0.000 0.004
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.3904 0.75557 0.052 0.792 0.000 0.000 0.156
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.4224 0.75011 0.044 0.796 0.000 0.024 0.136
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.3374 0.76947 0.004 0.844 0.044 0.000 0.108
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.6531 0.63073 0.636 0.104 0.148 0.000 0.112
#> DD8F70E2-3827-4603-8971-E420450D919C 5 0.3966 0.00598 0.000 0.000 0.000 0.336 0.664
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.3002 0.74169 0.028 0.856 0.000 0.000 0.116
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.4584 0.58701 0.660 0.312 0.000 0.000 0.028
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 5 0.3983 -0.10019 0.000 0.000 0.000 0.340 0.660
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.3724 0.73819 0.028 0.788 0.000 0.000 0.184
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0162 0.77132 0.996 0.004 0.000 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 5 0.4948 0.08609 0.028 0.436 0.000 0.000 0.536
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.4605 0.52296 0.000 0.076 0.000 0.732 0.192
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 4 0.4173 0.53485 0.000 0.000 0.012 0.688 0.300
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.4151 0.61509 0.344 0.652 0.000 0.000 0.004
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.1197 0.56379 0.000 0.000 0.000 0.952 0.048
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.1544 0.82577 0.000 0.068 0.932 0.000 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.1830 0.77954 0.028 0.932 0.000 0.000 0.040
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.0000 0.55730 0.000 0.000 0.000 1.000 0.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.5058 0.43036 0.000 0.040 0.000 0.576 0.384
#> D7791F51-5151-4E21-802F-F61EE07D626F 5 0.3917 0.36102 0.024 0.184 0.000 0.008 0.784
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 5 0.3788 0.28511 0.000 0.104 0.004 0.072 0.820
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.6773 -0.36013 0.000 0.000 0.380 0.344 0.276
#> B0055BFB-D214-4C23-9366-7F909D7630FA 5 0.4937 0.15143 0.028 0.428 0.000 0.000 0.544
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 5 0.5616 0.10174 0.080 0.384 0.000 0.000 0.536
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.1478 0.78816 0.064 0.936 0.000 0.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.2929 0.75683 0.008 0.840 0.000 0.000 0.152
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.5117 0.58034 0.652 0.276 0.000 0.000 0.072
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.4929 0.44704 0.000 0.148 0.000 0.716 0.136
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.3913 0.53329 0.000 0.000 0.000 0.676 0.324
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.4218 0.49256 0.008 0.332 0.660 0.000 0.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 4 0.6046 0.43017 0.000 0.112 0.008 0.560 0.320
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0703 0.76573 0.976 0.024 0.000 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.0579 0.79415 0.008 0.984 0.000 0.000 0.008
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 5 0.1750 0.34537 0.028 0.036 0.000 0.000 0.936
#> 2798DEF8-A841-4068-B3FC-76D57605235A 5 0.8263 -0.00488 0.016 0.104 0.348 0.160 0.372
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0162 0.87715 0.000 0.000 0.996 0.004 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.3650 0.73731 0.028 0.796 0.000 0.000 0.176
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.6383 0.40228 0.028 0.192 0.604 0.000 0.176
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.2900 0.77337 0.028 0.864 0.000 0.000 0.108
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.5658 0.44243 0.000 0.096 0.000 0.572 0.332
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.4922 0.67334 0.716 0.128 0.000 0.000 0.156
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.1041 0.79285 0.004 0.964 0.000 0.000 0.032
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 5 0.7172 -0.02525 0.032 0.188 0.000 0.348 0.432
#> 85C38170-F2A0-4491-BFDB-38489204C015 5 0.4961 0.07385 0.028 0.448 0.000 0.000 0.524
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.2891 0.76006 0.000 0.824 0.000 0.000 0.176
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.0451 0.79309 0.008 0.988 0.000 0.000 0.004
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.79195 0.000 1.000 0.000 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.1544 0.57176 0.000 0.000 0.000 0.932 0.068
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.2152 0.82351 0.032 0.012 0.924 0.000 0.032
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 5 0.4953 0.07943 0.028 0.440 0.000 0.000 0.532
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 5 0.4354 0.05614 0.000 0.368 0.000 0.008 0.624
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.5968 0.64553 0.664 0.144 0.036 0.000 0.156
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.4302 0.38171 0.000 0.000 0.000 0.520 0.480
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.3058 0.80244 0.000 0.040 0.880 0.024 0.056
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.2946 0.78565 0.044 0.868 0.000 0.000 0.088
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.6660 -0.18210 0.000 0.228 0.000 0.388 0.384
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 4 0.8494 0.13803 0.188 0.172 0.004 0.332 0.304
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.1270 0.56464 0.000 0.000 0.000 0.948 0.052
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.79195 0.000 1.000 0.000 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.3752 0.53363 0.000 0.000 0.000 0.708 0.292
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.0324 0.87541 0.004 0.000 0.992 0.000 0.004
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 5 0.3895 -0.00185 0.000 0.000 0.000 0.320 0.680
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.0162 0.55701 0.000 0.000 0.000 0.996 0.004
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.3152 0.76389 0.024 0.840 0.000 0.000 0.136
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.3366 0.70370 0.000 0.000 0.768 0.232 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.3210 0.67124 0.212 0.000 0.788 0.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.2172 0.79412 0.016 0.908 0.000 0.000 0.076
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.1768 0.78951 0.004 0.924 0.000 0.000 0.072
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.6238 0.45032 0.032 0.280 0.616 0.032 0.040
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 5 0.7491 -0.11555 0.112 0.104 0.000 0.332 0.452
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.5854 0.27451 0.020 0.652 0.000 0.128 0.200
#> 44A16F74-F823-4B27-AC3B-52526426199B 5 0.6210 -0.15408 0.000 0.148 0.000 0.360 0.492
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0162 0.77132 0.996 0.004 0.000 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.87941 0.000 0.000 1.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.2389 0.76405 0.116 0.880 0.000 0.000 0.004
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.0260 0.74805 0.992 0.000 0.000 0.000 0.008 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 6 0.3737 -0.04535 0.392 0.000 0.000 0.000 0.000 0.608
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.6010 0.15499 0.160 0.512 0.000 0.020 0.000 0.308
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#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.0291 0.74646 0.992 0.004 0.000 0.000 0.000 0.004
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.2685 0.65370 0.000 0.072 0.000 0.868 0.000 0.060
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.1866 0.80227 0.008 0.000 0.908 0.000 0.000 0.084
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.4831 0.39218 0.268 0.636 0.000 0.000 0.000 0.096
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.86779 0.000 0.000 1.000 0.000 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.3998 0.31417 0.340 0.644 0.000 0.000 0.000 0.016
#> F4142833-0749-44A4-B769-66262AA4A484 5 0.3741 0.62554 0.008 0.000 0.000 0.000 0.672 0.320
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.3879 0.27267 0.000 0.688 0.000 0.020 0.000 0.292
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.86779 0.000 0.000 1.000 0.000 0.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.3264 0.78711 0.024 0.048 0.860 0.016 0.000 0.052
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.4368 0.56904 0.672 0.000 0.000 0.000 0.056 0.272
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0000 0.86779 0.000 0.000 1.000 0.000 0.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.6621 0.24839 0.140 0.256 0.000 0.512 0.000 0.092
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 6 0.5475 0.28111 0.132 0.044 0.000 0.000 0.168 0.656
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.2506 0.66053 0.000 0.068 0.000 0.880 0.000 0.052
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.0291 0.74646 0.992 0.004 0.000 0.000 0.000 0.004
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.5982 -0.05627 0.000 0.392 0.000 0.380 0.000 0.228
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.3052 0.70057 0.004 0.000 0.780 0.000 0.000 0.216
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.2510 0.42264 0.000 0.872 0.000 0.028 0.000 0.100
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.0458 0.70151 0.000 0.000 0.000 0.984 0.000 0.016
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 6 0.3864 -0.21544 0.480 0.000 0.000 0.000 0.000 0.520
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.3717 0.41605 0.000 0.000 0.616 0.384 0.000 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.2883 0.67459 0.000 0.000 0.788 0.000 0.212 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.1285 0.74718 0.944 0.000 0.000 0.000 0.004 0.052
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.1387 0.74150 0.932 0.000 0.000 0.000 0.000 0.068
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.6264 0.32309 0.260 0.016 0.524 0.012 0.000 0.188
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 6 0.2209 0.43461 0.004 0.072 0.000 0.000 0.024 0.900
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0000 0.86779 0.000 0.000 1.000 0.000 0.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.5766 0.14844 0.520 0.184 0.000 0.004 0.000 0.292
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.4002 0.28025 0.008 0.692 0.000 0.016 0.000 0.284
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 5 0.0790 0.78195 0.000 0.000 0.000 0.000 0.968 0.032
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.86779 0.000 0.000 1.000 0.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.3052 0.58805 0.780 0.000 0.000 0.000 0.004 0.216
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 17395 rows and 473 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 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 0.356 0.663 0.838 0.4452 0.540 0.540
#> 3 3 0.342 0.573 0.788 0.2815 0.618 0.446
#> 4 4 0.722 0.837 0.921 0.1844 0.722 0.478
#> 5 5 0.598 0.656 0.803 0.0971 0.892 0.692
#> 6 6 0.628 0.512 0.659 0.0658 0.932 0.766
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
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.9881 0.1158 0.564 0.436
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.3431 0.8173 0.936 0.064
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.7453 0.7256 0.212 0.788
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.8160 1.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.8555 0.6512 0.280 0.720
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.1184 0.7808 0.016 0.984
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.3431 0.7519 0.064 0.936
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0376 0.8163 0.996 0.004
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.9710 0.4569 0.400 0.600
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.7453 0.7256 0.212 0.788
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.8160 1.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.1184 0.7799 0.016 0.984
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.7602 0.7196 0.220 0.780
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.2236 0.7833 0.036 0.964
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0000 0.8160 1.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.9209 0.4293 0.664 0.336
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 1 0.8909 0.5510 0.692 0.308
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.7602 0.7196 0.220 0.780
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.9993 0.1997 0.484 0.516
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.9358 0.3877 0.648 0.352
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.1414 0.7796 0.020 0.980
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 1 0.7950 0.6464 0.760 0.240
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 1.0000 0.0709 0.500 0.500
#> 7194CC84-3897-4418-9695-66CC12CFE900 2 0.9933 0.0446 0.452 0.548
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0000 0.8160 1.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 1.0000 -0.1592 0.500 0.500
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.9775 0.4296 0.412 0.588
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.3431 0.7519 0.064 0.936
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.9732 0.4562 0.404 0.596
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.1184 0.7808 0.016 0.984
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.3879 0.7509 0.076 0.924
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.7602 0.7271 0.220 0.780
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.7528 0.7227 0.216 0.784
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.9998 0.1836 0.492 0.508
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0000 0.8160 1.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.9866 0.1312 0.568 0.432
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.1633 0.7802 0.024 0.976
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.2948 0.7583 0.052 0.948
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.3584 0.7827 0.068 0.932
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.5178 0.7731 0.116 0.884
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.1184 0.7808 0.016 0.984
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.9044 0.5020 0.680 0.320
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.9427 0.3656 0.640 0.360
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.8207 0.6834 0.256 0.744
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.0000 0.8160 1.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.2603 0.8210 0.956 0.044
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.1184 0.7799 0.016 0.984
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.9710 0.4653 0.400 0.600
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.2423 0.7639 0.040 0.960
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.9580 0.5055 0.380 0.620
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.3431 0.7519 0.064 0.936
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.3431 0.7544 0.064 0.936
#> FE2C169A-E41F-45EB-B61E-776493069D78 2 0.3431 0.7519 0.064 0.936
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.7453 0.7256 0.212 0.788
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.1184 0.7808 0.016 0.984
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0376 0.8163 0.996 0.004
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.2423 0.8208 0.960 0.040
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.3431 0.7519 0.064 0.936
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.7602 0.7196 0.220 0.780
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.7528 0.6658 0.784 0.216
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.7602 0.6653 0.780 0.220
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.3431 0.7519 0.064 0.936
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.0000 0.8160 1.000 0.000
#> B40B9470-990D-4443-8484-17266E829557 2 0.9710 0.4653 0.400 0.600
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.0000 0.8160 1.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 1 0.4939 0.7983 0.892 0.108
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.7602 0.7196 0.220 0.780
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 1 0.4022 0.8114 0.920 0.080
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.2948 0.7853 0.052 0.948
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0376 0.8163 0.996 0.004
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.2778 0.8207 0.952 0.048
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.9710 0.4653 0.400 0.600
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.6531 0.7559 0.168 0.832
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.9635 0.4903 0.388 0.612
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 2 0.3879 0.7816 0.076 0.924
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.2236 0.8209 0.964 0.036
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.9686 0.2576 0.604 0.396
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 2 0.9977 0.0678 0.472 0.528
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.0000 0.8160 1.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.9635 0.4903 0.388 0.612
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.9686 0.4740 0.396 0.604
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.9732 0.4562 0.404 0.596
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 2 0.1184 0.7808 0.016 0.984
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 2 0.3431 0.7519 0.064 0.936
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 2 0.9881 0.0861 0.436 0.564
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.3431 0.7519 0.064 0.936
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 2 0.3431 0.7519 0.064 0.936
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0000 0.8160 1.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.3431 0.7519 0.064 0.936
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.3431 0.7519 0.064 0.936
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.1633 0.7727 0.024 0.976
#> 77744579-17ED-499B-92FD-089789C44F8A 1 0.8813 0.5210 0.700 0.300
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 2 0.7219 0.7344 0.200 0.800
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#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.7528 0.7236 0.216 0.784
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0000 0.8160 1.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.6343 0.7566 0.160 0.840
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.9754 0.4468 0.408 0.592
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.1184 0.7799 0.016 0.984
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0672 0.8182 0.992 0.008
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.3431 0.7831 0.064 0.936
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.3431 0.8173 0.936 0.064
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.9074 0.4351 0.328 0.516 0.156
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.3879 0.5938 0.152 0.848 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.5852 0.6518 0.060 0.788 0.152
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.1031 0.7055 0.976 0.024 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0983 0.6815 0.004 0.980 0.016
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.3340 0.6485 0.000 0.880 0.120
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.0237 0.8701 0.000 0.004 0.996
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.2356 0.7044 0.928 0.072 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.5756 0.6039 0.208 0.764 0.028
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.0592 0.6790 0.000 0.988 0.012
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.1878 0.7072 0.952 0.044 0.004
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.6299 0.2728 0.000 0.524 0.476
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.1337 0.6792 0.016 0.972 0.012
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.4110 0.5993 0.004 0.844 0.152
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.1031 0.7055 0.976 0.024 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.5928 0.5205 0.296 0.696 0.008
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.0661 0.6782 0.004 0.988 0.008
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.1482 0.6783 0.020 0.968 0.012
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.7606 0.5444 0.244 0.664 0.092
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.9151 -0.1917 0.436 0.420 0.144
#> E8385A24-9459-4D47-9147-3A628D1A213D 3 0.8085 0.2323 0.084 0.332 0.584
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.0592 0.6755 0.012 0.988 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.2443 0.6824 0.032 0.940 0.028
#> 7194CC84-3897-4418-9695-66CC12CFE900 2 0.3359 0.6364 0.016 0.900 0.084
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0592 0.6954 0.988 0.012 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.9074 0.4351 0.328 0.516 0.156
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.5850 0.6045 0.188 0.772 0.040
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 3 0.0237 0.8701 0.000 0.004 0.996
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.9117 0.4306 0.328 0.512 0.160
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.6451 0.4753 0.008 0.608 0.384
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 3 0.4634 0.7294 0.012 0.164 0.824
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.1031 0.6790 0.000 0.976 0.024
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.0592 0.6790 0.000 0.988 0.012
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.9133 0.4242 0.332 0.508 0.160
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.1031 0.7055 0.976 0.024 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.9074 0.4351 0.328 0.516 0.156
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.2878 0.6582 0.000 0.904 0.096
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 3 0.2066 0.8380 0.000 0.060 0.940
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.1643 0.6771 0.000 0.956 0.044
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.1289 0.6793 0.000 0.968 0.032
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.3879 0.6544 0.000 0.848 0.152
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 2 0.5756 0.4817 0.028 0.764 0.208
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.7308 0.5040 0.296 0.648 0.056
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.1774 0.6800 0.024 0.960 0.016
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.1289 0.7082 0.968 0.032 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.5988 0.4634 0.632 0.368 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.7289 0.3036 0.028 0.504 0.468
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.9100 0.4353 0.324 0.516 0.160
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 3 0.2356 0.8288 0.000 0.072 0.928
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.8597 0.4773 0.292 0.576 0.132
#> F8FF0B4E-0868-417C-9118-F484437E57DA 3 0.0237 0.8701 0.000 0.004 0.996
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.4195 0.7410 0.012 0.136 0.852
#> FE2C169A-E41F-45EB-B61E-776493069D78 3 0.0661 0.8641 0.008 0.004 0.988
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.0592 0.6790 0.000 0.988 0.012
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.3686 0.6311 0.000 0.860 0.140
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.4978 0.5980 0.780 0.216 0.004
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.6955 0.3227 0.636 0.332 0.032
#> D58CE99E-A954-4555-AA01-6582C049B7ED 3 0.0237 0.8701 0.000 0.004 0.996
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.1337 0.6803 0.012 0.972 0.016
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 2 0.7820 0.0475 0.324 0.604 0.072
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 2 0.4931 0.4305 0.232 0.768 0.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 3 0.0237 0.8701 0.000 0.004 0.996
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.1289 0.7082 0.968 0.032 0.000
#> B40B9470-990D-4443-8484-17266E829557 2 0.9142 0.4312 0.324 0.512 0.164
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.1163 0.7072 0.972 0.028 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 2 0.3116 0.6057 0.108 0.892 0.000
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.1491 0.6806 0.016 0.968 0.016
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.7040 0.5353 0.252 0.688 0.060
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.9184 0.4507 0.284 0.528 0.188
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.3482 0.6760 0.872 0.128 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 2 0.6008 0.2017 0.372 0.628 0.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.9142 0.4312 0.324 0.512 0.164
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.9151 0.4496 0.292 0.528 0.180
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.9002 0.4432 0.312 0.532 0.156
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 2 0.1529 0.6783 0.000 0.960 0.040
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.1031 0.7055 0.976 0.024 0.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.8955 0.4221 0.332 0.524 0.144
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 2 0.2550 0.6577 0.012 0.932 0.056
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.1031 0.7055 0.976 0.024 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.9159 0.4264 0.328 0.508 0.164
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.9050 0.4431 0.304 0.532 0.164
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.9013 0.4441 0.324 0.524 0.152
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 2 0.3619 0.6361 0.000 0.864 0.136
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 3 0.0237 0.8701 0.000 0.004 0.996
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 3 0.5958 0.5493 0.300 0.008 0.692
#> EB5CF362-6974-4137-AC92-2051B1594E13 3 0.0237 0.8701 0.000 0.004 0.996
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 3 0.0237 0.8701 0.000 0.004 0.996
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.1031 0.7055 0.976 0.024 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 3 0.0237 0.8701 0.000 0.004 0.996
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 3 0.0237 0.8701 0.000 0.004 0.996
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.3532 0.8090 0.008 0.108 0.884
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.8201 0.4980 0.276 0.612 0.112
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 2 0.1163 0.6799 0.000 0.972 0.028
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.4589 0.7626 0.008 0.172 0.820
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 2 0.6489 0.1112 0.456 0.540 0.004
#> 2C2589E0-2055-43AC-8001-1643839F80D4 2 0.0592 0.6790 0.000 0.988 0.012
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 2 0.0747 0.6797 0.000 0.984 0.016
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 1 0.7230 0.2899 0.616 0.344 0.040
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 2 0.4887 0.5602 0.228 0.772 0.000
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.0747 0.6797 0.000 0.984 0.016
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 3 0.0661 0.8641 0.008 0.004 0.988
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.9057 0.4395 0.324 0.520 0.156
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 1 0.7013 0.3290 0.640 0.324 0.036
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.9112 0.4431 0.308 0.524 0.168
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 1 0.7240 0.3674 0.540 0.432 0.028
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 2 0.0661 0.6782 0.004 0.988 0.008
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 3 0.0237 0.8701 0.000 0.004 0.996
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 2 0.7413 0.5571 0.224 0.684 0.092
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 1 0.1031 0.7055 0.976 0.024 0.000
#> A3AC663C-1578-4946-AED3-2FF9A739168E 3 0.0237 0.8701 0.000 0.004 0.996
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.3295 0.6221 0.096 0.896 0.008
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 3 0.6280 0.2728 0.000 0.460 0.540
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 2 0.9306 -0.1667 0.336 0.488 0.176
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 2 0.0747 0.6797 0.000 0.984 0.016
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 2 0.9125 0.4352 0.320 0.516 0.164
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 3 0.6155 0.5733 0.008 0.328 0.664
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 2 0.1774 0.6800 0.024 0.960 0.016
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 3 0.0237 0.8701 0.000 0.004 0.996
#> 5813BD59-3E38-4630-8735-F9F743F28160 2 0.0892 0.6801 0.000 0.980 0.020
#> 4ED692EB-E194-49D7-9222-6232051426E5 2 0.8373 0.4491 0.088 0.524 0.388
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 1 0.6737 0.2834 0.600 0.384 0.016
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.6825 0.1120 0.012 0.488 0.500
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 1 0.7534 0.0606 0.532 0.428 0.040
#> 64B33223-EB30-49ED-A3D8-5AC598845465 2 0.3038 0.6716 0.000 0.896 0.104
#> 21599029-B6C9-4385-B87C-FDB99F956118 3 0.2680 0.8392 0.008 0.068 0.924
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 3 0.0237 0.8701 0.000 0.004 0.996
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 2 0.0747 0.6808 0.000 0.984 0.016
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 2 0.9117 0.4259 0.328 0.512 0.160
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 3 0.1878 0.8382 0.044 0.004 0.952
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 2 0.9168 0.4861 0.184 0.528 0.288
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 1 0.5843 0.4897 0.732 0.252 0.016
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 2 0.2625 0.6764 0.000 0.916 0.084
#> 8902E88F-181A-46FE-9C80-F11C107B33E4 2 0.4335 0.6717 0.036 0.864 0.100
#> 24F2D373-AE15-47B0-8F1B-740426145C2C 2 0.8995 0.3206 0.372 0.492 0.136
#> A154A921-EB14-48DF-BF70-AE765CCE5CAB 1 0.4346 0.6187 0.816 0.184 0.000
#> D508AD79-2273-4E78-A6EE-97FBAAC7E851 2 0.8955 0.4425 0.332 0.524 0.144
#> 023D7F8E-5BD5-4AE8-8A7F-1851AA7F228A 2 0.1337 0.6778 0.016 0.972 0.012
#> 3BDE962B-6791-40BC-B3AA-C4D527FFEF22 1 0.4504 0.6539 0.804 0.196 0.000
#> 2F2D34BA-A568-470E-B0D9-5875E897FF39 2 0.1129 0.6786 0.004 0.976 0.020
#> 6DB55201-3973-4650-842E-842D5869C567 1 0.2066 0.7073 0.940 0.060 0.000
#> 258CFB91-4E4F-48F9-A483-9F6C4CFF0D3C 3 0.3295 0.8166 0.008 0.096 0.896
#> 5373681D-9C2C-46FE-AA89-05741DA4080B 1 0.2448 0.7031 0.924 0.076 0.000
#> 050B778A-9D6F-4742-B6AA-CBF8541F6203 1 0.6724 0.2411 0.568 0.420 0.012
#> 46FAC69E-DB01-452F-A3EE-D7339DD562CE 2 0.3412 0.6088 0.124 0.876 0.000
#> 2115D9F7-F4A9-4408-9AEF-BCFAF10C4867 1 0.8608 -0.0574 0.488 0.412 0.100
#> DCEFC413-9710-4863-A5B1-8EFBA98CF126 2 0.7447 0.4901 0.280 0.652 0.068
#> 49CA7C56-BD81-4E36-9E50-EF36EDDD8D28 2 0.4002 0.5980 0.160 0.840 0.000
#> 9A497869-8F26-438D-85B0-C2CB39E487AE 2 0.5656 0.5402 0.264 0.728 0.008
#> D7B44985-AF29-44DF-8966-1228629EE8E2 2 0.2448 0.6748 0.000 0.924 0.076
#> 65343EA3-C1AA-4AA6-BC96-D8DE39E48000 2 0.0747 0.6797 0.000 0.984 0.016
#> 38C30CDE-2564-40A0-9594-FFA8D8330585 2 0.7710 0.5413 0.240 0.660 0.100
#> 660A826B-C49F-4D57-9778-C2FCD600FFA1 2 0.2269 0.6855 0.016 0.944 0.040
#> C5F7AAB7-8C35-4AC8-BFD2-6F3C9F3F9586 1 0.7411 0.1459 0.548 0.416 0.036
#> FE7A09A1-ACB3-4E9C-A481-060678E3FBDC 2 0.7665 0.5244 0.268 0.648 0.084
#> 9FFF1766-C9CA-4226-8790-2D1676E26A22 2 0.3116 0.6057 0.108 0.892 0.000
#> 33BFFD24-DEF0-4FDE-B20D-482BE6E8C4CD 2 0.1399 0.6844 0.004 0.968 0.028
#> 7F675A21-3434-4901-A600-9CFC13C2C7B0 2 0.7835 0.5431 0.232 0.656 0.112
#> 131A1435-2526-4B73-ABB0-320A589C54EC 2 0.3765 0.6662 0.084 0.888 0.028
#> 60373CCE-BBCD-4226-9C3E-A25A3CE37341 2 0.2066 0.6440 0.060 0.940 0.000
#> 464067A5-10EF-4610-89F2-0E45B573C686 2 0.7491 0.2899 0.036 0.492 0.472
#> 2217BE58-6746-4470-84BD-6CEF5729DFF2 2 0.0747 0.6808 0.000 0.984 0.016
#> 89961F87-A925-4C21-A539-252B18B7EEEF 2 0.8910 0.4585 0.312 0.540 0.148
#> 2227F694-4AEC-47FE-BA93-66E3F3A050DD 1 0.4883 0.6062 0.788 0.208 0.004
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#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 3 0.0237 0.8701 0.000 0.004 0.996
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 3 0.0237 0.8701 0.000 0.004 0.996
#> 16D23472-C0CB-49F9-9139-77920C50235F 2 0.9206 0.4465 0.288 0.524 0.188
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 2 0.1163 0.6804 0.000 0.972 0.028
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.1529 0.7089 0.960 0.040 0.000
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 2 0.9190 0.4472 0.292 0.524 0.184
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.1163 0.7072 0.972 0.028 0.000
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 2 0.1765 0.6812 0.004 0.956 0.040
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 3 0.2537 0.8225 0.000 0.080 0.920
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 2 0.9330 0.4552 0.244 0.520 0.236
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 2 0.8749 0.4954 0.276 0.572 0.152
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 3 0.0237 0.8701 0.000 0.004 0.996
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 2 0.0829 0.6794 0.004 0.984 0.012
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 1 0.7256 0.1011 0.532 0.440 0.028
#> D14A535D-5C31-4D78-8F92-3B50922211A2 2 0.7419 0.3405 0.088 0.680 0.232
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.4749 0.6524 0.012 0.816 0.172
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.1919 0.6828 0.020 0.956 0.024
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 2 0.5254 0.5716 0.000 0.736 0.264
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 2 0.1337 0.6778 0.016 0.972 0.012
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.9074 0.4351 0.328 0.516 0.156
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 3 0.3686 0.7722 0.000 0.140 0.860
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 3 0.0747 0.8649 0.000 0.016 0.984
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 1 0.7918 -0.0518 0.484 0.460 0.056
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.8976 0.4362 0.316 0.532 0.152
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.7063 0.1185 0.464 0.516 0.020
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 2 0.5201 0.5650 0.236 0.760 0.004
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.9106 0.4924 0.180 0.536 0.284
#> 212CB113-E765-4146-AC8A-B34044E2A849 2 0.1337 0.6778 0.016 0.972 0.012
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.3879 0.6837 0.848 0.152 0.000
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 3 0.8675 -0.0350 0.108 0.388 0.504
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.0747 0.6808 0.000 0.984 0.016
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.9203 0.4905 0.248 0.536 0.216
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.2152 0.6793 0.036 0.948 0.016
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 3 0.0237 0.8701 0.000 0.004 0.996
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.2959 0.6144 0.100 0.900 0.000
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.1031 0.7055 0.976 0.024 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.9100 0.4353 0.324 0.516 0.160
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 3 0.4483 0.7336 0.128 0.024 0.848
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.6495 0.1538 0.536 0.460 0.004
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 3 0.0237 0.8701 0.000 0.004 0.996
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.7238 0.5430 0.044 0.628 0.328
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.4748 0.6381 0.144 0.832 0.024
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.3752 0.5933 0.144 0.856 0.000
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.4121 0.5921 0.168 0.832 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 2 0.1529 0.6783 0.000 0.960 0.040
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 2 0.0592 0.6790 0.000 0.988 0.012
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.6910 0.2527 0.584 0.396 0.020
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.8454 0.4688 0.316 0.572 0.112
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.7364 0.5099 0.304 0.640 0.056
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.1015 0.6802 0.008 0.980 0.012
#> 560C9030-5EF4-466E-9149-BFB8215A512A 2 0.1753 0.6764 0.000 0.952 0.048
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.4834 0.6102 0.792 0.204 0.004
#> DD8F70E2-3827-4603-8971-E420450D919C 3 0.0424 0.8684 0.000 0.008 0.992
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.7613 0.5634 0.204 0.680 0.116
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.4399 0.6302 0.812 0.188 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 3 0.8841 0.1439 0.136 0.328 0.536
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.7699 0.5576 0.212 0.672 0.116
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.1163 0.7072 0.972 0.028 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.7328 0.2404 0.596 0.364 0.040
#> E336F811-7C92-438D-9929-EA40AA2932CB 3 0.0237 0.8701 0.000 0.004 0.996
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.2878 0.6675 0.000 0.904 0.096
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.7831 0.3044 0.404 0.540 0.056
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 3 0.0237 0.8701 0.000 0.004 0.996
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 2 0.0747 0.6789 0.000 0.984 0.016
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.0829 0.6793 0.004 0.984 0.012
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 0.6763 0.2104 0.552 0.436 0.012
#> 62315297-B01F-4A7F-9C15-5B602099257F 2 0.1643 0.6771 0.000 0.956 0.044
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 3 0.0237 0.8701 0.000 0.004 0.996
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 3 0.9136 -0.2201 0.144 0.400 0.456
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.9151 0.4496 0.292 0.528 0.180
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.6487 0.5897 0.032 0.700 0.268
#> 1707CA8B-228E-49F9-B78A-A0171E853376 2 0.1529 0.6791 0.000 0.960 0.040
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 2 0.1753 0.6790 0.000 0.952 0.048
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.6836 0.2665 0.572 0.412 0.016
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 1 0.7388 0.2594 0.600 0.356 0.044
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 2 0.1529 0.6783 0.000 0.960 0.040
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.6806 0.5694 0.228 0.712 0.060
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.6596 0.5519 0.256 0.704 0.040
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.4178 0.6430 0.828 0.172 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 2 0.2261 0.6721 0.000 0.932 0.068
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 3 0.0237 0.8701 0.000 0.004 0.996
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 3 0.0237 0.8701 0.000 0.004 0.996
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.1337 0.6778 0.016 0.972 0.012
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.1163 0.6799 0.000 0.972 0.028
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.5378 0.6082 0.008 0.756 0.236
#> E36F2243-58F5-41A0-A673-DEAFE0267426 2 0.1643 0.6771 0.000 0.956 0.044
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.1031 0.7055 0.976 0.024 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.2056 0.6819 0.024 0.952 0.024
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.9174 0.4181 0.332 0.504 0.164
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.3412 0.5927 0.124 0.876 0.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 2 0.2261 0.6721 0.000 0.932 0.068
#> E5D94733-7D43-4021-8F57-4426EF183682 2 0.1860 0.6757 0.000 0.948 0.052
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.2711 0.6303 0.088 0.912 0.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.3116 0.6057 0.108 0.892 0.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.8310 0.2664 0.420 0.500 0.080
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.7814 0.3607 0.052 0.512 0.436
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.2356 0.7045 0.928 0.072 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.9074 0.4351 0.328 0.516 0.156
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.8140 0.0778 0.456 0.476 0.068
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.8221 0.5258 0.248 0.624 0.128
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.9159 0.4264 0.328 0.508 0.164
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.2527 0.6795 0.044 0.936 0.020
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.9030 0.4397 0.328 0.520 0.152
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 3 0.0237 0.8701 0.000 0.004 0.996
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.0592 0.6790 0.000 0.988 0.012
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.9133 0.4242 0.332 0.508 0.160
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.4575 0.5685 0.004 0.812 0.184
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.9167 0.4329 0.320 0.512 0.168
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.4346 0.6327 0.816 0.184 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 3 0.3412 0.7852 0.000 0.124 0.876
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.1289 0.6789 0.000 0.968 0.032
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.1031 0.6827 0.000 0.976 0.024
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.7905 -0.0470 0.500 0.444 0.056
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.1289 0.6793 0.000 0.968 0.032
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 3 0.0237 0.8701 0.000 0.004 0.996
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.2261 0.6664 0.068 0.932 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.0237 0.8701 0.000 0.004 0.996
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.8939 0.4069 0.340 0.520 0.140
#> F17C0E73-4C34-4F82-8562-56985A59316C 3 0.2066 0.8380 0.000 0.060 0.940
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.1182 0.6785 0.012 0.976 0.012
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 3 0.0237 0.8701 0.000 0.004 0.996
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.0237 0.8701 0.000 0.004 0.996
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.5859 0.4417 0.344 0.656 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.6680 -0.1031 0.008 0.508 0.484
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.7091 0.4566 0.640 0.320 0.040
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.5253 0.6078 0.188 0.792 0.020
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.6808 0.5975 0.184 0.732 0.084
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.4749 0.6628 0.072 0.852 0.076
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.3340 0.6861 0.880 0.120 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.0892 0.6793 0.000 0.980 0.020
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.9142 0.4312 0.324 0.512 0.164
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.9386 0.4603 0.244 0.512 0.244
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.1031 0.7055 0.976 0.024 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.1643 0.6771 0.000 0.956 0.044
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.5397 0.5110 0.280 0.720 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.8980 0.000 1.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.3569 0.8136 0.196 0.804 0.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0469 0.8964 0.000 0.988 0.012 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.9052 1.000 0.000 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.3610 0.7836 0.000 0.800 0.200 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0000 0.9547 0.000 0.000 0.000 1.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0469 0.8998 0.988 0.012 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.3486 0.8196 0.188 0.812 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0469 0.8998 0.988 0.012 0.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.4770 0.6240 0.000 0.700 0.012 0.288
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.3528 0.7881 0.000 0.808 0.192 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0000 0.9052 1.000 0.000 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.3610 0.8138 0.200 0.800 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.4193 0.5900 0.000 0.268 0.732 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.3837 0.7474 0.000 0.776 0.224 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0188 0.8980 0.004 0.996 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0707 0.8960 0.020 0.980 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.1824 0.8614 0.000 0.936 0.004 0.060
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.0469 0.8856 0.000 0.012 0.988 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0469 0.8964 0.000 0.988 0.012 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0707 0.8919 0.980 0.020 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0000 0.8980 0.000 1.000 0.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0188 0.8977 0.000 0.996 0.004 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.0000 0.9547 0.000 0.000 0.000 1.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0000 0.8980 0.000 1.000 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.0469 0.8964 0.000 0.988 0.012 0.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.1022 0.9165 0.000 0.032 0.000 0.968
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0188 0.8910 0.000 0.004 0.996 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0000 0.8980 0.000 1.000 0.000 0.000
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#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.0469 0.8964 0.000 0.988 0.012 0.000
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.0469 0.8856 0.000 0.012 0.988 0.000
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.4855 0.4494 0.600 0.400 0.000 0.000
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.0336 0.8972 0.000 0.992 0.008 0.000
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.3569 0.7859 0.000 0.804 0.196 0.000
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.0469 0.8964 0.000 0.988 0.012 0.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.0000 0.8980 0.000 1.000 0.000 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 4 0.0000 0.9547 0.000 0.000 0.000 1.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.3610 0.7836 0.000 0.800 0.200 0.000
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.0000 0.9052 1.000 0.000 0.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.0000 0.8980 0.000 1.000 0.000 0.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 4 0.2060 0.9032 0.052 0.016 0.000 0.932
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.3486 0.8196 0.188 0.812 0.000 0.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.0000 0.9547 0.000 0.000 0.000 1.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.0469 0.8964 0.000 0.988 0.012 0.000
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.3356 0.8279 0.176 0.824 0.000 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.4057 0.8088 0.028 0.812 0.160 0.000
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.3444 0.8224 0.184 0.816 0.000 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.3649 0.6883 0.000 0.204 0.796 0.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.3528 0.8177 0.192 0.808 0.000 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.2149 0.8751 0.088 0.912 0.000 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.2408 0.8682 0.104 0.896 0.000 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.4406 0.6232 0.000 0.700 0.300 0.000
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.0000 0.9052 1.000 0.000 0.000 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.0000 0.9547 0.000 0.000 0.000 1.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.0336 0.8972 0.000 0.992 0.008 0.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.0469 0.8998 0.988 0.012 0.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.2021 0.8627 0.000 0.932 0.012 0.056
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.0000 0.8980 0.000 1.000 0.000 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0000 0.9052 1.000 0.000 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.0000 0.8980 0.000 1.000 0.000 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.0000 0.9547 0.000 0.000 0.000 1.000
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.4730 0.5002 0.000 0.636 0.364 0.000
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.3610 0.8138 0.200 0.800 0.000 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.0000 0.9547 0.000 0.000 0.000 1.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.0336 0.8884 0.000 0.008 0.992 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.0707 0.8961 0.020 0.980 0.000 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.0000 0.9547 0.000 0.000 0.000 1.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.0927 0.8956 0.000 0.976 0.008 0.016
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.0188 0.8977 0.000 0.996 0.004 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.0469 0.8964 0.000 0.988 0.012 0.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.1022 0.8938 0.032 0.968 0.000 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.0000 0.8980 0.000 1.000 0.000 0.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.1867 0.8812 0.072 0.928 0.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.3528 0.8177 0.192 0.808 0.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.0469 0.8998 0.988 0.012 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.0000 0.9547 0.000 0.000 0.000 1.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.0000 0.9547 0.000 0.000 0.000 1.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.6536 0.4068 0.096 0.324 0.580 0.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.2469 0.8584 0.000 0.892 0.108 0.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0000 0.9052 1.000 0.000 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.3946 0.8040 0.020 0.812 0.168 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0000 0.8980 0.000 1.000 0.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.4222 0.6069 0.000 0.272 0.728 0.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.3486 0.7900 0.000 0.812 0.188 0.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.4877 0.2973 0.000 0.408 0.592 0.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.2589 0.8623 0.116 0.884 0.000 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.2401 0.8638 0.000 0.904 0.004 0.092
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0000 0.9052 1.000 0.000 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0000 0.8980 0.000 1.000 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.3528 0.8177 0.192 0.808 0.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0336 0.8972 0.000 0.992 0.008 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0188 0.8980 0.004 0.996 0.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.1302 0.8879 0.000 0.956 0.044 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.8980 0.000 1.000 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.0000 0.9547 0.000 0.000 0.000 1.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.4925 0.2203 0.000 0.428 0.572 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.8980 0.000 1.000 0.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0000 0.8980 0.000 1.000 0.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0000 0.9052 1.000 0.000 0.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.1677 0.9089 0.000 0.040 0.012 0.948
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.3528 0.7920 0.000 0.808 0.192 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.3266 0.8332 0.168 0.832 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.0000 0.9547 0.000 0.000 0.000 1.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.4163 0.8088 0.188 0.792 0.020 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0000 0.9547 0.000 0.000 0.000 1.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.8980 0.000 1.000 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.0000 0.9547 0.000 0.000 0.000 1.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.0469 0.8856 0.000 0.012 0.988 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.0188 0.9513 0.000 0.004 0.000 0.996
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.0000 0.9547 0.000 0.000 0.000 1.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.4008 0.7688 0.244 0.756 0.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0469 0.8855 0.000 0.000 0.988 0.012
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.5244 0.3087 0.600 0.012 0.388 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.3486 0.8196 0.188 0.812 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.3486 0.8196 0.188 0.812 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.2647 0.8510 0.000 0.880 0.120 0.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.1474 0.8540 0.948 0.052 0.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.0000 0.8980 0.000 1.000 0.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.0469 0.8964 0.000 0.988 0.012 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0000 0.9052 1.000 0.000 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.8932 0.000 0.000 1.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.3486 0.8196 0.188 0.812 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0703 0.8338 0.000 0.976 0.024 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 3 0.7065 0.1254 0.116 0.320 0.500 0.000 0.064
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.3327 0.7962 0.000 0.828 0.144 0.000 0.028
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0162 0.8835 0.996 0.000 0.000 0.000 0.004
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.2886 0.5400 0.000 0.148 0.844 0.000 0.008
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 5 0.4300 0.7407 0.000 0.000 0.476 0.000 0.524
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0000 0.9267 0.000 0.000 0.000 1.000 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0955 0.8778 0.968 0.028 0.000 0.000 0.004
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.6092 0.5987 0.148 0.616 0.220 0.000 0.016
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.4304 -0.6922 0.000 0.000 0.516 0.000 0.484
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.2664 0.8338 0.892 0.040 0.064 0.000 0.004
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.6423 0.6411 0.000 0.628 0.072 0.200 0.100
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.3146 0.5459 0.000 0.128 0.844 0.000 0.028
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 5 0.3966 0.7122 0.000 0.000 0.336 0.000 0.664
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0000 0.8836 1.000 0.000 0.000 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.5521 0.7129 0.192 0.688 0.096 0.000 0.024
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.2006 0.5354 0.000 0.072 0.916 0.000 0.012
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 3 0.3309 0.5429 0.000 0.128 0.836 0.000 0.036
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0963 0.8321 0.000 0.964 0.036 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.1074 0.8386 0.012 0.968 0.004 0.000 0.016
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.3391 0.7867 0.000 0.800 0.000 0.012 0.188
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 5 0.4552 0.7175 0.000 0.008 0.468 0.000 0.524
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.3790 0.6536 0.000 0.724 0.272 0.000 0.004
#> 7194CC84-3897-4418-9695-66CC12CFE900 5 0.4305 0.7360 0.000 0.000 0.488 0.000 0.512
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.2800 0.8452 0.888 0.072 0.016 0.000 0.024
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0703 0.8340 0.000 0.976 0.024 0.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.1608 0.8301 0.000 0.928 0.072 0.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.0000 0.9267 0.000 0.000 0.000 1.000 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0693 0.8355 0.000 0.980 0.008 0.000 0.012
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.3805 0.8009 0.000 0.820 0.084 0.004 0.092
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.3154 0.8075 0.000 0.024 0.104 0.860 0.012
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 5 0.4030 0.7182 0.000 0.000 0.352 0.000 0.648
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.4249 -0.5737 0.000 0.000 0.568 0.000 0.432
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.1117 0.8367 0.000 0.964 0.016 0.000 0.020
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0404 0.8813 0.988 0.000 0.000 0.000 0.012
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.1369 0.8347 0.008 0.956 0.028 0.000 0.008
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 5 0.3586 0.6681 0.000 0.000 0.264 0.000 0.736
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.0000 0.9267 0.000 0.000 0.000 1.000 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 5 0.4307 0.7293 0.000 0.000 0.496 0.000 0.504
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.4268 -0.6090 0.000 0.000 0.556 0.000 0.444
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.4755 0.4305 0.000 0.244 0.696 0.000 0.060
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.4015 0.6980 0.000 0.000 0.348 0.000 0.652
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.4441 0.7597 0.172 0.768 0.036 0.000 0.024
#> 040D3276-2E61-426E-B182-AEE6C9778488 3 0.4474 0.5192 0.024 0.140 0.780 0.000 0.056
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.1907 0.8591 0.928 0.000 0.044 0.000 0.028
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.3995 0.7873 0.824 0.032 0.092 0.000 0.052
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.4066 0.7780 0.000 0.768 0.000 0.044 0.188
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.1430 0.8353 0.000 0.944 0.004 0.000 0.052
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.0000 0.9267 0.000 0.000 0.000 1.000 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.2885 0.8256 0.064 0.880 0.052 0.000 0.004
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#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 4 0.3051 0.7967 0.000 0.000 0.076 0.864 0.060
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 4 0.2632 0.8388 0.000 0.072 0.004 0.892 0.032
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.4560 0.7483 0.204 0.744 0.028 0.000 0.024
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.4640 0.7471 0.204 0.740 0.032 0.000 0.024
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.1822 0.8342 0.004 0.936 0.036 0.000 0.024
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 2 0.5736 0.7088 0.156 0.676 0.144 0.000 0.024
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.3106 0.8112 0.000 0.840 0.020 0.000 0.140
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.2438 0.5083 0.000 0.040 0.900 0.000 0.060
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.5681 0.4794 0.588 0.340 0.048 0.000 0.024
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.3160 0.7903 0.000 0.808 0.000 0.004 0.188
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 3 0.2707 0.5459 0.000 0.132 0.860 0.000 0.008
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.2690 0.8090 0.000 0.844 0.000 0.000 0.156
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.4193 0.5971 0.000 0.684 0.304 0.000 0.012
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 4 0.0000 0.9267 0.000 0.000 0.000 1.000 0.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 3 0.4736 0.1970 0.000 0.404 0.576 0.000 0.020
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.0290 0.8836 0.992 0.000 0.000 0.000 0.008
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.0510 0.8344 0.000 0.984 0.000 0.000 0.016
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 4 0.3235 0.8393 0.016 0.016 0.068 0.876 0.024
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.5361 0.7393 0.172 0.712 0.084 0.000 0.032
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.0000 0.9267 0.000 0.000 0.000 1.000 0.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.3752 0.8036 0.000 0.812 0.124 0.000 0.064
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.6142 0.4564 0.096 0.568 0.316 0.000 0.020
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.5363 0.5502 0.004 0.612 0.320 0.000 0.064
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.6200 0.6712 0.084 0.636 0.220 0.000 0.060
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.4307 -0.7296 0.000 0.000 0.500 0.000 0.500
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.1740 0.5236 0.000 0.056 0.932 0.000 0.012
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.5249 0.7416 0.176 0.720 0.068 0.000 0.036
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.2938 0.8201 0.084 0.876 0.032 0.000 0.008
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.3409 0.8058 0.112 0.836 0.052 0.000 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 3 0.2818 0.5494 0.000 0.132 0.856 0.000 0.012
#> 560C9030-5EF4-466E-9149-BFB8215A512A 5 0.4307 0.7293 0.000 0.000 0.496 0.000 0.504
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.1990 0.8626 0.928 0.004 0.028 0.000 0.040
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.0000 0.9267 0.000 0.000 0.000 1.000 0.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.0955 0.8353 0.000 0.968 0.028 0.000 0.004
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.2611 0.8566 0.904 0.028 0.028 0.000 0.040
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.3675 0.7809 0.000 0.788 0.000 0.024 0.188
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.0963 0.8321 0.000 0.964 0.036 0.000 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0290 0.8836 0.992 0.000 0.000 0.000 0.008
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.2260 0.8332 0.000 0.908 0.028 0.000 0.064
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.0000 0.9267 0.000 0.000 0.000 1.000 0.000
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 3 0.5144 0.3480 0.000 0.292 0.640 0.000 0.068
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.4716 0.7456 0.204 0.736 0.036 0.000 0.024
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.0000 0.9267 0.000 0.000 0.000 1.000 0.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 5 0.4307 0.7293 0.000 0.000 0.496 0.000 0.504
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.1830 0.5159 0.000 0.040 0.932 0.000 0.028
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.2491 0.8323 0.000 0.896 0.068 0.000 0.036
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.4307 -0.7214 0.000 0.000 0.504 0.000 0.496
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.0000 0.9267 0.000 0.000 0.000 1.000 0.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.4785 0.7927 0.004 0.776 0.112 0.032 0.076
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.3241 0.8102 0.000 0.832 0.024 0.000 0.144
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.3648 0.7995 0.000 0.824 0.084 0.000 0.092
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.4291 -0.6527 0.000 0.000 0.536 0.000 0.464
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 5 0.4060 0.7234 0.000 0.000 0.360 0.000 0.640
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.2772 0.8314 0.012 0.892 0.052 0.000 0.044
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.2708 0.8283 0.000 0.884 0.044 0.000 0.072
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 5 0.4307 0.7293 0.000 0.000 0.496 0.000 0.504
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.3018 0.8182 0.036 0.872 0.084 0.000 0.008
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.4790 0.7505 0.172 0.748 0.056 0.000 0.024
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.3151 0.8338 0.876 0.032 0.056 0.000 0.036
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 5 0.4306 0.7331 0.000 0.000 0.492 0.000 0.508
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.0000 0.9267 0.000 0.000 0.000 1.000 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.0000 0.9267 0.000 0.000 0.000 1.000 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.4061 0.5055 0.064 0.072 0.824 0.000 0.040
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.3730 -0.1571 0.000 0.000 0.712 0.000 0.288
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.4219 0.6339 0.000 0.716 0.260 0.000 0.024
#> E36F2243-58F5-41A0-A673-DEAFE0267426 5 0.4307 0.7293 0.000 0.000 0.496 0.000 0.504
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0162 0.8835 0.996 0.000 0.000 0.000 0.004
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 3 0.4668 0.4422 0.000 0.272 0.684 0.000 0.044
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.1704 0.8330 0.000 0.928 0.004 0.000 0.068
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.7071 0.3172 0.092 0.176 0.572 0.000 0.160
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 5 0.4307 0.7293 0.000 0.000 0.496 0.000 0.504
#> E5D94733-7D43-4021-8F57-4426EF183682 5 0.4307 0.7293 0.000 0.000 0.496 0.000 0.504
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 3 0.3714 0.5261 0.000 0.132 0.812 0.000 0.056
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.2719 0.5289 0.000 0.068 0.884 0.000 0.048
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.2819 0.8226 0.080 0.884 0.024 0.000 0.012
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.4997 0.7750 0.000 0.744 0.024 0.092 0.140
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0898 0.8786 0.972 0.000 0.020 0.000 0.008
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0510 0.8346 0.000 0.984 0.016 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.4477 0.7661 0.176 0.764 0.024 0.000 0.036
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.2278 0.8319 0.000 0.908 0.060 0.000 0.032
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0898 0.8370 0.008 0.972 0.000 0.000 0.020
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.4302 0.1502 0.000 0.520 0.480 0.000 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0898 0.8352 0.000 0.972 0.020 0.000 0.008
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.0000 0.9267 0.000 0.000 0.000 1.000 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.4902 0.1058 0.000 0.508 0.468 0.000 0.024
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0703 0.8352 0.000 0.976 0.000 0.000 0.024
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 5 0.3707 0.6823 0.000 0.000 0.284 0.000 0.716
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.1908 0.8274 0.000 0.908 0.000 0.000 0.092
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.1741 0.8657 0.936 0.000 0.024 0.000 0.040
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.2450 0.8504 0.000 0.052 0.000 0.900 0.048
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.4300 -0.6792 0.000 0.000 0.524 0.000 0.476
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.2798 0.5423 0.000 0.140 0.852 0.000 0.008
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.3281 0.8179 0.080 0.864 0.032 0.000 0.024
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.4256 -0.5882 0.000 0.000 0.564 0.000 0.436
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.0000 0.9267 0.000 0.000 0.000 1.000 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 3 0.6535 0.3916 0.120 0.228 0.600 0.000 0.052
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0000 0.9267 0.000 0.000 0.000 1.000 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.1124 0.8325 0.000 0.960 0.036 0.000 0.004
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.0000 0.9267 0.000 0.000 0.000 1.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.4132 0.2533 0.000 0.020 0.720 0.000 0.260
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.0451 0.9188 0.000 0.008 0.000 0.988 0.004
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.0000 0.9267 0.000 0.000 0.000 1.000 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.6444 0.6280 0.228 0.584 0.164 0.000 0.024
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 5 0.4141 0.6507 0.000 0.000 0.236 0.028 0.736
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.6425 0.4965 0.600 0.032 0.216 0.000 0.152
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.5354 0.7223 0.172 0.708 0.096 0.000 0.024
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.5708 0.6584 0.148 0.660 0.180 0.000 0.012
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.4223 0.6882 0.000 0.724 0.248 0.000 0.028
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.1522 0.8683 0.944 0.000 0.044 0.000 0.012
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.3534 -0.0368 0.000 0.000 0.744 0.000 0.256
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.0510 0.8344 0.000 0.984 0.000 0.000 0.016
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.3003 0.7923 0.000 0.812 0.000 0.000 0.188
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.1668 0.8681 0.940 0.000 0.028 0.000 0.032
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 5 0.4307 0.7293 0.000 0.000 0.496 0.000 0.504
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.5424 0.7547 0.132 0.720 0.108 0.000 0.040
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.1082 0.69260 0.956 0.040 0.000 0.000 0.000 0.004
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.6942 0.19278 0.420 0.000 0.240 0.000 0.068 0.272
#> 3BBC7540-136B-47C8-9C09-CD423685B742 1 0.5176 0.43090 0.608 0.248 0.144 0.000 0.000 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.1588 0.79219 0.000 0.004 0.000 0.000 0.924 0.072
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.2513 0.51392 0.140 0.000 0.852 0.000 0.000 0.008
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 6 0.6126 0.32306 0.000 0.332 0.316 0.000 0.000 0.352
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0937 0.89787 0.000 0.000 0.000 0.960 0.000 0.040
#> C590B811-A42F-4ED2-896A-513EFD42D62D 5 0.2724 0.79274 0.052 0.000 0.000 0.000 0.864 0.084
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.4750 0.61101 0.732 0.000 0.136 0.000 0.088 0.044
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.4980 0.41863 0.000 0.184 0.648 0.000 0.000 0.168
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.3275 0.79511 0.052 0.000 0.012 0.000 0.836 0.100
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.6938 0.10492 0.280 0.456 0.052 0.200 0.000 0.012
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.1829 0.57664 0.056 0.000 0.920 0.000 0.000 0.024
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.5698 -0.58487 0.000 0.440 0.160 0.000 0.000 0.400
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 5 0.1285 0.78848 0.000 0.004 0.000 0.000 0.944 0.052
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.4412 0.60119 0.716 0.000 0.024 0.000 0.220 0.040
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.0508 0.58779 0.012 0.000 0.984 0.000 0.000 0.004
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 3 0.3149 0.52528 0.044 0.000 0.824 0.000 0.000 0.132
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.0653 0.69414 0.980 0.004 0.012 0.000 0.000 0.004
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.1536 0.69727 0.944 0.020 0.000 0.000 0.012 0.024
#> E8385A24-9459-4D47-9147-3A628D1A213D 1 0.4184 0.26224 0.500 0.488 0.000 0.012 0.000 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.5618 0.33608 0.000 0.196 0.536 0.000 0.000 0.268
#> C42C8456-82F9-433C-82BA-F1284CDC425C 1 0.4843 0.44071 0.636 0.068 0.288 0.000 0.000 0.008
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.5714 0.20904 0.000 0.296 0.508 0.000 0.000 0.196
#> 032E0758-7A5B-405B-88D3-74C527605780 5 0.4189 0.69631 0.152 0.004 0.000 0.000 0.748 0.096
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.0260 0.69473 0.992 0.008 0.000 0.000 0.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 1 0.1657 0.69469 0.928 0.056 0.016 0.000 0.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.0937 0.89787 0.000 0.000 0.000 0.960 0.000 0.040
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.0547 0.69598 0.980 0.020 0.000 0.000 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.5524 -0.09863 0.404 0.464 0.132 0.000 0.000 0.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.5039 0.66212 0.008 0.200 0.040 0.696 0.000 0.056
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.6039 -0.51246 0.000 0.420 0.300 0.000 0.000 0.280
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.4273 0.51615 0.000 0.148 0.732 0.000 0.000 0.120
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.0547 0.69636 0.980 0.020 0.000 0.000 0.000 0.000
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#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.1663 0.68518 0.912 0.088 0.000 0.000 0.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 1 0.4264 0.25606 0.496 0.488 0.000 0.016 0.000 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 5 0.3649 0.73338 0.068 0.004 0.000 0.000 0.796 0.132
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.5694 0.20244 0.000 0.312 0.504 0.000 0.000 0.184
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.4738 0.60042 0.712 0.000 0.040 0.000 0.056 0.192
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["MAD", "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 17395 rows and 473 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 0.539 0.854 0.910 0.4576 0.546 0.546
#> 3 3 0.599 0.691 0.871 0.3842 0.640 0.432
#> 4 4 0.731 0.792 0.895 0.1650 0.748 0.426
#> 5 5 0.676 0.707 0.823 0.0745 0.854 0.520
#> 6 6 0.670 0.608 0.776 0.0421 0.924 0.662
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
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.0000 0.9137 1.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.7674 0.7939 0.776 0.224
#> 3BBC7540-136B-47C8-9C09-CD423685B742 1 0.0938 0.9078 0.988 0.012
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.5294 0.8597 0.880 0.120
#> 82DA87CF-C067-44B3-A372-ECB056337B08 1 0.7299 0.7014 0.796 0.204
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.3274 0.9175 0.060 0.940
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.6343 0.9017 0.160 0.840
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.6438 0.8302 0.836 0.164
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.0000 0.9137 1.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.4161 0.9196 0.084 0.916
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.6438 0.8302 0.836 0.164
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.9988 0.2631 0.480 0.520
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 1 0.7602 0.6737 0.780 0.220
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.3274 0.9175 0.060 0.940
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.5294 0.8597 0.880 0.120
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.0000 0.9137 1.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.6438 0.8997 0.164 0.836
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.8081 0.6223 0.752 0.248
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.0000 0.9137 1.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.0000 0.9137 1.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 1 0.0000 0.9137 1.000 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.0000 0.8762 0.000 1.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 1 0.6531 0.7540 0.832 0.168
#> 7194CC84-3897-4418-9695-66CC12CFE900 2 0.2948 0.9131 0.052 0.948
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.5294 0.8597 0.880 0.120
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.0000 0.9137 1.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 1 0.0000 0.9137 1.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.6148 0.9054 0.152 0.848
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.0000 0.9137 1.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 1 0.9896 0.0559 0.560 0.440
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 1 0.9833 0.2900 0.576 0.424
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.3274 0.9175 0.060 0.940
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.3274 0.9175 0.060 0.940
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.0000 0.9137 1.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.5294 0.8597 0.880 0.120
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.0000 0.9137 1.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.3274 0.9175 0.060 0.940
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.6531 0.8968 0.168 0.832
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.4022 0.9195 0.080 0.920
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.3274 0.9175 0.060 0.940
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.9580 0.5550 0.380 0.620
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 2 0.0000 0.8762 0.000 1.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.0000 0.9137 1.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.0000 0.9137 1.000 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.5294 0.8597 0.880 0.120
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.8763 0.7102 0.704 0.296
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 1 0.0000 0.9137 1.000 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.0000 0.9137 1.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.7674 0.8371 0.224 0.776
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.0000 0.9137 1.000 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 1 0.0000 0.9137 1.000 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.3274 0.9175 0.060 0.940
#> FE2C169A-E41F-45EB-B61E-776493069D78 2 0.3431 0.9182 0.064 0.936
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.5059 0.9182 0.112 0.888
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.3274 0.9175 0.060 0.940
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 2 0.0000 0.8762 0.000 1.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.3274 0.8907 0.940 0.060
#> D58CE99E-A954-4555-AA01-6582C049B7ED 1 0.0672 0.9099 0.992 0.008
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 1 0.8443 0.5738 0.728 0.272
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 2 0.0000 0.8762 0.000 1.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 2 0.9795 0.0747 0.416 0.584
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 1 0.0000 0.9137 1.000 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.6247 0.8361 0.844 0.156
#> B40B9470-990D-4443-8484-17266E829557 1 0.0000 0.9137 1.000 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.5519 0.8550 0.872 0.128
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 2 0.6048 0.7585 0.148 0.852
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 1 0.7376 0.6943 0.792 0.208
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 1 0.0000 0.9137 1.000 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 1 0.0000 0.9137 1.000 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.6438 0.8302 0.836 0.164
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.7674 0.7924 0.776 0.224
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 1 0.0000 0.9137 1.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 1 0.0000 0.9137 1.000 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 1 0.0000 0.9137 1.000 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 2 0.3431 0.9182 0.064 0.936
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.3431 0.8893 0.936 0.064
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.0000 0.9137 1.000 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 2 0.3274 0.9175 0.060 0.940
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.6343 0.8331 0.840 0.160
#> 12B37C6C-03BB-4632-901E-524A46955B98 1 0.0000 0.9137 1.000 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 1 0.0000 0.9137 1.000 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 1 0.0000 0.9137 1.000 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 2 0.3431 0.9182 0.064 0.936
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 2 0.6343 0.9017 0.160 0.840
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 1 0.6623 0.8293 0.828 0.172
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.6438 0.8997 0.164 0.836
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 1 0.5294 0.8160 0.880 0.120
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.6438 0.8302 0.836 0.164
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.6247 0.9036 0.156 0.844
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.6438 0.8997 0.164 0.836
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.5294 0.9167 0.120 0.880
#> 77744579-17ED-499B-92FD-089789C44F8A 1 0.0000 0.9137 1.000 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 2 0.3274 0.9175 0.060 0.940
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 2 0.4298 0.9196 0.088 0.912
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.3274 0.8907 0.940 0.060
#> 2C2589E0-2055-43AC-8001-1643839F80D4 2 0.3114 0.9154 0.056 0.944
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 2 0.5294 0.9167 0.120 0.880
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 1 0.3274 0.8907 0.940 0.060
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 1 0.3274 0.8907 0.940 0.060
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.6531 0.8969 0.168 0.832
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 2 0.3431 0.9182 0.064 0.936
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 1 0.0000 0.9137 1.000 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 1 0.3274 0.8907 0.940 0.060
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 1 0.0000 0.9137 1.000 0.000
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 2 0.0000 0.8762 0.000 1.000
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 2 0.3274 0.9175 0.060 0.940
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 1 0.5519 0.8059 0.872 0.128
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 1 0.0000 0.9137 1.000 0.000
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 1 0.5294 0.8597 0.880 0.120
#> A3AC663C-1578-4946-AED3-2FF9A739168E 1 0.8763 0.5080 0.704 0.296
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 1 0.7674 0.6687 0.776 0.224
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 2 0.3274 0.9175 0.060 0.940
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 2 0.0000 0.8762 0.000 1.000
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 2 0.3274 0.9175 0.060 0.940
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 1 0.0000 0.9137 1.000 0.000
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 2 0.5059 0.9182 0.112 0.888
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 1 0.0000 0.9137 1.000 0.000
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 2 0.6623 0.8936 0.172 0.828
#> 5813BD59-3E38-4630-8735-F9F743F28160 2 0.3274 0.9175 0.060 0.940
#> 4ED692EB-E194-49D7-9222-6232051426E5 1 0.0000 0.9137 1.000 0.000
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 1 0.3274 0.8907 0.940 0.060
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 2 0.3274 0.9175 0.060 0.940
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 1 0.0000 0.9137 1.000 0.000
#> 64B33223-EB30-49ED-A3D8-5AC598845465 2 0.6438 0.8997 0.164 0.836
#> 21599029-B6C9-4385-B87C-FDB99F956118 2 0.3274 0.9175 0.060 0.940
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 1 0.0000 0.9137 1.000 0.000
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 2 0.6438 0.8997 0.164 0.836
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 1 0.0000 0.9137 1.000 0.000
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 1 0.0376 0.9118 0.996 0.004
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 1 0.0376 0.9118 0.996 0.004
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 1 0.3274 0.8907 0.940 0.060
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 2 0.6438 0.8997 0.164 0.836
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#> 3BED1BB9-EC6D-4B6B-9B4B-268067DA1C21 1 0.4298 0.8485 0.912 0.088
#> C405814A-66E1-45E3-957D-0F32CFE30BFA 2 0.7745 0.8320 0.228 0.772
#> 799673ED-C935-4CE9-B8F3-14EE41C25BA1 1 0.6247 0.8361 0.844 0.156
#> 2A37A64F-C93B-42B6-95D5-744EEFD07FD1 1 0.6438 0.8302 0.836 0.164
#> FA84E86B-3DB8-4A3F-817A-140DE7568611 1 0.0000 0.9137 1.000 0.000
#> D22F5C7C-3BAF-496A-8D3A-FB4D5F853E90 2 0.6438 0.8997 0.164 0.836
#> 3F76F946-07A9-4C0B-BA36-9524068D785B 2 0.3274 0.9175 0.060 0.940
#> 3977EBDA-AD30-4AA0-AC75-E33086DC533D 1 0.6712 0.7433 0.824 0.176
#> 8D361255-E352-4248-9FDF-0A6602CB419D 1 0.0000 0.9137 1.000 0.000
#> 18AE7FAE-0B1E-4F52-BEC6-6158E61EB679 1 0.0000 0.9137 1.000 0.000
#> 5F005483-D289-4A3E-BD1E-0A4B3C655951 2 0.5294 0.9169 0.120 0.880
#> D3803F45-EB0C-4FAD-8C7B-F3755FBF496D 2 0.3274 0.9175 0.060 0.940
#> DF8D09B4-1F48-4D86-A379-1BB16E114CBE 1 0.0000 0.9137 1.000 0.000
#> 2A6CB7AD-79C2-4D43-8D97-61A4A6A79D3B 1 0.3274 0.8907 0.940 0.060
#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 2 0.5294 0.9167 0.120 0.880
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 1 0.5737 0.8501 0.864 0.136
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 1 0.0000 0.9137 1.000 0.000
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 2 0.6343 0.9017 0.160 0.840
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 2 0.6343 0.9017 0.160 0.840
#> 16D23472-C0CB-49F9-9139-77920C50235F 1 0.0000 0.9137 1.000 0.000
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 2 0.6438 0.8997 0.164 0.836
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 2 0.5294 0.7930 0.120 0.880
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 1 0.0000 0.9137 1.000 0.000
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.6438 0.8302 0.836 0.164
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 1 0.5059 0.8264 0.888 0.112
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 2 0.6438 0.8997 0.164 0.836
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 1 0.0000 0.9137 1.000 0.000
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 1 0.0000 0.9137 1.000 0.000
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 1 0.2948 0.8811 0.948 0.052
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 2 0.3274 0.9175 0.060 0.940
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 1 0.3274 0.8907 0.940 0.060
#> D14A535D-5C31-4D78-8F92-3B50922211A2 2 0.0000 0.8762 0.000 1.000
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 1 0.0376 0.9118 0.996 0.004
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 1 0.6438 0.7594 0.836 0.164
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 2 0.5178 0.9175 0.116 0.884
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 2 0.0000 0.8762 0.000 1.000
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 1 0.0000 0.9137 1.000 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 2 0.6438 0.8997 0.164 0.836
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 1 0.0938 0.9078 0.988 0.012
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 1 0.0000 0.9137 1.000 0.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 1 0.0000 0.9137 1.000 0.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 1 0.0000 0.9137 1.000 0.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 1 0.2778 0.8963 0.952 0.048
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 1 0.9129 0.4394 0.672 0.328
#> 212CB113-E765-4146-AC8A-B34044E2A849 2 0.5294 0.9167 0.120 0.880
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.6343 0.8331 0.840 0.160
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 1 0.0000 0.9137 1.000 0.000
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 1 0.4690 0.8368 0.900 0.100
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 1 0.0000 0.9137 1.000 0.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 1 0.0000 0.9137 1.000 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.6438 0.8997 0.164 0.836
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 1 0.6531 0.8355 0.832 0.168
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.6438 0.8302 0.836 0.164
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 1 0.0000 0.9137 1.000 0.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 2 0.2948 0.9131 0.052 0.948
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.3274 0.8907 0.940 0.060
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 1 0.4431 0.8448 0.908 0.092
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 1 0.6973 0.7254 0.812 0.188
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 1 0.0000 0.9137 1.000 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 1 0.9323 0.6293 0.652 0.348
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 1 0.3274 0.8907 0.940 0.060
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 2 0.3274 0.9175 0.060 0.940
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 2 0.6438 0.8997 0.164 0.836
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.3274 0.8907 0.940 0.060
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 1 0.0000 0.9137 1.000 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 1 0.0000 0.9137 1.000 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 1 0.8386 0.5831 0.732 0.268
#> 560C9030-5EF4-466E-9149-BFB8215A512A 2 0.4562 0.9194 0.096 0.904
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 2 0.5408 0.7902 0.124 0.876
#> DD8F70E2-3827-4603-8971-E420450D919C 1 0.0000 0.9137 1.000 0.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 1 0.0000 0.9137 1.000 0.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.6438 0.8302 0.836 0.164
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 1 0.0000 0.9137 1.000 0.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 1 0.0000 0.9137 1.000 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.6438 0.8302 0.836 0.164
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.3274 0.8907 0.940 0.060
#> E336F811-7C92-438D-9929-EA40AA2932CB 1 0.1184 0.9054 0.984 0.016
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 1 0.9983 -0.0985 0.524 0.476
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.0000 0.9137 1.000 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.6247 0.9036 0.156 0.844
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 2 0.3274 0.9175 0.060 0.940
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.6438 0.8997 0.164 0.836
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 0.3274 0.8907 0.940 0.060
#> 62315297-B01F-4A7F-9C15-5B602099257F 2 0.3733 0.9190 0.072 0.928
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 1 0.9996 -0.1582 0.512 0.488
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 1 0.0376 0.9118 0.996 0.004
#> D7791F51-5151-4E21-802F-F61EE07D626F 1 0.0000 0.9137 1.000 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 1 0.9881 0.0782 0.564 0.436
#> 1707CA8B-228E-49F9-B78A-A0171E853376 2 0.4939 0.9187 0.108 0.892
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 2 0.3274 0.9175 0.060 0.940
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.5294 0.8597 0.880 0.120
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 1 0.0938 0.9101 0.988 0.012
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 2 0.3274 0.9175 0.060 0.940
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.0000 0.9137 1.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.0000 0.9137 1.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.6438 0.8302 0.836 0.164
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 2 0.5059 0.9182 0.112 0.888
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 1 0.0000 0.9137 1.000 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.9754 0.4925 0.408 0.592
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 1 0.9000 0.6811 0.684 0.316
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.5059 0.9182 0.112 0.888
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.6712 0.8901 0.176 0.824
#> E36F2243-58F5-41A0-A673-DEAFE0267426 2 0.3274 0.9175 0.060 0.940
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.6343 0.8331 0.840 0.160
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.0000 0.9137 1.000 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 1 0.0000 0.9137 1.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.0672 0.8756 0.008 0.992
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 2 0.3274 0.9175 0.060 0.940
#> E5D94733-7D43-4021-8F57-4426EF183682 2 0.3274 0.9175 0.060 0.940
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 0.8081 0.6943 0.752 0.248
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.9209 0.3621 0.336 0.664
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.0000 0.9137 1.000 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 1 0.0000 0.9137 1.000 0.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.6343 0.8331 0.840 0.160
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.0000 0.9137 1.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.0000 0.9137 1.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 1 0.0000 0.9137 1.000 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.0000 0.9137 1.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.0000 0.9137 1.000 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.0000 0.9137 1.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 1 0.0376 0.9118 0.996 0.004
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.9661 0.5325 0.392 0.608
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.0000 0.9137 1.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.3274 0.9175 0.060 0.940
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.0000 0.9137 1.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 2 0.1633 0.8711 0.024 0.976
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 1 0.4161 0.8503 0.916 0.084
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.3584 0.9186 0.068 0.932
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 1 0.7602 0.6743 0.780 0.220
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.2236 0.9015 0.964 0.036
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.5519 0.9144 0.128 0.872
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 1 0.0000 0.9137 1.000 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.0376 0.9126 0.996 0.004
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.6531 0.8968 0.168 0.832
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.0000 0.9137 1.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 1 0.0000 0.9137 1.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.3274 0.9175 0.060 0.940
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 1 0.0000 0.9137 1.000 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.6343 0.9017 0.160 0.840
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.3114 0.8926 0.944 0.056
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.3274 0.9175 0.060 0.940
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 2 0.0000 0.8762 0.000 1.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.0000 0.9137 1.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.0000 0.9137 1.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.9393 0.6154 0.356 0.644
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.6343 0.8331 0.840 0.160
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.5294 0.9167 0.120 0.880
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.0000 0.9137 1.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 1 0.0000 0.9137 1.000 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.5294 0.8597 0.880 0.120
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.3274 0.9175 0.060 0.940
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.3274 0.8907 0.940 0.060
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.6126 0.3687 0.400 0.600 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.0000 0.8382 1.000 0.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0000 0.8026 0.000 1.000 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.8382 1.000 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.4834 0.6719 0.004 0.792 0.204
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.9211 0.000 0.000 1.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.4887 0.5647 0.000 0.772 0.228
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.8382 1.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.6309 0.0431 0.500 0.500 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0000 0.9211 0.000 0.000 1.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.8382 1.000 0.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0000 0.8026 0.000 1.000 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.9417 0.1006 0.384 0.440 0.176
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.9211 0.000 0.000 1.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0000 0.8382 1.000 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.6215 0.2947 0.428 0.572 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.6140 0.3806 0.000 0.596 0.404
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.8338 0.1983 0.516 0.400 0.084
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.6126 0.3687 0.400 0.600 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.6244 0.2591 0.440 0.560 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0000 0.8026 0.000 1.000 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.0000 0.9211 0.000 0.000 1.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.4346 0.6923 0.000 0.816 0.184
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.9211 0.000 0.000 1.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0000 0.8382 1.000 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.6168 0.2773 0.588 0.412 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.6140 0.3590 0.404 0.596 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.5178 0.5163 0.000 0.744 0.256
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.6180 0.3279 0.416 0.584 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.0000 0.8026 0.000 1.000 0.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.5111 0.6339 0.024 0.808 0.168
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#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.6008 0.3157 0.000 0.372 0.628
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.0592 0.8348 0.988 0.012 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.6299 0.1371 0.476 0.524 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.6126 0.3687 0.400 0.600 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.9757 0.1603 0.228 0.392 0.380
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0000 0.9211 0.000 0.000 1.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.5138 0.5121 0.748 0.000 0.252
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.0000 0.8026 0.000 1.000 0.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.0747 0.7971 0.016 0.984 0.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.0000 0.8382 1.000 0.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.0000 0.8026 0.000 1.000 0.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.6126 0.3687 0.400 0.600 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0000 0.8382 1.000 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.1643 0.8178 0.956 0.044 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.0000 0.8026 0.000 1.000 0.000
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.0892 0.7943 0.000 0.980 0.020
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.4974 0.6236 0.764 0.236 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.5926 0.2983 0.000 0.644 0.356
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0000 0.9211 0.000 0.000 1.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.5988 0.3271 0.000 0.368 0.632
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 0.0237 0.8372 0.996 0.004 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0000 0.9211 0.000 0.000 1.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.0000 0.8026 0.000 1.000 0.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.0000 0.8026 0.000 1.000 0.000
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.0000 0.8026 0.000 1.000 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.0000 0.8026 0.000 1.000 0.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0000 0.9211 0.000 0.000 1.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.0000 0.9211 0.000 0.000 1.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.0000 0.8382 1.000 0.000 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.2066 0.7621 0.060 0.940 0.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0000 0.9211 0.000 0.000 1.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.6168 0.3386 0.412 0.588 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.6154 0.3490 0.408 0.592 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.0000 0.8382 1.000 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.9211 0.000 0.000 1.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.0000 0.8026 0.000 1.000 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.0000 0.8026 0.000 1.000 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 1 0.0000 0.8382 1.000 0.000 0.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0000 0.9211 0.000 0.000 1.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.0892 0.7943 0.000 0.980 0.020
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.9211 0.000 0.000 1.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0000 0.8382 1.000 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.6225 0.2142 0.568 0.432 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.5810 0.4847 0.336 0.664 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.4702 0.7251 0.212 0.000 0.788
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0000 0.9211 0.000 0.000 1.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.9211 0.000 0.000 1.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 0.5384 0.6274 0.788 0.024 0.188
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.3482 0.7137 0.872 0.000 0.128
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.6062 0.3504 0.616 0.384 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.0000 0.8026 0.000 1.000 0.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0000 0.8382 1.000 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.6280 0.1139 0.540 0.460 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.5650 0.5009 0.688 0.312 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0424 0.8002 0.008 0.992 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.6204 0.2407 0.576 0.424 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.6126 0.3687 0.400 0.600 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.6126 0.3687 0.400 0.600 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.0000 0.8026 0.000 1.000 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.6062 0.2855 0.000 0.384 0.616
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.6079 0.3925 0.388 0.612 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.9211 0.000 0.000 1.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.2625 0.7605 0.084 0.916 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.5810 0.3241 0.664 0.000 0.336
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.0000 0.8026 0.000 1.000 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.9211 0.000 0.000 1.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.4346 0.6931 0.000 0.816 0.184
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.2165 0.8039 0.936 0.064 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.4235 0.7315 0.000 0.176 0.824
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.0000 0.8026 0.000 1.000 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.3412 0.7513 0.876 0.124 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.0592 0.7979 0.000 0.988 0.012
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.6126 0.3687 0.400 0.600 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.0000 0.8026 0.000 1.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.0000 0.9211 0.000 0.000 1.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.0000 0.8026 0.000 1.000 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.1643 0.7810 0.000 0.956 0.044
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.0747 0.8333 0.984 0.016 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0000 0.9211 0.000 0.000 1.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 3 0.2165 0.8776 0.064 0.000 0.936
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.6026 0.3688 0.624 0.376 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.6295 0.0665 0.528 0.472 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.5465 0.5732 0.000 0.712 0.288
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0000 0.8382 1.000 0.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0000 0.9211 0.000 0.000 1.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.6154 0.3490 0.408 0.592 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.0000 0.8026 0.000 1.000 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0000 0.8382 1.000 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.9211 0.000 0.000 1.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.0000 0.8382 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0707 0.82942 0.020 0.980 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.0707 0.89987 0.980 0.020 0.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0336 0.82723 0.000 0.992 0.000 0.008
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0188 0.90539 0.996 0.004 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0592 0.82877 0.000 0.984 0.016 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.0188 0.91570 0.004 0.000 0.000 0.996
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0188 0.90539 0.996 0.004 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.4746 0.54513 0.368 0.632 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.1474 0.87496 0.948 0.000 0.000 0.052
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.2011 0.89123 0.000 0.080 0.000 0.920
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.1489 0.82514 0.004 0.952 0.044 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0336 0.90549 0.992 0.008 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.4817 0.50631 0.388 0.612 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.3400 0.74403 0.000 0.820 0.180 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.5032 0.75708 0.156 0.764 0.080 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.2589 0.80640 0.116 0.884 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.1637 0.82395 0.060 0.940 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 4 0.4790 0.53375 0.000 0.380 0.000 0.620
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0376 0.82876 0.000 0.992 0.004 0.004
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0336 0.90549 0.992 0.008 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.3688 0.75068 0.208 0.792 0.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0188 0.82921 0.004 0.996 0.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.0188 0.91570 0.004 0.000 0.000 0.996
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.3801 0.74035 0.220 0.780 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.3486 0.81384 0.000 0.188 0.000 0.812
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.0469 0.91291 0.012 0.000 0.000 0.988
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.3649 0.75449 0.204 0.796 0.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0336 0.90549 0.992 0.008 0.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.2216 0.81531 0.092 0.908 0.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.0188 0.91687 0.000 0.004 0.000 0.996
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 4 0.2868 0.82273 0.000 0.136 0.000 0.864
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 3 0.3402 0.78195 0.164 0.000 0.832 0.004
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.4164 0.69618 0.264 0.736 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.3873 0.73347 0.228 0.772 0.000 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.0336 0.90549 0.992 0.008 0.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.0336 0.90549 0.992 0.008 0.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.1302 0.90921 0.000 0.044 0.000 0.956
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0592 0.82698 0.000 0.984 0.000 0.016
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.0188 0.91687 0.000 0.004 0.000 0.996
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.4614 0.76495 0.064 0.792 0.000 0.144
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.0336 0.91700 0.000 0.008 0.000 0.992
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 4 0.4262 0.66348 0.008 0.000 0.236 0.756
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.0336 0.91439 0.008 0.000 0.000 0.992
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.1118 0.90496 0.000 0.036 0.964 0.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.3107 0.81882 0.884 0.000 0.080 0.036
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.4277 0.60882 0.720 0.280 0.000 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.0469 0.91683 0.000 0.012 0.000 0.988
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.2266 0.81052 0.004 0.912 0.084 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.2814 0.81797 0.132 0.000 0.868 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.1284 0.88751 0.964 0.000 0.024 0.012
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.0707 0.91593 0.000 0.020 0.000 0.980
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.0188 0.90363 0.996 0.000 0.000 0.004
#> B40B9470-990D-4443-8484-17266E829557 2 0.1118 0.82818 0.036 0.964 0.000 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.0817 0.89920 0.976 0.024 0.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 3 0.5288 0.12335 0.472 0.008 0.520 0.000
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.3791 0.72536 0.004 0.796 0.200 0.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0188 0.82806 0.000 0.996 0.000 0.004
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.2469 0.76744 0.000 0.892 0.000 0.108
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0336 0.90549 0.992 0.008 0.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.0188 0.90539 0.996 0.004 0.000 0.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0336 0.82956 0.008 0.992 0.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 4 0.4761 0.56568 0.000 0.372 0.000 0.628
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.3311 0.77674 0.172 0.828 0.000 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.0336 0.90549 0.992 0.008 0.000 0.000
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#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.4817 0.44219 0.000 0.612 0.388 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 0.3569 0.72121 0.804 0.196 0.000 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.0188 0.91570 0.004 0.000 0.000 0.996
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.0336 0.91439 0.008 0.000 0.000 0.992
#> D7791F51-5151-4E21-802F-F61EE07D626F 4 0.3486 0.81224 0.000 0.188 0.000 0.812
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 4 0.4624 0.62479 0.000 0.340 0.000 0.660
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.0524 0.92578 0.008 0.000 0.988 0.004
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.3024 0.78169 0.852 0.148 0.000 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.5113 0.52924 0.264 0.704 0.000 0.032
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.3801 0.74035 0.220 0.780 0.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.5204 0.50931 0.376 0.612 0.000 0.012
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.3024 0.78210 0.852 0.148 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.0000 0.91642 0.000 0.000 0.000 1.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.0336 0.91700 0.000 0.008 0.000 0.992
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 1 0.4872 0.30108 0.640 0.356 0.004 0.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 4 0.2345 0.87937 0.000 0.100 0.000 0.900
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0188 0.90539 0.996 0.004 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.2868 0.79701 0.136 0.864 0.000 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.1042 0.83063 0.020 0.972 0.000 0.008
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.2334 0.83867 0.908 0.000 0.088 0.004
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.4755 0.71768 0.040 0.760 0.200 0.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.5186 0.40358 0.640 0.016 0.344 0.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.3726 0.74734 0.212 0.788 0.000 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.0707 0.91593 0.000 0.020 0.000 0.980
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0336 0.90549 0.992 0.008 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.3907 0.72990 0.232 0.768 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.0779 0.90064 0.980 0.004 0.000 0.016
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0336 0.82723 0.000 0.992 0.000 0.008
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.3837 0.73681 0.224 0.776 0.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.1211 0.82771 0.040 0.960 0.000 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0336 0.82956 0.008 0.992 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.0000 0.91642 0.000 0.000 0.000 1.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.5060 0.31949 0.412 0.004 0.584 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0188 0.82806 0.000 0.996 0.000 0.004
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.3390 0.78311 0.016 0.852 0.000 0.132
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0524 0.90103 0.988 0.000 0.004 0.008
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.1118 0.91218 0.000 0.036 0.000 0.964
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.0336 0.82803 0.000 0.992 0.008 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.3219 0.78187 0.164 0.836 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.2760 0.81401 0.000 0.128 0.872 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.0469 0.91683 0.000 0.012 0.000 0.988
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.4967 -0.04922 0.548 0.452 0.000 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.0592 0.91645 0.000 0.016 0.000 0.984
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0469 0.82961 0.012 0.988 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.1022 0.91315 0.000 0.032 0.000 0.968
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.0188 0.92992 0.004 0.000 0.996 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.1022 0.91321 0.000 0.032 0.000 0.968
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.0336 0.91439 0.008 0.000 0.000 0.992
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.4977 -0.08041 0.540 0.460 0.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.4072 0.63432 0.000 0.000 0.748 0.252
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.4331 0.53909 0.712 0.000 0.288 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.3873 0.73335 0.228 0.772 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.3356 0.77367 0.176 0.824 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 4 0.6121 0.31632 0.000 0.052 0.396 0.552
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.1211 0.88349 0.960 0.000 0.000 0.040
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.0188 0.82921 0.004 0.996 0.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.4331 0.70432 0.000 0.288 0.000 0.712
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0336 0.90549 0.992 0.008 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.93267 0.000 0.000 1.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.0921 0.89533 0.972 0.028 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 5 0.4890 0.13957 0.024 0.452 0.000 0.000 0.524
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.3913 0.36251 0.676 0.000 0.000 0.000 0.324
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.1341 0.79952 0.000 0.944 0.000 0.000 0.056
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0290 0.83749 0.992 0.000 0.000 0.000 0.008
#> 82DA87CF-C067-44B3-A372-ECB056337B08 5 0.3523 0.67142 0.000 0.120 0.044 0.004 0.832
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.2286 0.86085 0.000 0.004 0.000 0.888 0.108
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.1579 0.82573 0.944 0.024 0.000 0.000 0.032
#> C7A75027-D49D-4D60-93A8-588487B5D690 5 0.3849 0.71795 0.232 0.016 0.000 0.000 0.752
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.3366 0.66514 0.000 0.000 0.768 0.000 0.232
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.4709 0.67367 0.748 0.020 0.000 0.180 0.052
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.2773 0.79219 0.000 0.164 0.000 0.836 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.3958 0.69667 0.000 0.776 0.040 0.000 0.184
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.1608 0.80091 0.928 0.000 0.000 0.000 0.072
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 5 0.3768 0.71861 0.228 0.008 0.000 0.004 0.760
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 5 0.6091 0.49037 0.000 0.172 0.268 0.000 0.560
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 5 0.5552 0.72671 0.180 0.048 0.072 0.000 0.700
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 5 0.5043 0.72281 0.160 0.136 0.000 0.000 0.704
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.4201 0.65627 0.044 0.752 0.000 0.000 0.204
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.4250 0.56762 0.000 0.720 0.000 0.252 0.028
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.4138 0.72990 0.148 0.000 0.780 0.000 0.072
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.2471 0.75914 0.000 0.864 0.000 0.000 0.136
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.2144 0.80564 0.912 0.068 0.000 0.000 0.020
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 5 0.6054 0.58393 0.172 0.260 0.000 0.000 0.568
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0693 0.80165 0.008 0.980 0.000 0.000 0.012
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.2471 0.85759 0.000 0.000 0.000 0.864 0.136
#> E4E13C28-C852-4783-87C8-A77C0436354E 5 0.2775 0.72347 0.076 0.036 0.000 0.004 0.884
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.5066 0.55560 0.000 0.344 0.000 0.608 0.048
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.1934 0.83965 0.016 0.004 0.000 0.928 0.052
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.3999 0.43964 0.000 0.000 0.656 0.000 0.344
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.6291 0.02840 0.164 0.492 0.000 0.000 0.344
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0510 0.83530 0.984 0.000 0.000 0.000 0.016
#> 2913A3F4-469F-4817-A608-3A0F38383197 5 0.6088 0.53234 0.156 0.296 0.000 0.000 0.548
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.3177 0.83646 0.000 0.000 0.000 0.792 0.208
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 5 0.3129 0.55734 0.008 0.004 0.000 0.156 0.832
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.4973 0.00355 0.496 0.000 0.480 0.004 0.020
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 5 0.4430 0.70864 0.256 0.036 0.000 0.000 0.708
#> 040D3276-2E61-426E-B182-AEE6C9778488 5 0.4527 0.70638 0.260 0.040 0.000 0.000 0.700
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.0451 0.83816 0.988 0.004 0.000 0.000 0.008
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.0290 0.83758 0.992 0.008 0.000 0.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 4 0.3616 0.85122 0.000 0.032 0.000 0.804 0.164
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.2612 0.77022 0.000 0.868 0.000 0.008 0.124
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.3969 0.76087 0.000 0.004 0.000 0.692 0.304
#> 9723BC03-C568-4F06-8912-484010C196D0 5 0.1628 0.67941 0.000 0.008 0.000 0.056 0.936
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.2848 0.81679 0.000 0.104 0.000 0.868 0.028
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 4 0.3037 0.81086 0.000 0.000 0.100 0.860 0.040
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.0703 0.85988 0.000 0.000 0.000 0.976 0.024
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.2280 0.80581 0.000 0.000 0.880 0.000 0.120
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.3973 0.76062 0.840 0.012 0.068 0.036 0.044
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.3796 0.54269 0.300 0.700 0.000 0.000 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.1845 0.84554 0.000 0.056 0.000 0.928 0.016
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.6618 -0.07622 0.000 0.396 0.216 0.000 0.388
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 3 0.4201 0.30222 0.408 0.000 0.592 0.000 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.2069 0.82023 0.924 0.000 0.012 0.012 0.052
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.2569 0.86359 0.000 0.040 0.000 0.892 0.068
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.0671 0.83588 0.980 0.000 0.000 0.004 0.016
#> B40B9470-990D-4443-8484-17266E829557 2 0.0579 0.80156 0.008 0.984 0.000 0.000 0.008
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.2723 0.75349 0.864 0.124 0.000 0.000 0.012
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 1 0.6474 0.22070 0.496 0.000 0.240 0.000 0.264
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 5 0.5466 0.60477 0.000 0.152 0.192 0.000 0.656
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.3366 0.66281 0.000 0.768 0.000 0.000 0.232
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.2685 0.78842 0.000 0.880 0.000 0.028 0.092
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.1012 0.83291 0.968 0.020 0.000 0.000 0.012
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.0510 0.83554 0.984 0.000 0.000 0.000 0.016
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.2890 0.73888 0.004 0.836 0.000 0.000 0.160
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.1605 0.78705 0.012 0.944 0.000 0.040 0.004
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.5974 0.55631 0.044 0.640 0.000 0.076 0.240
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.0404 0.83637 0.988 0.000 0.000 0.000 0.012
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 5 0.3814 0.68844 0.276 0.004 0.000 0.000 0.720
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.0290 0.83758 0.992 0.008 0.000 0.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.1043 0.79396 0.000 0.960 0.000 0.040 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.0955 0.79678 0.004 0.968 0.000 0.028 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.2719 0.75272 0.004 0.852 0.000 0.000 0.144
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0290 0.90049 0.000 0.000 0.992 0.000 0.008
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#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.1197 0.80049 0.000 0.952 0.000 0.000 0.048
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.0865 0.83378 0.972 0.024 0.000 0.000 0.004
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 4 0.4264 0.50749 0.000 0.376 0.000 0.620 0.004
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.2389 0.77128 0.004 0.880 0.000 0.000 0.116
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.1483 0.82958 0.952 0.012 0.000 0.008 0.028
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.1012 0.79786 0.020 0.968 0.000 0.012 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.3003 0.84476 0.000 0.000 0.000 0.812 0.188
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 5 0.4706 -0.40021 0.000 0.008 0.004 0.488 0.500
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 5 0.3796 0.66291 0.300 0.000 0.000 0.000 0.700
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.0703 0.85146 0.000 0.000 0.000 0.976 0.024
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.5908 0.40844 0.000 0.256 0.588 0.000 0.156
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.3612 0.61781 0.268 0.732 0.000 0.000 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.2719 0.85590 0.000 0.004 0.000 0.852 0.144
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.3333 0.83422 0.000 0.004 0.000 0.788 0.208
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.3669 0.68046 0.012 0.800 0.000 0.176 0.012
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.2011 0.77712 0.000 0.908 0.000 0.088 0.004
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.0290 0.90097 0.000 0.000 0.992 0.008 0.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.5388 0.29106 0.384 0.568 0.000 0.020 0.028
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.1278 0.79357 0.016 0.960 0.000 0.020 0.004
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 5 0.4087 0.72729 0.208 0.036 0.000 0.000 0.756
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 5 0.3659 0.71372 0.220 0.000 0.000 0.012 0.768
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.4197 0.64807 0.760 0.204 0.000 0.012 0.024
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.2648 0.85492 0.000 0.000 0.000 0.848 0.152
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.2228 0.84073 0.000 0.048 0.000 0.912 0.040
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 5 0.4161 0.54853 0.392 0.000 0.000 0.000 0.608
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 4 0.6210 0.55326 0.004 0.316 0.000 0.536 0.144
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0290 0.83749 0.992 0.000 0.000 0.000 0.008
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 5 0.5259 0.73012 0.160 0.112 0.016 0.000 0.712
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.1901 0.78894 0.012 0.928 0.000 0.056 0.004
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.4717 0.20035 0.584 0.000 0.020 0.000 0.396
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.7256 -0.08214 0.024 0.372 0.240 0.000 0.364
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.5543 0.40057 0.604 0.080 0.312 0.000 0.004
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 5 0.6301 0.51153 0.184 0.300 0.000 0.000 0.516
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.3461 0.82595 0.000 0.004 0.000 0.772 0.224
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0703 0.83213 0.976 0.000 0.000 0.000 0.024
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 5 0.4873 0.71168 0.244 0.068 0.000 0.000 0.688
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.4354 0.24099 0.624 0.000 0.000 0.008 0.368
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.1792 0.79040 0.000 0.916 0.000 0.000 0.084
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.6602 -0.24401 0.212 0.404 0.000 0.000 0.384
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 5 0.2889 0.71311 0.044 0.084 0.000 0.000 0.872
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.4510 0.20093 0.008 0.560 0.000 0.000 0.432
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.2377 0.85891 0.000 0.000 0.000 0.872 0.128
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.6494 0.42602 0.196 0.256 0.540 0.004 0.004
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0865 0.80174 0.004 0.972 0.000 0.000 0.024
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.2761 0.78316 0.000 0.872 0.000 0.024 0.104
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0740 0.83697 0.980 0.000 0.004 0.008 0.008
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.3882 0.75643 0.000 0.168 0.000 0.788 0.044
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.1341 0.79936 0.000 0.944 0.000 0.000 0.056
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.6341 -0.13820 0.160 0.444 0.000 0.000 0.396
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.2852 0.70968 0.000 0.828 0.172 0.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.2969 0.86097 0.000 0.020 0.000 0.852 0.128
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 5 0.4030 0.60520 0.352 0.000 0.000 0.000 0.648
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.1740 0.84782 0.000 0.056 0.000 0.932 0.012
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.4637 0.13410 0.012 0.536 0.000 0.000 0.452
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.3203 0.84947 0.000 0.012 0.000 0.820 0.168
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 5 0.4647 0.41426 0.016 0.000 0.352 0.004 0.628
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.3687 0.76627 0.000 0.180 0.000 0.792 0.028
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.1410 0.85359 0.000 0.000 0.000 0.940 0.060
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 5 0.3999 0.61731 0.344 0.000 0.000 0.000 0.656
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.4114 0.35553 0.000 0.000 0.624 0.376 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.3607 0.61070 0.752 0.000 0.244 0.000 0.004
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 5 0.4575 0.71644 0.236 0.052 0.000 0.000 0.712
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 5 0.4734 0.73063 0.176 0.096 0.000 0.000 0.728
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.6190 0.18815 0.008 0.516 0.388 0.076 0.012
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.2770 0.80234 0.880 0.000 0.000 0.076 0.044
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.1410 0.79805 0.000 0.940 0.000 0.000 0.060
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.2488 0.74487 0.000 0.872 0.000 0.124 0.004
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0510 0.83582 0.984 0.000 0.000 0.000 0.016
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.90372 0.000 0.000 1.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.3039 0.65988 0.808 0.000 0.000 0.000 0.192
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.3872 0.36410 0.604 0.392 0.000 0.000 0.000 0.004
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.4098 0.27719 0.548 0.004 0.004 0.000 0.444 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.3825 0.67431 0.072 0.768 0.000 0.000 0.000 0.160
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.0547 0.83915 0.020 0.000 0.000 0.000 0.980 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 1 0.5273 0.59307 0.688 0.124 0.056 0.000 0.000 0.132
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0260 0.88182 0.000 0.000 0.992 0.008 0.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 6 0.3936 0.35103 0.024 0.000 0.000 0.288 0.000 0.688
#> C590B811-A42F-4ED2-896A-513EFD42D62D 5 0.2776 0.78542 0.004 0.112 0.000 0.020 0.860 0.004
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.3261 0.70881 0.804 0.012 0.000 0.000 0.172 0.012
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.4176 0.63148 0.220 0.000 0.716 0.064 0.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.4226 0.66032 0.000 0.052 0.000 0.216 0.724 0.008
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.4026 0.65161 0.004 0.032 0.000 0.712 0.000 0.252
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.3717 0.53885 0.276 0.708 0.016 0.000 0.000 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.88254 0.000 0.000 1.000 0.000 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 5 0.2219 0.76498 0.136 0.000 0.000 0.000 0.864 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.2070 0.72735 0.892 0.000 0.000 0.008 0.100 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 1 0.5307 0.53593 0.636 0.192 0.160 0.000 0.000 0.012
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.3912 0.69209 0.804 0.096 0.076 0.000 0.016 0.008
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.2982 0.67670 0.828 0.152 0.000 0.000 0.012 0.008
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.5720 0.13486 0.400 0.436 0.000 0.164 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 4 0.6694 -0.07344 0.048 0.356 0.000 0.400 0.000 0.196
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.3925 0.70084 0.064 0.000 0.764 0.004 0.168 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.2623 0.68961 0.132 0.852 0.000 0.000 0.000 0.016
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0436 0.88098 0.000 0.000 0.988 0.004 0.004 0.004
#> 032E0758-7A5B-405B-88D3-74C527605780 5 0.3354 0.66714 0.004 0.240 0.000 0.000 0.752 0.004
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.5971 0.54215 0.580 0.252 0.000 0.000 0.112 0.056
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.1889 0.72937 0.056 0.920 0.000 0.020 0.004 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 6 0.4833 -0.17348 0.056 0.000 0.000 0.428 0.000 0.516
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.4286 0.70800 0.776 0.020 0.000 0.008 0.088 0.108
#> D48A0C08-C253-49EA-9083-DCA68541072B 6 0.4949 0.39312 0.000 0.100 0.004 0.256 0.000 0.640
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.3669 0.65227 0.000 0.004 0.000 0.760 0.028 0.208
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0146 0.88233 0.000 0.000 0.996 0.004 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.3899 0.26559 0.404 0.000 0.592 0.004 0.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.5678 0.33825 0.500 0.372 0.000 0.012 0.116 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.1814 0.79657 0.100 0.000 0.000 0.000 0.900 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.3265 0.60051 0.748 0.248 0.000 0.000 0.000 0.004
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0000 0.88254 0.000 0.000 1.000 0.000 0.000 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 6 0.4993 0.03913 0.080 0.000 0.000 0.360 0.000 0.560
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0508 0.88077 0.004 0.000 0.984 0.012 0.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0000 0.88254 0.000 0.000 1.000 0.000 0.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 6 0.4624 0.25132 0.452 0.000 0.000 0.024 0.008 0.516
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.4406 0.43395 0.000 0.000 0.336 0.040 0.624 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.2493 0.71541 0.884 0.076 0.000 0.004 0.036 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.3610 0.69513 0.768 0.028 0.004 0.000 0.200 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 5 0.0790 0.83621 0.032 0.000 0.000 0.000 0.968 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.0692 0.83971 0.004 0.020 0.000 0.000 0.976 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 6 0.0717 0.64044 0.000 0.008 0.000 0.016 0.000 0.976
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.5500 0.58335 0.188 0.584 0.000 0.224 0.000 0.004
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 6 0.5565 -0.06440 0.144 0.000 0.000 0.368 0.000 0.488
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.2245 0.69636 0.908 0.008 0.000 0.052 0.004 0.028
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.2249 0.65882 0.004 0.032 0.000 0.900 0.000 0.064
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 4 0.2714 0.66012 0.020 0.000 0.064 0.880 0.000 0.036
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.3971 0.39999 0.004 0.000 0.000 0.548 0.000 0.448
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.1951 0.83419 0.076 0.000 0.908 0.000 0.000 0.016
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0146 0.88233 0.000 0.000 0.996 0.004 0.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.1675 0.82820 0.000 0.008 0.024 0.032 0.936 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.5769 0.35175 0.004 0.548 0.000 0.056 0.340 0.052
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.4022 0.56659 0.004 0.008 0.000 0.628 0.000 0.360
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 1 0.5936 0.33235 0.460 0.256 0.284 0.000 0.000 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 5 0.3930 0.28431 0.000 0.000 0.420 0.004 0.576 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 5 0.2058 0.82338 0.048 0.000 0.024 0.000 0.916 0.012
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 4 0.4429 0.36933 0.000 0.028 0.000 0.548 0.000 0.424
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 5 0.1075 0.82909 0.048 0.000 0.000 0.000 0.952 0.000
#> B40B9470-990D-4443-8484-17266E829557 2 0.1723 0.72905 0.048 0.932 0.000 0.012 0.004 0.004
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 5 0.2946 0.73528 0.004 0.184 0.000 0.000 0.808 0.004
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#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 1 0.3269 0.65685 0.792 0.184 0.000 0.024 0.000 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 6 0.2135 0.58334 0.000 0.000 0.000 0.128 0.000 0.872
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 6 0.3282 0.60218 0.004 0.028 0.000 0.116 0.016 0.836
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 1 0.3668 0.55851 0.668 0.004 0.000 0.000 0.328 0.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 1 0.3622 0.66356 0.760 0.000 0.000 0.024 0.212 0.004
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.1719 0.72823 0.032 0.932 0.000 0.000 0.032 0.004
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 1 0.3514 0.67100 0.752 0.020 0.000 0.000 0.228 0.000
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 1 0.6775 -0.07278 0.420 0.068 0.000 0.344 0.000 0.168
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.3993 0.26831 0.400 0.008 0.592 0.000 0.000 0.000
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 5 0.2679 0.79440 0.004 0.096 0.000 0.032 0.868 0.000
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 4 0.4296 0.45628 0.004 0.244 0.000 0.700 0.000 0.052
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 1 0.4745 0.63108 0.704 0.084 0.192 0.000 0.000 0.020
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.1515 0.72823 0.020 0.944 0.000 0.028 0.000 0.008
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.2562 0.66478 0.172 0.828 0.000 0.000 0.000 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 4 0.1346 0.66526 0.008 0.016 0.000 0.952 0.000 0.024
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.2128 0.71600 0.008 0.912 0.004 0.008 0.064 0.004
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 5 0.0146 0.84026 0.000 0.004 0.000 0.000 0.996 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 1 0.5405 0.58281 0.660 0.072 0.000 0.000 0.068 0.200
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 6 0.1760 0.63850 0.000 0.028 0.004 0.012 0.020 0.936
#> B8A16628-2A0B-41AB-A057-82E2F855524D 5 0.1327 0.82159 0.064 0.000 0.000 0.000 0.936 0.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 4 0.3213 0.67990 0.004 0.008 0.000 0.784 0.000 0.204
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 1 0.4044 0.46316 0.704 0.000 0.000 0.040 0.000 0.256
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 1 0.3144 0.72602 0.844 0.048 0.000 0.004 0.100 0.004
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.4013 0.66820 0.004 0.788 0.048 0.016 0.140 0.004
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.3042 0.68973 0.032 0.836 0.000 0.000 0.128 0.004
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0000 0.88254 0.000 0.000 1.000 0.000 0.000 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 2 0.4780 0.39589 0.020 0.592 0.360 0.000 0.000 0.028
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 5 0.3271 0.64202 0.232 0.008 0.000 0.000 0.760 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 1 0.2892 0.72615 0.840 0.020 0.000 0.000 0.136 0.004
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 1 0.3417 0.64194 0.808 0.008 0.000 0.004 0.024 0.156
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 1 0.4088 0.65612 0.744 0.012 0.200 0.000 0.044 0.000
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0146 0.88233 0.000 0.000 0.996 0.004 0.000 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 5 0.0405 0.83983 0.000 0.004 0.008 0.000 0.988 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 6 0.4343 0.01051 0.000 0.028 0.000 0.380 0.000 0.592
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.1779 0.72548 0.064 0.920 0.000 0.000 0.000 0.016
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 5 0.1349 0.82712 0.000 0.056 0.000 0.000 0.940 0.004
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 6 0.3323 0.53045 0.008 0.204 0.000 0.008 0.000 0.780
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.2491 0.67376 0.164 0.836 0.000 0.000 0.000 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 5 0.0632 0.83767 0.000 0.024 0.000 0.000 0.976 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.3531 0.67295 0.004 0.804 0.000 0.152 0.032 0.008
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.5271 0.38808 0.104 0.000 0.000 0.516 0.000 0.380
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 6 0.1371 0.64351 0.040 0.004 0.000 0.004 0.004 0.948
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.3454 0.65587 0.760 0.000 0.000 0.012 0.224 0.004
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 4 0.3330 0.60637 0.000 0.000 0.000 0.716 0.000 0.284
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0000 0.88254 0.000 0.000 1.000 0.000 0.000 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 3 0.4526 0.60676 0.132 0.164 0.704 0.000 0.000 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.3921 0.49286 0.012 0.676 0.000 0.000 0.308 0.004
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.0260 0.88200 0.000 0.000 0.992 0.008 0.000 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 6 0.4885 -0.00373 0.068 0.000 0.000 0.372 0.000 0.560
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 6 0.2883 0.61479 0.076 0.000 0.000 0.036 0.020 0.868
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.5099 0.55360 0.004 0.644 0.000 0.236 0.004 0.112
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.5153 0.62688 0.024 0.676 0.000 0.152 0.000 0.148
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0000 0.88254 0.000 0.000 1.000 0.000 0.000 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.1124 0.86428 0.000 0.000 0.956 0.008 0.036 0.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.5482 0.42232 0.004 0.580 0.000 0.112 0.296 0.008
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.4106 0.65290 0.004 0.768 0.000 0.072 0.008 0.148
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0000 0.88254 0.000 0.000 1.000 0.000 0.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.3313 0.71610 0.808 0.024 0.000 0.000 0.160 0.008
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.2257 0.70769 0.904 0.004 0.000 0.060 0.028 0.004
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 5 0.3715 0.66259 0.004 0.236 0.004 0.008 0.744 0.004
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0458 0.87990 0.000 0.000 0.984 0.016 0.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.5031 0.31535 0.072 0.000 0.000 0.480 0.000 0.448
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.3323 0.66080 0.000 0.008 0.000 0.752 0.000 0.240
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 1 0.3706 0.46481 0.620 0.000 0.000 0.000 0.380 0.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0000 0.88254 0.000 0.000 1.000 0.000 0.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 6 0.1668 0.63223 0.000 0.060 0.004 0.008 0.000 0.928
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0146 0.88233 0.000 0.000 0.996 0.004 0.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 5 0.0713 0.83703 0.028 0.000 0.000 0.000 0.972 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.2699 0.69389 0.856 0.124 0.012 0.000 0.008 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.3702 0.63913 0.004 0.752 0.000 0.224 0.012 0.008
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.4932 -0.08747 0.480 0.000 0.044 0.000 0.468 0.008
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.2678 0.78077 0.000 0.020 0.860 0.004 0.000 0.116
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0146 0.88186 0.000 0.000 0.996 0.000 0.000 0.004
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.5734 -0.00456 0.420 0.468 0.092 0.000 0.016 0.004
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 5 0.6077 0.27981 0.004 0.176 0.328 0.004 0.484 0.004
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.4429 0.39508 0.600 0.372 0.000 0.000 0.012 0.016
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 6 0.1801 0.63647 0.056 0.000 0.000 0.016 0.004 0.924
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 5 0.1501 0.81250 0.076 0.000 0.000 0.000 0.924 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.3402 0.70853 0.820 0.120 0.000 0.000 0.052 0.008
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.5574 0.36948 0.512 0.000 0.000 0.332 0.156 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.3900 0.71831 0.092 0.784 0.000 0.116 0.000 0.008
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.4274 0.28642 0.560 0.424 0.000 0.000 0.008 0.008
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.4783 0.66890 0.728 0.072 0.000 0.000 0.052 0.148
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.4116 0.29745 0.572 0.416 0.000 0.000 0.000 0.012
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.4593 0.44126 0.044 0.000 0.000 0.576 0.000 0.380
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.8624 -0.03156 0.012 0.124 0.308 0.256 0.232 0.068
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.1789 0.72901 0.032 0.924 0.000 0.044 0.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0260 0.88137 0.000 0.000 0.992 0.008 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.4949 0.63448 0.144 0.648 0.000 0.208 0.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 5 0.0146 0.84026 0.000 0.004 0.000 0.000 0.996 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.5764 0.37048 0.004 0.164 0.000 0.496 0.000 0.336
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0146 0.88186 0.000 0.000 0.996 0.000 0.000 0.004
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.4733 0.67109 0.068 0.728 0.020 0.012 0.000 0.172
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.4118 0.37363 0.592 0.396 0.000 0.000 0.004 0.008
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.4616 0.38615 0.000 0.592 0.368 0.032 0.000 0.008
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.4261 0.39335 0.008 0.008 0.000 0.568 0.000 0.416
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.4328 0.49036 0.620 0.000 0.004 0.024 0.352 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 6 0.3797 0.30629 0.000 0.016 0.000 0.292 0.000 0.692
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.4181 0.11651 0.512 0.476 0.000 0.000 0.000 0.012
#> F17C0E73-4C34-4F82-8562-56985A59316C 6 0.0891 0.63919 0.000 0.008 0.000 0.024 0.000 0.968
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 1 0.4099 0.54903 0.696 0.000 0.272 0.008 0.024 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 6 0.4808 0.46098 0.004 0.140 0.000 0.156 0.004 0.696
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.2560 0.68398 0.036 0.000 0.000 0.872 0.000 0.092
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.3606 0.63231 0.724 0.004 0.000 0.008 0.264 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.5557 0.27634 0.032 0.000 0.572 0.316 0.000 0.080
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 5 0.2462 0.76550 0.000 0.004 0.132 0.004 0.860 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.3597 0.72098 0.824 0.080 0.000 0.028 0.068 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.2333 0.69118 0.872 0.120 0.000 0.000 0.004 0.004
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 6 0.7187 0.08319 0.000 0.276 0.076 0.252 0.004 0.392
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 5 0.3227 0.78199 0.060 0.000 0.000 0.116 0.824 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0000 0.88254 0.000 0.000 1.000 0.000 0.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.2113 0.71514 0.092 0.896 0.000 0.000 0.004 0.008
#> 44A16F74-F823-4B27-AC3B-52526426199B 6 0.3903 0.40941 0.012 0.304 0.000 0.004 0.000 0.680
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 5 0.1075 0.83042 0.048 0.000 0.000 0.000 0.952 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.88254 0.000 0.000 1.000 0.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 5 0.2823 0.68549 0.204 0.000 0.000 0.000 0.796 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["ATC", "hclust"]
# you can also extract it by
# res = res_list["ATC:hclust"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4, 5, 6.
#> On a matrix with 17395 rows and 473 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'hclust' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.722 0.860 0.940 0.338 0.659 0.659
#> 3 3 0.492 0.724 0.861 0.454 0.827 0.744
#> 4 4 0.428 0.655 0.804 0.310 0.732 0.522
#> 5 5 0.472 0.602 0.743 0.108 0.931 0.801
#> 6 6 0.490 0.542 0.683 0.060 0.932 0.782
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
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.95160 0.000 1.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.9944 0.00588 0.456 0.544
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0000 0.95160 0.000 1.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.2603 0.85446 0.956 0.044
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0000 0.95160 0.000 1.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.1414 0.93720 0.020 0.980
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.0000 0.95160 0.000 1.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.85811 1.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.0000 0.95160 0.000 1.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.0000 0.95160 0.000 1.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.85811 1.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0000 0.95160 0.000 1.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.0938 0.94334 0.012 0.988
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.0000 0.95160 0.000 1.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.1184 0.85744 0.984 0.016
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.0938 0.94336 0.012 0.988
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.0000 0.95160 0.000 1.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.0000 0.95160 0.000 1.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0000 0.95160 0.000 1.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0000 0.95160 0.000 1.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0000 0.95160 0.000 1.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 1 0.9993 0.23220 0.516 0.484
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0000 0.95160 0.000 1.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 1 0.6712 0.79819 0.824 0.176
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0000 0.85811 1.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0000 0.95160 0.000 1.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0672 0.94623 0.008 0.992
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.0000 0.95160 0.000 1.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0000 0.95160 0.000 1.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.0376 0.94895 0.004 0.996
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.9896 0.07777 0.440 0.560
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.0000 0.95160 0.000 1.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.0000 0.95160 0.000 1.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0000 0.95160 0.000 1.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.1184 0.85744 0.984 0.016
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0000 0.95160 0.000 1.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.0000 0.95160 0.000 1.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.0000 0.95160 0.000 1.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.0000 0.95160 0.000 1.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.0000 0.95160 0.000 1.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.0000 0.95160 0.000 1.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.6148 0.81341 0.848 0.152
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.0000 0.95160 0.000 1.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.0000 0.95160 0.000 1.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.9552 0.52538 0.624 0.376
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.0000 0.85811 1.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.0000 0.95160 0.000 1.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0000 0.95160 0.000 1.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.0000 0.95160 0.000 1.000
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.0000 0.95160 0.000 1.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.0000 0.95160 0.000 1.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.2603 0.91627 0.044 0.956
#> FE2C169A-E41F-45EB-B61E-776493069D78 1 0.9775 0.44629 0.588 0.412
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.1184 0.94068 0.016 0.984
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.0000 0.95160 0.000 1.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0000 0.85811 1.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.9795 0.43897 0.584 0.416
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.0000 0.95160 0.000 1.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.0000 0.95160 0.000 1.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.0000 0.85811 1.000 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.3274 0.85180 0.940 0.060
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.0000 0.95160 0.000 1.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.3274 0.85172 0.940 0.060
#> B40B9470-990D-4443-8484-17266E829557 2 0.0000 0.95160 0.000 1.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.0000 0.85811 1.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 1 0.9580 0.51723 0.620 0.380
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.0000 0.95160 0.000 1.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0000 0.95160 0.000 1.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.0000 0.95160 0.000 1.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0000 0.85811 1.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.9795 0.43668 0.584 0.416
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0000 0.95160 0.000 1.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.0938 0.94356 0.012 0.988
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.0000 0.95160 0.000 1.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 2 0.1843 0.93094 0.028 0.972
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.4562 0.84010 0.904 0.096
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.0000 0.95160 0.000 1.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 1 0.6148 0.81341 0.848 0.152
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.0000 0.85811 1.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.0000 0.95160 0.000 1.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.0000 0.95160 0.000 1.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.0000 0.95160 0.000 1.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 2 0.0000 0.95160 0.000 1.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 2 0.0000 0.95160 0.000 1.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 1 0.0000 0.85811 1.000 0.000
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.0000 0.95160 0.000 1.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 2 0.0000 0.95160 0.000 1.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0000 0.85811 1.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.0000 0.95160 0.000 1.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.0000 0.95160 0.000 1.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.0000 0.95160 0.000 1.000
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.0000 0.95160 0.000 1.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 2 0.0000 0.95160 0.000 1.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 2 0.0000 0.95160 0.000 1.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 2 0.9944 0.00588 0.456 0.544
#> 2C2589E0-2055-43AC-8001-1643839F80D4 2 0.7453 0.69737 0.212 0.788
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 2 0.0000 0.95160 0.000 1.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 2 0.9129 0.45367 0.328 0.672
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 2 0.8016 0.64074 0.244 0.756
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.0000 0.95160 0.000 1.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 2 0.9795 0.16115 0.416 0.584
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.0000 0.95160 0.000 1.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 1 0.5946 0.81836 0.856 0.144
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.0000 0.95160 0.000 1.000
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 1 0.0000 0.85811 1.000 0.000
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 2 0.6048 0.79656 0.148 0.852
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 2 0.0000 0.95160 0.000 1.000
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 2 0.0376 0.94895 0.004 0.996
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 1 0.3431 0.85071 0.936 0.064
#> A3AC663C-1578-4946-AED3-2FF9A739168E 2 0.0000 0.95160 0.000 1.000
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.0000 0.95160 0.000 1.000
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 2 0.0000 0.95160 0.000 1.000
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 1 0.5737 0.82260 0.864 0.136
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 2 0.9209 0.42709 0.336 0.664
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 2 0.0000 0.95160 0.000 1.000
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 2 0.0000 0.95160 0.000 1.000
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 2 0.0000 0.95160 0.000 1.000
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 2 0.0000 0.95160 0.000 1.000
#> 5813BD59-3E38-4630-8735-F9F743F28160 1 0.9996 0.22692 0.512 0.488
#> 4ED692EB-E194-49D7-9222-6232051426E5 2 0.0000 0.95160 0.000 1.000
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 2 0.8386 0.59501 0.268 0.732
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 2 0.6623 0.76323 0.172 0.828
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 2 0.5629 0.81586 0.132 0.868
#> 64B33223-EB30-49ED-A3D8-5AC598845465 2 0.0000 0.95160 0.000 1.000
#> 21599029-B6C9-4385-B87C-FDB99F956118 2 0.1633 0.93397 0.024 0.976
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 2 0.0000 0.95160 0.000 1.000
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 2 0.0000 0.95160 0.000 1.000
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 2 0.0000 0.95160 0.000 1.000
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 2 0.0000 0.95160 0.000 1.000
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 2 0.0000 0.95160 0.000 1.000
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 1 0.3274 0.85161 0.940 0.060
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 2 0.0000 0.95160 0.000 1.000
#> 8902E88F-181A-46FE-9C80-F11C107B33E4 2 0.0938 0.94324 0.012 0.988
#> 24F2D373-AE15-47B0-8F1B-740426145C2C 2 0.0376 0.94895 0.004 0.996
#> A154A921-EB14-48DF-BF70-AE765CCE5CAB 1 0.7815 0.74798 0.768 0.232
#> D508AD79-2273-4E78-A6EE-97FBAAC7E851 2 0.0000 0.95160 0.000 1.000
#> 023D7F8E-5BD5-4AE8-8A7F-1851AA7F228A 2 0.0938 0.94336 0.012 0.988
#> 3BDE962B-6791-40BC-B3AA-C4D527FFEF22 1 0.7602 0.75939 0.780 0.220
#> 2F2D34BA-A568-470E-B0D9-5875E897FF39 2 0.0000 0.95160 0.000 1.000
#> 6DB55201-3973-4650-842E-842D5869C567 1 0.0000 0.85811 1.000 0.000
#> 258CFB91-4E4F-48F9-A483-9F6C4CFF0D3C 2 0.0000 0.95160 0.000 1.000
#> 5373681D-9C2C-46FE-AA89-05741DA4080B 1 0.0000 0.85811 1.000 0.000
#> 050B778A-9D6F-4742-B6AA-CBF8541F6203 2 0.1414 0.93758 0.020 0.980
#> 46FAC69E-DB01-452F-A3EE-D7339DD562CE 2 0.3879 0.88229 0.076 0.924
#> 2115D9F7-F4A9-4408-9AEF-BCFAF10C4867 2 0.5737 0.81003 0.136 0.864
#> DCEFC413-9710-4863-A5B1-8EFBA98CF126 2 0.6887 0.74272 0.184 0.816
#> 49CA7C56-BD81-4E36-9E50-EF36EDDD8D28 2 0.9087 0.46543 0.324 0.676
#> 9A497869-8F26-438D-85B0-C2CB39E487AE 2 0.0376 0.94895 0.004 0.996
#> D7B44985-AF29-44DF-8966-1228629EE8E2 2 0.5294 0.83259 0.120 0.880
#> 65343EA3-C1AA-4AA6-BC96-D8DE39E48000 2 0.0000 0.95160 0.000 1.000
#> 38C30CDE-2564-40A0-9594-FFA8D8330585 2 0.0000 0.95160 0.000 1.000
#> 660A826B-C49F-4D57-9778-C2FCD600FFA1 2 0.0000 0.95160 0.000 1.000
#> C5F7AAB7-8C35-4AC8-BFD2-6F3C9F3F9586 2 0.1184 0.94052 0.016 0.984
#> FE7A09A1-ACB3-4E9C-A481-060678E3FBDC 2 0.0000 0.95160 0.000 1.000
#> 9FFF1766-C9CA-4226-8790-2D1676E26A22 1 0.5946 0.81836 0.856 0.144
#> 33BFFD24-DEF0-4FDE-B20D-482BE6E8C4CD 2 0.0000 0.95160 0.000 1.000
#> 7F675A21-3434-4901-A600-9CFC13C2C7B0 2 0.0000 0.95160 0.000 1.000
#> 131A1435-2526-4B73-ABB0-320A589C54EC 2 0.0000 0.95160 0.000 1.000
#> 60373CCE-BBCD-4226-9C3E-A25A3CE37341 2 0.9944 -0.00957 0.456 0.544
#> 464067A5-10EF-4610-89F2-0E45B573C686 2 0.0000 0.95160 0.000 1.000
#> 2217BE58-6746-4470-84BD-6CEF5729DFF2 2 0.0000 0.95160 0.000 1.000
#> 89961F87-A925-4C21-A539-252B18B7EEEF 2 0.0000 0.95160 0.000 1.000
#> 2227F694-4AEC-47FE-BA93-66E3F3A050DD 1 0.0000 0.85811 1.000 0.000
#> 1D7B5AE2-6EC0-463E-9F40-D3275E1F9B85 2 0.0000 0.95160 0.000 1.000
#> 59629DB1-4340-4C69-A645-74F3E68D5ECF 1 0.0000 0.85811 1.000 0.000
#> BA704541-8DEE-4BBB-A26C-F284E6D594F2 2 0.0000 0.95160 0.000 1.000
#> AD642CBE-6C2E-4DCE-A437-AAED853A397F 2 0.0000 0.95160 0.000 1.000
#> E632B73A-ABCE-49B3-AA7C-F4C667E82F68 2 0.0000 0.95160 0.000 1.000
#> 7D7169DA-6C85-478A-A5D9-3002B866F047 2 0.0376 0.94895 0.004 0.996
#> 7C6CB665-CBE3-4EFE-8D7C-07174652B98C 2 0.0000 0.95160 0.000 1.000
#> 4C2CECF0-6451-402A-A240-2575BE56B586 2 0.8081 0.63672 0.248 0.752
#> 2A68310D-68D7-4289-A853-2EED655925C3 2 0.0000 0.95160 0.000 1.000
#> 31CB30F4-80A7-42F3-8473-5CC2F7732CE8 2 0.0376 0.94897 0.004 0.996
#> 4B8331D1-B415-443B-8444-4B81FBE220D6 1 0.3114 0.85252 0.944 0.056
#> D1F95FC3-270E-4826-9FC4-457F7764AD55 2 0.2423 0.91970 0.040 0.960
#> 7FB2D23A-8031-4F4F-AECA-CB6A69F714DB 2 0.0000 0.95160 0.000 1.000
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#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.0000 0.95160 0.000 1.000
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.0000 0.95160 0.000 1.000
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.0000 0.95160 0.000 1.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.0000 0.95160 0.000 1.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.0000 0.95160 0.000 1.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.9909 0.05978 0.444 0.556
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.0000 0.85811 1.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.0938 0.94349 0.012 0.988
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 1 0.5737 0.82260 0.864 0.136
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.9866 0.10852 0.432 0.568
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.0000 0.95160 0.000 1.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.0000 0.95160 0.000 1.000
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.0000 0.95160 0.000 1.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.8955 0.49386 0.312 0.688
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.8955 0.49386 0.312 0.688
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 2 0.0000 0.95160 0.000 1.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 2 0.0000 0.95160 0.000 1.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.3733 0.88767 0.072 0.928
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.2423 0.91880 0.040 0.960
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.0000 0.95160 0.000 1.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.1633 0.93404 0.024 0.976
#> 560C9030-5EF4-466E-9149-BFB8215A512A 2 0.0000 0.95160 0.000 1.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.0000 0.85811 1.000 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.0000 0.95160 0.000 1.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.0000 0.95160 0.000 1.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.0000 0.85811 1.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.0000 0.95160 0.000 1.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.0000 0.95160 0.000 1.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0000 0.85811 1.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.8713 0.67159 0.708 0.292
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.0000 0.95160 0.000 1.000
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.0000 0.95160 0.000 1.000
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.0000 0.95160 0.000 1.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.0000 0.95160 0.000 1.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 2 0.0000 0.95160 0.000 1.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.0000 0.95160 0.000 1.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.9866 0.10746 0.432 0.568
#> 62315297-B01F-4A7F-9C15-5B602099257F 2 0.0000 0.95160 0.000 1.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.0000 0.95160 0.000 1.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.9754 0.20114 0.408 0.592
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.0000 0.95160 0.000 1.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.0000 0.95160 0.000 1.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 2 0.0938 0.94368 0.012 0.988
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 2 0.5294 0.83300 0.120 0.880
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.6623 0.80072 0.828 0.172
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 1 0.9850 0.40752 0.572 0.428
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 2 0.0000 0.95160 0.000 1.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.0000 0.95160 0.000 1.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.0000 0.95160 0.000 1.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.0000 0.85811 1.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 2 0.0000 0.95160 0.000 1.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.0000 0.95160 0.000 1.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.0000 0.95160 0.000 1.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.0938 0.94336 0.012 0.988
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.0000 0.95160 0.000 1.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 1 0.9983 0.26509 0.524 0.476
#> E36F2243-58F5-41A0-A673-DEAFE0267426 2 0.0000 0.95160 0.000 1.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0000 0.85811 1.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.0000 0.95160 0.000 1.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0000 0.95160 0.000 1.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.9248 0.59357 0.660 0.340
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 2 0.3879 0.88339 0.076 0.924
#> E5D94733-7D43-4021-8F57-4426EF183682 2 0.1843 0.93064 0.028 0.972
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.9248 0.41656 0.340 0.660
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.9491 0.34113 0.368 0.632
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.0000 0.95160 0.000 1.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.7376 0.70574 0.208 0.792
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.2423 0.85499 0.960 0.040
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0000 0.95160 0.000 1.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0000 0.95160 0.000 1.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0000 0.95160 0.000 1.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0000 0.95160 0.000 1.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.0000 0.95160 0.000 1.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.95160 0.000 1.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.0000 0.95160 0.000 1.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.0672 0.94623 0.008 0.992
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.95160 0.000 1.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.0000 0.95160 0.000 1.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0000 0.95160 0.000 1.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0000 0.85811 1.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.0000 0.95160 0.000 1.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.0000 0.95160 0.000 1.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.0000 0.95160 0.000 1.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0376 0.94897 0.004 0.996
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.0000 0.95160 0.000 1.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.0000 0.95160 0.000 1.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.0938 0.94336 0.012 0.988
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.0000 0.95160 0.000 1.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.95160 0.000 1.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.0000 0.95160 0.000 1.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.0000 0.95160 0.000 1.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.0000 0.95160 0.000 1.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.0000 0.95160 0.000 1.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.0938 0.94336 0.012 0.988
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.1184 0.94033 0.016 0.984
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.0000 0.85811 1.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.0000 0.95160 0.000 1.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0000 0.95160 0.000 1.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.4161 0.87564 0.084 0.916
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.7219 0.77852 0.800 0.200
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.0000 0.95160 0.000 1.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.0672 0.94638 0.008 0.992
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.0000 0.95160 0.000 1.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.4022 0.84577 0.920 0.080
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.0000 0.95160 0.000 1.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.9661 0.26177 0.392 0.608
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.1753 0.8731 0.000 0.952 0.048
#> 27496AAB-AC06-4100-BB41-0029F63CC678 3 0.5891 0.6103 0.052 0.168 0.780
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0237 0.8699 0.000 0.996 0.004
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.6295 0.4116 0.528 0.000 0.472
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0237 0.8699 0.000 0.996 0.004
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.5529 0.6782 0.000 0.704 0.296
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.4504 0.7929 0.000 0.804 0.196
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.9042 1.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.2625 0.8631 0.000 0.916 0.084
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.3619 0.8375 0.000 0.864 0.136
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.2711 0.8709 0.912 0.000 0.088
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0237 0.8699 0.000 0.996 0.004
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.5327 0.7018 0.000 0.728 0.272
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.0424 0.8712 0.000 0.992 0.008
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.5363 0.6933 0.724 0.000 0.276
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.5835 0.5970 0.000 0.660 0.340
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.0237 0.8699 0.000 0.996 0.004
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.2711 0.8599 0.000 0.912 0.088
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0424 0.8736 0.000 0.992 0.008
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.4654 0.7836 0.000 0.792 0.208
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0237 0.8699 0.000 0.996 0.004
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.6393 0.5936 0.088 0.148 0.764
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0237 0.8699 0.000 0.996 0.004
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.5363 0.2078 0.276 0.000 0.724
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0892 0.8992 0.980 0.000 0.020
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0000 0.8708 0.000 1.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.5431 0.6867 0.000 0.716 0.284
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.5058 0.7453 0.000 0.756 0.244
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0237 0.8723 0.000 0.996 0.004
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.5058 0.7472 0.000 0.756 0.244
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 3 0.6398 0.6131 0.060 0.192 0.748
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.0424 0.8712 0.000 0.992 0.008
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.2165 0.8694 0.000 0.936 0.064
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0424 0.8737 0.000 0.992 0.008
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.5363 0.6933 0.724 0.000 0.276
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0237 0.8699 0.000 0.996 0.004
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.3941 0.8183 0.000 0.844 0.156
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.0592 0.8725 0.000 0.988 0.012
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.1529 0.8740 0.000 0.960 0.040
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.4974 0.7515 0.000 0.764 0.236
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.2625 0.8626 0.000 0.916 0.084
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 3 0.5621 0.1555 0.308 0.000 0.692
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.1529 0.8738 0.000 0.960 0.040
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.0237 0.8699 0.000 0.996 0.004
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 3 0.2845 0.5040 0.068 0.012 0.920
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.3038 0.8597 0.896 0.000 0.104
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.2165 0.8690 0.000 0.936 0.064
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.4887 0.7656 0.000 0.772 0.228
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.0237 0.8699 0.000 0.996 0.004
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.0237 0.8699 0.000 0.996 0.004
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.0237 0.8699 0.000 0.996 0.004
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.6111 0.4767 0.000 0.604 0.396
#> FE2C169A-E41F-45EB-B61E-776493069D78 3 0.2663 0.5323 0.044 0.024 0.932
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.5254 0.7210 0.000 0.736 0.264
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.3816 0.8243 0.000 0.852 0.148
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0000 0.9042 1.000 0.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 3 0.5179 0.5535 0.088 0.080 0.832
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.0237 0.8699 0.000 0.996 0.004
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.0237 0.8699 0.000 0.996 0.004
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.2625 0.8730 0.916 0.000 0.084
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.6274 0.4288 0.544 0.000 0.456
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.0237 0.8699 0.000 0.996 0.004
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 3 0.6308 -0.3431 0.492 0.000 0.508
#> B40B9470-990D-4443-8484-17266E829557 2 0.1860 0.8719 0.000 0.948 0.052
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.0000 0.9042 1.000 0.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 3 0.2749 0.5062 0.064 0.012 0.924
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.0237 0.8699 0.000 0.996 0.004
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0237 0.8699 0.000 0.996 0.004
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.0237 0.8699 0.000 0.996 0.004
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0000 0.9042 1.000 0.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 3 0.3683 0.5447 0.060 0.044 0.896
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0237 0.8699 0.000 0.996 0.004
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.5497 0.6805 0.000 0.708 0.292
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.4291 0.8075 0.000 0.820 0.180
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#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0000 0.9042 1.000 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.0237 0.8721 0.000 0.996 0.004
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.3116 0.8517 0.000 0.892 0.108
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.4063 0.4809 0.112 0.020 0.868
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 2 0.6192 0.3988 0.000 0.580 0.420
#> E5D94733-7D43-4021-8F57-4426EF183682 2 0.5859 0.5819 0.000 0.656 0.344
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 3 0.5656 0.5942 0.008 0.264 0.728
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.5899 0.6186 0.020 0.244 0.736
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.3752 0.8321 0.000 0.856 0.144
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 3 0.6314 0.3176 0.004 0.392 0.604
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.5431 0.6894 0.716 0.000 0.284
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0424 0.8737 0.000 0.992 0.008
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.3941 0.8242 0.000 0.844 0.156
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0237 0.8699 0.000 0.996 0.004
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0000 0.8708 0.000 1.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.3192 0.8493 0.000 0.888 0.112
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0424 0.8713 0.000 0.992 0.008
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.0747 0.8747 0.000 0.984 0.016
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.5465 0.6865 0.000 0.712 0.288
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.5560 0.6705 0.000 0.700 0.300
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.0424 0.8712 0.000 0.992 0.008
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0237 0.8699 0.000 0.996 0.004
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0000 0.9042 1.000 0.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.3941 0.8246 0.000 0.844 0.156
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.4974 0.7515 0.000 0.764 0.236
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.1031 0.8750 0.000 0.976 0.024
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.5760 0.6183 0.000 0.672 0.328
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.2261 0.8674 0.000 0.932 0.068
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.1163 0.8755 0.000 0.972 0.028
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.5098 0.7365 0.000 0.752 0.248
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.5058 0.7456 0.000 0.756 0.244
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0237 0.8699 0.000 0.996 0.004
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.5216 0.7250 0.000 0.740 0.260
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.4235 0.8097 0.000 0.824 0.176
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.0592 0.8736 0.000 0.988 0.012
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.3941 0.8235 0.000 0.844 0.156
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.5497 0.6792 0.000 0.708 0.292
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.5859 0.5912 0.000 0.656 0.344
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.2625 0.8730 0.916 0.000 0.084
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.1163 0.8753 0.000 0.972 0.028
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0237 0.8699 0.000 0.996 0.004
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.6274 0.2909 0.000 0.544 0.456
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 3 0.4974 0.2887 0.236 0.000 0.764
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.1964 0.8716 0.000 0.944 0.056
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.5859 0.5904 0.000 0.656 0.344
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.0592 0.8736 0.000 0.988 0.012
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.6280 0.3894 0.540 0.000 0.460
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.1289 0.8740 0.000 0.968 0.032
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 3 0.6079 0.6177 0.036 0.216 0.748
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.4103 0.7100 0.000 0.744 0.256 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 4 0.4999 0.3950 0.000 0.000 0.492 0.508
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.1302 0.8390 0.000 0.956 0.044 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 4 0.4356 0.3862 0.292 0.000 0.000 0.708
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.1211 0.8376 0.000 0.960 0.040 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.4464 0.7061 0.000 0.208 0.768 0.024
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.4643 0.5384 0.000 0.344 0.656 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.9254 1.000 0.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.4804 0.4463 0.000 0.616 0.384 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.4977 0.1894 0.000 0.460 0.540 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.3266 0.8220 0.832 0.000 0.000 0.168
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0188 0.8182 0.000 0.996 0.004 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.5090 0.5883 0.000 0.324 0.660 0.016
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.2918 0.8216 0.000 0.876 0.116 0.008
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.5000 0.1957 0.504 0.000 0.000 0.496
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 3 0.3280 0.6926 0.000 0.124 0.860 0.016
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.1211 0.8376 0.000 0.960 0.040 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.4888 0.3579 0.000 0.588 0.412 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.1302 0.8394 0.000 0.956 0.044 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 3 0.4920 0.5089 0.000 0.368 0.628 0.004
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0188 0.8182 0.000 0.996 0.004 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 4 0.5138 0.5615 0.008 0.000 0.392 0.600
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0469 0.8232 0.000 0.988 0.012 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 4 0.2928 0.6875 0.052 0.000 0.052 0.896
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.1474 0.9054 0.948 0.000 0.000 0.052
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.1792 0.8417 0.000 0.932 0.068 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 3 0.4776 0.6609 0.000 0.272 0.712 0.016
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 3 0.4008 0.6712 0.000 0.244 0.756 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.1716 0.8418 0.000 0.936 0.064 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 3 0.4868 0.6202 0.000 0.304 0.684 0.012
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.5168 0.3680 0.000 0.004 0.496 0.500
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.2918 0.8216 0.000 0.876 0.116 0.008
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.4608 0.6190 0.000 0.692 0.304 0.004
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.2081 0.8416 0.000 0.916 0.084 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.4999 0.2063 0.508 0.000 0.000 0.492
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0921 0.8312 0.000 0.972 0.028 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.5353 0.3014 0.000 0.432 0.556 0.012
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.1557 0.8413 0.000 0.944 0.056 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.3444 0.7947 0.000 0.816 0.184 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.4718 0.6384 0.000 0.280 0.708 0.012
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.4843 0.4102 0.000 0.604 0.396 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 4 0.2385 0.6763 0.052 0.000 0.028 0.920
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.3219 0.8073 0.000 0.836 0.164 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.1474 0.8393 0.000 0.948 0.052 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 4 0.3975 0.7156 0.000 0.000 0.240 0.760
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.3610 0.7844 0.800 0.000 0.000 0.200
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.3801 0.7317 0.000 0.780 0.220 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 3 0.4509 0.6362 0.000 0.288 0.708 0.004
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.0188 0.8220 0.000 0.996 0.004 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.0469 0.8263 0.000 0.988 0.012 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.0188 0.8182 0.000 0.996 0.004 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.3732 0.6606 0.000 0.092 0.852 0.056
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.4356 0.6846 0.000 0.000 0.292 0.708
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.4567 0.6865 0.000 0.244 0.740 0.016
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.5378 0.2524 0.000 0.448 0.540 0.012
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0000 0.9254 1.000 0.000 0.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 4 0.4564 0.6549 0.000 0.000 0.328 0.672
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.0188 0.8182 0.000 0.996 0.004 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.0188 0.8182 0.000 0.996 0.004 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.3219 0.8260 0.836 0.000 0.000 0.164
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 4 0.4382 0.3658 0.296 0.000 0.000 0.704
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.0188 0.8182 0.000 0.996 0.004 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 4 0.4040 0.4590 0.248 0.000 0.000 0.752
#> B40B9470-990D-4443-8484-17266E829557 2 0.3444 0.7909 0.000 0.816 0.184 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.0000 0.9254 1.000 0.000 0.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 4 0.4103 0.7081 0.000 0.000 0.256 0.744
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.1211 0.8376 0.000 0.960 0.040 0.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0188 0.8182 0.000 0.996 0.004 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.0188 0.8182 0.000 0.996 0.004 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0000 0.9254 1.000 0.000 0.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 4 0.4431 0.6812 0.000 0.000 0.304 0.696
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.1302 0.8366 0.000 0.956 0.044 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 3 0.3893 0.7156 0.000 0.196 0.796 0.008
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 3 0.4877 0.3905 0.000 0.408 0.592 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.4406 0.7177 0.000 0.192 0.780 0.028
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 4 0.3836 0.5774 0.168 0.000 0.016 0.816
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.2589 0.8330 0.000 0.884 0.116 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 4 0.2385 0.6763 0.052 0.000 0.028 0.920
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.0000 0.9254 1.000 0.000 0.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.4008 0.7148 0.000 0.756 0.244 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.1118 0.8308 0.000 0.964 0.036 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.2589 0.8352 0.000 0.884 0.116 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 2 0.4836 0.5454 0.000 0.672 0.320 0.008
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 2 0.4500 0.4838 0.000 0.684 0.316 0.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 1 0.4643 0.5878 0.656 0.000 0.000 0.344
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.1474 0.8405 0.000 0.948 0.052 0.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 2 0.4103 0.6576 0.000 0.744 0.256 0.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0000 0.9254 1.000 0.000 0.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.0817 0.8268 0.000 0.976 0.024 0.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.0921 0.8295 0.000 0.972 0.028 0.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.0817 0.8268 0.000 0.976 0.024 0.000
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.0188 0.8182 0.000 0.996 0.004 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 2 0.5268 0.3623 0.000 0.592 0.396 0.012
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 2 0.5105 0.2518 0.000 0.564 0.432 0.004
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 4 0.4999 0.3950 0.000 0.000 0.492 0.508
#> 2C2589E0-2055-43AC-8001-1643839F80D4 3 0.4711 0.3620 0.000 0.024 0.740 0.236
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 2 0.1867 0.8425 0.000 0.928 0.072 0.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 3 0.5673 0.1084 0.000 0.032 0.596 0.372
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 3 0.4831 0.2686 0.000 0.016 0.704 0.280
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.3486 0.7902 0.000 0.812 0.188 0.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 4 0.5511 0.3879 0.000 0.016 0.484 0.500
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 3 0.4907 0.3455 0.000 0.420 0.580 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 4 0.2142 0.6700 0.056 0.000 0.016 0.928
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.1792 0.8410 0.000 0.932 0.068 0.000
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 1 0.1389 0.9074 0.952 0.000 0.000 0.048
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 3 0.4633 0.5120 0.000 0.048 0.780 0.172
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 2 0.3219 0.8033 0.000 0.836 0.164 0.000
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 3 0.5004 0.4431 0.000 0.392 0.604 0.004
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 4 0.3942 0.4766 0.236 0.000 0.000 0.764
#> A3AC663C-1578-4946-AED3-2FF9A739168E 2 0.2589 0.8348 0.000 0.884 0.116 0.000
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.0188 0.8182 0.000 0.996 0.004 0.000
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 2 0.2814 0.8254 0.000 0.868 0.132 0.000
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 4 0.2662 0.6409 0.084 0.000 0.016 0.900
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.6324 -0.0489 0.000 0.064 0.536 0.400
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#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.4248 0.7022 0.000 0.220 0.768 0.012
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 3 0.3768 0.7147 0.000 0.184 0.808 0.008
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.2918 0.8216 0.000 0.876 0.116 0.008
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0188 0.8182 0.000 0.996 0.004 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0000 0.9254 1.000 0.000 0.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 3 0.4948 0.2947 0.000 0.440 0.560 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.4718 0.6384 0.000 0.280 0.708 0.012
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.3123 0.8157 0.000 0.844 0.156 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 3 0.3577 0.7085 0.000 0.156 0.832 0.012
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.4770 0.6438 0.000 0.700 0.288 0.012
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.2814 0.8198 0.000 0.868 0.132 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 3 0.4621 0.6513 0.000 0.284 0.708 0.008
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.4164 0.6544 0.000 0.264 0.736 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.1389 0.8391 0.000 0.952 0.048 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 3 0.3801 0.6881 0.000 0.220 0.780 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.4817 0.4369 0.000 0.388 0.612 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.2345 0.8403 0.000 0.900 0.100 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.5016 0.4213 0.000 0.396 0.600 0.004
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 3 0.3768 0.7158 0.000 0.184 0.808 0.008
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.3335 0.6903 0.000 0.120 0.860 0.020
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.3219 0.8260 0.836 0.000 0.000 0.164
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.3123 0.8112 0.000 0.844 0.156 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.1302 0.8375 0.000 0.956 0.044 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.4100 0.6166 0.000 0.076 0.832 0.092
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 4 0.2329 0.7130 0.012 0.000 0.072 0.916
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.3486 0.7891 0.000 0.812 0.188 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 3 0.3479 0.7042 0.000 0.148 0.840 0.012
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.1940 0.8407 0.000 0.924 0.076 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 4 0.4584 0.3723 0.300 0.000 0.004 0.696
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.3636 0.7812 0.000 0.820 0.172 0.008
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 3 0.5132 -0.2488 0.000 0.004 0.548 0.448
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.4484 0.63912 0.000 0.668 0.308 0.024 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 4 0.6224 0.48096 0.000 0.000 0.152 0.496 0.352
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.1997 0.81433 0.000 0.924 0.040 0.036 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.3274 0.58565 0.220 0.000 0.000 0.000 0.780
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.1918 0.81011 0.000 0.928 0.036 0.036 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.4761 0.59910 0.000 0.076 0.752 0.156 0.016
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.4820 0.62822 0.000 0.236 0.696 0.068 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.92807 1.000 0.000 0.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.4829 0.20410 0.000 0.496 0.484 0.020 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.4731 0.41474 0.000 0.328 0.640 0.032 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.3143 0.78184 0.796 0.000 0.000 0.000 0.204
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0865 0.79391 0.000 0.972 0.004 0.024 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.5849 0.61528 0.000 0.220 0.620 0.156 0.004
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.4593 0.72298 0.000 0.748 0.128 0.124 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 5 0.4256 0.08246 0.436 0.000 0.000 0.000 0.564
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 3 0.3864 0.52105 0.000 0.020 0.784 0.188 0.008
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.1918 0.81011 0.000 0.928 0.036 0.036 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.5866 0.12569 0.000 0.488 0.424 0.084 0.004
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.1981 0.81576 0.000 0.920 0.064 0.016 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 3 0.5316 0.61694 0.000 0.256 0.656 0.084 0.004
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0865 0.79325 0.000 0.972 0.004 0.024 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 5 0.6175 -0.30166 0.004 0.000 0.116 0.424 0.456
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.1117 0.79848 0.000 0.964 0.016 0.020 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 5 0.3399 0.61172 0.020 0.000 0.000 0.168 0.812
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.1792 0.88896 0.916 0.000 0.000 0.000 0.084
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.2130 0.81679 0.000 0.908 0.080 0.012 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 3 0.5408 0.61186 0.000 0.180 0.664 0.156 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 3 0.3631 0.64217 0.000 0.104 0.824 0.072 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.2074 0.81451 0.000 0.896 0.104 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 3 0.5426 0.64713 0.000 0.192 0.672 0.132 0.004
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.6194 0.48912 0.000 0.000 0.148 0.500 0.352
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.4593 0.72298 0.000 0.748 0.128 0.124 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.5331 0.46330 0.000 0.568 0.372 0.060 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.2727 0.81821 0.000 0.868 0.116 0.016 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.4262 0.06862 0.440 0.000 0.000 0.000 0.560
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.1579 0.80615 0.000 0.944 0.032 0.024 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.6221 0.46484 0.000 0.300 0.528 0.172 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.2390 0.81545 0.000 0.896 0.084 0.020 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.3929 0.75820 0.000 0.764 0.208 0.028 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.4879 0.61144 0.000 0.124 0.720 0.156 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.4746 -0.16649 0.000 0.480 0.504 0.016 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.1809 0.65202 0.012 0.000 0.000 0.060 0.928
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.3455 0.76412 0.000 0.784 0.208 0.008 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.1792 0.81341 0.000 0.916 0.084 0.000 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 5 0.4644 0.09048 0.000 0.000 0.012 0.460 0.528
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.3424 0.73578 0.760 0.000 0.000 0.000 0.240
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.4249 0.64764 0.000 0.688 0.296 0.016 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 3 0.5080 0.65582 0.000 0.176 0.708 0.112 0.004
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.1357 0.79789 0.000 0.948 0.004 0.048 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.0566 0.80034 0.000 0.984 0.004 0.012 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.0865 0.79325 0.000 0.972 0.004 0.024 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.4540 0.38666 0.000 0.008 0.676 0.300 0.016
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.5048 0.08246 0.000 0.000 0.032 0.492 0.476
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.4790 0.64617 0.000 0.128 0.752 0.108 0.012
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.6217 0.43483 0.000 0.316 0.520 0.164 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0000 0.92807 1.000 0.000 0.000 0.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 4 0.5238 0.07894 0.000 0.000 0.044 0.480 0.476
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.0865 0.79325 0.000 0.972 0.004 0.024 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.1082 0.79596 0.000 0.964 0.008 0.028 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.3109 0.78634 0.800 0.000 0.000 0.000 0.200
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 5 0.3305 0.58253 0.224 0.000 0.000 0.000 0.776
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.0992 0.79513 0.000 0.968 0.008 0.024 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 5 0.2891 0.61113 0.176 0.000 0.000 0.000 0.824
#> B40B9470-990D-4443-8484-17266E829557 2 0.3612 0.74652 0.000 0.764 0.228 0.008 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.0000 0.92807 1.000 0.000 0.000 0.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 5 0.4826 0.00879 0.000 0.000 0.020 0.472 0.508
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.1918 0.81011 0.000 0.928 0.036 0.036 0.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0865 0.79391 0.000 0.972 0.004 0.024 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.0865 0.79391 0.000 0.972 0.004 0.024 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0000 0.92807 1.000 0.000 0.000 0.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 4 0.5405 0.12977 0.000 0.000 0.056 0.484 0.460
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.2325 0.81681 0.000 0.904 0.068 0.028 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 3 0.4496 0.61628 0.000 0.092 0.752 0.156 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 3 0.4907 0.56915 0.000 0.280 0.664 0.056 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.4652 0.60410 0.000 0.084 0.760 0.144 0.012
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 5 0.3543 0.63984 0.112 0.000 0.000 0.060 0.828
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.2953 0.79992 0.000 0.844 0.144 0.012 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 5 0.1809 0.65202 0.012 0.000 0.000 0.060 0.928
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.0000 0.92807 1.000 0.000 0.000 0.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.4885 0.63472 0.000 0.668 0.276 0.056 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.1893 0.80940 0.000 0.928 0.048 0.024 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.3283 0.80643 0.000 0.832 0.140 0.028 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 2 0.5952 0.34319 0.000 0.548 0.324 0.128 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 2 0.4886 0.34270 0.000 0.596 0.372 0.032 0.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 1 0.4201 0.42595 0.592 0.000 0.000 0.000 0.408
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.2654 0.81244 0.000 0.888 0.064 0.048 0.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 2 0.4525 0.49729 0.000 0.624 0.360 0.016 0.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0000 0.92807 1.000 0.000 0.000 0.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.2104 0.79335 0.000 0.916 0.024 0.060 0.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.1741 0.80646 0.000 0.936 0.040 0.024 0.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.2104 0.79335 0.000 0.916 0.024 0.060 0.000
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.1310 0.79965 0.000 0.956 0.020 0.024 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 2 0.6095 0.06024 0.000 0.460 0.416 0.124 0.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 2 0.5818 0.03435 0.000 0.460 0.448 0.092 0.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 4 0.6224 0.48096 0.000 0.000 0.152 0.496 0.352
#> 2C2589E0-2055-43AC-8001-1643839F80D4 4 0.5922 0.49721 0.000 0.000 0.368 0.520 0.112
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 2 0.2761 0.81656 0.000 0.872 0.104 0.024 0.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 4 0.6416 0.59704 0.000 0.000 0.292 0.500 0.208
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 4 0.5990 0.58917 0.000 0.000 0.296 0.560 0.144
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.3912 0.74747 0.000 0.752 0.228 0.020 0.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 4 0.6564 0.48556 0.000 0.000 0.212 0.444 0.344
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 3 0.5426 0.52904 0.000 0.308 0.608 0.084 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 5 0.2208 0.65304 0.020 0.000 0.000 0.072 0.908
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.2722 0.81791 0.000 0.872 0.108 0.020 0.000
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 1 0.1732 0.89144 0.920 0.000 0.000 0.000 0.080
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 3 0.5649 -0.27555 0.000 0.000 0.472 0.452 0.076
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 2 0.3988 0.76748 0.000 0.768 0.196 0.036 0.000
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 3 0.5096 0.57439 0.000 0.272 0.656 0.072 0.000
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 5 0.2970 0.61597 0.168 0.000 0.000 0.004 0.828
#> A3AC663C-1578-4946-AED3-2FF9A739168E 2 0.3413 0.80797 0.000 0.832 0.124 0.044 0.000
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.1282 0.79485 0.000 0.952 0.004 0.044 0.000
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 2 0.3911 0.78333 0.000 0.796 0.144 0.060 0.000
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 5 0.3012 0.63481 0.036 0.000 0.000 0.104 0.860
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 4 0.6378 0.54527 0.000 0.004 0.252 0.540 0.204
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 2 0.2450 0.81663 0.000 0.896 0.076 0.028 0.000
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 2 0.1282 0.79409 0.000 0.952 0.004 0.044 0.000
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 2 0.2130 0.81637 0.000 0.908 0.080 0.012 0.000
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 2 0.1205 0.79439 0.000 0.956 0.004 0.040 0.000
#> 5813BD59-3E38-4630-8735-F9F743F28160 4 0.5872 0.32526 0.000 0.000 0.100 0.492 0.408
#> 4ED692EB-E194-49D7-9222-6232051426E5 2 0.3236 0.79873 0.000 0.828 0.152 0.020 0.000
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 4 0.6036 0.60719 0.000 0.000 0.276 0.564 0.160
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#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 4 0.6351 0.58510 0.000 0.000 0.280 0.516 0.204
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 4 0.6166 0.60085 0.000 0.000 0.200 0.556 0.244
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.5092 0.21358 0.000 0.524 0.440 0.036 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 3 0.6338 -0.39015 0.000 0.000 0.448 0.392 0.160
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.4304 0.16451 0.516 0.000 0.000 0.000 0.484
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.3278 0.80198 0.000 0.824 0.156 0.020 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 3 0.5202 0.41298 0.000 0.340 0.608 0.048 0.004
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0865 0.79391 0.000 0.972 0.004 0.024 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.1670 0.81361 0.000 0.936 0.052 0.012 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 3 0.4702 0.12153 0.000 0.432 0.552 0.016 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.2769 0.81602 0.000 0.876 0.092 0.032 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.3278 0.79780 0.000 0.824 0.156 0.020 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.4835 0.62616 0.000 0.120 0.724 0.156 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 3 0.4583 0.57101 0.000 0.064 0.740 0.192 0.004
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.4593 0.72298 0.000 0.748 0.128 0.124 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0865 0.79391 0.000 0.972 0.004 0.024 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0000 0.92807 1.000 0.000 0.000 0.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 3 0.4697 0.49239 0.000 0.304 0.660 0.036 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.4879 0.61144 0.000 0.124 0.720 0.156 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.3527 0.78086 0.000 0.792 0.192 0.016 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 3 0.5352 0.55046 0.000 0.076 0.680 0.228 0.016
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.5559 0.47152 0.000 0.572 0.344 0.084 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.3663 0.75749 0.000 0.776 0.208 0.016 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 3 0.5027 0.63418 0.000 0.188 0.700 0.112 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.3814 0.64849 0.000 0.124 0.808 0.068 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.1800 0.81314 0.000 0.932 0.048 0.020 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 3 0.2782 0.62711 0.000 0.072 0.880 0.048 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.4325 0.58716 0.000 0.240 0.724 0.036 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.2824 0.81355 0.000 0.864 0.116 0.020 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.5040 0.60843 0.000 0.236 0.680 0.084 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 3 0.3932 0.59882 0.000 0.064 0.796 0.140 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.3612 0.48961 0.000 0.008 0.764 0.228 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.3109 0.78634 0.800 0.000 0.000 0.000 0.200
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.3266 0.77214 0.000 0.796 0.200 0.004 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.1549 0.81092 0.000 0.944 0.040 0.016 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.5671 0.19064 0.000 0.032 0.560 0.376 0.032
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 5 0.2929 0.59727 0.000 0.000 0.000 0.180 0.820
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.4054 0.75091 0.000 0.748 0.224 0.028 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 3 0.4861 0.53522 0.000 0.060 0.712 0.220 0.008
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.2351 0.81369 0.000 0.896 0.088 0.016 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 5 0.4602 0.55712 0.240 0.000 0.000 0.052 0.708
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.4971 0.67919 0.000 0.708 0.176 0.116 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 4 0.6313 0.55737 0.000 0.000 0.188 0.516 0.296
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.4973 0.524512 0.584 0.024 0.356 0.036 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 4 0.6833 0.183785 0.000 0.168 0.072 0.388 0.000 0.372
#> 3BBC7540-136B-47C8-9C09-CD423685B742 1 0.2883 0.788639 0.864 0.008 0.060 0.068 0.000 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.5515 0.627956 0.000 0.596 0.000 0.008 0.204 0.192
#> 82DA87CF-C067-44B3-A372-ECB056337B08 1 0.2709 0.777705 0.884 0.032 0.040 0.044 0.000 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.5524 0.407726 0.044 0.020 0.660 0.216 0.000 0.060
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.5802 0.535460 0.184 0.008 0.600 0.192 0.000 0.016
#> C590B811-A42F-4ED2-896A-513EFD42D62D 5 0.0000 0.920803 0.000 0.000 0.000 0.000 1.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 3 0.5017 0.081824 0.388 0.016 0.552 0.044 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.5106 0.517518 0.236 0.024 0.656 0.084 0.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.3455 0.754552 0.000 0.180 0.000 0.000 0.784 0.036
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 1 0.1970 0.755693 0.912 0.028 0.000 0.060 0.000 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.6389 0.484690 0.180 0.016 0.520 0.264 0.000 0.020
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 1 0.6018 0.613359 0.620 0.104 0.140 0.136 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 2 0.4905 0.229388 0.000 0.524 0.000 0.004 0.420 0.052
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 3 0.5129 0.276123 0.012 0.012 0.664 0.232 0.000 0.080
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 1 0.2843 0.777004 0.876 0.032 0.044 0.048 0.000 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 1 0.6181 -0.041017 0.424 0.024 0.416 0.132 0.000 0.004
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 1 0.2575 0.786414 0.884 0.020 0.076 0.020 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 3 0.5603 0.564629 0.188 0.020 0.652 0.120 0.000 0.020
#> E8385A24-9459-4D47-9147-3A628D1A213D 1 0.1984 0.754499 0.912 0.032 0.000 0.056 0.000 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 6 0.6774 0.040869 0.000 0.216 0.052 0.316 0.000 0.416
#> C42C8456-82F9-433C-82BA-F1284CDC425C 1 0.1924 0.763399 0.920 0.028 0.004 0.048 0.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 6 0.4541 -0.376822 0.000 0.428 0.000 0.016 0.012 0.544
#> 032E0758-7A5B-405B-88D3-74C527605780 5 0.1663 0.875598 0.000 0.088 0.000 0.000 0.912 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 1 0.2829 0.787464 0.864 0.016 0.096 0.024 0.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 3 0.6770 0.462999 0.136 0.040 0.576 0.176 0.000 0.072
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 3 0.4029 0.490469 0.044 0.016 0.772 0.164 0.000 0.004
#> E4E13C28-C852-4783-87C8-A77C0436354E 1 0.3714 0.770155 0.804 0.044 0.128 0.024 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 3 0.5951 0.517950 0.120 0.052 0.644 0.164 0.000 0.020
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.6813 0.181177 0.000 0.156 0.076 0.384 0.000 0.384
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 1 0.6018 0.613359 0.620 0.104 0.140 0.136 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 1 0.5620 0.310876 0.496 0.032 0.404 0.068 0.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.4195 0.778430 0.768 0.040 0.148 0.044 0.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 2 0.4857 0.216538 0.000 0.524 0.000 0.004 0.424 0.048
#> 2913A3F4-469F-4817-A608-3A0F38383197 1 0.1857 0.772137 0.928 0.028 0.012 0.032 0.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.7368 0.455223 0.228 0.068 0.464 0.204 0.000 0.036
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 1 0.3814 0.775993 0.808 0.064 0.096 0.032 0.000 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 1 0.4669 0.695020 0.688 0.016 0.248 0.040 0.000 0.008
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.6065 0.455822 0.076 0.056 0.644 0.180 0.000 0.044
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.5334 0.152660 0.368 0.024 0.548 0.060 0.000 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 2 0.4579 0.665359 0.000 0.660 0.000 0.060 0.004 0.276
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.4334 0.702325 0.708 0.028 0.240 0.024 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.2839 0.777947 0.860 0.032 0.100 0.008 0.000 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 6 0.2070 0.484644 0.000 0.092 0.000 0.012 0.000 0.896
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.3755 0.695940 0.000 0.220 0.000 0.000 0.744 0.036
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 1 0.5234 0.495919 0.572 0.056 0.348 0.024 0.000 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 3 0.5779 0.535615 0.124 0.028 0.648 0.176 0.000 0.024
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 1 0.2797 0.762974 0.872 0.036 0.016 0.076 0.000 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.2007 0.773079 0.920 0.032 0.012 0.036 0.000 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 1 0.2179 0.756709 0.900 0.036 0.000 0.064 0.000 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.5910 0.118826 0.004 0.020 0.576 0.224 0.000 0.176
#> FE2C169A-E41F-45EB-B61E-776493069D78 6 0.1409 0.567556 0.000 0.032 0.008 0.012 0.000 0.948
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.5531 0.476133 0.092 0.004 0.640 0.224 0.000 0.040
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.7345 0.452747 0.236 0.072 0.464 0.196 0.000 0.032
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.0000 0.920803 0.000 0.000 0.000 0.000 1.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 6 0.6166 0.291679 0.000 0.208 0.024 0.252 0.000 0.516
#> D58CE99E-A954-4555-AA01-6582C049B7ED 1 0.1984 0.754499 0.912 0.032 0.000 0.056 0.000 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 1 0.1867 0.768053 0.924 0.036 0.004 0.036 0.000 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 5 0.3422 0.759779 0.000 0.176 0.000 0.000 0.788 0.036
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 2 0.5085 0.628041 0.000 0.644 0.000 0.004 0.208 0.144
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 1 0.2066 0.757589 0.908 0.040 0.000 0.052 0.000 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 2 0.5241 0.650557 0.000 0.636 0.000 0.008 0.160 0.196
#> B40B9470-990D-4443-8484-17266E829557 1 0.4478 0.682193 0.692 0.028 0.252 0.028 0.000 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 5 0.0000 0.920803 0.000 0.000 0.000 0.000 1.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 6 0.1757 0.533318 0.000 0.052 0.008 0.012 0.000 0.928
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 1 0.2709 0.777705 0.884 0.032 0.040 0.044 0.000 0.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 1 0.1970 0.755693 0.912 0.028 0.000 0.060 0.000 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 1 0.1970 0.755693 0.912 0.028 0.000 0.060 0.000 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 5 0.0000 0.920803 0.000 0.000 0.000 0.000 1.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 6 0.2699 0.572633 0.000 0.068 0.032 0.020 0.000 0.880
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 1 0.2878 0.788361 0.872 0.032 0.064 0.032 0.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 3 0.5717 0.409670 0.076 0.016 0.612 0.264 0.000 0.032
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 3 0.5784 0.561709 0.216 0.020 0.596 0.164 0.000 0.004
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.5695 0.422379 0.060 0.016 0.656 0.196 0.000 0.072
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 2 0.5484 0.669737 0.000 0.632 0.000 0.040 0.096 0.232
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 1 0.4087 0.756374 0.764 0.044 0.168 0.024 0.000 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 2 0.4579 0.665359 0.000 0.660 0.000 0.060 0.004 0.276
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 5 0.0000 0.920803 0.000 0.000 0.000 0.000 1.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 1 0.5609 0.532255 0.584 0.064 0.300 0.052 0.000 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 1 0.3118 0.774237 0.860 0.048 0.048 0.044 0.000 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 1 0.3943 0.765305 0.772 0.020 0.168 0.040 0.000 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 1 0.7212 0.146440 0.440 0.088 0.300 0.156 0.000 0.016
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 1 0.5923 0.232210 0.528 0.028 0.336 0.104 0.000 0.004
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 5 0.4616 0.339386 0.000 0.384 0.000 0.004 0.576 0.036
#> EB5CF362-6974-4137-AC92-2051B1594E13 1 0.3759 0.774504 0.816 0.040 0.072 0.072 0.000 0.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 1 0.5592 0.248126 0.496 0.060 0.408 0.036 0.000 0.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 5 0.0000 0.920803 0.000 0.000 0.000 0.000 1.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 1 0.3451 0.747969 0.832 0.048 0.028 0.092 0.000 0.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 1 0.3008 0.770321 0.864 0.032 0.036 0.068 0.000 0.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 1 0.3451 0.747969 0.832 0.048 0.028 0.092 0.000 0.000
#> 77744579-17ED-499B-92FD-089789C44F8A 1 0.2245 0.766756 0.908 0.036 0.016 0.040 0.000 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.7197 0.207160 0.356 0.064 0.400 0.156 0.000 0.024
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.5885 0.139689 0.392 0.032 0.480 0.096 0.000 0.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 4 0.6833 0.183785 0.000 0.168 0.072 0.388 0.000 0.372
#> 2C2589E0-2055-43AC-8001-1643839F80D4 4 0.6123 0.603675 0.000 0.028 0.200 0.536 0.000 0.236
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 1 0.3864 0.786230 0.796 0.032 0.128 0.044 0.000 0.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 4 0.7257 0.386731 0.000 0.108 0.208 0.356 0.000 0.328
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 4 0.6188 0.563888 0.000 0.040 0.152 0.528 0.000 0.280
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 1 0.4439 0.679019 0.680 0.024 0.272 0.024 0.000 0.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 6 0.4301 0.448000 0.000 0.004 0.136 0.120 0.000 0.740
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#> DD8F70E2-3827-4603-8971-E420450D919C 1 0.4648 0.745251 0.728 0.056 0.172 0.044 0.000 0.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 1 0.6029 0.123139 0.460 0.044 0.404 0.092 0.000 0.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 5 0.0000 0.920803 0.000 0.000 0.000 0.000 1.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 1 0.3097 0.790623 0.856 0.028 0.080 0.036 0.000 0.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 1 0.3749 0.786258 0.804 0.028 0.124 0.044 0.000 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 5 0.0000 0.920803 0.000 0.000 0.000 0.000 1.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.6030 0.363077 0.000 0.424 0.004 0.208 0.000 0.364
#> E336F811-7C92-438D-9929-EA40AA2932CB 3 0.3523 0.462184 0.028 0.012 0.796 0.164 0.000 0.000
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 3 0.4329 0.509271 0.064 0.008 0.760 0.152 0.000 0.016
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.5098 0.554334 0.596 0.032 0.332 0.040 0.000 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 1 0.5812 0.638084 0.616 0.060 0.212 0.112 0.000 0.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.6972 0.466567 0.276 0.040 0.480 0.172 0.000 0.032
#> 8291A898-F097-4009-B0DB-ACB61493263B 1 0.4502 0.704381 0.696 0.016 0.240 0.048 0.000 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 6 0.4198 0.483567 0.000 0.020 0.084 0.128 0.000 0.768
#> 62315297-B01F-4A7F-9C15-5B602099257F 1 0.5067 0.724035 0.692 0.048 0.184 0.076 0.000 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 3 0.3699 0.481033 0.040 0.012 0.788 0.160 0.000 0.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 6 0.4305 0.459043 0.000 0.016 0.084 0.148 0.000 0.752
#> D7791F51-5151-4E21-802F-F61EE07D626F 3 0.5612 0.000728 0.420 0.060 0.488 0.028 0.000 0.004
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 1 0.3922 0.762553 0.772 0.028 0.172 0.028 0.000 0.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.5189 0.342495 0.024 0.016 0.636 0.284 0.000 0.040
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.6117 -0.356885 0.000 0.012 0.424 0.380 0.000 0.184
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.4792 0.651818 0.000 0.644 0.000 0.096 0.000 0.260
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 6 0.3093 0.562569 0.000 0.076 0.012 0.060 0.000 0.852
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.7345 0.452747 0.236 0.072 0.464 0.196 0.000 0.032
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 1 0.2964 0.785801 0.868 0.036 0.060 0.036 0.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.4420 0.741362 0.728 0.032 0.200 0.040 0.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 5 0.0000 0.920803 0.000 0.000 0.000 0.000 1.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 1 0.5626 0.660681 0.660 0.084 0.136 0.120 0.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 3 0.3699 0.481033 0.040 0.012 0.788 0.160 0.000 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 3 0.5027 0.555041 0.220 0.012 0.660 0.108 0.000 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.5400 0.504825 0.096 0.020 0.692 0.156 0.000 0.036
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 1 0.4597 0.754502 0.740 0.048 0.152 0.060 0.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 6 0.1970 0.587196 0.000 0.008 0.028 0.044 0.000 0.920
#> E36F2243-58F5-41A0-A673-DEAFE0267426 1 0.6304 0.561892 0.596 0.088 0.188 0.120 0.000 0.008
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 5 0.0000 0.920803 0.000 0.000 0.000 0.000 1.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.4259 0.752141 0.744 0.040 0.188 0.028 0.000 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 3 0.6127 0.243045 0.356 0.048 0.492 0.104 0.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 6 0.3646 0.458439 0.000 0.136 0.008 0.048 0.004 0.804
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.6009 -0.161816 0.004 0.016 0.476 0.372 0.000 0.132
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.6583 0.101944 0.008 0.056 0.528 0.240 0.000 0.168
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 6 0.5397 0.238790 0.000 0.012 0.192 0.172 0.000 0.624
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 6 0.6261 -0.104540 0.000 0.056 0.116 0.324 0.000 0.504
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.5564 0.034061 0.468 0.024 0.448 0.052 0.000 0.008
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 6 0.6143 -0.248209 0.000 0.004 0.304 0.268 0.000 0.424
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 5 0.5544 0.035207 0.000 0.356 0.000 0.000 0.500 0.144
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 1 0.4297 0.757825 0.752 0.032 0.168 0.048 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 3 0.5633 0.514105 0.248 0.040 0.628 0.072 0.000 0.012
#> 85C38170-F2A0-4491-BFDB-38489204C015 1 0.1970 0.755693 0.912 0.028 0.000 0.060 0.000 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 1 0.2375 0.784781 0.896 0.020 0.068 0.016 0.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 3 0.5536 0.283662 0.356 0.024 0.540 0.080 0.000 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.3415 0.784103 0.824 0.020 0.120 0.036 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 1 0.4685 0.728045 0.716 0.064 0.188 0.032 0.000 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.5736 0.438335 0.068 0.056 0.664 0.184 0.000 0.028
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 3 0.5805 0.290876 0.056 0.044 0.564 0.324 0.000 0.012
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 1 0.6018 0.613359 0.620 0.104 0.140 0.136 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.1970 0.755693 0.912 0.028 0.000 0.060 0.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 5 0.0000 0.920803 0.000 0.000 0.000 0.000 1.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 3 0.5121 0.549253 0.236 0.012 0.644 0.108 0.000 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.6065 0.455822 0.076 0.056 0.644 0.180 0.000 0.044
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 1 0.4305 0.725640 0.720 0.024 0.224 0.032 0.000 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 3 0.5871 0.148003 0.056 0.036 0.476 0.420 0.000 0.012
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 1 0.6057 0.307990 0.492 0.056 0.384 0.060 0.000 0.008
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 1 0.5178 0.657298 0.644 0.064 0.256 0.036 0.000 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 3 0.6198 0.489840 0.136 0.036 0.624 0.164 0.000 0.040
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.4849 0.513510 0.084 0.008 0.708 0.184 0.000 0.016
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.2380 0.785102 0.900 0.016 0.048 0.036 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 3 0.3602 0.460290 0.032 0.008 0.784 0.176 0.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.4676 0.563276 0.156 0.024 0.732 0.084 0.000 0.004
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 1 0.3813 0.780019 0.800 0.028 0.124 0.048 0.000 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.4880 0.552141 0.140 0.028 0.720 0.108 0.000 0.004
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 3 0.5155 0.396256 0.044 0.008 0.692 0.192 0.000 0.064
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.5299 0.253304 0.004 0.020 0.644 0.236 0.000 0.096
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 5 0.3422 0.759779 0.000 0.176 0.000 0.000 0.788 0.036
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.4559 0.709409 0.708 0.036 0.220 0.036 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.1851 0.782083 0.928 0.036 0.024 0.012 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.6844 -0.173825 0.016 0.028 0.440 0.248 0.000 0.268
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.5336 0.584518 0.000 0.544 0.000 0.124 0.000 0.332
#> 13138496-2362-49FA-9CBF-35EBB0843924 1 0.4533 0.694330 0.684 0.016 0.256 0.044 0.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 3 0.5548 0.189323 0.036 0.008 0.564 0.344 0.000 0.048
#> 44A16F74-F823-4B27-AC3B-52526426199B 1 0.3029 0.777926 0.840 0.004 0.120 0.036 0.000 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.5956 0.565687 0.000 0.540 0.000 0.016 0.224 0.220
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 1 0.6278 0.566076 0.600 0.088 0.184 0.120 0.000 0.008
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 4 0.6706 0.315838 0.000 0.128 0.084 0.432 0.000 0.356
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 17395 rows and 473 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'kmeans' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.972 0.988 0.3506 0.649 0.649
#> 3 3 1.000 0.965 0.987 0.5363 0.753 0.637
#> 4 4 0.683 0.782 0.892 0.3159 0.738 0.485
#> 5 5 0.664 0.559 0.766 0.0870 0.857 0.566
#> 6 6 0.643 0.519 0.694 0.0538 0.843 0.445
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2
There is also optional best \(k\) = 2 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.992 0.000 1.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.4298 0.899 0.912 0.088
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0000 0.992 0.000 1.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.972 1.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0000 0.992 0.000 1.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.0000 0.992 0.000 1.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.0000 0.992 0.000 1.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.972 1.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.0000 0.992 0.000 1.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.0000 0.992 0.000 1.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.972 1.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0000 0.992 0.000 1.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.0000 0.992 0.000 1.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.0000 0.992 0.000 1.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0000 0.972 1.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.0000 0.992 0.000 1.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.0000 0.992 0.000 1.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.0000 0.992 0.000 1.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0000 0.992 0.000 1.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0000 0.992 0.000 1.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0000 0.992 0.000 1.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.9710 0.312 0.400 0.600
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0000 0.992 0.000 1.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 1 0.0000 0.972 1.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0000 0.972 1.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0000 0.992 0.000 1.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0000 0.992 0.000 1.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.0000 0.992 0.000 1.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0000 0.992 0.000 1.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.0000 0.992 0.000 1.000
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#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.0000 0.992 0.000 1.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.0000 0.992 0.000 1.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 1 0.7299 0.755 0.796 0.204
#> E36F2243-58F5-41A0-A673-DEAFE0267426 2 0.0000 0.992 0.000 1.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0000 0.972 1.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.0000 0.992 0.000 1.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0000 0.992 0.000 1.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.0000 0.972 1.000 0.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 2 0.0000 0.992 0.000 1.000
#> E5D94733-7D43-4021-8F57-4426EF183682 2 0.0000 0.992 0.000 1.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.0000 0.992 0.000 1.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.7528 0.717 0.216 0.784
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.0000 0.992 0.000 1.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.0000 0.992 0.000 1.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0000 0.972 1.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0000 0.992 0.000 1.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0000 0.992 0.000 1.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0000 0.992 0.000 1.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0000 0.992 0.000 1.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.0000 0.992 0.000 1.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.992 0.000 1.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.0000 0.992 0.000 1.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.0000 0.992 0.000 1.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.992 0.000 1.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.0000 0.992 0.000 1.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0000 0.992 0.000 1.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0000 0.972 1.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.0000 0.992 0.000 1.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.0000 0.992 0.000 1.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.0000 0.992 0.000 1.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0000 0.992 0.000 1.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.0000 0.992 0.000 1.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.0000 0.992 0.000 1.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.0000 0.992 0.000 1.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.0000 0.992 0.000 1.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.992 0.000 1.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.0000 0.992 0.000 1.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.0000 0.992 0.000 1.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.0000 0.992 0.000 1.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.0000 0.992 0.000 1.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.0000 0.992 0.000 1.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.0000 0.992 0.000 1.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.0000 0.972 1.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.0000 0.992 0.000 1.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0000 0.992 0.000 1.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.0000 0.992 0.000 1.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0000 0.972 1.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.0000 0.992 0.000 1.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.0000 0.992 0.000 1.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.0000 0.992 0.000 1.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0000 0.972 1.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.0000 0.992 0.000 1.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.9580 0.369 0.380 0.620
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.985 0.000 1.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 3 0.0000 0.977 0.000 0.000 1.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0000 0.985 0.000 1.000 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.997 1.000 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0000 0.985 0.000 1.000 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.5650 0.491 0.000 0.312 0.688
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.0000 0.985 0.000 1.000 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.997 1.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.0000 0.985 0.000 1.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.0000 0.985 0.000 1.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.997 1.000 0.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0000 0.985 0.000 1.000 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.1529 0.945 0.000 0.960 0.040
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.0000 0.985 0.000 1.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0000 0.997 1.000 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 3 0.1031 0.944 0.000 0.024 0.976
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.0000 0.985 0.000 1.000 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.0000 0.985 0.000 1.000 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0000 0.985 0.000 1.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0000 0.985 0.000 1.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0000 0.985 0.000 1.000 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.0000 0.977 0.000 0.000 1.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0000 0.985 0.000 1.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.977 0.000 0.000 1.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0000 0.997 1.000 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0000 0.985 0.000 1.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 3 0.0000 0.977 0.000 0.000 1.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.6079 0.372 0.000 0.612 0.388
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0000 0.985 0.000 1.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.0000 0.985 0.000 1.000 0.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 3 0.0000 0.977 0.000 0.000 1.000
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.0000 0.985 0.000 1.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.0000 0.985 0.000 1.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0000 0.985 0.000 1.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0000 0.997 1.000 0.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0000 0.985 0.000 1.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.2625 0.896 0.000 0.916 0.084
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.0000 0.985 0.000 1.000 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.0000 0.985 0.000 1.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.0000 0.985 0.000 1.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.0000 0.985 0.000 1.000 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 3 0.4555 0.750 0.200 0.000 0.800
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.0000 0.985 0.000 1.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.0000 0.985 0.000 1.000 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 3 0.0000 0.977 0.000 0.000 1.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.0000 0.997 1.000 0.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.0000 0.985 0.000 1.000 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0000 0.985 0.000 1.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.0000 0.985 0.000 1.000 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.0000 0.985 0.000 1.000 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.0000 0.985 0.000 1.000 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.0000 0.977 0.000 0.000 1.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 3 0.0000 0.977 0.000 0.000 1.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.0000 0.985 0.000 1.000 0.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.3267 0.859 0.000 0.884 0.116
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0000 0.997 1.000 0.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 3 0.0000 0.977 0.000 0.000 1.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.0000 0.985 0.000 1.000 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.0000 0.985 0.000 1.000 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.0000 0.997 1.000 0.000 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.1031 0.976 0.976 0.000 0.024
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.0000 0.985 0.000 1.000 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.1031 0.976 0.976 0.000 0.024
#> B40B9470-990D-4443-8484-17266E829557 2 0.0000 0.985 0.000 1.000 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.0000 0.997 1.000 0.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 3 0.0000 0.977 0.000 0.000 1.000
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.0000 0.985 0.000 1.000 0.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0000 0.985 0.000 1.000 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.0000 0.985 0.000 1.000 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0000 0.997 1.000 0.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 3 0.0000 0.977 0.000 0.000 1.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0000 0.985 0.000 1.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.0000 0.985 0.000 1.000 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.0000 0.985 0.000 1.000 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 2 0.0000 0.985 0.000 1.000 0.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 3 0.0000 0.977 0.000 0.000 1.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.0000 0.985 0.000 1.000 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.0000 0.977 0.000 0.000 1.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.0000 0.997 1.000 0.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.0000 0.985 0.000 1.000 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.0000 0.985 0.000 1.000 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.0000 0.985 0.000 1.000 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 2 0.0000 0.985 0.000 1.000 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 2 0.0000 0.985 0.000 1.000 0.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 1 0.0000 0.997 1.000 0.000 0.000
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.0000 0.985 0.000 1.000 0.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 2 0.0000 0.985 0.000 1.000 0.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0000 0.997 1.000 0.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.0000 0.985 0.000 1.000 0.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.0000 0.985 0.000 1.000 0.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.0000 0.985 0.000 1.000 0.000
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.0000 0.985 0.000 1.000 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 2 0.0000 0.985 0.000 1.000 0.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 2 0.0000 0.985 0.000 1.000 0.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 3 0.0000 0.977 0.000 0.000 1.000
#> 2C2589E0-2055-43AC-8001-1643839F80D4 3 0.0000 0.977 0.000 0.000 1.000
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 2 0.0000 0.985 0.000 1.000 0.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 3 0.0000 0.977 0.000 0.000 1.000
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 3 0.0000 0.977 0.000 0.000 1.000
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.0000 0.985 0.000 1.000 0.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 3 0.0000 0.977 0.000 0.000 1.000
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.0000 0.985 0.000 1.000 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 3 0.1031 0.955 0.024 0.000 0.976
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.0000 0.985 0.000 1.000 0.000
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 1 0.0000 0.997 1.000 0.000 0.000
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 3 0.0000 0.977 0.000 0.000 1.000
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 2 0.0000 0.985 0.000 1.000 0.000
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 2 0.0000 0.985 0.000 1.000 0.000
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 1 0.1031 0.976 0.976 0.000 0.024
#> A3AC663C-1578-4946-AED3-2FF9A739168E 2 0.0000 0.985 0.000 1.000 0.000
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.0000 0.985 0.000 1.000 0.000
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 2 0.0000 0.985 0.000 1.000 0.000
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.0000 0.977 0.000 0.000 1.000
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.0000 0.977 0.000 0.000 1.000
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 2 0.0000 0.985 0.000 1.000 0.000
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 2 0.0000 0.985 0.000 1.000 0.000
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 2 0.0000 0.985 0.000 1.000 0.000
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 2 0.0000 0.985 0.000 1.000 0.000
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.0000 0.977 0.000 0.000 1.000
#> 4ED692EB-E194-49D7-9222-6232051426E5 2 0.0000 0.985 0.000 1.000 0.000
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 3 0.0000 0.977 0.000 0.000 1.000
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.0000 0.977 0.000 0.000 1.000
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 3 0.0000 0.977 0.000 0.000 1.000
#> 64B33223-EB30-49ED-A3D8-5AC598845465 2 0.0000 0.985 0.000 1.000 0.000
#> 21599029-B6C9-4385-B87C-FDB99F956118 3 0.0000 0.977 0.000 0.000 1.000
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 2 0.0000 0.985 0.000 1.000 0.000
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 2 0.0000 0.985 0.000 1.000 0.000
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#> BB938CB4-65C7-484A-B3A9-D345289DFA68 3 0.0000 0.977 0.000 0.000 1.000
#> 68A4643D-0822-4088-901A-6EE88E3C39E7 2 0.0000 0.985 0.000 1.000 0.000
#> 5FC3D2CA-E325-48FA-9171-DC8054CCCD26 1 0.0000 0.997 1.000 0.000 0.000
#> 92ABF549-0786-47D2-8355-5C16C090304A 3 0.0000 0.977 0.000 0.000 1.000
#> 709EEE82-EC92-4FD6-81DE-8AAB11EDFC7C 2 0.0000 0.985 0.000 1.000 0.000
#> E9BAF502-4144-4D13-8ED9-81F808A6B966 2 0.0000 0.985 0.000 1.000 0.000
#> B19F8551-14F9-42F3-A2FD-BF748F222393 2 0.0000 0.985 0.000 1.000 0.000
#> 1BCAB024-A978-4CC8-A411-FAC284F2018E 2 0.0000 0.985 0.000 1.000 0.000
#> 75D212E1-0BF3-4282-826D-32EF7B2AC070 2 0.0000 0.985 0.000 1.000 0.000
#> E7F262C2-69DE-4555-86B9-2151C7CF8A17 2 0.0000 0.985 0.000 1.000 0.000
#> 10EC58F7-A6DC-4427-8FDE-D0AF12800DD6 3 0.0000 0.977 0.000 0.000 1.000
#> 46D4C579-DE69-44A5-92B4-13329069FF45 2 0.0000 0.985 0.000 1.000 0.000
#> 5FF6911C-D63C-4A6E-8E51-B116870FBE8C 1 0.0000 0.997 1.000 0.000 0.000
#> 3BED1BB9-EC6D-4B6B-9B4B-268067DA1C21 2 0.0000 0.985 0.000 1.000 0.000
#> C405814A-66E1-45E3-957D-0F32CFE30BFA 3 0.0000 0.977 0.000 0.000 1.000
#> 799673ED-C935-4CE9-B8F3-14EE41C25BA1 1 0.0000 0.997 1.000 0.000 0.000
#> 2A37A64F-C93B-42B6-95D5-744EEFD07FD1 1 0.0000 0.997 1.000 0.000 0.000
#> FA84E86B-3DB8-4A3F-817A-140DE7568611 2 0.0000 0.985 0.000 1.000 0.000
#> D22F5C7C-3BAF-496A-8D3A-FB4D5F853E90 2 0.0000 0.985 0.000 1.000 0.000
#> 3F76F946-07A9-4C0B-BA36-9524068D785B 2 0.0000 0.985 0.000 1.000 0.000
#> 3977EBDA-AD30-4AA0-AC75-E33086DC533D 2 0.0000 0.985 0.000 1.000 0.000
#> 8D361255-E352-4248-9FDF-0A6602CB419D 2 0.0000 0.985 0.000 1.000 0.000
#> 18AE7FAE-0B1E-4F52-BEC6-6158E61EB679 2 0.0000 0.985 0.000 1.000 0.000
#> 5F005483-D289-4A3E-BD1E-0A4B3C655951 3 0.0000 0.977 0.000 0.000 1.000
#> D3803F45-EB0C-4FAD-8C7B-F3755FBF496D 3 0.0000 0.977 0.000 0.000 1.000
#> DF8D09B4-1F48-4D86-A379-1BB16E114CBE 2 0.0000 0.985 0.000 1.000 0.000
#> 2A6CB7AD-79C2-4D43-8D97-61A4A6A79D3B 3 0.0000 0.977 0.000 0.000 1.000
#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 2 0.0000 0.985 0.000 1.000 0.000
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 1 0.1031 0.976 0.976 0.000 0.024
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 2 0.0000 0.985 0.000 1.000 0.000
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 2 0.0000 0.985 0.000 1.000 0.000
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 2 0.0000 0.985 0.000 1.000 0.000
#> 16D23472-C0CB-49F9-9139-77920C50235F 2 0.0000 0.985 0.000 1.000 0.000
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 3 0.5905 0.428 0.000 0.352 0.648
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.0000 0.997 1.000 0.000 0.000
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 2 0.0424 0.978 0.000 0.992 0.008
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.0000 0.997 1.000 0.000 0.000
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 3 0.0000 0.977 0.000 0.000 1.000
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 2 0.0000 0.985 0.000 1.000 0.000
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 2 0.0000 0.985 0.000 1.000 0.000
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 2 0.0000 0.985 0.000 1.000 0.000
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 2 0.0000 0.985 0.000 1.000 0.000
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 3 0.0000 0.977 0.000 0.000 1.000
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 3 0.0000 0.977 0.000 0.000 1.000
#> D14A535D-5C31-4D78-8F92-3B50922211A2 3 0.0000 0.977 0.000 0.000 1.000
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.0000 0.985 0.000 1.000 0.000
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.0000 0.985 0.000 1.000 0.000
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 3 0.0000 0.977 0.000 0.000 1.000
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 3 0.0000 0.977 0.000 0.000 1.000
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.0000 0.985 0.000 1.000 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 2 0.0000 0.985 0.000 1.000 0.000
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 2 0.0000 0.985 0.000 1.000 0.000
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.0000 0.985 0.000 1.000 0.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.0000 0.985 0.000 1.000 0.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.6260 0.194 0.000 0.552 0.448
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 3 0.0000 0.977 0.000 0.000 1.000
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.0000 0.985 0.000 1.000 0.000
#> 212CB113-E765-4146-AC8A-B34044E2A849 2 0.0000 0.985 0.000 1.000 0.000
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.0000 0.997 1.000 0.000 0.000
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.0000 0.985 0.000 1.000 0.000
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.0000 0.985 0.000 1.000 0.000
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.0000 0.985 0.000 1.000 0.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.0000 0.985 0.000 1.000 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.0000 0.985 0.000 1.000 0.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 3 0.0000 0.977 0.000 0.000 1.000
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.0000 0.997 1.000 0.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.4750 0.722 0.000 0.784 0.216
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 3 0.0000 0.977 0.000 0.000 1.000
#> B8A16628-2A0B-41AB-A057-82E2F855524D 3 0.0000 0.977 0.000 0.000 1.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.0000 0.985 0.000 1.000 0.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.0000 0.985 0.000 1.000 0.000
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.0000 0.985 0.000 1.000 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 3 0.0000 0.977 0.000 0.000 1.000
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 3 0.0000 0.977 0.000 0.000 1.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 2 0.0000 0.985 0.000 1.000 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 2 0.0000 0.985 0.000 1.000 0.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 3 0.0000 0.977 0.000 0.000 1.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.4235 0.782 0.000 0.824 0.176
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.0000 0.985 0.000 1.000 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 3 0.0000 0.977 0.000 0.000 1.000
#> 560C9030-5EF4-466E-9149-BFB8215A512A 2 0.0000 0.985 0.000 1.000 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.0000 0.997 1.000 0.000 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.0000 0.985 0.000 1.000 0.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.0000 0.985 0.000 1.000 0.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.0000 0.997 1.000 0.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.0000 0.985 0.000 1.000 0.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.0000 0.985 0.000 1.000 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0000 0.997 1.000 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 3 0.0000 0.977 0.000 0.000 1.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 3 0.4452 0.687 0.000 0.192 0.808
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.5621 0.558 0.000 0.692 0.308
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.0000 0.985 0.000 1.000 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.0000 0.985 0.000 1.000 0.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 2 0.6168 0.305 0.000 0.588 0.412
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.0000 0.985 0.000 1.000 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 3 0.0000 0.977 0.000 0.000 1.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 2 0.0000 0.985 0.000 1.000 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.0000 0.985 0.000 1.000 0.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 3 0.0000 0.977 0.000 0.000 1.000
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.0000 0.985 0.000 1.000 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.0000 0.985 0.000 1.000 0.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 2 0.6305 0.076 0.000 0.516 0.484
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.0000 0.977 0.000 0.000 1.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 3 0.4504 0.755 0.196 0.000 0.804
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 3 0.0000 0.977 0.000 0.000 1.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 2 0.0000 0.985 0.000 1.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.0000 0.985 0.000 1.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.0000 0.985 0.000 1.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.0000 0.997 1.000 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 2 0.0000 0.985 0.000 1.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.0000 0.985 0.000 1.000 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.0000 0.985 0.000 1.000 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.6062 0.382 0.000 0.616 0.384
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.0000 0.985 0.000 1.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 3 0.0000 0.977 0.000 0.000 1.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 2 0.0000 0.985 0.000 1.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0000 0.997 1.000 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.0000 0.985 0.000 1.000 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0000 0.985 0.000 1.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.0000 0.977 0.000 0.000 1.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0000 0.977 0.000 0.000 1.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.977 0.000 0.000 1.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 3 0.0000 0.977 0.000 0.000 1.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.0000 0.977 0.000 0.000 1.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.0000 0.985 0.000 1.000 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 3 0.0000 0.977 0.000 0.000 1.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0000 0.997 1.000 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0000 0.985 0.000 1.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0000 0.985 0.000 1.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0000 0.985 0.000 1.000 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0000 0.985 0.000 1.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.0000 0.985 0.000 1.000 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.985 0.000 1.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.0000 0.985 0.000 1.000 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.5678 0.542 0.000 0.684 0.316
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.985 0.000 1.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.0000 0.985 0.000 1.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0000 0.985 0.000 1.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0000 0.997 1.000 0.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.0000 0.985 0.000 1.000 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.2796 0.887 0.000 0.908 0.092
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.0000 0.985 0.000 1.000 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0000 0.985 0.000 1.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.0000 0.985 0.000 1.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.0000 0.985 0.000 1.000 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.0000 0.985 0.000 1.000 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.0000 0.985 0.000 1.000 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.985 0.000 1.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.0000 0.985 0.000 1.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.0000 0.985 0.000 1.000 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.0000 0.985 0.000 1.000 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.0000 0.985 0.000 1.000 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 3 0.0000 0.977 0.000 0.000 1.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.3267 0.809 0.000 0.116 0.884
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.0000 0.997 1.000 0.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.0000 0.985 0.000 1.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0000 0.985 0.000 1.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.0237 0.971 0.000 0.004 0.996
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 3 0.0000 0.977 0.000 0.000 1.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.0000 0.985 0.000 1.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.1643 0.941 0.000 0.956 0.044
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.0000 0.985 0.000 1.000 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 3 0.6026 0.377 0.376 0.000 0.624
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.0000 0.985 0.000 1.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 3 0.0000 0.977 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.3486 0.6848 0.000 0.812 0.188 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 4 0.0000 0.9286 0.000 0.000 0.000 1.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.1022 0.9599 0.968 0.000 0.000 0.032
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.7812 0.000 0.000 1.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.0000 0.7812 0.000 0.000 1.000 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.9885 1.000 0.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 3 0.4996 0.2779 0.000 0.484 0.516 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0188 0.7808 0.000 0.004 0.996 0.000
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#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 3 0.0000 0.7812 0.000 0.000 1.000 0.000
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.0000 0.9885 1.000 0.000 0.000 0.000
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 3 0.4008 0.7406 0.000 0.244 0.756 0.000
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.0000 0.9885 1.000 0.000 0.000 0.000
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 4 0.3266 0.7807 0.000 0.000 0.168 0.832
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 2 0.4040 0.7063 0.000 0.752 0.248 0.000
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 2 0.4431 0.4501 0.000 0.696 0.304 0.000
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 2 0.3123 0.7331 0.000 0.844 0.156 0.000
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 4 0.0000 0.9286 0.000 0.000 0.000 1.000
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 3 0.4679 0.4559 0.000 0.000 0.648 0.352
#> D14A535D-5C31-4D78-8F92-3B50922211A2 4 0.0000 0.9286 0.000 0.000 0.000 1.000
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 4 0.4072 0.6620 0.000 0.000 0.252 0.748
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 4 0.0000 0.9286 0.000 0.000 0.000 1.000
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.0188 0.8835 0.000 0.996 0.004 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 2 0.4040 0.7063 0.000 0.752 0.248 0.000
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 3 0.0000 0.7812 0.000 0.000 1.000 0.000
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.2647 0.7766 0.000 0.880 0.120 0.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.0188 0.8835 0.000 0.996 0.004 0.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 3 0.4199 0.7752 0.000 0.164 0.804 0.032
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 3 0.3942 0.6416 0.000 0.000 0.764 0.236
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.2814 0.7021 0.000 0.132 0.868 0.000
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.0000 0.9885 1.000 0.000 0.000 0.000
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.4999 -0.2435 0.000 0.508 0.492 0.000
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.3649 0.6566 0.000 0.796 0.204 0.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.4985 -0.1491 0.000 0.532 0.468 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 4 0.0000 0.9286 0.000 0.000 0.000 1.000
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.0000 0.9885 1.000 0.000 0.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 3 0.3837 0.7537 0.000 0.224 0.776 0.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 4 0.0000 0.9286 0.000 0.000 0.000 1.000
#> B8A16628-2A0B-41AB-A057-82E2F855524D 4 0.0000 0.9286 0.000 0.000 0.000 1.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 4 0.0000 0.9286 0.000 0.000 0.000 1.000
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 4 0.0000 0.9286 0.000 0.000 0.000 1.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0000 0.7812 0.000 0.000 1.000 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.1474 0.7892 0.000 0.052 0.948 0.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 3 0.4907 0.2934 0.000 0.000 0.580 0.420
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 3 0.3710 0.7689 0.000 0.192 0.804 0.004
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 3 0.4999 0.2772 0.000 0.492 0.508 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 3 0.4643 0.4574 0.000 0.000 0.656 0.344
#> 560C9030-5EF4-466E-9149-BFB8215A512A 2 0.4040 0.7063 0.000 0.752 0.248 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.0000 0.9885 1.000 0.000 0.000 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.2530 0.7885 0.000 0.888 0.112 0.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 3 0.4866 0.5141 0.000 0.404 0.596 0.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.0000 0.9885 1.000 0.000 0.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0000 0.9885 1.000 0.000 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 4 0.0000 0.9286 0.000 0.000 0.000 1.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 3 0.3569 0.6816 0.000 0.000 0.804 0.196
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 3 0.0000 0.7812 0.000 0.000 1.000 0.000
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.0469 0.8789 0.000 0.988 0.012 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.4134 0.6947 0.000 0.740 0.260 0.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0000 0.7812 0.000 0.000 1.000 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 4 0.1302 0.8954 0.000 0.000 0.044 0.956
#> 62315297-B01F-4A7F-9C15-5B602099257F 2 0.4072 0.7026 0.000 0.748 0.252 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 3 0.0000 0.7812 0.000 0.000 1.000 0.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.0000 0.9286 0.000 0.000 0.000 1.000
#> D7791F51-5151-4E21-802F-F61EE07D626F 3 0.4040 0.7376 0.000 0.248 0.752 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.0000 0.7812 0.000 0.000 1.000 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.4985 0.1386 0.000 0.000 0.532 0.468
#> B0055BFB-D214-4C23-9366-7F909D7630FA 4 0.1022 0.9036 0.032 0.000 0.000 0.968
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 4 0.0000 0.9286 0.000 0.000 0.000 1.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0188 0.7804 0.000 0.004 0.996 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.0188 0.8835 0.000 0.996 0.004 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.0000 0.9885 1.000 0.000 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 2 0.4040 0.7063 0.000 0.752 0.248 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 3 0.3801 0.7561 0.000 0.220 0.780 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 3 0.0188 0.7804 0.000 0.004 0.996 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.3311 0.7019 0.000 0.000 0.828 0.172
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.3907 0.7218 0.000 0.768 0.232 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 4 0.0000 0.9286 0.000 0.000 0.000 1.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.3610 0.6160 0.000 0.200 0.800 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0000 0.9885 1.000 0.000 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.0188 0.8835 0.000 0.996 0.004 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 3 0.4040 0.7376 0.000 0.248 0.752 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 4 0.0000 0.9286 0.000 0.000 0.000 1.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.0000 0.7812 0.000 0.000 1.000 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.4992 -0.1339 0.000 0.000 0.524 0.476
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 4 0.4500 0.5331 0.000 0.000 0.316 0.684
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 4 0.0000 0.9286 0.000 0.000 0.000 1.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 3 0.4040 0.7376 0.000 0.248 0.752 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 3 0.4992 0.1121 0.000 0.000 0.524 0.476
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0000 0.9885 1.000 0.000 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 3 0.3907 0.7488 0.000 0.232 0.768 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0188 0.8835 0.000 0.996 0.004 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 3 0.3688 0.7630 0.000 0.208 0.792 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.0336 0.8817 0.000 0.992 0.008 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.4782 0.7221 0.000 0.068 0.780 0.152
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 3 0.4040 0.7376 0.000 0.248 0.752 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.4134 0.6947 0.000 0.740 0.260 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0000 0.9885 1.000 0.000 0.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 3 0.0000 0.7812 0.000 0.000 1.000 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.7812 0.000 0.000 1.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.3649 0.6563 0.000 0.796 0.204 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 3 0.4040 0.7376 0.000 0.248 0.752 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.5000 0.2544 0.000 0.500 0.500 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.0336 0.8817 0.000 0.992 0.008 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 3 0.3610 0.7658 0.000 0.200 0.800 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.0000 0.7812 0.000 0.000 1.000 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 3 0.0336 0.7830 0.000 0.008 0.992 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.0000 0.7812 0.000 0.000 1.000 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.0469 0.8790 0.000 0.988 0.012 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.0000 0.7812 0.000 0.000 1.000 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 3 0.4072 0.6217 0.000 0.000 0.748 0.252
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0000 0.7812 0.000 0.000 1.000 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.0000 0.9885 1.000 0.000 0.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 3 0.4898 0.4888 0.000 0.416 0.584 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.3942 0.6416 0.000 0.000 0.764 0.236
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 4 0.0000 0.9286 0.000 0.000 0.000 1.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.0188 0.7804 0.000 0.004 0.996 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 3 0.4040 0.7376 0.000 0.248 0.752 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.0000 0.8854 0.000 1.000 0.000 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 4 0.0000 0.9286 0.000 0.000 0.000 1.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.5000 -0.2636 0.000 0.500 0.500 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 4 0.0000 0.9286 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
#> 72189C87-53DD-427E-B163-91E404577A7A 3 0.6227 0.5127 0.000 0.184 0.536 0.280 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 5 0.2020 0.7861 0.000 0.000 0.000 0.100 0.900
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0324 0.8255 0.000 0.992 0.004 0.004 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.4235 0.4539 0.576 0.000 0.000 0.000 0.424
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0955 0.8221 0.000 0.968 0.028 0.004 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.3876 0.2859 0.000 0.000 0.684 0.316 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.3177 0.4004 0.000 0.000 0.792 0.208 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.9805 1.000 0.000 0.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 3 0.5631 0.5446 0.000 0.108 0.600 0.292 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.3684 0.5156 0.000 0.000 0.720 0.280 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0794 0.9690 0.972 0.000 0.000 0.000 0.028
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.1106 0.8186 0.000 0.964 0.024 0.012 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 4 0.4723 -0.1422 0.000 0.012 0.368 0.612 0.008
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.4307 0.3909 0.000 0.504 0.496 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 5 0.4138 0.0973 0.384 0.000 0.000 0.000 0.616
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 4 0.1670 0.4584 0.000 0.012 0.052 0.936 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.1478 0.8066 0.000 0.936 0.064 0.000 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 3 0.5769 0.5286 0.000 0.104 0.556 0.340 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.6603 -0.2253 0.000 0.400 0.388 0.212 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 3 0.5386 0.5117 0.000 0.060 0.544 0.396 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0693 0.8228 0.000 0.980 0.008 0.012 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 5 0.3796 0.7417 0.000 0.000 0.000 0.300 0.700
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0566 0.8250 0.000 0.984 0.012 0.004 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 5 0.2605 0.7822 0.000 0.000 0.000 0.148 0.852
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0290 0.9782 0.992 0.000 0.000 0.000 0.008
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.2179 0.7857 0.000 0.896 0.100 0.004 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 4 0.2517 0.3840 0.000 0.004 0.104 0.884 0.008
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 3 0.4045 0.3035 0.000 0.000 0.644 0.356 0.000
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#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 5 0.0162 0.7813 0.004 0.000 0.000 0.000 0.996
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 3 0.5386 0.5117 0.000 0.060 0.544 0.396 0.000
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 3 0.1626 0.4949 0.000 0.044 0.940 0.016 0.000
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 3 0.2505 0.4676 0.000 0.020 0.888 0.092 0.000
#> 16D23472-C0CB-49F9-9139-77920C50235F 4 0.4905 -0.2615 0.000 0.024 0.476 0.500 0.000
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 4 0.4302 -0.1627 0.000 0.000 0.480 0.520 0.000
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.0000 0.9805 1.000 0.000 0.000 0.000 0.000
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 4 0.5403 -0.4079 0.000 0.056 0.456 0.488 0.000
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.0000 0.9805 1.000 0.000 0.000 0.000 0.000
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 4 0.4127 0.1676 0.000 0.000 0.008 0.680 0.312
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 2 0.4446 0.5103 0.000 0.592 0.400 0.008 0.000
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 3 0.6279 0.5064 0.000 0.192 0.528 0.280 0.000
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 3 0.6423 0.4702 0.000 0.276 0.504 0.220 0.000
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 2 0.1211 0.8186 0.000 0.960 0.024 0.016 0.000
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 5 0.4126 0.6787 0.000 0.000 0.000 0.380 0.620
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 4 0.1774 0.5037 0.000 0.000 0.016 0.932 0.052
#> D14A535D-5C31-4D78-8F92-3B50922211A2 5 0.0609 0.7871 0.000 0.000 0.000 0.020 0.980
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.4297 0.5454 0.000 0.692 0.288 0.020 0.000
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.0671 0.8245 0.000 0.980 0.016 0.004 0.000
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 4 0.4101 -0.0524 0.000 0.000 0.000 0.628 0.372
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 5 0.3816 0.7401 0.000 0.000 0.000 0.304 0.696
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.5115 0.5867 0.000 0.696 0.168 0.136 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 2 0.4283 0.4520 0.000 0.544 0.456 0.000 0.000
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 3 0.4150 0.2854 0.000 0.000 0.612 0.388 0.000
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 3 0.6388 0.4964 0.000 0.208 0.508 0.284 0.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.1469 0.8167 0.000 0.948 0.036 0.016 0.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 4 0.4703 -0.1116 0.000 0.028 0.340 0.632 0.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 4 0.2740 0.4296 0.000 0.000 0.096 0.876 0.028
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.1106 0.8186 0.000 0.964 0.024 0.012 0.000
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.1197 0.5131 0.000 0.000 0.952 0.048 0.000
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.0703 0.9713 0.976 0.000 0.000 0.000 0.024
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.0912 0.8252 0.000 0.972 0.016 0.012 0.000
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 3 0.5982 0.5287 0.000 0.136 0.552 0.312 0.000
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 3 0.5627 0.3910 0.000 0.368 0.548 0.084 0.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 3 0.6178 0.5165 0.000 0.168 0.536 0.296 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.1211 0.8186 0.000 0.960 0.024 0.016 0.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 5 0.2329 0.7836 0.000 0.000 0.000 0.124 0.876
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.0000 0.9805 1.000 0.000 0.000 0.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 4 0.4637 -0.0373 0.000 0.036 0.292 0.672 0.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 5 0.0794 0.7832 0.000 0.000 0.000 0.028 0.972
#> B8A16628-2A0B-41AB-A057-82E2F855524D 5 0.3999 0.7230 0.000 0.000 0.000 0.344 0.656
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.1211 0.8186 0.000 0.960 0.024 0.016 0.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.1082 0.8193 0.000 0.964 0.028 0.008 0.000
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.0671 0.8245 0.000 0.980 0.016 0.004 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 5 0.3876 0.7336 0.000 0.000 0.000 0.316 0.684
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 5 0.3913 0.7288 0.000 0.000 0.000 0.324 0.676
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.3395 0.3425 0.000 0.000 0.764 0.236 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.4437 0.4512 0.000 0.004 0.532 0.464 0.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 4 0.1282 0.5051 0.000 0.000 0.004 0.952 0.044
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 4 0.4608 -0.0860 0.000 0.024 0.336 0.640 0.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 3 0.5683 0.5413 0.000 0.108 0.588 0.304 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 4 0.1992 0.4839 0.000 0.000 0.044 0.924 0.032
#> 560C9030-5EF4-466E-9149-BFB8215A512A 2 0.4268 0.4631 0.000 0.556 0.444 0.000 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.0000 0.9805 1.000 0.000 0.000 0.000 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 3 0.5932 0.3891 0.000 0.356 0.528 0.116 0.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 3 0.5804 0.5224 0.000 0.104 0.544 0.352 0.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.0000 0.9805 1.000 0.000 0.000 0.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.0566 0.8250 0.000 0.984 0.012 0.004 0.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.4682 0.3819 0.000 0.620 0.356 0.024 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0000 0.9805 1.000 0.000 0.000 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 5 0.2471 0.7821 0.000 0.000 0.000 0.136 0.864
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.4029 -0.0134 0.000 0.000 0.316 0.680 0.004
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 4 0.4297 -0.1785 0.000 0.000 0.472 0.528 0.000
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.6108 0.3577 0.000 0.568 0.208 0.224 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 3 0.4562 -0.3848 0.000 0.496 0.496 0.008 0.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.3612 0.3115 0.000 0.000 0.732 0.268 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.1205 0.8219 0.000 0.956 0.040 0.004 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 4 0.4278 -0.3146 0.000 0.000 0.000 0.548 0.452
#> 62315297-B01F-4A7F-9C15-5B602099257F 2 0.4307 0.3761 0.000 0.504 0.496 0.000 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 3 0.4341 0.2975 0.000 0.004 0.592 0.404 0.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 5 0.4306 0.4508 0.000 0.000 0.000 0.492 0.508
#> D7791F51-5151-4E21-802F-F61EE07D626F 3 0.5386 0.5117 0.000 0.060 0.544 0.396 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.1018 0.8209 0.000 0.968 0.016 0.016 0.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.4150 0.2592 0.000 0.000 0.612 0.388 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 4 0.3720 0.3315 0.000 0.000 0.012 0.760 0.228
#> B0055BFB-D214-4C23-9366-7F909D7630FA 5 0.0162 0.7813 0.004 0.000 0.000 0.000 0.996
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 5 0.3949 0.7321 0.000 0.000 0.000 0.332 0.668
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.3366 0.3362 0.000 0.000 0.768 0.232 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.0671 0.8245 0.000 0.980 0.016 0.004 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.1845 0.8045 0.000 0.928 0.016 0.056 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.0000 0.9805 1.000 0.000 0.000 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 2 0.4268 0.4631 0.000 0.556 0.444 0.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 3 0.5243 0.5074 0.000 0.048 0.540 0.412 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 3 0.1740 0.5171 0.000 0.012 0.932 0.056 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 4 0.4323 -0.0511 0.000 0.012 0.332 0.656 0.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.3876 0.6255 0.000 0.684 0.316 0.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 5 0.4015 0.7195 0.000 0.000 0.000 0.348 0.652
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.1768 0.4707 0.000 0.072 0.924 0.004 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0000 0.9805 1.000 0.000 0.000 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.4665 0.6468 0.000 0.740 0.112 0.148 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 3 0.5476 0.5146 0.000 0.068 0.544 0.388 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 5 0.1608 0.7876 0.000 0.000 0.000 0.072 0.928
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 4 0.3796 0.3629 0.000 0.000 0.300 0.700 0.000
#> E5D94733-7D43-4021-8F57-4426EF183682 4 0.5342 0.3094 0.000 0.000 0.312 0.612 0.076
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 4 0.3983 0.0643 0.000 0.000 0.000 0.660 0.340
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 5 0.4015 0.7195 0.000 0.000 0.000 0.348 0.652
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 3 0.5386 0.5117 0.000 0.060 0.544 0.396 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.3621 0.3916 0.000 0.000 0.020 0.788 0.192
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.2329 0.8891 0.876 0.000 0.000 0.000 0.124
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.1205 0.8178 0.000 0.956 0.040 0.004 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 3 0.5359 0.5028 0.000 0.056 0.532 0.412 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0162 0.8253 0.000 0.996 0.000 0.004 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.2793 0.7749 0.000 0.876 0.088 0.036 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 3 0.5420 0.5356 0.000 0.076 0.592 0.332 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0771 0.8250 0.000 0.976 0.020 0.004 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.5895 0.4003 0.000 0.588 0.260 0.152 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 4 0.4329 -0.0148 0.000 0.000 0.312 0.672 0.016
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 3 0.5386 0.5117 0.000 0.060 0.544 0.396 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.4307 0.3909 0.000 0.504 0.496 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0671 0.8245 0.000 0.980 0.016 0.004 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0000 0.9805 1.000 0.000 0.000 0.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 3 0.4060 0.3392 0.000 0.000 0.640 0.360 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.3612 0.3115 0.000 0.000 0.732 0.268 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.4641 0.1988 0.000 0.456 0.532 0.012 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 3 0.5423 0.5133 0.000 0.064 0.548 0.388 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.1444 0.4984 0.000 0.040 0.948 0.012 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.5595 0.4689 0.000 0.624 0.252 0.124 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 4 0.4473 -0.0874 0.000 0.020 0.324 0.656 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.4088 0.3566 0.000 0.000 0.632 0.368 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0865 0.8229 0.000 0.972 0.024 0.004 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.4302 -0.2122 0.000 0.000 0.480 0.520 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.4227 0.2822 0.000 0.000 0.580 0.420 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.4774 0.3948 0.000 0.612 0.360 0.028 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.4182 0.3252 0.000 0.004 0.644 0.352 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 4 0.1915 0.4870 0.000 0.000 0.040 0.928 0.032
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.3913 0.2662 0.000 0.000 0.676 0.324 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.0510 0.9752 0.984 0.000 0.000 0.000 0.016
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 3 0.5901 0.5239 0.000 0.116 0.540 0.344 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0771 0.8250 0.000 0.976 0.020 0.004 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 4 0.1485 0.4811 0.000 0.000 0.032 0.948 0.020
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 5 0.0162 0.7846 0.000 0.000 0.000 0.004 0.996
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.1608 0.4891 0.000 0.000 0.928 0.072 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 3 0.5425 0.4926 0.000 0.060 0.520 0.420 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.4329 0.5029 0.000 0.672 0.312 0.016 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 5 0.0609 0.7833 0.000 0.000 0.000 0.020 0.980
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.1908 0.4599 0.000 0.092 0.908 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 5 0.3816 0.7401 0.000 0.000 0.000 0.304 0.696
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.1364 0.56491 0.944 0.000 0.004 0.048 0.000 0.004
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.3052 0.57914 0.004 0.780 0.000 0.000 0.000 0.216
#> 3BBC7540-136B-47C8-9C09-CD423685B742 4 0.2734 0.81296 0.148 0.000 0.008 0.840 0.000 0.004
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.4373 0.38321 0.000 0.688 0.044 0.008 0.260 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 4 0.2367 0.82856 0.088 0.000 0.016 0.888 0.000 0.008
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.4539 0.55998 0.096 0.000 0.688 0.000 0.000 0.216
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.4121 0.58336 0.116 0.000 0.748 0.000 0.000 0.136
#> C590B811-A42F-4ED2-896A-513EFD42D62D 5 0.0000 0.96244 0.000 0.000 0.000 0.000 1.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.4709 0.41320 0.724 0.000 0.172 0.048 0.000 0.056
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 1 0.5271 0.01092 0.516 0.000 0.392 0.004 0.000 0.088
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.2190 0.92942 0.000 0.040 0.044 0.008 0.908 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.1078 0.81856 0.008 0.000 0.016 0.964 0.000 0.012
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.6398 0.18965 0.332 0.012 0.364 0.000 0.000 0.292
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#> CA502AEA-B561-4ED8-B152-5F477B110EC5 1 0.3704 0.45852 0.744 0.000 0.016 0.232 0.000 0.008
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.3147 0.51508 0.816 0.000 0.160 0.008 0.000 0.016
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.5087 0.15968 0.396 0.000 0.540 0.048 0.000 0.016
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 1 0.4217 0.46321 0.672 0.000 0.008 0.296 0.000 0.024
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.5786 0.18975 0.504 0.000 0.256 0.000 0.000 0.240
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.5587 0.49655 0.188 0.000 0.540 0.000 0.000 0.272
#> 69B229BC-0964-48FC-9FBC-B9303C027981 4 0.2278 0.81774 0.128 0.000 0.000 0.868 0.000 0.004
#> F17C0E73-4C34-4F82-8562-56985A59316C 3 0.5925 0.39836 0.256 0.000 0.464 0.000 0.000 0.280
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.5712 0.45410 0.220 0.000 0.520 0.000 0.000 0.260
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 1 0.5845 0.31732 0.556 0.000 0.100 0.304 0.000 0.040
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.5951 0.48069 0.232 0.000 0.528 0.012 0.000 0.228
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 6 0.5050 0.37651 0.260 0.004 0.108 0.000 0.000 0.628
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.4592 0.54476 0.080 0.000 0.664 0.000 0.000 0.256
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 5 0.1832 0.93958 0.000 0.032 0.032 0.008 0.928 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.3737 0.52389 0.800 0.000 0.136 0.028 0.000 0.036
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 4 0.2051 0.82588 0.096 0.000 0.004 0.896 0.000 0.004
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 6 0.4819 0.36856 0.132 0.000 0.204 0.000 0.000 0.664
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.0260 0.74317 0.000 0.992 0.000 0.000 0.000 0.008
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.2830 0.56260 0.144 0.000 0.836 0.000 0.000 0.020
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.4737 0.42092 0.676 0.000 0.192 0.000 0.000 0.132
#> 44A16F74-F823-4B27-AC3B-52526426199B 1 0.5566 0.11016 0.500 0.000 0.100 0.388 0.000 0.012
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.3461 0.65557 0.000 0.804 0.036 0.008 0.000 0.152
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.3956 0.43227 0.252 0.000 0.716 0.028 0.000 0.004
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.3915 0.23428 0.004 0.584 0.000 0.000 0.000 0.412
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 17395 rows and 473 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 0.984 0.993 0.4634 0.536 0.536
#> 3 3 0.815 0.864 0.935 0.3593 0.814 0.658
#> 4 4 0.724 0.812 0.890 0.0975 0.928 0.807
#> 5 5 0.662 0.624 0.791 0.0883 0.917 0.744
#> 6 6 0.676 0.581 0.765 0.0439 0.934 0.759
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.9961 0.000 1.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.0000 0.9886 1.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0000 0.9961 0.000 1.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.9886 1.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0000 0.9961 0.000 1.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.0000 0.9961 0.000 1.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.0000 0.9961 0.000 1.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.9886 1.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.0000 0.9961 0.000 1.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.0000 0.9961 0.000 1.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.9886 1.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0000 0.9961 0.000 1.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.0000 0.9961 0.000 1.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.0000 0.9961 0.000 1.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0000 0.9886 1.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.5629 0.8443 0.132 0.868
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.0000 0.9961 0.000 1.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.0000 0.9961 0.000 1.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0000 0.9961 0.000 1.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0000 0.9961 0.000 1.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0000 0.9961 0.000 1.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 1 0.0000 0.9886 1.000 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0000 0.9961 0.000 1.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 1 0.0000 0.9886 1.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0000 0.9886 1.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0000 0.9961 0.000 1.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.5842 0.8337 0.140 0.860
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.0000 0.9961 0.000 1.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0000 0.9961 0.000 1.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.0000 0.9961 0.000 1.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 1 0.0000 0.9886 1.000 0.000
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.0000 0.9961 0.000 1.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.0000 0.9961 0.000 1.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0000 0.9961 0.000 1.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0000 0.9886 1.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0000 0.9961 0.000 1.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.0000 0.9961 0.000 1.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.0000 0.9961 0.000 1.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.0000 0.9961 0.000 1.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.0000 0.9961 0.000 1.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.0000 0.9961 0.000 1.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.0000 0.9886 1.000 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.0000 0.9961 0.000 1.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.0000 0.9961 0.000 1.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 1 0.0000 0.9886 1.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.0000 0.9886 1.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.0000 0.9961 0.000 1.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0000 0.9961 0.000 1.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.0000 0.9961 0.000 1.000
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.0000 0.9961 0.000 1.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.0000 0.9961 0.000 1.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 1 0.0000 0.9886 1.000 0.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 1 0.0000 0.9886 1.000 0.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.0000 0.9961 0.000 1.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.0000 0.9961 0.000 1.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0000 0.9886 1.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.0000 0.9886 1.000 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.0000 0.9961 0.000 1.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.0000 0.9961 0.000 1.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.0000 0.9886 1.000 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.0000 0.9886 1.000 0.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.0000 0.9961 0.000 1.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.0000 0.9886 1.000 0.000
#> B40B9470-990D-4443-8484-17266E829557 2 0.0000 0.9961 0.000 1.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.0000 0.9886 1.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 1 0.0000 0.9886 1.000 0.000
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.0000 0.9961 0.000 1.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0000 0.9961 0.000 1.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.0000 0.9961 0.000 1.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0000 0.9886 1.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 1 0.0000 0.9886 1.000 0.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0000 0.9961 0.000 1.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.0000 0.9961 0.000 1.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.0000 0.9961 0.000 1.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 2 0.0000 0.9961 0.000 1.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 1 0.0000 0.9886 1.000 0.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.0000 0.9961 0.000 1.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 1 0.0000 0.9886 1.000 0.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.0000 0.9886 1.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.0000 0.9961 0.000 1.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.0000 0.9961 0.000 1.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.0000 0.9961 0.000 1.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 2 0.0000 0.9961 0.000 1.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 2 0.0000 0.9961 0.000 1.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 1 0.0000 0.9886 1.000 0.000
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.0000 0.9961 0.000 1.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 2 0.0000 0.9961 0.000 1.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0000 0.9886 1.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.0000 0.9961 0.000 1.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.0000 0.9961 0.000 1.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.0000 0.9961 0.000 1.000
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.0000 0.9961 0.000 1.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 2 0.0000 0.9961 0.000 1.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 2 0.0000 0.9961 0.000 1.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 1 0.0000 0.9886 1.000 0.000
#> 2C2589E0-2055-43AC-8001-1643839F80D4 1 0.0000 0.9886 1.000 0.000
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 2 0.0000 0.9961 0.000 1.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 1 0.0000 0.9886 1.000 0.000
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 1 0.0000 0.9886 1.000 0.000
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.0000 0.9961 0.000 1.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 1 0.0000 0.9886 1.000 0.000
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.0000 0.9961 0.000 1.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 1 0.0000 0.9886 1.000 0.000
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.0000 0.9961 0.000 1.000
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 1 0.0000 0.9886 1.000 0.000
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 1 0.0000 0.9886 1.000 0.000
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 2 0.0000 0.9961 0.000 1.000
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#> C138DA45-07C9-42F8-94B8-3E78175EC2A0 2 0.0000 0.9961 0.000 1.000
#> CE136B25-E9F6-4BA6-A5D1-D98508339CC4 1 0.0000 0.9886 1.000 0.000
#> E242825F-AA2B-4E39-90CE-FCCA8E4E4837 2 0.0000 0.9961 0.000 1.000
#> 3052340A-ADD5-4A43-A322-49589436B012 1 0.0000 0.9886 1.000 0.000
#> F28F22C6-A172-4863-AE0C-6DBDB995E593 1 0.0000 0.9886 1.000 0.000
#> CD65856B-D10C-49AE-A5D3-AB9A717D97E5 2 0.0000 0.9961 0.000 1.000
#> B308651C-92E6-4860-AF65-FA6D9D908F7B 2 0.0000 0.9961 0.000 1.000
#> D66B3821-4F39-4FDD-8FB7-5420FF822AF9 1 0.6801 0.7805 0.820 0.180
#> BB938CB4-65C7-484A-B3A9-D345289DFA68 1 0.0000 0.9886 1.000 0.000
#> 68A4643D-0822-4088-901A-6EE88E3C39E7 2 0.0000 0.9961 0.000 1.000
#> 5FC3D2CA-E325-48FA-9171-DC8054CCCD26 1 0.0000 0.9886 1.000 0.000
#> 92ABF549-0786-47D2-8355-5C16C090304A 1 0.0000 0.9886 1.000 0.000
#> 709EEE82-EC92-4FD6-81DE-8AAB11EDFC7C 2 0.0000 0.9961 0.000 1.000
#> E9BAF502-4144-4D13-8ED9-81F808A6B966 2 0.0000 0.9961 0.000 1.000
#> B19F8551-14F9-42F3-A2FD-BF748F222393 2 0.0000 0.9961 0.000 1.000
#> 1BCAB024-A978-4CC8-A411-FAC284F2018E 2 0.0000 0.9961 0.000 1.000
#> 75D212E1-0BF3-4282-826D-32EF7B2AC070 2 0.0000 0.9961 0.000 1.000
#> E7F262C2-69DE-4555-86B9-2151C7CF8A17 2 0.0000 0.9961 0.000 1.000
#> 10EC58F7-A6DC-4427-8FDE-D0AF12800DD6 1 0.0000 0.9886 1.000 0.000
#> 46D4C579-DE69-44A5-92B4-13329069FF45 2 0.0000 0.9961 0.000 1.000
#> 5FF6911C-D63C-4A6E-8E51-B116870FBE8C 1 0.0000 0.9886 1.000 0.000
#> 3BED1BB9-EC6D-4B6B-9B4B-268067DA1C21 2 0.0000 0.9961 0.000 1.000
#> C405814A-66E1-45E3-957D-0F32CFE30BFA 1 0.0000 0.9886 1.000 0.000
#> 799673ED-C935-4CE9-B8F3-14EE41C25BA1 1 0.0000 0.9886 1.000 0.000
#> 2A37A64F-C93B-42B6-95D5-744EEFD07FD1 1 0.0000 0.9886 1.000 0.000
#> FA84E86B-3DB8-4A3F-817A-140DE7568611 2 0.0000 0.9961 0.000 1.000
#> D22F5C7C-3BAF-496A-8D3A-FB4D5F853E90 2 0.0000 0.9961 0.000 1.000
#> 3F76F946-07A9-4C0B-BA36-9524068D785B 2 0.0000 0.9961 0.000 1.000
#> 3977EBDA-AD30-4AA0-AC75-E33086DC533D 2 0.0000 0.9961 0.000 1.000
#> 8D361255-E352-4248-9FDF-0A6602CB419D 2 0.0000 0.9961 0.000 1.000
#> 18AE7FAE-0B1E-4F52-BEC6-6158E61EB679 2 0.0000 0.9961 0.000 1.000
#> 5F005483-D289-4A3E-BD1E-0A4B3C655951 1 0.0000 0.9886 1.000 0.000
#> D3803F45-EB0C-4FAD-8C7B-F3755FBF496D 1 0.0000 0.9886 1.000 0.000
#> DF8D09B4-1F48-4D86-A379-1BB16E114CBE 2 0.0000 0.9961 0.000 1.000
#> 2A6CB7AD-79C2-4D43-8D97-61A4A6A79D3B 1 0.0000 0.9886 1.000 0.000
#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 2 0.0000 0.9961 0.000 1.000
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 1 0.0000 0.9886 1.000 0.000
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 2 0.0000 0.9961 0.000 1.000
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 2 0.0000 0.9961 0.000 1.000
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 2 0.0000 0.9961 0.000 1.000
#> 16D23472-C0CB-49F9-9139-77920C50235F 2 0.0000 0.9961 0.000 1.000
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 2 0.0000 0.9961 0.000 1.000
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.0000 0.9886 1.000 0.000
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 2 0.0000 0.9961 0.000 1.000
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.0000 0.9886 1.000 0.000
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 1 0.0000 0.9886 1.000 0.000
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 2 0.0000 0.9961 0.000 1.000
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 2 0.0000 0.9961 0.000 1.000
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 2 0.0000 0.9961 0.000 1.000
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 2 0.0000 0.9961 0.000 1.000
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 1 0.0000 0.9886 1.000 0.000
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 1 0.0000 0.9886 1.000 0.000
#> D14A535D-5C31-4D78-8F92-3B50922211A2 1 0.0000 0.9886 1.000 0.000
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.0000 0.9961 0.000 1.000
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.0000 0.9961 0.000 1.000
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 1 0.0000 0.9886 1.000 0.000
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 1 0.0000 0.9886 1.000 0.000
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.0000 0.9961 0.000 1.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 2 0.0000 0.9961 0.000 1.000
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 2 0.0000 0.9961 0.000 1.000
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.0000 0.9961 0.000 1.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.0000 0.9961 0.000 1.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.0000 0.9961 0.000 1.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 1 0.0672 0.9812 0.992 0.008
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.0000 0.9961 0.000 1.000
#> 212CB113-E765-4146-AC8A-B34044E2A849 2 0.0000 0.9961 0.000 1.000
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.0000 0.9886 1.000 0.000
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.0000 0.9961 0.000 1.000
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.0000 0.9961 0.000 1.000
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.0000 0.9961 0.000 1.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.0000 0.9961 0.000 1.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.0000 0.9961 0.000 1.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 1 0.0000 0.9886 1.000 0.000
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.0000 0.9886 1.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.0000 0.9961 0.000 1.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 1 0.0000 0.9886 1.000 0.000
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.0000 0.9886 1.000 0.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.0000 0.9961 0.000 1.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.0000 0.9961 0.000 1.000
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.0000 0.9961 0.000 1.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 1 0.0000 0.9886 1.000 0.000
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 1 0.0000 0.9886 1.000 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 2 0.0000 0.9961 0.000 1.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 2 0.0000 0.9961 0.000 1.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.0000 0.9886 1.000 0.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.0000 0.9961 0.000 1.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.0000 0.9961 0.000 1.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 1 0.6973 0.7689 0.812 0.188
#> 560C9030-5EF4-466E-9149-BFB8215A512A 2 0.0000 0.9961 0.000 1.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.0000 0.9886 1.000 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.0000 0.9961 0.000 1.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.0000 0.9961 0.000 1.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.0000 0.9886 1.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.0000 0.9961 0.000 1.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.0000 0.9961 0.000 1.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0000 0.9886 1.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.0000 0.9886 1.000 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 1 0.9754 0.3232 0.592 0.408
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.0000 0.9961 0.000 1.000
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.0000 0.9961 0.000 1.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.0000 0.9961 0.000 1.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 2 0.0000 0.9961 0.000 1.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.0000 0.9961 0.000 1.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 0.0000 0.9886 1.000 0.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 2 0.0000 0.9961 0.000 1.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.0000 0.9961 0.000 1.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 1 0.0000 0.9886 1.000 0.000
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.0000 0.9961 0.000 1.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.0000 0.9961 0.000 1.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 2 0.0000 0.9961 0.000 1.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 1 0.0000 0.9886 1.000 0.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.0000 0.9886 1.000 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 1 0.0000 0.9886 1.000 0.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 2 0.0000 0.9961 0.000 1.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.0000 0.9961 0.000 1.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.0000 0.9961 0.000 1.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.0000 0.9886 1.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 2 0.0000 0.9961 0.000 1.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.0000 0.9961 0.000 1.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.0000 0.9961 0.000 1.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.0000 0.9961 0.000 1.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.0000 0.9961 0.000 1.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 1 0.0000 0.9886 1.000 0.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 2 0.0000 0.9961 0.000 1.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0000 0.9886 1.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.0000 0.9961 0.000 1.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0000 0.9961 0.000 1.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.0000 0.9886 1.000 0.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 2 0.9686 0.3375 0.396 0.604
#> E5D94733-7D43-4021-8F57-4426EF183682 1 0.0000 0.9886 1.000 0.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 0.0000 0.9886 1.000 0.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.0000 0.9886 1.000 0.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.0000 0.9961 0.000 1.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 1 0.0000 0.9886 1.000 0.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0000 0.9886 1.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0000 0.9961 0.000 1.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0000 0.9961 0.000 1.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0000 0.9961 0.000 1.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0000 0.9961 0.000 1.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.0000 0.9961 0.000 1.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.9961 0.000 1.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.0000 0.9961 0.000 1.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.0000 0.9961 0.000 1.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.9961 0.000 1.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.0000 0.9961 0.000 1.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0000 0.9961 0.000 1.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0000 0.9886 1.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.0000 0.9961 0.000 1.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.0000 0.9961 0.000 1.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.0000 0.9961 0.000 1.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0000 0.9961 0.000 1.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.0000 0.9961 0.000 1.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.0000 0.9961 0.000 1.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.0000 0.9961 0.000 1.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.0000 0.9961 0.000 1.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.9961 0.000 1.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.0000 0.9961 0.000 1.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.0000 0.9961 0.000 1.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.0000 0.9961 0.000 1.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.0000 0.9961 0.000 1.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.0000 0.9886 1.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.1184 0.9800 0.016 0.984
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.0000 0.9886 1.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.0000 0.9961 0.000 1.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0000 0.9961 0.000 1.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 1 0.8861 0.5714 0.696 0.304
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0000 0.9886 1.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.0000 0.9961 0.000 1.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.0000 0.9961 0.000 1.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.0000 0.9961 0.000 1.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0000 0.9886 1.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.0000 0.9961 0.000 1.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.0000 0.9886 1.000 0.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.92598 0.000 1.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.0000 0.98385 1.000 0.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0000 0.92598 0.000 1.000 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.98385 1.000 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.2796 0.83887 0.000 0.908 0.092
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0892 0.83541 0.000 0.020 0.980
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.4178 0.82051 0.000 0.172 0.828
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.98385 1.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.4452 0.70432 0.000 0.808 0.192
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.5058 0.78158 0.000 0.244 0.756
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.98385 1.000 0.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0000 0.92598 0.000 1.000 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.0424 0.91971 0.000 0.992 0.008
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0892 0.83541 0.000 0.020 0.980
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#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.0000 0.98385 1.000 0.000 0.000
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.0000 0.92598 0.000 1.000 0.000
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.0000 0.92598 0.000 1.000 0.000
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.0000 0.92598 0.000 1.000 0.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.0000 0.92598 0.000 1.000 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.0000 0.92598 0.000 1.000 0.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 1 0.0000 0.98385 1.000 0.000 0.000
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.0000 0.98385 1.000 0.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.0000 0.92598 0.000 1.000 0.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 1 0.0424 0.98027 0.992 0.000 0.008
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.0424 0.98030 0.992 0.000 0.008
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.0000 0.92598 0.000 1.000 0.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.0237 0.92302 0.000 0.996 0.004
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.0000 0.92598 0.000 1.000 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 1 0.0000 0.98385 1.000 0.000 0.000
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 1 0.0000 0.98385 1.000 0.000 0.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.0892 0.83541 0.000 0.020 0.980
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 2 0.4605 0.70029 0.000 0.796 0.204
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 1 0.0892 0.97443 0.980 0.000 0.020
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.4504 0.70082 0.000 0.804 0.196
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.3038 0.82532 0.000 0.896 0.104
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 1 0.4968 0.73884 0.800 0.012 0.188
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0892 0.83541 0.000 0.020 0.980
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.0000 0.98385 1.000 0.000 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.0000 0.92598 0.000 1.000 0.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.0000 0.92598 0.000 1.000 0.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.0000 0.98385 1.000 0.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.0000 0.92598 0.000 1.000 0.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.0000 0.92598 0.000 1.000 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0000 0.98385 1.000 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.0000 0.98385 1.000 0.000 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 3 0.6142 0.79310 0.040 0.212 0.748
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 3 0.4605 0.80737 0.000 0.204 0.796
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.0000 0.92598 0.000 1.000 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 3 0.2261 0.83614 0.000 0.068 0.932
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0892 0.83541 0.000 0.020 0.980
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.0000 0.92598 0.000 1.000 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 1 0.0892 0.97443 0.980 0.000 0.020
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.3116 0.83403 0.000 0.108 0.892
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 3 0.4887 0.79343 0.000 0.228 0.772
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 1 0.0892 0.97443 0.980 0.000 0.020
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.0000 0.92598 0.000 1.000 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.0000 0.92598 0.000 1.000 0.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.5529 0.73206 0.000 0.296 0.704
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 1 0.0892 0.97443 0.980 0.000 0.020
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.0000 0.98385 1.000 0.000 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 1 0.0000 0.98385 1.000 0.000 0.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0892 0.83541 0.000 0.020 0.980
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.0000 0.92598 0.000 1.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.0000 0.92598 0.000 1.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.0000 0.98385 1.000 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.1031 0.83587 0.000 0.024 0.976
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.0000 0.92598 0.000 1.000 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 3 0.5529 0.73219 0.000 0.296 0.704
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.6308 0.01214 0.000 0.492 0.508
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.4346 0.78405 0.000 0.184 0.816
#> EFA48913-D0BD-4530-A445-C327A89CE956 1 0.0892 0.97443 0.980 0.000 0.020
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0892 0.83541 0.000 0.020 0.980
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0000 0.98385 1.000 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.0237 0.92302 0.000 0.996 0.004
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0000 0.92598 0.000 1.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.0000 0.98385 1.000 0.000 0.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.4504 0.66390 0.196 0.000 0.804
#> E5D94733-7D43-4021-8F57-4426EF183682 1 0.5591 0.57109 0.696 0.000 0.304
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 0.0892 0.97443 0.980 0.000 0.020
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.0000 0.98385 1.000 0.000 0.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.3619 0.78773 0.000 0.864 0.136
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 1 0.0747 0.97645 0.984 0.000 0.016
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0000 0.98385 1.000 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0000 0.92598 0.000 1.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0000 0.92598 0.000 1.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0000 0.92598 0.000 1.000 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0000 0.92598 0.000 1.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.0000 0.92598 0.000 1.000 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.92598 0.000 1.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.0000 0.92598 0.000 1.000 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.2448 0.85813 0.000 0.924 0.076
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.92598 0.000 1.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0892 0.83541 0.000 0.020 0.980
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0000 0.92598 0.000 1.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0000 0.98385 1.000 0.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 3 0.4842 0.79625 0.000 0.224 0.776
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0892 0.83541 0.000 0.020 0.980
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.0000 0.92598 0.000 1.000 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0000 0.92598 0.000 1.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.6026 0.34408 0.000 0.624 0.376
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.0000 0.92598 0.000 1.000 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.4346 0.72787 0.000 0.816 0.184
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.6026 0.60700 0.000 0.376 0.624
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.92598 0.000 1.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 3 0.4931 0.79189 0.000 0.232 0.768
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.3752 0.82656 0.000 0.144 0.856
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.0000 0.92598 0.000 1.000 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.4555 0.80865 0.000 0.200 0.800
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.0000 0.98385 1.000 0.000 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0000 0.81968 0.000 0.000 1.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.0000 0.98385 1.000 0.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.0000 0.92598 0.000 1.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0000 0.92598 0.000 1.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 1 0.8321 0.49647 0.624 0.148 0.228
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0000 0.98385 1.000 0.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.4178 0.82070 0.000 0.172 0.828
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.0000 0.92598 0.000 1.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.0000 0.92598 0.000 1.000 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.0000 0.98385 1.000 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0892 0.83541 0.000 0.020 0.980
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.0000 0.98385 1.000 0.000 0.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0469 0.8970 0.000 0.988 0.000 0.012
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0469 0.8965 0.000 0.988 0.012 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.4423 0.7241 0.000 0.788 0.176 0.036
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.1211 0.7507 0.000 0.000 0.960 0.040
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.1929 0.7702 0.000 0.036 0.940 0.024
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.5249 0.5872 0.000 0.708 0.248 0.044
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.6494 0.6799 0.000 0.232 0.632 0.136
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0804 0.8948 0.000 0.980 0.008 0.012
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.0657 0.8967 0.000 0.984 0.012 0.004
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0779 0.7561 0.000 0.004 0.980 0.016
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 4 0.1284 0.6684 0.000 0.024 0.012 0.964
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.4857 0.5174 0.000 0.700 0.284 0.016
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.1488 0.8925 0.000 0.956 0.012 0.032
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.1022 0.8950 0.000 0.968 0.000 0.032
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.2216 0.8667 0.000 0.908 0.000 0.092
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0707 0.8949 0.000 0.980 0.000 0.020
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0000 0.8971 0.000 1.000 0.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 4 0.4164 0.8369 0.264 0.000 0.000 0.736
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0376 0.8972 0.000 0.992 0.004 0.004
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 4 0.2489 0.6631 0.000 0.068 0.020 0.912
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 3 0.4711 0.7611 0.000 0.152 0.784 0.064
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0707 0.8976 0.000 0.980 0.000 0.020
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.7012 0.3312 0.000 0.504 0.124 0.372
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0779 0.7561 0.000 0.004 0.980 0.016
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.3601 0.7721 0.000 0.084 0.860 0.056
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.1302 0.8921 0.000 0.956 0.000 0.044
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0336 0.8974 0.000 0.992 0.000 0.008
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.1118 0.7462 0.000 0.000 0.964 0.036
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.1004 0.8912 0.000 0.972 0.004 0.024
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.3810 0.7260 0.000 0.188 0.804 0.008
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0592 0.7548 0.000 0.000 0.984 0.016
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.5056 0.7535 0.000 0.164 0.760 0.076
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.1557 0.8886 0.000 0.944 0.000 0.056
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.2831 0.8541 0.000 0.876 0.004 0.120
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 4 0.4164 0.8369 0.264 0.000 0.000 0.736
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.0000 0.8971 0.000 1.000 0.000 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.2281 0.8653 0.000 0.904 0.000 0.096
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.4677 0.7088 0.000 0.776 0.176 0.048
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.1767 0.8904 0.000 0.944 0.012 0.044
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.0921 0.8958 0.000 0.972 0.000 0.028
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 4 0.2928 0.7249 0.052 0.000 0.052 0.896
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.4103 0.8398 0.256 0.000 0.000 0.744
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.3247 0.7705 0.000 0.060 0.880 0.060
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.1118 0.7462 0.000 0.000 0.964 0.036
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.1151 0.8904 0.000 0.968 0.008 0.024
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.0921 0.8946 0.000 0.972 0.000 0.028
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.0707 0.8949 0.000 0.980 0.000 0.020
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#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.0376 0.8972 0.000 0.992 0.004 0.004
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.1059 0.8928 0.000 0.972 0.016 0.012
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.0376 0.8972 0.000 0.992 0.004 0.004
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.5253 0.4654 0.008 0.092 0.132 0.768
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 3 0.3243 0.7713 0.000 0.088 0.876 0.036
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.3032 0.8500 0.000 0.868 0.008 0.124
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 3 0.1004 0.7582 0.000 0.004 0.972 0.024
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.1118 0.7462 0.000 0.000 0.964 0.036
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.1510 0.8915 0.000 0.956 0.016 0.028
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 4 0.3942 0.8416 0.236 0.000 0.000 0.764
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.1474 0.7738 0.000 0.052 0.948 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 3 0.4589 0.7585 0.000 0.168 0.784 0.048
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.4134 0.8389 0.260 0.000 0.000 0.740
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.2281 0.8651 0.000 0.904 0.000 0.096
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.1004 0.8912 0.000 0.972 0.004 0.024
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.4319 0.7341 0.000 0.228 0.760 0.012
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 4 0.3768 0.8310 0.184 0.000 0.008 0.808
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 4 0.4643 0.7385 0.344 0.000 0.000 0.656
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.1118 0.7462 0.000 0.000 0.964 0.036
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.1109 0.8950 0.000 0.968 0.004 0.028
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.2647 0.8557 0.000 0.880 0.000 0.120
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0657 0.7572 0.000 0.004 0.984 0.012
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.3523 0.8434 0.000 0.856 0.032 0.112
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 3 0.5512 0.6725 0.000 0.300 0.660 0.040
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 4 0.5638 0.1714 0.000 0.028 0.388 0.584
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.3751 0.7365 0.000 0.196 0.800 0.004
#> EFA48913-D0BD-4530-A445-C327A89CE956 4 0.4134 0.8389 0.260 0.000 0.000 0.740
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0779 0.7561 0.000 0.004 0.980 0.016
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.3694 0.8364 0.000 0.844 0.032 0.124
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0817 0.8965 0.000 0.976 0.000 0.024
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 4 0.5682 0.0679 0.024 0.000 0.456 0.520
#> E5D94733-7D43-4021-8F57-4426EF183682 4 0.6414 0.6064 0.124 0.000 0.240 0.636
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 4 0.3801 0.8410 0.220 0.000 0.000 0.780
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.2670 0.8535 0.000 0.904 0.072 0.024
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 4 0.4500 0.7794 0.316 0.000 0.000 0.684
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.1209 0.8938 0.000 0.964 0.004 0.032
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.2589 0.8572 0.000 0.884 0.000 0.116
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0188 0.8972 0.000 0.996 0.000 0.004
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0336 0.8974 0.000 0.992 0.000 0.008
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.1624 0.8907 0.000 0.952 0.020 0.028
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0657 0.8972 0.000 0.984 0.012 0.004
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.2704 0.8572 0.000 0.876 0.000 0.124
#> 0B400F91-2355-43AB-AA86-725C21352AB7 4 0.4188 0.4355 0.000 0.244 0.004 0.752
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0592 0.8976 0.000 0.984 0.000 0.016
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0779 0.7561 0.000 0.004 0.980 0.016
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0188 0.8971 0.000 0.996 0.000 0.004
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 3 0.4237 0.7643 0.000 0.152 0.808 0.040
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0592 0.7540 0.000 0.000 0.984 0.016
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.0188 0.8972 0.000 0.996 0.000 0.004
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0817 0.8963 0.000 0.976 0.000 0.024
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.5212 0.1963 0.000 0.572 0.420 0.008
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.2281 0.8707 0.000 0.904 0.000 0.096
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.5111 0.7306 0.000 0.740 0.056 0.204
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.5467 0.5716 0.000 0.364 0.612 0.024
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0524 0.8977 0.000 0.988 0.004 0.008
#> F17C0E73-4C34-4F82-8562-56985A59316C 3 0.4731 0.7581 0.000 0.160 0.780 0.060
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.3245 0.7464 0.000 0.028 0.872 0.100
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.0927 0.8936 0.000 0.976 0.008 0.016
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.5859 0.7327 0.000 0.156 0.704 0.140
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.4132 0.6951 0.804 0.012 0.008 0.176
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.1940 0.7423 0.000 0.000 0.924 0.076
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.2704 0.8537 0.000 0.876 0.000 0.124
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.1452 0.8924 0.000 0.956 0.008 0.036
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 4 0.2021 0.7319 0.056 0.000 0.012 0.932
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0000 0.9715 1.000 0.000 0.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.2647 0.7769 0.000 0.120 0.880 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.0592 0.8976 0.000 0.984 0.000 0.016
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.0188 0.8972 0.000 0.996 0.000 0.004
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.4605 0.2743 0.664 0.000 0.000 0.336
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0779 0.7561 0.000 0.004 0.980 0.016
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.0000 0.9715 1.000 0.000 0.000 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.2230 0.68359 0.000 0.884 0.000 0.116 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.0162 0.96561 0.996 0.000 0.000 0.004 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.1628 0.68409 0.000 0.936 0.008 0.056 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.4973 -0.09306 0.000 0.496 0.020 0.480 0.004
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.2416 0.68747 0.000 0.000 0.888 0.100 0.012
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.4865 0.45114 0.000 0.048 0.680 0.268 0.004
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 4 0.4854 0.43233 0.000 0.340 0.028 0.628 0.004
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 4 0.5624 0.46896 0.000 0.140 0.208 0.648 0.004
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.1341 0.69147 0.000 0.944 0.000 0.056 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.4122 0.45115 0.000 0.688 0.004 0.304 0.004
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0162 0.73076 0.000 0.004 0.996 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 5 0.3491 0.65495 0.000 0.000 0.004 0.228 0.768
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.5237 0.39283 0.000 0.664 0.100 0.236 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.4166 0.40177 0.000 0.648 0.004 0.348 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.2966 0.63468 0.000 0.816 0.000 0.184 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.4170 0.61788 0.000 0.760 0.000 0.192 0.048
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.2230 0.68706 0.000 0.884 0.000 0.116 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 1 0.0162 0.96561 0.996 0.000 0.000 0.004 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.1121 0.69134 0.000 0.956 0.000 0.044 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 5 0.2179 0.87638 0.112 0.000 0.000 0.000 0.888
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.1792 0.68363 0.000 0.916 0.000 0.084 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 5 0.1885 0.78793 0.000 0.020 0.004 0.044 0.932
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.5357 0.16307 0.000 0.032 0.348 0.600 0.020
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.3143 0.65092 0.000 0.796 0.000 0.204 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.5346 0.45560 0.000 0.168 0.008 0.692 0.132
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0162 0.73076 0.000 0.004 0.996 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.5915 -0.01950 0.000 0.108 0.508 0.384 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.3895 0.48399 0.000 0.680 0.000 0.320 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.1478 0.69396 0.000 0.936 0.000 0.064 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0290 0.72889 0.000 0.000 0.992 0.000 0.008
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.3932 0.45782 0.000 0.672 0.000 0.328 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.3163 0.56993 0.000 0.164 0.824 0.012 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0703 0.72574 0.000 0.000 0.976 0.024 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 4 0.4703 0.46357 0.000 0.096 0.156 0.744 0.004
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.4470 0.38523 0.000 0.616 0.000 0.372 0.012
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.4713 0.27524 0.000 0.544 0.000 0.440 0.016
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 5 0.1965 0.87960 0.096 0.000 0.000 0.000 0.904
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.2690 0.67162 0.000 0.844 0.000 0.156 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.4481 0.59034 0.000 0.720 0.000 0.232 0.048
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.4798 0.18771 0.000 0.440 0.020 0.540 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.4138 0.38866 0.000 0.616 0.000 0.384 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.3381 0.64333 0.000 0.808 0.000 0.176 0.016
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 5 0.1739 0.80536 0.004 0.000 0.024 0.032 0.940
#> FE2C169A-E41F-45EB-B61E-776493069D78 5 0.2074 0.87883 0.104 0.000 0.000 0.000 0.896
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.5862 0.08678 0.000 0.068 0.516 0.404 0.012
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0290 0.72889 0.000 0.000 0.992 0.000 0.008
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.3010 0.59857 0.000 0.824 0.000 0.172 0.004
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.3534 0.56252 0.000 0.744 0.000 0.256 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.3177 0.65223 0.000 0.792 0.000 0.208 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> B40B9470-990D-4443-8484-17266E829557 2 0.1502 0.69775 0.000 0.940 0.000 0.056 0.004
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 5 0.2179 0.87638 0.112 0.000 0.000 0.000 0.888
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.4213 0.44669 0.000 0.680 0.012 0.308 0.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0794 0.69191 0.000 0.972 0.000 0.028 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.0703 0.69338 0.000 0.976 0.000 0.024 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 5 0.1908 0.87905 0.092 0.000 0.000 0.000 0.908
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0880 0.69108 0.000 0.968 0.000 0.032 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.4670 0.32019 0.000 0.648 0.016 0.328 0.008
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 4 0.4743 0.52032 0.000 0.248 0.048 0.700 0.004
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#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 2 0.6902 0.38208 0.000 0.584 0.140 0.196 0.080
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 5 0.1670 0.85555 0.052 0.000 0.000 0.012 0.936
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 4 0.4636 0.45276 0.000 0.308 0.024 0.664 0.004
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 4 0.4675 0.41799 0.000 0.336 0.020 0.640 0.004
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 1 0.5962 0.55320 0.668 0.024 0.048 0.224 0.036
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.0162 0.73076 0.000 0.004 0.996 0.000 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.3209 0.62711 0.000 0.812 0.000 0.180 0.008
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.1648 0.68458 0.000 0.940 0.000 0.040 0.020
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.3550 0.53916 0.000 0.760 0.004 0.236 0.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.1168 0.69034 0.000 0.960 0.000 0.032 0.008
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 1 0.0162 0.96561 0.996 0.000 0.000 0.004 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.4956 0.26051 0.000 0.016 0.028 0.664 0.292
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 4 0.5307 -0.01446 0.000 0.040 0.444 0.512 0.004
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.4731 0.20543 0.000 0.528 0.000 0.456 0.016
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 3 0.4208 0.52408 0.000 0.020 0.728 0.248 0.004
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.0290 0.72889 0.000 0.000 0.992 0.000 0.008
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.4218 0.42757 0.000 0.660 0.008 0.332 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 5 0.1478 0.86758 0.064 0.000 0.000 0.000 0.936
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.4334 0.51046 0.000 0.080 0.764 0.156 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 4 0.5464 0.25880 0.000 0.068 0.332 0.596 0.004
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 5 0.1965 0.87960 0.096 0.000 0.000 0.000 0.904
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.4360 0.60600 0.000 0.752 0.000 0.184 0.064
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.2852 0.65386 0.000 0.828 0.000 0.172 0.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.4164 0.57717 0.000 0.120 0.784 0.096 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 5 0.1960 0.85402 0.048 0.000 0.004 0.020 0.928
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.0162 0.96561 0.996 0.000 0.000 0.004 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 5 0.3177 0.78673 0.208 0.000 0.000 0.000 0.792
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.0290 0.72889 0.000 0.000 0.992 0.000 0.008
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.3210 0.59935 0.000 0.788 0.000 0.212 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.4713 0.27192 0.000 0.544 0.000 0.440 0.016
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0324 0.72987 0.000 0.004 0.992 0.004 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.3635 0.48080 0.000 0.248 0.000 0.748 0.004
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 4 0.6245 0.39837 0.000 0.168 0.276 0.552 0.004
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.7059 0.19029 0.000 0.036 0.472 0.328 0.164
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.5159 0.34132 0.000 0.188 0.688 0.124 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 5 0.2127 0.87811 0.108 0.000 0.000 0.000 0.892
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0162 0.73076 0.000 0.004 0.996 0.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.4798 0.16426 0.000 0.512 0.004 0.472 0.012
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.3214 0.66053 0.000 0.844 0.000 0.120 0.036
#> 2798DEF8-A841-4068-B3FC-76D57605235A 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.4420 0.23206 0.000 0.000 0.548 0.004 0.448
#> E5D94733-7D43-4021-8F57-4426EF183682 5 0.4224 0.64199 0.040 0.000 0.216 0.000 0.744
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 5 0.1544 0.87031 0.068 0.000 0.000 0.000 0.932
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 1 0.0290 0.96221 0.992 0.000 0.000 0.000 0.008
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.3835 0.64645 0.000 0.836 0.048 0.080 0.036
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 5 0.2930 0.83142 0.164 0.000 0.000 0.004 0.832
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.3508 0.55851 0.000 0.748 0.000 0.252 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.4927 0.51277 0.000 0.652 0.000 0.296 0.052
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.1792 0.69261 0.000 0.916 0.000 0.084 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.2280 0.68523 0.000 0.880 0.000 0.120 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.4593 0.00236 0.000 0.512 0.004 0.480 0.004
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.2890 0.63607 0.000 0.836 0.004 0.160 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.4818 -0.08977 0.000 0.460 0.000 0.520 0.020
#> 0B400F91-2355-43AB-AA86-725C21352AB7 5 0.6456 0.17459 0.000 0.236 0.004 0.232 0.528
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.2278 0.68251 0.000 0.908 0.000 0.060 0.032
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0162 0.73076 0.000 0.004 0.996 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.1908 0.69299 0.000 0.908 0.000 0.092 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.6098 0.17665 0.000 0.112 0.384 0.500 0.004
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0162 0.73006 0.000 0.000 0.996 0.004 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.1608 0.69591 0.000 0.928 0.000 0.072 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.2966 0.64848 0.000 0.816 0.000 0.184 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.5811 0.08658 0.000 0.512 0.416 0.056 0.016
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.4504 0.34660 0.000 0.564 0.000 0.428 0.008
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 4 0.6263 -0.12799 0.000 0.440 0.028 0.460 0.072
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.6940 0.37064 0.000 0.328 0.252 0.412 0.008
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.2074 0.67609 0.000 0.896 0.000 0.104 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.5565 0.38026 0.000 0.092 0.244 0.652 0.012
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 4 0.5133 0.10948 0.000 0.024 0.384 0.580 0.012
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.3011 0.63678 0.000 0.844 0.000 0.140 0.016
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.5115 0.31935 0.000 0.040 0.264 0.676 0.020
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.5714 0.39314 0.580 0.008 0.004 0.344 0.064
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.3690 0.61194 0.000 0.000 0.780 0.200 0.020
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.0000 0.96717 1.000 0.000 0.000 0.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.4738 0.23169 0.000 0.520 0.000 0.464 0.016
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.4182 0.39739 0.000 0.644 0.004 0.352 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 5 0.1282 0.79586 0.000 0.000 0.004 0.044 0.952
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0162 0.96561 0.996 0.000 0.000 0.004 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.4179 0.52473 0.000 0.152 0.776 0.072 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.2482 0.68034 0.000 0.892 0.000 0.084 0.024
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.1914 0.68894 0.000 0.924 0.000 0.060 0.016
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 5 0.4268 0.35633 0.444 0.000 0.000 0.000 0.556
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0162 0.73076 0.000 0.004 0.996 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 1 0.0290 0.96369 0.992 0.000 0.000 0.008 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.2988 0.58483 0.144 0.828 0.000 0.028 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 5 0.0909 0.91594 0.020 0.000 0.000 0.000 0.968 0.012
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.2201 0.62013 0.028 0.896 0.000 0.076 0.000 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.0363 0.93239 0.000 0.000 0.000 0.000 0.988 0.012
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.5727 0.07398 0.192 0.500 0.000 0.308 0.000 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.2653 0.67910 0.012 0.000 0.844 0.144 0.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 4 0.5056 0.09078 0.004 0.064 0.424 0.508 0.000 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 5 0.0713 0.93484 0.000 0.000 0.000 0.000 0.972 0.028
#> C7A75027-D49D-4D60-93A8-588487B5D690 4 0.6031 -0.03916 0.280 0.296 0.000 0.424 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 1 0.6785 0.32662 0.504 0.140 0.120 0.236 0.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.0713 0.93484 0.000 0.000 0.000 0.000 0.972 0.028
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.2571 0.62317 0.064 0.876 0.000 0.060 0.000 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.6375 -0.12925 0.160 0.436 0.000 0.376 0.016 0.012
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0000 0.75079 0.000 0.000 1.000 0.000 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 5 0.0713 0.93484 0.000 0.000 0.000 0.000 0.972 0.028
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.4845 -0.14178 0.540 0.000 0.000 0.060 0.000 0.400
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.5023 0.35932 0.144 0.636 0.000 0.220 0.000 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.5320 -0.01692 0.352 0.532 0.000 0.116 0.000 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.3403 0.49522 0.212 0.768 0.000 0.020 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.4998 0.35086 0.356 0.580 0.000 0.048 0.000 0.016
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.3435 0.61654 0.136 0.804 0.000 0.060 0.000 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 5 0.0405 0.92483 0.008 0.000 0.000 0.000 0.988 0.004
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.1713 0.62703 0.028 0.928 0.000 0.044 0.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 6 0.1267 0.91241 0.000 0.000 0.000 0.000 0.060 0.940
#> 032E0758-7A5B-405B-88D3-74C527605780 5 0.0713 0.93484 0.000 0.000 0.000 0.000 0.972 0.028
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.2744 0.60077 0.072 0.864 0.000 0.064 0.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 6 0.3800 0.73778 0.176 0.020 0.000 0.028 0.000 0.776
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 4 0.3601 0.46943 0.068 0.016 0.100 0.816 0.000 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.3514 0.50243 0.228 0.752 0.000 0.020 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 1 0.4552 0.30068 0.720 0.044 0.000 0.200 0.000 0.036
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 5 0.0713 0.93484 0.000 0.000 0.000 0.000 0.972 0.028
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0000 0.75079 0.000 0.000 1.000 0.000 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.7023 0.07611 0.228 0.168 0.472 0.132 0.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.4348 0.25565 0.320 0.640 0.000 0.040 0.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.0713 0.93484 0.000 0.000 0.000 0.000 0.972 0.028
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.1812 0.62075 0.080 0.912 0.000 0.008 0.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0000 0.75079 0.000 0.000 1.000 0.000 0.000 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.5285 0.22471 0.112 0.536 0.000 0.352 0.000 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.3168 0.58678 0.000 0.172 0.804 0.024 0.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0260 0.74784 0.000 0.000 0.992 0.008 0.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 4 0.4146 0.45360 0.180 0.052 0.016 0.752 0.000 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.0713 0.93484 0.000 0.000 0.000 0.000 0.972 0.028
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.4648 -0.04271 0.408 0.548 0.000 0.044 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.4743 0.43025 0.548 0.400 0.000 0.052 0.000 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 6 0.1075 0.91558 0.000 0.000 0.000 0.000 0.048 0.952
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.0713 0.93484 0.000 0.000 0.000 0.000 0.972 0.028
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.3748 0.59817 0.108 0.784 0.000 0.108 0.000 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.5202 0.31142 0.388 0.540 0.000 0.052 0.000 0.020
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 4 0.5719 0.19832 0.168 0.372 0.000 0.460 0.000 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.4993 0.06941 0.360 0.560 0.000 0.080 0.000 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.4718 0.53269 0.188 0.696 0.000 0.108 0.000 0.008
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 6 0.3360 0.79591 0.148 0.000 0.012 0.020 0.004 0.816
#> FE2C169A-E41F-45EB-B61E-776493069D78 6 0.1141 0.91564 0.000 0.000 0.000 0.000 0.052 0.948
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.7237 0.09437 0.264 0.108 0.428 0.196 0.000 0.004
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0000 0.75079 0.000 0.000 1.000 0.000 0.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.0713 0.93484 0.000 0.000 0.000 0.000 0.972 0.028
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 5 0.0632 0.93362 0.000 0.000 0.000 0.000 0.976 0.024
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#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 5 0.1663 0.89102 0.000 0.000 0.000 0.000 0.912 0.088
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 5 0.3782 0.77487 0.144 0.004 0.000 0.040 0.796 0.016
#> D14A535D-5C31-4D78-8F92-3B50922211A2 5 0.0146 0.92765 0.000 0.000 0.000 0.000 0.996 0.004
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#> F8CC192C-D77E-41D8-806B-1519B1D10D04 6 0.1075 0.91491 0.000 0.000 0.000 0.000 0.048 0.952
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 5 0.1908 0.88960 0.044 0.000 0.000 0.020 0.924 0.012
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#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.4391 0.34423 0.188 0.004 0.000 0.720 0.000 0.088
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#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 6 0.1075 0.91558 0.000 0.000 0.000 0.000 0.048 0.952
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.5051 0.40665 0.324 0.604 0.000 0.048 0.000 0.024
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#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 4 0.3757 0.48132 0.136 0.084 0.000 0.780 0.000 0.000
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#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 1 0.5598 0.13269 0.588 0.036 0.316 0.040 0.000 0.020
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.5728 0.24161 0.108 0.256 0.596 0.040 0.000 0.000
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#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.0000 0.75079 0.000 0.000 1.000 0.000 0.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 5 0.0713 0.93484 0.000 0.000 0.000 0.000 0.972 0.028
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#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 5 0.0547 0.93389 0.000 0.000 0.000 0.000 0.980 0.020
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.4358 0.44148 0.196 0.712 0.000 0.092 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.4948 0.00545 0.512 0.436 0.000 0.040 0.000 0.012
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.2450 0.62557 0.116 0.868 0.000 0.016 0.000 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.2118 0.61110 0.104 0.888 0.000 0.008 0.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.5903 -0.20735 0.204 0.400 0.000 0.396 0.000 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.3873 0.53023 0.104 0.772 0.000 0.124 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 1 0.6178 0.16695 0.388 0.348 0.000 0.260 0.000 0.004
#> 0B400F91-2355-43AB-AA86-725C21352AB7 1 0.6531 0.17252 0.512 0.176 0.000 0.064 0.000 0.248
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.3817 0.58043 0.140 0.792 0.000 0.048 0.000 0.020
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0000 0.75079 0.000 0.000 1.000 0.000 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.2020 0.61107 0.096 0.896 0.000 0.008 0.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 5 0.0713 0.93484 0.000 0.000 0.000 0.000 0.972 0.028
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 4 0.3172 0.55857 0.000 0.076 0.092 0.832 0.000 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0000 0.75079 0.000 0.000 1.000 0.000 0.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.2985 0.60579 0.100 0.844 0.000 0.056 0.000 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.4771 0.48283 0.184 0.692 0.000 0.116 0.000 0.008
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.6260 -0.01353 0.092 0.416 0.440 0.044 0.000 0.008
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.6165 0.04596 0.300 0.416 0.000 0.280 0.000 0.004
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.3687 0.41469 0.820 0.112 0.012 0.032 0.000 0.024
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.3633 0.56050 0.004 0.148 0.056 0.792 0.000 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.3138 0.57508 0.108 0.832 0.000 0.060 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 4 0.2490 0.53872 0.032 0.028 0.044 0.896 0.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 1 0.6483 0.05792 0.392 0.028 0.208 0.372 0.000 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.3820 0.60698 0.072 0.780 0.000 0.144 0.000 0.004
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 4 0.5356 0.34562 0.288 0.016 0.076 0.612 0.000 0.008
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.5640 0.15953 0.584 0.016 0.000 0.080 0.304 0.016
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.5377 0.52790 0.168 0.000 0.616 0.208 0.000 0.008
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 5 0.0713 0.93484 0.000 0.000 0.000 0.000 0.972 0.028
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.4871 0.50101 0.580 0.348 0.000 0.072 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.5070 0.11488 0.328 0.576 0.000 0.096 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 6 0.3511 0.73915 0.216 0.000 0.000 0.024 0.000 0.760
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 5 0.0146 0.92765 0.000 0.000 0.000 0.000 0.996 0.004
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.4973 0.42742 0.036 0.212 0.684 0.068 0.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.4335 0.53175 0.156 0.744 0.000 0.088 0.000 0.012
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.2752 0.62010 0.096 0.864 0.000 0.036 0.000 0.004
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 6 0.3221 0.68294 0.000 0.000 0.000 0.000 0.264 0.736
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.0000 0.75079 0.000 0.000 1.000 0.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 5 0.1218 0.91040 0.028 0.000 0.000 0.004 0.956 0.012
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 17395 rows and 473 columns.
#> Top rows (1000, 2000, 3000, 4000, 5000) are extracted by 'ATC' method.
#> Subgroups are detected by 'pam' method.
#> Performed in total 1250 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_signatures"
#> [7] "consensus_heatmap" "dimension_reduction" "functional_enrichment"
#> [10] "get_anno_col" "get_anno" "get_classes"
#> [13] "get_consensus" "get_matrix" "get_membership"
#> [16] "get_param" "get_signatures" "get_stats"
#> [19] "is_best_k" "is_stable_k" "membership_heatmap"
#> [22] "ncol" "nrow" "plot_ecdf"
#> [25] "rownames" "select_partition_number" "show"
#> [28] "suggest_best_k" "test_to_known_factors"
collect_plots() function collects all the plots made from res for all k (number of partitions)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, lower PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.983 0.994 0.2925 0.710 0.710
#> 3 3 0.996 0.961 0.985 0.7194 0.746 0.653
#> 4 4 0.722 0.768 0.904 0.3881 0.805 0.610
#> 5 5 0.719 0.762 0.903 0.0234 0.979 0.930
#> 6 6 0.700 0.615 0.824 0.0878 0.884 0.628
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2
There is also optional best \(k\) = 2 that is worth to check.
Following shows the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall class
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.000 0.99515 0.000 1.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.000 0.99515 0.000 1.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.000 0.99515 0.000 1.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.000 0.98547 1.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.000 0.99515 0.000 1.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.000 0.99515 0.000 1.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.000 0.99515 0.000 1.000
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#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.000 0.99515 0.000 1.000
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#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.000 0.99515 0.000 1.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.000 0.99515 0.000 1.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.000 0.99515 0.000 1.000
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#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.000 0.99515 0.000 1.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 2 0.000 0.99515 0.000 1.000
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 2 0.000 0.99515 0.000 1.000
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.000 0.99515 0.000 1.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.000 0.99515 0.000 1.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.000 0.99515 0.000 1.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 2 0.000 0.99515 0.000 1.000
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.000 0.99515 0.000 1.000
#> 212CB113-E765-4146-AC8A-B34044E2A849 2 0.000 0.99515 0.000 1.000
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.000 0.98547 1.000 0.000
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.000 0.99515 0.000 1.000
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.000 0.99515 0.000 1.000
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.000 0.99515 0.000 1.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.000 0.99515 0.000 1.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.000 0.99515 0.000 1.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.000 0.99515 0.000 1.000
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.000 0.98547 1.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.000 0.99515 0.000 1.000
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 1 0.000 0.98547 1.000 0.000
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.000 0.99515 0.000 1.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.000 0.99515 0.000 1.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.000 0.99515 0.000 1.000
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.000 0.99515 0.000 1.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.000 0.99515 0.000 1.000
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.000 0.99515 0.000 1.000
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 2 0.000 0.99515 0.000 1.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 2 0.000 0.99515 0.000 1.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.000 0.99515 0.000 1.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.000 0.99515 0.000 1.000
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.000 0.99515 0.000 1.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.000 0.99515 0.000 1.000
#> 560C9030-5EF4-466E-9149-BFB8215A512A 2 0.000 0.99515 0.000 1.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.000 0.98547 1.000 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.000 0.99515 0.000 1.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.000 0.99515 0.000 1.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.000 0.98547 1.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.000 0.99515 0.000 1.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.000 0.99515 0.000 1.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.000 0.98547 1.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.000 0.99515 0.000 1.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.000 0.99515 0.000 1.000
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.000 0.99515 0.000 1.000
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.000 0.99515 0.000 1.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.000 0.99515 0.000 1.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 2 0.000 0.99515 0.000 1.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.000 0.99515 0.000 1.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.000 0.99515 0.000 1.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 2 0.000 0.99515 0.000 1.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.000 0.99515 0.000 1.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.000 0.99515 0.000 1.000
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.000 0.99515 0.000 1.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.000 0.99515 0.000 1.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 2 0.000 0.99515 0.000 1.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 2 0.000 0.99515 0.000 1.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 1 0.000 0.98547 1.000 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.000 0.99515 0.000 1.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 2 0.000 0.99515 0.000 1.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.000 0.99515 0.000 1.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.000 0.99515 0.000 1.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.000 0.98547 1.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 2 0.000 0.99515 0.000 1.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.000 0.99515 0.000 1.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.000 0.99515 0.000 1.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.000 0.99515 0.000 1.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.000 0.99515 0.000 1.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.000 0.99515 0.000 1.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 2 0.000 0.99515 0.000 1.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.000 0.98547 1.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.000 0.99515 0.000 1.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.000 0.99515 0.000 1.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.961 0.36662 0.384 0.616
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 2 0.000 0.99515 0.000 1.000
#> E5D94733-7D43-4021-8F57-4426EF183682 2 0.000 0.99515 0.000 1.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.000 0.99515 0.000 1.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.000 0.99515 0.000 1.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.000 0.99515 0.000 1.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.000 0.99515 0.000 1.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.000 0.98547 1.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.000 0.99515 0.000 1.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.000 0.99515 0.000 1.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.000 0.99515 0.000 1.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.000 0.99515 0.000 1.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.000 0.99515 0.000 1.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.000 0.99515 0.000 1.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.000 0.99515 0.000 1.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.000 0.99515 0.000 1.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.000 0.99515 0.000 1.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.000 0.99515 0.000 1.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.000 0.99515 0.000 1.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.000 0.98547 1.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.000 0.99515 0.000 1.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.000 0.99515 0.000 1.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.000 0.99515 0.000 1.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.000 0.99515 0.000 1.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.000 0.99515 0.000 1.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.000 0.99515 0.000 1.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.000 0.99515 0.000 1.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.000 0.99515 0.000 1.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.000 0.99515 0.000 1.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.000 0.99515 0.000 1.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.000 0.99515 0.000 1.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.000 0.99515 0.000 1.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.000 0.99515 0.000 1.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.000 0.99515 0.000 1.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.000 0.99515 0.000 1.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.000 0.98547 1.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.000 0.99515 0.000 1.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.000 0.99515 0.000 1.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.000 0.99515 0.000 1.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.808 0.66935 0.752 0.248
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.000 0.99515 0.000 1.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.000 0.99515 0.000 1.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.000 0.99515 0.000 1.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 1 0.000 0.98547 1.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.000 0.99515 0.000 1.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.000 0.99515 0.000 1.000
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.9866 0.000 1.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 3 0.0000 0.9635 0.000 0.000 1.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0000 0.9866 0.000 1.000 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.2066 0.9324 0.940 0.000 0.060
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0000 0.9866 0.000 1.000 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.0000 0.9866 0.000 1.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.0000 0.9866 0.000 1.000 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.9799 1.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.0000 0.9866 0.000 1.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.0000 0.9866 0.000 1.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.9799 1.000 0.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0000 0.9866 0.000 1.000 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.6309 -0.0141 0.000 0.504 0.496
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.0000 0.9866 0.000 1.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.2066 0.9324 0.940 0.000 0.060
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.0424 0.9789 0.000 0.992 0.008
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.0000 0.9866 0.000 1.000 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.0000 0.9866 0.000 1.000 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0000 0.9866 0.000 1.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0000 0.9866 0.000 1.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0000 0.9866 0.000 1.000 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.0000 0.9635 0.000 0.000 1.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0000 0.9866 0.000 1.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.0000 0.9635 0.000 0.000 1.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0000 0.9799 1.000 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0000 0.9866 0.000 1.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.3192 0.8651 0.000 0.888 0.112
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.0000 0.9866 0.000 1.000 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0000 0.9866 0.000 1.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.0000 0.9866 0.000 1.000 0.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 3 0.0000 0.9635 0.000 0.000 1.000
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.0000 0.9866 0.000 1.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.0000 0.9866 0.000 1.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0000 0.9866 0.000 1.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0000 0.9799 1.000 0.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0000 0.9866 0.000 1.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.0000 0.9866 0.000 1.000 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.0000 0.9866 0.000 1.000 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.0000 0.9866 0.000 1.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.0000 0.9866 0.000 1.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.0000 0.9866 0.000 1.000 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 3 0.0000 0.9635 0.000 0.000 1.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.0000 0.9866 0.000 1.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.0000 0.9866 0.000 1.000 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 3 0.0000 0.9635 0.000 0.000 1.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.0000 0.9799 1.000 0.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.0000 0.9866 0.000 1.000 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0000 0.9866 0.000 1.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.0000 0.9866 0.000 1.000 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.0000 0.9866 0.000 1.000 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.0000 0.9866 0.000 1.000 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.4452 0.7586 0.000 0.808 0.192
#> FE2C169A-E41F-45EB-B61E-776493069D78 3 0.0000 0.9635 0.000 0.000 1.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.0000 0.9866 0.000 1.000 0.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.0000 0.9866 0.000 1.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0000 0.9799 1.000 0.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 3 0.0000 0.9635 0.000 0.000 1.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.0000 0.9866 0.000 1.000 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.0000 0.9866 0.000 1.000 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.0000 0.9799 1.000 0.000 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 3 0.0000 0.9635 0.000 0.000 1.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.0000 0.9866 0.000 1.000 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 3 0.0000 0.9635 0.000 0.000 1.000
#> B40B9470-990D-4443-8484-17266E829557 2 0.0000 0.9866 0.000 1.000 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.0000 0.9799 1.000 0.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 3 0.0000 0.9635 0.000 0.000 1.000
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.0000 0.9866 0.000 1.000 0.000
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#> E36F2243-58F5-41A0-A673-DEAFE0267426 2 0.0000 0.9866 0.000 1.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0000 0.9799 1.000 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.0000 0.9866 0.000 1.000 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0000 0.9866 0.000 1.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.0000 0.9635 0.000 0.000 1.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.2261 0.8994 0.000 0.068 0.932
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.0000 0.9635 0.000 0.000 1.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 3 0.0000 0.9635 0.000 0.000 1.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.0000 0.9635 0.000 0.000 1.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.0000 0.9866 0.000 1.000 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 3 0.2066 0.9107 0.000 0.060 0.940
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0424 0.9741 0.992 0.000 0.008
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0000 0.9866 0.000 1.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0000 0.9866 0.000 1.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0000 0.9866 0.000 1.000 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0000 0.9866 0.000 1.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.5178 0.6521 0.000 0.744 0.256
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.9866 0.000 1.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.0000 0.9866 0.000 1.000 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.0000 0.9866 0.000 1.000 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.9866 0.000 1.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.0000 0.9866 0.000 1.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0000 0.9866 0.000 1.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0000 0.9799 1.000 0.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.0000 0.9866 0.000 1.000 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.5859 0.4684 0.000 0.656 0.344
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.0000 0.9866 0.000 1.000 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0000 0.9866 0.000 1.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.0000 0.9866 0.000 1.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.0000 0.9866 0.000 1.000 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.0000 0.9866 0.000 1.000 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.0000 0.9866 0.000 1.000 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.9866 0.000 1.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.0000 0.9866 0.000 1.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.0000 0.9866 0.000 1.000 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.0000 0.9866 0.000 1.000 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.0000 0.9866 0.000 1.000 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.4504 0.7525 0.000 0.804 0.196
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.6095 0.3437 0.000 0.608 0.392
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.0000 0.9799 1.000 0.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.0000 0.9866 0.000 1.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0000 0.9866 0.000 1.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.0000 0.9866 0.000 1.000 0.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 3 0.0000 0.9635 0.000 0.000 1.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.0000 0.9866 0.000 1.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.3116 0.8700 0.000 0.892 0.108
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.0000 0.9866 0.000 1.000 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 3 0.0000 0.9635 0.000 0.000 1.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.0000 0.9866 0.000 1.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 3 0.0000 0.9635 0.000 0.000 1.000
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 3 0.3444 0.7060 0.000 0.184 0.816 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.3444 0.7748 0.000 0.816 0.184 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.2149 0.9052 0.912 0.000 0.000 0.088
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0000 0.7804 0.000 1.000 0.000 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.9762 1.000 0.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 3 0.4955 0.1931 0.000 0.444 0.556 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.9762 1.000 0.000 0.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.3444 0.7748 0.000 0.816 0.184 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.7489 0.1706 0.000 0.184 0.452 0.364
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.4998 -0.1666 0.000 0.488 0.512 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.2149 0.9052 0.912 0.000 0.000 0.088
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.3444 0.7748 0.000 0.816 0.184 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.4605 0.4266 0.000 0.664 0.336 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.4585 0.4335 0.000 0.668 0.332 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0000 0.7804 0.000 1.000 0.000 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0000 0.7804 0.000 1.000 0.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0000 0.9762 1.000 0.000 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0000 0.7804 0.000 1.000 0.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 3 0.4898 0.3458 0.000 0.416 0.584 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.4998 -0.1666 0.000 0.488 0.512 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 3 0.3444 0.7060 0.000 0.184 0.816 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0000 0.9762 1.000 0.000 0.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0000 0.7804 0.000 1.000 0.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.3975 0.6294 0.000 0.760 0.240 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 3 0.3400 0.7100 0.000 0.180 0.820 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.4679 0.3917 0.000 0.648 0.352 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.0000 0.9762 1.000 0.000 0.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 3 0.3444 0.7060 0.000 0.184 0.816 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 3 0.3764 0.6853 0.000 0.216 0.784 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.3444 0.7748 0.000 0.816 0.184 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.0000 0.7804 0.000 1.000 0.000 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.3444 0.7748 0.000 0.816 0.184 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0000 0.9762 1.000 0.000 0.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.3444 0.7748 0.000 0.816 0.184 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.0000 0.7804 0.000 1.000 0.000 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.0000 0.9762 1.000 0.000 0.000 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.3311 0.7803 0.000 0.828 0.172 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> B40B9470-990D-4443-8484-17266E829557 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.0000 0.9762 1.000 0.000 0.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.0000 0.7804 0.000 1.000 0.000 0.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0000 0.7804 0.000 1.000 0.000 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.0000 0.7804 0.000 1.000 0.000 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0000 0.9762 1.000 0.000 0.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0000 0.7804 0.000 1.000 0.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 3 0.4998 0.1168 0.000 0.488 0.512 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.0000 0.9762 1.000 0.000 0.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.2973 0.7197 0.000 0.856 0.144 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 3 0.4817 0.4300 0.000 0.388 0.612 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.4998 -0.0842 0.000 0.512 0.488 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 1 0.2081 0.9087 0.916 0.000 0.000 0.084
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.3649 0.7623 0.000 0.796 0.204 0.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0000 0.9762 1.000 0.000 0.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.4996 0.2493 0.000 0.516 0.484 0.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.3444 0.7748 0.000 0.816 0.184 0.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.4843 0.4866 0.000 0.604 0.396 0.000
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.0000 0.7804 0.000 1.000 0.000 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.0336 0.8398 0.000 0.008 0.992 0.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.4855 0.1431 0.000 0.400 0.600 0.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> 2C2589E0-2055-43AC-8001-1643839F80D4 4 0.2255 0.9004 0.000 0.068 0.012 0.920
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.4998 -0.1666 0.000 0.488 0.512 0.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 4 0.2011 0.8935 0.000 0.080 0.000 0.920
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 3 0.3444 0.7060 0.000 0.184 0.816 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.1867 0.7686 0.000 0.928 0.072 0.000
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 1 0.0000 0.9762 1.000 0.000 0.000 0.000
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 4 0.0921 0.9387 0.000 0.000 0.028 0.972
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 3 0.4008 0.5596 0.000 0.244 0.756 0.000
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> A3AC663C-1578-4946-AED3-2FF9A739168E 2 0.4134 0.7085 0.000 0.740 0.260 0.000
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.0000 0.7804 0.000 1.000 0.000 0.000
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 3 0.3726 0.6157 0.000 0.212 0.788 0.000
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 4 0.2011 0.8954 0.000 0.000 0.080 0.920
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 2 0.4605 0.4266 0.000 0.664 0.336 0.000
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 2 0.3649 0.7623 0.000 0.796 0.204 0.000
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#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.4500 0.5066 0.000 0.000 0.684 0.316
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.2760 0.7584 0.000 0.128 0.872 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 3 0.3486 0.7031 0.000 0.188 0.812 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 3 0.4746 0.4673 0.000 0.368 0.632 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.7804 0.000 1.000 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 3 0.4761 0.2927 0.000 0.372 0.628 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 3 0.2973 0.7226 0.000 0.000 0.856 0.144
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.4730 0.4022 0.000 0.000 0.636 0.364
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.0000 0.9762 1.000 0.000 0.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 3 0.0817 0.8325 0.000 0.024 0.976 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0000 0.7804 0.000 1.000 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.2216 0.7749 0.000 0.092 0.908 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 3 0.0000 0.8435 0.000 0.000 1.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 3 0.4605 0.3559 0.000 0.336 0.664 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 4 0.0000 0.9580 0.000 0.000 0.000 1.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.4994 -0.1423 0.000 0.480 0.520 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 4 0.0000 0.9580 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
#> 72189C87-53DD-427E-B163-91E404577A7A 3 0.2966 0.7067 0.000 0.184 0.816 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.2966 0.7641 0.000 0.816 0.184 0.000 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.0000 0.9216 0.000 0.000 0.000 0.000 1.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0000 0.7597 0.000 1.000 0.000 0.000 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.9957 1.000 0.000 0.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 3 0.4268 0.1868 0.000 0.444 0.556 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.0000 0.9216 0.000 0.000 0.000 0.000 1.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.2966 0.7641 0.000 0.816 0.184 0.000 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.6461 0.1496 0.000 0.184 0.444 0.372 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.4305 -0.1748 0.000 0.488 0.512 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 5 0.0000 0.9216 0.000 0.000 0.000 0.000 1.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.2966 0.7641 0.000 0.816 0.184 0.000 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.3966 0.4284 0.000 0.664 0.336 0.000 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.3949 0.4353 0.000 0.668 0.332 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0000 0.7597 0.000 1.000 0.000 0.000 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0000 0.7597 0.000 1.000 0.000 0.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 5 0.0000 0.9216 0.000 0.000 0.000 0.000 1.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0000 0.7597 0.000 1.000 0.000 0.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 3 0.4219 0.3432 0.000 0.416 0.584 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.4305 -0.1748 0.000 0.488 0.512 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 3 0.2966 0.7067 0.000 0.184 0.816 0.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.0000 0.9216 0.000 0.000 0.000 0.000 1.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0000 0.7597 0.000 1.000 0.000 0.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.3424 0.6297 0.000 0.760 0.240 0.000 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 5 0.1121 0.8804 0.000 0.000 0.000 0.044 0.956
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 3 0.2929 0.7106 0.000 0.180 0.820 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.4030 0.3938 0.000 0.648 0.352 0.000 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.0000 0.9216 0.000 0.000 0.000 0.000 1.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 3 0.2966 0.7067 0.000 0.184 0.816 0.000 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 3 0.3242 0.6858 0.000 0.216 0.784 0.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.2966 0.7641 0.000 0.816 0.184 0.000 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.0000 0.7597 0.000 1.000 0.000 0.000 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.2966 0.7641 0.000 0.816 0.184 0.000 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0000 0.9957 1.000 0.000 0.000 0.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.2966 0.7641 0.000 0.816 0.184 0.000 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.0000 0.7597 0.000 1.000 0.000 0.000 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 5 0.0000 0.9216 0.000 0.000 0.000 0.000 1.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 5 0.0000 0.9216 0.000 0.000 0.000 0.000 1.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.2852 0.7676 0.000 0.828 0.172 0.000 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 5 0.0000 0.9216 0.000 0.000 0.000 0.000 1.000
#> B40B9470-990D-4443-8484-17266E829557 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.1410 0.9343 0.940 0.000 0.000 0.000 0.060
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.0000 0.7597 0.000 1.000 0.000 0.000 0.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0000 0.7597 0.000 1.000 0.000 0.000 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.0000 0.7597 0.000 1.000 0.000 0.000 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0000 0.9957 1.000 0.000 0.000 0.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0000 0.7597 0.000 1.000 0.000 0.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 4 0.3274 0.7078 0.000 0.000 0.000 0.780 0.220
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 3 0.4305 0.1118 0.000 0.488 0.512 0.000 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.0000 0.9957 1.000 0.000 0.000 0.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.2561 0.7019 0.000 0.856 0.144 0.000 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 3 0.4150 0.4278 0.000 0.388 0.612 0.000 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.4305 -0.0801 0.000 0.512 0.488 0.000 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 5 0.0000 0.9216 0.000 0.000 0.000 0.000 1.000
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.3143 0.7564 0.000 0.796 0.204 0.000 0.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0000 0.9957 1.000 0.000 0.000 0.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.4304 0.2567 0.000 0.516 0.484 0.000 0.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.2966 0.7641 0.000 0.816 0.184 0.000 0.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.4171 0.4910 0.000 0.604 0.396 0.000 0.000
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.0000 0.7597 0.000 1.000 0.000 0.000 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.0290 0.8402 0.000 0.008 0.992 0.000 0.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.4182 0.1337 0.000 0.400 0.600 0.000 0.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> 2C2589E0-2055-43AC-8001-1643839F80D4 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.4305 -0.1748 0.000 0.488 0.512 0.000 0.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 3 0.2966 0.7067 0.000 0.184 0.816 0.000 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 5 0.1851 0.8312 0.000 0.000 0.000 0.088 0.912
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.1608 0.7465 0.000 0.928 0.072 0.000 0.000
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 5 0.0000 0.9216 0.000 0.000 0.000 0.000 1.000
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 3 0.3452 0.5555 0.000 0.244 0.756 0.000 0.000
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 5 0.0000 0.9216 0.000 0.000 0.000 0.000 1.000
#> A3AC663C-1578-4946-AED3-2FF9A739168E 2 0.3561 0.7092 0.000 0.740 0.260 0.000 0.000
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.0000 0.7597 0.000 1.000 0.000 0.000 0.000
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 3 0.3210 0.6123 0.000 0.212 0.788 0.000 0.000
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 4 0.1671 0.8933 0.000 0.000 0.000 0.924 0.076
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 2 0.3966 0.4284 0.000 0.664 0.336 0.000 0.000
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 2 0.3143 0.7564 0.000 0.796 0.204 0.000 0.000
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 2 0.4161 0.2920 0.000 0.608 0.392 0.000 0.000
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 2 0.2966 0.7641 0.000 0.816 0.184 0.000 0.000
#> 5813BD59-3E38-4630-8735-F9F743F28160 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> 4ED692EB-E194-49D7-9222-6232051426E5 3 0.4219 0.1284 0.000 0.416 0.584 0.000 0.000
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> 64B33223-EB30-49ED-A3D8-5AC598845465 2 0.2966 0.7641 0.000 0.816 0.184 0.000 0.000
#> 21599029-B6C9-4385-B87C-FDB99F956118 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 3 0.2773 0.6857 0.000 0.164 0.836 0.000 0.000
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 2 0.4088 0.5476 0.000 0.632 0.368 0.000 0.000
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 3 0.2966 0.7067 0.000 0.184 0.816 0.000 0.000
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
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#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 3 0.4015 0.4948 0.000 0.348 0.652 0.000 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.4304 -0.1629 0.000 0.484 0.516 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.2852 0.7664 0.000 0.828 0.172 0.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0000 0.9957 1.000 0.000 0.000 0.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.4182 0.3481 0.000 0.000 0.600 0.400 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 3 0.2377 0.7585 0.000 0.128 0.872 0.000 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 3 0.3003 0.7037 0.000 0.188 0.812 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 3 0.4088 0.4658 0.000 0.368 0.632 0.000 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.7597 0.000 1.000 0.000 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 3 0.4101 0.2835 0.000 0.372 0.628 0.000 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 3 0.2561 0.7249 0.000 0.000 0.856 0.144 0.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.4273 0.2155 0.000 0.000 0.552 0.448 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 5 0.0000 0.9216 0.000 0.000 0.000 0.000 1.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 3 0.0703 0.8328 0.000 0.024 0.976 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0000 0.7597 0.000 1.000 0.000 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.1908 0.7739 0.000 0.092 0.908 0.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 3 0.0000 0.8439 0.000 0.000 1.000 0.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 3 0.3966 0.3490 0.000 0.336 0.664 0.000 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 5 0.2471 0.7730 0.000 0.000 0.000 0.136 0.864
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.4302 -0.1508 0.000 0.480 0.520 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 4 0.0000 0.9666 0.000 0.000 0.000 1.000 0.000
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.3351 0.528611 0.712 0.288 0.000 0.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 3 0.5833 0.064488 0.192 0.364 0.444 0.000 0.000 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 4 0.0000 0.909854 0.000 0.000 0.000 1.000 0.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.3684 0.299609 0.000 0.628 0.372 0.000 0.000 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 1 0.3351 0.591188 0.712 0.288 0.000 0.000 0.000 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 5 0.0000 0.995598 0.000 0.000 0.000 0.000 1.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.2527 0.306435 0.168 0.832 0.000 0.000 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 4 0.0000 0.909854 0.000 0.000 0.000 1.000 0.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 3 0.2910 0.464647 0.080 0.068 0.852 0.000 0.000 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.5364 0.148465 0.152 0.572 0.000 0.000 0.000 0.276
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.0260 0.473685 0.000 0.008 0.992 0.000 0.000 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 4 0.0000 0.909854 0.000 0.000 0.000 1.000 0.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.4664 0.250176 0.076 0.280 0.644 0.000 0.000 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 3 0.6104 -0.141533 0.348 0.288 0.364 0.000 0.000 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 3 0.6110 -0.152877 0.300 0.328 0.372 0.000 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 3 0.3860 -0.091092 0.000 0.472 0.528 0.000 0.000 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.3684 0.299609 0.000 0.628 0.372 0.000 0.000 0.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 6 0.1267 0.922189 0.000 0.060 0.000 0.000 0.000 0.940
#> 032E0758-7A5B-405B-88D3-74C527605780 4 0.0000 0.909854 0.000 0.000 0.000 1.000 0.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.3592 0.318936 0.000 0.656 0.344 0.000 0.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.4343 0.166756 0.380 0.592 0.028 0.000 0.000 0.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.0146 0.473853 0.000 0.004 0.996 0.000 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 1 0.3652 0.495854 0.672 0.324 0.004 0.000 0.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 4 0.0000 0.909854 0.000 0.000 0.000 1.000 0.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.3647 0.314656 0.000 0.640 0.360 0.000 0.000 0.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 1 0.3023 0.646508 0.768 0.000 0.232 0.000 0.000 0.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.4904 0.200723 0.120 0.644 0.236 0.000 0.000 0.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 1 0.3351 0.591188 0.712 0.288 0.000 0.000 0.000 0.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 1 0.3747 0.367809 0.604 0.000 0.396 0.000 0.000 0.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 4 0.2258 0.857424 0.000 0.060 0.000 0.896 0.000 0.044
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.2883 0.646470 0.788 0.212 0.000 0.000 0.000 0.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 3 0.5289 0.057746 0.140 0.280 0.580 0.000 0.000 0.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> F1E00B65-7148-441C-B752-A8F083957765 4 0.0000 0.909854 0.000 0.000 0.000 1.000 0.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 1 0.3371 0.587908 0.708 0.292 0.000 0.000 0.000 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.3969 0.471275 0.652 0.332 0.016 0.000 0.000 0.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 3 0.5548 0.173697 0.172 0.288 0.540 0.000 0.000 0.000
#> 9723BC03-C568-4F06-8912-484010C196D0 3 0.2664 0.361032 0.000 0.184 0.816 0.000 0.000 0.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 3 0.6038 0.012188 0.268 0.316 0.416 0.000 0.000 0.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 1 0.5789 0.324977 0.496 0.288 0.216 0.000 0.000 0.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.0000 0.995598 0.000 0.000 0.000 0.000 1.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> D58CE99E-A954-4555-AA01-6582C049B7ED 3 0.5002 0.150915 0.080 0.364 0.556 0.000 0.000 0.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 3 0.3862 -0.116886 0.000 0.476 0.524 0.000 0.000 0.000
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 4 0.0000 0.909854 0.000 0.000 0.000 1.000 0.000 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 4 0.1267 0.887288 0.000 0.060 0.000 0.940 0.000 0.000
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.6012 0.038630 0.240 0.396 0.364 0.000 0.000 0.000
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 4 0.1075 0.892775 0.000 0.048 0.000 0.952 0.000 0.000
#> B40B9470-990D-4443-8484-17266E829557 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 5 0.1267 0.933497 0.000 0.000 0.000 0.060 0.940 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 6 0.1267 0.922189 0.000 0.060 0.000 0.000 0.000 0.940
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.3737 0.274705 0.000 0.608 0.392 0.000 0.000 0.000
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.3833 0.186269 0.000 0.556 0.444 0.000 0.000 0.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.3684 0.299609 0.000 0.628 0.372 0.000 0.000 0.000
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 5 0.0000 0.995598 0.000 0.000 0.000 0.000 1.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.3578 0.319990 0.000 0.660 0.340 0.000 0.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 1 0.0363 0.818094 0.988 0.012 0.000 0.000 0.000 0.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 6 0.4121 0.653121 0.000 0.060 0.000 0.220 0.000 0.720
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.4301 0.226225 0.392 0.584 0.024 0.000 0.000 0.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 6 0.1267 0.922189 0.000 0.060 0.000 0.000 0.000 0.940
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 5 0.0000 0.995598 0.000 0.000 0.000 0.000 1.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.5230 0.284816 0.108 0.548 0.344 0.000 0.000 0.000
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.5198 0.102725 0.380 0.524 0.096 0.000 0.000 0.000
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.1910 0.327329 0.108 0.892 0.000 0.000 0.000 0.000
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 3 0.5425 0.201708 0.284 0.156 0.560 0.000 0.000 0.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 1 0.3351 0.591188 0.712 0.288 0.000 0.000 0.000 0.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 4 0.0000 0.909854 0.000 0.000 0.000 1.000 0.000 0.000
#> EB5CF362-6974-4137-AC92-2051B1594E13 3 0.5279 0.259716 0.200 0.196 0.604 0.000 0.000 0.000
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 5 0.0000 0.995598 0.000 0.000 0.000 0.000 1.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 3 0.2679 0.470143 0.096 0.040 0.864 0.000 0.000 0.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 3 0.2631 0.433732 0.000 0.180 0.820 0.000 0.000 0.000
#> CC8A362A-10CE-4051-97E9-193F0D42A342 3 0.0937 0.468219 0.000 0.040 0.960 0.000 0.000 0.000
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.3607 0.316464 0.000 0.652 0.348 0.000 0.000 0.000
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 3 0.5289 0.243891 0.136 0.288 0.576 0.000 0.000 0.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 3 0.2178 0.464813 0.132 0.000 0.868 0.000 0.000 0.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> 2C2589E0-2055-43AC-8001-1643839F80D4 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 3 0.0405 0.475534 0.008 0.004 0.988 0.000 0.000 0.000
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.3851 -0.168466 0.460 0.540 0.000 0.000 0.000 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 4 0.2897 0.811393 0.000 0.060 0.000 0.852 0.000 0.088
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.5386 0.250096 0.116 0.496 0.388 0.000 0.000 0.000
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 4 0.0000 0.909854 0.000 0.000 0.000 1.000 0.000 0.000
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 1 0.4511 0.324327 0.620 0.048 0.332 0.000 0.000 0.000
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 4 0.0632 0.902054 0.000 0.024 0.000 0.976 0.000 0.000
#> A3AC663C-1578-4946-AED3-2FF9A739168E 3 0.5807 0.117971 0.324 0.200 0.476 0.000 0.000 0.000
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 3 0.3860 -0.029502 0.000 0.472 0.528 0.000 0.000 0.000
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 3 0.4276 0.357983 0.104 0.168 0.728 0.000 0.000 0.000
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#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.4101 0.158019 0.408 0.012 0.580 0.000 0.000 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 1 0.1957 0.767063 0.888 0.112 0.000 0.000 0.000 0.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> D7791F51-5151-4E21-802F-F61EE07D626F 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 3 0.3515 0.172651 0.000 0.324 0.676 0.000 0.000 0.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 1 0.3248 0.681769 0.804 0.032 0.000 0.000 0.000 0.164
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 6 0.0363 0.943988 0.012 0.000 0.000 0.000 0.000 0.988
#> B0055BFB-D214-4C23-9366-7F909D7630FA 4 0.4569 0.547155 0.000 0.060 0.000 0.636 0.000 0.304
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.6075 0.066426 0.312 0.288 0.400 0.000 0.000 0.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.3531 0.324289 0.000 0.672 0.328 0.000 0.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.4824 0.263993 0.056 0.524 0.420 0.000 0.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 5 0.0000 0.995598 0.000 0.000 0.000 0.000 1.000 0.000
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0000 0.473867 0.000 0.000 1.000 0.000 0.000 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 1 0.3351 0.528611 0.712 0.288 0.000 0.000 0.000 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.0146 0.473853 0.000 0.004 0.996 0.000 0.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.3266 0.341203 0.000 0.272 0.728 0.000 0.000 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 5 0.0000 0.995598 0.000 0.000 0.000 0.000 1.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.5710 0.129262 0.512 0.288 0.200 0.000 0.000 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 1 0.0260 0.817699 0.992 0.008 0.000 0.000 0.000 0.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 6 0.0363 0.944439 0.012 0.000 0.000 0.000 0.000 0.988
#> E5D94733-7D43-4021-8F57-4426EF183682 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 1 0.3351 0.591188 0.712 0.288 0.000 0.000 0.000 0.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 4 0.0000 0.909854 0.000 0.000 0.000 1.000 0.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.3695 0.311333 0.000 0.624 0.376 0.000 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.0713 0.813037 0.972 0.028 0.000 0.000 0.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 3 0.5833 0.064488 0.192 0.364 0.444 0.000 0.000 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.3862 0.304598 0.004 0.608 0.388 0.000 0.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 1 0.5392 0.400003 0.584 0.224 0.000 0.000 0.000 0.192
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.1444 0.314713 0.000 0.928 0.072 0.000 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 1 0.5434 0.294550 0.576 0.232 0.192 0.000 0.000 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.0260 0.473685 0.000 0.008 0.992 0.000 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.6035 0.000349 0.248 0.380 0.372 0.000 0.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 5 0.0000 0.995598 0.000 0.000 0.000 0.000 1.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 1 0.6631 0.276451 0.484 0.116 0.096 0.000 0.000 0.304
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.4333 -0.190578 0.468 0.512 0.020 0.000 0.000 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.3782 0.362621 0.588 0.412 0.000 0.000 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 1 0.4445 0.546254 0.656 0.288 0.056 0.000 0.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 1 0.5572 0.216506 0.544 0.268 0.188 0.000 0.000 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 1 0.3175 0.631224 0.744 0.256 0.000 0.000 0.000 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.3659 0.313332 0.000 0.636 0.364 0.000 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.3982 -0.014991 0.460 0.536 0.004 0.000 0.000 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.2300 0.714591 0.856 0.000 0.000 0.000 0.000 0.144
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 1 0.3838 0.217054 0.552 0.000 0.000 0.000 0.000 0.448
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 4 0.0000 0.909854 0.000 0.000 0.000 1.000 0.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.0777 0.811020 0.972 0.024 0.004 0.000 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.3717 0.307137 0.000 0.616 0.384 0.000 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 6 0.1267 0.922189 0.000 0.060 0.000 0.000 0.000 0.940
#> 13138496-2362-49FA-9CBF-35EBB0843924 1 0.3607 0.499586 0.652 0.348 0.000 0.000 0.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.0000 0.820856 1.000 0.000 0.000 0.000 0.000 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.3672 0.186991 0.368 0.632 0.000 0.000 0.000 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 4 0.3435 0.751772 0.000 0.060 0.000 0.804 0.000 0.136
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.3351 0.329683 0.000 0.288 0.712 0.000 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 6 0.0000 0.954490 0.000 0.000 0.000 0.000 0.000 1.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17395 rows and 473 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 0.982 0.992 0.3317 0.671 0.671
#> 3 3 0.496 0.735 0.841 0.7068 0.719 0.598
#> 4 4 0.495 0.554 0.765 0.1322 0.823 0.636
#> 5 5 0.599 0.651 0.820 0.0904 0.852 0.625
#> 6 6 0.599 0.514 0.769 0.0919 0.906 0.710
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
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.993 0.000 1.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 1 0.0000 0.985 1.000 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0000 0.993 0.000 1.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.985 1.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.0000 0.993 0.000 1.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.0000 0.993 0.000 1.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.0000 0.993 0.000 1.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.985 1.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.0000 0.993 0.000 1.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.0000 0.993 0.000 1.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.985 1.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0000 0.993 0.000 1.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 1 0.0000 0.985 1.000 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.0000 0.993 0.000 1.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.0000 0.985 1.000 0.000
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.0000 0.993 0.000 1.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.0000 0.993 0.000 1.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.0000 0.993 0.000 1.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0000 0.993 0.000 1.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0000 0.993 0.000 1.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0000 0.993 0.000 1.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 1 0.0000 0.985 1.000 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0000 0.993 0.000 1.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 2 0.0672 0.988 0.008 0.992
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0000 0.985 1.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0000 0.993 0.000 1.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0672 0.988 0.008 0.992
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.0000 0.993 0.000 1.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0000 0.993 0.000 1.000
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.0000 0.993 0.000 1.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.7528 0.726 0.216 0.784
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.0000 0.993 0.000 1.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.0000 0.993 0.000 1.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0000 0.993 0.000 1.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.0000 0.985 1.000 0.000
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.0000 0.993 0.000 1.000
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.0000 0.993 0.000 1.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.0000 0.993 0.000 1.000
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.0000 0.993 0.000 1.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.0000 0.993 0.000 1.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.0000 0.993 0.000 1.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.0000 0.985 1.000 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.0000 0.993 0.000 1.000
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.0000 0.993 0.000 1.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.0672 0.988 0.008 0.992
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.0000 0.985 1.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.0000 0.993 0.000 1.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0000 0.993 0.000 1.000
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#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0000 0.993 0.000 1.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0000 0.993 0.000 1.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0000 0.993 0.000 1.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.0000 0.993 0.000 1.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.0000 0.993 0.000 1.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.0000 0.993 0.000 1.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.0672 0.988 0.008 0.992
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.993 0.000 1.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.0000 0.993 0.000 1.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0000 0.993 0.000 1.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0000 0.985 1.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.0000 0.993 0.000 1.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.0000 0.993 0.000 1.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.0000 0.993 0.000 1.000
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.0672 0.978 0.992 0.008
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.0000 0.993 0.000 1.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.0000 0.993 0.000 1.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.0000 0.993 0.000 1.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.0000 0.993 0.000 1.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.993 0.000 1.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.0000 0.993 0.000 1.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.0000 0.993 0.000 1.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.0000 0.993 0.000 1.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.0000 0.993 0.000 1.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.0000 0.993 0.000 1.000
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.0000 0.993 0.000 1.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.0000 0.985 1.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.0000 0.993 0.000 1.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0000 0.993 0.000 1.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.0672 0.988 0.008 0.992
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.0000 0.985 1.000 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.0000 0.993 0.000 1.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.0000 0.993 0.000 1.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.0000 0.993 0.000 1.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.0672 0.988 0.008 0.992
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.0000 0.993 0.000 1.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 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
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.8755 0.000 1.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 3 0.6819 0.0970 0.476 0.012 0.512
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.1163 0.8757 0.000 0.972 0.028
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.5431 0.6491 0.716 0.000 0.284
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.4121 0.8341 0.000 0.832 0.168
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.6126 0.0704 0.000 0.400 0.600
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.5216 0.7737 0.000 0.740 0.260
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.8285 1.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.2625 0.8669 0.000 0.916 0.084
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.3941 0.8396 0.000 0.844 0.156
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.2625 0.8204 0.916 0.000 0.084
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.1860 0.8730 0.000 0.948 0.052
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 3 0.7245 0.3690 0.368 0.036 0.596
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.2711 0.6697 0.000 0.088 0.912
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.5621 0.6058 0.692 0.000 0.308
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 3 0.5223 0.7011 0.024 0.176 0.800
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.4346 0.8251 0.000 0.816 0.184
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.4796 0.7458 0.000 0.780 0.220
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0237 0.8756 0.000 0.996 0.004
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.1163 0.8704 0.000 0.972 0.028
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.1163 0.8704 0.000 0.972 0.028
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 3 0.7263 0.3074 0.400 0.032 0.568
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0892 0.8728 0.000 0.980 0.020
#> 7194CC84-3897-4418-9695-66CC12CFE900 3 0.3983 0.7169 0.068 0.048 0.884
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.2261 0.8252 0.932 0.000 0.068
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.0000 0.8755 0.000 1.000 0.000
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 3 0.6676 0.1905 0.008 0.476 0.516
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.5988 0.6260 0.000 0.632 0.368
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.0237 0.8756 0.000 0.996 0.004
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.3116 0.8346 0.000 0.892 0.108
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 3 0.6039 0.7158 0.108 0.104 0.788
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.5397 0.7547 0.000 0.720 0.280
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.4452 0.8214 0.000 0.808 0.192
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.0000 0.8755 0.000 1.000 0.000
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.5058 0.6862 0.756 0.000 0.244
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.1031 0.8717 0.000 0.976 0.024
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.2711 0.6697 0.000 0.088 0.912
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.2066 0.8699 0.000 0.940 0.060
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.4605 0.8156 0.000 0.796 0.204
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.5016 0.7905 0.000 0.760 0.240
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.4654 0.8122 0.000 0.792 0.208
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 1 0.5591 0.6148 0.696 0.000 0.304
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.0747 0.8737 0.000 0.984 0.016
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.0747 0.8737 0.000 0.984 0.016
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 3 0.3983 0.7169 0.068 0.048 0.884
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.4002 0.7846 0.840 0.000 0.160
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.0000 0.8755 0.000 1.000 0.000
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.1289 0.8704 0.000 0.968 0.032
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.2448 0.8684 0.000 0.924 0.076
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.0892 0.8730 0.000 0.980 0.020
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.3816 0.7967 0.000 0.852 0.148
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.3983 0.7169 0.068 0.048 0.884
#> FE2C169A-E41F-45EB-B61E-776493069D78 3 0.3983 0.7169 0.068 0.048 0.884
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.4235 0.8301 0.000 0.824 0.176
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.2711 0.6697 0.000 0.088 0.912
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.0000 0.8285 1.000 0.000 0.000
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 3 0.5075 0.7214 0.068 0.096 0.836
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.2537 0.8737 0.000 0.920 0.080
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.0237 0.8760 0.000 0.996 0.004
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.4002 0.7846 0.840 0.000 0.160
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 1 0.5178 0.6871 0.744 0.000 0.256
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.1163 0.8704 0.000 0.972 0.028
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.5431 0.6479 0.716 0.000 0.284
#> B40B9470-990D-4443-8484-17266E829557 2 0.0000 0.8755 0.000 1.000 0.000
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.1529 0.8314 0.960 0.000 0.040
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 3 0.3983 0.7169 0.068 0.048 0.884
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.3116 0.8596 0.000 0.892 0.108
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.1163 0.8704 0.000 0.972 0.028
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.1163 0.8704 0.000 0.972 0.028
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.0000 0.8285 1.000 0.000 0.000
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 3 0.3983 0.7169 0.068 0.048 0.884
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0000 0.8755 0.000 1.000 0.000
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.2261 0.8582 0.000 0.932 0.068
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.3192 0.8544 0.000 0.888 0.112
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 2 0.5948 0.6444 0.000 0.640 0.360
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 3 0.6489 0.1753 0.456 0.004 0.540
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.1031 0.8717 0.000 0.976 0.024
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 3 0.7032 0.3172 0.368 0.028 0.604
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.0000 0.8285 1.000 0.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.1163 0.8704 0.000 0.972 0.028
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.1163 0.8704 0.000 0.972 0.028
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.0747 0.8759 0.000 0.984 0.016
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 2 0.5591 0.7268 0.000 0.696 0.304
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 2 0.4504 0.8188 0.000 0.804 0.196
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 1 0.4235 0.7721 0.824 0.000 0.176
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.4504 0.8195 0.000 0.804 0.196
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 2 0.1163 0.8704 0.000 0.972 0.028
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.0000 0.8285 1.000 0.000 0.000
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.5016 0.7922 0.000 0.760 0.240
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.4399 0.8238 0.000 0.812 0.188
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.4974 0.7950 0.000 0.764 0.236
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.0747 0.8737 0.000 0.984 0.016
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 2 0.5529 0.7374 0.000 0.704 0.296
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 2 0.4750 0.8082 0.000 0.784 0.216
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 3 0.6786 0.1997 0.448 0.012 0.540
#> 2C2589E0-2055-43AC-8001-1643839F80D4 3 0.6836 0.2769 0.412 0.016 0.572
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 2 0.3412 0.8532 0.000 0.876 0.124
#> 76E8BA25-3A2D-4017-B5A8-5E41EF7FDB96 3 0.5229 0.7219 0.068 0.104 0.828
#> 8F3DB7D9-B479-4CD6-B956-C949E17AB067 3 0.6779 0.2134 0.444 0.012 0.544
#> FB705D94-8CD9-43B7-AE3D-E1092E4EF523 2 0.3752 0.8430 0.000 0.856 0.144
#> AC051C9F-BA75-4514-96C4-1D84DFFE41CD 3 0.3742 0.6908 0.036 0.072 0.892
#> 58E28A78-A028-4BAE-B269-7234D8CD12B9 2 0.0000 0.8755 0.000 1.000 0.000
#> B9B1F724-8DD0-41FD-8966-B8872AEBA2E2 1 0.5902 0.5864 0.680 0.004 0.316
#> 9A13EC6E-D373-4E69-8931-B3360B8E6499 2 0.0592 0.8744 0.000 0.988 0.012
#> C0C24E5B-F2DE-4584-8F79-3FA6CEE09933 1 0.1031 0.8321 0.976 0.000 0.024
#> B8DCEAE9-762C-4A8F-B487-C8E56A28AD44 3 0.6424 0.7042 0.068 0.180 0.752
#> 80E2F9C7-E26A-4E5F-A2C7-631F5CCCFC58 2 0.1163 0.8704 0.000 0.972 0.028
#> 7CD23498-8C69-4073-9996-4E0509FE2AD5 2 0.1031 0.8717 0.000 0.976 0.024
#> F7509409-6FD5-4EF1-A3C6-3FF626F118E5 1 0.5650 0.5999 0.688 0.000 0.312
#> A3AC663C-1578-4946-AED3-2FF9A739168E 2 0.4346 0.8269 0.000 0.816 0.184
#> 59927B12-7AF1-433B-B41A-05AF54FCE24A 2 0.1753 0.8729 0.000 0.952 0.048
#> BEF8B87C-4473-441A-A840-0BD8F2F1BC9E 2 0.5291 0.7670 0.000 0.732 0.268
#> 70C3E789-2F91-44E1-9748-227EF3CB6971 3 0.3983 0.7169 0.068 0.048 0.884
#> C48ECB7F-87E3-4F82-9177-8DFCB66F6300 3 0.3983 0.7169 0.068 0.048 0.884
#> 91CADC76-57C8-4FB6-92DC-05888F82A4CE 2 0.1163 0.8704 0.000 0.972 0.028
#> 01820D8B-1780-4164-BCC4-15E77A42D17B 2 0.4974 0.7950 0.000 0.764 0.236
#> 1B9447B0-19C5-4F22-B2D9-A98BE34D193B 2 0.0424 0.8755 0.000 0.992 0.008
#> C4801F13-D84B-4903-99DF-9DCADDDA1492 2 0.1753 0.8762 0.000 0.952 0.048
#> 5813BD59-3E38-4630-8735-F9F743F28160 3 0.3554 0.6865 0.064 0.036 0.900
#> 4ED692EB-E194-49D7-9222-6232051426E5 2 0.0237 0.8756 0.000 0.996 0.004
#> 2D5E021E-B4D8-4A91-99C5-1F38240280D6 3 0.6779 0.2134 0.444 0.012 0.544
#> B0A1AE39-B875-4A11-B6CB-FE148AEB9A41 3 0.1411 0.6646 0.000 0.036 0.964
#> F7CA29F0-9B6A-4A07-ABEE-639538119D35 3 0.6295 0.7087 0.072 0.164 0.764
#> 64B33223-EB30-49ED-A3D8-5AC598845465 2 0.4504 0.8195 0.000 0.804 0.196
#> 21599029-B6C9-4385-B87C-FDB99F956118 3 0.3619 0.6525 0.000 0.136 0.864
#> A8574ACB-A9B6-4DE1-83E0-DB7E18F4F313 2 0.1860 0.8737 0.000 0.948 0.052
#> 204137FA-1BB3-4492-85C7-2D082A0CB372 2 0.4452 0.8214 0.000 0.808 0.192
#> 9654AC7E-5C21-4271-9B8A-4F83EEA570E1 2 0.1163 0.8704 0.000 0.972 0.028
#> 558A5582-4EFC-42DE-98C5-8609D15B2229 2 0.5708 0.7281 0.028 0.768 0.204
#> 399A518C-E02D-4B93-B24C-4255C4A807BB 2 0.0592 0.8760 0.000 0.988 0.012
#> 246B764A-9C95-4B08-A76B-51BBBF8B1DBA 3 0.4121 0.7067 0.084 0.040 0.876
#> 49F13594-2000-4B88-9CB7-7648C3FF7C22 2 0.4346 0.8251 0.000 0.816 0.184
#> 8902E88F-181A-46FE-9C80-F11C107B33E4 3 0.7328 0.3671 0.364 0.040 0.596
#> 24F2D373-AE15-47B0-8F1B-740426145C2C 2 0.1163 0.8704 0.000 0.972 0.028
#> A154A921-EB14-48DF-BF70-AE765CCE5CAB 3 0.6793 0.1868 0.452 0.012 0.536
#> D508AD79-2273-4E78-A6EE-97FBAAC7E851 2 0.3038 0.8349 0.000 0.896 0.104
#> 023D7F8E-5BD5-4AE8-8A7F-1851AA7F228A 2 0.4062 0.8351 0.000 0.836 0.164
#> 3BDE962B-6791-40BC-B3AA-C4D527FFEF22 3 0.3983 0.7169 0.068 0.048 0.884
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#> B19F8551-14F9-42F3-A2FD-BF748F222393 2 0.1529 0.8779 0.000 0.960 0.040
#> 1BCAB024-A978-4CC8-A411-FAC284F2018E 2 0.0892 0.8730 0.000 0.980 0.020
#> 75D212E1-0BF3-4282-826D-32EF7B2AC070 2 0.1163 0.8704 0.000 0.972 0.028
#> E7F262C2-69DE-4555-86B9-2151C7CF8A17 2 0.1031 0.8760 0.000 0.976 0.024
#> 10EC58F7-A6DC-4427-8FDE-D0AF12800DD6 3 0.3412 0.6547 0.000 0.124 0.876
#> 46D4C579-DE69-44A5-92B4-13329069FF45 2 0.1289 0.8685 0.000 0.968 0.032
#> 5FF6911C-D63C-4A6E-8E51-B116870FBE8C 1 0.0000 0.8285 1.000 0.000 0.000
#> 3BED1BB9-EC6D-4B6B-9B4B-268067DA1C21 2 0.1163 0.8773 0.000 0.972 0.028
#> C405814A-66E1-45E3-957D-0F32CFE30BFA 3 0.6183 0.6607 0.032 0.236 0.732
#> 799673ED-C935-4CE9-B8F3-14EE41C25BA1 1 0.0000 0.8285 1.000 0.000 0.000
#> 2A37A64F-C93B-42B6-95D5-744EEFD07FD1 1 0.3941 0.7871 0.844 0.000 0.156
#> FA84E86B-3DB8-4A3F-817A-140DE7568611 2 0.1411 0.8745 0.000 0.964 0.036
#> D22F5C7C-3BAF-496A-8D3A-FB4D5F853E90 2 0.3551 0.8488 0.000 0.868 0.132
#> 3F76F946-07A9-4C0B-BA36-9524068D785B 2 0.5431 0.7509 0.000 0.716 0.284
#> 3977EBDA-AD30-4AA0-AC75-E33086DC533D 2 0.1860 0.8715 0.000 0.948 0.052
#> 8D361255-E352-4248-9FDF-0A6602CB419D 2 0.3619 0.7998 0.000 0.864 0.136
#> 18AE7FAE-0B1E-4F52-BEC6-6158E61EB679 2 0.1163 0.8704 0.000 0.972 0.028
#> 5F005483-D289-4A3E-BD1E-0A4B3C655951 3 0.3983 0.7169 0.068 0.048 0.884
#> D3803F45-EB0C-4FAD-8C7B-F3755FBF496D 3 0.3482 0.6657 0.000 0.128 0.872
#> DF8D09B4-1F48-4D86-A379-1BB16E114CBE 2 0.0237 0.8760 0.000 0.996 0.004
#> 2A6CB7AD-79C2-4D43-8D97-61A4A6A79D3B 3 0.6786 0.1997 0.448 0.012 0.540
#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 2 0.5733 0.7009 0.000 0.676 0.324
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 1 0.5363 0.6611 0.724 0.000 0.276
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 2 0.1529 0.8690 0.000 0.960 0.040
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 2 0.4605 0.8156 0.000 0.796 0.204
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 2 0.5254 0.7705 0.000 0.736 0.264
#> 16D23472-C0CB-49F9-9139-77920C50235F 2 0.3816 0.8433 0.000 0.852 0.148
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 2 0.6309 0.1755 0.000 0.500 0.500
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.0000 0.8285 1.000 0.000 0.000
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 3 0.8743 0.4618 0.268 0.156 0.576
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.0000 0.8285 1.000 0.000 0.000
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 3 0.6527 0.7038 0.068 0.188 0.744
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 2 0.4654 0.8136 0.000 0.792 0.208
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 2 0.1163 0.8704 0.000 0.972 0.028
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 2 0.1031 0.8753 0.000 0.976 0.024
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 2 0.2165 0.8714 0.000 0.936 0.064
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 3 0.6093 0.7159 0.068 0.156 0.776
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 3 0.5216 0.6591 0.000 0.260 0.740
#> D14A535D-5C31-4D78-8F92-3B50922211A2 1 0.7250 0.3381 0.572 0.032 0.396
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.1163 0.8704 0.000 0.972 0.028
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.0000 0.8755 0.000 1.000 0.000
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 3 0.3530 0.6844 0.068 0.032 0.900
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 3 0.6859 0.2557 0.420 0.016 0.564
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.0000 0.8755 0.000 1.000 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 2 0.4796 0.8059 0.000 0.780 0.220
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 2 0.5058 0.7848 0.000 0.756 0.244
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.0000 0.8755 0.000 1.000 0.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.1163 0.8704 0.000 0.972 0.028
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.4062 0.8067 0.000 0.836 0.164
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 3 0.8241 0.6317 0.160 0.204 0.636
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.0592 0.8744 0.000 0.988 0.012
#> 212CB113-E765-4146-AC8A-B34044E2A849 2 0.3941 0.8389 0.000 0.844 0.156
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.1529 0.8314 0.960 0.000 0.040
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.1163 0.8704 0.000 0.972 0.028
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.1163 0.8755 0.000 0.972 0.028
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.0424 0.8755 0.000 0.992 0.008
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.0747 0.8737 0.000 0.984 0.016
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.4700 0.8288 0.008 0.812 0.180
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 3 0.6779 0.2134 0.444 0.012 0.544
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.0000 0.8285 1.000 0.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.5810 0.3359 0.000 0.664 0.336
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 3 0.3983 0.7169 0.068 0.048 0.884
#> B8A16628-2A0B-41AB-A057-82E2F855524D 3 0.4569 0.7200 0.068 0.072 0.860
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.1411 0.8747 0.000 0.964 0.036
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.1753 0.8729 0.000 0.952 0.048
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.0000 0.8755 0.000 1.000 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 3 0.6779 0.2134 0.444 0.012 0.544
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 3 0.7499 0.4166 0.360 0.048 0.592
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.5327 0.4982 0.000 0.272 0.728
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.8107 0.2808 0.068 0.424 0.508
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 3 0.6379 0.6312 0.032 0.256 0.712
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.7785 0.1554 0.052 0.528 0.420
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.0237 0.8756 0.000 0.996 0.004
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 3 0.5024 0.6660 0.004 0.220 0.776
#> 560C9030-5EF4-466E-9149-BFB8215A512A 2 0.5291 0.7666 0.000 0.732 0.268
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.0000 0.8285 1.000 0.000 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.1031 0.8717 0.000 0.976 0.024
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.1163 0.8704 0.000 0.972 0.028
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.0747 0.8312 0.984 0.000 0.016
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.1163 0.8756 0.000 0.972 0.028
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.0592 0.8745 0.000 0.988 0.012
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0000 0.8285 1.000 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 3 0.6303 0.5896 0.248 0.032 0.720
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.7542 0.1560 0.040 0.528 0.432
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.6295 0.2952 0.000 0.528 0.472
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.1031 0.8717 0.000 0.976 0.024
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.5327 0.7624 0.000 0.728 0.272
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.5859 0.2996 0.000 0.344 0.656
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.1860 0.8723 0.000 0.948 0.052
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 3 0.4830 0.6935 0.068 0.084 0.848
#> 62315297-B01F-4A7F-9C15-5B602099257F 2 0.4702 0.8107 0.000 0.788 0.212
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 3 0.6104 0.3339 0.004 0.348 0.648
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 3 0.3983 0.7169 0.068 0.048 0.884
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.3412 0.8138 0.000 0.876 0.124
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.1529 0.8740 0.000 0.960 0.040
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.6286 -0.1260 0.000 0.464 0.536
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.5058 0.7075 0.032 0.148 0.820
#> B0055BFB-D214-4C23-9366-7F909D7630FA 3 0.6489 0.1753 0.456 0.004 0.540
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 3 0.3983 0.7169 0.068 0.048 0.884
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.2796 0.6681 0.000 0.092 0.908
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.0424 0.8749 0.000 0.992 0.008
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.1163 0.8704 0.000 0.972 0.028
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.4062 0.7819 0.836 0.000 0.164
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 2 0.5058 0.7885 0.000 0.756 0.244
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.0424 0.8749 0.000 0.992 0.008
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.4504 0.8195 0.000 0.804 0.196
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.6295 0.1350 0.000 0.528 0.472
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.4654 0.8133 0.000 0.792 0.208
#> EFA48913-D0BD-4530-A445-C327A89CE956 3 0.3983 0.7169 0.068 0.048 0.884
#> E36F2243-58F5-41A0-A673-DEAFE0267426 2 0.5254 0.7705 0.000 0.736 0.264
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0000 0.8285 1.000 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.0424 0.8755 0.000 0.992 0.008
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.4346 0.7541 0.000 0.816 0.184
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.3983 0.7169 0.068 0.048 0.884
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.5291 0.5434 0.000 0.268 0.732
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.1860 0.6692 0.000 0.052 0.948
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 3 0.4914 0.7237 0.068 0.088 0.844
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 3 0.5075 0.7228 0.068 0.096 0.836
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.4887 0.6786 0.000 0.772 0.228
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 3 0.6476 0.7057 0.068 0.184 0.748
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.4178 0.7756 0.828 0.000 0.172
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0000 0.8755 0.000 1.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.1163 0.8704 0.000 0.972 0.028
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.1163 0.8704 0.000 0.972 0.028
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0000 0.8755 0.000 1.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.5810 0.5491 0.000 0.664 0.336
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.1031 0.8753 0.000 0.976 0.024
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.1163 0.8704 0.000 0.972 0.028
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.8076 0.0910 0.068 0.524 0.408
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.2356 0.8541 0.000 0.928 0.072
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.6305 0.3610 0.000 0.516 0.484
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.1031 0.8717 0.000 0.976 0.024
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0000 0.8285 1.000 0.000 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.4605 0.8156 0.000 0.796 0.204
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.6140 0.5630 0.000 0.596 0.404
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.2878 0.8622 0.000 0.904 0.096
#> B1F7AADF-8867-48D3-9116-854929420482 3 0.8297 0.3202 0.348 0.092 0.560
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.4974 0.7888 0.000 0.764 0.236
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.1163 0.8704 0.000 0.972 0.028
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.4178 0.7633 0.000 0.828 0.172
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.4452 0.8217 0.000 0.808 0.192
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0424 0.8749 0.000 0.992 0.008
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.4605 0.8144 0.000 0.796 0.204
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.6291 0.3360 0.000 0.532 0.468
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.0747 0.8738 0.000 0.984 0.016
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.4750 0.8074 0.000 0.784 0.216
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 3 0.5327 0.6524 0.000 0.272 0.728
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.5882 0.2625 0.000 0.348 0.652
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.1163 0.8322 0.972 0.000 0.028
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.0237 0.8753 0.000 0.996 0.004
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0000 0.8755 0.000 1.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 3 0.5229 0.7025 0.068 0.104 0.828
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.6255 0.5647 0.668 0.012 0.320
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.4504 0.8195 0.000 0.804 0.196
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.5397 0.4845 0.000 0.720 0.280
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.1163 0.8704 0.000 0.972 0.028
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 3 0.3983 0.7169 0.068 0.048 0.884
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.5465 0.7457 0.000 0.712 0.288
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 3 0.6793 0.1866 0.452 0.012 0.536
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.75238 0.000 1.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 4 0.7345 0.53610 0.184 0.000 0.308 0.508
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.1302 0.74763 0.000 0.956 0.044 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 4 0.7345 0.33740 0.348 0.000 0.168 0.484
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.4382 0.37913 0.000 0.704 0.296 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.5300 0.72500 0.000 0.308 0.664 0.028
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.5130 0.72141 0.000 0.332 0.652 0.016
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.83507 1.000 0.000 0.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.3907 0.55047 0.000 0.768 0.232 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.4522 0.37111 0.000 0.680 0.320 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.5628 0.70584 0.724 0.000 0.132 0.144
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#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 2 0.2593 0.70158 0.000 0.904 0.016 0.080
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 2 0.5158 -0.40735 0.000 0.524 0.472 0.004
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 3 0.5069 0.72443 0.000 0.320 0.664 0.016
#> 16D23472-C0CB-49F9-9139-77920C50235F 2 0.4948 -0.07978 0.000 0.560 0.440 0.000
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 3 0.7338 0.50398 0.000 0.404 0.440 0.156
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.0000 0.83507 1.000 0.000 0.000 0.000
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 4 0.9194 0.44153 0.104 0.184 0.304 0.408
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.0336 0.83629 0.992 0.000 0.008 0.000
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 4 0.7530 0.49976 0.004 0.168 0.356 0.472
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 3 0.5510 0.54075 0.000 0.480 0.504 0.016
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 2 0.0657 0.75054 0.000 0.984 0.012 0.004
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 2 0.3649 0.58957 0.000 0.796 0.204 0.000
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 2 0.1389 0.74460 0.000 0.952 0.048 0.000
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 4 0.6963 0.51429 0.004 0.096 0.436 0.464
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 4 0.7843 0.38020 0.008 0.300 0.220 0.472
#> D14A535D-5C31-4D78-8F92-3B50922211A2 4 0.7388 0.53125 0.192 0.000 0.304 0.504
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.0817 0.74119 0.000 0.976 0.000 0.024
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.0000 0.75238 0.000 1.000 0.000 0.000
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 4 0.2868 0.54970 0.000 0.000 0.136 0.864
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 4 0.7468 0.52120 0.204 0.000 0.304 0.492
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.0000 0.75238 0.000 1.000 0.000 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 3 0.5320 0.64972 0.000 0.416 0.572 0.012
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 3 0.6090 0.64427 0.000 0.384 0.564 0.052
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.0000 0.75238 0.000 1.000 0.000 0.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.0188 0.75336 0.000 0.996 0.004 0.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.6284 0.38743 0.000 0.664 0.164 0.172
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 4 0.8394 0.52489 0.064 0.132 0.332 0.472
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.0707 0.75252 0.000 0.980 0.020 0.000
#> 212CB113-E765-4146-AC8A-B34044E2A849 2 0.4643 0.30688 0.000 0.656 0.344 0.000
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.4610 0.77851 0.800 0.000 0.100 0.100
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.0188 0.75315 0.000 0.996 0.004 0.000
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.1557 0.74677 0.000 0.944 0.056 0.000
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.1557 0.74310 0.000 0.944 0.056 0.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.0188 0.75283 0.000 0.996 0.004 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.1388 0.75245 0.000 0.960 0.028 0.012
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 4 0.7388 0.53785 0.192 0.000 0.304 0.504
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.0000 0.83507 1.000 0.000 0.000 0.000
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.6757 0.26248 0.000 0.612 0.192 0.196
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 4 0.2216 0.56290 0.000 0.000 0.092 0.908
#> B8A16628-2A0B-41AB-A057-82E2F855524D 4 0.2578 0.58361 0.000 0.036 0.052 0.912
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.1302 0.74642 0.000 0.956 0.044 0.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.3486 0.60534 0.000 0.812 0.188 0.000
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.0000 0.75238 0.000 1.000 0.000 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 4 0.7329 0.54260 0.188 0.000 0.296 0.516
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 4 0.7315 0.54840 0.184 0.000 0.300 0.516
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.6346 0.59698 0.000 0.152 0.656 0.192
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 4 0.5003 0.38918 0.000 0.308 0.016 0.676
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 4 0.5040 0.28897 0.000 0.364 0.008 0.628
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.7734 -0.15983 0.032 0.492 0.364 0.112
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.3942 0.54912 0.000 0.764 0.236 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 3 0.7784 0.03958 0.000 0.336 0.412 0.252
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.5493 0.58872 0.000 0.456 0.528 0.016
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.0000 0.83507 1.000 0.000 0.000 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.0000 0.75238 0.000 1.000 0.000 0.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.1510 0.73315 0.000 0.956 0.016 0.028
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.1510 0.83446 0.956 0.000 0.028 0.016
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.3074 0.65548 0.000 0.848 0.152 0.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.0336 0.75060 0.000 0.992 0.000 0.008
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0000 0.83507 1.000 0.000 0.000 0.000
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 4 0.7069 0.57407 0.124 0.008 0.300 0.568
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.6794 0.01544 0.000 0.556 0.328 0.116
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.6602 -0.30318 0.000 0.484 0.436 0.080
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.0921 0.75171 0.000 0.972 0.028 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 3 0.5527 0.70786 0.000 0.356 0.616 0.028
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.5697 0.71543 0.000 0.280 0.664 0.056
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.2530 0.70235 0.000 0.888 0.112 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 4 0.2871 0.56688 0.000 0.072 0.032 0.896
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.5396 0.56617 0.000 0.464 0.524 0.012
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 3 0.7542 0.54577 0.004 0.348 0.476 0.172
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.2845 0.56600 0.000 0.028 0.076 0.896
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.2924 0.68164 0.000 0.884 0.016 0.100
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.1389 0.74470 0.000 0.952 0.048 0.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.6653 0.60834 0.000 0.356 0.548 0.096
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.7905 0.43030 0.000 0.332 0.364 0.304
#> B0055BFB-D214-4C23-9366-7F909D7630FA 4 0.7344 0.54521 0.188 0.000 0.300 0.512
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 4 0.2313 0.57397 0.000 0.044 0.032 0.924
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.5816 0.17472 0.000 0.036 0.572 0.392
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.0000 0.75238 0.000 1.000 0.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.0469 0.75361 0.000 0.988 0.012 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.5507 0.70653 0.732 0.000 0.112 0.156
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.5435 0.64441 0.000 0.420 0.564 0.016
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.1389 0.74811 0.000 0.952 0.048 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.5000 -0.46472 0.000 0.500 0.500 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.6391 0.22103 0.000 0.604 0.304 0.092
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.5000 0.47255 0.000 0.496 0.504 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 4 0.2345 0.56047 0.000 0.000 0.100 0.900
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.5453 0.72517 0.000 0.320 0.648 0.032
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0469 0.83636 0.988 0.000 0.012 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.1792 0.73646 0.000 0.932 0.068 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.4690 0.43105 0.000 0.724 0.016 0.260
#> 2798DEF8-A841-4068-B3FC-76D57605235A 4 0.4584 0.59898 0.004 0.000 0.300 0.696
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.6773 0.66045 0.000 0.348 0.544 0.108
#> E5D94733-7D43-4021-8F57-4426EF183682 4 0.5212 0.30619 0.000 0.008 0.420 0.572
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 4 0.4888 0.52826 0.000 0.124 0.096 0.780
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 4 0.5102 0.61050 0.000 0.048 0.220 0.732
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.5400 0.22273 0.000 0.608 0.020 0.372
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.7706 -0.33611 0.000 0.412 0.364 0.224
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.6883 0.45628 0.596 0.000 0.192 0.212
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0000 0.75238 0.000 1.000 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.1004 0.74858 0.000 0.972 0.024 0.004
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.1004 0.75097 0.000 0.972 0.024 0.004
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0000 0.75238 0.000 1.000 0.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.5452 0.22852 0.000 0.616 0.360 0.024
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.2921 0.67527 0.000 0.860 0.140 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.0524 0.75210 0.000 0.988 0.008 0.004
#> 0B400F91-2355-43AB-AA86-725C21352AB7 4 0.5339 0.29541 0.000 0.356 0.020 0.624
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.2861 0.68612 0.000 0.888 0.016 0.096
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.6525 0.67939 0.000 0.272 0.612 0.116
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0000 0.75238 0.000 1.000 0.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.0779 0.83676 0.980 0.000 0.016 0.004
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 3 0.4933 0.55596 0.000 0.432 0.568 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.5152 0.72482 0.000 0.316 0.664 0.020
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.1716 0.73580 0.000 0.936 0.064 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 4 0.9160 0.46972 0.136 0.144 0.284 0.436
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.5690 0.38299 0.000 0.708 0.196 0.096
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.0000 0.75238 0.000 1.000 0.000 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.5387 0.39755 0.000 0.696 0.048 0.256
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.5168 -0.34230 0.000 0.504 0.492 0.004
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.75238 0.000 1.000 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.5168 -0.33388 0.000 0.504 0.492 0.004
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.6491 0.48701 0.000 0.432 0.496 0.072
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.1297 0.75025 0.000 0.964 0.016 0.020
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.4776 0.67497 0.000 0.376 0.624 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.6949 -0.01710 0.000 0.528 0.348 0.124
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.5614 0.72359 0.000 0.304 0.652 0.044
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.4535 0.78561 0.804 0.000 0.112 0.084
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.0592 0.75369 0.000 0.984 0.016 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.0895 0.75414 0.000 0.976 0.020 0.004
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 4 0.3913 0.53821 0.000 0.148 0.028 0.824
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 4 0.7553 0.50747 0.216 0.000 0.308 0.476
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.4866 0.65373 0.000 0.404 0.596 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.5361 0.44585 0.000 0.744 0.108 0.148
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.1510 0.73597 0.000 0.956 0.016 0.028
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 4 0.1022 0.57656 0.000 0.000 0.032 0.968
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.5793 0.67823 0.000 0.384 0.580 0.036
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 4 0.7415 0.53449 0.196 0.000 0.304 0.500
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.0000 0.793858 0.000 1.000 0.000 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 5 0.0609 0.883729 0.020 0.000 0.000 0.000 0.980
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.1197 0.795356 0.000 0.952 0.048 0.000 0.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.1671 0.830267 0.076 0.000 0.000 0.000 0.924
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.4268 0.096443 0.000 0.556 0.444 0.000 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.1386 0.635094 0.000 0.016 0.952 0.032 0.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.1579 0.651463 0.000 0.032 0.944 0.024 0.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0912 0.805127 0.972 0.000 0.000 0.012 0.016
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.4306 -0.000428 0.000 0.508 0.492 0.000 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.4171 0.389713 0.000 0.604 0.396 0.000 0.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.3983 0.699895 0.660 0.000 0.000 0.000 0.340
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.1043 0.794344 0.000 0.960 0.040 0.000 0.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 5 0.5161 0.008228 0.004 0.432 0.032 0.000 0.532
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.5343 0.010695 0.000 0.012 0.592 0.356 0.040
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.4748 0.597117 0.596 0.000 0.004 0.016 0.384
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 4 0.7546 -0.118843 0.000 0.340 0.240 0.376 0.044
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.4249 0.106413 0.000 0.568 0.432 0.000 0.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.4232 0.555362 0.000 0.676 0.312 0.000 0.012
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.0290 0.796321 0.000 0.992 0.008 0.000 0.000
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.1012 0.795191 0.000 0.968 0.012 0.020 0.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0000 0.793858 0.000 1.000 0.000 0.000 0.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 5 0.0671 0.884246 0.016 0.000 0.004 0.000 0.980
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0162 0.794903 0.000 0.996 0.004 0.000 0.000
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#> 3F76F946-07A9-4C0B-BA36-9524068D785B 3 0.2278 0.665017 0.000 0.060 0.908 0.032 0.000
#> 3977EBDA-AD30-4AA0-AC75-E33086DC533D 2 0.2020 0.777315 0.000 0.900 0.100 0.000 0.000
#> 8D361255-E352-4248-9FDF-0A6602CB419D 2 0.4126 0.440593 0.000 0.620 0.380 0.000 0.000
#> 18AE7FAE-0B1E-4F52-BEC6-6158E61EB679 2 0.0609 0.797092 0.000 0.980 0.020 0.000 0.000
#> 5F005483-D289-4A3E-BD1E-0A4B3C655951 4 0.2754 0.828716 0.000 0.000 0.040 0.880 0.080
#> D3803F45-EB0C-4FAD-8C7B-F3755FBF496D 3 0.1772 0.616797 0.000 0.008 0.940 0.032 0.020
#> DF8D09B4-1F48-4D86-A379-1BB16E114CBE 2 0.2074 0.777487 0.000 0.896 0.104 0.000 0.000
#> 2A6CB7AD-79C2-4D43-8D97-61A4A6A79D3B 5 0.0609 0.884105 0.020 0.000 0.000 0.000 0.980
#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 3 0.3215 0.624801 0.000 0.056 0.852 0.092 0.000
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 5 0.0963 0.876091 0.036 0.000 0.000 0.000 0.964
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 2 0.1983 0.780918 0.000 0.924 0.008 0.060 0.008
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 3 0.3774 0.569906 0.000 0.296 0.704 0.000 0.000
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 3 0.1830 0.655268 0.000 0.040 0.932 0.028 0.000
#> 16D23472-C0CB-49F9-9139-77920C50235F 3 0.4088 0.412959 0.000 0.368 0.632 0.000 0.000
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 3 0.4524 0.451596 0.000 0.336 0.644 0.000 0.020
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.0912 0.805127 0.972 0.000 0.000 0.012 0.016
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 2 0.4802 0.200855 0.004 0.504 0.012 0.000 0.480
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.1697 0.810550 0.932 0.000 0.000 0.008 0.060
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 5 0.6246 0.144772 0.000 0.292 0.180 0.000 0.528
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 3 0.3318 0.658299 0.000 0.180 0.808 0.012 0.000
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 2 0.0404 0.794750 0.000 0.988 0.000 0.012 0.000
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 2 0.3932 0.522187 0.000 0.672 0.328 0.000 0.000
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 2 0.1043 0.788838 0.000 0.960 0.040 0.000 0.000
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 5 0.5215 0.367535 0.000 0.024 0.380 0.016 0.580
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 2 0.6414 0.355256 0.000 0.532 0.204 0.004 0.260
#> D14A535D-5C31-4D78-8F92-3B50922211A2 5 0.0703 0.882893 0.024 0.000 0.000 0.000 0.976
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.0703 0.793694 0.000 0.976 0.000 0.024 0.000
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.0290 0.795839 0.000 0.992 0.008 0.000 0.000
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 4 0.2580 0.823966 0.000 0.000 0.044 0.892 0.064
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 5 0.0609 0.884024 0.020 0.000 0.000 0.000 0.980
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.0000 0.793858 0.000 1.000 0.000 0.000 0.000
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 3 0.1965 0.676038 0.000 0.096 0.904 0.000 0.000
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 3 0.3366 0.635304 0.000 0.212 0.784 0.004 0.000
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.0510 0.796901 0.000 0.984 0.016 0.000 0.000
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.1121 0.794199 0.000 0.956 0.044 0.000 0.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.4873 0.620400 0.000 0.716 0.220 0.016 0.048
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 2 0.5915 0.258332 0.000 0.484 0.104 0.000 0.412
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.0510 0.797255 0.000 0.984 0.016 0.000 0.000
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.4201 0.329180 0.000 0.408 0.592 0.000 0.000
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.3534 0.760986 0.744 0.000 0.000 0.000 0.256
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.0703 0.793694 0.000 0.976 0.000 0.024 0.000
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.2377 0.760398 0.000 0.872 0.128 0.000 0.000
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.2127 0.775400 0.000 0.892 0.108 0.000 0.000
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.0510 0.796901 0.000 0.984 0.016 0.000 0.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.1386 0.791156 0.000 0.952 0.016 0.032 0.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 5 0.0609 0.884105 0.020 0.000 0.000 0.000 0.980
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.0912 0.805127 0.972 0.000 0.000 0.012 0.016
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.5872 0.457744 0.000 0.600 0.232 0.000 0.168
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 4 0.1956 0.833485 0.000 0.000 0.008 0.916 0.076
#> B8A16628-2A0B-41AB-A057-82E2F855524D 4 0.3342 0.811755 0.004 0.000 0.048 0.848 0.100
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.1197 0.785656 0.000 0.952 0.048 0.000 0.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.3612 0.608842 0.000 0.732 0.268 0.000 0.000
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.0963 0.795709 0.000 0.964 0.036 0.000 0.000
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 5 0.0566 0.883585 0.012 0.000 0.004 0.000 0.984
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 5 0.0703 0.870537 0.000 0.000 0.024 0.000 0.976
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.3779 0.395125 0.000 0.012 0.752 0.236 0.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 2 0.5828 0.345251 0.016 0.552 0.008 0.380 0.044
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.7367 0.294074 0.016 0.516 0.116 0.292 0.060
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.5314 0.266963 0.000 0.528 0.420 0.000 0.052
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 3 0.4306 0.082871 0.000 0.492 0.508 0.000 0.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.6294 0.314113 0.000 0.524 0.284 0.000 0.192
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.3182 0.665469 0.000 0.124 0.844 0.032 0.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.0912 0.805127 0.972 0.000 0.000 0.012 0.016
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.0000 0.793858 0.000 1.000 0.000 0.000 0.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.0992 0.792949 0.000 0.968 0.008 0.024 0.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.2179 0.805456 0.888 0.000 0.000 0.000 0.112
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.2424 0.762271 0.000 0.868 0.132 0.000 0.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.0865 0.795058 0.000 0.972 0.004 0.024 0.000
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.0912 0.805127 0.972 0.000 0.000 0.012 0.016
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 5 0.0798 0.866141 0.000 0.000 0.008 0.016 0.976
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.5042 0.148285 0.000 0.508 0.460 0.000 0.032
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 3 0.4135 0.442642 0.000 0.340 0.656 0.000 0.004
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.3210 0.676195 0.000 0.788 0.212 0.000 0.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 3 0.2616 0.665467 0.000 0.076 0.888 0.036 0.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.1725 0.637199 0.000 0.020 0.936 0.044 0.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.3210 0.691199 0.000 0.788 0.212 0.000 0.000
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 4 0.2395 0.827893 0.016 0.000 0.008 0.904 0.072
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.3326 0.667705 0.000 0.152 0.824 0.024 0.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 3 0.3628 0.631506 0.000 0.216 0.772 0.000 0.012
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.2331 0.834654 0.000 0.000 0.020 0.900 0.080
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.1770 0.785623 0.008 0.936 0.008 0.048 0.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.0963 0.794912 0.000 0.964 0.036 0.000 0.000
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.4313 0.386123 0.000 0.356 0.636 0.000 0.008
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.6445 0.550561 0.000 0.220 0.612 0.116 0.052
#> B0055BFB-D214-4C23-9366-7F909D7630FA 5 0.0566 0.881032 0.012 0.000 0.004 0.000 0.984
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 4 0.2395 0.827893 0.016 0.000 0.008 0.904 0.072
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.4507 0.138954 0.000 0.004 0.644 0.340 0.012
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.1121 0.794105 0.000 0.956 0.044 0.000 0.000
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.1851 0.778449 0.000 0.912 0.088 0.000 0.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.3932 0.710597 0.672 0.000 0.000 0.000 0.328
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.2932 0.669726 0.000 0.104 0.864 0.032 0.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.3003 0.702290 0.000 0.812 0.188 0.000 0.000
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 3 0.3508 0.629401 0.000 0.252 0.748 0.000 0.000
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.4829 -0.013982 0.000 0.484 0.496 0.000 0.020
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.3816 0.560501 0.000 0.304 0.696 0.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 4 0.2423 0.833894 0.000 0.000 0.024 0.896 0.080
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.2291 0.661305 0.000 0.056 0.908 0.036 0.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.1478 0.810286 0.936 0.000 0.000 0.000 0.064
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.3003 0.706625 0.000 0.812 0.188 0.000 0.000
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.3928 0.706534 0.012 0.820 0.012 0.128 0.028
#> 2798DEF8-A841-4068-B3FC-76D57605235A 4 0.4990 0.367714 0.000 0.000 0.040 0.600 0.360
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.1168 0.651320 0.000 0.032 0.960 0.000 0.008
#> E5D94733-7D43-4021-8F57-4426EF183682 4 0.5100 0.365630 0.000 0.000 0.448 0.516 0.036
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 4 0.3882 0.779478 0.000 0.016 0.100 0.824 0.060
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 4 0.5007 0.189235 0.004 0.004 0.016 0.536 0.440
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.5234 0.436783 0.016 0.608 0.012 0.352 0.012
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 3 0.5069 0.452784 0.000 0.328 0.620 0.000 0.052
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.4015 0.689040 0.652 0.000 0.000 0.000 0.348
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.2127 0.772463 0.000 0.892 0.108 0.000 0.000
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.1908 0.783615 0.000 0.908 0.092 0.000 0.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0162 0.793029 0.000 0.996 0.004 0.000 0.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.0000 0.793858 0.000 1.000 0.000 0.000 0.000
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.4574 0.369993 0.000 0.576 0.412 0.000 0.012
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.2732 0.740625 0.000 0.840 0.160 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.0880 0.798119 0.000 0.968 0.032 0.000 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 4 0.5705 0.426706 0.016 0.328 0.012 0.604 0.040
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.1442 0.790192 0.000 0.952 0.004 0.032 0.012
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.4453 0.440490 0.000 0.048 0.724 0.228 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0404 0.796620 0.000 0.988 0.012 0.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.1341 0.810402 0.944 0.000 0.000 0.000 0.056
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 3 0.3305 0.626520 0.000 0.224 0.776 0.000 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.1386 0.635094 0.000 0.016 0.952 0.032 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.1908 0.784115 0.000 0.908 0.092 0.000 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.5119 0.215400 0.004 0.504 0.028 0.000 0.464
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.3579 0.729319 0.000 0.828 0.072 0.100 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.0880 0.796264 0.000 0.968 0.032 0.000 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.6583 0.495969 0.008 0.624 0.172 0.152 0.044
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.4030 0.427629 0.000 0.352 0.648 0.000 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0510 0.796987 0.000 0.984 0.016 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 3 0.4045 0.438685 0.000 0.356 0.644 0.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.4045 0.420147 0.000 0.356 0.644 0.000 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.1211 0.795867 0.000 0.960 0.016 0.024 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.2891 0.675403 0.000 0.176 0.824 0.000 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.5302 0.280253 0.000 0.536 0.412 0.000 0.052
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.1885 0.632360 0.000 0.020 0.936 0.032 0.012
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.3774 0.735451 0.704 0.000 0.000 0.000 0.296
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.2852 0.724592 0.000 0.828 0.172 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.2179 0.767129 0.000 0.888 0.112 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 4 0.2555 0.827071 0.016 0.004 0.008 0.900 0.072
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 5 0.0703 0.882834 0.024 0.000 0.000 0.000 0.976
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.1478 0.672815 0.000 0.064 0.936 0.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.3937 0.577486 0.000 0.736 0.008 0.004 0.252
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.0898 0.796414 0.000 0.972 0.008 0.020 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 4 0.2110 0.830872 0.016 0.000 0.000 0.912 0.072
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.3389 0.649834 0.000 0.116 0.836 0.048 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 5 0.0671 0.884246 0.016 0.000 0.004 0.000 0.980
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 1 0.0260 0.55167 0.992 0.000 0.000 0.008 0.000 0.000
#> 27496AAB-AC06-4100-BB41-0029F63CC678 6 0.0000 0.86383 0.000 0.000 0.000 0.000 0.000 1.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 1 0.2491 0.46992 0.868 0.000 0.020 0.112 0.000 0.000
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#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 1 0.4596 0.40345 0.672 0.000 0.240 0.088 0.000 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 1 0.2070 0.56031 0.896 0.000 0.092 0.012 0.000 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 4 0.5865 -0.18648 0.200 0.360 0.000 0.440 0.000 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 1 0.3993 0.11240 0.520 0.004 0.000 0.476 0.000 0.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.3417 0.32999 0.000 0.160 0.796 0.044 0.000 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.0146 0.55102 0.996 0.000 0.000 0.004 0.000 0.000
#> F4142833-0749-44A4-B769-66262AA4A484 5 0.1141 0.82052 0.000 0.000 0.000 0.000 0.948 0.052
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 3 0.3979 0.65350 0.012 0.000 0.628 0.360 0.000 0.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.0547 0.55020 0.000 0.000 0.980 0.020 0.000 0.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 1 0.4332 0.08977 0.644 0.000 0.040 0.316 0.000 0.000
#> B1F7AADF-8867-48D3-9116-854929420482 1 0.4787 0.11697 0.516 0.000 0.000 0.052 0.000 0.432
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 4 0.4367 0.31282 0.228 0.016 0.044 0.712 0.000 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 1 0.1700 0.56335 0.916 0.000 0.080 0.004 0.000 0.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.6941 0.11957 0.484 0.164 0.124 0.228 0.000 0.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.4514 0.64895 0.040 0.000 0.588 0.372 0.000 0.000
#> 69B229BC-0964-48FC-9FBC-B9303C027981 1 0.0146 0.55102 0.996 0.000 0.000 0.004 0.000 0.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 3 0.4482 0.65126 0.040 0.000 0.600 0.360 0.000 0.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.4573 0.64660 0.044 0.000 0.584 0.372 0.000 0.000
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 1 0.3446 0.44181 0.692 0.000 0.000 0.308 0.000 0.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.4155 0.65377 0.020 0.000 0.616 0.364 0.000 0.000
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.4921 0.23952 0.508 0.000 0.436 0.052 0.000 0.004
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.0547 0.54862 0.000 0.000 0.980 0.020 0.000 0.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 5 0.2300 0.80184 0.000 0.000 0.000 0.000 0.856 0.144
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.3404 0.49439 0.760 0.000 0.224 0.016 0.000 0.000
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.4368 0.41416 0.672 0.000 0.272 0.056 0.000 0.000
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.3409 0.77448 0.028 0.780 0.000 0.192 0.000 0.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 6 0.0000 0.86383 0.000 0.000 0.000 0.000 0.000 1.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.3742 0.65479 0.004 0.000 0.648 0.348 0.000 0.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 1 0.3500 0.39514 0.768 0.000 0.000 0.028 0.000 0.204
#> 44A16F74-F823-4B27-AC3B-52526426199B 1 0.3748 0.41655 0.688 0.000 0.012 0.300 0.000 0.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.1610 0.84478 0.000 0.916 0.000 0.084 0.000 0.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.1194 0.53714 0.004 0.008 0.956 0.032 0.000 0.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 6 0.0000 0.86383 0.000 0.000 0.000 0.000 0.000 1.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
consensus_heatmap(res, k = 5)
consensus_heatmap(res, k = 6)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
membership_heatmap(res, k = 5)
membership_heatmap(res, k = 6)
As soon as we have had the classes for columns, we can look for signatures which are significantly different between classes which can be candidate marks for certain classes. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
get_signatures(res, k = 2)
get_signatures(res, k = 3)
get_signatures(res, k = 4)
get_signatures(res, k = 5)
get_signatures(res, k = 6)
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
get_signatures(res, k = 5, scale_rows = FALSE)
get_signatures(res, k = 6, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. TO get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows.UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
dimension_reduction(res, k = 5, method = "UMAP")
dimension_reduction(res, k = 6, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
The object with results only for a single top-value method and a single partition method can be extracted as:
res = res_list["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 17395 rows and 473 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 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 0.555 0.792 0.901 0.2885 0.794 0.794
#> 3 3 0.236 0.518 0.719 1.0107 0.621 0.528
#> 4 4 0.400 0.597 0.748 0.2361 0.723 0.443
#> 5 5 0.500 0.568 0.719 0.0963 0.819 0.464
#> 6 6 0.533 0.427 0.626 0.0488 0.857 0.462
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
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.2778 0.860 0.048 0.952
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.9710 0.488 0.400 0.600
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.0000 0.884 0.000 1.000
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.0000 0.854 1.000 0.000
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.5059 0.816 0.112 0.888
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 2 0.0000 0.884 0.000 1.000
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 2 0.0000 0.884 0.000 1.000
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.0000 0.854 1.000 0.000
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.3879 0.843 0.076 0.924
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 2 0.0000 0.884 0.000 1.000
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 1 0.0000 0.854 1.000 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.0000 0.884 0.000 1.000
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.9710 0.488 0.400 0.600
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 2 0.0000 0.884 0.000 1.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.9358 0.597 0.648 0.352
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 2 0.0000 0.884 0.000 1.000
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 2 0.0000 0.884 0.000 1.000
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.9710 0.488 0.400 0.600
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.9686 0.495 0.396 0.604
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.0000 0.884 0.000 1.000
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.0000 0.884 0.000 1.000
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.9710 0.488 0.400 0.600
#> C42C8456-82F9-433C-82BA-F1284CDC425C 2 0.0000 0.884 0.000 1.000
#> 7194CC84-3897-4418-9695-66CC12CFE900 2 0.0000 0.884 0.000 1.000
#> 032E0758-7A5B-405B-88D3-74C527605780 1 0.0000 0.854 1.000 0.000
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.1843 0.871 0.028 0.972
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.0000 0.884 0.000 1.000
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 2 0.0000 0.884 0.000 1.000
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.9710 0.488 0.400 0.600
#> D48A0C08-C253-49EA-9083-DCA68541072B 2 0.0000 0.884 0.000 1.000
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 2 0.9635 0.507 0.388 0.612
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 2 0.0000 0.884 0.000 1.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 2 0.0000 0.884 0.000 1.000
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.9170 0.589 0.332 0.668
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.6148 0.785 0.848 0.152
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.3274 0.853 0.060 0.940
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 2 0.0000 0.884 0.000 1.000
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.4431 0.831 0.092 0.908
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.0000 0.884 0.000 1.000
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 2 0.0000 0.884 0.000 1.000
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 2 0.2043 0.869 0.032 0.968
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 2 0.9710 0.488 0.400 0.600
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.2423 0.865 0.040 0.960
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.0000 0.884 0.000 1.000
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 2 0.0000 0.884 0.000 1.000
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.0000 0.854 1.000 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.9552 0.526 0.376 0.624
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 2 0.0000 0.884 0.000 1.000
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 2 0.0000 0.884 0.000 1.000
#> 9723BC03-C568-4F06-8912-484010C196D0 2 0.0000 0.884 0.000 1.000
#> F8FF0B4E-0868-417C-9118-F484437E57DA 2 0.0000 0.884 0.000 1.000
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 2 0.0000 0.884 0.000 1.000
#> FE2C169A-E41F-45EB-B61E-776493069D78 2 0.0000 0.884 0.000 1.000
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 2 0.0000 0.884 0.000 1.000
#> 613A3C1F-286A-44DB-8333-70B84680F882 2 0.0000 0.884 0.000 1.000
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 1 0.9710 0.526 0.600 0.400
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 2 0.8861 0.624 0.304 0.696
#> D58CE99E-A954-4555-AA01-6582C049B7ED 2 0.0000 0.884 0.000 1.000
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.8661 0.645 0.288 0.712
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 1 0.0000 0.854 1.000 0.000
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 2 1.0000 0.234 0.500 0.500
#> E7259704-4CD5-458C-B9ED-18FCAE9D3A0D 2 0.2603 0.863 0.044 0.956
#> 5083A1DE-CBB7-45FF-9183-756CEE1324CF 1 0.7056 0.655 0.808 0.192
#> B40B9470-990D-4443-8484-17266E829557 2 0.9635 0.508 0.388 0.612
#> 5381ED12-2ADC-4BBF-993B-65BDEC510BB4 1 0.0000 0.854 1.000 0.000
#> 0016BA70-3E44-4705-90C9-2C4430925BF3 2 0.0000 0.884 0.000 1.000
#> EAB0B66A-5C1C-4CE5-AAE5-34D7CFD376C3 2 0.5408 0.807 0.124 0.876
#> 4C5A24E1-F7DC-4F0D-95CF-D98051324FE7 2 0.0000 0.884 0.000 1.000
#> 198E333B-E2D0-4304-9529-5670DC4ED5CC 2 0.1414 0.876 0.020 0.980
#> F013B97F-C970-4B2F-8EE0-C093A5780BE5 1 0.4022 0.823 0.920 0.080
#> AA37085E-E6D7-4376-A2FA-1C53A062F315 2 0.0000 0.884 0.000 1.000
#> 5F0A2C59-52F3-40AC-AE5D-941D1B53B48F 2 0.0376 0.883 0.004 0.996
#> 523D87E2-2EE3-451B-BFE9-492866A4D541 2 0.6247 0.781 0.156 0.844
#> 443FCB8F-60ED-4A40-BAA6-7CF7388A4D91 2 0.0000 0.884 0.000 1.000
#> C4E61501-D0B7-47C3-927C-7A4B4778E3AD 2 0.0000 0.884 0.000 1.000
#> 65EF08AB-D276-4EC8-8FEB-E1CE6FC79469 2 0.9710 0.488 0.400 0.600
#> DCE8AC82-81FB-43FB-A6FF-1D3DE2B802C7 2 0.0000 0.884 0.000 1.000
#> 962C5EC9-9420-44D1-AF14-3ECBABC35956 2 0.9710 0.488 0.400 0.600
#> 42E697DB-2082-4079-B7E9-D2F00C6F3C7A 1 0.0000 0.854 1.000 0.000
#> 12B37C6C-03BB-4632-901E-524A46955B98 2 0.0938 0.879 0.012 0.988
#> B308794B-BB34-43C7-AC89-C5230E782F0A 2 0.5946 0.790 0.144 0.856
#> F88C9524-FAE4-4BE5-9F51-3FB9F158D920 2 0.9661 0.501 0.392 0.608
#> 550AAD0A-4E79-4E7A-8130-B453FD21000D 2 0.0000 0.884 0.000 1.000
#> BADD583F-A603-4A3B-A9E7-9D6D5FD87569 2 0.0000 0.884 0.000 1.000
#> 778BE1C7-AA04-4380-AB3B-37B52418E8F4 1 0.2043 0.834 0.968 0.032
#> EB5CF362-6974-4137-AC92-2051B1594E13 2 0.1414 0.876 0.020 0.980
#> E7A0A5B4-32F6-44F4-9E21-610B585F845C 2 0.0000 0.884 0.000 1.000
#> 754CC35E-469A-4BA3-9DB9-8254ABF73F1D 1 0.1843 0.845 0.972 0.028
#> 98FD47F4-BF48-4FB2-AEC9-E82A6775258A 2 0.0000 0.884 0.000 1.000
#> 06E0695C-8E5C-45E7-A4CE-B1CE9D245533 2 0.0938 0.880 0.012 0.988
#> CC8A362A-10CE-4051-97E9-193F0D42A342 2 0.0000 0.884 0.000 1.000
#> 77744579-17ED-499B-92FD-089789C44F8A 2 0.2423 0.865 0.040 0.960
#> BB48C8D2-47F2-4C75-ACD9-73B763F6F37D 2 0.0000 0.884 0.000 1.000
#> C0CD4BF6-815A-40A6-8B52-FFABD5B73B09 2 0.0000 0.884 0.000 1.000
#> 3EF5BEDD-1EA7-4A47-AFF1-F461483DFCD7 2 0.9710 0.488 0.400 0.600
#> 2C2589E0-2055-43AC-8001-1643839F80D4 2 0.9710 0.488 0.400 0.600
#> C1F7230F-1152-4438-ADB3-7A3BA3BBCFBC 2 0.0000 0.884 0.000 1.000
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#> CF634FAE-42FF-4911-A3A6-588566B11C07 2 0.9710 0.488 0.400 0.600
#> F95EAF76-5F27-4515-A2A7-479FB0A274C9 2 0.0000 0.884 0.000 1.000
#> 51262CCC-D371-4A6C-AC09-311EDB03E95E 1 0.7219 0.755 0.800 0.200
#> EBC2CF84-9B95-402D-A56A-BF96A602D73A 2 0.0000 0.884 0.000 1.000
#> FDFEA1AB-25BC-401E-ACE4-98EDCDD38BDD 2 0.9580 0.520 0.380 0.620
#> D1F3E911-0F7C-48F7-B797-D234FB6A8779 2 0.0000 0.884 0.000 1.000
#> DD3D869A-20B4-41EA-991F-79A38CC04D50 2 0.9710 0.488 0.400 0.600
#> 8E120FEB-9BED-415F-8885-6D185294E788 2 0.9710 0.488 0.400 0.600
#> C138DA45-07C9-42F8-94B8-3E78175EC2A0 2 0.9393 0.556 0.356 0.644
#> CE136B25-E9F6-4BA6-A5D1-D98508339CC4 1 0.9491 0.574 0.632 0.368
#> E242825F-AA2B-4E39-90CE-FCCA8E4E4837 2 0.3431 0.851 0.064 0.936
#> 3052340A-ADD5-4A43-A322-49589436B012 1 0.0000 0.854 1.000 0.000
#> F28F22C6-A172-4863-AE0C-6DBDB995E593 2 0.9710 0.488 0.400 0.600
#> CD65856B-D10C-49AE-A5D3-AB9A717D97E5 2 0.6887 0.756 0.184 0.816
#> B308651C-92E6-4860-AF65-FA6D9D908F7B 2 0.0000 0.884 0.000 1.000
#> D66B3821-4F39-4FDD-8FB7-5420FF822AF9 2 0.9710 0.488 0.400 0.600
#> BB938CB4-65C7-484A-B3A9-D345289DFA68 2 0.9710 0.488 0.400 0.600
#> 68A4643D-0822-4088-901A-6EE88E3C39E7 2 0.0000 0.884 0.000 1.000
#> 5FC3D2CA-E325-48FA-9171-DC8054CCCD26 1 0.0000 0.854 1.000 0.000
#> 92ABF549-0786-47D2-8355-5C16C090304A 2 0.0000 0.884 0.000 1.000
#> 709EEE82-EC92-4FD6-81DE-8AAB11EDFC7C 2 0.0000 0.884 0.000 1.000
#> E9BAF502-4144-4D13-8ED9-81F808A6B966 2 0.0000 0.884 0.000 1.000
#> B19F8551-14F9-42F3-A2FD-BF748F222393 2 0.0000 0.884 0.000 1.000
#> 1BCAB024-A978-4CC8-A411-FAC284F2018E 2 0.0000 0.884 0.000 1.000
#> 75D212E1-0BF3-4282-826D-32EF7B2AC070 2 0.0000 0.884 0.000 1.000
#> E7F262C2-69DE-4555-86B9-2151C7CF8A17 2 0.0000 0.884 0.000 1.000
#> 10EC58F7-A6DC-4427-8FDE-D0AF12800DD6 2 0.0000 0.884 0.000 1.000
#> 46D4C579-DE69-44A5-92B4-13329069FF45 2 0.0000 0.884 0.000 1.000
#> 5FF6911C-D63C-4A6E-8E51-B116870FBE8C 1 0.7219 0.755 0.800 0.200
#> 3BED1BB9-EC6D-4B6B-9B4B-268067DA1C21 2 0.0000 0.884 0.000 1.000
#> C405814A-66E1-45E3-957D-0F32CFE30BFA 2 0.4562 0.829 0.096 0.904
#> 799673ED-C935-4CE9-B8F3-14EE41C25BA1 1 0.0000 0.854 1.000 0.000
#> 2A37A64F-C93B-42B6-95D5-744EEFD07FD1 1 0.0000 0.854 1.000 0.000
#> FA84E86B-3DB8-4A3F-817A-140DE7568611 2 0.0000 0.884 0.000 1.000
#> D22F5C7C-3BAF-496A-8D3A-FB4D5F853E90 2 0.0000 0.884 0.000 1.000
#> 3F76F946-07A9-4C0B-BA36-9524068D785B 2 0.0000 0.884 0.000 1.000
#> 3977EBDA-AD30-4AA0-AC75-E33086DC533D 2 0.4298 0.835 0.088 0.912
#> 8D361255-E352-4248-9FDF-0A6602CB419D 2 0.9286 0.572 0.344 0.656
#> 18AE7FAE-0B1E-4F52-BEC6-6158E61EB679 2 0.0000 0.884 0.000 1.000
#> 5F005483-D289-4A3E-BD1E-0A4B3C655951 2 0.0000 0.884 0.000 1.000
#> D3803F45-EB0C-4FAD-8C7B-F3755FBF496D 2 0.9710 0.488 0.400 0.600
#> DF8D09B4-1F48-4D86-A379-1BB16E114CBE 2 0.8861 0.625 0.304 0.696
#> 2A6CB7AD-79C2-4D43-8D97-61A4A6A79D3B 2 0.9710 0.488 0.400 0.600
#> 26E2A815-3E72-4685-BEB7-0CDD0B410050 2 0.0000 0.884 0.000 1.000
#> 2979CA8D-550E-4C75-A2FF-9258F7BAD7FC 1 0.0000 0.854 1.000 0.000
#> 5458F2F5-ED55-4E5B-9971-DCE3C0BFB195 2 0.0000 0.884 0.000 1.000
#> 698C108E-37A9-48D4-AADC-19097ABD2AEA 2 0.0000 0.884 0.000 1.000
#> DE7224CC-4EEA-49CB-9EC0-79C15C993509 2 0.0000 0.884 0.000 1.000
#> 16D23472-C0CB-49F9-9139-77920C50235F 2 0.0000 0.884 0.000 1.000
#> 916770E3-91BF-4100-8C2D-E89D3817C8F2 2 0.0000 0.884 0.000 1.000
#> 87C6775A-2422-451E-BCB6-53B8255DC4C0 1 0.7219 0.755 0.800 0.200
#> D380C3A1-8FDD-498E-8A00-FDF81B36CC0B 2 0.9710 0.488 0.400 0.600
#> 50F1F219-6F28-41CD-AAB4-BEA14DF53C68 1 0.9661 0.539 0.608 0.392
#> 6C1611FB-409E-41D1-99D3-F109A8AE904A 2 0.9710 0.488 0.400 0.600
#> 69AA151F-0400-4E4A-811E-CA8C3EAE40AC 2 0.0376 0.883 0.004 0.996
#> A5573FDD-1C48-44AF-A8CB-626E77851DF4 2 0.0000 0.884 0.000 1.000
#> C6514E27-7E6A-4AFB-B6A7-BA777E222DAF 2 0.3584 0.848 0.068 0.932
#> 7B1D907A-09A6-4A20-B5F4-89052AF75A03 2 0.0000 0.884 0.000 1.000
#> 5843013F-31B8-4F16-B95B-F4BF952B45DB 2 0.8499 0.659 0.276 0.724
#> 4ABF71ED-E09B-4970-9AEE-F30A7D36C45F 2 0.6887 0.753 0.184 0.816
#> D14A535D-5C31-4D78-8F92-3B50922211A2 2 0.9710 0.488 0.400 0.600
#> 473DBE41-A955-4EAA-A48C-DC45B2B79C76 2 0.0000 0.884 0.000 1.000
#> 1A4ECFBC-B4C5-406D-A05E-4BDDB466E8D9 2 0.0672 0.881 0.008 0.992
#> F8CC192C-D77E-41D8-806B-1519B1D10D04 2 0.0000 0.884 0.000 1.000
#> 86808EE1-23F2-4FB0-A87F-B8673535D0DC 2 0.9710 0.488 0.400 0.600
#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.9460 0.544 0.364 0.636
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 2 0.0000 0.884 0.000 1.000
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 2 0.0000 0.884 0.000 1.000
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.0376 0.883 0.004 0.996
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.0000 0.884 0.000 1.000
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.0000 0.884 0.000 1.000
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 2 0.9710 0.488 0.400 0.600
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.0000 0.884 0.000 1.000
#> 212CB113-E765-4146-AC8A-B34044E2A849 2 0.0000 0.884 0.000 1.000
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.9552 0.562 0.624 0.376
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.1184 0.878 0.016 0.984
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.0000 0.884 0.000 1.000
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.7745 0.711 0.228 0.772
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.0000 0.884 0.000 1.000
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 2 0.0000 0.884 0.000 1.000
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.9710 0.488 0.400 0.600
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.7815 0.727 0.768 0.232
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.9710 0.488 0.400 0.600
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 2 0.0000 0.884 0.000 1.000
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.0000 0.884 0.000 1.000
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.0000 0.884 0.000 1.000
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 2 0.0000 0.884 0.000 1.000
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.5629 0.801 0.132 0.868
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.9710 0.488 0.400 0.600
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.9710 0.488 0.400 0.600
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 2 0.0000 0.884 0.000 1.000
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 2 0.0000 0.884 0.000 1.000
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.0000 0.884 0.000 1.000
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.6887 0.752 0.184 0.816
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 2 0.0000 0.884 0.000 1.000
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.9710 0.488 0.400 0.600
#> 560C9030-5EF4-466E-9149-BFB8215A512A 2 0.0000 0.884 0.000 1.000
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.0000 0.854 1.000 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.0000 0.884 0.000 1.000
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.0000 0.884 0.000 1.000
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.0000 0.854 1.000 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.9427 0.550 0.360 0.640
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.0376 0.883 0.004 0.996
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.9248 0.613 0.660 0.340
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.9710 0.488 0.400 0.600
#> E336F811-7C92-438D-9929-EA40AA2932CB 2 0.0000 0.884 0.000 1.000
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.4690 0.826 0.100 0.900
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.0000 0.884 0.000 1.000
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 2 0.0000 0.884 0.000 1.000
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 2 0.0000 0.884 0.000 1.000
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.4022 0.840 0.080 0.920
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.0000 0.884 0.000 1.000
#> 62315297-B01F-4A7F-9C15-5B602099257F 2 0.0000 0.884 0.000 1.000
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.9522 0.532 0.372 0.628
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 2 0.0000 0.884 0.000 1.000
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.0000 0.884 0.000 1.000
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.9209 0.584 0.336 0.664
#> 1707CA8B-228E-49F9-B78A-A0171E853376 2 0.9460 0.544 0.364 0.636
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 2 0.0000 0.884 0.000 1.000
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.9710 0.488 0.400 0.600
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.0000 0.884 0.000 1.000
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 2 0.0000 0.884 0.000 1.000
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.2948 0.858 0.052 0.948
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.0000 0.884 0.000 1.000
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.9710 0.526 0.600 0.400
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 2 0.0000 0.884 0.000 1.000
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.0938 0.880 0.012 0.988
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 2 0.2423 0.865 0.040 0.960
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 2 0.0000 0.884 0.000 1.000
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 2 0.0000 0.884 0.000 1.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.0000 0.884 0.000 1.000
#> E36F2243-58F5-41A0-A673-DEAFE0267426 2 0.0000 0.884 0.000 1.000
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0000 0.854 1.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.7602 0.719 0.220 0.780
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.0000 0.884 0.000 1.000
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.0000 0.884 0.000 1.000
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 2 0.0000 0.884 0.000 1.000
#> E5D94733-7D43-4021-8F57-4426EF183682 2 0.0000 0.884 0.000 1.000
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.0000 0.884 0.000 1.000
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.0000 0.884 0.000 1.000
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.0000 0.884 0.000 1.000
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 2 0.0000 0.884 0.000 1.000
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.0000 0.854 1.000 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.9580 0.520 0.380 0.620
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.0000 0.884 0.000 1.000
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.0000 0.884 0.000 1.000
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.6247 0.781 0.156 0.844
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.9710 0.488 0.400 0.600
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.9710 0.488 0.400 0.600
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.0000 0.884 0.000 1.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.0000 0.884 0.000 1.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.0000 0.884 0.000 1.000
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 2 0.0000 0.884 0.000 1.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.0376 0.883 0.004 0.996
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.9710 0.526 0.600 0.400
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 2 0.0000 0.884 0.000 1.000
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 2 0.0000 0.884 0.000 1.000
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.9248 0.578 0.340 0.660
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.9710 0.488 0.400 0.600
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.0000 0.884 0.000 1.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.0000 0.884 0.000 1.000
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.0000 0.884 0.000 1.000
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.5294 0.811 0.120 0.880
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.0000 0.884 0.000 1.000
#> F17C0E73-4C34-4F82-8562-56985A59316C 2 0.0000 0.884 0.000 1.000
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.9710 0.488 0.400 0.600
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.0000 0.884 0.000 1.000
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 2 0.0376 0.883 0.004 0.996
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.7376 0.731 0.208 0.792
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 2 0.0000 0.884 0.000 1.000
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.0000 0.854 1.000 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.8608 0.649 0.284 0.716
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.8327 0.672 0.264 0.736
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.0000 0.884 0.000 1.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.9710 0.488 0.400 0.600
#> 13138496-2362-49FA-9CBF-35EBB0843924 2 0.0000 0.884 0.000 1.000
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.9710 0.488 0.400 0.600
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.0000 0.884 0.000 1.000
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.0000 0.884 0.000 1.000
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 2 0.0000 0.884 0.000 1.000
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.9710 0.488 0.400 0.600
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.2982 0.6352 0.056 0.920 0.024
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.6169 0.4821 0.360 0.636 0.004
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.6467 0.3569 0.008 0.604 0.388
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 1 0.5325 0.6182 0.748 0.248 0.004
#> 82DA87CF-C067-44B3-A372-ECB056337B08 2 0.6606 0.5623 0.048 0.716 0.236
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.1636 0.7205 0.020 0.016 0.964
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.2301 0.7403 0.004 0.060 0.936
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.2651 0.7960 0.928 0.060 0.012
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.7097 0.5499 0.052 0.668 0.280
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#> A31CFD48-BCBE-46C9-B770-A07EE8482E0D 2 0.4834 0.5682 0.204 0.792 0.004
#> 74F90D6A-69F0-41CF-9073-E2AA8AB24DBB 3 0.1031 0.7365 0.000 0.024 0.976
#> 9795E955-35B9-459C-A7BD-DC446A13CC96 3 0.4002 0.6867 0.000 0.160 0.840
#> FD2BDC7F-EFDD-4105-B723-F84AC65965EC 2 0.3425 0.6111 0.004 0.884 0.112
#> E5D55EF6-37FF-422E-BC04-D17E0433AE23 2 0.5497 0.5519 0.000 0.708 0.292
#> B2010F2F-71D4-4637-BD7A-794E99732E03 2 0.6282 0.3323 0.004 0.612 0.384
#> 565107F6-F4DE-4DB0-AB02-6EB04300530A 2 0.6443 0.5569 0.240 0.720 0.040
#> CC01D4DD-D2F5-46F5-ADE5-7B8FF0009E16 2 0.6057 0.4534 0.004 0.656 0.340
#> 212CB113-E765-4146-AC8A-B34044E2A849 3 0.2356 0.7396 0.000 0.072 0.928
#> 67A43A02-3320-4058-896C-1E3CA832A5C2 1 0.6354 0.6992 0.748 0.056 0.196
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.2492 0.6191 0.016 0.936 0.048
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 2 0.5902 0.5248 0.004 0.680 0.316
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.6324 0.6193 0.160 0.764 0.076
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.3715 0.5973 0.004 0.868 0.128
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 3 0.5529 0.5904 0.000 0.296 0.704
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.5327 0.5305 0.272 0.728 0.000
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 1 0.6302 0.7103 0.744 0.208 0.048
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 2 0.6067 0.5512 0.236 0.736 0.028
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 3 0.4682 0.6657 0.004 0.192 0.804
#> B8A16628-2A0B-41AB-A057-82E2F855524D 2 0.7091 0.3778 0.040 0.640 0.320
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.6673 0.5973 0.068 0.732 0.200
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 3 0.6682 -0.2649 0.008 0.488 0.504
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.5911 0.6205 0.156 0.784 0.060
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.5178 0.5392 0.256 0.744 0.000
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.5774 0.5529 0.232 0.748 0.020
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.2796 0.7301 0.000 0.092 0.908
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 3 0.5905 0.5061 0.000 0.352 0.648
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 2 0.5988 0.3474 0.000 0.632 0.368
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.6854 0.5779 0.068 0.716 0.216
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 3 0.6617 -0.1580 0.008 0.436 0.556
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.7412 0.5729 0.192 0.696 0.112
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.2866 0.7381 0.008 0.076 0.916
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.1031 0.7945 0.976 0.024 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 2 0.5325 0.5029 0.004 0.748 0.248
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 2 0.6205 0.3882 0.008 0.656 0.336
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.0848 0.7972 0.984 0.008 0.008
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.6848 0.5962 0.164 0.736 0.100
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.3325 0.6197 0.020 0.904 0.076
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.6984 0.6777 0.720 0.192 0.088
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.4750 0.5505 0.216 0.784 0.000
#> E336F811-7C92-438D-9929-EA40AA2932CB 3 0.6763 -0.1528 0.012 0.436 0.552
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 2 0.7619 0.2678 0.044 0.532 0.424
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 2 0.6280 0.3591 0.000 0.540 0.460
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 3 0.2301 0.7394 0.004 0.060 0.936
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.2165 0.7378 0.000 0.064 0.936
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.7091 0.5716 0.056 0.676 0.268
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 2 0.6045 0.3072 0.000 0.620 0.380
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.1765 0.7336 0.004 0.040 0.956
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 2 0.7639 0.5063 0.088 0.656 0.256
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 3 0.5098 0.5849 0.000 0.248 0.752
#> D7791F51-5151-4E21-802F-F61EE07D626F 2 0.5678 0.4008 0.000 0.684 0.316
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.5967 0.5700 0.216 0.752 0.032
#> 1707CA8B-228E-49F9-B78A-A0171E853376 2 0.9732 0.0727 0.224 0.404 0.372
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.4217 0.6403 0.100 0.032 0.868
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.5363 0.5289 0.276 0.724 0.000
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 2 0.5882 0.3546 0.000 0.652 0.348
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.1163 0.7395 0.000 0.028 0.972
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.6087 0.6194 0.076 0.780 0.144
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 2 0.6410 0.3701 0.004 0.576 0.420
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.6126 0.6832 0.712 0.268 0.020
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.1643 0.7377 0.000 0.044 0.956
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.5514 0.6267 0.044 0.800 0.156
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 3 0.5497 0.6648 0.048 0.148 0.804
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 3 0.6235 -0.0969 0.000 0.436 0.564
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.2959 0.7320 0.000 0.100 0.900
#> EFA48913-D0BD-4530-A445-C327A89CE956 3 0.2860 0.7341 0.004 0.084 0.912
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.2682 0.7382 0.004 0.076 0.920
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.0892 0.7958 0.980 0.020 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.6892 0.6088 0.112 0.736 0.152
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.5835 0.3710 0.000 0.660 0.340
#> 2798DEF8-A841-4068-B3FC-76D57605235A 3 0.3349 0.7267 0.004 0.108 0.888
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.2200 0.7403 0.004 0.056 0.940
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.1989 0.7402 0.004 0.048 0.948
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.6516 0.1951 0.004 0.516 0.480
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.7002 0.4117 0.048 0.672 0.280
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.5988 0.3452 0.000 0.632 0.368
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 3 0.7809 -0.0625 0.056 0.396 0.548
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.6922 0.6323 0.720 0.200 0.080
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.5938 0.5553 0.248 0.732 0.020
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 2 0.5902 0.4257 0.004 0.680 0.316
#> 85C38170-F2A0-4491-BFDB-38489204C015 2 0.4555 0.5516 0.000 0.800 0.200
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.3193 0.6141 0.100 0.896 0.004
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.7180 0.5768 0.168 0.716 0.116
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.6906 0.5805 0.192 0.724 0.084
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 2 0.5902 0.4852 0.004 0.680 0.316
#> 0B400F91-2355-43AB-AA86-725C21352AB7 2 0.5882 0.3565 0.000 0.652 0.348
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.6193 0.4264 0.016 0.692 0.292
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.3272 0.7303 0.004 0.104 0.892
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.5357 0.6300 0.064 0.820 0.116
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.8566 0.5038 0.608 0.188 0.204
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 3 0.2590 0.7383 0.004 0.072 0.924
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.1832 0.7386 0.008 0.036 0.956
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.6025 0.5720 0.232 0.740 0.028
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.5254 0.5373 0.264 0.736 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 3 0.5158 0.6372 0.004 0.232 0.764
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 2 0.6341 0.5094 0.016 0.672 0.312
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 2 0.6062 0.3306 0.000 0.616 0.384
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.8195 0.1125 0.072 0.492 0.436
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.4489 0.6244 0.036 0.856 0.108
#> F17C0E73-4C34-4F82-8562-56985A59316C 3 0.7248 -0.1251 0.028 0.436 0.536
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 2 0.8535 0.2028 0.096 0.500 0.404
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.6148 0.3612 0.004 0.640 0.356
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.3692 0.7074 0.048 0.056 0.896
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.7972 0.5571 0.116 0.644 0.240
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.1781 0.7192 0.020 0.020 0.960
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.1711 0.7962 0.960 0.008 0.032
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.7223 0.6228 0.140 0.716 0.144
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.6936 0.5916 0.108 0.732 0.160
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 2 0.6168 0.1942 0.000 0.588 0.412
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.7208 0.4885 0.340 0.620 0.040
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.2945 0.7386 0.004 0.088 0.908
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.5098 0.5395 0.248 0.752 0.000
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.6062 0.3294 0.000 0.616 0.384
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 3 0.6688 0.3296 0.012 0.408 0.580
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.3500 0.7252 0.004 0.116 0.880
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.7983 0.5562 0.228 0.648 0.124
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.5309 0.61799 0.044 0.700 0.000 0.256
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.4098 0.61499 0.204 0.784 0.012 0.000
#> 3BBC7540-136B-47C8-9C09-CD423685B742 4 0.7953 0.45892 0.024 0.284 0.184 0.508
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 2 0.5463 0.14084 0.488 0.500 0.004 0.008
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.5147 0.03708 0.004 0.460 0.536 0.000
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.2275 0.72941 0.048 0.004 0.928 0.020
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.2467 0.74074 0.004 0.024 0.920 0.052
#> C590B811-A42F-4ED2-896A-513EFD42D62D 1 0.3856 0.78929 0.832 0.136 0.000 0.032
#> C7A75027-D49D-4D60-93A8-588487B5D690 2 0.5858 0.13993 0.032 0.500 0.468 0.000
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 3 0.8372 0.48572 0.120 0.188 0.560 0.132
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 2 0.5168 -0.32745 0.496 0.500 0.004 0.000
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.6718 0.53178 0.012 0.648 0.140 0.200
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.1406 0.71169 0.024 0.960 0.016 0.000
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.4600 0.59121 0.012 0.004 0.744 0.240
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.4104 0.65852 0.808 0.000 0.028 0.164
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 4 0.5894 0.63138 0.212 0.004 0.088 0.696
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.5565 0.56873 0.004 0.256 0.692 0.048
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.1767 0.71515 0.012 0.944 0.044 0.000
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.2282 0.71634 0.024 0.924 0.000 0.052
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 4 0.1929 0.73521 0.036 0.024 0.000 0.940
#> E8385A24-9459-4D47-9147-3A628D1A213D 4 0.6127 0.20716 0.032 0.436 0.008 0.524
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 2 0.6862 0.55882 0.228 0.596 0.176 0.000
#> C42C8456-82F9-433C-82BA-F1284CDC425C 4 0.6463 0.31858 0.016 0.380 0.044 0.560
#> 7194CC84-3897-4418-9695-66CC12CFE900 4 0.4401 0.55413 0.004 0.000 0.272 0.724
#> 032E0758-7A5B-405B-88D3-74C527605780 2 0.5497 -0.20412 0.460 0.524 0.000 0.016
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.5686 0.66900 0.036 0.744 0.048 0.172
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 4 0.1452 0.73106 0.036 0.000 0.008 0.956
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 3 0.4381 0.70737 0.100 0.020 0.832 0.048
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.1733 0.71903 0.024 0.948 0.000 0.028
#> D48A0C08-C253-49EA-9083-DCA68541072B 4 0.6014 0.64365 0.188 0.004 0.112 0.696
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 3 0.7707 0.29657 0.256 0.252 0.488 0.004
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.3001 0.73511 0.008 0.024 0.896 0.072
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.2923 0.70974 0.080 0.016 0.896 0.008
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.2179 0.72246 0.012 0.924 0.000 0.064
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 1 0.2911 0.75280 0.900 0.016 0.012 0.072
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.5642 0.55797 0.040 0.664 0.004 0.292
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.1807 0.73962 0.008 0.000 0.940 0.052
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.3117 0.71813 0.000 0.880 0.092 0.028
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 3 0.6416 0.37227 0.012 0.056 0.596 0.336
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.1854 0.73806 0.024 0.008 0.948 0.020
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 3 0.5123 0.57642 0.044 0.232 0.724 0.000
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 3 0.5764 0.44113 0.304 0.052 0.644 0.000
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 2 0.6388 0.65649 0.088 0.692 0.028 0.192
#> 040D3276-2E61-426E-B182-AEE6C9778488 2 0.9021 0.39092 0.148 0.456 0.120 0.276
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 4 0.2089 0.73647 0.020 0.000 0.048 0.932
#> F1E00B65-7148-441C-B752-A8F083957765 1 0.5586 0.35917 0.528 0.452 0.020 0.000
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.2910 0.72696 0.044 0.908 0.028 0.020
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 4 0.2521 0.74377 0.024 0.064 0.000 0.912
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 3 0.6270 0.37937 0.028 0.028 0.608 0.336
#> 9723BC03-C568-4F06-8912-484010C196D0 4 0.8747 0.22094 0.048 0.228 0.316 0.408
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.2675 0.73386 0.044 0.048 0.000 0.908
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 3 0.6978 0.50544 0.148 0.004 0.588 0.260
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#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 3 0.6725 0.26709 0.000 0.348 0.548 0.104
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.2505 0.72895 0.008 0.920 0.020 0.052
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.1388 0.70892 0.028 0.960 0.000 0.012
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.2862 0.71856 0.076 0.900 0.012 0.012
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.3444 0.67735 0.000 0.000 0.816 0.184
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 4 0.1510 0.73366 0.028 0.000 0.016 0.956
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 4 0.3309 0.72542 0.088 0.016 0.016 0.880
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.5381 0.53213 0.016 0.656 0.320 0.008
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 3 0.8394 0.12072 0.064 0.348 0.460 0.128
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 2 0.6091 0.65538 0.180 0.692 0.124 0.004
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.2467 0.73774 0.004 0.024 0.920 0.052
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 1 0.3569 0.78638 0.804 0.196 0.000 0.000
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.4549 0.68903 0.036 0.188 0.000 0.776
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 4 0.4040 0.72993 0.044 0.072 0.028 0.856
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 1 0.3668 0.78912 0.808 0.188 0.004 0.000
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.2859 0.71162 0.008 0.880 0.112 0.000
#> 4877594A-03A8-4407-8F21-C133460DA44D 2 0.6561 0.20790 0.044 0.512 0.016 0.428
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 1 0.4426 0.72802 0.772 0.000 0.024 0.204
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.3959 0.70785 0.068 0.840 0.000 0.092
#> E336F811-7C92-438D-9929-EA40AA2932CB 4 0.7498 0.46417 0.120 0.032 0.276 0.572
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 3 0.5130 0.45673 0.020 0.312 0.668 0.000
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 4 0.9251 0.35531 0.132 0.212 0.208 0.448
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 3 0.2075 0.73902 0.004 0.016 0.936 0.044
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.2731 0.73217 0.004 0.008 0.896 0.092
#> 8291A898-F097-4009-B0DB-ACB61493263B 2 0.4825 0.57963 0.004 0.700 0.288 0.008
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 4 0.1297 0.73554 0.016 0.000 0.020 0.964
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.1297 0.74168 0.000 0.016 0.964 0.020
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 3 0.4697 0.39911 0.000 0.356 0.644 0.000
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.4361 0.65258 0.020 0.000 0.208 0.772
#> D7791F51-5151-4E21-802F-F61EE07D626F 4 0.2408 0.73163 0.044 0.036 0.000 0.920
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.1917 0.71582 0.036 0.944 0.008 0.012
#> 1707CA8B-228E-49F9-B78A-A0171E853376 2 0.5290 -0.09487 0.008 0.516 0.476 0.000
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 3 0.7014 0.49320 0.272 0.008 0.588 0.132
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.2861 0.68713 0.096 0.888 0.000 0.016
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 4 0.1389 0.72862 0.048 0.000 0.000 0.952
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.1824 0.73892 0.000 0.004 0.936 0.060
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.4518 0.69853 0.016 0.812 0.136 0.036
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 4 0.8423 0.52924 0.112 0.164 0.168 0.556
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 1 0.4295 0.67093 0.752 0.008 0.000 0.240
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.1488 0.74090 0.000 0.012 0.956 0.032
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 2 0.7801 0.64153 0.120 0.616 0.104 0.160
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 3 0.5893 0.66600 0.004 0.128 0.712 0.156
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 4 0.5763 0.61087 0.096 0.000 0.204 0.700
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.4107 0.67846 0.004 0.016 0.804 0.176
#> EFA48913-D0BD-4530-A445-C327A89CE956 4 0.5569 0.50505 0.044 0.000 0.296 0.660
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.2246 0.73855 0.004 0.016 0.928 0.052
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 1 0.3610 0.78644 0.800 0.200 0.000 0.000
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 2 0.6285 0.65497 0.100 0.708 0.164 0.028
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 4 0.1610 0.73277 0.032 0.016 0.000 0.952
#> 2798DEF8-A841-4068-B3FC-76D57605235A 4 0.4910 0.56092 0.020 0.000 0.276 0.704
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.6339 0.60263 0.156 0.004 0.672 0.168
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.2048 0.73678 0.000 0.008 0.928 0.064
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 4 0.4374 0.70693 0.068 0.000 0.120 0.812
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 4 0.3278 0.71737 0.116 0.020 0.000 0.864
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 4 0.1388 0.73584 0.012 0.000 0.028 0.960
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 3 0.7352 0.29020 0.056 0.340 0.548 0.056
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 1 0.6214 0.10374 0.536 0.408 0.056 0.000
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.0844 0.71466 0.004 0.980 0.012 0.004
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 4 0.3711 0.73089 0.052 0.076 0.008 0.864
#> 85C38170-F2A0-4491-BFDB-38489204C015 4 0.4936 0.55183 0.020 0.280 0.000 0.700
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.5434 0.61195 0.052 0.696 0.000 0.252
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.3427 0.70452 0.028 0.860 0.112 0.000
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.2546 0.71418 0.008 0.900 0.092 0.000
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 4 0.6940 0.67714 0.104 0.092 0.116 0.688
#> 0B400F91-2355-43AB-AA86-725C21352AB7 4 0.2515 0.72429 0.072 0.004 0.012 0.912
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 4 0.2996 0.72896 0.044 0.064 0.000 0.892
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.3432 0.72378 0.012 0.020 0.872 0.096
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 2 0.4936 0.54996 0.012 0.672 0.000 0.316
#> F4142833-0749-44A4-B769-66262AA4A484 1 0.5972 0.55404 0.632 0.000 0.064 0.304
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 3 0.4059 0.65556 0.000 0.012 0.788 0.200
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.1488 0.73993 0.000 0.012 0.956 0.032
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.1082 0.71385 0.020 0.972 0.004 0.004
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.0921 0.70859 0.028 0.972 0.000 0.000
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 4 0.4085 0.72168 0.040 0.020 0.092 0.848
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 4 0.7531 0.64824 0.120 0.144 0.096 0.640
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 4 0.3122 0.72573 0.084 0.012 0.016 0.888
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 3 0.5993 0.33247 0.008 0.408 0.556 0.028
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.5658 0.64751 0.020 0.724 0.048 0.208
#> F17C0E73-4C34-4F82-8562-56985A59316C 3 0.6775 0.46970 0.072 0.276 0.624 0.028
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 3 0.6539 0.11998 0.064 0.428 0.504 0.004
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.4679 0.72725 0.036 0.084 0.056 0.824
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 3 0.4804 0.69005 0.120 0.036 0.808 0.036
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 2 0.7155 0.58741 0.152 0.616 0.212 0.020
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.2456 0.72012 0.068 0.008 0.916 0.008
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 1 0.5727 0.75219 0.704 0.200 0.096 0.000
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 2 0.7055 0.67155 0.180 0.664 0.072 0.084
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 2 0.4426 0.69601 0.032 0.796 0.168 0.004
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 4 0.2561 0.72642 0.068 0.004 0.016 0.912
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 2 0.5130 0.59268 0.332 0.652 0.016 0.000
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.2360 0.73821 0.004 0.020 0.924 0.052
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.4022 0.70597 0.068 0.836 0.000 0.096
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.3487 0.74247 0.016 0.040 0.064 0.880
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 4 0.1938 0.73557 0.012 0.000 0.052 0.936
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.3948 0.71636 0.016 0.036 0.852 0.096
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.5932 0.64631 0.172 0.696 0.132 0.000
cbind(get_classes(res, k = 5), get_membership(res, k = 5))
#> class entropy silhouette p1 p2 p3 p4 p5
#> 72189C87-53DD-427E-B163-91E404577A7A 2 0.6528 0.468288 0.280 0.548 0.000 0.152 0.020
#> 27496AAB-AC06-4100-BB41-0029F63CC678 2 0.6747 0.116594 0.364 0.376 0.000 0.000 0.260
#> 3BBC7540-136B-47C8-9C09-CD423685B742 4 0.6413 0.557483 0.000 0.204 0.160 0.604 0.032
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.6387 0.344038 0.272 0.216 0.000 0.000 0.512
#> 82DA87CF-C067-44B3-A372-ECB056337B08 3 0.6936 0.081163 0.124 0.344 0.496 0.012 0.024
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.2864 0.734051 0.112 0.000 0.864 0.000 0.024
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.4766 0.632104 0.000 0.060 0.748 0.172 0.020
#> C590B811-A42F-4ED2-896A-513EFD42D62D 5 0.3845 0.750306 0.000 0.100 0.012 0.064 0.824
#> C7A75027-D49D-4D60-93A8-588487B5D690 1 0.8476 0.206205 0.404 0.208 0.264 0.024 0.100
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 1 0.1960 0.725145 0.928 0.004 0.048 0.000 0.020
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 2 0.4138 0.235545 0.000 0.616 0.000 0.000 0.384
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 2 0.5393 0.560652 0.004 0.712 0.144 0.124 0.016
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 2 0.3152 0.674024 0.044 0.876 0.028 0.000 0.052
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.4534 0.557206 0.004 0.020 0.724 0.240 0.012
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.4914 0.566435 0.676 0.000 0.000 0.064 0.260
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.3923 0.703888 0.812 0.000 0.016 0.132 0.040
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 3 0.5815 0.609935 0.072 0.152 0.712 0.040 0.024
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 2 0.5892 0.629084 0.168 0.680 0.056 0.000 0.096
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 2 0.4920 0.630706 0.200 0.728 0.000 0.040 0.032
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 4 0.4859 0.420418 0.332 0.024 0.000 0.636 0.008
#> E8385A24-9459-4D47-9147-3A628D1A213D 2 0.7043 0.211667 0.076 0.528 0.024 0.324 0.048
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 1 0.5919 0.630560 0.692 0.104 0.084 0.000 0.120
#> C42C8456-82F9-433C-82BA-F1284CDC425C 4 0.6584 0.181473 0.024 0.400 0.032 0.496 0.048
#> 7194CC84-3897-4418-9695-66CC12CFE900 4 0.3993 0.644425 0.028 0.000 0.216 0.756 0.000
#> 032E0758-7A5B-405B-88D3-74C527605780 2 0.5199 0.146853 0.000 0.548 0.004 0.036 0.412
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 2 0.5741 0.649588 0.044 0.716 0.020 0.152 0.068
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 4 0.2561 0.693093 0.096 0.000 0.000 0.884 0.020
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 3 0.5023 0.609457 0.256 0.028 0.692 0.008 0.016
#> E4E13C28-C852-4783-87C8-A77C0436354E 2 0.4889 0.636556 0.208 0.728 0.008 0.012 0.044
#> D48A0C08-C253-49EA-9083-DCA68541072B 1 0.3341 0.701198 0.840 0.000 0.008 0.128 0.024
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 3 0.7190 0.371527 0.032 0.148 0.496 0.012 0.312
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.2347 0.751522 0.012 0.012 0.920 0.040 0.016
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 1 0.5662 0.354502 0.568 0.004 0.364 0.008 0.056
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 2 0.6244 0.164051 0.412 0.488 0.000 0.028 0.072
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.4583 0.569881 0.296 0.000 0.000 0.032 0.672
#> 2913A3F4-469F-4817-A608-3A0F38383197 2 0.5025 0.618399 0.084 0.700 0.000 0.212 0.004
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.2484 0.753126 0.068 0.000 0.900 0.028 0.004
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 2 0.3869 0.667308 0.028 0.836 0.100 0.024 0.012
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 4 0.5874 0.515824 0.000 0.100 0.284 0.604 0.012
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.2295 0.745248 0.088 0.004 0.900 0.000 0.008
#> 1E32B6FC-EF1C-4962-9E39-901DBF47C7E4 1 0.6304 0.200646 0.488 0.020 0.420 0.012 0.060
#> E51F9DF6-38FA-43EE-86E1-1B912CC5FB83 3 0.6447 0.450460 0.152 0.028 0.588 0.000 0.232
#> B476AD0A-B1FB-4295-91C6-238C61C02EF6 1 0.6091 0.607386 0.664 0.192 0.004 0.056 0.084
#> 040D3276-2E61-426E-B182-AEE6C9778488 1 0.1574 0.724341 0.952 0.020 0.004 0.012 0.012
#> F92A6AE9-7FD3-4058-A679-F1E779460AAF 4 0.3368 0.701101 0.080 0.000 0.028 0.860 0.032
#> F1E00B65-7148-441C-B752-A8F083957765 5 0.5161 0.123369 0.032 0.432 0.004 0.000 0.532
#> EE0505BC-8638-41DA-86FF-193A3C28C5AB 2 0.5185 0.488834 0.300 0.644 0.004 0.004 0.048
#> 60F0B5C7-74E1-45D5-9CDB-27814CD8E5F3 1 0.5289 0.258406 0.536 0.028 0.000 0.424 0.012
#> F50833D9-752C-42FE-AC03-CE91ABB9B825 1 0.5776 0.450050 0.588 0.008 0.340 0.048 0.016
#> 9723BC03-C568-4F06-8912-484010C196D0 1 0.4955 0.694615 0.748 0.032 0.172 0.040 0.008
#> F8FF0B4E-0868-417C-9118-F484437E57DA 4 0.5706 0.591057 0.216 0.068 0.000 0.672 0.044
#> 6A90025D-C40C-45F1-9DE8-75A37C27A6C9 1 0.4836 0.658269 0.756 0.000 0.140 0.080 0.024
#> FE2C169A-E41F-45EB-B61E-776493069D78 1 0.7242 0.128415 0.420 0.000 0.280 0.276 0.024
#> E4FA9343-A981-421A-A5B7-C1A79925B1E7 1 0.5160 0.460350 0.632 0.004 0.324 0.028 0.012
#> 613A3C1F-286A-44DB-8333-70B84680F882 3 0.1285 0.752902 0.004 0.000 0.956 0.036 0.004
#> B5AD3EBE-A770-4F8F-ADED-5D1596F667B6 5 0.5864 0.565095 0.016 0.000 0.124 0.220 0.640
#> 2D638C51-F3A3-4E77-83C4-B1F6E3E1B6A2 1 0.6464 0.428289 0.548 0.084 0.000 0.324 0.044
#> D58CE99E-A954-4555-AA01-6582C049B7ED 4 0.5491 0.648536 0.004 0.180 0.112 0.692 0.012
#> 92181B50-7770-40E7-B7DE-72BB65F2FAA1 2 0.4828 0.583216 0.244 0.708 0.028 0.004 0.016
#> 9D1ACC33-5F00-405E-B47C-0CA3FBF7C845 5 0.3404 0.753056 0.024 0.124 0.012 0.000 0.840
#> EA4B7BDF-EABF-4878-9ACF-4154C2BAFE99 2 0.4596 0.631078 0.092 0.776 0.020 0.000 0.112
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#> 67A43A02-3320-4058-896C-1E3CA832A5C2 5 0.2975 0.738918 0.020 0.012 0.016 0.064 0.888
#> 5A0133E4-F767-439C-8EB3-AAD140134CDF 2 0.6400 0.377306 0.096 0.576 0.000 0.288 0.040
#> 8441F3BF-67C6-4E7D-8192-0346C55FB495 1 0.7371 0.140682 0.448 0.352 0.152 0.036 0.012
#> FDE53F85-9934-4AA1-9B76-BC803C19262C 2 0.3683 0.666989 0.004 0.852 0.036 0.048 0.060
#> 91C50649-EC31-4E49-8312-199C21A1F371 2 0.7400 0.189308 0.296 0.368 0.000 0.308 0.028
#> 57E74BBE-92CF-49AA-A571-FFD3DBB6955F 4 0.6239 0.666839 0.076 0.144 0.040 0.692 0.048
#> 1A131A51-4100-4BDC-AED6-3DBFDC3155C4 2 0.3595 0.632038 0.044 0.816 0.000 0.000 0.140
#> 57F2CD81-20B0-4814-9C40-42EC9C2F3915 5 0.4057 0.734055 0.088 0.000 0.000 0.120 0.792
#> 924CE959-0BD7-4688-8C86-9CB6653B124E 1 0.6762 0.440358 0.568 0.256 0.004 0.040 0.132
#> D68CC3BD-04A4-4B91-B9BF-B40A68F460B4 4 0.3424 0.710436 0.024 0.000 0.096 0.852 0.028
#> B8A16628-2A0B-41AB-A057-82E2F855524D 1 0.5641 0.519905 0.596 0.004 0.000 0.312 0.088
#> 85EBC99B-BD01-4897-ACAE-9C5FBABF52B8 2 0.7629 0.104240 0.084 0.492 0.060 0.320 0.044
#> A7D470C9-4E4E-4DA7-8C5A-0261A8477377 1 0.5837 0.341398 0.520 0.048 0.412 0.016 0.004
#> 69C2B969-5B33-47C1-8E99-0714BFE0E00C 2 0.5655 0.105930 0.440 0.508 0.008 0.016 0.028
#> 47030843-A3FD-4411-B1C1-BB19F13FC366 2 0.3790 0.670514 0.052 0.832 0.000 0.020 0.096
#> 904E24EB-A76C-4BEF-A27B-FAB37ACB1075 2 0.6486 0.629426 0.128 0.640 0.008 0.052 0.172
#> 2814A7CA-3660-401D-B8DE-1248F39521C6 3 0.3563 0.701397 0.028 0.000 0.824 0.140 0.008
#> 69542D4F-8035-4ED5-999C-0C1FA56FD7C8 4 0.3602 0.635665 0.180 0.000 0.000 0.796 0.024
#> 4193E7F2-51B2-4B41-82AC-900C9967E28C 4 0.4518 0.467170 0.320 0.000 0.004 0.660 0.016
#> A2814D48-C2B6-4536-AC39-6EA289F8D433 2 0.8437 0.463762 0.212 0.468 0.168 0.040 0.112
#> 13D42C2D-1546-4B4A-BDAA-2595662A69FC 1 0.6066 0.649150 0.692 0.028 0.152 0.032 0.096
#> FEBEDF4C-81D2-4A4E-B42F-4C92FD7E8BE3 1 0.3906 0.680087 0.816 0.128 0.024 0.000 0.032
#> 560C9030-5EF4-466E-9149-BFB8215A512A 3 0.1560 0.751995 0.000 0.020 0.948 0.028 0.004
#> AFAEC4D4-1A4A-424E-818D-C34710F53E18 5 0.3039 0.735308 0.000 0.192 0.000 0.000 0.808
#> DD8F70E2-3827-4603-8971-E420450D919C 4 0.6100 0.521284 0.092 0.264 0.000 0.612 0.032
#> 6B53A727-B573-4CC3-BD68-B010C23755CF 4 0.3319 0.709715 0.000 0.116 0.016 0.848 0.020
#> 7CD84D01-9C88-4BED-96D0-174A316141EC 5 0.2669 0.748887 0.020 0.104 0.000 0.000 0.876
#> 8C6F5B5E-5CC9-4905-9ABA-242F9D017CD8 2 0.4627 0.649962 0.016 0.788 0.124 0.020 0.052
#> 4877594A-03A8-4407-8F21-C133460DA44D 4 0.5430 0.420949 0.004 0.348 0.008 0.596 0.044
#> 36CAFD44-EFEB-4476-AC99-21F985724F8B 5 0.4557 0.730578 0.040 0.000 0.040 0.144 0.776
#> 2467DEAA-BFA3-40B8-A0C3-0084DC17958C 2 0.4261 0.653570 0.080 0.812 0.000 0.060 0.048
#> E336F811-7C92-438D-9929-EA40AA2932CB 1 0.3596 0.725131 0.860 0.016 0.040 0.064 0.020
#> 28345FC8-8622-4930-AC52-6A520FB56AAF 3 0.6208 0.533244 0.204 0.104 0.648 0.008 0.036
#> 449E76F7-0FBB-4244-8974-29D58AA377D7 1 0.2214 0.729495 0.928 0.012 0.016 0.020 0.024
#> DF9A87FE-7AF9-423F-B0C0-B746A512A226 3 0.2434 0.750153 0.000 0.048 0.908 0.036 0.008
#> 8B985A99-DD2D-411A-A708-3EFE39B9798B 3 0.2950 0.746011 0.036 0.004 0.888 0.056 0.016
#> 8291A898-F097-4009-B0DB-ACB61493263B 1 0.7758 0.214785 0.444 0.292 0.200 0.012 0.052
#> 3CAF52A5-84AE-4F43-B21D-AC83D90318B0 4 0.1828 0.710077 0.032 0.000 0.004 0.936 0.028
#> 62315297-B01F-4A7F-9C15-5B602099257F 3 0.1267 0.755020 0.024 0.004 0.960 0.000 0.012
#> 0269707B-3B84-4DBC-B734-F54A5174C7A2 3 0.5732 0.549041 0.064 0.264 0.644 0.004 0.024
#> 5E83B4E1-EE93-4C82-9B00-17AABC3B8AAD 4 0.5168 0.673976 0.076 0.000 0.092 0.752 0.080
#> D7791F51-5151-4E21-802F-F61EE07D626F 4 0.5159 0.549425 0.244 0.040 0.000 0.688 0.028
#> 46894A46-3B37-4CE2-9BDF-D50D0CA02F92 2 0.3302 0.663616 0.048 0.876 0.016 0.016 0.044
#> 1707CA8B-228E-49F9-B78A-A0171E853376 3 0.5319 0.062667 0.004 0.464 0.492 0.000 0.040
#> 8BA08776-C648-4512-9A4B-E369EA3721B0 1 0.4028 0.706798 0.824 0.000 0.088 0.044 0.044
#> B0055BFB-D214-4C23-9366-7F909D7630FA 2 0.3900 0.625383 0.032 0.808 0.000 0.016 0.144
#> 2DD1286D-5C5C-4D8C-B3BA-88BE7FF06AD8 4 0.3195 0.689496 0.100 0.004 0.000 0.856 0.040
#> 9B0777F9-040F-40BC-A330-AF4E34A11D81 3 0.1492 0.753288 0.004 0.000 0.948 0.040 0.008
#> 242475A1-BFE3-42EA-99FB-0EBE91A952AB 2 0.6414 0.654366 0.112 0.688 0.100 0.052 0.048
#> 14E94A9C-46F0-47A8-A8CE-23C7815C7FB7 1 0.2073 0.727631 0.932 0.008 0.012 0.032 0.016
#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 5 0.4217 0.662615 0.012 0.012 0.000 0.244 0.732
#> 364A8D63-3BEC-480B-9885-783CE8DC2731 3 0.0902 0.753724 0.004 0.004 0.976 0.008 0.008
#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 1 0.3811 0.704415 0.836 0.104 0.008 0.028 0.024
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 3 0.6336 0.592668 0.004 0.184 0.640 0.128 0.044
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 1 0.6072 0.647607 0.664 0.000 0.088 0.180 0.068
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.3256 0.754583 0.052 0.008 0.876 0.044 0.020
#> EFA48913-D0BD-4530-A445-C327A89CE956 4 0.6782 0.509285 0.100 0.000 0.196 0.600 0.104
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.1682 0.750538 0.000 0.012 0.940 0.044 0.004
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 5 0.3359 0.745896 0.020 0.164 0.000 0.000 0.816
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.3498 0.708820 0.856 0.084 0.032 0.004 0.024
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 4 0.2277 0.708064 0.052 0.016 0.000 0.916 0.016
#> 2798DEF8-A841-4068-B3FC-76D57605235A 4 0.7579 0.425555 0.212 0.008 0.136 0.532 0.112
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.6306 0.594908 0.064 0.000 0.644 0.116 0.176
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.2017 0.746778 0.000 0.000 0.912 0.080 0.008
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 1 0.5894 0.556617 0.612 0.000 0.028 0.288 0.072
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 4 0.6133 0.151035 0.364 0.004 0.000 0.512 0.120
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 4 0.1869 0.715349 0.036 0.000 0.016 0.936 0.012
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 1 0.7350 0.204722 0.456 0.052 0.380 0.024 0.088
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 5 0.5423 0.489698 0.244 0.112 0.000 0.000 0.644
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 2 0.3477 0.666528 0.140 0.828 0.024 0.000 0.008
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.4472 0.655428 0.760 0.024 0.000 0.184 0.032
#> 85C38170-F2A0-4491-BFDB-38489204C015 1 0.7524 0.056763 0.412 0.128 0.020 0.396 0.044
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 2 0.6688 0.485795 0.260 0.548 0.000 0.164 0.028
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 2 0.5683 0.630237 0.148 0.708 0.092 0.004 0.048
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 2 0.4007 0.662413 0.028 0.820 0.116 0.004 0.032
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 1 0.3801 0.700469 0.828 0.028 0.000 0.112 0.032
#> 0B400F91-2355-43AB-AA86-725C21352AB7 1 0.5149 0.322123 0.572 0.004 0.000 0.388 0.036
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 4 0.3149 0.715147 0.012 0.080 0.000 0.868 0.040
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.3087 0.726494 0.008 0.016 0.872 0.092 0.012
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.6525 0.494581 0.568 0.252 0.004 0.160 0.016
#> F4142833-0749-44A4-B769-66262AA4A484 5 0.5899 0.550384 0.028 0.000 0.080 0.268 0.624
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 3 0.5880 0.573382 0.004 0.060 0.676 0.200 0.060
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.1200 0.753006 0.000 0.008 0.964 0.016 0.012
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 2 0.3250 0.664772 0.040 0.880 0.020 0.016 0.044
#> B1F7AADF-8867-48D3-9116-854929420482 2 0.2597 0.670889 0.060 0.896 0.004 0.000 0.040
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 4 0.4050 0.717141 0.008 0.076 0.068 0.828 0.020
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 1 0.4932 0.682717 0.772 0.060 0.016 0.124 0.028
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.4157 0.662736 0.776 0.004 0.008 0.184 0.028
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 2 0.7208 0.276826 0.004 0.508 0.308 0.104 0.076
#> 69B229BC-0964-48FC-9FBC-B9303C027981 2 0.6624 0.646959 0.096 0.660 0.024 0.140 0.080
#> F17C0E73-4C34-4F82-8562-56985A59316C 1 0.5950 0.391997 0.580 0.064 0.328 0.000 0.028
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 1 0.5558 0.559729 0.652 0.064 0.260 0.000 0.024
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 4 0.4741 0.676077 0.000 0.160 0.060 0.756 0.024
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 1 0.3250 0.702179 0.844 0.008 0.128 0.000 0.020
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 1 0.3807 0.714621 0.844 0.028 0.040 0.008 0.080
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.3106 0.723760 0.140 0.000 0.840 0.000 0.020
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 5 0.3757 0.746935 0.012 0.156 0.024 0.000 0.808
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.2213 0.719401 0.920 0.048 0.004 0.004 0.024
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 1 0.6890 0.261899 0.508 0.340 0.100 0.004 0.048
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 1 0.4774 0.277890 0.556 0.000 0.000 0.424 0.020
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.4867 0.613862 0.716 0.104 0.000 0.000 0.180
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.3674 0.737115 0.000 0.024 0.844 0.064 0.068
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 2 0.5445 0.660805 0.068 0.728 0.000 0.084 0.120
#> 44A16F74-F823-4B27-AC3B-52526426199B 4 0.3981 0.724000 0.008 0.060 0.080 0.832 0.020
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 4 0.2581 0.711309 0.048 0.000 0.028 0.904 0.020
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.3556 0.693695 0.000 0.032 0.828 0.132 0.008
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 2 0.7302 0.315959 0.316 0.444 0.040 0.000 0.200
cbind(get_classes(res, k = 6), get_membership(res, k = 6))
#> class entropy silhouette p1 p2 p3 p4 p5 p6
#> 72189C87-53DD-427E-B163-91E404577A7A 6 0.6030 0.44343 0.128 0.092 0.000 0.136 0.008 0.636
#> 27496AAB-AC06-4100-BB41-0029F63CC678 6 0.5478 0.48118 0.076 0.016 0.000 0.076 0.136 0.696
#> 3BBC7540-136B-47C8-9C09-CD423685B742 2 0.6649 0.41280 0.004 0.528 0.056 0.208 0.004 0.200
#> 1B2EC3E0-16A7-4F82-A123-B85A2CE01E63 5 0.6721 0.34398 0.216 0.000 0.000 0.104 0.516 0.164
#> 82DA87CF-C067-44B3-A372-ECB056337B08 6 0.4496 0.45895 0.012 0.012 0.208 0.036 0.004 0.728
#> 8A35116A-7F2B-49F8-A497-398959BB1AD9 3 0.4296 0.70396 0.064 0.012 0.808 0.020 0.040 0.056
#> 2DB9E01D-2082-4D9A-9B5A-8C1149AEF365 3 0.7544 0.49666 0.036 0.128 0.528 0.196 0.032 0.080
#> C590B811-A42F-4ED2-896A-513EFD42D62D 5 0.3311 0.73083 0.000 0.032 0.004 0.112 0.836 0.016
#> C7A75027-D49D-4D60-93A8-588487B5D690 6 0.3851 0.51514 0.080 0.024 0.044 0.008 0.016 0.828
#> C1607EA4-7224-45CA-BFFA-BDF77B6D70A9 1 0.3239 0.63647 0.852 0.000 0.056 0.040 0.000 0.052
#> 11BC2849-8F3D-4F52-BD79-675E8899D47E 5 0.5830 0.18649 0.000 0.000 0.000 0.284 0.488 0.228
#> 253ABFD1-4BA7-4C9F-82FB-5637FE5A0B5D 4 0.5162 0.50525 0.016 0.104 0.096 0.736 0.012 0.036
#> E14F2D43-D96C-4032-9BBD-476FBFED85C7 6 0.5122 0.24894 0.004 0.000 0.004 0.360 0.068 0.564
#> 0B3CA2C9-B166-4156-810B-231E109E5F7C 3 0.3621 0.61872 0.000 0.192 0.772 0.032 0.004 0.000
#> 701D6EDF-68D4-4034-AE7F-8955C4505A7C 1 0.6336 0.43980 0.560 0.068 0.000 0.004 0.240 0.128
#> 7E4D72A2-FA94-49B2-9416-AC455686EC03 1 0.6163 0.43838 0.592 0.168 0.016 0.012 0.012 0.200
#> 20F8A16E-96F0-4338-8C76-F3E9914341E5 6 0.6204 0.25888 0.004 0.080 0.352 0.052 0.004 0.508
#> 5929BC6C-3B2E-48AF-B129-EF6B556B0938 6 0.4105 0.49571 0.048 0.004 0.008 0.108 0.032 0.800
#> 8B4F9DA2-10CB-4310-9D20-A21AE84EA9C5 6 0.5784 0.38046 0.072 0.024 0.000 0.256 0.032 0.616
#> 2D1C8FCB-F1C0-44A9-9CE0-E7A34EF76B70 2 0.5441 0.13298 0.404 0.508 0.000 0.072 0.012 0.004
#> E8385A24-9459-4D47-9147-3A628D1A213D 4 0.4865 0.44999 0.188 0.092 0.016 0.700 0.000 0.004
#> 56B2DA3A-4661-48A9-94F3-BC1EF697C000 1 0.7475 0.11183 0.392 0.000 0.108 0.012 0.196 0.292
#> C42C8456-82F9-433C-82BA-F1284CDC425C 6 0.5706 -0.10581 0.004 0.440 0.008 0.092 0.004 0.452
#> 7194CC84-3897-4418-9695-66CC12CFE900 2 0.3226 0.63647 0.012 0.848 0.108 0.012 0.012 0.008
#> 032E0758-7A5B-405B-88D3-74C527605780 5 0.5907 0.37153 0.000 0.020 0.000 0.284 0.540 0.156
#> D5A6367E-A7CF-4D5D-A2EA-6F4523D67BAC 6 0.5054 0.43482 0.000 0.140 0.012 0.120 0.020 0.708
#> A13F8782-7724-4718-A5DA-EBB11A6D8DBE 2 0.3808 0.59363 0.124 0.808 0.004 0.044 0.008 0.012
#> 08BA10AE-3274-41CB-AEDD-3D89A729C2A8 3 0.7475 0.34993 0.276 0.012 0.428 0.212 0.040 0.032
#> E4E13C28-C852-4783-87C8-A77C0436354E 4 0.6677 0.25163 0.196 0.000 0.004 0.504 0.060 0.236
#> D48A0C08-C253-49EA-9083-DCA68541072B 1 0.3985 0.62742 0.832 0.052 0.028 0.028 0.020 0.040
#> DB30C65E-3277-4367-B4DC-F577F2E8697C 6 0.8343 0.13093 0.036 0.024 0.168 0.152 0.220 0.400
#> 19BBE655-97EA-4FED-AAA0-EB4887469A66 3 0.2078 0.70714 0.004 0.040 0.912 0.044 0.000 0.000
#> 8B0BB142-2631-4EB2-BB73-1A7F107940EE 3 0.6603 0.13094 0.300 0.008 0.432 0.000 0.020 0.240
#> 03A990C6-A6AF-42DC-882C-3DD6AEFB1B98 6 0.6458 0.36665 0.212 0.012 0.004 0.200 0.028 0.544
#> F5129C4B-B6DB-4859-BC07-7C6BC4E34DD9 5 0.4213 0.65790 0.204 0.020 0.000 0.016 0.744 0.016
#> 2913A3F4-469F-4817-A608-3A0F38383197 6 0.6517 0.21325 0.020 0.164 0.000 0.312 0.020 0.484
#> D5502E9C-F73C-49B8-AB4F-5DC7BC00C4FE 3 0.1741 0.72493 0.020 0.020 0.940 0.004 0.012 0.004
#> DA6D0FD5-004D-42F0-925F-FB6F44ADD3B2 4 0.5312 0.47572 0.080 0.008 0.088 0.736 0.032 0.056
#> 02D08A2D-80E6-4D94-9B57-25663848F7B5 2 0.5993 0.40609 0.000 0.544 0.264 0.172 0.004 0.016
#> BEE76CFD-DA21-457B-9F50-E61E0F3DC367 3 0.2763 0.72224 0.040 0.008 0.892 0.012 0.012 0.036
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#> 54D783FC-E5FF-416E-AEB6-8D49BBC72A93 5 0.4540 0.64132 0.008 0.184 0.000 0.060 0.732 0.016
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#> 571D14EF-2ED2-4E61-B3A7-1BEDBBBAC10B 1 0.4268 0.51305 0.724 0.004 0.012 0.232 0.008 0.020
#> 800A4B35-24BD-45AB-90C6-663AA6166F81 3 0.7471 0.25949 0.044 0.016 0.400 0.368 0.044 0.128
#> A6EC5598-ED83-4793-8EC2-1A9002F90C71 6 0.6851 0.10154 0.244 0.300 0.012 0.008 0.016 0.420
#> D9E07A66-E2A2-43F8-BA39-314EF5425D28 3 0.2915 0.70127 0.048 0.044 0.872 0.036 0.000 0.000
#> EFA48913-D0BD-4530-A445-C327A89CE956 2 0.6472 0.43581 0.076 0.556 0.032 0.024 0.020 0.292
#> E36F2243-58F5-41A0-A673-DEAFE0267426 3 0.1718 0.71461 0.000 0.044 0.932 0.016 0.000 0.008
#> 208AC48A-54A5-4308-A56F-48F8F2142CDA 5 0.2272 0.73128 0.004 0.000 0.000 0.040 0.900 0.056
#> D35E3701-AF4E-4345-B4FE-BBB69802D389 1 0.5592 0.52796 0.664 0.000 0.064 0.036 0.032 0.204
#> BFFDB32F-4FD7-45A6-9A15-EB9DD1758257 2 0.3555 0.59676 0.068 0.824 0.000 0.092 0.004 0.012
#> 2798DEF8-A841-4068-B3FC-76D57605235A 2 0.6306 0.19519 0.104 0.436 0.024 0.000 0.020 0.416
#> 1AE775CF-7C14-49B2-B6E7-D2B09692E579 3 0.8263 0.10974 0.036 0.276 0.356 0.016 0.116 0.200
#> E5D94733-7D43-4021-8F57-4426EF183682 3 0.2722 0.71121 0.004 0.100 0.872 0.008 0.008 0.008
#> C5B0F8EE-C6E6-4FF5-A439-A44732EE959C 2 0.7168 0.16587 0.224 0.420 0.036 0.008 0.016 0.296
#> 752F10D7-A8B7-4EEE-A1E0-E84B4765B77A 2 0.7046 0.19510 0.320 0.484 0.004 0.072 0.072 0.048
#> D42F6E19-1D21-41D9-8F23-EBBE82685DE5 2 0.2452 0.65732 0.012 0.904 0.016 0.012 0.004 0.052
#> 0BCA56B3-79A4-48E2-A17D-A4EDF5CB0982 6 0.7906 0.26815 0.208 0.104 0.076 0.064 0.044 0.504
#> 2E5F7AA1-238E-4124-B24B-2EAA480E143D 6 0.5339 0.21772 0.064 0.000 0.004 0.012 0.396 0.524
#> D6CE24DC-7C40-44D6-A81D-B4585D551A9E 6 0.5930 0.27906 0.032 0.000 0.032 0.340 0.048 0.548
#> 408978EB-9C58-43CE-B02D-D7FDEF68A45A 1 0.5097 0.55657 0.728 0.080 0.008 0.140 0.016 0.028
#> 85C38170-F2A0-4491-BFDB-38489204C015 1 0.6049 0.33089 0.548 0.156 0.004 0.272 0.004 0.016
#> 23D29C1D-D37F-420D-BC7C-6D17EE1B10EE 6 0.6327 0.37350 0.124 0.080 0.000 0.200 0.008 0.588
#> 443C3A0D-9F72-45B8-A332-D5EBABE7531F 6 0.4334 0.49653 0.024 0.004 0.012 0.064 0.112 0.784
#> DD209226-552D-4FF3-BADB-297F0FCB2DC9 6 0.5540 0.31631 0.004 0.000 0.064 0.292 0.040 0.600
#> 7621F054-7DB3-4EB9-A9BB-724D3FD1E2D8 1 0.3690 0.52624 0.776 0.024 0.004 0.188 0.008 0.000
#> 0B400F91-2355-43AB-AA86-725C21352AB7 1 0.5436 0.41447 0.612 0.208 0.004 0.172 0.004 0.000
#> 551A8A6F-1FDB-46A7-9926-94247CC94763 2 0.4561 0.60037 0.004 0.736 0.000 0.136 0.012 0.112
#> A3A40696-A53D-4605-98DA-51EDCB56ECA0 3 0.2189 0.70539 0.000 0.060 0.904 0.032 0.004 0.000
#> 00680EC1-91B5-4B70-BA5A-012B4292AADB 1 0.6561 0.48414 0.568 0.076 0.000 0.168 0.012 0.176
#> F4142833-0749-44A4-B769-66262AA4A484 5 0.5167 0.48989 0.020 0.296 0.060 0.004 0.620 0.000
#> EDBF3D6C-29A5-4474-BF64-C1CF8AA24A2E 3 0.8631 0.28297 0.044 0.132 0.348 0.192 0.032 0.252
#> 716A9869-BDFB-4DAD-91CD-23739BDDC53C 3 0.1951 0.72323 0.004 0.016 0.932 0.012 0.012 0.024
#> CA502AEA-B561-4ED8-B152-5F477B110EC5 4 0.5621 0.33771 0.032 0.004 0.036 0.652 0.044 0.232
#> B1F7AADF-8867-48D3-9116-854929420482 6 0.5074 0.28630 0.008 0.004 0.004 0.332 0.052 0.600
#> EF66E366-408C-4EB8-95B4-4EDDA9AD444E 2 0.4606 0.51374 0.008 0.708 0.076 0.204 0.004 0.000
#> E904AF70-AB44-4B8A-99DF-6E7D3D9EC049 1 0.4223 0.47309 0.708 0.012 0.004 0.256 0.016 0.004
#> 3B458A9A-FD0B-47BF-81A3-77322ABF44C9 1 0.4543 0.58307 0.748 0.136 0.000 0.088 0.004 0.024
#> 67E3A5B5-5920-47C3-B5CA-9C45BB893B18 4 0.7740 0.16737 0.032 0.088 0.112 0.452 0.028 0.288
#> 69B229BC-0964-48FC-9FBC-B9303C027981 6 0.4037 0.47745 0.000 0.100 0.004 0.084 0.020 0.792
#> F17C0E73-4C34-4F82-8562-56985A59316C 1 0.8849 0.08807 0.332 0.028 0.208 0.168 0.060 0.204
#> 199A9979-FEF6-4F99-8EBB-4C5635295F82 1 0.6841 0.28143 0.440 0.000 0.272 0.016 0.028 0.244
#> 8DD3249B-00C3-4795-AC06-4335DACC6E4A 2 0.5723 0.42999 0.008 0.600 0.016 0.288 0.016 0.072
#> EAD4ECA0-8B2A-4AB6-9ACC-94EF99D9BE70 1 0.4698 0.58918 0.756 0.000 0.108 0.084 0.012 0.040
#> 4777AF51-3DAE-4A9D-9677-0B1AAEF2B219 6 0.4894 0.08776 0.396 0.012 0.016 0.000 0.016 0.560
#> 1CF6304F-2D52-46B1-8FE6-E3018AAA4288 3 0.4765 0.68286 0.136 0.000 0.752 0.040 0.036 0.036
#> 35A68A07-4056-4C7F-AAEC-503A1E022A18 5 0.3817 0.66779 0.000 0.000 0.140 0.020 0.792 0.048
#> 65E5BE0C-8C24-4F25-8067-73348FC6CA7A 1 0.3369 0.62118 0.832 0.000 0.000 0.032 0.028 0.108
#> 8DE48310-7580-4C29-95FA-E109C55EB74C 6 0.6390 0.47486 0.156 0.000 0.080 0.120 0.028 0.616
#> 49FB1493-10EA-46CA-9022-57FC2D0593EF 1 0.5321 0.43107 0.620 0.264 0.004 0.100 0.012 0.000
#> 8726867D-3708-4A20-9D68-04FF9D61CE27 1 0.5877 0.50623 0.616 0.000 0.004 0.052 0.212 0.116
#> 13138496-2362-49FA-9CBF-35EBB0843924 3 0.5698 0.51058 0.000 0.104 0.604 0.032 0.004 0.256
#> 0318E33D-FE94-4AAE-A20B-FCB4B6490729 6 0.5954 0.38528 0.008 0.068 0.000 0.220 0.088 0.616
#> 44A16F74-F823-4B27-AC3B-52526426199B 2 0.4623 0.58494 0.016 0.736 0.028 0.188 0.028 0.004
#> 9B5B11A7-05AF-4B1C-93E3-F82E3ADDE43D 2 0.2495 0.65603 0.028 0.904 0.016 0.004 0.008 0.040
#> D868AC1A-11DB-4A07-BF2F-1429FA197F7B 3 0.3348 0.67957 0.000 0.108 0.832 0.048 0.008 0.004
#> 4AFBA9FB-3DBA-4271-B20D-40580B89D09E 6 0.4546 0.51332 0.076 0.000 0.012 0.032 0.116 0.764
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